17 research outputs found
IMPACT OF INDUSTRIALIZATION ON EMPLOYEE INCOME DISTRIBUTION IN RURAL TEXAS COMMUNITIES
Labor and Human Capital,
DEMAND FOR TANF IN MISSISSIPPI
The federal to state devolution of welfare programs accent the need for state and local policy makers to anticipate aggregate welfare demand. Pooled regression analysis using six years of county-level Mississippi TANF data identified effects of rurality, education, unemployment, poverty levels, and family structure on caseload numbers.Food Security and Poverty, Public Economics,
Reducing Food Stamp and Welfare Caseloads in the South: Are Rural Areas Less Likely to Succeed Than Urban Centers?
Oral history with Dr. Lynn L. Reinschmiedt; 5-16-2012
Oral history; interview with Dr. Lynn Reinschmiedt, Professor Emeritus of Agricultural Economics, May 16, 2012, Mitchell Memorial Library, Mississippi State University. Reinschmiedt was born in 1949 in Clinton, Oklahoma. He received both his Bachelor\u27s degree and his Master\u27s degree in Agricultural Economics from Oklahoma State University, in 1971 and 1973, respectively. In 1976, he received his PhD in Agricultural Economics from Texas A&M University. Before coming to MSU in 1977, he spent a year as an Assistant Professor of Agricultural Economics at the University of Delaware. Once at Mississippi State, he served as Assistant, Associate, and Professor of Agricultural Economics. From 2001 until his retirement in 2010, he was the Associate Dean for the College of Agriculture and Life Sciences. Since his retirement, Reinschmiedt has held several positions, including Interim Associate Vice President for Administrative Services in the Office of the Provost, Interim Faculty Credentialing Consultant in the Office of Institutional Research and Effectiveness, and as of this interview\u27s date is Interim Co-Registrar. In this interview, he discusses his years in Lloyd-Ricks, some of the renovations in the 1980s and 1990s, and the people who worked there
RURAL DEVELOPMENT POTENTIALS: A MULTIVARIATE APPROACH
Limited funds available for developing rural industrial or recreation activities demand efficient use. Principal component analysis is demonstrated in selecting significant variables to be used in dis~ criminant analysis. Resulting discriminant coefficients indicate the relative degree of potential each variable contributes toward classifying counties as industrial or recreation ,oriented