<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
<channel>
<title>J-PAL Datasets</title>
<link>https://hdl.handle.net/1721.1/39119</link>
<description/>
<pubDate>Sun, 05 Apr 2026 08:08:17 GMT</pubDate>
<dc:date>2026-04-05T08:08:17Z</dc:date>
<image>
<title>J-PAL Datasets</title>
<url>http://dspace.mit.edu:80/bitstream/id/46dcfa57-53e5-4eca-9a33-d160d2ce0351/</url>
<link>https://hdl.handle.net/1721.1/39119</link>
</image>
<item>
<title>Women as Policy Makers: Evidence from a Randomized Policy Experiment in India</title>
<link>https://hdl.handle.net/1721.1/39126</link>
<description>Women as Policy Makers: Evidence from a Randomized Policy Experiment in India
Raghabednra Chattopadhyay; Esther Duflo
This data set uses political reservations for women in India to study the impact of women's leadership on policy decisions. Using a dataset we collected on 265 village councils in West Bengal and Rajasthan, we compare the type of public goods provided in reserved and unreserved village?s councils. Data sets based upon information provided by GP Pradhans, local villagers, and the 1991 Indian Census
</description>
<pubDate>Fri, 05 Oct 2007 05:20:05 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/1721.1/39126</guid>
<dc:date>2007-10-05T05:20:05Z</dc:date>
</item>
<item>
<title>Udaipur Health Study</title>
<link>https://hdl.handle.net/1721.1/39125</link>
<description>Udaipur Health Study
Abhijit Banerjee; Angus Deaton; Esther Duflo
This data set contains data on the health histories of, and access to healthcare facilities for, individuals located in the Udaipur districts of Rajasthan, India. Data was collected at the household level, as well as at the individual level, separately for adults and children. Also, private and public healthcare facilities located in the area were also surveyed.
</description>
<pubDate>Fri, 05 Oct 2007 05:16:46 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/1721.1/39125</guid>
<dc:date>2007-10-05T05:16:46Z</dc:date>
</item>
<item>
<title>Monitoring Works: Getting Teachers to Come to School</title>
<link>https://hdl.handle.net/1721.1/39124</link>
<description>Monitoring Works: Getting Teachers to Come to School
Esther Duflo; Rema Hanna
This data was collected from a randomized experiment run by Seva Mandir and J-PAL in the tribal villages of Udaipur, India. An incentives program was implemented to reduce high teacher absence in non-formal primary education centers (NFEC's). In 60 randomly chosen centers (out of 120) teachers were given a camera with a tamper-proof date and time function, along with instructions to have one of the children photograph the teacher and other students at the beginning and end of the school day. The time and date stamp on the photographs were used to track teacher attendance. A teacher's salary was a direct function of his attendance. The remaining 60 schools served as comparison schools. Monitors were sent on a random day each month to check if the schools were open and the teacher teaching. These monitors collected roster and attendance information for the students as well (if the school was open). Three basic competency exams were given to children enrolled in the NFEC's in August 2003. These included an August 2003 pretest, a mid test in April 2004 and a post test in Sept 2004.
</description>
<pubDate>Fri, 05 Oct 2007 05:02:20 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/1721.1/39124</guid>
<dc:date>2007-10-05T05:02:20Z</dc:date>
</item>
<item>
<title>Balsakhi</title>
<link>https://hdl.handle.net/1721.1/39123</link>
<description>Balsakhi
Abhijit Banerjee; Shawn Cole; Esther Duflo; Leigh Linden
The purpose of the data collection was to evaluate two programs implemented by Pratham, an Indian NGO. The first program, remedial education, was implemented from 2001-2003 in Vadodara and Mumbai. The second program, a computer-aided learning program, was implemented in Vadodara only from 2001-2004. Data included in this study are results from pre-, mid- and post-tests of language and math skills. The tests were designed and conducted by Pratham, in public schools in the two cities. The goal of the study was to measure the impact of programs on child educational achievement, as measured by test scores. Data on attendance was also collected, from both the attendance rosters, and by random checks from Pratham investigators. Within a dataset, a child is uniquely identified by studentid. Schoolid is a numeric variable indicating which school the child attends; standard indicates which grade the child in. Div is a classroom id within a standard. Divid is a unique identifier for each grade in a school. Test scores are reported in terms of normalized standard deviations: the mean test score of the control group in the pretest was subtracted from all schools, and all test scores were divided by the standard deviation of the control group.
</description>
<pubDate>Fri, 05 Oct 2007 04:58:20 GMT</pubDate>
<guid isPermaLink="false">https://hdl.handle.net/1721.1/39123</guid>
<dc:date>2007-10-05T04:58:20Z</dc:date>
</item>
</channel>
</rss>
