The Determinants of Female Labor Force Participation

Abstract

The female labor participation is recently considered as one of the factors leading to economic development in developing countries by amplifying total labor force as qualitative and quantitative. In this study, the authors investigate the factors affecting female labor participation in developing countries, applying panel data model for 83 developing countries over the period of 1990-2014. Empirical results indicate that u-shaped and incompatibility hypotheses are valid in the developing countries. Additionally, improving education levels and increasing male participation in labor markets lead women to more participate in labor markets. These results show the importance of enhancing education level and therefore the policies towards providing it.

19 ve 20. Yüzyılda Teke Sancağı nda Bazı Salgın Hastalıklara Dair Bulgular

“…Çiçek ise her an vardı. Bu afet, mezarlıkları dolduruyor, henüz vurmadıklarını da dehşetten titretiyordu 69 . Öyle ki hastalıkla mücadele edip hayatta kalanlara bakıldığında hastalığa bağışıklık kazanmış olmalarına rağmen birçoğunun ciltlerinde hasarlar meydana geldiği ve gözlerini kaybettikleri görülmüştür 70 .…”

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

“…Journal Pre-proof When some measurements are missing, the forecasting accuracy is generally offset by gathering data over long horizons. In literature, interpolation, Kalman filters, persistence, WMA, random sample approaches are frequently used in the imputation process [57]. In this study, the missing data are filled with a simple WMA approach for imputation.…”

“…In the WMA method, each of the missing values is filled with the mean of the k-observation, which is a window of data samples on both sides of the missing value [57].…”

Mental Health and Wealth: Depression, Gender, Poverty, and Parenting

“…Current evidence indicates that all major racial and ethnic groups have reductions in employment associated with poor mental health (Demirhan & Demirhan 2019). Additionally, most of the research cited in this review is based on interventions in and policies of the United States.…”