One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asymptotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asympotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

This paper considers inference in log-linearized dynamic stochastic general equilibrium (DSGE) models with weakly (including un-) identified parameters. The framework allows for analysis using only part of the spectrum, say at the business cycle frequencies. First, we characterize weak...

Several recent studies have expressed concern that the Haar prior typically imposed in estimating sign-identified VAR models may be unintentionally informative about the implied prior for the structural impulse responses. This question is indeed important, but we show that the tools that have...

This paper employs regression discontinuity design to estimate the impact of heating modes on residents’ energy consumption, energy efficiency gap, and energy usage behavior, using the Chinese Residential Energy Consumption Survey (CRECS). We find that district heating increases total energy...

In this paper, we propose a commodity pricing model that extends Gibson-Schwartz two-factor model to incorporate the effect of linear relations among commodity prices, which include co-integration under certain conditions. We derive futures and call option pricing formulae, and show that unlike...