The Impact of Capital Measurement Error Correction on Firm-Level Production Function Estimation
AbstractBased on a large panel of Czech manufacturing firms, we estimate firm-level production functions in 2003-2007 using the Levinsohn and Petrin (2003) and Wooldridge (2009) approaches, correcting for the measurement error in capital. We show that measurement error plays a significant role in the size of the estimated capital coefficient. The capital coefficient estimate approximately doubles (depending on the particular industry) when we control for capital measurement error. Consequently, while the majority of industries exhibit constant or (in)significantly decreasing returns to scale when the standard methods are used, increasing returns cannot be rejected in some industries when the estimation is corrected for capital measurement error.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Czech National Bank, Research Department in its series Working Papers with number 2011/09.
Date of creation: Nov 2011
Date of revision:
Contact details of provider:
Postal: Na Prikope 28, 115 03 Prague 1
Phone: 00420 2 2442 1111
Fax: 00420 2 2421 8522
Web page: http://www.cnb.cz/en/research/research_intro/
More information through EDIRC
Capital; firm-level data; measurement error.;
Other versions of this item:
- Lubomir Lizal & Kamil Galuščák, 2012. "The Impact of Capital Measurement Error Correction on Firm-Level Production Function Estimation," William Davidson Institute Working Papers Series wp1026, William Davidson Institute at the University of Michigan.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
This paper has been announced in the following NEP Reports:
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.:
- Rumen Dobrinsky & Gábor Korösi & Nikolay Markov & László Halpern, 2004.
"Firms’ Price Markups and Returns to Scale in Imperfect Markets: Bulgaria and Hungary,"
William Davidson Institute Working Papers Series
2004-710, William Davidson Institute at the University of Michigan.
- Rumen Dobrinsky & Gabor Korosi & Nikolay Markov & Laszlo Halpern, 2004. "Firms’ Price Markups and Returns to Scale in Imperfect Markets - Bulgaria and Hungary," IEHAS Discussion Papers 0412, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
- Kamil Galuscak & Daniel Munich, 2005. "Structural and Cyclical Unemployment: What Can We Derive from the Matching Function?," Working Papers 2005/02, Czech National Bank, Research Department.
- Kamil Dybczak & Vladislav Flek & Dana Hajkova & Jaromir Hurnik, 2006. "Supply-Side Performance and Structure in the Czech Republic (1995-2005)," Working Papers 2006/4, Czech National Bank, Research Department.
- Vladislav Flek & Mojmír Hájek & Jaromír Hurník & Ladislav Prokop & Lenka Racková, 2001. "Supply-side performance and structure," Politická ekonomie, University of Economics, Prague, vol. 2001(6).
- Dietrich Earnhart & Lubomir Lizal, 2010. "Pollution Control in a Transition Economy: Do Firms Face Economies and/or Diseconomies of Scale?," CERGE-EI Working Papers wp405, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
- Dietrich Earnhart & Lubomir Lizal, 2006. "Pollution, Production, and Sectoral Differences in a Transition Economy," Comparative Economic Studies, Palgrave Macmillan, vol. 48(4), pages 662-681, December.
- Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
- Gábor Kátay & Zoltán Wolf, 2008. "Driving Factors of Growth in Hungary - a Decomposition Exercise," MNB Working Papers 2008/6, Magyar Nemzeti Bank (the central bank of Hungary).
- Dana Hajkova, 2008. "The Measurement of Capital Services in the Czech Republic," Working Papers 2008/11, Czech National Bank, Research Department.
- Carmine Ornaghi, 2006. "Assessing the effects of measurement errors on the estimation of production functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 879-891.
- Adam Gersl & Ieva Rubene & Tina Zumer, 2007. "Foreign Direct Investment and Productivity Spillovers: Updated Evidence from Central and Eastern Europe," Working Papers 2007/8, Czech National Bank, Research Department.
- Štěpán Jurajda & Juraj Stančík, 2013. "Organization and Firm Performance in the Czech Republic," Prague Economic Papers, University of Economics, Prague, vol. 2013(1), pages 85-110.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jan Babecky).
If references are entirely missing, you can add them using this form.