Máximo Camacho
Biographic Data
| ID | 6030711 |
|---|---|
| NAME | Máximo Camacho |
| GIVEN NAMES | Máximo |
| FAMILY NAME | Camacho |
| SIGNATURE | CAMACHO M |
| AFFILIATIONS | Universidad de Murcia |
| ORCID | 0000-0003-3158-5614 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Does tourism reduce income inequality
Investigating the impact of tourism on inequality, we employ a panel Autoregressive Distributed Lag model. With data from 1995 to 2020 across 120 countries, our Pooled Mean Group estimation reveals a positive impact. Interestingly, divergent patterns emerge when examining developed and developing countries separately. In the long run, tourism is associated with reduced inequality in developed countries but increased inequality in developing ones.…
A New Approach to Forecasting the Probability of Recessions after the Covid‐19 Pandemic
Standard recession forecasting based on economic indicators has become unsettled due to COVID‐19 pandemic's limited but influential data. This paper proposes a new non‐parametric approach to computing predictive probabilities of future recessions that is robust to influential observations and other data irregularities. The method simulates forecasts using past data histories embedded into a symbolic space. Then, the forecasts are converted into p…
Quantifying the impact
We propose a methodological framework to assess the causal impact of Harmful Algal Bloom (HAB) events on economic indicators at a territorial level, with special consideration for spatial effects. Using the Mar Menor region in Spain as a case study, we empirically apply our framework. Our findings indicate a significantly negative causal effect of marine pollution resulting from HAB events on income per capita at the census section level. We obse…
Tourism and Gross Domestic Product short-run causality revisited
We employ a symbolic transfer entropy panel data test in a large-scale data set to provide new insights on the worldwide short-term causality relations between growth and inbound tourists. Using a large data set on 145 countries from the World Bank Open Data website, we show that, despite the evidently strong correlation between these two magnitudes, claiming that the increases in inbound tourists Granger-cause positive shocks in GDP is not suppo…
A dynamic factor model to predict homicides with firearm in the United States
A New Approach to Dating the Reference Cycle
This article proposes a new approach to the analysis of the reference cycle turning points, defined on the basis of the specific turning points of a broad set of coincident economic indicators. Each individual pair of specific peaks and troughs from these indicators is viewed as a realization of a mixture of an unspecified number of separate bivariate Gaussian distributions whose different means are the reference turning points. These dates break…
Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive Models
We derive a statistical theory that provides useful asymptotic approximations to the distributions of the single inferences of filtered and smoothed probabilities, derived from time series characterized by Markov-switching dynamics. We show that the uncertainty in these probabilities diminishes when the states are separated, the variance of the shocks is low, and the time series or the regimes are persistent. As empirical illustrations of our app…
Quantifying the impact
We propose a methodological framework to assess the causal impact of Harmful Algal Bloom (HAB) events on economic indicators at a territorial level, with special consideration for spatial effects. Using the Mar Menor region in Spain as a case study, we empirically apply our framework. Our findings indicate a significantly negative causal effect of marine pollution resulting from HAB events on income per capita at the census section level. We obse…
Inference on Filtered and Smoothed Probabilities in Markov-Switching Autoregressive Models
We derive a statistical theory that provides useful asymptotic approximations to the distributions of the single inferences of filtered and smoothed probabilities, derived from time series characterized by Markov-switching dynamics. We show that the uncertainty in these probabilities diminishes when the states are separated, the variance of the shocks is low, and the time series or the regimes are persistent. As empirical illustrations of our app…
A New Approach to Dating the Reference Cycle
This article proposes a new approach to the analysis of the reference cycle turning points, defined on the basis of the specific turning points of a broad set of coincident economic indicators. Each individual pair of specific peaks and troughs from these indicators is viewed as a realization of a mixture of an unspecified number of separate bivariate Gaussian distributions whose different means are the reference turning points. These dates break…
Tourism and Gross Domestic Product short-run causality revisited
We employ a symbolic transfer entropy panel data test in a large-scale data set to provide new insights on the worldwide short-term causality relations between growth and inbound tourists. Using a large data set on 145 countries from the World Bank Open Data website, we show that, despite the evidently strong correlation between these two magnitudes, claiming that the increases in inbound tourists Granger-cause positive shocks in GDP is not suppo…
A dynamic factor model to predict homicides with firearm in the United States
A New Approach to Forecasting the Probability of Recessions after the Covid‐19 Pandemic
Standard recession forecasting based on economic indicators has become unsettled due to COVID‐19 pandemic's limited but influential data. This paper proposes a new non‐parametric approach to computing predictive probabilities of future recessions that is robust to influential observations and other data irregularities. The method simulates forecasts using past data histories embedded into a symbolic space. Then, the forecasts are converted into p…
Quantifying the impact
We propose a methodological framework to assess the causal impact of Harmful Algal Bloom (HAB) events on economic indicators at a territorial level, with special consideration for spatial effects. Using the Mar Menor region in Spain as a case study, we empirically apply our framework. Our findings indicate a significantly negative causal effect of marine pollution resulting from HAB events on income per capita at the census section level. We obse…
Does tourism reduce income inequality
Investigating the impact of tourism on inequality, we employ a panel Autoregressive Distributed Lag model. With data from 1995 to 2020 across 120 countries, our Pooled Mean Group estimation reveals a positive impact. Interestingly, divergent patterns emerge when examining developed and developing countries separately. In the long run, tourism is associated with reduced inequality in developed countries but increased inequality in developing ones.…
Econometrics (6 works) · Economics (6 works) · Mathematics (5 works) · Statistics (4 works) · Computer Science (3 works) · Energy, Environment, Economic Growth (3 works) · Geography (3 works) · Monetary Policy and Economic Impact (3 works) · Autoregressive model (2 works) · Financial Risk and Volatility Modeling (2 works)