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 t ....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.Read moreRead less
Reliability of purchasing power parities from the World Bank. This project aims to provide an econometric framework to estimate purchasing power parities (PPPs) and a method to compute standard errors associated with the World Bank’s International Comparison Programme (ICP)’s PPPs. The ICP regularly compiles and publishes estimates of PPPs of currencies and real incomes. These results are used for study of global inequality and poverty; macroeconomic analysis; the Human Development Index; and cr ....Reliability of purchasing power parities from the World Bank. This project aims to provide an econometric framework to estimate purchasing power parities (PPPs) and a method to compute standard errors associated with the World Bank’s International Comparison Programme (ICP)’s PPPs. The ICP regularly compiles and publishes estimates of PPPs of currencies and real incomes. These results are used for study of global inequality and poverty; macroeconomic analysis; the Human Development Index; and cross-country productivity comparisons. However, no estimates of ICP PPPs’ reliability are available. Results from this project are likely to improve the quality of widely used data sets including the Penn World Tables and the University of Queensland International Comparison Database relevant to banking.Read moreRead less