TY - DATA T1 - replicating-the-results-in-a-new-model-of-trend-inflation-using-particle-markov-chain-monte-carlo AU - Nonejad, Nima DO - doi:10.15456/jae.2022326.0700407740 AB - An article by Chan et al. (2013) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to evolve according to a bounded random walk. In order to draw the latent states from their respective conditional posteriors, they use accept-reject Metropolis-Hastings procedures. We reproduce their results using particle Markov chain Monte Carlo (PMCMC), which approaches drawing the latent states from a different technical point of view by relying on combining Markov chain Monte Carlo and sequential Monte Carlo methods. To conclude: we are able to reproduce the results of Chan et al. (2013). ET - 1 PY - 2016 PB - ZBW - Leibniz Informationszentrum Wirtschaft UR - https://journaldata.zbw.eu/dataset/replicating-the-results-in-a-new-model-of-trend-inflation-using-particle-markov-chain-monte-carlo ER -