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.