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People Job Market Candidates Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Job Market Candidates Tommaso Bighelli Job market paper: "The…
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IWH Doctoral Programme in Economics
Warum ein Doktorandenstudium am IWH? Das IWH Doctoral Programme in Economics – one of the Top 20 places to do a PhD ( INOMICS Career Guide 2023 ) Am Leibniz-Institut für…
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Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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IWH-DPE Call for Applications – Fall 2022 Intake
Vacancy IWH-DPE Call for Applications – Fall 2022 Intake We encourage outstanding students with a master degree in economics or related fields, such as mathematics, statistics,…
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IWH-DPE Call for Applications – Fall 2021 Intake
Vacancy IWH-DPE Call for Applications – Fall 2021 Intake We encourage outstanding students with a master degree in economics or related fields, such as mathematics, statistics,…
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IWH-DPE Call for Applications – Fall 2024 Intake
Vacancy The Halle Institute for Economic Research (IWH) is one of Germany’s leading economic research institutes. The IWH focuses on research in macroeconomics, financial…
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IWH-DPE Call for Applications – Fall 2020 Intake
Vacancy IWH-DPE Call for Applications – Fall 2020 Intake We encourage outstanding students with a master degree in economics or related fields, such as mathematics, statistics,…
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01.06.2022 • 12/2022
IWH begrüßt internationale Spitzenforscherin als Leiterin der neuen Abteilung
Kräftiger Schub für die wissenschaftliche Exzellenz des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH): Merih Sevilir, eine weltweit renommierte Forscherin für das Zusammenspiel von Finanz- und Arbeitsmärkten, leitet seit heute die jüngste Abteilung des Instituts. Ihre Expertise stärkt ein Alleinstellungsmerkmal des IWH und eröffnet der Politik die Chance auf wesentliche Erkenntnisgewinne.
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Evolvement of China-related Topics in Academic Accounting Research: Machine Learning Evidence
June Cao, Zhanzhong Gu, Iftekhar Hasan
China Accounting and Finance Review,
Nr. 4,
2020
Abstract
This study employs an unsupervised machine learning approach to explore the evolution of accounting research. We are particularly interested in exploring why international researchers and audiences are interested in China-related issues; what kinds of research topics related to China are mainly investigated in globally recognised journals; and what patterns and emerging topics can be explored by comprehensively analysing a big sample. Using a training sample of 23,220 articles from 46 accounting journals over the period 1980 to 2018, we first identify the optimal number of accounting research topics; the dynamic patterns of these accounting research topics are explored on the basis of 46 accounting journals to show changes in the focus of accounting research. Further, we collect articles related to Chinese accounting research from 18 accounting journals, eight finance journals, and eight management journals over the period 1980 to 2018. We objectively identify China-related accounting research topics and map them to the stages of China’s economic development. We attempt to identify the China-related issues global researchers are interested in and whether accounting research reflects the economic context. We use HistCite TM to generate a citation map along a timeline to illustrate the connections between topics. The citation clusters demonstrate “tribalism” phenomena in accounting research. The topics related to Chinese accounting research conducted by international accounting researchers reveal that accounting changes mirror economic reforms. Our findings indicate that accounting research is embedded in the economic context.
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