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Linear and Nonlinear Causality between Energy Consumption and Economic Growth: the Case of Mexico 1965-2014
(MDPI, 2018-03-29)
This paper analyzes the causal link between aggregated and disaggregated levels of energy consumption and economic growth in Mexico between 1965 and 2014, with the presence of structural breaks stemming from the series. ...
Is a Small Monte Carlo Analysis a Good Analysis? Checking the Size, Power and Consistency of a Simulation-Based Test
(Springer, 2002)
In this paper we study the relationship between the number of
replications and the accuracy of the estimated quantiles of a distribution
obtained by simulation. A method for testing hypotheses on the quantiles
of a ...
Dataset for the Life Cycle Assessment of the High Speed Rail Network in Spain
(Elsevier, 2021-04-12)
A life cycle assessment (LCA) of the Spanish high speed rail
(HSR) network in service in 2016 (2583 km) was conducted.
Life cycle inventory (LCI) data related to the construction
and maintenance phases of the infrastructure ...
State Aid, EU Maritime Transport Policies and Competitiveness of EU Country Fleets
(Springer Nature, 2021-01-11)
Aim and purposes: This study conducts an across-the-board comparative analysis of the impact of the main measures used by the 10 leading maritime nations of the EU on the relative competitiveness of the fleets that they ...
Cuban inmigrants in the United States: what determines their earnings distribution?
(Universidad de Medellín, 2016-12)
In this paper the conditional earnings distribution of Cuban immigrants in the U.S. using OLS and Quantile Regression is analyzed. The data used in the study come from the 2011 American Com munity Survey (ACS) in the U.S. ...
Preferences, actions and voting rules
(Springer, 2012-03)
In this paper we address several issues related to collective dichotomous decision-making by means of quaternary voting rules, i.e., when voters may choose between four actions: voting yes, voting no, abstaining and not ...
Comparing Bayesian Spatial Conditional Overdispersion and the Besag–York–Mollié Models: Application to Infant Mortality Rates
(MDPI, 2021-01-31)
In this paper, we review overdispersed Bayesian generalized spatial conditional count data models. Their usefulness is illustrated with their application to infant mortality rates from Colombian regions and by comparing ...
Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives
(MDPI, 2020-07-25)
This paper proposes an optimization model for selecting a larger subsample that improves the representativeness of a simple random sample previously obtained from a population larger than the population of interest. The ...
Kalman Filtering in R
(Journal of Statistical Software, 2011-03)
Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general ...
Spanish Customer Satisfaction Indices by Cumulative Panel Data
(2003-07)
In this paper, we present a new theoretical representation of the Consumer Satisfaction Index (CSI) based on Structural Equation Modelling (SEM). We use panel data collected by an automotive magazine to apply our approach ...