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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.

Suggested Citation

  • Cameron, L, 1997. "Learning and the Adoption of High Yielding Variety Seeds : Panel Data Versus Cross-Sectional Data," Department of Economics - Working Papers Series 560, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:560
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    More about this item

    Keywords

    ECONOMIC MODELS; STATISTICAL DATA; TECHNOLOGY; AGRICULTURE;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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