Estimating dynamic localization economies
The inadvertent success of the specialization index and the location quotient
Datos Bibliográficos
| ID | 10406366 |
|---|---|
| Autores | Andrea Fracasso (0000-0003-1581-8481, University of Trento), Giuseppe Vittucci Marzetti (0000-0003-3093-8000, University of Milano-Bicocca, autor de correspondencia) |
| Año | 2017 |
| Volumen | 52 |
| Número | 1 |
| Páginas | 119-132 |
| Fecha de publicación | 2017-03-22 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Regional Studies (JOURNAL) |
| Identificadores de la revista | ISSN: 0034-3404 • E-ISSN: 1360-0591 |
| Editorial | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/00343404.2017.1281388 |
| OpenAlex | W2602969754 |
| Idioma | EN |
| Citas recibidas | 10 |
| Referencias citadas | 45 |
Estimating dynamic localization economies: the inadvertent success of the specialization index and the location quotient. Regional Studies. After addressing definitional issues on the concepts of concentration and specialization, the paper reviews the justifications for and the interpretation of some indicators of localization economies used in the empirical literature on agglomeration economies: specialization indexes and location quotients. A simulation exercise shows under what conditions certain specifications lead to biased estimations of dynamic localization (Marshall–Arrow–Romer – MAR) externalities. The results suggest that applied researchers can choose between the size of the local industry, the specialization index and the location quotient to proxy for these externalities as far as they also encompass a correct proxy for the size of the local economy
Arrow · Econometrics · Economic base analysis · Economic geography · Economics · Economies of agglomeration · Economy · Externality · Herfindahl index · Index (typography · Microeconomics · Proxy (statistics · Quotient · Statistics · Computer Science · Fiscal Policy and Economic Growth · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
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| Obras citantes distintas | 10 |
|---|---|
| Citas por año | 2,5 |
| Intervalo de citas | 2022 - 2026 (5) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 10 |