Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


ucin1123695206.pdf (2.03 MB)

ETD Abstract Container

Abstract Header

Understanding the Relationships Between Economic & Demographic Variables Using the REMI-EDFS Model: A Case Study of Hamilton County, Ohio

Barbhaya, Surabhi Dhaval
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123695206

Abstract Details

2005, MCP, University of Cincinnati, Design, Architecture, Art and Planning : Community Planning.
Population projections are used by various planning agencies to formulate policies and to do other projections such as transportation, economic, and school enrollment projections. There is a large body of literature available on various methods that are used by the planning agencies to project population. Projections based on the most commonly used trend extrapolation, cohort component and ratio models predict that the population of Hamilton County will decline continuously until year 2030. These projected population figures can have serious social and economic implications on the development of Hamilton County. Hamilton County Regional Planning Commission (HCRPC) has recently acquired an Economic Demographic Forecasting and Simulation Model from Regional Economic Model Inc., (commonly called the REMI-EDFS model). According to the baseline projections by REMI-EDFS model, Hamilton County’s population will decline until the year 2012 and will start increasing after this point. This research is an attempt to explore the internal dynamics of this model, in order to understand the reasons for this population upturn to occur. The equations related to population changes were studied and a flowchart was constructed to depict the affects of demographic and economic variables on total population. The data from baseline projections, done by using REMI-EDFS model, were downloaded and charts were plotted against time (2001-2020). The trends were observed and it was found that economic in-migration will be the main cause for population upturn to occur in 2012 and the reason for economic in-migration will be the relatively high employment opportunity and wage rate of Hamilton County.
Rainer vom Hofe (Advisor)
88 p.
Demographic Projection; REMI Model; Hamilton County Regional Planning Commission; Economic and Demographic Forcasting Model; Hamilton County; Population; Economic Variables; Demographic Variables

Recommended Citations

Citations

  • Barbhaya, S. D. (2005). Understanding the Relationships Between Economic & Demographic Variables Using the REMI-EDFS Model: A Case Study of Hamilton County, Ohio [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123695206

    APA Style (7th edition)

  • Barbhaya, Surabhi. Understanding the Relationships Between Economic & Demographic Variables Using the REMI-EDFS Model: A Case Study of Hamilton County, Ohio. 2005. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123695206.

    MLA Style (8th edition)

  • Barbhaya, Surabhi. "Understanding the Relationships Between Economic & Demographic Variables Using the REMI-EDFS Model: A Case Study of Hamilton County, Ohio." Master's thesis, University of Cincinnati, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123695206

    Chicago Manual of Style (17th edition)

ucin1123695206
1,483
© 2005, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.