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Accounting for the Political Uncertainty Factor (replication data)
We build our analysis upon previous work by Bloom et al. (Measuring the Effect of Political Uncertainty. Working Paper, Stanford University, 2012) and Baker et al. (Political... -
A Bayesian Semiparametric Competing Risk Model with Unobserved Heterogeneity ...
This paper generalizes existing econometric models for censored competing risks by introducing a new flexible specification based on a piecewise linear baseline hazard,... -
Risk of catastrophic terrorism: an extreme value approach (replication data)
This paper models the stochastic behavior of large-scale terrorism using extreme value methods. We utilize a unique dataset composed of roughly 26,000 observations. These data... -
Semi-nonparametric competing risks analysis of recidivism (replication data)
In this paper we specify a semi-nonparametric competing risks (SNP-CR) model of recidivism, for misdemeanors and felonies. The model is a bivariate mixed proportional hazard... -
Modelling multi-period inflation uncertainty using a panel of density forecas...
This paper examines the determinants of inflation forecast uncertainty using a panel of density forecasts from the Survey of Professional Forecasters (SPF). Based on a dynamic... -
Is there a risk–return trade-off? Evidence from high-frequency data (replicat...
This paper examines the intertemporal relation between risk and return for the aggregate stock market using high-frequency data. We use daily realized, GARCH, implied, and... -
The asymmetric effects of uncertainty on inflation and output growth (replica...
We study the effects of growth volatility and inflation volatility on average rates of output growth and inflation for post-war US data. Our results suggest that increased... -
The effects of real and nominal uncertainty on inflation and output growth: s...
In this paper we use GARCH-M methods to test four hypotheses about the effects of real and nominal uncertainty on average inflation and output growth in the United States from...
