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‘DUAL’ GRAVITY: USING SPATIAL ECONOMETRICS TO CONTROL FOR MULTILATERAL RESIST...
We derive a quantity-based structural gravity equation system in which both trade flows and error terms are cross-sectionally correlated. This system can be estimated using... -
A simple, flexible estimator for count and other ordered discrete data (repli...
This paper examines a flexible way to model empirically discrete data outcomes using hazard rate decompositions. It presents a general data-generating mechanism based on... -
Estimation of sample selection models with spatial dependence (replication data)
We consider the estimation of a sample selection model that exhibits spatial autoregressive errors (SAE). Our methodology is motivated by a two-step strategy where in the first... -
Stochastic monotonicity in intergenerational mobility tables (replication data)
The aim of this paper is to test for stochastic monotonicity in intergenerational socio-economic mobility tables. In other words, we question whether having a parent from a high... -
Jumps, cojumps and macro announcements (replication data)
We use recently proposed tests to extract jumps and cojumps from three types of assets: stock index futures, bond futures, and exchange rates. We then characterize the dynamics... -
Measuring and interpreting expectations of equity returns (replication data)
We analyze probabilistic expectations of equity returns elicited in the Survey of Economic Expectations in 1999-2001 and in the Michigan Survey of Consumers in 2002-2004. Our... -
Hierarchical Markov normal mixture models with applications to financial asse...
Motivated by the common problem of constructing predictive distributions for daily asset returns over horizons of one to several trading days, this article introduces a new... -
An empirical model of mainframe computer investment (replication data)
This paper introduces a dynamic model of investment decisions in mainframe computer systems. I estimate and test the model using detailed micro data from a company in the... -
Mixed logit models: accuracy and software choice (replication data)
This dataset has no description
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Forecast evaluation of small nested model sets (replication data)
We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs of a small set of alternative models that nest the... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers...
