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Complementary Bayesian method of moments strategies (replication data)
Methodology is proposed that addresses two problems that arise in application of the generalized method of moments representation of the likelihood in Bayesian inference: (1) a... -
Comparing predictive accuracy in small samples using fixed‐smoothing asymptot...
We consider fixed-smoothing asymptotics for the Diebold and Mariano (Journal of Business and Economic Statistics, 1995, 13(3), 253-263) test of predictive accuracy. We show that... -
Exchange rate predictability and dynamic Bayesian learning (replication data)
We consider how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of vector autoregressive... -
Estimation of average treatment effects using panel data when treatment effec...
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity... -
Mixed causal–noncausal autoregressions with exogenous regressors (replication...
Mixed causal-noncausal autoregressive (MAR) models have been proposed to model time series exhibiting nonlinear dynamics. Possible exogenous regressors are typically substituted... -
Common correlated effects estimation of heterogeneous dynamic panel quantile ...
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common... -
Assessing international commonality in macroeconomic uncertainty and its effe...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and its effects on major economies. We provide evidence of significant... -
Regional output growth in the United Kingdom: More timely and higher frequenc...
Output growth estimates for regions of the UK are currently published at an annual frequency only, released with a long delay, and offer limited historical coverage. To improve... -
Multivariate dynamic intensity peaks‐over‐threshold models (replication data)
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a... -
Modeling the conditional distribution of financial returns with asymmetric ta...
This paper proposes a conditional density model that allows for differing left/right tail indices and time-varying volatility based on the dynamic conditional score (DCS)... -
Estimating and accounting for the output gap with large Bayesian vector autor...
We consider how to estimate the trend and cycle of a time series, such as real gross domestic product, given a large information set. Our approach makes use of the... -
Two are better than one: Volatility forecasting using multiplicative componen...
We examine the properties and forecast performance of multiplicative volatility specifications that belong to the class of generalized autoregressive conditional... -
Hidden group patterns in democracy developments: Bayesian inference for group...
We propose a nonparametric Bayesian approach to estimate time-varying grouped patterns of heterogeneity in linear panel data models. Unlike the classical approach in Bonhomme... -
Two applications of wild bootstrap methods to improve inference in cluster‐IV...
Microeconomic data often have within-cluster dependence, which affects standard error estimation and inference. When the number of clusters is small, asymptotic tests can be... -
Measuring mortgage credit availability: A frontier estimation approach (repli...
We construct a new measure of mortgage credit availability using a technique developed for production frontier estimation. The resulting loan frontier describes the maximum... -
Mostly harmless simulations? Using Monte Carlo studies for estimator selectio...
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show... -
A factor‐augmented vector autoregressive (FAVAR) approach for monetary policy...
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Estimating the U.S. output gap with state‐level data (replication data)
This paper develops a method to estimate the U.S. output gap by exploiting the cross-sectional variation of state-level output and unemployment rate data. The model assumes that... -
Controlling for ability using test scores (replication data)
This paper proposes a semiparametric method to control for ability using standardized test scores, or other item response assessments, in a regression model. The proposed method... -
A robust approach to estimating production functions: Replication of the ACF ...
We study Ackerberg, Caves, and Frazer's (Econometrica, 2015, 83, 2411-2451; hereafter ACF) production function estimation method using Monte Carlo simulations. First, we...
