Research Data Center of IZA (IDSC)
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Strategy and additive technologies as the catalyst for outsourcing, process innovation and operational effectiveness
Replication Data for: Strategy and additive technologies as the catalyst for outsourcing, process innovation and operational effectivenes
Replication Data for: "Social Ties in Academia: A Friend is a Treasure"
Replication Data for: "Social Ties in Academia: A Friend is a Treasure
Replication Data for: "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment"
This is the replication package for "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment," accepted in 2023 by the Journal of Political Economy
Replication Data for: 'Understanding Markets with Socially Responsible Consumers'
The data and programs replicate tables and figures from "Understanding Markets with Socially Responsible Consumers," by Kaufmann, Andre, and Koszegi. Please see the README file for additional details
Replication Data for: "The Labor Market Effects of Offshoring by U.S. Multinational Firms"
Kovak, Brian K., Oldenski, Lindsay, and Sly, Nicholas, (2021) “The Labor Market Effects of Offshoring by U.S. Multinational Firms.” Review of Economics and Statistics 103:2, 381–396
Replication Data for: 'Reallocation Effects of the Minimum Wage'
The programs replicate tables and figures from "Reallocation Effects of the Minimum Wage", by Dustmann, Lindner, Schoenberg, Umkehrer, and vom Berge. Please see the readme_data file for additional details
G²LM|LIC - Returns to Childcare and Capital: Experimental Evidence from Uganda
The study "Returns to Childcare and Capital: Experimental Evidence from Uganda" is designed to investigate how access to childcare and capital impacts the labor supply and business outcomes of women in Uganda, particularly those managing microenterprises. The central aim is to understand whether providing childcare can alleviate the constraints faced by female entrepreneurs due to familial obligations, thus enhancing their business productivity and overall household well-being.
Study Design and Methodology:
The project involved a randomized controlled trial (RCT) conducted between 2018 and 2023, surveying 1,496 households across urban and semi-urban areas in Uganda. All participating households had a three-to-five-year-old child and a female primary caregiver at the baseline. These households were randomly assigned to one of four groups:
T1: Provider with subsidized childcare (family support intervention).
T2: Given a cash grant (business support intervention).
T3: Received both subsidized childcare and a cash grant.
C: Control group, which received neither intervention.
The study collected data through multiple survey rounds, primarily conducted face-to-face, with two rounds completed via phone during COVID-19 lockdowns. The 13 survey rounds were designed to gather detailed information from female caregivers (household surveys) and their children (child surveys). The data is organized into separate files for each survey round, ensuring anonymity and consistency in variable naming.
Findings and Objectives:
The study aims to answer three key research questions:
Does providing access to childcare increase women’s labor supply and stimulate the development of female-owned businesses?
Does this access improve the effectiveness of business development interventions like cash grants?
Does it enhance child development outcomes?
By comparing the outcomes across the different groups, the researchers can identify the causal effects of childcare support, business grants, and their combination on women’s economic participation and household welfare. The findings are expected to provide insights into how integrating family support with business support can lead to better economic outcomes for women, particularly in low-income countries.
Key Insights:
The childcare subsidy was found to significantly increase labor supply and earnings among single mothers, while also positively impacting household income and child development.
Cash grants improved labor supply and income for mothers across different household structures, underscoring the importance of addressing credit constraints for business growth.
The study also explores potential complementarities between childcare and business support, offering a comprehensive view of how these interventions can work together to empower women economically.
This research contributes to the broader understanding of microenterprise development, especially the role of domestic responsibilities in shaping economic opportunities for women in developing countries
G²LM|LIC - Labor Supply Complementarities in Urban Côte d‘Ivoire
This data examines complementarities in labor supply: to what extent does a person’s desire to work at a firm depend on whether others in her social network also work at the firm?
The researchers conducted two field experiments in urban Côte d’Ivoire. In the first experiment, job seekers are 16pp more likely to accept a formal full-time factory job if their network members also receive a job offer, and 15pp more likely to stay in that job four months later—but only if they will be employed in the same shift (rather than different shifts). These effects are driven by workers with long commute times, who can commute to work together. Consistent with this channel, in the firm’s administrative data, workers’ own attendance and turnover are predicted by the attendance and quits of co-commuting peers.
In a second field experiment with a different firm, the researchers again randomize whether a worker’s network members are offered a job, whether they would be co-located with the worker, and job location—inducing exogenous variation in commute time.
The researchers replicate the finding of complementarities in labor supply, but only in the case of long assigned commute times. These findings indicate that the social composition of one’s peers can have large impacts on labor supply, and suggest that one important mechanism is commuting costs—which are especially high in developing country cities.
The results provide a novel explanation for key features of urban labor markets, including firms’ widespread use of referrals for hiring and persistent gaps in employment across social groups
A Hands-On Machine Learning Primer for Social Scientists: Math, Algorithms and Code
Jupyter notebooks in Python which accompany the upcoming paper "A Hands-On Machine Learning Primer for Social Scientists: Math, Algorithms and Code". The paper and its code aim at enabling social scientists, who wish to do so, to add Machine Learning techniques to their research toolkit, by adopting a pedagogical strategy inspired by the adage "once you understand OLS, you can work your way up to any other estimator," and applying it to Machine Learning. Focusing on a single-hidden-layer artificial neural network, the paper discusses its mathematical underpinnings, including the pivotal Universal Approximation Theorem—an essential "existence theorem". The exposition extends to the algorithmic exploration of solutions, specifically through feedforward and backpropagation, and rounds up with the practical implementation in Python. The objective of this primer is to equip readers with a solid foundational comprehension and jump start their journey to the forefront of AI and causal machine learning
Replication Data for: Why should we integrate income and employment support? A conceptual and empirical investigation
The data and code replicate the analysis of "mandatory active labour market policies included in unemployment protection schemes, by country and type of measure", based on data from the Social Security Programs Throughout the World (SSPTW) database using the software Stata