This book provides a general framework for specifying, estimating, and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalized method of moments estimation, nonparametric estimation, and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal ma...
The purpose of this chapter is to provide a comprehensive treatment of likelihood inference for stat...
Bringing together a collection of previously published work, this 2004 book provides a discussion of...
Since L. P. Hansen's (1982) seminal paper, the generalized method of moments (GMM) has become an inc...
This book provides a general framework for specifying, estimating, and testing time series econometr...
Vance Martin, Stan Hurn and David Harris New York: Cambridge University Press, 2013, 887 page
Presents the main statistical tools of econometrics, focusing specifically on modern econometric met...
'Econometric Modeling' provides a new and stimulating introduction to econometrics, focusing on mode...
The thesis deals with maximum likelihood estimators in time series. The reader becomes familiar with...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
The course provides a survey of the theory and application of time series methods in econometrics. T...
This book integrates the fundamentals of asymptotic theory of statistical inference for time series ...
International audienceTesting the specification of econometric models has come a long way from the t...
Much of what economists understand about empirical regularities in macroeconomics and the behavior o...
A crucial element in the development of econometric methodology during the past decade has been the ...
The purpose of this chapter is to provide a comprehensive treatment of likelihood inference for stat...
Bringing together a collection of previously published work, this 2004 book provides a discussion of...
Since L. P. Hansen's (1982) seminal paper, the generalized method of moments (GMM) has become an inc...
This book provides a general framework for specifying, estimating, and testing time series econometr...
Vance Martin, Stan Hurn and David Harris New York: Cambridge University Press, 2013, 887 page
Presents the main statistical tools of econometrics, focusing specifically on modern econometric met...
'Econometric Modeling' provides a new and stimulating introduction to econometrics, focusing on mode...
The thesis deals with maximum likelihood estimators in time series. The reader becomes familiar with...
Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inpe...
Abstract. Recent developments in empirical likelihood (EL) are reviewed. First, to put the method in...
The course provides a survey of the theory and application of time series methods in econometrics. T...
This book integrates the fundamentals of asymptotic theory of statistical inference for time series ...
International audienceTesting the specification of econometric models has come a long way from the t...
Much of what economists understand about empirical regularities in macroeconomics and the behavior o...
A crucial element in the development of econometric methodology during the past decade has been the ...
The purpose of this chapter is to provide a comprehensive treatment of likelihood inference for stat...
Bringing together a collection of previously published work, this 2004 book provides a discussion of...
Since L. P. Hansen's (1982) seminal paper, the generalized method of moments (GMM) has become an inc...