C22 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
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Markov‐Switching Three‐Pass Regression Filter
We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. -
Heterogeneity in the Dynamic Effects of Uncertainty on Investment
How does aggregate profit uncertainty influence investment activity at the firm level? We propose a parsimonious adaptation of a factor-autoregressive conditional heteroscedasticity model to exploit information in a subindustry sales panel for an efficient and tractable estimation of aggregate volatility. -
The Propagation of Industrial Business Cycles
This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling. -
Which Parametric Model for Conditional Skewness?
This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values. -
Money Market Rates and Retail Interest Regulation in China: The Disconnect between Interbank and Retail Credit Conditions
Interest rates in China are composed of a mix of both market-determined interest rates (interbank rates and bond yields), and regulated interest rates (retail lending and deposit rates), reflecting China’s gradual process of interest rate liberalization. -
International Capital Flows and Bond Risk Premia
This paper studies the impact of international capital flows on asset prices through risk premia. We investigate whether foreign purchases of U.S. Treasury securities significantly contributed to the decline in excess returns on long-term bonds between 1995 and 2008. -
A Consistent Test for Multivariate Conditional Distributions
We propose a new test for a multivariate parametric conditional distribution of a vector of variables yt given a conditional vector xt. -
Real Time Detection of Structural Breaks in GARCH Models
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time. -
Futures Markets, Oil Prices and the Intertemporal Approach to the Current Account
The intertemporal approach to the current account suggests modeling movements in the current account in a forward-looking, dynamic framework. In this framework, the current account reflects consumption smoothing of agents that lend and borrow from the rest of the world in the face of transitory shocks to income. -
Empirical Likelihood Block Bootstrapping
Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated.