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Revisiting the effect of growing up in a recession on attitudes towards redis...
Giuliano and Spilimbergo (2014) show that individuals who experienced a recession when young are more likely to favor redistribution in the short and long run. We revisit their... -
Identifying and Interpreting the Factors in Factor models via Sparsity: Diffe...
This dataset has no description
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(Un)expected monetary policy shocks and term premia (replication data)
The term structure of interest rates is crucial for the transmission of monetary policy to financial markets and the macroeconomy. Disentangling the impact of monetary policy on... -
Semiparametric estimation and variable selection for single‐index copula mode...
A copula with a flexibly dependence structure can capture complexity and heterogeneity in economic and financial time series. Based on the recently proposed single-index copula,... -
Transitory and permanent shocks in the global market for crude oil (replicati...
This paper documents the determinants of real oil price in the global market based on an empirical model embedding transitory and permanent shocks. We find evidence of... -
Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful f...
Induced sparsity in the factor loading matrix identifies the factor basis, while rotational identification is obtained ex post by clustering methods closely related to machine... -
Did Protestantism promote prosperity via higher human capital? Replicating th...
This paper shows that the Becker-Woessmann reformulation of the Weber thesis-Protestants were more prosperous in 19th-century Prussia because they had higher human capital-is... -
Is euro area lowflation here to stay? Insights from a time‐varying parameter ...
We build a time-varying parameter model that jointly explains the dynamics of euro area inflation and inflation expectations. Our goal is to explain the weak inflation during... -
Unobserved components with stochastic volatility: Simulation‐based estimation...
The unobserved components time series model with stochastic volatility has gained much interest in econometrics, especially for the purpose of modelling and forecasting... -
Nonlinear effects of government spending shocks in the USA: Evidence from sta...
This paper uses state-level data to estimate the effect of government spending shocks during expansions and recessions. By employing a mixed-frequency framework, we are able to... -
Common correlated effect cross‐sectional dependence corrections for nonlinear...
This paper provides an approach to estimation and inference for nonlinear conditional mean panel data models, in the presence of cross-sectional dependence. We modify Pesaran's... -
Fixed effects demeaning in the presence of interactive effects in treatment e...
The present paper shows that cross-section demeaning with respect to time fixed effects is more useful than commonly appreciated, in that it enables consistent and... -
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... -
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... -
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... -
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... -
A factor‐augmented vector autoregressive (FAVAR) approach for monetary policy...
This dataset has no description
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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...
