The Abdul Latif Jameel Poverty Action Lab Dataverse

The Abdul Latif Jameel Poverty Action Lab (J-PAL) is a network of affiliated professors from over forty universities. Our mission is to reduce poverty by ensuring that policy is informed by scientific evidence. We do this through research, policy outreach, and training across six regional offices worldwide.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

61 to 70 of 135 Results

Replication Data for: Investing Cash Transfers to Raise Long-Term Living Standards Jul 9, 2018 Gertler, Paul J.; Martinez, Sebastian W.; Rubio-Codina, Marta, 2018, "Replication Data for: Investing Cash Transfers to Raise Long-Term Living Standards", https://doi.org/10.7910/DVN/VSTFIN, Harvard Dataverse, V1 Using data from a randomized experiment, we find that poor rural Mexican households invested part of their cash transfers from the Oportunidades program in productive assets, increasing agricultural income by almost 10 percent after 18 months of benefits. We estimate that for each peso transferred, households consume 74 cents and invest the rest, p...
Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools Jul 6, 2018 Rockoff, Jonah E.; Staiger, Douglas O.; Kane, Thomas J.; Taylor, Eric S., 2018, "Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools", https://doi.org/10.7910/DVN/1OFPOU, Harvard Dataverse, V1 We examine how employers learn about worker productivity in a randomized pilot experiment which provided objective estimates of teacher performance to school principals. We test several hypotheses that support a simple Bayesian learning model with imperfect information. First, the correlation between performance estimates and prior beliefs rises wi...
Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan Jul 6, 2018 Callen, Michael; Long, James D., 2018, "Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan", https://doi.org/10.7910/DVN/NMXC6F, Harvard Dataverse, V1 We investigate the relationship between political networks, weak institutions, and election fraud during the 2010 parliamentary election in Afghanistan combining: (i) data on political connections between candidates and election officials; (ii) a nationwide controlled evaluation of a novel monitoring technology; and (iii) direct measurements of agg...
Replication Data for: Giffen Behavior and Subsistence Consumption Jul 6, 2018 Jensen, Robert T.; Miller, Nolan H., 2018, "Replication Data for: Giffen Behavior and Subsistence Consumption", https://doi.org/10.7910/DVN/LGZMTI, Harvard Dataverse, V1 This paper provides the first real-world evidence of Giffen behavior, i.e., upward sloping demand. Subsidizing the prices of dietary staples for extremely poor households in two provinces of China, we find strong evidence of Giffen behavior for rice in Hunan, and weaker evidence for wheat in Gansu. The data provide new insight into the consumption...
Replication Data for: Experimental Evidence on the Long-Run Impact of Community-Based Monitoring Jul 4, 2018 Björkman Nyqvist, Martina; de Walque, Damien; Svensson, Jakob, 2018, "Replication Data for: Experimental Evidence on the Long-Run Impact of Community-Based Monitoring", https://doi.org/10.7910/DVN/SXEIIS, Harvard Dataverse, V1 We evaluate the longer run impact of a local accountability intervention in primary health care provision in Uganda. Short-run improvements in health care delivery and health outcomes remained in the longer run despite minimal follow-up. We find no impact on the quality of care or health outcomes of a lower cost intervention that focused on encoura...
The Catch-22 of External Validity in the Context of Constraints to Firm Growth Jul 3, 2018 Fischer, Greg; Karlan, Dean, 2018, "The Catch-22 of External Validity in the Context of Constraints to Firm Growth", https://doi.org/10.7910/DVN/MNW5LP, Harvard Dataverse, V1 We document the presence of multiple and varied constraints to small and medium firm growth. This presents both a practical problem for business training programs and a challenge to academic economists trying to identify mechanisms though which these programs may affect outcomes. External validity needs theory. This pushes researchers to narrowly d...
Replication Data for: Unintended Effects of Anonymous Résumés Jul 3, 2018 Behaghel, Luc; Crépon, Bruno; Le Barbanchon, Thomas, 2018, "Replication Data for: Unintended Effects of Anonymous Résumés", https://doi.org/10.7910/DVN/KDWAIH, Harvard Dataverse, V1 We evaluate an experimental program in which the French public employment service anonymized résumés for firms that were hiring. Firms were free to participate or not; participating firms were then randomly assigned to receive either anonymous résumés or name-bearing ones. We find that participating firms become less likely to interview and hire mi...
Replication Data for: Getting beneath the Veil of Effective Schools: Evidence from New York City Jun 29, 2018 Dobbie, Will; Fryer Jr., Roland G., 2018, "Replication Data for: Getting beneath the Veil of Effective Schools: Evidence from New York City", https://doi.org/10.7910/DVN/JGRLOU, Harvard Dataverse, V1 In this paper, we collect data on the inner-workings of 39 charter schools and correlate these data with school effectiveness. We find that traditionally collected input measures -- class size, per-pupil expenditure, teacher certification, and teacher training -- are not correlated with school effectiveness. In stark contrast, we show that an index...
The "Pupil" Factory: Specialization and the Production of Human Capital in Schools Jun 29, 2018 Fryer Jr., Roland G., 2018, "The "Pupil" Factory: Specialization and the Production of Human Capital in Schools", https://doi.org/10.7910/DVN/7J9EXE, Harvard Dataverse, V1 I conducted a randomized field experiment in traditional public elementary schools in Houston, Texas designed to test the potential productivity benefits of teacher specialization. The average impact of encouraging schools to specialize their teachers on student achievement is −0.11 standard deviations per year on a combined index of math and readi...
Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone Jun 29, 2018 Dobbie, Will; Fryer, Jr., Roland G., 2018, "Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone", https://doi.org/10.7910/DVN/B7YLTV, Harvard Dataverse, V1 Harlem Children's Zone (HCZ), an ambitious social experiment, combines community programs with charter schools. We provide the first empirical test of the causal impact of HCZ charters on educational outcomes. Both lottery and instrumental variable identification strategies suggest that the effects of attending an HCZ middle school are enough to cl...

Replication Data for: Investing Cash Transfers to Raise Long-Term Living Standards

Jul 9, 2018

Gertler, Paul J.; Martinez, Sebastian W.; Rubio-Codina, Marta, 2018, "Replication Data for: Investing Cash Transfers to Raise Long-Term Living Standards", https://doi.org/10.7910/DVN/VSTFIN, Harvard Dataverse, V1

Using data from a randomized experiment, we find that poor rural Mexican households invested part of their cash transfers from the Oportunidades program in productive assets, increasing agricultural income by almost 10 percent after 18 months of benefits. We estimate that for each peso transferred, households consume 74 cents and invest the rest, p...

Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools

Jul 6, 2018

Rockoff, Jonah E.; Staiger, Douglas O.; Kane, Thomas J.; Taylor, Eric S., 2018, "Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools", https://doi.org/10.7910/DVN/1OFPOU, Harvard Dataverse, V1

We examine how employers learn about worker productivity in a randomized pilot experiment which provided objective estimates of teacher performance to school principals. We test several hypotheses that support a simple Bayesian learning model with imperfect information. First, the correlation between performance estimates and prior beliefs rises wi...

Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan

Jul 6, 2018

Callen, Michael; Long, James D., 2018, "Replication Data for: Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan", https://doi.org/10.7910/DVN/NMXC6F, Harvard Dataverse, V1

We investigate the relationship between political networks, weak institutions, and election fraud during the 2010 parliamentary election in Afghanistan combining: (i) data on political connections between candidates and election officials; (ii) a nationwide controlled evaluation of a novel monitoring technology; and (iii) direct measurements of agg...

Replication Data for: Giffen Behavior and Subsistence Consumption

Jul 6, 2018

Jensen, Robert T.; Miller, Nolan H., 2018, "Replication Data for: Giffen Behavior and Subsistence Consumption", https://doi.org/10.7910/DVN/LGZMTI, Harvard Dataverse, V1

This paper provides the first real-world evidence of Giffen behavior, i.e., upward sloping demand. Subsidizing the prices of dietary staples for extremely poor households in two provinces of China, we find strong evidence of Giffen behavior for rice in Hunan, and weaker evidence for wheat in Gansu. The data provide new insight into the consumption...

Replication Data for: Experimental Evidence on the Long-Run Impact of Community-Based Monitoring

Jul 4, 2018

Björkman Nyqvist, Martina; de Walque, Damien; Svensson, Jakob, 2018, "Replication Data for: Experimental Evidence on the Long-Run Impact of Community-Based Monitoring", https://doi.org/10.7910/DVN/SXEIIS, Harvard Dataverse, V1

We evaluate the longer run impact of a local accountability intervention in primary health care provision in Uganda. Short-run improvements in health care delivery and health outcomes remained in the longer run despite minimal follow-up. We find no impact on the quality of care or health outcomes of a lower cost intervention that focused on encoura...

The Catch-22 of External Validity in the Context of Constraints to Firm Growth

Jul 3, 2018

Fischer, Greg; Karlan, Dean, 2018, "The Catch-22 of External Validity in the Context of Constraints to Firm Growth", https://doi.org/10.7910/DVN/MNW5LP, Harvard Dataverse, V1

We document the presence of multiple and varied constraints to small and medium firm growth. This presents both a practical problem for business training programs and a challenge to academic economists trying to identify mechanisms though which these programs may affect outcomes. External validity needs theory. This pushes researchers to narrowly d...

Replication Data for: Unintended Effects of Anonymous Résumés

Jul 3, 2018

Behaghel, Luc; Crépon, Bruno; Le Barbanchon, Thomas, 2018, "Replication Data for: Unintended Effects of Anonymous Résumés", https://doi.org/10.7910/DVN/KDWAIH, Harvard Dataverse, V1

We evaluate an experimental program in which the French public employment service anonymized résumés for firms that were hiring. Firms were free to participate or not; participating firms were then randomly assigned to receive either anonymous résumés or name-bearing ones. We find that participating firms become less likely to interview and hire mi...

Replication Data for: Getting beneath the Veil of Effective Schools: Evidence from New York City

Jun 29, 2018

Dobbie, Will; Fryer Jr., Roland G., 2018, "Replication Data for: Getting beneath the Veil of Effective Schools: Evidence from New York City", https://doi.org/10.7910/DVN/JGRLOU, Harvard Dataverse, V1

In this paper, we collect data on the inner-workings of 39 charter schools and correlate these data with school effectiveness. We find that traditionally collected input measures -- class size, per-pupil expenditure, teacher certification, and teacher training -- are not correlated with school effectiveness. In stark contrast, we show that an index...

The "Pupil" Factory: Specialization and the Production of Human Capital in Schools

Jun 29, 2018

Fryer Jr., Roland G., 2018, "The "Pupil" Factory: Specialization and the Production of Human Capital in Schools", https://doi.org/10.7910/DVN/7J9EXE, Harvard Dataverse, V1

I conducted a randomized field experiment in traditional public elementary schools in Houston, Texas designed to test the potential productivity benefits of teacher specialization. The average impact of encouraging schools to specialize their teachers on student achievement is −0.11 standard deviations per year on a combined index of math and readi...

Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone

Jun 29, 2018

Dobbie, Will; Fryer, Jr., Roland G., 2018, "Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone", https://doi.org/10.7910/DVN/B7YLTV, Harvard Dataverse, V1

Harlem Children's Zone (HCZ), an ambitious social experiment, combines community programs with charter schools. We provide the first empirical test of the causal impact of HCZ charters on educational outcomes. Both lottery and instrumental variable identification strategies suggest that the effects of attending an HCZ middle school are enough to cl...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications