Mauro Costantini
Biographic Data
| ID | 5919720 |
|---|---|
| NAME | Mauro Costantini |
| GIVEN NAMES | Mauro |
| FAMILY NAME | Costantini |
| SIGNATURE | COSTANTINI M |
| AFFILIATIONS | Brunel University of London |
| ORCID | 0000-0002-6991-5159 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Bayesian Nonparametric Panel Markov-Switching GARCH Models
This article proposes Bayesian nonparametric inference for panel Markov-switching GARCH models. The model incorporates series-specific hidden Markov chain processes that drive the GARCH parameters. To cope with the high-dimensionality of the parameter space, the article assumes soft parameter pooling through a hierarchical prior distribution and introduces cross sectional clustering through a Bayesian nonparametric prior distribution. An MCMC pos…
Do inequality, unemployment and deterrence affect crime over the long run
Do inequality, unemployment and deterrence affect crime over the long run? Regional Studies. This paper investigates the long-run relationship between crime, inequality, unemployment and deterrence using US state-level data from 1978 to 2013. The novelty is to use non-stationary panels with a factor structure. The results show that: (1) a crime-theoretical model fits the long-run relationship well; (2) income inequality and unemployment have a po…
Do inequality, unemployment and deterrence affect crime over the long run
Do inequality, unemployment and deterrence affect crime over the long run? Regional Studies. This paper investigates the long-run relationship between crime, inequality, unemployment and deterrence using US state-level data from 1978 to 2013. The novelty is to use non-stationary panels with a factor structure. The results show that: (1) a crime-theoretical model fits the long-run relationship well; (2) income inequality and unemployment have a po…
Do inequality, unemployment and deterrence affect crime over the long run
Do inequality, unemployment and deterrence affect crime over the long run? Regional Studies. This paper investigates the long-run relationship between crime, inequality, unemployment and deterrence using US state-level data from 1978 to 2013. The novelty is to use non-stationary panels with a factor structure. The results show that: (1) a crime-theoretical model fits the long-run relationship well; (2) income inequality and unemployment have a po…
Bayesian Nonparametric Panel Markov-Switching GARCH Models
This article proposes Bayesian nonparametric inference for panel Markov-switching GARCH models. The model incorporates series-specific hidden Markov chain processes that drive the GARCH parameters. To cope with the high-dimensionality of the parameter space, the article assumes soft parameter pooling through a hierarchical prior distribution and introduces cross sectional clustering through a Bayesian nonparametric prior distribution. An MCMC pos…
Mathematics (2 works) · Affect (linguistics (1 work) · Artificial Intelligence (1 work) · Autoregressive conditional heteroskedasticity (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Computer Science (1 work) · Crime Patterns and Interventions (1 work) · Crime, Illicit Activities, and Governance (1 work) · Criminology (1 work)