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Estimating Production Functions When Productivity Change Is Endogenous Author info | Abstract | Publisher info | Download info | Related research | Statistics Marc-Andreas Muendler (University of California, San Diego)
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Production function estimation with micro-data shows that a persistent unobserved variable varies within firm or plant over time but resists treatment and may cause biases. This paper presents an estimation model of the firm under endogenous productivity change. The model implies that (i) the so-far untreated effect stems from firms' planned efficiency responses to the competitive environment and that (ii) a suit- able proxy to productivity is investment interacted with a sector-level competition variable. An application to Brazilian manufacturing firm data shows that this proxy and multivariate extensions yield coefficient estimates with considerably less noise in bootstraps than alternative proxies, while reducing the difference to fixed-effects estimation and remedying commonly suspected biases. Whereas productivity change is measured consistently, scale economies are not identified when produc- tivity and price are endogenous.
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Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number
2004-05.
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Date of creation: 29 Sep 2004Date of revision:
Handle: RePEc:cdl:ucsdec:2004-05Note: oai:cdlib1.org:ucsdecon-1022Contact details of provider: Postal: 9500 Gilman Drive, La Jolla, CA 92093-0508 Phone: (858) 534-3383 Fax: (858) 534-7040 Web page: http://repositories.cdlib.org/ucsdecon/ More information through EDIRC
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Keywords: Productivity ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , 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.)
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177, Econometric Society.
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"A Richer Understanding of Australia’s Productivity Performance in the 1990s: Improved estimates based upon firm-level panel data ,"
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545, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University.
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345, University of Oxford, Department of Economics.
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Ulrich Doraszelski & Jordi Jaumandreu, 2007.
"R&D and productivity : estimating production functions when productivity is endogenous ,"
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we078652, Universidad Carlos III, Departamento de Economía.
[Downloadable!]
Other versions:
Doraszelski, Ulrich & Jaumandreu, Jordi, 2008.
"R&D and Productivity: Estimating Production Functions when Productivity is Endogenous ,"
CEPR Discussion Papers
6636, C.E.P.R. Discussion Papers.
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"R&D and productivity: Estimating production functions when productivity is endogenous ,"
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1246, University Library of Munich, Germany.
[Downloadable!]
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