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Long Run Profit Maximization in the Turkish Manufacturing Sector

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Author Info
Avni Onder Hanedar () (Department of Economics, Faculty of Business, Dokuz Eylül University)
Elmas Yaldiz () (Department of Economics, Izmir University of Economics)
Ozgul Bilici () (Department of Economics, Izmir University of Economics)
Onur Akkaya
Abstract

The purpose of this research is to investigate whether the long-run relationship implied by profit maximization is valid for the Turkish manufacturing industry for the period of 1950-2001. During this period, the Turkish economy has experienced important policy changes, for example the implementation of liberalization policies after the 1980s. Thus, the possible effects of economic policy implementations over the profit maximization in the Turkish manufacturing sector will also be studied by using advanced time series techniques such as the Zivot and Andrews (1992) unit root test and the Gregory and Hansen (1996) co-integration test. The results of the study show that rationalization mechanism does not appear to work in Turkey. Because most of the previous studies on this issue are concentrated in developed countries and also, there has been little research into the Turkish manufacturing sector, the contribution of this study is important.

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File URL: http://www.deu.edu.tr/UploadedFiles/Birimler/12741/06_02.pdf
File Format: application/pdf
File Function: First version, 2006
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Publisher Info
Paper provided by Dokuz Eylül University, Faculty of Business, Department of Economics in its series Discussion Paper Series with number 06/02.

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Length: 13 pages
Date of creation: 30 Nov 2006
Date of revision: 30 Nov 2006
Handle: RePEc:deu:dpaper:0602

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Web page: http://www.deu.edu.tr/DEUWeb/Icerik/Icerik.php?KOD=442
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Related research
Keywords: Long run equilibrium co-integration elasticity of substitution structural breaks

Find related papers by JEL classification:
J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Phillips, P.C.B., 1986. "Testing for a Unit Root in Time Series Regression," Cahiers de recherche 8633, Universite de Montreal, Departement de sciences economiques.
    Other versions:
  2. Allan W. Gregory & Bruce E. Hansen, 1992. "Residual-Based Tests for Cointegration in Models with Regime Shifts," Working Papers 862, Queen's University, Department of Economics.
    Other versions:
  3. Jenkinson, T J, 1986. "Testing Neo-Classical Theories of Labour Demand: An Application of Cointegration Techniques," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 241-51, August.
  4. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March. [Downloadable!] (restricted)
  5. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November. [Downloadable!] (restricted)
    Other versions:
  6. Pål Boug, 1999. "The Demand for Labour and the Lucas Critique. Evidence from Norwegian Manufacturing," Discussion Papers 256, Research Department of Statistics Norway. [Downloadable!]
  7. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
  8. Zivot, Eric & Andrews, Donald W K, 1992. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 251-70, July.
    Other versions:
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