Welfare impacts of maize–pigeonpea intensification in Tanzania

This article examines the driving forces behind farmers’ decisions to adopt improved pigeonpea and maize and estimates the causal impact of technology adoption on household welfare using data obtained from a random cross‐section sample of 613 small‐scale farmers in Tanzania. We use seemingly unrelated and recursive bivariate probit regressions to test the endogeneity and joint decision making of pigeonpea–maize production. A double hurdle model is used to analyze the determinants of the intensity of technology adoption conditional on overcoming seed access constraints. To address the impact of adoption on welfare, the article employs both propensity score matching and switching regression techniques. Results from bivariate probit models show that unobservable factors cause both decisions to be correlated but the finding does not support the conjecture that both decisions are made jointly. Overall the analysis of the determinants of adoption identifies inadequate local supply of seed, access to information, human capital, and access to private productive asset as key constraints for pigeonpea technology adoption. The causal impact estimation from both the propensity score matching and switching regression suggests that maize/pigeonpea adoption has a positive and significant impact on income and consumption expenditure among sample households.     

Premarital Birth Among Young Hispanic Women: Evidence from Semiparametric Competing Risks Analysis

The existing literature on welfare effects on marriage and fertility has largely focused on groups of white and black women. By contrast, Hispanic women have received little attention. This paper examines the effects of welfare generosity on a sample of young Hispanic women’s premarital fertility and marriage choices. A bivariate competing risks duration model framework allows us to identify the process of young women’s premarital fertility and the process of marriage, effectively controlling for observed characteristics and unobservables. Our findings indicate a 10% increase in welfare generosity results in a 10% increase in premarital births and a 7% decrease in marriages by age 24; both effects are significant.

A bivariate zero-inflated count data regression model with unrestricted correlation

This paper proposes a computationally simple bivariate zero-inflated count data regression model with an unrestricted correlation pattern. An application to data with excess of zeros on the demand for health services is given.     

Watershed externalities, shifting cropping patterns and groundwater depletion in Indian semi-arid villages: The effect of alternative water pricing policies

Frequent droughts and groundwater depletion are critical constraints to improving agricultural productivity in the semi-arid tropics. India has been promoting integrated watershed management in drought-prone areas to address these constraints. Watershed communities are being assisted to invest in groundwater re-charging facilities. While communities and the public bear such costs, individual farmers capture irrigation benefits. Groundwater is a free common property resource and land users hold de-facto use rights. This has accelerated private irrigation investments and depletion of aquifers resulting in iniquitous distribution of irrigation water. Power subsidies and negligible pumping costs aggravate the problem. These policy failures and low irrigation costs to farmers are displacing water-efficient crops in favor of water-intensive crops in water-scare areas. The paper reviews the village-level externalities that aggravate groundwater depletion and evaluates potential policy options to enhance local collective action in water management. Using 3SLS, an econometric crop-water productivity model is used to evaluate alternative water policy instruments. The results indicate that different types of water user charges can be introduced with modest consequences on profitability and farm incomes. If properly implemented and managed by the local communities, pro-poor policies could bring considerable sustainability benefits and also ensure enhanced equity in access to the resource.     

Food choices in Ethiopia: does nutritional information matter?

This article reports results from a framed market experiment conducted to examine whether milk choices are responsive to changes in the nutritional characteristics of milk products. Using a random‐effect Tobit model, we analyzed experimental data collected from 160 participants in urban Ethiopia. It shows that sensory properties play a key role in the acceptance of reduced‐fat milk while the provision of nutrition information has a mixed effect on a price premium. Further, a substantial percentage of participants were found to have a strong preference for whole milk while only 19% of them prefer reduced‐fat milk with 2.8% price premium. The study unveils a heterogeneous preference for the nutritional quality of milk products. Consumers’ health problems and socio‐demographic characteristics influence their preference for the nutritional quality of milk products. The result also shows a nutrition‐taste tradeoff, yet consumers place more value on sensory experience. Contrary to earlier studies, we found that prior belief about milk quality influences how consumers value sensory experience and nutrition information.     

Nonfarm employment,agricultural intensification,and productivity change: empirical findings from Uganda

This article uses panel data from the Living Standards Measurement Study‐Integrated Surveys on Agriculture for Uganda to assess the farm‐level effects of nonfarm employment on agricultural intensification and productivity change. A sample selection model is used to account for both unobserved heterogeneity and potential simultaneity between agricultural production and nonfarm income. Results show that nonfarm employment can have differential impacts on farm technology intensity and productivity. Nonfarm income is found to have a positive impact on farm hired labor and improved seed intensity; a negative effect on on‐farm family labor use; and no significant impact on fertilizer, soil water management, and joint use of farm technologies. The econometric evidence also indicates that agricultural productivity declines as nonfarm income increases. Taken together, our findings reveal important trade‐offs between nonfarm employment and income and farm productivity growth under smallholder agriculture. The results indicated that targeted policies are required to reduce these potential trade‐offs between nonfarm employment and agricultural intensification and productivity change.     

A discrete‐time hazard analysis of the exit of burley tobacco growers in Tennessee,North Carolina,and Virginia

This article examines the exit and survival dynamics of burley tobacco growers in Tennessee, North Carolina, and Virginia using a discrete‐time hazard logit model. The study also predicts the effects of selected farm and family characteristics on exit hazards, assesses the proportionality of their effects over time and their relative importance in explaining the variation in exit hazards among burley tobacco growers. Results provide the longitudinal progression of the probability of exiting the tobacco industry since the end of the federal tobacco program in 2004, and identify off‐farm participation, percentage of farm receipts from tobacco, tobacco price, educational level, and farm size as the most important determinants of the decision to exit the tobacco industry. Further, the effects of off‐farm participation and farm size on the exit hazards of burley tobacco farms are proportional over time while the effects of the percentage of farm receipts from tobacco and tobacco price are time variant.     

Tattoos,Employment, and Labor Market Earnings: Is There a Link in the Ink?

The popularity of tattooing has increased substantially in recent years, particularly among adolescents and young adults. Moreover, tattooed images are permanent unless the individual opts for expensive, time consuming, and painful removal procedures. Given the increasing popularity of tattooing, and the permanent nature of this action, it is of interest to know whether tattooed workers are more or less likely to be employed and, conditional on employment, if they receive wages that are different from the wages of their non‐tattooed peers. To investigate these questions, we analyze two large data sets—from the United States and Australia—with measures of tattoo status, employment, earnings, and other pertinent variables. Regardless of country, gender, specific measures, or estimation technique, the results consistently show that having a tattoo is negatively and significantly related to employment and earnings in bivariate analyses, but the estimates become smaller and nonsignificant after controlling for human capital, occupation, behavioral choices, lifestyle factors, and other individual characteristics related to labor market outcomes. Various robustness checks confirm the stability of the core findings. These results suggest that, once differences in personal characteristics are taken into account, tattooed and non‐tattooed workers are treated similarly in the labor market. We offer suggestions for improving future surveys to enable a better understanding of the relationships between tattooed workers and their labor market outcomes.     

Mother’s Gender Preferences and Child Schooling in Ethiopia

This paper empirically investigates whether the quantity deficit in the children of the mother’s preferred gender is compensated through their favorable treatment in terms of investment in schooling (what we call a compensating hypothesis) in an environment where schooling opportunities are limited. We use data from siblings in two rounds of the demographic and health surveys of Ethiopia for empirical analysis. Using the gender ratio of the mother’s own siblings and the birth of same sex twins as instruments for gender ratio gap, we estimate binary choice models with clustering for school attendance using generalized instrumental variable techniques with interactive instruments. Our empirical evidence appears to be consistent with the compensating hypothesis that the larger the excess of actual proportion of girls over the mother’s desired proportion, the smaller a girl’s chance of attending school and the bigger a boy’s chance of attending school will be.     

Ex post impacts of improved maize varieties on poverty in rural Ethiopia

Public agricultural research has been conducted in Africa for decades. While many studies have examined its aggregate impacts, few have investigated how it affects the poor. This paper helps fill this gap by applying a new procedure to explore the ex post impacts of improved maize varieties on poverty in rural Ethiopia. Plot‐level yield and cost changes due to adoption are first estimated using instrumental variable and marginal treatment effect techniques where possible heterogeneity is carefully accounted for. A backward derivation procedure is then developed to link treatment effect estimates with an economic surplus model to identify the counterfactual household income that would have existed without improved maize varieties. Poverty impacts are finally estimated by exploiting the differences between observed and counterfactual income distributions. Improved maize varieties have led to a 0.8–1.3 percentage drop of poverty headcount ratio and relative reductions of poverty depth and severity. However, poor producers benefit the least from adoption due to the smallness of their land holdings.