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Posterior odds comparison of a symmetric low-price, sealed-bid auction within...
I attempt to decide, using the posterior odds ratio, whether the symmetric common-value paradigm or the symmetric independent-private-values paradigm is a more probable... -
Conducting inference in semiparametric duration models under inequality restr...
Using a four-month panel of revised Current Population Survey data from September-December 1993, we extend the class of semiparametric hazard models of the type first studied by... -
Adaptive estimation of cointegrated models: simulation evidence and an applic...
The paper reports simulation and empirical evidence on the finite-sample performance of adaptive estimators in cointegrated systems. Adaptive estimators are asymptotically... -
Identifying interdependent behaviour in an empirical model of labour supply (...
In this paper we test a particular form of interdependent behaviour, namely the hypothesis that individuals' choices of hours of work are influenced by the average hours of work... -
Testing for ARCH in the presence of additive outliers (replication data)
In this paper we investigate the properties of the Lagrange Multiplier [LM] test for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) in the... -
Numerical distribution functions of likelihood ratio tests for cointegration ...
This paper employs response surface regressions based on simulation experiments to calculate asymptotic distribution functions for the Johansen-type likelihood ratio tests for... -
Non-linearities in cross-country growth regressions: a semiparametric approac...
In this paper we employ an additive semiparametric partially linear model to uncover the way that initial output and schooling levels affect growth rates. Our results based on... -
Exchange rate target zone models: a Bayesian evaluation (replication data)
This paper develops a Bayesian approach to estimating exchange rate target zone models and rational expectations models in general. It also introduces a simultaneous-equation... -
Exchange rates and monetary fundamentals: what do we learn from long-horizon ...
The use of a new bootstrap method for small-sample inference in long-horizon regressions is illustrated by analysing the long-horizon predictability of four major exchange... -
Learning and decision costs in one-person games (replication data)
This paper reports the results of a two-part data analysis of learning in a repeated costly decision experiment. In the first part we test payoff dominance under the hypothesis... -
Labour supply in Italy: an empirical analysis of joint household decisions, w...
This study applies an econometric framework which allows for complex non-convex budget sets, highly non-linear labour supply curves and imperfect markets with institutional... -
Common cycles in seasonal non-stationary time series (replication data)
This paper extends the notion of common cycles to quarterly time series having unit roots both at the zero and seasonal frequencies. It is shown that common cycles are present... -
Estimation in large and disaggregated demand systems: an estimator for condit...
Empirical demand systems that do not impose unreasonable restrictions on preferences are typically non-linear. We show, however, that all popular systems possess the property of... -
The error structure of time series cross-section hedonic models with sporadic...
When estimating hedonic models of housing prices, the use of time series cross-section repeat sales data can provide improvements in estimator efficiency and correct for... -
Estimating the LQAC model with I(2) variables (replication data)
This paper derives a method for estimating and testing the Linear Quadratic Adjustment Cost (LQAC) model when the target variable and some of the forcing variables follow I(2)... -
A non-linear filtering approach to stochastic volatility models with an appli...
This paper develops a new model for the analysis of stochastic volatility (SV) models. Since volatility is a latent variable in SV models, it is difficult to evaluate the exact... -
Detecting periodically collapsing bubbles: a Markov-switching unit root test ...
This paper addresses the problem of testing for the presence of a stochastic bubble in a time series in the case that the bubble is periodically collapsing so that the asset... -
A Monte Carlo study of the forecasting performance of empirical SETAR models ...
In this paper we investigate the multi-period forecast performance of a number of empirical self-exciting threshold autoregressive (SETAR) models that have been proposed in the... -
Small sample properties of LIML and jackknife IV estimators: experiments with...
Using Monte Carlo simulations we study the small sample performance of the traditional TSLS, the LIML and four new jackknife IV estimators when the instruments are weak. We find... -
Jackknife instrumental variables estimation (replication data)
Two-stage-least-squares (2SLS) estimates are biased towards the probability limit of OLS estimates. This bias grows with the degree of over-identification and can generate...
