Ukrainian Longitudinal Monitoring Survey

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Lehmann, Hartmut; Muravyev, Aleksander; Kiev International Institute of Sociology, KIIS; Centre for Economic Reform and Transformation, CERT; Economics Education and Research Consortium-Ukraine, EERC; Rheinisch-Westfälisches Institut für Wirtschaftsforschung-Essen, RWI, 2023, "Ukrainian Longitudinal Monitoring Survey", https://doi.org/10.15185/izadp.7090.1, Research Data Center of IZA (IDSC), V1

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Description	The survey aimed at getting detailed information on employment, reasons for unemployment and job search strategies, education, changes in places of residence and health of active adult population of Ukraine. The survey was held in all the regions including the Crimean Autonomous Republic. Besides individual information, the survey gathered information on welfare level of Ukrainian households, in particular on sources and amounts of cash and natural income, and the structure of expenditure and consumption of Ukrainian families. The household questionnaire contains items on the demographic structure of the household, including data on household membership and structure. Information on households' consumption, including data on buying, making and consuming foodstuff in the household, as well as nonfood costs. The core of the survey is the individual questionnaire, which elicits detailed information concerning the labor market experience of Ukrainian workers. The individual questionnaire included the following sections: - Retrospective sections where information is gathered about employment changes during 2003-2004 and about changes of residence since during 2003-2004 - Reference-week part where information is gathered about the employment and non-employment during the week preceding the interview - Individual characteristics of a household member section; - Studies and skills section; - Attitudes, health, and ecology section In the 2004 questionnaire, besides the reference week sections, there is an extensive retrospective part, which ascertains each individual's labor market circumstances covering the intervals 2003 to 2004.
Subject	Social Sciences
Keyword	Job Search, Labor Markets, Skills, Unemployment
Related Publication	Dohmen, T., Khamis, M., Lehmann, H., & Pignatti, N. (2023). Risk attitudes and informal employment in Ukraine.
License/Data Use Agreement	IIL-1.0

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Persistent Identifier	doi:10.15185/izadp.7090.1
Publication Date	2023-11-08
Title	Ukrainian Longitudinal Monitoring Survey
Author	Lehmann, Hartmut (Leibniz Institute for East and Southeast European Studies) Muravyev, Aleksander (St.Petersburg University - St.Petersburg School of Economics and Management, Department of Economics)) Kiev International Institute of Sociology, KIIS Centre for Economic Reform and Transformation, CERT Economics Education and Research Consortium-Ukraine, EERC Rheinisch-Westfälisches Institut für Wirtschaftsforschung-Essen, RWI
Point of Contact	Use email button above to contact. Research Data Center of IZA (IDSC)
Description	The survey aimed at getting detailed information on employment, reasons for unemployment and job search strategies, education, changes in places of residence and health of active adult population of Ukraine. The survey was held in all the regions including the Crimean Autonomous Republic. Besides individual information, the survey gathered information on welfare level of Ukrainian households, in particular on sources and amounts of cash and natural income, and the structure of expenditure and consumption of Ukrainian families. The household questionnaire contains items on the demographic structure of the household, including data on household membership and structure. Information on households' consumption, including data on buying, making and consuming foodstuff in the household, as well as nonfood costs. The core of the survey is the individual questionnaire, which elicits detailed information concerning the labor market experience of Ukrainian workers. The individual questionnaire included the following sections: - Retrospective sections where information is gathered about employment changes during 2003-2004 and about changes of residence since during 2003-2004 - Reference-week part where information is gathered about the employment and non-employment during the week preceding the interview - Individual characteristics of a household member section; - Studies and skills section; - Attitudes, health, and ecology section In the 2004 questionnaire, besides the reference week sections, there is an extensive retrospective part, which ascertains each individual's labor market circumstances covering the intervals 2003 to 2004.
Subject	Social Sciences
Keyword	Job Search Labor Markets Skills Unemployment
Related Publication	Dohmen, T., Khamis, M., Lehmann, H., & Pignatti, N. (2023). Risk attitudes and informal employment in Ukraine. url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4570010 Berchuk, O. (2023). Military Conscription and Higher Educational Attainment in Ukraine. url: https://olenaberchuk.com/documents/Berchuk_JMP.pdf Lebedeva, L, Kucherova, Y. & Godina, E. (2022). Cartographic method for studying secular trend in male stature in Russia and neighboring countries in the 19-20th centuries. Lomonosov Journal of Anthropology (Moscow University Anthropology Bulletin), 1, 41-53. url: https://doi.org/10.32521/2074-8132.2022.1.041-053 Gatskova, K. (2021). Gender Wage Gap and Gender Attitudes in Ukraine. In: Gendering Post-Soviet Space (pp. 181-194). Springer, Singapore. url: https://link.springer.com/chapter/10.1007/978-981-15-9358-1_8 Nizalova, O., & Norton, E.C. (2021). Long-term effects of job loss on male health: BMI and health behaviors. Economics & Human Biology, Volume 43, 101038. url: https://doi.org/10.1016/j.ehb.2021.101038 Ayhan, S. H., Gatskova, K., & Lehmann, H. (2020). The impact of non-cognitive skills and risk preferences on rural-to-urban migration in Ukraine. Journal of Comparative Economics, 48(1), 144-162. url: https://doi.org/10.1016/j.jce.2019.09.001 Oksamytna, S. (2020). Education in Transition: Structure, Expansion and Inequality. In: Ukraine in Transformation (pp. 91-122). Palgrave Macmillan, Cham. url: https://link.springer.com/chapter/10.1007/978-3-030-24978-6_5 Rosenfeld, B. (2020). Revolution, Democratic Retrenchment, and the Middle Class. In: The Autocratic Middle Class (pp. 155-192). Princeton University Press. url: https://doi.org/10.1515/9780691209777-007 Danzer, A. M. (2019). Can Secondary Jobs Smooth Consumption? Evidence from Unanticipated Wage Arrears. Economic Development and Cultural Change, 67(3), 571-594. url: https://doi.org/10.1086/698313 Danzer, N. (2019). Job satisfaction and self-selection into the public or private sector: Evidence from a natural experiment. Labour Economics, 57, 46-62. url: https://doi.org/10.1016/j.labeco.2019.01.002 Hayduk, I., & Williams, D. R. (2019). Gender gap in self‐employment: The role of risk attitudes. Economics of Transition and Institutional Change, 27(3), 673-698. url: https://doi.org/10.1111/ecot.12209 Seitz, W., & Zazzaro, A. (2019). Sanctions and public opinion: The case of the Russia-Ukraine gas disputes. The Review of International Organizations, 1-27. url: https://link.springer.com/article/10.1007%2Fs11558-019-09360-2 Deffontaines, P. (2018). Pratiques comptables ordinaires et travail des femmes : inégalités sociales face à la crise en Ukraine. Revue Française de Socio-Économie, 21(2), 7-26. url: https://doi.org/10.3917/rfse.021.0007 Ganguli, I. (2018). Immigrant selection before and after communism. Economics of Transition, 26(4), 649-694. url: https://doi.org/10.1111/ecot.12159 Lehmann, H., & Pignatti, N. (2018). Informal employment relationships and the labor market: Is there segmentation in Ukraine?. Journal of Comparative Economics, 46(3), 838-857. url: https://doi.org/10.1016/j.jce.2018.07.011 Norton, E. C., Nizalova, O., & Murtazashvili, I. (2018). Does past unemployment experience explain the transition happiness gap? Journal of Comparative Economics, 46(3), 736-753. url: https://doi.org/10.1016/j.jce.2018.07.005 Tyrowicz, J., & Van der Velde, L. (2018). Labor reallocation and demographics. Journal of Comparative Economics, 46(1), 381-412. url: https://doi.org/10.1016/j.jce.2017.12.003 Danzer, A. M., & Danzer, N. (2016). The long-run consequences of Chernobyl: Evidence on subjective well-being, mental health and welfare. Journal of Public Economics, 135, 47-60. url: https://doi.org/10.1016/j.jpubeco.2016.01.001 Dohmen, T., Lehmann, H., & Pignatti, N. (2016). Time-varying individual risk attitudes over the Great Recession: A comparison of Germany and Ukraine. Journal of Comparative Economics, 44(1), 182-200. purl: https://doi.org/10.1016/j.jce.2015.10.002 Nizalova, O. Y., Sliusarenko, T., & Shpak, S. (2016). The motherhood wage penalty in times of transition. Journal of Comparative Economics, 44(1), 56-75. purl: https://doi.org/10.1016/j.jce.2015.10.009 Lehmann, H. (2015). Informal employment in transition countries: Empirical evidence and research challenges. Comparative Economic Studies, 57(1), 1-30. purl: https://link.springer.com/article/10.1057/ces.2014.44 Commander, S., Isachenkova, N., & Rodionova, Y. (2013). Informal employment dynamics in Ukraine: An analytical model of informality in transition economies. International Labour Review, 152(3-4), 445-467. url: https://doi.org/10.1111/j.1564-913X.2013.00188.x Constant, A. F., Kahanec, M., & Zimmermann, K. F. (2012). The Russian–Ukrainian earnings divide. Economics of Transition, 20(1), 1-35. url: https://doi.org/10.1111/j.1468-0351.2011.00428.x Lehmann, H., Muravyev, A., & Zimmermann, K. F. (2012). The Ukrainian longitudinal monitoring survey: towards a better understanding of labor markets in transition. IZA Journal of Labor & Development, 1(1), 9. url: https://link.springer.com/article/10.1186/2193-9020-1-9 Pignatti, N. (2012). Gender wage gap dynamics in a changing Ukraine. IZA Journal of Labor & Development, 1(1), 7. url: https://link.springer.com/article/10.1186/2193-9020-1-7 url: Aleksynska, M. (2011). Relative deprivation, relative satisfaction, and attitudes towards immigrants: Evidence from Ukraine. Economic Systems, 35(2), 189-207. url: https://doi.org/10.1016/j.ecosys.2010.06.002 Constant, A. F., Kahanec, M., & Zimmermann, K. F. (2011). The Russian-Ukrainian Political Divide. Eastern European Economics, 49(6), 97-109. url: https://doi.org/10.2753/EEE0012-8775490606 Lehmann, H., & Wadsworth, J. (2011). The impact of Chernobyl on health and labour market performance. Journal of health economics, 30(5), 843-857. url: https://doi.org/10.1016/j.jhealeco.2011.07.011 Brück, T., Danzer, A. M., Muravyev, A. & Weisshaar, N. (2010). Poverty during transition: Household survey evidence from Ukraine. Journal of Comparative Economics, 38(2), 123-145. url: https://doi.org/10.1016/j.jce.2009.10.002 Pagés, C., & Stampini, M. (2009). No education, no good jobs? Evidence on the relationship between education and labor market segmentation. Journal of Comparative Economics, 37(3), 387-401. url: https://doi.org/10.1016/j.jce.2009.05.002 Fankhauser, S., Rodionova, Y., & Falcetti, E. (2008). Utility payments in Ukraine: Affordability, subsidies and arrears. Energy Policy, 36(11), 4168-4177. url: https://doi.org/10.1016/j.enpol.2008.06.031 Perelli-Harris, B. (2008). Ukraine: On the border between old and new in uncertain times. Demographic research, 19, 1145-1178. url: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.354.514&rep=rep1&type=pdf Perelli-Harris, B. (2008). Family formation in post-Soviet Ukraine: Changing effects of education in a period of rapid social change. Social Forces, 87(2), 767-794. url: https://doi.org/10.1353/sof.0.0140 Gorodnichenko, Y., & Peter, K. S. (2007). Public sector pay and corruption: Measuring bribery from micro data. Journal of Public economics, 91(5-6), 963-991. url: https://doi.org/10.1016/j.jpubeco.2006.12.003 Brown, J. D., Earle, J. S., & Vakhitov, V. (2006). Wages, layoffs, and privatization: Evidence from Ukraine. Journal of Comparative Economics, 34(2), 272-294. url: https://doi.org/10.1016/j.jce.2006.02.004 Ganguli, I., & Terrell, K. (2006). Institutions, markets and men's and women's wage inequality: Evidence from Ukraine. Journal of Comparative Economics, 34(2), 200-227. url: https://doi.org/10.1016/j.jce.2006.02.008 Kupets, O. (2006). Determinants of unemployment duration in Ukraine. Journal of Comparative Economics, 34(2), 228-247. url: https://doi.org/10.1016/j.jce.2006.02.006 Lehmann, H., Pignatti, N., & Wadsworth, J. (2006). The incidence and cost of job loss in the Ukrainian labor market. Journal of Comparative Economics, 34(2), 248-271. url: https://doi.org/10.1016/j.jce.2006.02.007 Gorodnichenko, Y., & Peter, K. S. (2005). Returns to schooling in Russia and Ukraine: A semiparametric approach to cross-country comparative analysis. Journal of Comparative Economics, 33(2), 324-350. url: https://doi.org/10.1016/j.jce.2005.03.007
Language	English
Producer	Institute of Labor Economics (IZA)
Depositor	Research Data Center of IZA (IDSC)
Deposit Date	2023-11-07
Time Period	Start Date: 2003 ; End Date: 2004 Start Date: 2007 ; End Date: 2007 Start Date: 2012 ; End Date: 2012
Data Type	Survey Data

Geospatial Metadata

Geographic Coverage	Ukraine

Social Science and Humanities Metadata

Unit of Analysis	Individuals; Households
Time Method	Longitudinal
Sampling Procedure	The population of the survey is the working-age/labor-age population, that is aged 15-72 inclusive. The survey took place in the period of time from March 4, 2004 till December 30, 2004. The field stage started May 29 and was completed October 16, 2004. 94% of the surveyed households were questioned in June and July. The survey was held at the household addresses included in the sampling of ULMS-2003 basic research. All country's regions including the Crimean Autonomous Republic were engaged. In the final data file were included 3449 questionnaires of households, 3394 (98.4%) of which are panel and 55 (1.6%) of which appeared as a result of division of families questioned in 2003. 55 households were excluded from the data file as their members either reached the pension age or deceased. In 2003 4056 households were interviewd. Thus, the data file response rate came to 85%. In the final data file there were 7200 individual questionnaires were included, 6889 (96%) of which are panel, 311 (4%) individuals were questioned only in 2004 as they reached the age of 15 or joined the households as a result of family enlargement. In 2003 there were questioned 8641 individuals. Thus the individual data file response rate came to 81%.
Collection Mode	Face-to-face Interview

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