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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... -
Outlier-Robust Bayesian Multinomial Choice Modeling (replication data)
A Bayesian method for outlier-robust estimation of multinomial choice models is presented. The method can be used for both correlated as well as uncorrelated choice alternatives... -
APPLYING BETA-TYPE SIZE DISTRIBUTIONS TO HEALTHCARE COST REGRESSIONS (replica...
This paper extends the literature on modelling healthcare cost data by applying the generalised beta of the second kind (GB2) distribution to English hospital inpatient cost... -
Evaluating density forecasts: forecast combinations, model mixtures, calibrat...
This paper reviews current density forecast evaluation procedures, and considers a proposal that such procedures be augmented by an assessment of sharpness. This was motivated... -
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... -
Asymmetric power distribution: Theory and applications to risk measurement (r...
Theoretical literature in finance has shown that the risk of financial time series can be well quantified by their expected shortfall, also known as the tail value-at-risk. In... -
Estimating dynamic equilibrium economies: linear versus nonlinear likelihood ...
This paper compares two methods for undertaking likelihood-based inference in dynamic equilibrium economies: a sequential Monte Carlo filter and the Kalman filter. The... -
Quantifying the uncertainty about the half-life of deviations from PPP (repli...
We propose a Bayesian framework in which the uncertainty about the half-life of deviations from purchasing power parity can be quantified. Based on the responses to a survey... -
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... -
Testing the significance of income distribution changes over the 1980s busine...
Using kernel density estimation we describe the distribution of household size-adjusted real income and how it changed over the business cycle of the 1980s in the United States...
