Business Cycles and Economic Crises A Bibliometric and Economic History Routledge Studies in the History of Economics Series
Auteurs : Geiger Niels, Kufenko Vadim
Throughout the history of economic thought, interest in business cycles and economic crises has sometimes been observed to rise during times of crises, recessions and depressions. However, the treatment of this topic in the literature has generally been merely anecdotal.
This book presents a bibliometric and econometric analysis of the development of business cycle and crises theory and its connection to economic developments, particularly since the early 20th century. The book explores the connection between economic development and the literature, utilising systematic bibliometric and rigorous econometric methods and drawing its data from a wide range of sources. This volume provides quantitative answers to questions which have not previously been subject to a precise and comprehensive empirical analysis.
This book will be of great interest to historians of economic thought for its novel treatment of a much-discussed topic, and its well-founded and transparent results.
1. Introduction 2. Method and Data 3. Empirical Results 4. Conclusion
Niels Geiger is a postdoc in economics and research assistant at the Department of Economics at the University of Hohenheim in Stuttgart, Germany.
Vadim Kufenko is a postdoc in economics and a research assistant at the Department of Economics at the University of Hohenheim, Germany.
Date de parution : 09-2020
15.6x23.4 cm
Date de parution : 08-2018
15.6x23.4 cm
Thème de Business Cycles and Economic Crises :
Mots-clés :
Cell D1; Economics Journals; time; JSTOR Data; series; NBER’s Business Cycle Date; bibliometric; Research Articles; data; Business Cycle Dating Committee; economics; Bibliometric Data; journals; Granger Causality Test Results; contraction; Citation Counts; years; Bibliometric Analysis; citing; item; Citing Item; Vadim Kufenko; Contraction Years; Discipline Categories; NBER Data; Consumption Price Index; Bibliometric Methods; Citation Data; Term Frequencies; JEL Codes; Keynes’s General Theory; Impulse Response Functions; JSTOR Search; Relevant Data Sources; Relative Frequencies