Publication: Model Selection in Stochastic Frontier Analysis with an Application to Maize Production in Kenya
No Thumbnail Available
Date
2009
ISSN
0895562X
Published
2009
Author(s)
Editor(s)
Abstract
This paper shows how to compute the standard errors for partial effects of exogenous firm characteristics influencing firm inefficiency under a range of popular stochastic frontier model specifications. We also develop an R[superscript 2]-type measure to summarize the overall explanatory power of the exogenous factors on firm inefficiency. The paper also applies a recently developed model selection procedure to choose among alternative stochastic frontier specifications using data from household maize production in Kenya. The magnitude of estimated partial effects of exogenous household characteristics on inefficiency turns out to be very sensitive to model specification, and the model selection procedure leads to an unambiguous choice of best model. We propose a bootstrapping procedure to evaluate the size and power of the model selection procedure. The empirical application also provides further evidence on how household characteristics influence technical inefficiency in maize production in developing countries.
Link to Data Set
Associated content
Other publications in this report series
Journal
Journal Volume
Journal Issue
Citations
Collections
Related items
Showing items related by metadata.
Publication The Effects of a Large Discrete Maize Price Increase on the Distribution of Household Welfare and Poverty in Rural Kenya(2011)This study estimates the effects of a large discrete maize price increase on the welfare of a sample of rural Kenyan households. The usual first-order welfare approximation formula is extended to a second-order formula that allows for supply and demand responses to the price change. Results show that many rural households are not affected greatly by the price change, and there are about as many gainers as losers. However, these full sample results mask important differences across regions. Welfare gains generally take place in major production areas while losses are in areas where most households are net buyers of maize. Semiparametric methods are used to investigate the relationship between income and the size of the welfare effect, and poverty dominance techniques are applied to study the impacts of the maize price increase on rural poverty.Publication How Might Shadow Price Restrictions Reduce Technical Efficiency? Evidence from a Restricted DEA Analysis of Coffee Farms in Vietnam(2011)We use data from smallholder coffee farms in Vietnam to measure the technical efficiency of coffee producers, and the degree to which potential restrictions on the shadow prices of chemical inputs might reduce overall efficiency among these farmers. Using input-oriented data envelopment analysis (DEA) we find the use of pesticide and herbicide accounts for a relatively small proportion of overall technical efficiency in the sample. We place restrictions on input shadow prices and show that restricting their importance does not dramatically alter patterns or measures of short-run efficiency.Publication Measuring Impacts and Adaptations to Climate Change: A Structural Ricardian Model of African Livestock Management(2008)This article develops a new cross-sectional methodology that explicitly incorporates adaptation into an analysis of the impacts of climate change. The methodology examines how a farmer will change choices of species and number to adapt to climate. The approach is applied to study Africa, where the impacts of climate change are expected to be the most severe. The results indicate that in warmer places, African farmers switch from beef cattle to more heat-tolerant goats and sheep. In wetter places, farmers switch from cattle and sheep to goats and chickens. The results indicate that large commercial livestock operations specializing in beef cattle will be hard hit from climate change whereas small farmers who can easily substitute to goats and/or sheep will be more resilient.Publication Inclusive Growth Analytics : Framework and Application(2009-03-01)This paper argues that inclusive growth analytics has a distinct character focusing on both the pace and pattern of growth. Traditionally, applied country-specific poverty and growth analyses have been done separately. This paper describes the conceptual elements for an analytical strategy aimed to integrate these two strands of analyses, and to identify and prioritize country-specific constraints to sustained and inclusive growth. The authors apply the framework to the case of Zambia. The analysis suggests that income growth in Zambia is constrained by poor access to domestic and international markets, inputs, extension services, and information. High indirect costs - mostly attributable to infrastructure service-related inputs in production including energy, transport, telecom, water, but also insurance, marketing, and professional services - undermine Zambia's competitiveness, limit job creation, and therefore serve as a major constraint to inclusive growth. Improving the quality and access to secondary and tertiary education is essential if the poor are to benefit from future growth of the non-farm economy. Weak governance and, in particular, poor government effectiveness are factors behind the market coordination failures and the identified government failures, and are as such major obstacles to inclusive growth in Zambia.Publication Biofuels, Poverty, and Growth: A Computable General Equilibrium Analysis of Mozambique(2010)This paper assesses the implications of large-scale investments in biofuels for growth and income distribution. We find that biofuels investment enhances growth and poverty reduction despite some displacement of food crops by biofuels. Overall, the biofuel investment trajectory analyzed increases Mozambique's annual economic growth by 0.6 percentage points and reduces the incidence of poverty by about 6 percentage points over a 12-year phase-in period. Benefits depend on production technology. An outgrower approach to producing biofuels is more pro-poor, due to the greater use of unskilled labor and accrual of land rents to smallholders, compared with the more capital-intensive plantation approach. Moreover, the benefits of outgrower schemes are enhanced if they result in technology spillovers to other crops. These results should not be taken as a green light for unrestrained biofuels development. Rather, they indicate that a carefully designed and managed biofuels policy holds the potential for substantial gains.
Users also downloaded
Showing related downloaded files
No results found.