Research Data Center of IZA (IDSC)
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105 research outputs found
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Replication data for: Incentives to Identify: Racial Identity in the Age of Affirmative Action
No full textAntman, Francisca, and Duncan, Brian, (2015) "Incentives to Identify: Racial Identity in the Age of Affirmative Action." Review of Economics and Statistics 97:3, 710-713
Replication data for: "Split Decisions: Household Finance When a Policy Discontinuity Allocates Overseas Work"
No full textClemens, Michael A., and Tiongson, Erwin R., (2017) "Split Decisions: Household Finance When a Policy Discontinuity Allocates Overseas Work." Review of Economics and Statistics 99:3, 531-543
Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"
No full textThis is the replication package for "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh," accepted in 2024 by the Journal of Political Economy Microeconomics. This document describes the datasets and Stata codes used to replicate the results in the article
Replication Data for: "Long-run effects of earlier voting eligibility on turnout and political involvement"
No full textThe folder contains replication material for the paper "Long-run effects of earlier voting eligibility on turnout and political involvement".
As the data (UKHLS/BHPS) was provided under a special licence agreement, the data cannot be uploaded. A description on how to apply for the data and all programmes required to produce the figures and tables of the paper are included in the folder
G²LM|LIC - Paternalistic Discrimination
No full textThe study combines field experiments in Bangladesh with a structural labormodel to introduce paternalistic discrimination. This discrimination involves the differential treatment of two groups to protect one, even against its will, from harmful or unpleasant situations. The main findings are derived from two field experiments conducted in Bangladesh to measure paternalistic discrimination against women. The observations are based on real hiring and application decisions for a night-shift job, with a focus on the impact of paternalistic discrimination on the labormarket. The study framework incorporates other-regarding employers, who value their workers’ welfare.
A hiring experiment with 495 employers and individuals with hiring experience in the previous three years in Dhaka was conducted. It included detailed information about the job, survey questions related to the experiment, experimental interfaces used, stages of the hiring experiment, and the elicitation of employers’ beliefs and predictions. Two datasets comprisethe employer experiment (Employer_experiment.dta) and data from the application experiment.
If the employers are not informed about the safe transport provided for workers, they discriminate paternalistically. This reduces the demand for female laborand has a larger effect on hiring decisions. On the other hand, the supply of female laborreduces when applicants are not informed about the transport. The research also estimates the model parameters and finds that eliminating paternalistic discrimination reduces the gender employment gap.
The data points to the influence of paternalistic discrimination on reducing job costs or increasing benefits for workers. Additionally, it suggests that women with little experience suffer the most from paternalistic discrimination, which may hinder early-career employment opportunities. Overall, the findings suggest that addressing paternalistic discrimination could lead to increased female laborforce participation and improved labormarket outcomes. </br
Gender-Targeted Job Ads in the Recruitment Process: Evidence from China
No full textTo measure how gendered job ads interact with workers’ application decisions and employers’ callback behavior, this data entails applicant and callback pools to job ads on internal records of a Chinese job board (XMRC.com), an Internet job board serving the city of Xiamen, over a six-month period in 2010.
XMRC is a private firm, commissioned by the local government to serve private-sector employers seeking relatively skilled workers. Its job board has a typical U.S. structure, with posted ads and resumes, on-line job applications and a facility for employers to contact workers via the site. XMRC went online in early 2000; it is nationally recognized as dominant in Xiamen.
To study the effect of gender profiling on application and callback patterns, the project began with the universe of ads that received their first application between May 1 and October 30, 2010. Those ads where then matched to all the resumes that applied to them, creating a complete set of applications. Finally, for the subset of ads that used XMRC’s internal messaging system to contact applicants, the data has indicators for which applicants were contacted after the application was submitted. This indicator serves as the measure of callbacks.
The primary dataset for the paper is this subset of ads for which callback information is available, which comprises 3,637/42,744 = 8.5 percent of all ads. In all, the primary dataset comprises 229,616 applications made by 79,697 workers (resumes) to 3,637 ads, placed by 1,614 firms, resulting in 19,245 callbacks. Thus there was an average of 63 applications per ad and 5.3 callbacks per ad. One in twelve applications received a callback, while one in four resumes received a callback
Replication Data for: On the joint consumption and labor supply effects of migration on those left behind
No full textPrevious literature has investigated the effect of migration on remaining household members’ consumption or labour supply, but has rarely examined them jointly. When migration increases consumption but reduces leisure time, one needs a specific framework to draw a conclusion about the overall impact on welfare. I propose such a new approach and test its theoretical implications using household panel data from rural Mexico. The results reveal that adjusting for leisure costs reduces the net welfare gain of migration by one fourth relative to what the consumption gain would suggest
Replication Data for: "The Drowning-out Effect: Voter Turnout and Protests"
No full textConventional wisdom suggests that a high turnout in a free and fair election would be laudable; it might signify proper representation and hence facilitate democratic conflict resolution. This paper presents a game-theoretic model and demonstrates that this intuition does not necessarily hold. With large voting costs, only people of intense preferences turn out, and thus the electoral results represent their opinions. In contrast, small voting costs allow people of lukewarm preferences to turn out. Because such lukewarm voters usually constitute a majority, the results of the election represent the opinions of the lukewarm majority and drown out the voices of the intense minority. This incentivizes the intense minority to raise their voices via outside options such as protests. Thus, rather counterintuitively, high turnout increases protests. I test this hypothesis using election-day rainfall as an instrumental variable for turnout and apply it to Indian State Assembly elections. The results indicate that higher turnout increases the likelihood of protests. The analyses on the causal mechanisms and robustness provide further credence to the finding
Replication Data for: 'Labor in the Boardroom'
No full textThe programs replicate tables and figures from "Labor in the Boardroom", by Jaeger, Schoefer and Heining. Please see the replication documentation file for additional details
G²LM|LIC - The Roles of Information and Search Frictions in Determining Working Conditions in Bangladesh’s Apparel Sector
No full textThe emergence of low-skill manufacturing sectors in developing countries can increase labor market opportunities and provide other economics benefits for women (Heath and Mobarak, 2015; Tanaka, 2017). But in light of the poor conditions that characterize many low-skill manufacturing sectors, some researchers have questioned whether manufacturing jobs are actually better for workers than their alternatives. (Blattman and Dercon, 2018; Blattman, Dercon, and Franklin, 2019). Recent research by co-PI’s Boudreau and Heath provides evidence consistent with a model of information frictions around working conditions.
In this project, it will build upon our previous research (and a pilot RCT conducted by co-PI Boudreau) by experimentally investigating to what extent information and search frictions in Bangladesh’s labor market contribute to inefficient matching between workers and firms, and how these frictions interact with gender. Specifically, it will implement a cluster randomized controlled trial (RCT) that provides information about job characteristics (wages and working conditions), job openings, or both, and then assess the impact of treatment on outcomes such as their beliefs about working conditions and wages in the garments sector, job search activity, and employment outcomes. Women likely both particularly value safe workplaces and differentially lack information about working conditions and job openings. This project will then indicate whether policies to alleviate information frictions can help to close gender gaps in labor outcomes and improve the working conditions faced by women, allowing them to enjoy the benefits of these jobs without risking their health, safety, or wellbeing.
The research team will begin by conducting a household survey of a residential sample of garment workers in a sample of neighborhoods in Savar, Gazipur, and possibly Narayanganj, which are peri-urban regions of Dhaka home to large clusters of garments factories and to working-age populations with particularly high rates of employment in the garments sector. After the initial survey, individuals with less than two years of experience will be eligible to participate in the experiment. Because of the possibility of spillovers, treatment will be assigned at the neighborhood level. Within neighborhood, they first stratify eligible individuals by their gender, their beliefs about their factory’s quality relative to other factories nearby, and their factory’s actual quality relative to other factories, and then randomly select individuals within each treatment. The selected experimental sample will be given a longer survey that asks more detailed questions about their work history, current information sources, and perceptions of other factories.
Both the information about working conditions and job openings will be given on pamphlets that enumerators will go through in detail with participants. The information on working conditions will include both workers‘ reports of working conditions from the household survey and information from a unique collection of measures from buyer and government safety and other initiatives that the team has assembled. The project team will pilot different approaches to providing workers with continued access to this information, such as “refresher” phone calls or text messages to workers and a toll-free phone number that workers can call to receive the same information by phone. To gather information on job openings, they will send enumerators to factories during important hiring periods (namely, the first 5-10 days of the month) to find out whether they are hiring. They will provide vacancy information every month for a period of eight months via text messages and/or automated phone calls.
To collect follow-up data over the eight months of the treatment, both treatment and control participants will receive short, monthly Interactive Voice Response (IVR) phone-based surveys for eight months. The team will compensate participants for completing these surveys with airtime credit and send enumerators to follow-up in person with difficult-to-reach participants. In each of these rounds of data collection, the team will collect data on the four key outcomes of the study: respondents’ beliefs about the quality of their current factory, reported job quality, wages, and recently mobility. They are powered to detect, after conservatively adjusting for multiple hypothesis testing and allowing for an attrition rate of 25 per cent, an 8 percentage point increase in the probability of changing factories (the outcome that the research team identify as most difficult to impact) on an assumed control group mean of 30 per cent mobility.
This research contributes to growing literature on information and search frictions in labor markets, in particular in developing countries. While several recent experimental studies highlight that demand-side information frictions about worker ability impede efficient matches from occurring between workers and employers in developing countries (Abebe et al., 2018; Bassi and Nansamba, 2019; Carranza et al., 2019), there has been less empirical work on supply-side information frictions about job attributes. There is also evidence that information about job opportunities does not easily diffuse in developing countries (Jensen, 2012; Oster and Steinberg, 2013; Dammert et al., 2013; Beam, 2016; Abebe et al., 2018), and that experimental interventions reducing search frictions particularly help female workers (Abebe et al 2018). Our project will study the relative importance of search and information frictions, and how these vary by gender, in the same setting. This study will also contribute to a small body of literature that aims to estimate the Value of a Statistical Life (VSL) for populations in developing countries, by using an information intervention to estimate a VSL, and explicitly including both men and women