This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to evaluating models’ properties initiated by Adelman and Adelman (1959). It also estimates for a particular model the gain in coverage accuracy from using bootstrap confidence intervals over asymptotic confidence intervals
Esta tesis trata de ser una contribución a la literatura en predicción con modelos no lineales en di...
This paper discusses the challenges faced by the empirical macroeconomist and methods for surmountin...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...
This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric mode...
I have been doing research in macroeconomics since the late 1960s, almost 50 years. In this paper I ...
This Chapter reviews econometric methods that can be used in order to deal with the challenges of in...
This paper investigates the potentials of the bootstrap as a tool for inference on the parameters of...
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capa...
A stochastic simulation model is proposed in this paper for obtaining median unbiased (MU) estimates...
A bootstrap simulation approach was used to generate values for endogenous variables of a simultaneo...
The subject of this paper is modelling, estimation, inference and prediction for economic time serie...
This dissertation consists of three independent chapters on econometric methods for macroeconomic an...
This thesis consists of three chapters on topics in macroeconometrics. Chapter 1 provides a novel e...
Three macroeconomic issues are examined in separate self-contained studies. The novelty is in the co...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
Esta tesis trata de ser una contribución a la literatura en predicción con modelos no lineales en di...
This paper discusses the challenges faced by the empirical macroeconomist and methods for surmountin...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...
This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric mode...
I have been doing research in macroeconomics since the late 1960s, almost 50 years. In this paper I ...
This Chapter reviews econometric methods that can be used in order to deal with the challenges of in...
This paper investigates the potentials of the bootstrap as a tool for inference on the parameters of...
The bootstrap is a statistical technique used more and more widely in econometrics. While it is capa...
A stochastic simulation model is proposed in this paper for obtaining median unbiased (MU) estimates...
A bootstrap simulation approach was used to generate values for endogenous variables of a simultaneo...
The subject of this paper is modelling, estimation, inference and prediction for economic time serie...
This dissertation consists of three independent chapters on econometric methods for macroeconomic an...
This thesis consists of three chapters on topics in macroeconometrics. Chapter 1 provides a novel e...
Three macroeconomic issues are examined in separate self-contained studies. The novelty is in the co...
While often simple to implement in practice, application of the bootstrap in econometric modeling o...
Esta tesis trata de ser una contribución a la literatura en predicción con modelos no lineales en di...
This paper discusses the challenges faced by the empirical macroeconomist and methods for surmountin...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...