Making noisy data sing. Estimating production technologies in developing countries

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Maximum-likelihood estimators of production technologies are developed that deal with missing data and measurement errors, making alternative assumptions regarding the endogeneity of labor and missing data patterns. The estimators yield indices of the returns to scale, mean 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, they are applied to Chilean industrial census data, and compared with 'naive' estimators that do not recognize data imperfections.

Original languageEnglish (US)
Pages (from-to)25-44
Number of pages20
JournalJournal of Econometrics
Issue number1-3
StatePublished - 1992

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


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