The Stochastic Disturbance Specification and its Implications for Log-Linear Regression
Bibliographic Data
| ID | 4138864 |
|---|---|
| Authors | J M Haworth (University of Salford), James Haworth (0000-0001-9506-4266, University of Salford), P J Vincent (Department of Geography, University of Lancaster, Lancaster LA1 4YW, England), Peter Vincent (0000-0002-2641-1874, Lancaster University Ghana) |
| Year | 1979 |
| Volume | 11 |
| Issue | 7 |
| Pages | 781-790 |
| Publication date | 1979-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a110781 |
| OpenAlex | W2058383832 |
| Language | EN |
| Citations received | 14 |
| References cited | 9 |
Model specification is a crucial factor in regression. We show that in log-linear models, although the estimated relationship represents the conditional expectation of ln Y, the antilogarithm does not give the conditional expectation of Y. This has important implications in spatial analysis
Conditional expectation · Econometrics · Linear model · Linear regression · Log-linear model · Polynomial regression · Proper linear model · Regression · Regression analysis · Statistics · Economic and Environmental Valuation · Mathematics · Regional Economic and Spatial Analysis · Spatial and Panel Data Analysis · Applied Mathematics
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| Unique citing works | 14 |
|---|---|
| Citations per year | 0,32 |
| Citation span | 1982 - 2012 (31) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 13 |