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The Effect of Pollution on Labor Supply: Evidence from a Natural Experiment in Mexico City
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Year: 2011 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Measuring Discrimination in Education
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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Learning Through Noticing Theory and Experimental Evidence in Farming
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Citywide Effects of High-Occupancy Vehicle Restrictions : Evidence from the Elimination of ‘3-in-1’ in Jakarta
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Year: 2017 Publisher: National Bureau of Economic Research

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Dishonesty and Selection into Public Service
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Year: 2013 Publisher: National Bureau of Economic Research

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Universal Basic Incomes vs. Targeted Transfers : Anti-Poverty Programs in Developing Countries
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Year: 2018 Publisher: National Bureau of Economic Research

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Measuring Discrimination in Education
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Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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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 and top-performing females tend to lose out the most due to discrimination. Interestingly, we find that the discrimination against low caste students is driven by low caste teachers, while teachers who belong to higher caste groups do not appear to discriminate at all. This result runs counter to the previous literature, which tends to find that individuals discriminate in favor of members of their own groups.


Digital
Environmental Regulations, Air and Water Pollution, and Infant Mortality in India
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Year: 2011 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Using the most comprehensive data file ever compiled on air pollution, water pollution, environmental regulations, and infant mortality from a developing country, the paper examines the effectiveness of India's environmental regulations. The air pollution regulations were effective at reducing ambient concentrations of particulate matter, sulfur dioxide, and nitrogen dioxide. The most successful air pollution regulation is associated with a modest and statistically insignificant decline in infant mortality. However, the water pollution regulations had no observable effect. Overall, these results contradict the conventional wisdom that environmental quality is a deterministic function of income and underscore the role of institutions and politics.


Digital
The Effect of Pollution on Labor Supply : Evidence from a Natural Experiment in Mexico City
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Year: 2011 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Moderate effects of pollution on health may exert an important influence on labor market decisions. We exploit exogenous variation in pollution due to the closure of a large refinery in Mexico City to understand how pollution impacts labor supply. The closure led to an 8 percent decline in pollution in the surrounding neighborhoods. We find that a one percent increase in sulfur dioxide results in a 0.61 percent decrease in the hours worked. The effects do not appear to be driven by labor demand shocks nor differential migration as a result of the closure in the areas located near the refinery.


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Deal with the Devil : The Successes and Limitations of Bureaucratic Reform in India
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Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Employing a technological solution to monitor the attendance of public-sector health care workers in India resulted in a 15 percent increase in the attendance of the medical staff. Health outcomes improved, with a 16 percent increase in the delivery of infants by a doctor and a 26 percent reduction in the likelihood of infants born under 2500 grams. However, women in treatment areas substituted away from the newly monitored health centers towards delivery in the (unmonitored) larger public hospitals and private hospitals. Several explanations may help explain this shift: better triage by the more present health care staff; increased patients' perception of absenteeism in the treatment health centers; and the ability of staff in treatment areas to gain additional rents by moving women to their private practices and by siphoning off the state-sponsored entitlements that women would normally receive at the health center at the time of delivery. Despite initiating the reform on their own, there was a low demand among all levels of government–state officials, local level bureaucrats, and locally-elected bodies—to use the better quality attendance data to enforce the government's human resource policies due to a fear of generating discord among the staff. These fears were not entirely unfounded: staff at the treatment health centers expressed greater dissatisfaction at their jobs and it was also harder to hire new nurses, lab technicians and pharmacists at the treatment health centers after the intervention. Thus, this illustrates the implicit deal that governments make on non-monetary dimensions—truancy, allowance of private practices—to retain staff at rural outposts in the face of limited budgets and staff shortages.

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