Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 8 of 8

Full-Text Articles in Social and Behavioral Sciences

The Impacts Of Walter Isard On Geography, Randall Jackson Jan 2003

The Impacts Of Walter Isard On Geography, Randall Jackson

Regional Research Institute Working Papers

In the course of preparing this paper, which initially focused solely on identifying the impacts of input-output analysis on geography, a much broader perspective on the impacts of Walter Isard on geography ultimately emerged. In the tradition of input-output analysis, these impacts are grouped into direct, indirect, and induced effects, and summarized under the heading of influence. Walter Isard touched the lives of many through personal relationships, books and articles, and an energetic devotion to and enthusiasm for the creation of a regional science association. The Regional Science Association and its publications supported something of a greenhouse environment in which …


State Minimum Wage Laws And The Migration Of The Poor, Brian Cushing Jan 2003

State Minimum Wage Laws And The Migration Of The Poor, Brian Cushing

Regional Research Institute Working Papers

A substantial literature considers migration of the poor, mostly focusing on the relative importance of welfare programs versus labor market opportunities in the migration decisions of the poor. Likewise, a growing literature investigates the effect of changes in the minimum wage on U.S. poverty, focusing exclusively on the federal minimum wage. These two literatures have not intersected to examine how minimum wage laws influence migration decisions of the poor. Real federal minimum wages, minimum wage coverage, and state minimum wage laws all vary spatially. This research investigates the extent to which federal and state minimum wage laws affected migration choices …


Estimating The Impact Of The Local Health Care Sector On A Rural Economy Using An Implan Based Sam, David W. Hughes, Tom Walker Jan 2003

Estimating The Impact Of The Local Health Care Sector On A Rural Economy Using An Implan Based Sam, David W. Hughes, Tom Walker

Regional Research Institute Working Papers

An IMPLAN-based social accounting matrix (SAM) is used to estimate health care sector impacts on the Morgan County (West Virginia) economy. The SAM is a hybrid of the IMPLAN-SAM, which has an inadequate linkage between industry payments to workers and resulting household spending. An income distribution matrix provides this linkage. This matrix is based on the 1990 Census Public Use Microdata dataset for money payments and on a variety of data sources that account for the distribution of non-money income. Output multipliers and results of a local hospital impact scenario are compared between the original and reformulated models.


Economics Of Natural Disasters: A Critical Review, Yasuhide Okuyama Jan 2003

Economics Of Natural Disasters: A Critical Review, Yasuhide Okuyama

Regional Research Institute Working Papers

Significant progress has been made in recent years for modeling spatial economic impacts of disasters in a regional context (for example, Okuyama and Chang eds. Modeling the Spatial Economic Impacts of Disasters, forthcoming). While these advancements are more toward modeling strategies based on conventional frameworks, little has been dealt with the theory on economics of disasters, since the pioneering work by Dacy and Kunreuther (The Economics of Natural Disasters, 1969). In this paper, “The Economics of Natural Disasters” is reviewed and updated for providing a theoretical perspective toward disaster related research. The review is carried our through restructuring the framework …


A Method For Testing Low-Value Spatial Clustering For Rare Diseases, Ge Lin, Tonglin Zhang Jan 2003

A Method For Testing Low-Value Spatial Clustering For Rare Diseases, Ge Lin, Tonglin Zhang

Regional Research Institute Working Papers

This paper proposes a method that tests for the existence of low-value spatial clustering while accounting for the influence of high-value clustering. Although the method was developed in reference to the Tango test, it can be extended to other testing methods. The simulation results showed that the proposed method is able to effectively detect low-value clustering with substantially lower rates of type I errors than those of the Tango test, while maintaining comparable statistical power. Applying the method in a case study of leukemia in Minnesota demonstrated an overall tendency toward low-value clustering of leukemia mortality for males but provided …


A Survey Analysis Of Participation In A Community Forest Management In Nepal, Vishakha Maskey, Tesfa Gebremedhin, Timothy J. Dalton Jan 2003

A Survey Analysis Of Participation In A Community Forest Management In Nepal, Vishakha Maskey, Tesfa Gebremedhin, Timothy J. Dalton

Regional Research Institute Working Papers

The main objective of the study is to determine which socio-economic factors affect levels of individual participation in the “Ludi-damgade” community forest. The empirical evidence for participation as a function of social status is obtained by using an ordered probit model. The model also estimates the marginal effects of socio-economic factors on different levels of participation suggesting how per unit change in such socioeconomic characters affects the level of participation. Results from the two-stage least squares model also verify that participation in forest management determines the level of benefits received from the community forest. The study suggests that participation in …


Are Travel Demand Forecasting Models Biased Because Of Uncorrected Spatial Autocorrelation?, Frank Goetzke Jan 2003

Are Travel Demand Forecasting Models Biased Because Of Uncorrected Spatial Autocorrelation?, Frank Goetzke

Regional Research Institute Working Papers

This paper discusses spatial autocorrelation in mode choice models, including what kind of bias it introduces and how to remedy the problem. The research shows that a spatially autocorrelated mode choice model, not uncommon because of, in terms of transit characteristics homogeneous neighborhoods, systematically overestimates transit trips from suburban transit-unfriendly areas and underestimates transit trips in the transit-friendly city center. Adding a spatial lag term into the model specification avoids the bias, however, it also changes sampling approaches, requires higher quality household forecast data and complicates forecasting.


Alternate Input-Output Matrix Updating Formulations, Randall Jackson, Alan T. Murray Jan 2003

Alternate Input-Output Matrix Updating Formulations, Randall Jackson, Alan T. Murray

Regional Research Institute Working Papers

There has been a recent resurgence of interest in biproportional adjustment methods for updating and interpreting change in matrix representations of regional structures, most commonly input-output accounts. Although the biproportional method, commonly called the RAS technique in the input-output literature, has been shown to have a number of theoretically appealing properties, various alternatives do exist. In this paper, we develop and assess empirically a number of alternatives, comparing performance and examining attributes of these adjustment methods. Two of these are sign-preserving updating methods for use when tables contain both positive and negative entries. One of these is shown to generate …