Date of Award

2011

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

First Advisor

Kurkalova, Lyubov

Abstract

This study presents an alternative method of empirical estimation of a logit model that uses the full information on the attributes of agents and only aggregate measures of agents’ choices in an application to the estimation of the costs of the adoption of conservation tillage by Iowa farmers. The methodology treats the aggregated data as an expected value—the group average of individual probabilities of choosing conservation tillage subject to measurement error.

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