Short Term Investment in Agriculture: Is there a Gender Bias?

Most developing countries strive to improve agricultural productivity by relaxing credit constraints, supplying better inputs, improving marketing and distribution. However the efficacy of these reforms needs to be examined in the context of the behavioral responses of farming households. This study examines gender biases within households that affect short-term investments in agriculture. The study utilizes data from ICRISATs village level studies in India (1975-85) to highlight the effects of child gender on the use of agricultural inputs. The main finding is that households with boys tend to use purchased inputs such as fertilizers and insecticides more intensively compared with households with girls. In general, household with boys also tend to have larger land holdings, and use animal and human labor to a greater extent than household with girls.Agricultural and Food Policy,

Rejection from the Disability Insurance Program and Dependency on Social Support

Working Paper: WP 2014-305Recent studies find that many workers do not return to the labor force after their applications for Disability Insurance (DI) are denied. It is, therefore, important to understand how this group funds their consumption. This paper uses the Survey of Income and Program Participation linked to administrative data to examine the social support participation behavior of rejected applicants. By following cohorts of individuals from 10 years before to 10 years after filing for DI, this paper shows that rejected DI applicants are at most 10 percent more likely to depend on social support programs than healthy workers. More general models show that at the time of application rejected applicants are 25 percent more likely to depend on social support programs than healthy workers. These effects decrease across time, but up to 10 years after filing, rejected DI applicants are still up to 12 percent more likely to depend on social support programs. These are the same levels of social support participation exhibited by DI beneficiaries. While rejecting more DI applicants may reduce DI outlays, these results suggest that rejected applicants are more likely to depend on other federally funded assistance programs to fund their (very) early retirement.Social Security Administrationhttp://deepblue.lib.umich.edu/bitstream/2027.42/109076/1/wp305.pdfDescription of wp305.pdf : Working pape

Spousal Labor Supply Responses to Government Programs: Evidence from the Disability Insurance Program

MRRC Working Paper: WP 2010-261Disability is a permanent unexpected shock to labor supply which according to the theory of the added worker effect should induce a large spousal labor supply response. The Disability Insurance (DI) program is designed to mitigate the income lost due to disability. To the extent that it does this, it can crowd out the spousal labor supply response predicted by the added worker effect theory. Using a unique data that matches administrative data combining worker’s earnings histories and disability insurance applications, this study finds that DI crowds out spousal labor force participation by 6 percent and the displacement spans multiple years. The estimated crowd-out effects are also larger for younger wife cohorts and cohorts with particular types of impairments such as musculoskeletal disease.Social Security Administrationhttp://deepblue.lib.umich.edu/bitstream/2027.42/91297/1/wp261.pd

EFFECTS AND DETERMINANTS OF MILD UNDERWEIGHT AMONG PRESCHOOL CHILDREN ACROSS COUNTRIES AND OVER TIME

Research on malnutrition typically focuses on severe cases, where anthropometric status falls below or above an extreme threshold. Such categorization is necessary for clinicians since mild cases may not justify intervention, but researchers could find that changes in mild malnutrition convey valuable information about mortality risk and health status. This paper focuses on changes in both mild and severe underweight in young children, as measured by 130 DHS surveys for 53 countries over a period from 1986 to 2007. We find that counting variance in all forms of underweight provides closer correlations with aggregate health outcomes (the underfive child mortality rate), and is more closely correlated to several influences of malnutrition (national income, gender equality and agricultural output). We conclude that the full distribution of nutritional status deserves greater attention, including in this case the prevalence of mild underweight among preschool children in developing countries.Underweight, weight-for-height, wasting, child mortality, FGT measures, DHS data

SPATIAL ACCESSIBILITY OF HEALTH CARE IN INDIANA

Healthy populations and access to health care services are significant factors influencing economic development and prosperity. Since geographic access is an essential feature of an overall health system, it is important for health service researchers to develop accurate measures of physical access to health. In this paper we develop a series of gravity-based health care accessibility measures for all the counties in Indiana. The measures go beyond local availability of health care services within a county and account for travel impedance via distance-discounted health care services accessible throughout the state. When applied to Indiana counties, the results show sharp disparities in health care accessibility with extensive pockets of poor accessibility in rural and peripheral areas. The research concludes with a demonstration of how spatial accessibility measures can be beneficially used to evaluate of policies indicative of changes in the provision of health services.spatial accessibility, health care, geographic information systems (GIS),

AGE DIFFERENCES AND MACROECONOMIC EFFECTS ON FOOD STAMP PROGRAM PARTICIPATION

Low income populations are more severely affected by economic downturns than their high income counterparts because they are at high risk of unemployment and face reduced earnings in recessions. The use of food stamp benefits and other types of welfare are one mechanism that families can use to buffer the economic shock brought about by income losses due to unemployment during a recession. As a result, during unfavorable economic conditions, low income households disproportionately rely on public assistance including food stamps. What is less understood are the differential effects of macroeconomic conditions on the participation propensities of different population subgroups. Of particular importance are differential effects by age. Depending on their age, poor workers are likely to experience different patterns of unemployment so that their welfare participation patterns also differ. For example, once older workers lose their jobs, their probability of re-employment is lower than that of their younger counterparts. The reduced expectations of re-employment coupled with fewer opportunities to invest in re-training are discouraging to older unemployed persons, often implying that job losses for older workers are permanent, and eventually lead to long term reliance on welfare programs. In contrast, younger poor workers have comparatively higher chances of re-employment and exit from welfare. Whether the age differences in welfare participation will remain unchanged during economic recessions as well is still unanswered. Understanding variations in FSP participation propensities across age groups and their dependency on macroeconomic conditions is essential to predict future demand for food stamp benefits and, by extension, other welfare programs. The continuing growth in FSP demand may point to unexpectedly large fiscal burdens for future taxpayers. Moreover, understanding differential effects of macroeconomic conditions on participation propensities for different groups will allow policy makers to better identify and eventually reach genuine needy families. Therefore, this study aims to investigate FSP participation patterns with a special emphasis on the differential impact of macroeconomic factors across several demographic groups with a particular focus on age cohort effects. Specifically, transitions into and out of FSP will be explicitly addressed using longitudinal data from the Survey of Income and Program Participation (SIPP) 2004 panel. To measure the impact of economic conditions, we match SIPP data with economic measures such as the unemployment rate and wages at the state level available from the Bureau of Labor Statistics. Using the data, monthly movements on and off of FSP of individuals is followed and categorized into entry sample and continuation sample. A household not participating in FSP in one month, and thus being part of the entry sample, can choose between entering or not entering FSP in the subsequent month. Similarly, a household enrolled in one month (and thus part of the continuation sample) can choose between either continuing to stay on FSP or exiting FSP in the next month. This gives rise to two types of transition models. The first model, referred to as the entry model, tackles the decision between entry versus non-entry into FSP, conditional on non-participation in the previous months. The second model, referred to as continuation model, addresses the decision between exiting from versus continuing FSP, conditional upon participation in the preceding month. Two transition models are estimated using probit technique while controlling for individual specific effects. This study finds several important results. First, there are significant age differences in entry into and exit from the FSP. The propensity of entry into the FSP among younger people is higher than among older people while young cohorts are more prone to exiting FSP than the oldest cohort of retired or retirement-bound people. The implication for the elderly is that once receiving FSP benefits, they are very likely to continue the FSP. Their observed low FSP participation rates can thus primarily be attributed to FSP entry barriers. Second, rising unemployment boosts FSP entry propensities and lengthens FSP spells. Changes in wage levels, however, affect neither entry nor exit propensities. Third, the effect of unemployment on FSP continuation propensities varies by age. The youngest cohort responds to increasing unemployment by drastically prolonging their FSP spells whereas the older extend their FSP spells more gradually. For the oldest cohort, FSP exit probabilities are even found to rise in association with rising unemployment, a phenomenon that can be explained by retirement and special transfer programs for the elderly.Food Stamp Program, Age, Macroeconomy, Transition, Agricultural and Food Policy, Food Consumption/Nutrition/Food Safety, I38, J64,

Obesity in Urban Food Markets: Evidence from Geo-referenced Micro Data

This paper provides quantitative estimates of the effect of proximity to fast food restaurants and grocery stores on obesity in urban food markets. Our empirical model combined georeferenced micro data on access to fast food restaurants and grocery stores with data about salient personal characteristics, individual behaviors, and neighborhood characteristics. We defined a "local food environment" for every individual utilizing 0.5-mile buffers around a person's home address. Local food landscapes are potentially endogenous due to spatial sorting of the population and food outlets, and the body mass index (BMI) values for individuals living close to each other are likely to be spatially correlated because of observed and unobserved individual and neighborhood effects. The potential biases associated with endogeneity and spatial correlation were handled using spatial econometric estimation techniques. Our policy simulations for Indianapolis, Indiana, focused on the importance of reducing the density of fast food restaurants or increasing access to grocery stores. We accounted for spatial heterogeneity in both the policy instruments and individual neighborhoods, and consistently found small but statistically significant effects for the hypothesized relationships between individual BMI values and the densities of fast food restaurants and grocery stores.obesity, fast food, grocery store, spatial econometrics, micro data, Agricultural and Food Policy, Community/Rural/Urban Development, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, Health Economics and Policy, Public Economics, Research Methods/ Statistical Methods, C31, D12, I12, I18,

Informal Workers and Collective Action: A Global Perspective

[Excerpt] Around the world, in countries as far flung as Cambodia and Brazil and in industries as diverse as transportation and hospitality, workers in informal employment, who labor every day with no legal or social protection, are organizing and negotiating for better conditions. Some of them are self-employed; others work for wages in either formal or informal enterprises. Some used to have jobs in the formal sector with a union contract; others have always worked informally. To achieve their goals they are mounting collective action campaigns that draw on the repertoire of past generations of workers, but they often recombine them or innovate to fit their unique contexts. Informal workers, their organizations and their campaigns, represent the leading edge of the most significant change in the global labor movement in more than a century. This book tells the story of nine such campaigns