This paper develops an information theoretic estimator of wage and employment shifts that provides quantification of and inference about type of employment (full time, part time, seasonal, unemployed) and industry sha...This paper develops an information theoretic estimator of wage and employment shifts that provides quantification of and inference about type of employment (full time, part time, seasonal, unemployed) and industry share of employment. It is applied to determine the effects of two United States Agency for International Development (USAID) projects on employment in villages in the Tambacounda and Kedougou provinces in Senegal. The projects support the development of local forest-based production and processing industries. The results demonstrate statistically significant and positive effects on employment and the industry composition of employment.展开更多
文摘This paper develops an information theoretic estimator of wage and employment shifts that provides quantification of and inference about type of employment (full time, part time, seasonal, unemployed) and industry share of employment. It is applied to determine the effects of two United States Agency for International Development (USAID) projects on employment in villages in the Tambacounda and Kedougou provinces in Senegal. The projects support the development of local forest-based production and processing industries. The results demonstrate statistically significant and positive effects on employment and the industry composition of employment.
