NBER Publications by Leigh Linden
Working Papers and Chapters
| June 2009 | Measuring Discrimination in Education
with Rema Hanna: w15057
In this paper, we illustrate a methodology to measure discrimination in educational contexts. In India, we ran an exam competition through which children compete for a large financial prize. We recruited teachers to grade the exams. We then randomly assigned child "characteristics" (age, gender, and caste) to the cover sheets of the exams to ensure that there is no systematic relationship between the characteristics observed by the teachers and the quality of the exams. We find that teachers give exams that are assigned to be lower caste scores that are about 0.03 to 0.09 standard deviations lower than exams that are assigned to be high caste. The effect is small relative to the real differences in scores between the high and lower caste children. Low-performing, low caste children an... |
| March 2008 | Conditional Cash Transfers in Education Design Features, Peer and Sibling Effects Evidence from a Randomized Experiment in Colombia
with Felipe Barrera-Osorio, Marianne Bertrand, Francisco Perez-Calle: w13890
We evaluate multiple variants of a commonly used intervention to boost education in developing countries -- the conditional cash transfer (CCT) -- with a student level randomization that allows us to generate intra-family and peer-network variation. We test three treatments: a basic CCT treatment based on school attendance, a savings treatment that postpones a bulk of the cash transfer due to good attendance to just before children have to reenroll, and a tertiary treatment where some of the transfers are conditional on students' graduation and tertiary enrollment rather than attendance. On average, the combined incentives increase attendance, pass rates, enrollment, graduation rates, and matriculation to tertiary institutions. Changing the timing of the payments does not change attendance... |
| May 2006 | There Goes the Neighborhood? Estimates of the Impact of Crime Risk on Property Values From Megan's Laws
with Jonah E. Rockoff: w12253
We combine data from the housing market with data from the North Carolina Sex Offender Registry to estimate how individuals value living in close proximity to a convicted criminal. We use the exact location of sex offenders to exploit variation in the threat of crime within small homogenous groupings of homes, and we use the timing of sex offenders' arrivals to control for baseline property values in the area. We find statistically and economically significant negative effects of sex offenders' locations that are extremely localized. Houses within a one-tenth mile area around the home of a sex offender fall by 4 percent on average (about $5,500). We also find evidence that the effect varies with distance within this range -- houses next to an offender sell for about 12 percent less while t... |
| December 2005 | Remedying Education: Evidence from Two Randomized Experiments in India
with Abhijit Banerjee, Shawn Cole, Esther Duflo: w11904
Many efforts to improve school quality by adding school resources have proven to be ineffective. This paper presents the results of two experiments conducted in Mumbai and Vadodara, India, designed to evaluate ways to improve the quality of education in urban slums. A remedial education program hired young women from the community to teach basic literacy and numeracy skills to children lagging behind in government schools. We find the program to be very effective: it increased average test scores of all children in treatment schools by 0.14 standard deviations in the first year, and 0.28 in the second year, relative to comparison schools. A computer-assisted learning program provided each child in the fourth grade with two hours of shared computer time per week, in which students played ed... |
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