Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
doaj +3 more sources
OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison [PDF]
BMC Medical Research MethodologyBackground Clustered data arise when observations are correlated within a group or sampling unit and frequently arise in epidemiology, social sciences, education, linguistics, econometrics, and medicine.
Nathaniel Sean O’Connell +1 more
doaj +2 more sources
Journal of Risk and Financial Management, 2020 Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
openaire +5 more sources
EMPLOYMENT RATE AND ECONOMIC GROWTH: THE CASE OF TRANSITION COUNTRIES [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2023 This paper investigates the effects of the employment rate on economic growth during the transition process. We start with the mainstream growth econometrics approach that controls for convergence and, in order to control for heterogeneity of ...
Josip Tica +2 more
doaj +1 more source
A Comparison between Maximum Likelihood and Bayesian Approaches for Estimating the Parameters of Three Spatial Econometrics Models [PDF]
مدلسازی اقتصادسنجی, 2019 Sometimes, in econometrics problems the observations are not independent, so that their dependence is due to the location of observations in the studied space. To analyze these data are used the spatial regression models.
Nahid Ashrafi +2 more
doaj +1 more source
Bayesian Model Averaging with the Integrated Nested Laplace Approximation
Econometrics, 2020 The integrated nested Laplace approximation (INLA) for Bayesian inference is an efficient approach to estimate the posterior marginal distributions of the parameters and latent effects of Bayesian hierarchical models that can be expressed as latent ...
Virgilio Gómez-Rubio +2 more
doaj +1 more source
ECONOMETRICS OF ENVIRONMENTAL VALUATION: THE BAYESIAN INFERENCES ON WILLINGNESS TO PAY ESTIMATIONS [PDF]
Review of Agricultural and Applied Economics, 2019 This study applied the Bayesian approach to estimate people’s willingness to pay (WTP) for mitigation of environmental hazards in oil producing areas in Nigeria.
Inibehe George UKPONG
doaj +1 more source
Media and Communication, 2023 Using the newspaper circulation data collected through the Alliance for Audited Media (n = 1,925 across five years), this study provides the first empirical spatial analysis of newspaper circulation in the US, employing the theoretical framework of ...
Ryan Yang Wang
doaj +1 more source
Comparative Comparison of Factors Affecting Inflation in OPEC and G7 Countries: a hybrid New Keynesian Phillips Curve Approach [PDF]
اقتصاد باثبات, 2021 This study attempts to extract the new keynesian phillips curve for OPEC and G7 countries and compare the factors influencing inflation between the two groups.
Mohammad Hassan Fotros +2 more
doaj +1 more source
On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14
Œconomia, 2014 This paper starts with a brief description of the introduction of the likelihood approach in econometrics as presented in Cowles Foundation Monographs 10 and 14. A sketch is given of the criticisms on this approach mainly from the first group of Bayesian
Nalan BaŞtürk +3 more
doaj +1 more source