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Production function estimation in Stata using the Olley and Pakes method AgEcon
Yasar, Mahmut; Raciborski, Rafal; Poi, Brian P..
Productivity is often computed by approximating the weighted sum of the inputs from the estimation of the Cobb–Douglas production function. Such estimates, however, may suffer from simultaneity and selection biases. Olley and Pakes (1996, Econometrica 64: 1263–1297) introduced a semiparametric method that allows us to estimate the production function parameters consistently and thus obtain reliable productivity measures by controlling for such biases. This study first reviews this method and then introduces a Stata command to implement it. We show that when simultaneity and selection biases are not controlled for, the coefficients for the variable inputs are biased upward and the coefficients for the fixed inputs are biased downward.
Tipo: Article Palavras-chave: Opreg; Levpet; Production function; Bias; Simultaneity; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122587
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kountry: A Stata utility for merging cross-country data from multiple sources AgEcon
Raciborski, Rafal.
This article describes kountry, a data-management command that can be used to translate one country-coding scheme into another, to recode country names into a “standardized form”, and to generate geographic-region variables. Users can build a custom dictionary through a helper command, kountryadd, that “teaches” kountry new name variations. The dictionary can be protected from an accidental overwriting through two helper commands: kountrybackup and kountryrestore.
Tipo: Article Palavras-chave: Kountry; Kountryadd; Kountrybackup; Kountryrestore; Country names; Country-coding schemes; Geographical; Region; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122601
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