This work is a PhD dissertation, written at the Department of Economics, McGill University. The thesis offers a new framework for inflation as a process of restructuring. Contrary to existing theories of inflation, which tend to take structure and institutions as given for the purpose of...

In diesem Beitrag zeigen wir, dass theoretische und technologische Aussagensysteme zwei eigenständige Forschungszweige darstellen und damit die Notwendigkeit erwächst, eine eigene Methodologie technologischer Aussagensysteme zu entwerfen. Wir stellen erste Ansatzpunkte vor, wie eine solche...

Using Bayesian maximum likelihood and data for Portugal, I estimate a New Keynesian DSGE model allowing for the presence of non-Ricardian households and test the stability of the model's prediction when the fraction of liquidity-constrained households changes. In particular, I assess the impacts...

This paper addresses the estimation of the nonparametric conditional moment restricted model that involves an infinite-dimensional parameter g0. We estimate it in a quasi-Bayesian way, based on the limited information likelihood, and investigate the impact of three types of priors on the...

Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag (ADL) model is chosen. The results show that a...

This chapter proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH-type models. The emphasis is put on a novel efficient procedure named AdMitIS. The methodology automatically constructs a mixture of Student-t distributions as an approximation to...

This paper discusses regression models with aggregated covariate data. Reparameterized likelihood function is found to be separable when one endogenous variable corresponds to one instrument. In that case, the full-information maximum likelihood estimator has an analytic form, and thus...

In this paper, we empirically investigate the dynamics of the marginal propensity to pirate for computer software. We introduce a state space formulation that allows us to estimate error structures and parameter significance, in contrast to previous work. For data from 1987-92, we find a rising...