Oscar Claveria
Biographic Data
| ID | 269560 |
|---|---|
| NAME | Oscar Claveria |
| GIVEN NAMES | Oscar |
| FAMILY NAME | Claveria |
| SIGNATURE | CLAVERIA O |
| AFFILIATIONS | Universitat de Barcelona |
| ORCID | 0000-0001-9740-1852 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Inequality and net migration in Africa
Bayesian modeling approach for detecting local determinants of the spatial distribution of immigrant communities in large cities
This paper presents a novel approach to identify local determinants of the spatial distribution of international immigrants in big cities. The methodology is based on Bayesian spatial analysis, and it is applied to assess the association of a wide range of variables with the location of the main migrant groups in the Barcelona County. The proposed Bayesian modeling strategy allows addressing spatial dependency and feature selection. Overall, the …
Analysis of the impact of financial and labour uncertainty on suicide mortality in England
This paper examines the relationship between different dimensions of economic uncertainty and suicide rates in England from 1985 to 2020, both in the short and long term. The study employs a non-linear autoregressive distributed lag framework for cointegration estimation. This approach allows testing for the existence of possible asymmetries in the response of suicide mortality to increases in economic uncertainty. Uncertainty is gauged by differ…
Labour market uncertainty after the irruption of Covid-19
This paper examines the evolution of labour market uncertainty after the irruption of the COVID-19 pandemic in European countries. Since uncertainty is not directly observable, we use two alternative methods to directly approximate it. Both approaches are based on qualitative expectations elicited form the consumer survey conducted by the European Commission. On the one hand, following (Dibiasi and Iselin in Empir Econ 61:2113–2141, 2021), we use…
Global economic uncertainty and suicide
Economic uncertainty is a driver of the business cycle. Its leading properties make it a key advanced indicator to assess the impact of socioeconomic factors on suicide for prevention purposes. This paper evaluates the effect of economic uncertainty on suicide rates worldwide. Uncertainty is gauged by a global economic policy uncertainty index. Suicide rates from 183 countries between 2000 and 2019 are matched to annual economic uncertainty, cont…
Economic Uncertainty
A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms
Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators
The present study aims to cluster five Asia Pacific destinations (Cambodia, Hong Kong, Indonesia, the Philippines, and Singapore) with respect to other countries according to the evolution of the main tourism and economic indicators over the period between 2000 and 2014. By assigning a numerical value to each country corresponding to its position, we summarize all the information into two components (“tourism expenditure and profitability of tour…
Global economic uncertainty and suicide
Economic uncertainty is a driver of the business cycle. Its leading properties make it a key advanced indicator to assess the impact of socioeconomic factors on suicide for prevention purposes. This paper evaluates the effect of economic uncertainty on suicide rates worldwide. Uncertainty is gauged by a global economic policy uncertainty index. Suicide rates from 183 countries between 2000 and 2019 are matched to annual economic uncertainty, cont…
A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms
Economic Uncertainty
Two-dimensional mapping of Asia Pacific destinations combining tourism and economic indicators
The present study aims to cluster five Asia Pacific destinations (Cambodia, Hong Kong, Indonesia, the Philippines, and Singapore) with respect to other countries according to the evolution of the main tourism and economic indicators over the period between 2000 and 2014. By assigning a numerical value to each country corresponding to its position, we summarize all the information into two components (“tourism expenditure and profitability of tour…
A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms
Economic Uncertainty
Global economic uncertainty and suicide
Economic uncertainty is a driver of the business cycle. Its leading properties make it a key advanced indicator to assess the impact of socioeconomic factors on suicide for prevention purposes. This paper evaluates the effect of economic uncertainty on suicide rates worldwide. Uncertainty is gauged by a global economic policy uncertainty index. Suicide rates from 183 countries between 2000 and 2019 are matched to annual economic uncertainty, cont…
Labour market uncertainty after the irruption of Covid-19
This paper examines the evolution of labour market uncertainty after the irruption of the COVID-19 pandemic in European countries. Since uncertainty is not directly observable, we use two alternative methods to directly approximate it. Both approaches are based on qualitative expectations elicited form the consumer survey conducted by the European Commission. On the one hand, following (Dibiasi and Iselin in Empir Econ 61:2113–2141, 2021), we use…
Analysis of the impact of financial and labour uncertainty on suicide mortality in England
This paper examines the relationship between different dimensions of economic uncertainty and suicide rates in England from 1985 to 2020, both in the short and long term. The study employs a non-linear autoregressive distributed lag framework for cointegration estimation. This approach allows testing for the existence of possible asymmetries in the response of suicide mortality to increases in economic uncertainty. Uncertainty is gauged by differ…
Inequality and net migration in Africa
Bayesian modeling approach for detecting local determinants of the spatial distribution of immigrant communities in large cities
This paper presents a novel approach to identify local determinants of the spatial distribution of international immigrants in big cities. The methodology is based on Bayesian spatial analysis, and it is applied to assess the association of a wide range of variables with the location of the main migrant groups in the Barcelona County. The proposed Bayesian modeling strategy allows addressing spatial dependency and feature selection. Overall, the …
Economics (6 works) · Econometrics (4 works) · Macroeconomics (3 works) · Unemployment (3 works) · Climate Change and Health Impacts (2 works) · Cointegration (2 works) · Demographic economics (2 works) · Economic indicator (2 works) · Employment and Welfare Studies (2 works) · Geography (2 works)