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A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING AgEcon
Temel, Tugrul T..
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.
Tipo: Conference Paper or Presentation Palavras-chave: Hypothesis test; The bootstrap; Nonparametric regression; Omitted variables; Research Methods/ Statistical Methods; C12; C14; C15.
Ano: 2001 URL: http://purl.umn.edu/20600
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Does Duality Theory Hold in Practice? A Monte Carlo Analysis for U.S. Agriculture AgEcon
Rosas, Francisco; Lence, Sergio H..
The Neoclassical theory of production establishes a dual relationship between the profit value function of a competitive firm and its underlying production technology. This relationship, usually referred to as the duality theory, has been widely used in empirical work to estimate production parameters without the requirement of explicitly specifying the technology. We analyze the ability of this approach to recover the underlying production parameters and its effects on estimated elasticities and scale economies measurements, when data available for estimation features typical realistic problems. We design alternative scenarios and compute the data generating process by Monte Carlo simulations, so as to know the true technology parameters as well as to...
Tipo: Conference Paper or Presentation Palavras-chave: Duality theory; Firm’s heterogeneity; Measurement error; Data aggregation; Omitted variables; Endogeneity; Uncertainty; Monte Carlo simulations.; Crop Production/Industries; Production Economics; Risk and Uncertainty; Q12; D22; D81.
Ano: 2011 URL: http://purl.umn.edu/103911
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