Increasing Returns to Scale in U.S. manufacturing industries: evidence from direct and reverse regression
AbstractIn this paper, I compare the OLS and IV estimators for the direct and reverse regression models in the context of estimating returns to scale and technical progress. It shows that the direct and reverse OLS estimators are inconsistent, that the direct OLS is always more precise than the reverse OLS under the normality assumption, and that the direct IV estimator and its reverse counterpart are consistent and asymptotically equivalent. Working with data from U.S. manufacturing industries over the last half-century, the estimation results show that in most industries increasing returns to scale are important and technical progress is small when it comes to explaining productivity growth.
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 Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg in its series Working Papers of BETA with number 2011-11.
Date of creation: 2011
Date of revision:
Contact details of provider:
Postal: PEGE. 61, Aven. de la Forêt-Noire 67000 Strasbourg
Phone: +33 3 68 85 20 69
Fax: +33 3 68 85 20 70
Web page: http://www.beta-umr7522.fr/
More information through EDIRC
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
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.:
- Susanto Basu & John G. Fernald, 1996.
"Returns to scale in U.S. production: estimates and implications,"
International Finance Discussion Papers
546, Board of Governors of the Federal Reserve System (U.S.).
- Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-83, April.
- Teugels, Jozef L., 1987. "Stochastic modelling and analysis: A computational approach,: Henk C. Thijms, Wiley Series in Probability and Mathematical Statistics (Wiley, New York, 1986) pp. xii + 418, [UK pound]19.95," Insurance: Mathematics and Economics, Elsevier, vol. 6(3), pages 233-234, July.
- Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
- Koebel, Bertrand M. & Laisney, François, 2010. "The aggregate Le Chatelier Samuelson principle with Cournot competition," ZEW Discussion Papers 10-009, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Bartelsman, Eric J., 1995. "Of empty boxes: Returns to scale revisited," Economics Letters, Elsevier, vol. 49(1), pages 59-67, July.
- Hall, Robert E, 1988.
"The Relation between Price and Marginal Cost in U.S. Industry,"
Journal of Political Economy,
University of Chicago Press, vol. 96(5), pages 921-47, October.
- Robert E. Hall, 1986. "The Relation Between Price and Marginal Cost in U.S. Industry," NBER Working Papers 1785, National Bureau of Economic Research, Inc.
- Roger E.A. Farmer & Jang Ting Guo, 1992.
"Real Business Cycles and the Animal Spirits Hypothesis,"
UCLA Economics Working Papers
680, UCLA Department of Economics.
- Farmer Roger E. A. & Guo Jang-Ting, 1994. "Real Business Cycles and the Animal Spirits Hypothesis," Journal of Economic Theory, Elsevier, vol. 63(1), pages 42-72, June.
- Kevin J. Fox & W. Erwin Diewert, 2004.
"On the Estimation of Returns to Scale, Technical Progress and Monopolistic Markups,"
Econometric Society 2004 Australasian Meetings
310, Econometric Society.
- Diewert, W. Erwin & Fox, Kevin J., 2008. "On the estimation of returns to scale, technical progress and monopolistic markups," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 174-193, July.
- Douglas Staiger & James H. Stock, 1994.
"Instrumental Variables Regression with Weak Instruments,"
NBER Technical Working Papers
0151, National Bureau of Economic Research, Inc.
- Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
- Arthur S. Goldberger, 1984. "Reverse Regression and Salary Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 19(3), pages 293-318.
- Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
- James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
- Subal C. Kumbhakar & Efthymios G. Tsionas, 2011. "Stochastic error specification in primal and dual production systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 270-297, March.
- Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, March.
- Pakes, Ariel, 1982. "On the Asymptotic Bias of Wald-Type Estimators of a Straight Line When Both Variables Are Subject to Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(2), pages 491-97, June.
If references are entirely missing, you can add them using this form.