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

Lisa Cameron ()

No 560, Department of Economics - Working Papers Series from The University of Melbourne

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.

Keywords: ECONOMIC MODELS; STATISTICAL DATA; TECHNOLOGY; AGRICULTURE (search for similar items in EconPapers)
JEL-codes: C23 O30 Q12 (search for similar items in EconPapers)
Date: 1997
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