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Non-Gaussian dynamic Bayesian modelling for panel data (replication data)
A first order autoregressive non-Gaussian model for analysing panel data is proposed. The main feature is that the model is able to accommodate fat tails and also skewness, thus... -
Forecast comparisons in unstable environments (replication data)
We propose new methods for comparing the out-of-sample forecasting performance of two competing models in the presence of possible instabilities. The main idea is to develop a... -
What do we learn from the price of crude oil futures? (replication data)
Despite their widespread use as predictors of the spot price of oil, oil futures prices tend to be less accurate in the mean-squared prediction error sense than no-change... -
Limited information estimation and evaluation of DSGE models (replication data)
We advance the proposition that dynamic stochastic general equilibrium (DSGE) models should not only be estimated and evaluated with full information methods. These require that... -
On portfolio optimization: How and when do we benefit from high-frequency dat...
We examine how the use of high-frequency data impacts the portfolio optimization decision. Prior research has documented that an estimate of realized volatility is more precise... -
Public insurance and private savings: who is affected and by how much? (repli...
This paper employs a recently developed instrumental quantile regression method to investigate the effect of Medicaid on household savings across different wealth groups. It... -
Econometrics of auctions by least squares (replication data)
I investigate using the method of ordinary least squares (OLS) on auction data. I find that for parameterizations of the valuation distribution that are common in empirical... -
Bayes estimates of distance-to-market: transactions costs, cooperatives and m...
Rationalizing non-participation as a resource deficiency in the household, this paper identifies strategies for milk-market development in the Ethiopian highlands. The... -
Multivariate partial adjustment of financial ratios: a Bayesian hierarchical ...
In this paper we propose a multivariate extension of the partial adjustment model of financial ratios. To that end, we use a dynamic factor model which assumes that financial... -
Growth, technological interdependence and spatial externalities: theory and e...
This paper presents a theoretical growth model which explicitly takes into account technological interdependence among economies and examines the impact of spillover effects.... -
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... -
Inter-state dynamics of invention activities, 1930–2000 (replication data)
We study the dynamics of the cross-section distribution of patents per capita for the 48 continental US states from 1930 to 2000 using a discrete-state Markov chain. We test for... -
Semi-parametric estimation of consumption-based equivalence scales: the case ...
Consumption-based equivalence scales are estimated by applying the extended partially linear model (EPLM) to the 1998 German Income and Consumption Survey (EVS). In this model... -
Periodically expanding discounted debt: a threat to fiscal policy sustainabil...
This paper models the behaviour of discounted US debt using a Markov-switching time series model. The significance of modelling fiscal policy within this framework derives from... -
A structural model of US aggregate job flows (replication data)
This paper contributes to the analysis of jobs flows dynamics through the explicit modelling of job creations and job destructions. We propose a simple matching model extended...
