Workforce economy, social and economic policy

Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures

Economic Annals-XXI

Economic Annals-XXI: Volume 206, Issue (11-12), Pages: 10-17

Citation information:
Bektleeva, D., Pritvorova, T., Atabayeva, A., & Zhailauov, Ye. (2023). Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures. Economic Annals-XXI, 206(11-12), 10-17. doi: https://doi.org/10.21003/ea.V206-02

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Dina Bektleeva
PhD (Economics),
Associate Professor,
Chief Specialist,
Department of Organization of Research Work,
Esil University
7 Akhmet Zhubanov Str., Astana, 010000, Republic of Kazakhstan
dinabek@mail.ru
ORCID ID: https://orcid.org/0000-0003-2829-279X

Tatyana Pritvorova
D.Sc. (Economics),
Chief Scientific Officer,
«RATIONAL SOLUTION» LLP
23/7 Shakhterov Ave., office 10, Karaganda, 100026, Republic of Kazakhstan
pritvorova_@mail.ru
ORCID ID: https://orcid.org/0000-0002-6306-3960

Assiya Atabayeva
PhD (Economics),
Department of Accounting and Audit,
Karaganda Buketov University
28 University Str., Karaganda, 100024, Republic of Kazakhstan
atabayeva_assiya_1@buketov.edu.kz
ORCID ID: https://orcid.org/0000-0002-4644-1843

Yerlan Zhailauov
PhD (Economics),
Director,
«RATIONAL SOLUTION» LLP
23/7 Shakhterov Ave., office 10, Karaganda, 100026, Republic of Kazakhstan
zhailauov@rationalsolution.kz 
ORCID ID: https://orcid.org/0000-0002-0609-6256

Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures

Abstract. In this research, we evaluate the impact of the initial status of beneficiaries in the labor market and in employment promotion projects on the total number of employable applicants entering the conditional cash assistance program in Kazakhstan. The authors applied the economic and statistical method of structure analysis and the ordinary least squares (OLS) to construct a multiple regression, which showed that the influence of the initial status at the entrance to the program has a stronger impact on the total number of employable beneficiaries of assistance than the efforts made by employment services to send applicants to employment promotion projects. It was proved that applicants who register in the program as unemployed eventually decrease, and job seekers who have jobs increase the total number of employable participants in the program. In accordance with the results obtained, directions for further research and measures to improve the effectiveness of the conditional cash assistance program were proposed.

Keywords: Conditional Cash Transfers; Employable Beneficiaries; Regression Method; Employees; Unemployed; Employment Projects

JEL Classification: I31; I38

Acknowledgements and Funding: This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. BR18574225).

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the authors upon request.

DOI: https://doi.org/10.21003/ea.V206-02

References

  1. Attanasio, O. P., Meghir, C., & Santiago, A. (2005). Education Choices in Mexico: Using a Structural Model and a Randomized Experiment to Evaluate PROGRESA. Working Paper EWP05/01, Institute for Fiscal Studies, London. https://www.researchgate.net/publication/32897485_Education_Choices_in_Mexico_Using_a_Structural_Model_and_a_Randomized_Experiment_to_Evaluate_PROGRESA
  2. Ayala, L., & Rodríguez, M. (2007). What determines exit from social assistance in Spain? International Journal of Social Welfare, 16(2), 168-182. https://doi.org/10.1111/j.1468-2397.2006.00455.x
  3. Bäckman, O., & Bergmark, A. (2011). Escaping welfare? Social assistance dynamics in Sweden. Journal of European Social Policy, 21(5), 486-500. https://journals.sagepub.com/doi/10.1177/0958928711418855
  4. Bah, A., Bazzi, S., Sumarto, S., & Tobias, J. (2019). Finding the poor vs. measuring their poverty: Exploring the drivers of targeting effectiveness in Indonesia. The World Bank Economic Review, 33(3), 573-597. https://doi.org/10.1093/wber/lhx020
  5. Baird, S., Ferreira, F. H., Özler, B., & Woolcock, M. (2014). Conditional, unconditional and everything in between: A systematic review of the effects of cash transfer programmes on schooling outcomes. Journal of Development Effectiveness, 6(1), 1-43. https://doi.org/10.1080/19439342.2014.890362
  6. Barrientos, A., & Malerba, D. (2020). Social assistance and inclusive growth. International Social Security Review, 73(3), 33-53. https://doi.org/10.1111/issr.12244
  7. Béland, D., Foli, R., Howlett, M., Ramesh, M., & Woo, J. (2018). Instrument constituencies and transnational policy diffusion: The case of conditional cash transfers. Review of International Political Economy, 25(4), 463-482. https://doi.org/10.1080/09692290.2018.1470548
  8. Bourguignon, F., Ferreira, F. H. G., & Leite, P. G. (2003). Conditional Cash Transfers, Schooling, and Child Labor: Micro-Simulating Brazil’s Bolsa Escola Program. Washington, D.C.: World Bank Group. http://documents.worldbank.org/curated/en/517831468013154948/Conditional-cash-transfers-schooling-and-child-labor-micro-simulating-Brazils-bolsa-escola-program
  9. Coady, D. P., & Parker, S. W. (2009). Targeting performance under self-selection and administrative targeting methods. Economic Development and Cultural Change, 57(3), 559-587. https://doi.org/10.1086/596615
  10. Gujarati, D. N. (2004). Basic Econometrics (4th Edition). The McGraw-Hill Companies. https://zalamsyah.staff.unja.ac.id/wp-content/uploads/sites/286/2019/11/7-Basic-Econometrics-4th-Ed.-Gujarati.pdf
  11. Barry. D., & Hartigan, J. A. (1990). An Omnibus Test for Departures from Constant Mean. Annals of Statistics, 18(3), 1340-1357. https://doi.org/10.1214/aos/1176347753
  12. de Janvry, A., & Sadoulet, E. (2006). Making Conditional Cash Transfer Programs More Efficient: Designing for Maximum Effect of the Conditionality. World Bank Economic Review, 20(1), 1-29. https://doi.org/10.1093/wber/lhj002
  13. Fiszbein, A., Schady, N. R., Ferreira, F. H. G., Grosh, M., Keleher, N., Olinto, P., & Skoufias, E. (2009). Conditional Cash Transfers: Reducing present and future poverty. World Bank Policy Research Report. Washington, D.C.: World Bank Group. http://hdl.handle.net/10986/2597
  14. Gerard, F., Naritomi, J., & Silva, J. (2021). Cash transfers and formal labor markets: Evidence from Brazil. Policy Research Working Paper No. 9778. Washington, D.C.: World Bank Group. http://documents.worldbank.org/curated/en/769531632319615215/Cash-Transfers-and-Formal-Labor-Markets-Evidence-from-Brazil
  15. Glewwe, P., & Kassouf, A. L. (2012). The impact of the Bolsa Escola/Familia conditional cash transfer program on enrollment, dropout rates and grade promotion in Brazil. Journal of Development Economics, 97(2), 505-517. https://doi.org/10.1016/j.jdeveco.2011.05.008
  16. Grosh, M., Leite, P., Wai-Poi, M., & Tesliuc, E. (Eds.). (2022). Revisiting targeting in social assistance: A new look at old dilemmas. Human Development Perspectives. Washington, D.C.: World Bank Group. http://hdl.handle.net/10986/37228
  17. Joanes, D. N., & Gill, C. A. (1998). Comparing measures of sample skewness and kurtosis. Journal of the Royal Statistical Society, Series D (The Statistician), 47(1), 183-189. https://doi.org/10.1111/1467-9884.00122
  18. Kabeer, N., & Waddington, H. (2015). Economic impacts of conditional cash transfer programmes: a systematic review and meta-analysis. Journal of Development Effectiveness, 7(3), 290-303. https://doi.org/10.1080/19439342.2015.1068833
  19. Königs, S. (2018). Micro-level dynamics of social assistance receipt: Evidence from four European countries. International Journal of Social Welfare, 27(2), 146-156. https://doi.org/10.1111/ijsw.12279
  20. Lagarde, M., Haines, A., & Palmer, N. (2007). Conditional cash transfers for improving uptake of health interventions in low-and middle-income countries: a systematic review. Jama, 298(16), 1900-1910. https://doi.org/10.1001/jama.298.16.1900
  21. Law of the Republic of Kazakhstan. (2001, July 17). On state targeted social assistance, No. 246-II (with changes and additions as of 01/01/2023). https://online.zakon.kz/Document/?doc_id=1023553&pos=1;-14#pos=1;-14
  22. Levi, S., & Cruces, G. (2021). Time for a new course: an essay on social protection and growth in Latin America. United Nations Development Programme, Latin America & the Caribbean. Working Paper No. 24. https://www.undp.org/latin-america/publications/time-new-course-essay-social-protection-and-growth-latin-america-0
  23. Linnik, Ju. V. (1963). The dispersion method in binary additive problems (Translated by S. Schuur). American Mathematical Society, Providence, R. I. https://www.ams.org/books/mmono/004/mmono004-endmatter.pdf
  24. Maitino, M. L., Mariani, M., Patacchini, V., Ravagli, L., & Sciclone, N. (2024). The Employment Effects of the Italian Minimum Guaranteed Income Scheme Reddito di Cittadinanza. Italian Economic Journal, 10, 649-681. https://doi.org/10.1007/s40797-023-00263-1
  25. Millán, T. M., Barham, T., Macours, K., Maluccio, J. A., & Stampini, M. (2019). Long-term impacts of conditional cash transfers: Review of the evidence. The World Bank Research Observer, 34(1), 119-159. https://doi.org/10.1093/wbro/lky005
  26. Matteo, M., Fietz, K. M., & Ferreira, C. E. S. L. H. (2023). Beneficiary Dynamics in the Bolsa Familia Conditional Cash Transfer – Capabilities, Constraints and the Local Labor Market (English). Washington, D.C.: World Bank Group. http://documents.worldbank.org/curated/en/099092023174615564/P174836000e1f30900bfd50eccde90a9381
  27. Todd, P. E., & Kenneth, I. W. (2006). Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility. American Economic Review, 96(5), 1384-1417. https://doi.org/10.1257/aer.96.5.1384

Received 28.10.2023
Received in revised form 19.11.2023
Accepted 23.11.2023
Available online 29.12.2023

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