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Optimal Control of Heteroscedastic Macroeconomic Models (replication data)
This paper analyses the implications of heteroscedasticity for optimal macroeconomic policy and welfare. We find that changes in the variance structure driven by exogenous... -
Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Ma...
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... -
A Cost System Approach to the Stochastic Directional Technology Distance Func...
This paper offers a methodology to address the endogeneity of inputs in the directional technology distance function (DTDF)-based formulation of banking technology which... -
Forecasting Consumption: the Role of Consumer Confidence in Real Time with ma...
We study the role of consumer confidence in forecasting real personal consumption expenditure, and contribute to the extant literature in three substantive ways. First, we... -
Nonlinear Granger Causality: Guidelines for Multivariate Analysis (replicatio...
We propose an extension of the bivariate nonparametric Diks-Panchenko Granger non-causality test to multivariate settings. We first show that the asymptotic theory for the... -
Combining Time Variation and Mixed Frequencies: an Analysis of Government Spe...
In this paper, we propose a time-varying parameter vector autoregression (VAR) model with stochastic volatility which allows for estimation on data sampled at different... -
Outlier-Robust Bayesian Multinomial Choice Modeling (replication data)
A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives... -
On the Importance of Sectoral and Regional Shocks for Price-Setting (replicat...
We use novel disaggregate sectoral-regional euro-area data to investigate the sources of price changes, introducing a new method to extract factors from overlapping data blocks...
