摘要
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.
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.
作者
Charles B. Moss
Samba Mbaye
James F. Oehmke
Charles B. Moss;Samba Mbaye;James F. Oehmke(Food and Resource Economics Department, University of Florida, Gainesville, FL, USA;Department of Economics and Management Scienes, Universite Gaston Berger de Saint Louis, Saint Louis, Senegal;United States Agency for International Development, Washington DC, USA)
