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This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models,networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.
This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models,networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.
Laszlo Matyas is a well-known Hungarian-Australian economist/econometrician. He (co)authored and (co)edited several high impact publications in econometrics, mostly in the field of panel data. Currently he is a University Professor at the Central European University (CEU - Budapest, Hungary and Vienna, Austria). Earlier, among others, he worked as Senior Lecturer at Monash University (Melbourne, Australia), was the founding Director of the Institute for Economic Analysis (Budapest, Hungary), and also served as Provost of CEU.
Fixed Effects Models.- When and How Much Do Fixed Effects Matter?- Random Effects Models.- Estimation of Sparse Variance-Covariance Matrix.- Models with Endogenous Regressors.- Dynamic Models and Reciprocity.- Random Coefficients Models.- Nonparametric Models with Random Effects.- Nonparametric Models with Fixed Effects.- Multi-dimensional Panels in Quantile Regression Models.- Multi-dimensional Models for Spatial Panels.- The Econometrics of Gravity Models in International Trade.- Modelling Housing Using Multi-dimensional Panel Data.- Modelling Migration.- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption.- Can Machine Learning Beat Gravity in Flow Prediction?
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Volkswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Reihe: | Advanced Studies in Theoretical and Applied Econometrics |
| Inhalt: |
xxi
551 S. 16 s/w Illustr. 551 p. 16 illus. |
| ISBN-13: | 9783031498480 |
| ISBN-10: | 3031498488 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Matyas, Laszlo |
| Herausgeber: | Laszlo Matyas |
| Auflage: | 2nd ed. 2024 |
| Hersteller: |
Springer International Publishing
Advanced Studies in Theoretical and Applied Econometrics |
| Maße: | 241 x 160 x 37 mm |
| Von/Mit: | Laszlo Matyas |
| Erscheinungsdatum: | 02.02.2024 |
| Gewicht: | 1,021 kg |
Laszlo Matyas is a well-known Hungarian-Australian economist/econometrician. He (co)authored and (co)edited several high impact publications in econometrics, mostly in the field of panel data. Currently he is a University Professor at the Central European University (CEU - Budapest, Hungary and Vienna, Austria). Earlier, among others, he worked as Senior Lecturer at Monash University (Melbourne, Australia), was the founding Director of the Institute for Economic Analysis (Budapest, Hungary), and also served as Provost of CEU.
Fixed Effects Models.- When and How Much Do Fixed Effects Matter?- Random Effects Models.- Estimation of Sparse Variance-Covariance Matrix.- Models with Endogenous Regressors.- Dynamic Models and Reciprocity.- Random Coefficients Models.- Nonparametric Models with Random Effects.- Nonparametric Models with Fixed Effects.- Multi-dimensional Panels in Quantile Regression Models.- Multi-dimensional Models for Spatial Panels.- The Econometrics of Gravity Models in International Trade.- Modelling Housing Using Multi-dimensional Panel Data.- Modelling Migration.- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption.- Can Machine Learning Beat Gravity in Flow Prediction?
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Volkswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Reihe: | Advanced Studies in Theoretical and Applied Econometrics |
| Inhalt: |
xxi
551 S. 16 s/w Illustr. 551 p. 16 illus. |
| ISBN-13: | 9783031498480 |
| ISBN-10: | 3031498488 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Matyas, Laszlo |
| Herausgeber: | Laszlo Matyas |
| Auflage: | 2nd ed. 2024 |
| Hersteller: |
Springer International Publishing
Advanced Studies in Theoretical and Applied Econometrics |
| Maße: | 241 x 160 x 37 mm |
| Von/Mit: | Laszlo Matyas |
| Erscheinungsdatum: | 02.02.2024 |
| Gewicht: | 1,021 kg |
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