Browsing by Author "Kale, Pelin"
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Item Open Access Application of cointegration analysis to the demand for labor by the Turkish private manufacturing sector(1995) Kale, PelinIn this study, the demand for labor by the Turkish private manufacturing sector is analyzed for three time periods; 1988 quailer 1-1993 quarter 4, 1988 quarter 1 - 1994 quarter 1, 1988 quarter 1-1994 quarter 2 to be able to capture the effects of the economic crisis of 1994 based on an approach treating employment as a function of output and real wage within an Enor Correction Modeling Approach. In the seaich for possible long run relationships between the vaiiables of interest, Johansen’s Maximum Likelihood procedure is applied to the first difference of variables since all the data series are integrated of order 1. A unique cointegrating relationship is found for each time period. Upon testing and rejecting the exogeneity of the real wage and output series for the demand for labor, short run models are built for each period which are consistent with theoiy but may be subject to biases due to simultaneity between the variables of interest.Item Open Access Three essays on technical efficiency in Turkish manufacturing industries(2001) Kale, PelinThis study includes three essays on technical efficiency in Turkish manufacturing industries during 1983-1994. The first one, presented in Chapter III, investigates the sources of inefficiency in the food, textiles, machinery, chemicals and the aggregate manufacturing industries within a stochastic frontier (SF) framework. Panel data sets with four-digit industries are used. Among possible sources of inefficiency, industry-specific structural and organizational factors are considered. Results suggest that public ownership is detrimental to technical efficiency while higher real wages or engagement in international trade enhances it. Regarding the effects of domestic competition, no common pattern emerges. The second essay, presented in Chapter IV, investigates the time pattern of technical efficiency and technological change. Parametric SF and nonparametric data envelopment analysis (DEA) techniques are applied to five panel data sets used in the first essay. Results suggest that mean efficiency increased in the chemicals industry, declined in the machinery industry and remained time-invariant in the food, textiles and the aggregate manufacturing industries. Malmquist productivity indices show that sources of productivity growth differed across industries. In the food and machinery industries, technological progress accounted for productivity improvements while the chemicals and textiles industries witnessed significant efficiency improvements. The third essay, presented in Chapter V, uses semiparametric methods to construct an efficient frontier for the aggregate manufacturing industry. The benchmark technology is estimated by kernel regressions and efficiency scores calculated by fixed effects models. Comparison of results to those from DEA and SF models suggest that semiparametric and SF models not only yield close mean efficiency estimates but also are highly consistent in ranking industries.