Statistics and Probability Commons^™

Counting The Impossible: Sampling And Modeling To Achieve A Large State Homeless Count, Jennifer L. Priestley, Jane Massey

Faculty and Research Publications

Objective: Using inferential statistics, we develop estimates of the homeless population of a geographically large and economically diverse state -- Georgia.

Methods: Multiple independent data sources (2000 U.S. Census, the 2006 Georgia County Guide, Georgia Chamber of Commerce) were used to develop Clusters of the 150 Georgia Counties. These clusters were used as "strata" to then execute traified sampling. Homeless counts were conducted within the sample counties, allowing for multiple regression models to be developed to generate predictions of homeless persons by county.

Results: In response to a mandate from the US Department of Housing and Urban Development, the State …

The Location Decisions Of Foreign Investors In China: Untangling The Effect Of Wages Using A Control Function Approach, Xuepeng Liu, Mary E. Lovely, Jan Ondrich

Faculty and Research Publications

There is almost no support for the proposition that capital is attracted to low wages from firm-level studies. We examine the location choices of 2,884 firms investing in China between 1993 and 1996 to offer two main contributions. First, we find that the location of labor-intensive activities is highly elastic to provincial wage differences. Generally, investors' wage sensitivity declines as the skill intensity of the industry increases. Second, we find that unobserved location-specific attributes exert a downward bias on estimated wage sensitivity. Using a control function approach, we estimate a downward bias of 50% to 90% in wage coefficients estimated …

Municipal Capital Maintenance And Fiscal Distress, Mary K. Bumgarner, Jorge Martinez-Vazques, David L. Sjoquist

Faculty and Research Publications

This paper formalizes and empirically tests the hypothesis that the deficient maintenance of public infrastructure is caused by fiscal distress. We utilize a production-decision framework in which public officials combine maintenance and new capital to produce a desired level of capital services. The behavior implied in the fiscal distress hypothesis is treated as perverse deviations from the optimal production path. The empirical findings from cross-sectional expenditures data give support to the fiscal distress hypothesis.

Linear And Nonlinear Appraisal Models, Billie Ann Brotman

Faculty and Research Publications

In this article, the author uses nonlinear models to forecast the value of four important housing characteristics. The article explains, for example, that each additional bedroom does not add a set incremental dollar figure to the value of a house. The results suggest that nonlinear models predict housing values better than linear ones.