I estimate DSGE models with recurring regime changes in monetary policy (inflation target and reaction coefficients), technology (growth rate and volatility), and/or nominal price rigidities. In the models, agents are assumed to know deep parameter values but make probabilistic inference...

The derivation of loss distribution from insurance data is a very interesting research topic but at the same time not an easy task. To find an analytic solution to the loss distribution may be mislading although this approach is frequently adopted in the actuarial literature. Moreover, it is...

We extend existing work on the dynamics of labor force participation by distinguishing between full-time and part-time employment and by allowing unobserved heterogeneity in the effects of previous employment outcomes, children and education on labor supply behavior. In addition, unobserved...

In this paper we build an agent-based model based on a threefold financial accelerator: (i) leverage accelerator - negative shocks on firms' output make banks less willing to loan funds, and firms less willing to make investments, hence a credit reduction follows further reducing the output;...

Introduction of inflation targeting has global effects on dynamic of prices and economic growth. In case of a developing country with an increasing remonetization since 2007 – 2008 and modest growing later than 2009 it’s important to assess the adoption of a new regime and how it helps to...

This article tests the Black’s hypothesis in five crisis-affected Asian countries(India, Japan, Malaysia, South Korea, and Thailand). The hypothesis posits that economies face a positive relationship between output growth and output volatility. Using monthly data of the industrial production...

This paper is concerned with the issues that arise in building a small Dynamic Stochastic General Equilibrium (DSGE) model of the Australian economy. Our ultimate objective is to build a model that can be used to study long run economic growth and the business cycle. We agree with Cooley and...

This paper proposes a measure of real-time inflation expectations based on metadata, i.e., data about data, constructed from internet search queries performed on the search engine Google. The forecasting performance of the Google Inflation Search Index (GISI) is assessed relative to 37 other...

This study sheds new light on the question of whether or not sentiment surveys, and the expectations derived from them, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to macroeconomic and financial data. I examine 16...

For decades, the academic literature has focused on three survey measures of expected inflation: the Livingston Survey, the Survey of Professional Forecasters, and the Michigan Survey. While these measures have been useful in developing models of forecasting inflation, the data are low frequency...