What Can the Duration of Discovered Cartels Tell Us About the Duration of All Cartels
Datos Bibliográficos
| ID | 9713709 |
|---|---|
| Autores | Joseph E Harrington (0000-0002-2686-4021, University of Pennsylvania), Yanhao Wei (0000-0001-6613-5993, University of Southern California) |
| Año | 2017 |
| Volumen | 127 |
| Número | 604 |
| Páginas | 1977-2005 |
| Fecha de publicación | 2017-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | The Economic Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Editorial | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/ecoj.12359 |
| OpenAlex | W3125033413 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 18 |
Estimates of average cartel duration and the annual probability of cartel death are based on data for discovered cartels. It is recognised that these estimates could be biased because the population of discovered cartels may not be a representative sample of the latent population of cartels. This article constructs a birth‐death‐discovery process to investigate the source and direction of possible biases. Bayesian inference is used to provide bounds on the extent of the bias and deliver an improved set of beliefs on the probability of cartel death
Bayesian inference · Bayesian probability · Cartel · Collusion · Duration (music · Econometrics · Economics · Inference · Microeconomics · Population · Sociology · Statistics · Artificial Intelligence · Computer Science · Consumer Market Behavior and Pricing · Demography · Digital Platforms and Economics · Mathematics · Merger and Competition Analysis
| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 0,71 |
| Intervalo de citas | 2019 - 2025 (7) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |