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Measuring the impact of nonignorability in panel data with non-monotone nonre...
The analysis of panel data with non-monotone nonresponse often relies on the critical and untestable assumption of ignorable missingness. It is important to assess the... -
Dynamics and equilibrium in a structural model of wide-body commercial aircra...
This paper develops and estimates a dynamic equilibrium model of the market for new and used commercial aircraft. The model is estimated by maximum simulated likelihood using... -
Traffic safety and vehicle choice: quantifying the effects of the ‘arms race’...
The increasing share of light trucks in the USA has been characterized as an arms race where individual purchases of light trucks for better self-protection nevertheless worsen... -
Instrumental variables regressions with uncertain exclusion restrictions: a B...
The identification of structural parameters in the linear instrumental variables (IV) model is typically achieved by imposing the prior identifying assumption that the error... -
Selection in a field experiment with voluntary participation (replication data)
The external validity of experiments in economics can be ensured only if participants reflect the relevant market population. We study data from a promotional campaign of... -
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... -
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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Empirical and policy performance of a forward‐looking monetary model (replica...
In this paper we consider the implications of a fully specified dynamic general equilibrium model, developed by Smets and Wouters (2003). This is a relatively large-scale... -
The Lucas critique and the stability of empirical models (replication data)
This paper reconsiders the empirical relevance of the Lucas critique using a DSGE sticky price model in which a weak central bank response to inflation generates equilibrium... -
International evidence on the efficacy of new‐Keynesian models of inflation p...
We take an agnostic view of the Phillips curve debate, and carry out an empirical investigation of the relative and absolute efficacy of Calvo sticky price (SP), sticky... -
Monetary policy and uncertainty in an empirical small open‐economy model (rep...
This paper explores optimal policy design in an estimated model of three small open economies: Australia, Canada and New Zealand. Within a class of generalized Taylor rules, we... -
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... -
Welfare‐maximizing monetary policy under parameter uncertainty (replication d...
This paper examines welfare-maximizing monetary policy in an estimated micro-founded general equilibrium model of the US economy where the policymaker faces uncertainty about... -
Averaging forecasts from VARs with uncertain instabilities (replication data)
Recent work suggests VAR models of output, inflation, and interest rates may be prone to instabilities. In the face of such instabilities, a variety of estimation or forecasting... -
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...
