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A general dependence test and applications (replication data)
We describe a test, based on the correlation integral, for the independence of a variable and a vector that can be used with serially dependent data. Monte Carlo simulations... -
Ethnic wage differences in Malaysia: parametric and semiparametric estimation...
Parametric and semiparametric estimated wage equations, which correct for sample selection bias, are used to assess the returns to eduction and extent of ethnic discrimination... -
Semiparametric estimation and consumer demand (replication data)
This paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand. The application is to the estimation of the Engel curve... -
An empirical application of stochastic volatility models (replication data)
This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies. We concentrate on the... -
Stylized facts of daily return series and the hidden Markov model (replicatio...
In two recent papers, Granger and Ding (1995a,b) considered long return series that are first differences of logarithmed price series or price indices. They established a set of... -
Alternative functional forms for production, cost and returns to scale functi...
We consider generalized production functions, introduced in Zellner and Revankar (1969), for output y=g(f) where g is a monotonic function and f is a homogeneous production... -
Testing non-nested semiparametric models: an application to Engel curves spec...
This paper proposes a test statistic for discriminating between two partly non-linear regression models whose parametric components are non-nested. The statistic has the form of... -
An EMS target zone model in discrete time (replication data)
The discrete time analogue of the continuous time Krugman target zone model is developed in order to capture the typical volatility clusters and fat-tailed distributed...
