The small sample properties of estimators and tests are frequently too complex to be useful or are unknown. Much econometric theory is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent their properties in small samples. Refined asymptotic methods adopt an intermediate position by providing improved approximations to small sample behaviour using asymptotic expansions. Dedicated to the memory of Michael Magdalinos, whose work is a major contribution to this area, this book contains chapters directly concerned with refined asymptotic methods. In addition, there are chapters focusing on new asymptotic results; the exploration through simulation of the small sample behaviour of estimators and tests in panel data models; and improvements in methodology. With contributions from leading econometricians, this collection will be essential reading for researchers and graduate students concerned with the use of asymptotic methods in econometric analysis.
The small sample properties of estimators and tests are frequently too complex to be useful or are unknown. Much econometric theory is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent their properties in small samples. Refined asymptotic methods adopt an intermediate position by providing improved approximations to small sample behaviour using asymptotic expansions. Dedicated to the memory of Michael Magdalinos, whose work is a major contribution to this area, this book contains chapters directly concerned with refined asymptotic methods. In addition, there are chapters focusing on new asymptotic results; the exploration through simulation of the small sample behaviour of estimators and tests in panel data models; and improvements in methodology. With contributions from leading econometricians, this collection will be essential reading for researchers and graduate students concerned with the use of asymptotic methods in econometric analysis.
This edited collection commemorates and builds upon the work of prominent Greek scholar in econometrics, Professor Efthymios (Mike) Tsionas. Including previously published work by Professor Tsionas, as well as original research from scholars in his related fields, this book makes a significant contribution to applied econometrics.Within a single volume, readers will have the opportunity to explore the impactful contributions made by Mike Tsionas throughout his academic career. Chapters cover four key sections, including recent econometric method developments, Bayesian methods, stochastic frontier analysis and inefficiency, and macroeconomic applications. The book features contributions from globally recognized scholars in econometrics, with significant policy relevance. This will be a valuable resource for students and researchers of econometrics, specifically working on topics including Bayesian inference, productivity and inefficiency, macro-finance and banking.
The small sample properties of estimators and tests are frequently too complex to be useful or are unknown. Much econometric theory is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent their properties in small samples. Refined asymptotic methods adopt an intermediate position by providing improved approximations to small sample behaviour using asymptotic expansions. Dedicated to the memory of Michael Magdalinos, whose work is a major contribution to this area, this book contains chapters directly concerned with refined asymptotic methods. In addition, there are chapters focusing on new asymptotic results; the exploration through simulation of the small sample behaviour of estimators and tests in panel data models; and improvements in methodology. With contributions from leading econometricians, this collection will be essential reading for researchers and graduate students concerned with the use of asymptotic methods in econometric analysis.
The small sample properties of estimators and tests are frequently too complex to be useful or are unknown. Much econometric theory is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent their properties in small samples. Refined asymptotic methods adopt an intermediate position by providing improved approximations to small sample behaviour using asymptotic expansions. Dedicated to the memory of Michael Magdalinos, whose work is a major contribution to this area, this book contains chapters directly concerned with refined asymptotic methods. In addition, there are chapters focusing on new asymptotic results; the exploration through simulation of the small sample behaviour of estimators and tests in panel data models; and improvements in methodology. With contributions from leading econometricians, this collection will be essential reading for researchers and graduate students concerned with the use of asymptotic methods in econometric analysis.
This edited collection commemorates and builds upon the work of prominent Greek scholar in econometrics, Professor Efthymios (Mike) Tsionas. Including previously published work by Professor Tsionas, as well as original research from scholars in his related fields, this book makes a significant contribution to applied econometrics.Within a single volume, readers will have the opportunity to explore the impactful contributions made by Mike Tsionas throughout his academic career. Chapters cover four key sections, including recent econometric method developments, Bayesian methods, stochastic frontier analysis and inefficiency, and macroeconomic applications. The book features contributions from globally recognized scholars in econometrics, with significant policy relevance. This will be a valuable resource for students and researchers of econometrics, specifically working on topics including Bayesian inference, productivity and inefficiency, macro-finance and banking.