Research ArticleOpen AccessGoogle Scholar indexed
Information Measures of Wages and Employment: Application to Senegal
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
- 1 Food and Resource Economics Department, University of Florida, Gainesville, FL, USA
- 2 Department of Economics and Management Scienes, Universite Gaston Berger de Saint Louis, Saint Louis, Senegal
- 3 United States Agency for International Development, Washington DC, USA
Applied Mathematics·Volume 07 (2016)·Pages 177–182·Published 24 February 2016·DOI10.4236/am.2016.73017
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Abstract
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.
KeywordsInformation TheoryAgribusiness DevelopmentAgro-ForestryForest ResourcesPoverty Reduction
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