Measuring Inefficiency of the Czech Labour Market

AIGNER, D., LOVELL, C.A.K., SCHMIDT, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics 6, 21-37.10.1016/0304-4076(77)90052-5Search in Google Scholar

AMSLER, C., LEE, Y. H., SCHMIDT, P. (2009). A Survey of Stochastic Frontier Models and Likely Future Developments. Seoul Journal of Economics 22 (1), 5-27.Search in Google Scholar

ARELLANO, M., BOND, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equation. Review of Economic Studies 58, 277-297.10.2307/2297968Search in Google Scholar

BATTESE, G. E., COELLI, T. J. (1993). A Stochastic Frontier Production Function Incorporating a Model For Technical Inefficiency Effects. Working Papers in Econometrics and Applied Statistics. No. 69. University of New England.Search in Google Scholar

BATTESE, G. E., COELLI, T. J. (1995). A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics 20, 325-332.10.1007/BF01205442Search in Google Scholar

Czech National Bank. Public time series database ARAD available at http://www.cnb.cz/docs/ARADY/HTML/index_en.htm.Search in Google Scholar

GALUŠČÁK, K., MÜNICH, D. (2007). Structural and Cyclical Unemployment: What Can Be derived from the Matching Function. Czech Journal of Economics and Finance 57, 102-125.Search in Google Scholar

GORTER, C., NIJKAMP, P., PELS, E. (1997). Vacancy Dynamics and Labor Market Efficiency in the Dutch Labor Market. Growth and Change 28, 173-200.10.1111/j.1468-2257.1997.tb00769.xSearch in Google Scholar

GREENE, W. H. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics 126 (2), 269-303.10.1016/j.jeconom.2004.05.003Search in Google Scholar

ILMAKUNNAS, P., PESOLA, H. (2003). Regional Labour Market Matching Functions and Efficiency Analysis. Labour 17, 413-437.10.1111/1467-9914.00247Search in Google Scholar

International Financial Statistics. Database of International Monetary Fund available at http://www.imf.org/external/data.htm.Search in Google Scholar

JONDROW, J., LOVELL, C. A. K., MATEROV, I. S., SCHMIDT, P. (1982): On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model. Journal of Econometrics 19, 233-238.10.1016/0304-4076(82)90004-5Search in Google Scholar

KALMAN, R. E. (1979): A system-theoretic critique of dynamic economic models. Lecture Notes in Control and Information Sciences 19, 3-24.10.1007/BFb0049018Search in Google Scholar

Ministry of Labour and Social Affairs. Unemployment statistics (quarterly and monthly) available at http://portal.mpsv.cz/sz/stat/nzSearch in Google Scholar

MÜNICH, D., ŠVEJNAR, J., TERELL, K. (1999): Worker-Firm Matching and Unemployment in Transition to a Market Economy: (Why) Are the Czechs More Successful than Others? (January 1999). CERGE-EI Working Paper No. 141. Available at http://dx.doi.org.sci-hub.org/10.2139/ssrn.164555Search in Google Scholar

NĚMEC, D. (2013a). Evaluating labour market flexibility in V4 countries. In Vojáčková, H. (ed.) Proceedings of 31st International Conference Mathematical Methods in Economics. College of Polytechnics Jihlava, Jihlava, 661-666.Search in Google Scholar

NĚMEC, D. (2013b). Investigating Differences between the Czech and Slovak Labour Market Using a Small DSGE Model with Search and Matching Frictions. The Czech Economic Review 7, 21-41.Search in Google Scholar

NĚMEC, D. (2014a). Efficiency of the matching process on the Czech regional labour markets. In Reiff, M., Gežík. P. (eds.) Proceedings of the International Scientific Conference QUANTITATIVE METHODS IN ECONOMICS Multiple Criteria Decision Making XVII. Vydavateľstvo EKONÓM, Bratislava, 188-195. NĚMEC, D. (2014b) Efficiency of the European labour markets: The Case of Czech Republic (A Stochastic frontier model approach). In Talašová, J., Stoklasa, J., Talášek, T. (eds.) 32nd International Conference Mathematical Methods in Economics Conference Proceedings. Palacký University, Olomouc, 703-708.Search in Google Scholar

POLASEK, W., SELLNER, R. (2013): Does Globalization Affect Regional Growth? Evidence for NUTS-2 Regions in EU-27. DANUBE: Law and Economics Review 4 (1), 23-65.10.2478/danb-2013-0002Search in Google Scholar

TVRDOŇ, M., VERNER, T. (2012). Regional unemployment disparities and their dynamics: Evidence from the Czech Republic. In Ramík, J., Stavárek, D. (eds.) Proceedings of 30th International Conference Mathematical Methods in Economics. Silesian University in Opava, School of Business Administration in Karviná, 938-943.Search in Google Scholar

WANG, H.-J., HO, C.-W. (2010). Estimating fixed-effect panel stochastic frontier models by transformation. Journal of Econometrics 157, 286-296.10.1016/j.jeconom.2009.12.006Search in Google Scholar

WANG, H.-J., Schmidt, P, (2002). One-step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels. Journal of Productivity Analysis 18 (20), 1296-144Search in Google Scholar