Making noisy data sing : a micro approach to measuring industrial efficiency
AbstractTechnical, scale and allocative inefficiency are widely believed to plague the industrial sectors of developing countries. This paper presents a way to measure this inefficiency with imperfect data. There is great interest in documenting the patterns and magnitudes of inefficiency, so that appropriate corrective policies can be designed. This paper presents a new approach to analyzing plant efficiency that recognizes and deals with such data imperfections as measurement error, missing observations and selectivity bias. The author has developed full-information maximum-likelihood (FIML) estimators of production technologies that deal with missing data and measurement errors, making alternative assumptions about the missing data patterns and the timing of employment and decisions. These estimators yield indices of the returns to scale, means square deviation from the efficient frontier and - when labor is treated as endogenous - mean square deviation from efficient factor mixes. To gauge the performance of the alternative estimators, the author applies them to census data on Chilean industry, and compares the results with naive estimators that do not recognize data imperfections.
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Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 327.
Date of creation: 31 Jan 1990
Date of revision:
Economic Theory&Research; Environmental Economics&Policies; Statistical&Mathematical Sciences; Information Technology; Banks&Banking Reform;
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- Schmidt, Peter & Lovell, C. A. Knox, 1980. "Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated," Journal of Econometrics, Elsevier, vol. 13(1), pages 83-100, May.
- Schmidt, Peter & Knox Lovell, C. A., 1979. "Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers," Journal of Econometrics, Elsevier, vol. 9(3), pages 343-366, February.
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- repec:ner:louvai:info:hdl:2078.1/86755 is not listed on IDEAS
- Bound, John & Griliches, Zvi & Hall, Bronwyn H, 1986. "Wages, Schooling and IQ of Brothers and Sisters: Do the Family Factors Differ?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(1), pages 77-105, February.
- Jacques Mairesse & Zvi Griliches, 1991. "Heterogeneity in Panel Data: Are There Stable Production Functions?," NBER Working Papers 2619, National Bureau of Economic Research, Inc.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
- Pack, Howard, 1988. "Industrialization and trade," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 9, pages 333-380 Elsevier.
- Gourieroux, Christian & Monfort, Alain, 1981. "On the Problem of Missing Data in Linear Models," Review of Economic Studies, Wiley Blackwell, vol. 48(4), pages 579-86, October.
- Kumbhakar, Subal C., 1987. "The specification of technical and allocative inefficiency in stochastic production and profit frontiers," Journal of Econometrics, Elsevier, vol. 34(3), pages 335-348, March.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
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