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Stochastic frontier models with random coefficients (replication data)
The paper proposes a stochastic frontier model with random coefficients to separate technical inefficiency from technological differences across firms, and free the frontier... -
Using R to teach econometrics (replication data)
R, an open-source programming environment for data analysis and graphics, has in only a decade grown to become a de-facto standard for statistical analysis against which many... -
Evaluating asset-pricing models using the Hansen-Jagannathan bound: a Monte C...
We use recent statistical tests, based on a distance between the model and the Hansen-Jagannathan bound, to compute the rejection rates of true models. For asset-pricing models... -
Modelling the trend and seasonals within an AIDS model of the demand for alco...
The argument that is put forward in this paper is that failure to represent stochastic trend and stochastic seasonality in an AIDS model leads to a misspecified and possibly... -
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...
