Assessing the effects of measurement errors on the estimation of production functions

Journal of Applied Econometrics

Volumn 21, Issue 6, 2006, Pages 879-891

  Ornaghi, Carmine ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33750503588     PISSN: 08837252     EISSN: 10991255     Source Type: Journal    
DOI: 10.1002/jae.887     Document Type: Article

References (16)

1. Alonso-Borrego C, Sanchez-Mangas R. 2001. GMM estimation of a production function with panel data: an application to Spanish manufacturing firms. Working paper 01-55, Universidad Carlos III de Madrid.
2. Arellano M, Bond S. 1991. Some test of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58: 277-297.
3. Arellano M, Bover O. 1995. Another look at the instrumental variable estimation of error-component models. Journal of Econometrics 68: 29-52.
4. Beaulieu J, Mattey J. 1999. The effects of general inflation and idiosyncratic cost shocks on within-commodity price dispersion: evidence from microdata. Review of Economics and Statistics 81: 205-216.
5. Bils M, Klenow P. 2004. Some evidence on the importance of sticky prices. Journal of Political Economy 112: 947-985.
6. Blundell R, Bond S. 2000. GMM estimation with persistent panel data: an application to production functions. Econometric Reviews 19: 321-340.
7. Blundell R, Bond S, Windmeijer F. 2000. Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator. In Advances in Econometrics, Vol. 15: Nonstationary Panels, Panel Cointegration and Dynamic Panels, Baltagi B (ed.). JAI/Elsevier Science: Amsterdam.
8. Eslava M, Haltiwanger J, Kugler A, Kugler M. 2004. The effects of structural reforms on productivity and profitability enhancing reallocation: evidence from Colombia. Journal of Development Economics 75: 333-371.
9. Greenwood J, Hercowitz Z, Krussel P. 1997. Long-run implications of investment-specific technological change. American Economic Review 87: 342-362.
10. Griliches Z, Mairesse J. 1984. Productivity and R&D at the firm level. In R&D, Patents and Productivity, Griliches Z (ed.). University of Chicago Press: Chicago.
11. Hall R. 1988. The relation between price and marginal cost in US industry. Journal of Political Economy 96: 921-947.
12. Klette T. 1996. R&D, scope economies, and plant performance. RAND Journal of Economics 27: 502-522.
13. Klette T, Griliches Z. 1996. The inconsistency of common scale estimators when output prices are unobserved and endogenous. Journal of Applied Econometrics 11: 343-361.
14. Martin A, Suarez C. 1997. El stock de capital para las empresas de la encuesta sobre estrategias empresariales. Documento Interno n. 13, Programa de Investigaciones Económicas. Fundación Empresa Pública.
15. Olley G, Pakes A. 1996. The dynamics of productivity in the telecommunications equipment industry. Econometrica 64: 1263-1297.
16. Ornaghi C. 2003. Assessing the effects of measurement errors on the estimation of the production function. Working paper 02-33. Universidad Carlos III de Madrid.