The datasets of the GLM|LIC programme offer a data repository service for researchers who are interested in labour market issues in low-income countries (LICs). Files with projects or data sources listed below are associated with the GLM|LIC programme.
Datasets. Two types of data have been collected during the project: the experiment data as well as the survey data on subjects’ past wage and employment history. The data have been used in the publications: Breza, E., Kaur, S. and Shamdasani, Y., 2017. The morale effects of pay inequality. The Quarterly Journal of Economics, 133(2), pp.611-663.
Datasets. This survey experiment studies the accuracy of farm labour data in household surveys. They tested four alternative survey designs across 854 households from 18 communities in the Mara Region of Tanzania during the main 2014 agricultural season (roughly January to June).
Datasets. All survey data have been collected by IPA Zambia through computer assisted interviews using handheld mobile devices (Samsung Gio).
Datasets. With their project partner, Carteira Movel, administrative data have been collected on take-up and usage of mKesh services by all participants.
Datasets. The datasets include a sample of worker histories and valuation for formal work from approximately 2,000 workers in Dhaka and Chittagong. In addition, it combines the labor force data from 2002, 2005 and 2010 LFS with information from the HIES survey rounds in 2000, 2005 and 2010, which also include modules on employment.
Datasets. The GEM evaluation produces four distinct data sets: the baseline survey, the enterprise census, the high frequency surveys, and the endline survey.
Datasets. The project creates a unique panel dataset on high-risk youth with valuable insights into the Liberian labor market. The data have been used in the publications: Blattman, C., Jamison, J.C. and Sheridan, M., 2017. Reducing crime and violence: Experimental evidence from cognitive behavioral therapy in Liberia. American Economic Review, 107(4), pp.1165-1206.
Datasets. The project collects administrative data from the factories and also conducts surveys with supervisors and machine operators in the factories. The survey of selected samples of workers within the factory monitors wages, extra-hours, working conditions, relationships and communication patterns with supervisors, work attitudes, aspirations, career plans, and other individual characteristics.
Datasets. This project collates, digitises and uses individual-level and aggregate Census data from the 1940s through 1990s to investigate whether these large migration flows and corresponding cash inflows through deferred pay schemes affected the employment patterns of men and women over the long term.
Datasets. LAMFOR collects additional data on this topic in Burundi in 2015 to complement data previously collected by the researchers (national dataset) in 2011.
Datasets. The project produces a new high-resolution spatial dataset covering many aspects of the urban economy, including formal and informal labour markets, industrial structure, housing prices, zoning laws, infrastructure and poverty.
Datasets. The paper associated with this dataset analyzes theoretically and empirically the impact of comparative advantage in international trade on fertility. It builds a model in which industries differ in the extent to which they use female relative to male labor and countries are characterized by Ricardian comparative advantage in either female labor or male labor-intensive goods.
Datasets. This project addresses some of the data constraints that inhibit appropriate research and policy formulation on Zimbabwean manufacturing. The objective of the project was to build a panel of firm data in Zimbabwe that covers various years over the period 1993 to 2015 and to add a matched survey of employees covering the period 2015 to 2016. The basis of the firm panel is the Regional Programme on Enterprise Development (RPED) surveys of manufacturing firms in Zimbabwe conducted in 1993, 1994, and 1995.
Datasets. The dataset covers a wide range of topics – from household demographics, assets, income sources, expenditure, migration to individual well-being, employment, social networks, decision-making, and attitudes among many other topics.
Datasets. The Socioeconomic High-resolution Rural-Urban Geographic Platform for India (SHRUG) data platform includes a core set of data that spans India’s 500,000 villages, 8000 towns, and 4000 legislative assemblies.