Discovery Projects - Grant ID: DP180102538

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP180102538

Funding Status
Active

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Funded Activity Summary

Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.

Funded Activity Details

Start Date: 01-01-2018

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $310,501.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Econometric and Statistical Methods | Econometrics

ANZSRC Socio-Economic Objective (SEO)

Economic Framework not elsewhere classified |

Other Keywords

Econometric and Statistical Methods | Econometrics | Economic Framework not elsewhere classified

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