Welfare Consequences of Information Aggregation and Optimal Market Size
William E. Griffiths () and
Gholamreza Hajargasht ()
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William E. Griffiths: Department of Economics, University of Melbourne, http://www.findanexpert.unimelb.edu.au/display/person7036
Department of Economics - Working Papers Series from The University of Melbourne
Abstract:
We consider mostly Bayesian estimation of stochastic frontier models where one-sided inefficiencies and/or the idiosyncratic error term are correlated with the regressors. We begin with a model where a Chamberlain-Mundlak device is used to relate a transformation of time-invariant effects to the regressors. This basic model is then extended in several directions: First an extra one-sided error term is added to allow for time-varying efficiencies. Next, a model with an equation for instrumental variables and a more general error covariance structure is introduced to accommodate correlations between both error terms and the regressors. Finally, we show how the analysis can be extended to a nonparametric technology using Bayesian penalised splines. An application of the first and second models to Philippines rice data is provided. A limited Monte Carlo experiment is used to investigate the consequences of ignoring correlation between the effects and the regressors, and choosing the wrong functional form for the technology.
Keywords: Technical Efficiency; Penalised Splines; Gibbs Sampling (search for similar items in EconPapers)
JEL-codes: C11 C12 C23 D24 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2015-01
New Economics Papers: this item is included in nep-ecm, nep-ore and nep-sea
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Persistent link: https://EconPapers.repec.org/RePEc:mlb:wpaper:1190
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