Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Gentrification Analysis× | Модель гедонистического ценообразования× | |
|---|---|---|
| Область≠ | Urban Studies | Экономика |
| Семейство≠ | Process / pipeline | Regression model |
| Год появления≠ | 1979 | 1974 |
| Автор метода≠ | Ruth Glass (term, 1964); Neil Smith (rent-gap theory) | Sherwin Rosen |
| Тип≠ | Pipeline for detecting and measuring neighbourhood socioeconomic upgrading and displacement | Revealed preference valuation method |
| Основополагающий источник≠ | Smith, N. (1979). Toward a theory of gentrification: A back to the city movement by capital, not people. Journal of the American Planning Association, 45(4), 538–548. DOI ↗ | Rosen, S. (1974). Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, 82(1), 34–55. DOI ↗ |
| Другие названия≠ | Gentrification Measurement, Neighbourhood Upgrading Analysis, Rent Gap Analysis, Displacement Risk Analysis | Hedonic Regression, Characteristics Pricing Model |
| Связанные≠ | 4 | 3 |
| Сводка≠ | Gentrification analysis is the set of methods used to detect, measure, and map the process by which a previously disinvested, lower-income neighbourhood is upgraded through an influx of capital and higher-status residents, often displacing the existing population. It typically combines repeated small-area census data on income, education, tenure, and rents with housing-market indicators to compute change indices that flag where socioeconomic status is rising fastest. Grounded in Neil Smith's 1979 rent-gap theory, the analysis frames gentrification as the reinvestment of capital in places where the gap between actual and potential land rent has grown large enough to be profitable. | The hedonic pricing model, developed by Sherwin Rosen in 1974 and building on Kevin Lancaster's characteristics theory (1966), is an econometric method for valuing the implicit prices of product attributes by regressing market prices on observed characteristics. It reveals the trade-offs consumers are willing to make among product features and can be used to infer valuations of environmental amenities (e.g., air quality via house prices) and to adjust price indices for quality changes. |
| ScholarGateНабор данных ↗ |
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