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Nonparametric methods and local-time-based estimation for dynamic power law d...
This paper introduces nonparametric econometric methods that characterize general power law distributions under basic stability conditions. These methods extend the literature... -
Density Forecasts With Midas Models (replication data)
We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. First, Monte Carlo simulations... -
Are output growth-rate distributions fat-tailed? some evidence from OECD coun...
This work explores some distributional properties of aggregate output growth-rate time series. We show that, in the majority of OECD countries, output growth-rate distributions... -
Numerical distribution functions of likelihood ratio tests for cointegration ...
This paper employs response surface regressions based on simulation experiments to calculate asymptotic distribution functions for the Johansen-type likelihood ratio tests for...
