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Computing median unbiased estimates in macroeconometric models (replication d...
A stochastic simulation procedure is proposed in this paper for obtaining median unbiased (MU) estimates in macroeconometric models. MU estimates are computed for lagged... -
Analytic derivatives and the computation of GARCH estimates (replication data)
In the context of univariate GARCH models we show how analytic first and second derivatives of the log-likelihood can be successfully employed for estimation purposes. Maximum... -
Credit rationing and threshold effects in the relation between money and outp...
The possibility that the effect of monetary policy on output may depend on whether credit conditions are tight or loose can be expressed as a non-linearity in the relation... -
The inconsistency of common scale estimators when output prices are unobserve...
This paper explores the inconsistency of common scale estimators when output is proxied by deflated sales, based on a common output deflator across firms. The problem arises... -
Persistence of shocks on seasonal processes (replication data)
The paper addresses the issue of measuring the persistence of shocks on seasonally integrated processes observed at quarterly intervals. We show that the amplitude of the... -
Applied cointegration analysis in the mirror of macroeconomic theory (replica...
Cointegration analyses of macroeconomic time series are often not based on fully specified theoretical models. We use a theoretical model to scrutinize common procedures in... -
Semiparametric estimation of a hedonic price function (replication data)
Previous work on the preferred specification of hedonic price models usually recommended a Box-Cox model. In this paper we note that any parametric model involves implicit... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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... -
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.... -
Growth and convergence in a multi-country empirical stochastic Solow model (r...
The paper considers international per capita output and its growth using a panel of data for 102 countries between 1960 and 1989. It sets out an explicitly stochastic Solow... -
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... -
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...