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Measuring the slowly evolving trend in US inflation with professional forecas...
Much research studies US inflation history with a trend-cycle model with unobserved components, where the trend may be viewed as the Fed's evolving inflation target or... -
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... -
Real‐time detection of regimes of predictability in the US equity premium (re...
We propose new real-time monitoring procedures for the emergence of end-of-sample predictive regimes using sequential implementations of standard (heteroskedasticity-robust)... -
Robust political economy correlates of major product and labor market reforms...
The political economy literature has put forward a multitude of hypotheses regarding the drivers of structural reforms, but few, if any, empirically robust findings have emerged... -
Reevaluating the prudence of economic forecasts in the EU: The role of instru...
Christodoulakis and Mamatzakis (2009, Journal of Applied Econometrics 24, pp. 583-606) estimate the EU Commission loss preferences for selected economic forecasts of 12 EU... -
Estimation and inference for spatial models with heterogeneous coefficients: ...
This paper considers the estimation and inference of spatial panel data models with heterogeneous spatial lag coefficients, with and without weakly exogenous regressors, and... -
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...
