City Manager Turnover Revisited
Effects of the Institutional Structure and Length of Tenure on City Manager Turnover
Datos Bibliográficos
| ID | 6405150 |
|---|---|
| Autores | In Won Lee (University of Seoul, South Korea), Inwon Lee (0000-0001-7975-8225, University of Seoul), Youngmi Lee (0000-0002-2456-4578, Kyonggi University, Suwon, South Korea, autor de correspondencia) |
| Año | 2021 |
| Volumen | 57 |
| Número | 2 |
| Páginas | 552-582 |
| Fecha de publicación | 2021-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Urban Affairs Review (JOURNAL) |
| Identificadores de la revista | ISSN: 1078-0874 • E-ISSN: 1552-8332 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1078087419869544 |
| OpenAlex | W2972555503 |
| Idioma | EN |
| Citas recibidas | 10 |
| Referencias citadas | 27 |
This study attempts to test a well-known model of city manager turnover. We use a Binary TSCS (Time-Series Cross-Section) analysis to address the problem of duration dependence, which typically occurs when the assumption is that a turnover decision at a certain point of time is entirely independent of previous decisions in the turnover data. In essence, manager turnover should be understood not as a single event at a given point in time but rather as being affected by the duration of tenure. Our empirical analysis of turnover data from 156 large cities in the United States for the period 1984–1999 indicate that, particularly when the length of manager tenure was controlled for, political push factors had significant effects on city manager turnover that were not detected by means of the ordinary logit analysis. The result on time duration suggests that longer tenure can reduce the likelihood of city manager turnover
Business · Demographic economics · Duration (music · Econometrics · Economics · Labour economics · Logit · Management · Panel data · Point (geometry · Turnover · Local Government Finance and Decentralization · Mathematics · Public Policy and Administration Research · Spatial and Panel Data Analysis
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| Obras citantes distintas | 10 |
|---|---|
| Citas por año | 1,67 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 10 |