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Learning and the Adoption of High Yielding Variety Seeds : Panel Data Versus Cross-Sectional Data

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  • Cameron, L

Abstract

To date, due to the lack of panel data, most micro-level empirical studies of technology adoption have used cross-sectional data. These studies cannot examine the dynamic processes of adoption such as learning. This paper uses panel data to study the adoption of a new high-yielding variety seed. First, it establishes that learning is an important variable in the adoption process. Second, it establishes that cross-sectional estimates of a dynamic process are potentially biased. The extent of the bias is examined by comparing cross-sectional estimates with those form the panel. Third, it illystrates the econometric methods needed to estimate a dynamic model when controlling for unobserved household heterogeneity.

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Bibliographic Info

Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 560.

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Length: 29 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:mlb:wpaper:560

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Web page: http://www.economics.unimelb.edu.au
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Keywords: ECONOMIC MODELS; STATISTICAL DATA; TECHNOLOGY; AGRICULTURE;

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