IZA Evaluation Dataset Survey

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Arni, Patrick; Caliendo, Marco; Künn, Steffen; Zimmermann, Klaus F., 2023, "IZA Evaluation Dataset Survey", https://doi.org/10.15185/izadp.7971.1, Research Data Center of IZA (IDSC), V2

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Description	The IZA Evaluation Dataset Survey (IZA ED) was developed in order to obtain reliable longitudinal estimates for the impact of Active Labor Market Policies (ALMP). Moreover, it is suitable for studying the processes of job search and labor market reintegration. The data allow analyzing dynamics with respect to a rich set of individual and labor market characteristics. It covers the initial period of unemployment as well as long-term outcomes, for a total period of up to 3 years after unemployment entry. A longitudinal questionnaire records monthly labor market activities and their duration in detail for the mentioned period. These activities are, for example, employment, unemployment, ALMP, other training etc. Available information covers employment status, occupation, sector, and related earnings, hours, unemployment benefits or other transfer payments. A cross-sectional questionnaire contains all basic information including the process of entering into unemployment, and demographics. The entry into unemployment describes detailed job search behavior such as search intensity, search channels and the role of the Employment Agency. Moreover, reservation wages and individual expectations about leaving unemployment or participating in ALMP programs are recorded. The available demographic information covers employment status, occupation and sector, as well as specifics about citizenship and ethnic background, educational levels, number and age of children, household structure and income, family background, health status, and workplace as well as place of residence regions. The survey provides as well detailed information about the treatment by the unemployment insurance authorities, imposed labor market policies, benefit receipt and sanctions. The survey focuses additionally on individual characteristics and behavior. Such co-variates of individuals comprise social networks, ethnic and migration background, relations and identity, personality traits, cognitive and non-cognitive skills, life and job satisfaction, risky behavior, attitudes and preferences. The main advantages of the IZA ED are the large sample size of unemployed individuals, the accuracy of employment histories, the innovative and rich set of individual co-variates and the fact that the survey measures important characteristics shortly after entry into unemployment.
Subject	Social Sciences
Keyword	Attitudes, Citizenship, Commuting, Education, Ethnicity, Employment Status, Family Life, Job Search, Job Characteristics, Household Income, Labor and Employment, Labor Markets, Labor Mobility, Language Skills, Migration, Personality, Qualification, Religion, Residential Mobility, Satisfaction, Social Networks, Social Welfare, Unemployment, Wages, Well-Being, Youth Unemployment
Related Publication	Zezulka, S. (2023). Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning.
Notes	Researchers working with the “IZA Evaluation Dataset Survey” are obligated to acknowledge the data base and its documentation within their publications by using the citation reference.
License/Data Use Agreement	IIL-1.0

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	Documentation.zip ZIP Archive - 15.9 MB Published Oct 5, 2023 5 Downloads MD5: 5e5dc3178f44ff1ec49180fdac1c75bb The file contains all the essential documentation. Documentation	Access File File Access Public Request Access Download Metadata Data File Citation EndNote XML RIS BibTeX
	Contract_form.docx MS Word - 43.0 KB Published Oct 5, 2023 18 Downloads MD5: dacb117205952e9746fe581f62f9d785 Please add the required information into the contract form, affix your signature, and forward it to idsc@iza.org. Once your application has been approved by IZA's IDSC, the data will be made available via Josua to registered users. User contract	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.15185/izadp.7971.1
Publication Date	2023-10-05
Title	IZA Evaluation Dataset Survey
Author	Arni, Patrick (University of Bristol) Caliendo, Marco (University of Potsdam) Künn, Steffen (Maastricht University) Zimmermann, Klaus F. (POP – Centre for Population, Development and Labour Economics at UNU – MERIT)
Point of Contact	Use email button above to contact. Research Data Center of IZA (IDSC)
Description	The IZA Evaluation Dataset Survey (IZA ED) was developed in order to obtain reliable longitudinal estimates for the impact of Active Labor Market Policies (ALMP). Moreover, it is suitable for studying the processes of job search and labor market reintegration. The data allow analyzing dynamics with respect to a rich set of individual and labor market characteristics. It covers the initial period of unemployment as well as long-term outcomes, for a total period of up to 3 years after unemployment entry. A longitudinal questionnaire records monthly labor market activities and their duration in detail for the mentioned period. These activities are, for example, employment, unemployment, ALMP, other training etc. Available information covers employment status, occupation, sector, and related earnings, hours, unemployment benefits or other transfer payments. A cross-sectional questionnaire contains all basic information including the process of entering into unemployment, and demographics. The entry into unemployment describes detailed job search behavior such as search intensity, search channels and the role of the Employment Agency. Moreover, reservation wages and individual expectations about leaving unemployment or participating in ALMP programs are recorded. The available demographic information covers employment status, occupation and sector, as well as specifics about citizenship and ethnic background, educational levels, number and age of children, household structure and income, family background, health status, and workplace as well as place of residence regions. The survey provides as well detailed information about the treatment by the unemployment insurance authorities, imposed labor market policies, benefit receipt and sanctions. The survey focuses additionally on individual characteristics and behavior. Such co-variates of individuals comprise social networks, ethnic and migration background, relations and identity, personality traits, cognitive and non-cognitive skills, life and job satisfaction, risky behavior, attitudes and preferences. The main advantages of the IZA ED are the large sample size of unemployed individuals, the accuracy of employment histories, the innovative and rich set of individual co-variates and the fact that the survey measures important characteristics shortly after entry into unemployment.
Subject	Social Sciences
Keyword	Attitudes Citizenship Commuting Education Ethnicity Employment Status Family Life Job Search Job Characteristics Household Income Labor and Employment Labor Markets Labor Mobility Language Skills Migration Personality Qualification Religion Residential Mobility Satisfaction Social Networks Social Welfare Unemployment Wages Well-Being Youth Unemployment
Topic Classification	Employment (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Labor and employment policy (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Unemployment (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Working Conditions (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification
Related Publication	Zezulka, S. (2023). Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning. url: https://ceur-ws.org/Vol-3442/paper-34.pdf Caliendo, M., Künn, S., & Mahlstedt, R. (2023). The intended and unintended effects of promoting labor market mobility. Review of Economics and Statistics, 1-52. url: https://direct.mit.edu/rest/article/doi/10.1162/rest_a_01397/118338 Gohl, N. (2023). Working Longer, Working Stronger? The Forward-Looking Effects of Increasing the Retirement Age on (Un) employment Behaviour. url: https://opus4.kobv.de/opus4-hsog/files/4920/BSE_DP_0013.pdf Caliendo, M., Mahlstedt, R., Schmeißer, A., & Wagner, S. (2023). The Accuracy of Job Seekers' Wage Expectations. arXiv preprint arXiv:2309.14044. url: https://arxiv.org/pdf/2309.14044.pdf Lichter, A. & Schiprowski, A. (2021). Benefit duration, job search behavior and re-employment. Journal of Public Economics, 193, 2021, 104326. url: https://doi.org/10.1016/j.jpubeco.2020.104326 Rose, D. (2019). The impact of active labor market policies on the well-being of the unemployed. Journal of European Social Policy, 29(3), 396-410. url: https://doi.org/10.1177/0958928718792118 Constant, A. F., Krause, A., Rinne, U., & Zimmermann, K. F. (2017). Reservation wages of first-and second-generation migrants. Applied Economics Letters, 24(13), 945-949. url: https://doi.org/10.1080/13504851.2016.1243203 Arni, P., Caliendo, M. & Künn, S. (2014). The IZA evaluation dataset survey: a scientific use file. IZA J Labor Stud 3, 6. url: https://doi.org/10.1186/2193-9012-3-6 Caliendo, M., & Lee, W.-S. (2013). Fat Chance! Obesity and the Transition from Unemployment to Employment. Economics and Human Biology, 11 (2), 121-133. url: https://www.sciencedirect.com/science/article/pii/S1570677X12000081 Krause, A. (2013). Don’t worry, be happy? Happiness and reemployment. Journal of Economic Behavior & Organization, 96, 1-20. url: https://www.sciencedirect.com/science/article/pii/S0167268113002308 Caliendo, M., Falk, A., Kaiser, L.C., Schneider, H., Uhlendorff, A., van den Berg, G. & Zimmermann, K.F. (2011). The IZA Evaluation Dataset: towards evidence‐based labor policy making. International Journal of Manpower, Vol. 32 No. 7, pp. 731-752. url: https://www.emerald.com/insight/content/doi/10.1108/01437721111174730/full/html?casa_token=80RiRhdQQo0AAAAA:9ztXoeEpKCe02q6c1hxbg_-7eDl1n66q7XwArosaVlfsBCEB6WTOnQ8-lFiJaNclOODmy6yDcMQBpFXEJsHc4iC0p7JsU8jxyWfxlWz3B1f2fbVQiYGA Caliendo, M. & Uhlendorff, A. (2011). Determinanten des Suchverhaltens von Arbeitslosen: Ausgewählte Erkenntnisse basierend auf dem IZA Evaluationsdatensatz. Journal for Labour Market Research, 44 (1-2), 119-125. url: https://link.springer.com/content/pdf/10.1007/s12651-011-0054-x.pdf Constant, A. F., Kahanec, M., Rinne, U., & Zimmermann, K. F. (2011). Ethnicity, job search and labor market reintegration of the unemployed. International Journal of Manpower, 32(7), 753-776. url: https://www.ingentaconnect.com/content/mcb/016/2011/00000032/00000007/art00002 Constant, A. F., Krause, A., Rinne, U., & Zimmermann, K. F. (2011). Economic preferences and attitudes of the unemployed: are natives and second generation migrants alike?. International Journal of Manpower, 32(7), 825-851. url: https://www.ingentaconnect.com/content/mcb/016/2011/00000032/00000007/art00005 Van den Berg, G. J., Bergemann, A. H., & Caliendo, M. (2009). The effect of active labor market programs on not-yet treated unemployed individuals. Journal of the European Economic Association, 7(2-3), 606-616. url: https://academic.oup.com/jeea/article-abstract/7/2-3/606/2296026 Caliendo, M., Falk, A., Kaiser, Lutz, C., Schneider, H., Uhlendorff, A., van den Berg, G.J., Zimmermann, K. F. (2011). The IZA Evaluation Dataset: Towards Evidence-Based Labor Policy-Making. International Journal of Manpower, 2011, 32 (7), 731-752 url: https://www.emerald.com/insight/content/doi/10.1108/01437721111174730/full/html
Notes	Researchers working with the “IZA Evaluation Dataset Survey” are obligated to acknowledge the data base and its documentation within their publications by using the citation reference.
Language	English; German
Producer	Institute of Labor Economics (IZA)
Depositor	Research Data Center of IZA (IDSC)
Deposit Date	2023-10-05
Time Period	Start Date: 2007 ; End Date: 2011
Data Type	Survey Data

Geospatial Metadata

Geographic Coverage	Germany, Federal States
Geographic Unit	Districts

Social Science and Humanities Metadata

Unit of Analysis	Individuals
Time Method	Longitudinal
Sampling Procedure	The IZA ED focuses exclusively on entries into unemployment. The survey covers a longitudinal panel of 17,396 individuals who registered as unemployed at the German Federal Employment Agency between May 2007 and May 2008. The sampling of the data is restricted to individuals who are 16 to 54 years old, and who receive or are eligible to receive unemployment benefits. Starting from unemployment entry the individuals were surveyed at least three times: For the first time as closely as possible to the entry point into unemployment, the second time 12 months later and the third time three years (36 months) after entry into unemployment. Additionally, three selected cohorts were interviewed 6 months after entry into unemployment, in order to provide more details about the early stage of the unemployment spell. From the registered monthly unemployment inflows of about 8 million individuals between June 2007 and May 2008, a subsample of approximately 220,000 individuals has been drawn from the administrative records (3% random sample). Out of this gross sample each month a representative sample of approximately 1,450 individuals is interviewed, so that after one year 12 monthly cohorts are gathered. Altogether, this amounts to a total of 17,396 realized interviews with an average time lag of about two months between the unemployment registration and the interview. The IZA Evaluation Dataset complemented administrative data of the German Federal Employment Agency with survey data. The administrative data are based on social security records relevant for pension claims and unemployment insurance. The survey data can be merged with administrative information in the cases where the respondents agreed to this. The administrative part of the data is not available with the survey data for external researchers.
Collection Mode	Telephone Interview
Type of Research Instrument	Questionnaire

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