Last Updated:
25/01/2019 - 21:30

Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey

Aysit Tansel and H. Mehmet Taşçı

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There is little evidence on unemployment duration and its determinants in developing countries. This study is on the duration aspect of unemployment in a developing country, Turkey. We analyze the determinants of the probability of leaving unemployment for employment or the hazard rate. The effects of the personal and household characteristics and the local labor market conditions are examined. The analyses are carried out for men and women separately. The results indicate that the nature of unemployment in Turkey exhibits similarities to the unemployment in both the developed and the developing countries.

Brain Drain from Turkey: Return Intentions of Skilled Migrants

Nil Demet Güngör and Aysit Tansel

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The study estimates an empirical model of return intentions using a dataset compiled from an internet survey of Turkish professionals residing abroad. In the migration literature, wage differentials are often cited as an important factor explaining skilled migration. The findings of our study suggest, however, that non-pecuniary factors, such as the importance of family and social considerations, are also influential in the return or non-return decision of the highly educated. In addition, economic instability in Turkey, prior intensions to stay abroad and work experience in Turkey also increase non-return. Female respondents also appear less likely to return indicating a more selective migration process for females.

Informality and Productivity: Productivity Differentials between Formal and Informal Firms in Turkey

Erol Taymaz

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The informal sector constitutes a large share of employment and output in all developing countries. Although the informal sector is regarded by many researchers and policy makers as a source of employment developing countries desperately need, there is ample evidence that documents that informal firms are less productive, employ unskilled labor, and pay lower wages. This study analyzes the sources of productivity difference between informal and formal firms in Turkey. Since the data on the informal sector is likely to be noisy, we use two different approaches to analyze productivity differentials: firm-level analysis and individual-level analysis. In the case of firm-level analysis, we estimate and compare productivity levels of informal and formal firms by using matching propensity score and switching regression methods. In the case of individual-level data, we compare wage differentials between informal and formal wage workers by estimating a multinomial selection model. Our findings indicate that there is a significant productivity gap between informal and formal firms, and a wage gap between informal and formal workers. Moreover, the hypothesis that more educated entrepreneurs and workers move to the formal sector is supported by the data. This process of self-selection contributes to widen the productivity gap between informal and formal firms. The theories of life-cycle and learning are also supported by our findings. Older (i.e., more experienced) firms tend to operate in the formal sector. However, the relationship between informality and age is U-shaped for entrepreneurs and workers. Even after controlling for all these factors (self-selection, differences in endowments, and learning), the productivity gap does not disappear. The findings suggest that there is a substantial but untapped potential to increase productivity in Turkey. The productivity effect of operating formally is higher for services, but we may expect that a large number of informal service firms could not survive if they operate formally.