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Permutation tests for equality of distributions of functional data (replicati...
Economic data are often generated by stochastic processes that take place in continuous time, though observations may occur only at discrete times. Such data are called... -
Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful f...
Induced sparsity in the factor loading matrix identifies the factor basis, while rotational identification is obtained ex post by clustering methods closely related to machine... -
Estimating the economic costs of organized crime by synthetic control methods...
The economic costs of organized crime have been estimated for the case of southern Italy by Pinotti (Economic Journal 2015; 125, F203?F232, 2015): using synthetic control... -
Optimal Portfolio Choice Under Decision‐Based Model Combinations (replication...
We propose a density combination approach featuring combination weights that depend on the past forecast performance of the individual models entering the combination through a... -
Refining Stylized Facts from Factor Models of Inflation (replication data)
Factor models of disaggregate inflation indices suggest that sectoral shocks generate the bulk of sectoral inflation variance, but no persistence. Aggregate shocks, by contrast,... -
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... -
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... -
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...