On a Production Function of European Countries: An Empirical Study

Authors

  • Jiří Mazurek Silesian University in Opava, School of Business Administration in Karviná, Department of Informatics and Mathematics, Opava, Czech Republic

DOI:

https://doi.org/10.2478/cer-2018-0009

Keywords:

cross‑sectional study, production function, European countries

Abstract

The aim of this paper is to examine the goodness‑of‑fit of several aggregated production functions including the Cobb‑Douglas function, the Mankiw, Romer and Weil model, or Mincer’s specification for a set of 30 European countries during the period 2006–2015. The dependent variable was economic output measured in real GDP, while the set of independent variables included labour, physical capital, human capital, labour productivity or technology level. The main finding of the paper is that all the above‑mentioned aggregate production functions fitted the data exceptionally well, with the adjusted coefficients of determination above 0.95. Also, it was found that the inclusion of other macroeconomic variables, such as labour productivity, human capital or technology level to the two‑factor Cobb‑Douglas function did not result in a significantly better goodness‑of‑fit.

Downloads

Download data is not yet available.

References

Cobb, C. W., Douglas, P. H. (1928), A Theory of Production, ‘American Economic Review’, 18.
Google Scholar

Dissanayake, J., Sim, N. (2010), Cross Country Empirical Investigation of the Aggregate Production Function Using Panel Quantile Regression. [In]: Proceedings of the 39th Australian Conference of Economists (ACE 10).
Google Scholar

Duffy, J., Papageorgiou, C. (2000), A Cross‑Country Empirical Investigation of the Aggregate Production Function Specification, ‘Journal of Economic Growth’, 5.
Google Scholar

Eurostat. (2016), available from: http://ec.europa.eu/eurostat/data/database.
Google Scholar

Ferreira, F. C., Issler, J. V., Pessoa, S. (2003), Testing Production Functions used in Empirical Growth Studies, ‘Ensaios Economicos’, 507.
Google Scholar

Human Development Report Office. (2013), available from: http://hdr.undp.org/en/2013‑report.
Google Scholar

Islam, N. (1995), Growth Empirics: A Panel Data Approach, ‘Quarterly Journal of Economics’, 110 (4).
Google Scholar

Mankiw, N. G., Romer, D., Weil, D. N. (1992), A contribution to the Empirics of Economic Growth, ‘Quarterly Journal of Economics’, 107.
Google Scholar

Mincer, J. (1974), Schooling, Experience and Earning, ‘NBER’, 1–4.
Google Scholar

O´Brien, R. M. (2007), A Caution Regarding Rules of Thumb for Variance Inflation Factors. ‘Quality and Quantity’, 41(5).
Google Scholar

Room, M. (2001), Potential Output Estimates for Central and East European Countries Using Production Function Method, ‘Working papers of Eesti Pank’, 2.
Google Scholar

Solow, R. M. (1957), Technical Change and the Aggregate Production Function, ‘Review of Economics and Statistics’, 39.
Google Scholar

WorldBank. (2016), available from: http://data.worldbank.org/.
Google Scholar

Downloads

Published

2018-10-02

How to Cite

Mazurek, J. (2018). On a Production Function of European Countries: An Empirical Study. Comparative Economic Research. Central and Eastern Europe, 21(2), 25–35. https://doi.org/10.2478/cer-2018-0009

Issue

Section

Articles