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Testing for convergence: evidence from non-parametric multimodality tests (re...
In this paper, we test the convergence hypothesis in a cross-section of 119 countries by means of bootstrap multimodality tests and nonparametric density estimation techniques.... -
ENDOGENEITY IN COUNT DATA MODELS: AN APPLICATION TO DEMAND FOR HEALTH CARE (r...
The generalized method of moments (GMM) estimation technique is discussed for count data models with endogenous regressors. Count data models can be specified with additive or... -
HETEROGENEITY, EXCESS ZEROS, AND THE STRUCTURE OF COUNT DATA MODELS (replicat...
This paper demonstrates that the unobserved heterogeneity commonly assumed to be the source of overdispersion in count data models has predictable implications for the... -
SEMI-PARAMETRIC ESTIMATION OF HURDLE REGRESSION MODELS WITH AN APPLICATION TO...
This paper develops a semi-parametric estimation method for hurdle (two-part) count regression models. The approach in each stage is based on Laguerre series expansion for the... -
ECONOMIC INCENTIVES AND HOSPITALIZATION IN GERMANY (replication data)
The dramatically rising health expenditures have become a matter of prime concern. Using a rich panel dataset this paper contributes to this debate by investigating factors... -
DEMAND FOR MEDICAL CARE BY THE ELDERLY: A FINITE MIXTURE APPROACH (replicatio...
In this article we develop a finite mixture negative binomial count model that accommodates unobserved heterogeneity in an intuitive and analytically tractable manner. This... -
ESTIMATING THE INNOVATION FUNCTION FROM PATENT NUMBERS: GMM ON COUNT PANEL DA...
The purpose of this paper is to estimate the patent equation, an empirical counterpart to the knowledge-production function. Innovation output is measured through the number of... -
PATENTS, R&D, AND TECHNOLOGICAL SPILLOVERS AT THE FIRM LEVEL: SOME EVIDEN...
This paper analyses the relationship between the main determinants of technological activity and patent applications. To this end, an original panel of 181 international... -
COUNT DATA REGRESSION USING SERIES EXPANSIONS: WITH APPLICATIONS (replication...
A new class of parametric regression models for both under? and overdispersed count data is proposed. These models are based on squared polynomial expansions around a Poisson... -
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... -
COX REGRESSION WITH ALTERNATIVE CONCEPTS OF WAITING TIME: THE NEW ORLEANS YEL...
Event data can often be analysed using different concepts of waiting time. Our application offers three choices: calendar-time, age, and duration of residence in New Orleans. We... -
PERMANENT AND TRANSITORY SHOCKS, AND THE UK BUSINESS CYCLE (replication data)
In this paper the business cycle properties of UK data are investigated using a VAR technique. A Real Business Cycle (RBC) model is formulated. The model includes both permanent... -
A PREDICTIVE APPROACH TO MODEL SELECTION AND MULTICOLLINEARITY (replication d...
We argue for the adoption of a predictive approach to model specification. Specifically, we derive the difference between means and the ratio of determinants of covariance... -
SIGN- AND VOLATILITY-SWITCHING ARCH MODELS: THEORY AND APPLICATIONS TO INTERN...
This paper develops two conditionally heteroscedastic models which allow an asymmetric reaction of the conditional volatility to the arrival of news. Such a reaction is induced... -
Econometric methods for fractional response variables with an application to ...
We develop attractive functional forms and simple quasi-likelihood estimation methods for regression models with a fractional dependent variable. Compared with log-odds type... -
Numerical distribution functions for unit root and cointegration tests (repli...
This paper employs response surface regressions based on simulation experiments to calculate distribution functions for some well-known unit root and cointegration test... -
Comparing Fourier and translog specifications of multiproduct technology: Evi...
Selecting a functional form for a cost or profit function in applied production analysis is a crucial step in assessing the characteristics of a technology. The present study...
