Produktnummer:
186a95eb58da71439da6ccae90d00e631b
Themengebiete: | Copulas Econometrics Efficiency Limited dependent variables Machine learning Nonparametric methods Panel data Productivity Stochastic frontiers Time series |
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Veröffentlichungsdatum: | 09.01.2025 |
EAN: | 9783031483844 |
Sprache: | Englisch |
Seitenzahl: | 777 |
Produktart: | Gebunden |
Herausgeber: | Kumbhakar, Subal C. Sickles, Robin C. Wang, Hung-Jen |
Verlag: | Springer International Publishing |
Untertitel: | Celebrating Peter Schmidt's Legacy |
Produktinformationen "Advances in Applied Econometrics"
This edited volume celebrates the profound legacy of Peter Schmidt, an eminent figure in econometric research. Originally featured as a Special Issue in Empirical Economics in 2023, this book gathers esteemed econometricians to honor Schmidt's influential work. His distinguished career encompassed pioneering contributions to various realms of econometrics, including time series and panel data econometrics, as well as stochastic frontier analysis. This Festschrift beautifully captures his synergy of theoretical innovation and empirical significance.Written by distinguished econometricians, the volume presents the state-of-the-art in econometrics, traversing Schmidt's diverse interests. It spotlights his impact on applied econometrics and features 25 contributions on topics such as panel data econometrics, stochastic frontier analysis and efficiency/productivity measurement, time series methods, general applied econometrics, copulas, nonparametric methods, andlimited dependent variable models. Readers will gain an overview of the state of econometrics through the lens of Schmidt's multifaceted expertise, exemplifying the enduring resonance of Schmidt's scholarly journey and his indelible impact on the field.

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