Similar Search Results

A comparison of Bayesian and frequentist variable selection methods for estimating average treatment effects in logistic regression

Martinez, Alex H.; Christensen, Brian; Sutton, Elizabeth F. - 2025

forward, backward, and stepwise confounding variable selection estimate the ATE compared to spike-and-slab Bayesian variable …. Overall, results suggest that Bayesian variable selection is more appealing in smaller sample sizes than frequentist variable …

Persistent link: https://www.econbiz.de/10015202692

Flexible mixture-amount models for business and industry using Gaussian processes

Ruseckaite, Aiste; Fok, Dennis; Goos, Peter - 2016

Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...

Persistent link: https://www.econbiz.de/10011531150

Uniform priors for impulse responses

Arias, Jonas E.; Rubio-Ramírez, Juan Francisco; … - 2023

There has been a call for caution when using the conventional method for Bayesian inference in setidentified structural …

Persistent link: https://www.econbiz.de/10014368558

Do fiscal policy and economic growth improve or harm the environment? : an empirical analysis with a Bayesian approach and threshold estimation in one of the emerging and growth-le...

Nguyen Thi My-Linh; Ho, Thi Lam - In: Cogent economics & finance 12 (2024) 1, pp. 1-20

's pollution equation remains unclear. This study uses a Bayesian approach and threshold estimation to quantitatively assess the … Bayesian techniques and threshold estimation, the research highlights the significant role of fiscal policy tools …

Persistent link: https://www.econbiz.de/10015211247

Adaptive mixture of student-t distributions as a flexible Candidate distribution for efficient simulation

Ardia, David; Hoogerheide, Lennart F.; Dijk, Herman K. van - 2008 - Version of this paper: December 12, 2008

distribution. The second shows the relevance of the adaptive mixture procedure through the Bayesian estimation of a mixture of ARCH …

Persistent link: https://www.econbiz.de/10011376537

Density forecasts in panel data models : a semiparametric Bayesian perspective

Liu, Laura - 2018

This paper constructs individual-specific density forecasts for a panel of firms or households using a dynamic linear model with common and heterogeneous coefficients and cross-sectional heteroskedasticity. The panel considered in this paper features a large cross-sectional dimension N but short...

Persistent link: https://www.econbiz.de/10011932215

Consumption and wealth in the long run : an integrated unobserved component approach

Gardberg, Malin; Pozzi, Lorenzo - 2018 - Revision: September 2018

The ratio of consumption to total household wealth (i.e., tangible assets plus unobserved human wealth) is commonly calculated from the estimation of a log-linear version of the household intertemporal budget constraint as a cointegrating relationship between consumption, assets and earnings...

Persistent link: https://www.econbiz.de/10011844588

Bayesian estimation of the GARCH(1,1) model with student-t innovations

Ardia, David; Hoogerheide, Lennart F. - 2010

This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the …

Persistent link: https://www.econbiz.de/10011380176

Uncertainty in the Black-Litterman model : a practical note

Fuhrer, Adrian; Hock, Thorsten - 2019 - Version: July 15, 2019

)), a derivation of the Bayesian methods developed in academia, has particular practical appeal for institutional investors …

Persistent link: https://www.econbiz.de/10012042184

Estimating macro models and the potentially misleading nature of Bayesian estimation

Meenagh, David; Minford, Patrick; Wickens, Michael R. - 2021

We ask whether Bayesian estimation creates a potential estimation bias as compared with standard estimation techniques … treat each in turn as the true model and create Bayesian estimates of it under priors from the true model and its false … alternative. The Bayesian estimation of macro models may thus give very misleading results by placing too much weight on prior …

Persistent link: https://www.econbiz.de/10012624789