Robin A Dubin
Biographic Data
| ID | 6010167 |
|---|---|
| NAME | Robin A Dubin |
| GIVEN NAMES | Robin A |
| FAMILY NAME | Dubin |
| SIGNATURE | DUBIN R A |
| AFFILIATIONS | Wayne State University |
| ORCID | 0000-0001-9269-4561 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 30 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 1992 |
| H-INDEX | 3 |
Spatial autocorrelation and neighborhood quality
Sample Stratification with Non-Nested Alternatives
Econometric analysis often addresses model misspecification due to the improper pooling of observations. One major problem in testing for improper pooling is the requirement that alternative stratifications be obtained from others through sets of restrictions (i.e., that they be nested stratifications), thus eliminating a large class of alternative non-nested stratifications. We propose that non-nested tests can be used to compare non-nested stra…
Specification of hedonic regressions
Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms
Spatial autocorrelation occurs when population members are related through their geographic location. This paper presents a maximum likelihood procedure for simultaneously estimating the parameters of the correlation function and the regression coefficients. A test for the presence of spatial autocorrelation is also provided. Estimation of an hedonic regression illustrates the technique. Copyright 1988 by MIT Press
Spatial Variation in the Price of Housing
Transportation costs and the residential location decision
Valuation of education and crime neighborhood characteristics through hedonic housing prices
Valuation of education and crime neighborhood characteristics through hedonic housing prices
Transportation costs and the residential location decision
Spatial Variation in the Price of Housing
Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms
Spatial autocorrelation occurs when population members are related through their geographic location. This paper presents a maximum likelihood procedure for simultaneously estimating the parameters of the correlation function and the regression coefficients. A test for the presence of spatial autocorrelation is also provided. Estimation of an hedonic regression illustrates the technique. Copyright 1988 by MIT Press
Sample Stratification with Non-Nested Alternatives
Econometric analysis often addresses model misspecification due to the improper pooling of observations. One major problem in testing for improper pooling is the requirement that alternative stratifications be obtained from others through sets of restrictions (i.e., that they be nested stratifications), thus eliminating a large class of alternative non-nested stratifications. We propose that non-nested tests can be used to compare non-nested stra…
Specification of hedonic regressions
Spatial autocorrelation and neighborhood quality
Economics (7 works) · Housing Market and Economics (6 works) · Econometrics (5 works) · Mathematics (5 works) · Statistics (5 works) · Computer Science (4 works) · Economic and Environmental Valuation (4 works) · Spatial and Panel Data Analysis (4 works) · Autocorrelation (2 works) · Data mining (2 works)