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
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)
References: Add references at CitEc
Citations: Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mlb:wpaper:560
Access Statistics for this paper
More papers in Department of Economics - Working Papers Series from The University of Melbourne Department of Economics, The University of Melbourne, 4th Floor, FBE Building, Level 4, 111 Barry Street. Victoria, 3010, Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Dandapani Lokanathan ().