We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte Carlo samples are generated from the model's true structural parameters and a VAR approximation to the reduced form estimated for each sample. We then search for a different set of...

We use all available waves of the Survey of Consumer Finances to document the evolution of the wealth distribution in the US since the 1980s. We then rely on the shape of this distribution to estimate a life-cycle incomplete markets model. We find that considering a wide range of net-worth...

How a cost shock is passed through into final consumer prices may relate to nominal price stickiness and rigidities, the existence of non adjustable cost components, strategic mark-up adjustments, or other contract terms along the supply distribution chain. This paper presents a simple framework...

This paper provides evidence on the relevance of the collection mode for the analysis of consumption data for the United States using complementary data sets from the Consumer Expenditure Surveys (CEX). We first show that population figures from consumption reports obtained with diaries markedly...

We consider estimating volatility risk factors using large panels of filtered or realized volatilities. The data structure involves three types of asymptotic expansions. There is the cross-section of volatility estimates at each point in time, namely i = 1,…, N observed at dates t = 1,…, T:...

This paper describes an algorithm to compute the distribution of conditional forecasts, i.e. projections of a set of variables of interest on future paths of some other variables, in dynamic systems. The algorithm is based on Kalman filtering methods and is computationally viable for large...

This paper examines the impact of endogenous deficit-balancing subsidies on the cost efficiency of local public bus companies by using alternative frontier cost models for panel data. Thereby, the multidimensional performance estimation incorporates the subsidy variable directly. The empirical...

We analyze peer e¤ects in sleeping behavior using a representative sample of U.S. teenagers from the National Longitudinal Survey of Adolescent Health. The sampling design of the survey causes the conventional 2SLS estimator to be inconsistent. We extend the NLS estimator in Wang and Lee...

In this paper we discuss how the forecasting performance of Bayesian VARs is affected by a number of specification choices. In the baseline case, we use a Normal-Inverted Wishart (N-IW) prior that, when combined with a (pseudo-) iterated approach, makes the analytical computation of h-step ahead...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...