Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.     

Factors Influencing Young Consumers’ Acceptance of Genetically Modified Food in India

We analyzed the determinants of acceptance of genetically modified food (GMF) by using the probit model. In this study, we found that around 41% of the students are willing to buy GMF, and acceptance of GMF is less in female respondents than male respondents. The findings indicate that in India, benefit perception of GMF outweighed the risk perception. We also found that respondents’ trust in international organizations for truthful information has a positive and significant influence on acceptance of GMF.     

Agriculture–nutrition linkages with heterogeneous,unobserved returns and costs: Insights from Tajikistan

Agriculture–nutrition linkages (ANLs) have been increasingly investigated in the literature. However, nutritional returns and costs of household agricultural production practices (APPs) in semisubsistence settings are poorly understood. We fill these knowledge gaps using pooled cross-section data sets in Tajikistan, where semisubsistence farming and undernutrition coexist despite relatively good agricultural infrastructure and education systems. Agricultural diversification, yield enhancement, production expansion are positively associated with various nutritional outcomes, particularly in areas with poor food market access. Decomposition exercises suggest that nutritional returns and costs of these APPs vary across households, and the adoption of APPs is driven by the expected nutritional returns. In Tajikistan, improving nutrition through household ANLs requires growing the smallholder agricultural sector in multiple dimensions, including diversification, intensification, and expansion, while also understanding better the pathways of ANLs and addressing bottlenecks at appropriate stages of such pathways.     

Forecasting the Adoption of GM Oilseed Rape: Evidence from a Discrete Choice Experiment in Germany

This paper explores farmers’ willingness to adopt genetically modified (GM) oilseed rape prior to its commercial release and estimates the ‘demand’ for the new technology. The analysis is based upon choice experiments with 202 German arable farmers. A multinomial probit estimation reveals that GM attributes such as gross margin, expected liability from cross pollination, or flexibility in returning to conventional oilseed rape significantly affect the likelihood of adoption. Neighbouring farmers’ attitudes towards GM cropping and a number of farmer and farm characteristics were also found to be significant determinants of prospective adoption. Demand simulations suggest that adoption rates are very sensitive to the profit difference between GM and non‐GM rape varieties. A monopolistic seed price would substantially reduce demand for the new technology. A monopolistic seed supplier would reap between 45% and 80% of the GM rent, and the deadweight loss of the monopoly would range between 15% and 30% of that rent. The remaining rent for farmers may be too small to outweigh possible producer price discounts resulting from the costs of segregating GM and non‐GM oilseed rape along the supply chain.     

Seasonal Adjustment in a Market for Female Agricultural Workers

This article explores seasonal adjustment in the market for temporary agricultural labor. We estimate a model of participation allowing for unobserved heterogeneity and endogeneity/selection bias using daily observations from Chilean panel data, and a model of daily earnings. Results indicate that seasonal wage variation is an important aspect of labor-market adjustment, contributing to a large change in labor force participation. The labor force participation rate of women is significantly more elastic to changes in the expected wage than is that for men. Nonetheless, we find evidence of substantial open unemployment during the slack season, especially for females, probably due to frictional and efficiency wage effects.     

What hinders innovation performance of services and manufacturing firms in Mexico?

Barriers to innovation are heterogeneous, of financial and non-financial nature. The importance of barriers to innovation and their actual influence on innovation depend on firms’ characteristics such as sectoral affiliation, technological behavior and their response to perceived obstacles to innovation. Firms either continue to engage in innovation, or they avoid the activity altogether. This paper explored the nature and perceived importance of the obstacles to innovation that firms confront, in a developing-country context; we build on survey data about firms in Mexico. Our findings suggest that two kinds of policy interventions should help offset a firm’s perception of barriers to innovation. On the one hand, policies should enhance the innovation capacity of firms interested in innovation; on the other hand, policies need to tackle factors that reduce the interest of firms in innovation. Policies that boost demand for locally generated innovations would assist in achieving both these goals.