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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... -
The time-varying behaviour of real interest rates: a re-evaluation of the rec...
A time-varying parameter model with Markov-switching conditional heteroscedasticity is employed to investigate two sources of shifts in real interest rates: (1) shifts in the... -
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... -
Whose wages do unions raise? A dynamic model of unionism and wage rate determ...
We estimate the union premium for young men over a period of declining unionization (1980-87) through a procedure which identifies the alternative sources of the endogeneity of... -
Bayesian inference for periodic regime-switching models (replication data)
We present a general class of nonlinear time-series Markov regime-switching models for seasonal data which may exhibit periodic features in the hidden Markov process as well as... -
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... -
Does more calculus improve student learning in intermediate micro- and macroe...
Using a selection bias correction model with ordered probit, we estimate how a second semester of calculus affects students' grades in intermediate economic theory. Selection... -
FEASIBLE CROSS-VALIDATORY MODEL SELECTION FOR GENERAL STATIONARY PROCESSES (r...
Cross-validation is a method used to estimate the expected prediction error of a model. Such estimates may be of interest in themselves, but their use for model selection is... -
STATISTICAL INFERENCE VIA BOOTSTRAPPING FOR MEASURES OF INEQUALITY (replicati...
In this paper we consider the use of bootstrap methods to compute interval estimates and perform hypothesis tests for decomposable measures of economic inequality. Two... -
NUMERICAL METHODS FOR ESTIMATION AND INFERENCE IN BAYESIAN VAR-MODELS (replic...
In Bayesian analysis of vector autoregressive models, and especially in forecasting applications, the Minnesota prior of Litterman is frequently used. In many cases other prior... -
COINTEGRATION AND CHANGES IN REGIME: THE JAPANESE CONSUMPTION FUNCTION (repli...
In this paper we examine a model of cointegration where long-run parameters are subject to switching between several different cointegrating regimes. These shifts are allowed to... -
Panel Estimates of a Two-Tiered Earnings Frontier (replication data)
This paper uses panel data to estimate a two-tiered instead of a one-tiered frontier model. The innovation is to develop a two-step maximum likelihood procedure yielding... -
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... -
Erratum: The likelihood ratio test under nonstandard conditions: Testing the ...
This dataset has no description
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Measuring underlying economic activity (replication data)
Recently, interest in the methodology of constructing coincident economic indicators has been revived by the work of Stock and Watson (1989b). They adopt the framework of the... -
A time series analysis of real wages, consumption and asset returns (replicat...
This paper re-examines whether the time series properties of aggregate consumption, real wages, and asset returns can be explained by a neoclassical model. Previous empirical... -
Money demand revisited: An operational subjective approach (replication data)
This paper proposes a method of data analysis founded on the philosophy and understanding of uncertain knowledge developed by Bruno de Finetti. Specifically, the paper... -
Alternative procedures for converting qualitative response data to quantitati...
This paper analyses and extends alternative procedures for converting qualitative expectations responses to quantitative expectations. A number of conversion procedures is... -
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... -
Testing for homogeneity in demand systems when the regressors are nonstationa...
An implication of optimizing theory is that demand functions are homogeneous of degree zero in prices and nominal income. Evidence based on estimations of demand systems has...
