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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... -
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... -
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... -
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... -
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... -
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...
