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Do dropouts suffer from dropping out? Estimation and prediction of outcome ga...
In this paper we describe methods for predicting distributions of outcome gains in the framework of a latent variable selection model. We describe such procedures for Student-t... -
Bayesian geoadditive modelling of breastfeeding initiation in Nigeria (replic...
A study into the geographical variability of timing of initial child breastfeeding after birth was carried out with the data set from the 1999 Nigeria Demographic and Health... -
Retesting Fair's (1978) model on infidelity (replication data)
Modern econometrics stresses the diagnostic testing of estimated models as an important part of the model-building process. In a survey article published in this journal (Pagan... -
Individual heterogeneity and censoring in panel data estimates of tobacco exp...
A panel of households is used to test the rational addiction model of Becker et al. (1994). These data raise problems of measurement errors, censoring, and unobservable... -
Long-range dependence in Spanish political opinion poll series (replication d...
This paper investigates the time series properties of partisanship for five political parties in Spain. It is found that pure fractional processes with a degree of integration,... -
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... -
Incorporating monotonicity and concavity conditions in flexible functional fo...
Empirical economists using flexible functional forms often face the disturbing choice of drawing inferences from an approximation violating properties dictated by theory or... -
A nonlinear approach to US GNP (replication data)
A univariate nonlinear model is estimated for US GNP that on many criteria outperforms standard linear models. The estimated model is of the threshold autoregressive type and... -
The distribution of personal income: Revisited (replication data)
In a recent paper, Majumder and Chakravarty (1990) propose a four-parameter model which they find provides a better fit to some income data than the lognormal, gamma,...
