Estimating Production Functions with Robustness Against Errors in the Proxy Variables
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- Guofang Huang & Yingyao Hu, 2011. "Estimating production functions with robustness against errors in the proxy variables," CeMMAP working papers CWP35/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
References listed on IDEAS
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"R&D and productivity: Estimating production functions when productivity is endogenous,"
1246, University Library of Munich, Germany.
- 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.
- Jaumandreu, Jordi & Doraszelski, Ulrich, 2007. "R&D and productivity : estimating production functions when productivity is endogenous," UC3M Working papers. Economics we078652, Universidad Carlos III de Madrid. Departamento de Economía.
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- Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
- Daniel Ackerberg & Xiaohong Chen & Jinyong Hahn, 2011. "Asymptotic Variance Estimator for Two-Step Semiparametric Estimators," Cowles Foundation Discussion Papers 1803, Cowles Foundation for Research in Economics, Yale University.
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Kim, Kyoo il & Petrin, Amil & Song, Suyong, 2016. "Estimating production functions with control functions when capital is measured with error," Journal of Econometrics, Elsevier, vol. 190(2), pages 267-279.
- Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ECM-2011-11-07 (Econometrics)
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