Advances in Applied Econometrics: Celebrating Peter Schmidt's Legacy

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· Advanced Studies in Theoretical and Applied Econometrics · Springer Nature
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Over dit e-boek

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.

Over de auteur

Subal C Kumbhakar is a distinguished professor in economics at SUNY Binghamton, USA. He is a co-editor of the Springer journal Empirical Economics. He is a fellow of the Journal of Econometrics and a distinguished author of the Journal of Applied Econometrics. He holds an Honorary Doctorate degree from Gothenburg University, Sweden. He has extensively published in international journals in economics and econometrics.

Robin C. Sickles has published extensively in leading journals in economics and econometrics. He is a Fellow of the Journal of Econometrics, Elsevier Handbook Series in Economics, and International Association of Applied Econometrics and is a member of Conference on Research in Income and Wealth (NBER).

Hung-Jen Wang is a distinguished professor of National Taiwan University. His research interests are productivity and efficiency analysis, empirical macroeconomics, and monetary policy. He is an associate editor of the Journal of Productivity Analysis, Co-Editor of Taiwan Economics Forecast and Policy, and President of the Taiwan Economics Society.


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