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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... -
Order‐invariant tests for proper calibration of multivariate density forecast...
Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of... -
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... -
Comovements in the real activity of developed and emerging economies: A test ...
Although globalization has shaped the world economy in recent decades, emerging economies have experienced impressive growth compared to developed economies, suggesting specific... -
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... -
The shale revolution and shifting crude dynamics (replication data)
Oil price fluctuates in response to both demand and supply shocks. This paper proposes a new methodology that allows for timely identification of the shifting contribution from... -
Estimation of a dynamic stochastic frontier model using likelihood‐based appr...
This paper considers a panel stochastic production frontier model that allows the dynamic adjustment of technical inefficiency. In particular, we assume that inefficiency... -
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... -
The effect of oil supply shocks on US economic activity: What have we learned...
Estimated responses of real oil prices and US gross domestic product (GDP) to oil supply disruptions vary widely. We show that most variation is attributable to differences in... -
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... -
Interval censored regression with fixed effects (replication data)
This paper considers identification and estimation of a fixed-effects model with an interval-censored dependent variable. In each time period, the researcher observes the... -
Refining the workhorse oil market model (replication data)
The Kilian and Murphy (Journal of Applied Econometrics, 2014, 29, 454-478) structural vector autoregressive model has become the workhorse model for the analysis of oil markets.... -
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)... -
The next hundred years of growth and convergence (replication data)
World gross domestic product per capita is forecast to grow at 2.6% annually over the next 100 years. Convergence of less-developed countries toward output levels of the world... -
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... -
Interpreting shocks to the relative price of investment with a two‐sector mod...
Consumption and investment comove over the business cycle in response to shocks that permanently move the price of investment. The interpretation of these shocks has relied on...
