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The linear quadratic adjustment cost model and the demand for labour (replica...
In this paper we demonstrate a new way of testing the linear quadratic adjustment cost (LQAC) model under rational expectations. We illustrate how the parameter restrictions... -
Statistical inference in calibrated models (replication data)
This paper describes a Monte Carlo procedure to assess the performance of calibrated dynamic general equilibrium models. The procedure formalizes the choice of parameters and... -
A structural model of aircraft engine maintenance (replication data)
We develop and estimate a simple regenerative optimal stopping model of aircraft engine maintenance that attempts to describe the behaviour of airline maintenance personnel. The... -
Estimating nonlinear time-series models using simulated vector autoregression...
This paper develops two new methods for conducting formal statistical inference in nonlinear dynamic economic models. The two methods require very little analytical... -
Common Trends and Common Cycles (replication data)
The existence of a serial correlation common feature among the first differences of a set of I(1) variables implies the existence of a common cycle in the... -
On the estimation of simultaneous-equations error-components models with an a...
An empirical balance of payments model involving the demand and supply of imports and exports for 31 developing countries is estimated utilizing panel data over 1964-1987. In... -
A re-examination of the q theory of investment using u.s. firm data (replicat...
Investment models based on Tobin's q are theoretically appealing, but they have been an empirical disappointment when applied to aggregate time-series data. This paper explores... -
Are price equations really money demand equations on their heads? (replicatio...
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Asymptotic theory and econometric practice (replication data)
The classical paradigm of asymptotic theory employed in econometrics presumes that model dimensionality, p, is fixed as sample size, n, tends to inifinity. Is this a plausible...