Publications
Sanjaya DeSilva
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Working Paper No. 756 | February 2013
Does the Gender of the Migrant Matter?
Utilizing a nationally representative sample of households from Sri Lanka, this study examines gender differences in the long-term impact of temporary labor migration. We use a propensity score matching (PSM) framework to compare households with return migrants, households with current migrants, and equivalent nonmigrant households in terms of a variety of outcomes. Our results show that households that send women abroad are relatively poor and utilize migration to catch up with the average household, whereas sending a man abroad allows an already advantaged household to further strengthen their economic position. We also find that remittances from females emphasize investment in home improvements and acquisition of farm land and nonfarm assets, whereas remittances of men are channeled more toward housing assets and business ventures.
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Working Paper No. 701 | December 2011
Using data from the Bicol region of the Philippines, we examine why women are more educated than men in a rural, agricultural economy in which women are significantly less likely than men to participate in the labor market. We hypothesize that educational homogamy in the marriage market and cross-productivity effects in the household allow Filipino women to reap substantial benefits from schooling regardless of whether they enter the labor market. Our estimates reveal that the return to schooling for women is approximately 20 percent in both labor and marriage markets. In comparison, men experience a 12 percent return to schooling in the labor market. By using birth order, sibship size, percent of male siblings, and parental education as instruments, we correct for a significant downward bias that is caused by the endogeneity of schooling attainment.
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Working Paper No. 687 | September 2011
A Study of Rice Farms in the Bicol Region, Philippines
This paper presents an empirical investigation of the relationship between the spread, spatially and temporally, of market institutions and improvements in the productivity and efficiency of farmers. The data used in this study were collected over two decades in a sample of rice farms in the Bicol Region of the Philippines. Our estimates reveal a significant inverse relationship between distance from the market and farm productivity and efficiency in 1983. While there are substantial improvements in yields, unit costs, and efficiency in the two decades that followed, the gains are larger in the more remote and sparsely populated villages. This finding suggests that the relationship between remoteness and farm outcomes has weakened over time. We also find that the development of markets in the peripheral villages and the improved connectivity between the peripheral villages and market centers are facilitated by population growth, infrastructural investments (specifically, irrigation and roads), and the availability of agricultural extension programs.
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Working Paper No. 599 | May 2010
A Spatial Econometric Analysis of Microneighborhoods in Kingston, New York
This paper use spatial econometric models to test for racial preferences in a small urban housing market. Identifying racial preferences is difficult when unobserved neighborhood amenities vary systematically with racial composition. We adopt three strategies to redress this problem: (1) we focus on housing price differences across microneighborhoods in the small and relatively homogenous city of Kingston, New York; (2) we introduce GIS-based spatial amenity variables as controls in the hedonic regressions; and (3) we use spatial error and lag models to explicitly account for the spatial dependence of unobserved neighborhood amenities. Our simple OLS estimates agree with the consensus in the literature that black neighborhoods have lower housing prices. However, racial price discounts are no longer significant when we account for the spatial dependence of errors. Our results suggest that price discounts in black neighborhoods are caused not by racial preferences but by the demand for amenities that are typically not found in black neighborhoods.Download:Associated Program:Author(s):Related Topic(s): -
Working Paper No. 565 | May 2009
A Decomposition Analysis of Racial and Ethnic Disparities in Homeownership
In recent years, as the homeownership rate in the United States reached its highest level in history, homeownership itself remained unevenly distributed, particularly along racial and ethnic lines. By using data from the 2000 Integrated Public Use Microdata Series (IPUMS) and 2006 American Community Survey (ACS) to study the trajectory into homeownership of black, Asian, white, and Latino households, this paper explores the various socioeconomic and demographic characteristics, as well as the distinct immigration experiences and spatial patterns that shape racial and ethnic inequality in homeownership. The unique (merged) dataset enables the authors to distinguish assimilation (length of residence) from immigration cohort effects, and to control for various spatial characteristics at the PUMA (Public Use Microdata Area) level. The paper employs a decomposition technique that delineates the distinct effects that composition differentials have on the visible white-minority disparity in homeownership. The findings reveal substantial differences along racial-ethnic lines, highlight the importance of immigration and spatial context in determining Asian and Mexican homeownership rates, and emphasize the unique role that family structure and unobserved factors (e.g. prejudice and discrimination) continue to play in shaping the black-white homeownership gap.
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