Nonparametric bootstrap analysis with applications to demographic effects in demand functions.

P L Gozalo

doi:10.1016/s0304-4076(97)86571-2

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Nonparametric bootstrap analysis with applications to demographic effects in demand functions.

P L Gozalo

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Abstract

"A new bootstrap proposal, labeled smooth conditional moment (SCM) bootstrap, is introduced for independent but not necessarily identically distributed data, where the classical bootstrap procedure fails.... A good example of the benefits of using nonparametric and bootstrap methods is the area of empirical demand analysis. In particular, we will be concerned with their application to the study of two important topics: what are the most relevant effects of household demographic variables on demand behavior, and to what extent present parametric specifications capture these effects."

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Behavior Demography Evaluation Studies as Topic Family Characteristics Models, Theoretical Population Population Dynamics Research Demographic Factors Evaluation Family And Household Households Research Methodology World Journal Article

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P L Gozalo. 1997. Nonparametric bootstrap analysis with applications to demographic effects in demand functions.. https://doi.org/10.1016/s0304-4076(97)86571-2

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