Donald E Pursell
Biographic Data
| ID | 6045013 |
|---|---|
| NAME | Donald E Pursell |
| GIVEN NAMES | Donald E |
| FAMILY NAME | Pursell |
| SIGNATURE | PURSELL D E |
| AFFILIATIONS | University of Ibadan |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1970 |
| LATEST PUBLICATION YEAR | 1972 |
| H-INDEX | 2 |
Determinants of male labor mobility
This study is concerned with male labor mobility in 84 urban labor markets. Mobility studies have frequently used employment variables to approximate differential labor demands and to explain mobility. It would seem that supply factors, as well as demand factors, could exert an influence on mobility. To assess the influence of supply factors, new labor force entrants and withdrawals, along with labor demand variables, were regressed against gross…
Improving population estimates with the use of dummy variables
a The ratio correlation method of estimating county population may be improved with the use of dummy variables and stratification to represent county “type.” Unsatisfactory results were derived when the ratio correlation technique was applied to West Virginia counties using only such conventional symptomatic indicators as births, deaths, non-agricultural employment, and automobile registrations, probably due to the relatively unique absolute popu…
Improving population estimates with the use of dummy variables
a The ratio correlation method of estimating county population may be improved with the use of dummy variables and stratification to represent county “type.” Unsatisfactory results were derived when the ratio correlation technique was applied to West Virginia counties using only such conventional symptomatic indicators as births, deaths, non-agricultural employment, and automobile registrations, probably due to the relatively unique absolute popu…
Determinants of male labor mobility
This study is concerned with male labor mobility in 84 urban labor markets. Mobility studies have frequently used employment variables to approximate differential labor demands and to explain mobility. It would seem that supply factors, as well as demand factors, could exert an influence on mobility. To assess the influence of supply factors, new labor force entrants and withdrawals, along with labor demand variables, were regressed against gross…
Improving population estimates with the use of dummy variables
a The ratio correlation method of estimating county population may be improved with the use of dummy variables and stratification to represent county “type.” Unsatisfactory results were derived when the ratio correlation technique was applied to West Virginia counties using only such conventional symptomatic indicators as births, deaths, non-agricultural employment, and automobile registrations, probably due to the relatively unique absolute popu…
Determinants of male labor mobility
This study is concerned with male labor mobility in 84 urban labor markets. Mobility studies have frequently used employment variables to approximate differential labor demands and to explain mobility. It would seem that supply factors, as well as demand factors, could exert an influence on mobility. To assess the influence of supply factors, new labor force entrants and withdrawals, along with labor demand variables, were regressed against gross…
Population (2 works) · Census and Population Estimation (1 work) · Demographic economics (1 work) · Demography (1 work) · Demography (1 work) · Differential (mechanical device (1 work) · Econometrics (1 work) · Economic and Environmental Valuation (1 work) · Economics (1 work) · Geographic mobility (1 work)