Ali Ajami Transitions For Essays

Definitions and dimensions of empowerment

The word empowerment by Oxford definition means giving power or the right of doing something to someone. Employee empowerment is generally a contribute process applied to utilize all capacities of employees and to encourage them to increase their commitment to their job. Some people believe that empowerment is a type of decentralization which requires assigning basic decision making to subordinates. Furthermore, empowerment provides decision- making powers and lets employees perform according to their desire. Therefore, it is an important management tool to provide service quality.[15]

Today, empowerment is regarded as one of the useful tools in promoting employees and increasing organizational effectiveness. In order to be successful in today's changing environment, organizations need knowledge, ideas, energy and creativity of all employees, including those at the first level to top managers.[16] Therefore, investigating methods to increase efficiency and use employees’ maximum capabilities toward achieving organizational objectives has been a continuous challenge for managers and management scholars; so that in recent years empowerment has changed into a typical management term.

Researchers have viewed empowerment from different perspectives: Some concepts such as personal work control, independence in task performance, payment system associated with performance or payment based on performance, job enrichment, employee stock ownership and so on.[17] These different views are not purely personal, but they are techniques which theorists and administrators use in order to create an empowering environment or facilitate empowering conditions. Accordingly, different definitions have been provided on empowerment.

For example, Kinlow defines it as a process toward continuous improvement in organizational performance, which is possible through the expansion and development of influence based on individuals and team's qualifications whose performance affects the organization's general performance. Empowerment doesn’t mean giving employees the right to vote, autonomy or even motivation; despite a strong desire to do more work will result from empowerment. The long-term goal of empowerment is continuous improvement in organization's overall performance, whereas its short-term objective is just application of existing qualifications.[18]

Armstrong quotes Conger describes the empowerment as a process of reinforcing employees’ qualifications through identifying those conditions that have caused their weakness and trying to deal with problems through formal actions, informal techniques and also providing information which is necessary for their efficiency. Armstrong quotes Blak and Piterz have defined empowerment as power-sharing process between people who work in an organization. Armstrong quotes Karsten introduces empowerment as process of control and authority subdivision. Shootz believes that empowerment includes employees and managers’ full participation in decision-making.[19]

Various factors and variables affect employees’ empowerment as listed in Table 1.

Table 1

Various ideas about empowerment dimensions

Given different views toward empowerment definitions and criterion, this research has been done based on the best and most comprehensive model which is more adaptable with employees’ present conditions in our country. According to this model that is called Ardalan Model, the most important dimensions of empowerment include:

  1. Employees’ performance improvement

  2. Occupational freedom and independence

  3. Increased decision-making responsibility

  4. Increased employment opportunities

  5. Enhanced a self-control

  6. Increased staff knowledge

  7. Professional development of staff.[29]

Ardalan in his Master's thesis entitled “Investigating the Effects of IT on Employees Occupational Empowerment”, said that IT increases employees’ knowledge and awareness leading to easier and more exact communications, less expenses and decrease in human error in the information process. Today, organizations can transfer orders and messages along organization without traditional management structures. This is possible through using computers and some parts of middle management and leadership responsibilities. This way, employees will have access to more information and increase their knowledge. They will also come to better results.[29]

Abdollahi and Nave-Ebrahim in his study on “Employees’ Empowerment: Golden Key for Human Resources Management”, said that having an appropriate career is one of the basic constituent elements of citizenship whose importance is not less than the presence at elections. Global developmental trends such as dramatic changes in demographic transition due to immigration, the emergence of new technologies and approaches in management have provided new horizons for employment planners. IT has generated new employment opportunities and brought about fundamental changes in many other jobs. In 2012, current jobs will be challenging and rewarding professions will be created. In the future, IT components will be more co-ordinated and their influence on employment status and the relation between developing and developed countries will be more evident. Not only has it created new professions which need special expertise in IT but also affected other jobs so that the time required acquiring knowledge will be shorter. In some cases it also leads to more limited works. Therefore, it can be considered as a facilitating factor in employees’ career. Moreover, professions content which identifies the amount of individual's challenge with the organization and task performance has a significant impact on job satisfaction, creating job opportunities, job productivity and personal status of employees in organizations and society and efficiency.[30]

Goudarzi and Gmynyan in his investigation entitled “Principles, Fundamentals and Theories of Organizational Culture and Climate” said that since independence affects the individuals’ needs to engage in decision-making and refers to influence on the control of career achievements, occupational freedom, giving comments and the right to vote, using IT and especially IT systems will facilitate organization's control and supervision through which managers supervision scope that is a limitation in traditional structures will expand. This leads to an increase in the number of middle managers and experts leading to less administrative levels. These facts show that IT helps employees to be more independent and free.[31]

According to Gudarzi, since the need for self-control and autonomy is a top scale, it is associated with an employees’ desire to engage in decision-making, identify objectives and work based on self-control and autonomous methods without others’ supervision. Employees tend to accept responsibilities and act freely and hence IT leads to an inner control system based on which individuals evaluate their own performance. This point emphasizes on the role of IT in increasing self-control.[31]

Sarrafizadeh in his research entitled “IT in Organizations” concludes that IT facilitates managers’ roles and responsibilities. Achieving required information in order to make decisions, more control and supervision on organization and processes, the ability to analyze conditions, analysis, programing and decision simulation are among IT significant impacts. Moreover, less time to respond and make decisions along with task assignment to lower levels will help managers to be away from daily routines and step toward designing and creating work opportunities. Higher information about the organization and related responsibilities leads to better decisions which in turn results in more commitment in decision-making. Lack of information is resolved through IT and decision supporting tools. Moreover, some of the greatest advantages of advanced IT that have provided a higher communication between managers, staff and clients include: Electronic message system, administrative information system and video conference.[23] Safarizadeh states that IT leads to employees’ more knowledge and enriches professional content. Knowledge helps employees to have professional command of the organization and if we accept the popular expression that “knowledge is the ability”, we can conclude that IT leads to employees’ professional development.[32] He refers to the quality and empowerment of human resources as important factors for organizations’ survival; in other words, human resources are more important than new financial technologies. It means that the main difference between organizations refers to their knowledge, not the financial status. The role of efficient, capable and knowledgeable human resources in organizational achievement is undeniable and human resources are regarded as the most important, expensive and valuable organizational assets that can create a powerful organization. A powerful organization is a place where employees co-operate in different activities; therefore, human resources help organizations’ productivity and eventually affect all the society. Undoubtedly, every community's prosperity is due to the development of human resources and thus administrators paying special attention to employees’ progress.[32]

Urei Yazdi quotes Veten and Kemron (2002) in a study entitled “Empowerment and Authority Assignment” said that performance improvement means higher productivity, better quality, less expenses, less errors, higher speed, service providing, client satisfaction and following rules and regulations. On the other hand, IT leads to minimize human errors in information processing, while providing service and client satisfaction increases. These facts emphasize that IT leads to employees’ better performance.[9]

Mazidabadi-Farahani (2004) in his research entitled “Investigating IT Applications in Employees” Occupational Empowerment in the Qom Social Security Organization" concludes that IT has empowered employees in the Qom Social Security organization. He relates this result to IT with probability of %95.[33]

Jafari et al. in a research entitled “Effective Strategies in Empowerment of Experts in Shahre Kord University of Medical Sciences” identify occupational freedom, human resources effective management, motivation promotion, self-management and organizational learning promotion as influencing factors in empowering medical experts of Chaharmahal VA Bakhtiari province.[34]

A study (2002) in America shows that IT plays a significant role in the fast data collection, global and fast access to a broad range of health information, a quick evaluation of information, better communication among health experts and more awareness through access to various information sources. This eventually leads to higher quality and facilitates medical researches.[35]

McGuire in a study in 2003, states that IT facilitates and speeds up data collection, categorization, access and exchange. It also helps in efficient management of resources, decreases inappropriate reception of patients and avoids repeated works leading to less organizational expenses.[36]

Affiliation

(99%) İktisat Bölümü
İşletme Fakültesi
Atılım Üniversitesi

Ankara, Turkey
http://www.econ.atilim.edu.tr/

: +90 312 586 8600
+90 312 586 8091
+90 312 586 8600
RePEc:edi:ibatitr (more details at EDIRC)

(1%) Bilimsel Mektuplar Organizasyonu (Scientific Letters Organization)

http://econometricsletters.com/view-articles/
Ankara

Research output

Jump to: Working papersArticles

Working papers

  1. Tolga Omay & Rangan Gupta & Giovanni Bonaccolto, 2015. "The US Real GNP is Trend-Stationary After All," Working Papers 201581, University of Pretoria, Department of Economics.
  2. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
  3. Omay, Tolga & Hasanov, Mubariz & Emirmahmutoglu, Furkan, 2014. "Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition," MPRA Paper 62335, University Library of Munich, Germany.
  4. Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2014. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working Papers 201462, University of Pretoria, Department of Economics.
    • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2015. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2015-02, University of Connecticut, Department of Economics.
    • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2016. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2016-20, University of Connecticut, Department of Economics.
  5. Omay, Tolga & Yildirim, Dilem, 2013. "Nonlinearity and Smooth Breaks in Unit Root Testing," MPRA Paper 62334, University Library of Munich, Germany.
  6. Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
  7. Omay, Tolga, 2012. "The comparison of optimization algorithms on unit root testing with smooth transition," MPRA Paper 42129, University Library of Munich, Germany.
  8. Omay, Tolga & Takay Araz, Bahar & Ilalan, Deniz, 2011. "The effects of terrorist activities on foreign direct investment: nonlinear Evidence," MPRA Paper 31015, University Library of Munich, Germany.
  9. Omay, Tolga, 2010. "A Nonlinear New Approach to Investigating Crisis: A Case from Malaysia," MPRA Paper 20738, University Library of Munich, Germany.
  10. Hasanov, Mübariz & Omay, Tolga, 2010. "The relationship between inflation, output growth, and their uncertainties: Evidence from selected CEE countries," MPRA Paper 23764, University Library of Munich, Germany.
  11. Omay, Tolga & Aluftekin, Nilay & Karadagli, Ece C., 2009. "The relationship between output growth and inflation: Evidence from Turkey," MPRA Paper 19953, University Library of Munich, Germany.
  12. Omay, Tolga, 2008. "The Term Structure of Interest Rate as a Predictor of Inflation and Real Economic Activity: Nonlinear Evidence from Turkey," MPRA Paper 28572, University Library of Munich, Germany.
  13. Omay, Tolga Omay & Hasanov, Mubariz, 2006. "Türkiye için reaksiyon fonksiyonunun doğrusal olmayan modelle tahmin edilmesi
    [A nonlinear estimation of monetary policy reaction function for Turkey]
    ," MPRA Paper 20154, University Library of Munich, Germany.

Articles

  1. Tolga Omay & Ayşegül Çorakcı & Furkan Emirmahmutoglu, 2017. "Real interest rates: nonlinearity and structural breaks," Empirical Economics, Springer, vol. 52(1), pages 283-307, February.
  2. Omay, Tolga & Emirmahmutoglu, Furkan & Denaux, Zulal S., 2017. "Nonlinear error correction based cointegration test in panel data," Economics Letters, Elsevier, vol. 157(C), pages 1-4.
  3. Tolga Omay & Rangan Gupta & Giovanni Bonaccolto, 2017. "The US real GNP is trend-stationary after all," Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 510-514, May.
  4. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
  5. Ayşegül Çorakcı & Furkan Emirmahmutoglu & Tolga Omay, 2017. "Re-examining the real interest rate parity hypothesis (RIPH) using panel unit root tests with asymmetry and cross-section dependence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 91-120, February.
  6. Aysegul Corakcı & Furkan Emirmahmutoglu & Omay Tolga, 2017. "PPP hypothesis and temporary structural breaks," Economics Bulletin, AccessEcon, vol. 37(3), pages 1541-1548.
  7. Tolga Omay & Mubariz Hasanov & Asli Yuksel & Aydin Yuksel, 2016. "A Note on the Examination of the Fisher Hypothesis by Using Panel Co-Integration Tests with Break," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 13-26, June.
  8. Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2015. "An empirical examination of the generalized Fisher effect using cross-sectional correlation robust tests for panel cointegration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 18-29.
  9. Tolga Omay & Nicholas Apergis & Hülya Özçelebi, 2015. "Energy Consumption And Growth: New Evidence From A Non-Linear Panel And A Sample Of Developing Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(02), pages 1-30.
  10. Omay, Tolga, 2015. "Fractional Frequency Flexible Fourier Form to approximate smooth breaks in unit root testing," Economics Letters, Elsevier, vol. 134(C), pages 123-126.
  11. Aysegül Çorakçi Eruygur & Tolga Omay, 2014. "Terrorism and the Stock Market: A Case Study for Turkey Using STR Models," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 220-227.
  12. Tolga Omay & Dilem Yildirim, 2014. "Nonlinearity and Smooth Breaks in Unit Root Testing," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 1-9.
  13. Tolga Omay, 2014. "A Survey about Smooth Transition Panel Data Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 18-29.
  14. K. Peren Arin & Tolga Omay & Deniz Timurçin, 2014. "A Note on the Efficiency Effects of Agglomeration Economies: Turkish Evidence," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 186-189.
  15. Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 34(2), pages 36-55.
    • Omay, Tolga & Hasanov, Mubariz & Ucar, Nuri, 2012. "Energy consumption and economic growth: evidence from nonlinear panel cointegration and causality tests," MPRA Paper 37653, University Library of Munich, Germany.
    • Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
  16. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.
  17. Omay Tolga & Araz-Takay Bahar & Eruygur Ayşegül & Kiliç Ilker, 2013. "The Effects of Terrorist Activities on Foreign Direct Investment: Nonlinear Evidence from Turkey," Review of Economics, De Gruyter, vol. 64(2), pages 139-158, August.
  18. Mübariz Hasanov & Tolga Omay, 2011. "The Relationship Between Inflation, Output Growth, and Their Uncertainties: Evidence from Selected CEE Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 5-20, July.
    • Mubariz Hasanov & Tolga Omay, 2012. "The Relationship between Inflation, output growth, and their Uncertainties: Evidence from selected CEE countries," Hacettepe University Department of Economics Working Papers 20128, Hacettepe University, Department of Economics.
    • Hasanov, Mübariz & Omay, Tolga, 2010. "The relationship between inflation, output growth, and their uncertainties: Evidence from selected CEE countries," MPRA Paper 23764, University Library of Munich, Germany.
  19. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.
  20. Tolga OMAY & Nilay ALUFTEKIN & Ece C. KARADAGLI, 2010. "The Relationship Between Output Growth And Inflation: Evidence From Turkey," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 55-63.
  21. Tolga Omay & Mubariz Hasanov, 2010. "The effects of inflation uncertainty on interest rates: a nonlinear approach," Applied Economics, Taylor & Francis Journals, vol. 42(23), pages 2941-2955.
  22. Omay, Tolga & Öznur Kan, Elif, 2010. "Re-examining the threshold effects in the inflation-growth nexus with cross-sectionally dependent non-linear panel: Evidence from six industrialized economies," Economic Modelling, Elsevier, vol. 27(5), pages 996-1005, September.
  23. Tolga Omay & Mübariz Hasanov, 2010. "Türkiye için Reaksiyon Fonksiyonunun Doğrusal Olmayan Modelle Tahmin Edilmesi," Journal of Humanities and Social Sciences, Cankaya University, Economics and Administrative Sciences, vol. 2(7), pages 467-490, November.
  24. Ucar, Nuri & Omay, Tolga, 2009. "Testing for unit root in nonlinear heterogeneous panels," Economics Letters, Elsevier, vol. 104(1), pages 5-8, July.
  25. Bahar Araz-Takay & K. Peren Arin & Tolga Omay, 2009. "The Endogenous And Non-Linear Relationship Between Terrorism And Economic Performance: Turkish Evidence," Defence and Peace Economics, Taylor & Francis Journals, vol. 20(1), pages 1-10.
  26. Hasanov, Mübariz & Omay, Tolga, 2008. "Monetary policy rules in practice: Re-examining the case of Turkey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(16), pages 4309-4318.
  27. Mubariz Hasanov & Tolga Omay, 2008. "Nonlinearities in emerging stock markets: evidence from Europe's two largest emerging markets," Applied Economics, Taylor & Francis Journals, vol. 40(20), pages 2645-2658.
  28. Mubariz Hasanov & Tolga Omay, 2007. "Are the Transition Stock Markets Efficient? Evidence from Non-Linear Unit Root Tests," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 7(2), pages 1-12.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.

    Cited by:

    1. Meng Yan & Zhen An, 2017. "Foreign Direct Investment and Environmental Pollution: New Evidence from China," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(1), pages 1-17.
  2. Omay, Tolga & Hasanov, Mubariz & Emirmahmutoglu, Furkan, 2014. "Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition," MPRA Paper 62335, University Library of Munich, Germany.

    Cited by:

    1. Aysegul Corakcı & Furkan Emirmahmutoglu & Omay Tolga, 2017. "PPP hypothesis and temporary structural breaks," Economics Bulletin, AccessEcon, vol. 37(3), pages 1541-1548.
    2. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
  3. Omay, Tolga & Yildirim, Dilem, 2013. "Nonlinearity and Smooth Breaks in Unit Root Testing," MPRA Paper 62334, University Library of Munich, Germany.

    Cited by:

    1. Abdul Aleem Qureshi & Syed Faizan Iftikhar & Mohsin Hasnain Ahmed, 2017. "The Fiscal Impacts of Privatization Reforms in Pakistan: A Dynamic Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(1), pages 17-32.
    2. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
    3. Melis Tartici, 2015. "A Reinvestigation of the Hysteresis Hypothesis in the OECD Countries," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 22-40.
    4. Omay, Tolga & Hasanov, Mubariz & Emirmahmutoglu, Furkan, 2014. "Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition," MPRA Paper 62335, University Library of Munich, Germany.
  4. Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.

    Cited by:

    1. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.
    2. Kurt A. Hafner & David Mayer-Foulkes, 2012. "Fertility, Human Development, and Economic Growth: Long- term Short-term Causal Links," DEGIT Conference Papers c017_024, DEGIT, Dynamics, Economic Growth, and International Trade.
      • Hafner, Kurt A. & Mayer-Foulkes, David, 2013. "Fertility, economic growth, and human development causal determinants of the developed lifestyle," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 107-120.
    3. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    4. Omay, Tolga & Emirmahmutoglu, Furkan & Denaux, Zulal S., 2017. "Nonlinear error correction based cointegration test in panel data," Economics Letters, Elsevier, vol. 157(C), pages 1-4.
    5. Ndoricimpa, Arcade, 2017. "Analysis of asymmetries in the nexus among energy use, pollution emissions and real output in South Africa," Energy, Elsevier, vol. 125(C), pages 543-551.
    6. Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2015. "An empirical examination of the generalized Fisher effect using cross-sectional correlation robust tests for panel cointegration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 18-29.
    7. Tolga Omay & Nicholas Apergis & Hülya Özçelebi, 2015. "Energy Consumption And Growth: New Evidence From A Non-Linear Panel And A Sample Of Developing Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(02), pages 1-30.
    8. Tolga Omay & Mubariz Hasanov & Asli Yuksel & Aydin Yuksel, 2016. "A Note on the Examination of the Fisher Hypothesis by Using Panel Co-Integration Tests with Break," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 13-26, June.
    9. Nermin Yaþar, 2017. "The Relationship between Energy Consumption and Economic Growth: Evidence from Different Income Country Groups," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 86-97.
    10. Mutascu, Mihai, 2016. "A bootstrap panel Granger causality analysis of energy consumption and economic growth in the G7 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 166-171.
    11. KARGI, Bilal, 2014. "Electricity Consumption and Economic Growth: A Long-Term Co-integrated Analysis for Turkey," MPRA Paper 55699, University Library of Munich, Germany.
  5. Omay, Tolga, 2012. "The comparison of optimization algorithms on unit root testing with smooth transition," MPRA Paper 42129, University Library of Munich, Germany.

    Cited by:

    1. Omay, Tolga & Yildirim, Dilem, 2013. "Nonlinearity and Smooth Breaks in Unit Root Testing," MPRA Paper 62334, University Library of Munich, Germany.
    2. Omay, Tolga & Hasanov, Mubariz & Emirmahmutoglu, Furkan, 2014. "Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition," MPRA Paper 62335, University Library of Munich, Germany.
  6. Omay, Tolga, 2010. "A Nonlinear New Approach to Investigating Crisis: A Case from Malaysia," MPRA Paper 20738, University Library of Munich, Germany.

    Cited by:

    1. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.
  7. Hasanov, Mübariz & Omay, Tolga, 2010. "The relationship between inflation, output growth, and their uncertainties: Evidence from selected CEE countries," MPRA Paper 23764, University Library of Munich, Germany.

    Cited by:

    1. Davtyan Azat, 2014. "GMM Estimation and Shapiro-Francia Normality Test: A Case Study of CEE Economies," International Journal of Economic Sciences, University of Economics, Prague, vol. 2014(1), pages 12-26.
    2. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
    3. Shah, Said Zamin & Baharumshah, Ahmad Zubaidi & Hook, Law Siong & Habibullah, Muzafar Shah, 2017. "Nominal uncertainty, real uncertainty and macroeconomic performance in a time-varying asymmetric framework: Implications for monetary policy," Research in International Business and Finance, Elsevier, vol. 42(C), pages 75-93.
    4. Adnen Ben Nasr & Mehmet Balcilar & Ahdi N. Ajmi & Goodness C. Aye & Rangan Gupta & Reneé van Eyden, 2014. "Causality between Inflation and Inflation Uncertainty in South Africa: Evidence from a Markov-Switching Vector Autoregressive Model," Working Papers 201453, University of Pretoria, Department of Economics.
      • Nasr, Adnen Ben & Balcilar, Mehmet & Ajmi, Ahdi N. & Aye, Goodness C. & Gupta, Rangan & van Eyden, Reneé, 2015. "Causality between inflation and inflation uncertainty in South Africa: Evidence from a Markov-switching vector autoregressive model," Emerging Markets Review, Elsevier, vol. 24(C), pages 46-68.
    5. Said Zamin Shah & Said Zamin Shah & Ahmad Zubaidi Baharumshah & Muzafar Shah Habibullah & Law Siong Hook, 2017. "The Asymmetric Effects of Real and Nominal Uncertainty on Inflation and Output Growth: Empirical Evidence from Bangladesh," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 377-386.
    6. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.
    7. Rene Coppe Pimentel & Taufiq Choudhry, 2014. "Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 71-92, January.
    8. Carmen PINTILESCU & Mircea ASANDULUI & Elena-Daniela VIORICA & Danut-Vasile JEMNA, 2016. "Investigation On The Causal Relationship Between Inflation, Output Growth And Their Uncertainties In Romania," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 17, pages 71-89, June.
    9. Samir Ghazouani, 2012. "Threshold Effect of Inflation on Growth: Evidence from MENA Region," Working Papers 715, Economic Research Forum, revised 2012.
    10. Tariq A.H. Al-Zuhd & Mohammad H. Saleh, 2017. "Inflation and Inflation Uncertainty Nexus in Kuwait: A GARCH Modeling Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 198-203.
  8. Omay, Tolga & Aluftekin, Nilay & Karadagli, Ece C., 2009. "The relationship between output growth and inflation: Evidence from Turkey," MPRA Paper 19953, University Library of Munich, Germany.

    Cited by:

    1. Hasanov, Mübariz & Omay, Tolga, 2010. "The relationship between inflation, output growth, and their uncertainties: Evidence from selected CEE countries," MPRA Paper 23764, University Library of Munich, Germany.
      • Mübariz Hasanov & Tolga Omay, 2011. "The Relationship Between Inflation, Output Growth, and Their Uncertainties: Evidence from Selected CEE Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 5-20, July.
      • Mubariz Hasanov & Tolga Omay, 2012. "The Relationship between Inflation, output growth, and their Uncertainties: Evidence from selected CEE countries," Hacettepe University Department of Economics Working Papers 20128, Hacettepe University, Department of Economics.
    2. Khemiri, Rim & Ali, Mohamed Sami Ben, 2013. "Exchange rate pass-through and inflation dynamics in Tunisia: A Markov-switching approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 7, pages 1-30.

Articles

  1. Tolga Omay & Ayşegül Çorakcı & Furkan Emirmahmutoglu, 2017. "Real interest rates: nonlinearity and structural breaks," Empirical Economics, Springer, vol. 52(1), pages 283-307, February.

    Cited by:

    1. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
    2. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    3. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
  2. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.

    Cited by:

    1. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
  3. Ayşegül Çorakcı & Furkan Emirmahmutoglu & Tolga Omay, 2017. "Re-examining the real interest rate parity hypothesis (RIPH) using panel unit root tests with asymmetry and cross-section dependence," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 91-120, February.

    Cited by:

    1. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    2. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
  4. Omay, Tolga & Yuksel, Asli & Yuksel, Aydin, 2015. "An empirical examination of the generalized Fisher effect using cross-sectional correlation robust tests for panel cointegration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 18-29.

    Cited by:

    1. Mustapha Ibn Boamah, 2017. "Common Stocks and Inflation: An Empirical Analysis of G7 and BRICS," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(2), pages 213-224, June.
    2. Tolga Omay & Mubariz Hasanov & Asli Yuksel & Aydin Yuksel, 2016. "A Note on the Examination of the Fisher Hypothesis by Using Panel Co-Integration Tests with Break," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 13-26, June.
  5. Tolga Omay & Nicholas Apergis & Hülya Özçelebi, 2015. "Energy Consumption And Growth: New Evidence From A Non-Linear Panel And A Sample Of Developing Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(02), pages 1-30.

    Cited by:

    1. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
  6. Omay, Tolga, 2015. "Fractional Frequency Flexible Fourier Form to approximate smooth breaks in unit root testing," Economics Letters, Elsevier, vol. 134(C), pages 123-126.

    Cited by:

    1. Abdul Aleem Qureshi & Syed Faizan Iftikhar & Mohsin Hasnain Ahmed, 2017. "The Fiscal Impacts of Privatization Reforms in Pakistan: A Dynamic Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(1), pages 17-32.
    2. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
    3. Tolga Omay & Rangan Gupta & Giovanni Bonaccolto, 2017. "The US real GNP is trend-stationary after all," Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 510-514, May.
    4. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    5. Tolga Omay & Mubariz Hasanov & Asli Yuksel & Aydin Yuksel, 2016. "A Note on the Examination of the Fisher Hypothesis by Using Panel Co-Integration Tests with Break," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 13-26, June.
    6. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
    7. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    8. Tolga Omay & Ayşegül Çorakcı & Furkan Emirmahmutoglu, 2017. "Real interest rates: nonlinearity and structural breaks," Empirical Economics, Springer, vol. 52(1), pages 283-307, February.
  7. Tolga Omay & Dilem Yildirim, 2014. "Nonlinearity and Smooth Breaks in Unit Root Testing," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 1-9. See citations under working paper version above.
  8. Tolga Omay, 2014. "A Survey about Smooth Transition Panel Data Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 18-29.

    Cited by:

    1. Meng Yan & Zhen An, 2017. "Foreign Direct Investment and Environmental Pollution: New Evidence from China," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(1), pages 1-17.
    2. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
  9. Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 34(2), pages 36-55.
    • Omay, Tolga & Hasanov, Mubariz & Ucar, Nuri, 2012. "Energy consumption and economic growth: evidence from nonlinear panel cointegration and causality tests," MPRA Paper 37653, University Library of Munich, Germany.
    • Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
    See citations under working paper version above.
  10. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.

    Cited by:

    1. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    2. Manuchehr Irandoust, 2017. "Symmetry, proportionality and productivity bias hypothesis: evidence from panel-VAR models," Economic Change and Restructuring, Springer, vol. 50(1), pages 79-93, February.
    3. Rafiq, Shudhasattwa & Sgro, Pasquale & Apergis, Nicholas, 2016. "Asymmetric oil shocks and external balances of major oil exporting and importing countries," Energy Economics, Elsevier, vol. 56(C), pages 42-50.
    4. Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2016. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2016-20, University of Connecticut, Department of Economics.
      • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2015. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2015-02, University of Connecticut, Department of Economics.
      • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2014. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working Papers 201462, University of Pretoria, Department of Economics.
    5. Raihan, Selim & Abdullah, S M & Barkat, Aroni & Siddiqua, Salina, 2017. "Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach," MPRA Paper 77172, University Library of Munich, Germany.
    6. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    7. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.
    8. Mishra, Vinod & Smyth, Russell, 2016. "Are natural gas spot and futures prices predictable?," Economic Modelling, Elsevier, vol. 54(C), pages 178-186.
    9. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
    10. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    11. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
    12. Melis Tartici, 2015. "A Reinvestigation of the Hysteresis Hypothesis in the OECD Countries," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 22-40.
  11. Omay Tolga & Araz-Takay Bahar & Eruygur Ayşegül & Kiliç Ilker, 2013. "The Effects of Terrorist Activities on Foreign Direct Investment: Nonlinear Evidence from Turkey," Review of Economics, De Gruyter, vol. 64(2), pages 139-158, August.

    Cited by:

    1. Hafiz Muhammad Abubakar Siddique & Rabia Liaqat & Kaleem Ullah, 2017. "Impact of Terrorism on Investment: Evidence from Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 6(4), pages 195-199, December.
    2. Kechagia, Polyxeni & Metaxas, Theodore, 2017. "FDI and Terrorism in the developing Asian countries: A panel data analysis," MPRA Paper 80945, University Library of Munich, Germany.
  12. Mübariz Hasanov & Tolga Omay, 2011. "The Relationship Between Inflation, Output Growth, and Their Uncertainties: Evidence from Selected CEE Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 5-20, July.
    • Mubariz Hasanov & Tolga Omay, 2012. "The Relationship between Inflation, output growth, and their Uncertainties: Evidence from selected CEE countries," Hacettepe University Department of Economics Working Papers 20128, Hacettepe University, Department of Economics.
    • Hasanov, Mübariz & Omay, Tolga, 2010. "The relationship between inflation, output growth, and their uncertainties: Evidence from selected CEE countries," MPRA Paper 23764, University Library of Munich, Germany.
    See citations under working paper version above.
  13. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.

    Cited by:

    1. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
    2. Shah, Said Zamin & Baharumshah, Ahmad Zubaidi & Hook, Law Siong & Habibullah, Muzafar Shah, 2017. "Nominal uncertainty, real uncertainty and macroeconomic performance in a time-varying asymmetric framework: Implications for monetary policy," Research in International Business and Finance, Elsevier, vol. 42(C), pages 75-93.
    3. Adnen Ben Nasr & Mehmet Balcilar & Ahdi N. Ajmi & Goodness C. Aye & Rangan Gupta & Reneé van Eyden, 2014. "Causality between Inflation and Inflation Uncertainty in South Africa: Evidence from a Markov-Switching Vector Autoregressive Model," Working Papers 201453, University of Pretoria, Department of Economics.
      • Nasr, Adnen Ben & Balcilar, Mehmet & Ajmi, Ahdi N. & Aye, Goodness C. & Gupta, Rangan & van Eyden, Reneé, 2015. "Causality between inflation and inflation uncertainty in South Africa: Evidence from a Markov-switching vector autoregressive model," Emerging Markets Review, Elsevier, vol. 24(C), pages 46-68.
    4. Rene Coppe Pimentel & Taufiq Choudhry, 2014. "Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1), pages 71-92, January.
  14. Tolga OMAY & Nilay ALUFTEKIN & Ece C. KARADAGLI, 2010. "The Relationship Between Output Growth And Inflation: Evidence From Turkey," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 55-63. See citations under working paper version above.
  15. Tolga Omay & Mubariz Hasanov, 2010. "The effects of inflation uncertainty on interest rates: a nonlinear approach," Applied Economics, Taylor & Francis Journals, vol. 42(23), pages 2941-2955.

    Cited by:

    1. Andrew Phiri, 2015. "Asymmetric cointegration and causality effects between financial development and economic growth in South Africa," Studies in Economics and Finance, Emerald Group Publishing, vol. 32(4), pages 464-484, October.
    2. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.
    3. Chen, Shyh-Wei & Hsu, Chi-Sheng, 2016. "Threshold, smooth transition and mean reversion in inflation: New evidence from European countries," Economic Modelling, Elsevier, vol. 53(C), pages 23-36.
    4. Phiri, Andrew, 2015. "Examining asymmetric effects in the South African Philips curve: Evidence from logistic smooth transition regression (LSTR) models," MPRA Paper 64487, University Library of Munich, Germany.
  16. Omay, Tolga & Öznur Kan, Elif, 2010. "Re-examining the threshold effects in the inflation-growth nexus with cross-sectionally dependent non-linear panel: Evidence from six industrialized economies," Economic Modelling, Elsevier, vol. 27(5), pages 996-1005, September.

    Cited by:

    1. Emirmahmutoglu, Furkan & Omay, Tolga, 2014. "Reexamining the PPP hypothesis: A nonlinear asymmetric heterogeneous panel unit root test," Economic Modelling, Elsevier, vol. 40(C), pages 184-190.
    2. Seleteng, Monaheng & Bittencourt, Manoel & van Eyden, Reneé, 2013. "Non-linearities in inflation–growth nexus in the SADC region: A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 30(C), pages 149-156.
    3. Cristina JUDE & Grégory LEVIEUGE, 2013. "Growth Effect of FDI in Developing Economies: the Role of Institutional Quality," LEO Working Papers / DR LEO 2251, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
      • JUDE, Cristina & LEVIEUGE, Gregory, 2013. "Growth effect of FDI in developing economies: The role of institutional quality," MPRA Paper 49321, University Library of Munich, Germany.
      • Cristina Jude & Grégory Levieuge, 2014. "Growth Effect of FDI in Developing Economies: the Role of Institutional Quality," Working Papers halshs-01014404, HAL.
      • C. Jude & G. Levieuge, 2015. "Growth effect of FDI in developing economies: The role of institutional quality," Working papers 559, Banque de France.
    4. Raghbendra Jha & Tu Dang, 2011. "Inflation variability and the relationship between inflation and growth," CAMA Working Papers 2011-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
      • Raghbendra Jha & Tu Ngoc Dang, 2012. "Inflation variability and the relationship between inflation and growth," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 5(1), pages 3-17, July.
      • Raghbendra Jha & Tu Dang, 2011. "Inflation variability and the relationship between inflation and growth," ASARC Working Papers 2011-08, The Australian National University, Australia South Asia Research Centre.
    5. Chen, Jinzhao & Quang, Thérèse, 2014. "The impact of international financial integration on economic growth: New evidence on threshold effects," Economic Modelling, Elsevier, vol. 42(C), pages 475-489.
    6. Ece C. KARADAGLI & Nazlı C. OMAY, 2012. "Testing Weak Form Market Efficiency Of Emerging Markets: A Nonlinear Approach," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 235-245.
    7. Thanh, Su Dinh, 2015. "Threshold effects of infl ation on growth in the ASEAN-5 countries: A Panel Smooth Transition Regression approach," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 20(38), pages 41-48.
    8. Danilo Trupkin & Raul Ibarra, 2011. "The Relationship between Inflation and Growth:A Panel Smooth Transition Regression Approach for Developed and Developing Countries," Documentos de Trabajo/Working Papers 1107, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    9. Muhammad Khan, 2013. "Inflation and Sectoral Output Growth Variability in Bulgaria," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(4), pages 687-704, December.
    10. Jude Eggoh, 2012. "Inflation Effects on Finance-Growth Link: A Panel Smooth Threshold Approach," International Economic Journal, Taylor & Francis Journals, vol. 26(4), pages 711-725, June.
    11. Nawalage S. Cooray, 2013. "An Empirical Analysis of Inflation-Growth Nexus in Developing Countries: The Case of Sri Lanka," Working Papers EMS_2013_21, Research Institute, International University of Japan.
    12. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
    13. Waseem Khadim & Saddam Ilyas & Bilal Mehmood, 2016. "Of Inflation and Growth Nexus in BRIMC Economies," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 32-45, January.
    14. Ciżkowicz, Piotr & Rzońca, Andrzej, 2010. "Inflation and corporate investment in selected OECD countries in the years 1960-2005 – an empirical analysis," MPRA Paper 29846, University Library of Munich, Germany.
    15. Omay, Nazli C. & Karadagli, Ece C., 2010. "Testing Weak Form Market Efficiency for Emerging Economies: A Nonlinear Approach," MPRA Paper 27312, University Library of Munich, Germany.
    16. Eggoh, Jude C. & Khan, Muhammad, 2014. "On the nonlinear relationship between inflation and economic growth," Research in Economics, Elsevier, vol. 68(2), pages 133-143.
    17. Bataa, Erdenebat & Wohar, Mark & Vivian, Andrew, 2015. "Changes in the relationship between short-term interest rate, inflation and growth: Evidence from the UK, 1820-2014," MPRA Paper 72422, University Library of Munich, Germany.
    18. Jaganath Behera & Alok Kumar Mishra, 2016. "Inflation and Economic Growth Nexus in BRICS: Evidence from ARDL Bound Testing Approach," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 4(1), pages 1-17, March.
    19. Raul Ibarra & Danilo Trupkin, 2011. "The Relationship between Inflation and Growth. A Panel Smooth Transition Regression Approach for Developed and Developing Countries," Documentos de trabajo 2011006, Banco Central del Uruguay.
    20. Timo Teräsvirta, 2909. "Nonlinear models in macroeconometrics," CREATES Research Papers 2017-32, Department of Economics and Business Economics, Aarhus University.
    21. Furkan Emirmahmutoðlu, 2014. "Cross-section Dependency and the Effects of Nonlinearity in Panel Unit Testing," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 30-36.
    22. Stephanie Kremer & Alexander Bick & Dieter Nautz, 2013. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Empirical Economics, Springer, vol. 44(2), pages 861-878, April.
      • Stephanie Kremer & Alexander Bick & Dieter Nautz, 2009. "Inflation and Growth: New Evidence From a Dynamic Panel Threshold Analysis," SFB 649 Discussion Papers SFB649DP2009-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
      • Kremer, Stephanie & Bick, Alexander & Nautz, Dieter, 2009. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Discussion Papers 2009/9, Free University Berlin, School of Business & Economics.
    23. Tolga Omay, 2014. "A Survey about Smooth Transition Panel Data Analysis," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 1(1), pages 18-29.
  17. Ucar, Nuri & Omay, Tolga, 2009. "Testing for unit root in nonlinear heterogeneous panels," Economics Letters, Elsevier, vol. 104(1), pages 5-8, July.

    Cited by:

    1. Pei-Long Shen & Chih-Wei Su & Hsu-Ling Chang, 2013. "Are real GDP levels nonstationary across Central and Eastern European countries?," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 99-108, July.
    2. Tsangyao Chang & Tsung-pao Wu & Rangan Gupta, 2013. "Are House Prices in South Africa Really Non-Stationary? Evidence from SPSM-Based Panel KSS Test with a Fourier Function," Working Papers 201324, University of Pretoria, Department of Economics.
    3. Guochen Pan & Sen-Sung Chen & Tsangyao Chang, 2012. "Does Gibrat’s Law Hold in the Insurance Industry of China? A Test with Sequential Panel Selection Method," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 59(3), pages 311-324, June.
    4. Chih-kai Chang & Tsangyao Chang, 2012. "Revisiting the sustainability of current account deficit: SPSM using the panel KSS Test with a Fourier Function," Economics Bulletin, AccessEcon, vol. 32(1), pages 538-550.
    5. Lau, Chi Keung Marco & Suvankulov, Farrukh & Su, Yongyang & Chau, Frankie, 2012. "Some cautions on the use of nonlinear panel unit root tests: Evidence from a modified series-specific non-linear panel unit-root test," Economic Modelling, Elsevier, vol. 29(3), pages 810-816.
    6. Ece C. KARADAGLI & Nazlı C. OMAY, 2012. "Testing Weak Form Market Efficiency Of Emerging Markets: A Nonlinear Approach," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(3(21)/ Fa), pages 235-245.
    7. He, Huizhen & Chou, Ming Che & Chang, Tsangyao, 2014. "Purchasing power parity for 15 Latin American countries: Panel SURKSS test with a Fourier function," Economic Modelling, Elsevier, vol. 36(C), pages 37-43.
    8. Omay, Tolga & Emirmahmutoglu, Furkan & Denaux, Zulal S., 2017. "Nonlinear error correction based cointegration test in panel data," Economics Letters, Elsevier, vol. 157(C), pages 1-4.
    9. Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
      • Omay, Tolga & Hasanov, Mubariz & Ucar, Nuri, 2012. "Energy consumption and economic growth: evidence from nonlinear panel cointegration and causality tests," MPRA Paper 37653, University Library of Munich, Germany.
      • Omay, Tolga & Hasanov, Mübariz & Uçar, Nuri, 2014. "Energy consumption and economic growth: Evidence from nonlinear panel cointegration and causality tests," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 34(2), pages 36-55.
    10. Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2016. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2016-20, University of Connecticut, Department of Economics.
      • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2015. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working papers 2015-02, University of Connecticut, Department of Economics.
      • Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2014. "Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence," Working Papers 201462, University of Pretoria, Department of Economics.
    11. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.
    12. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2017. "Energy demand convergence in APEC: An empirical analysis," Energy Economics, Elsevier, vol. 65(C), pages 32-41.
    13. Tsangyao Chang & Wen-Chi Liu & Goodness C. Aye & Rangan Gupta, 2016. "Are there housing bubbles in South Africa? Evidence from SPSM-based panel KSS test with a Fourier function," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 517-532.
    14. Chang, Ming-Jen & Su, Che-Yi, 2014. "Hysteresis versus natural rate in Taiwan's unemployment: Evidence from the educational attainment categories," Economic Modelling, Elsevier, vol. 43(C), pages 293-304.
    15. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2014. "Purchasing Power Parity in the BRICS and the MIST Countries: Sequential Panel Selection Method," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 1-12, Feburary.
    16. Tiwari, Aviral & Shahbaz, Muhammad & Shabbir, Muhammad, 2011. "Is per capita GDP non-linear stationary in SAARC countries?," MPRA Paper 29109, University Library of Munich, Germany.
    17. Mulatu Fekadu Zerihun & Marthinus C. Breitenbach, 2017. "Panel Data Analysis of the Proposed Monetary Union in the Southern African Development Community," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(4), pages 23-44, October-D.
    18. Lee, Kuei-Chiu, 2014. "Is per capita real GDP stationary in China? Sequential panel selection method," Economic Modelling, Elsevier, vol. 37(C), pages 507-517.
    19. Lee, Cheng-Feng, 2010. "Testing for unemployment hysteresis in nonlinear heterogeneous panels: International evidence," Economic Modelling, Elsevier, vol. 27(5), pages 1097-1102, September.
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