Model Averaging in Economics: An Overview

By Enrique Moral-Benito. 2015

226 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/3677687103b25f27a78ed8cba151ba73a6273d3a

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Citations in the corpus

Forecast combinations: An over 50-year review (2022, background): “A second well-known challenge relates to the elicitation of two types of priors (on parameters and models) for many models of interest (Moral-Benito, 2015; Aastveit et al., 2018).”
Meta-Analysis of Present-Bias Estimation using Convex Time Budgets (2019, unknown): “MB, E. (2015): “Model Averaging in Economics: An Overview,” Journal of Economic Surveys, 29, 46–75. O’D, T. M. R (1999): “Doing It Now or Later,” American Economic Review, 89, 103–124. ——— (2001): “Choice and Procrastination,” Quarterly Journal of Economics, 116, 121–160. ——— (2015): “Present Bias:”
Growth slowdowns and the middle-income trap (2013, background): “For instance, Moral-Benito (2012a) extends Bayesian model averaging 28 Or a mix of both.”
The influence of hidden researcher decisions in applied microeconomics (2020, unknown): “Another approach is the use of model averaging, in which multiple possible ways of designing the model are averaged together to produce a result (Moral-Benito, 2015).”
Model Averaging and Its Use in Economics (2017, methodology): “out for an informed use of these methods. This review complements and extends other reviews and discussions; for example by Hoeting et al. (1999) on BMA, Clyde and George (2004) on model uncertainty, Moral-Benito (2015) on model averaging in economics and Wang et al. (2009) on FMA. Dormann et al. (2”
Habit Formation in Consumption: A Meta-Analysis (2017, methodology): “To address this problem we employ Bayesian model averaging (BMA; Raftery et al., 1997; Moral-Benito, 2015)—a method that estimates many regressions consisting of subsets of the potential explanatory variables and weights them by model fit and model complexity.”
Weighted‐Average Least Squares (WALS): A Survey (2016, background): “As discussed in the reviews by Hoeting et al. (1999), Clyde and George (2004), and Moral-Benito (2013), the choice of uninformative priors is one of the most challenging aspects of BMA.”