Media Response
Media Response November 2024 Steffen Müller: Firmaer er oftere i problemer in: Flensborg Avis, 22.11.2024 Steffen Müller: Zahl der Insolvenzen steigt in: Süddeutsche.de,…
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IWH-DPE Call for Applications – Fall 2025 Intake
IWH-DPE Call for Applications About the IWH Doctoral Programme in Economics The IWH Doctoral Programme in Economics (IWH-DPE) is a rigorous structured four-year PhD programme with…
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Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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German economy in transition ‒ weak momentum, low potential growth The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024.…
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Archive
Media Response Archive 2021 2020 2019 2018 2017 2016 December 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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OVERHANG: Debt overhang and green investments - the role of banks in climate-friendly management of emission-intensive fixed assets
OVERHANG: Debt overhang and green investments - the role of banks in climate-friendly management of emission-intensive fixed assets Subproject 1: Policy Changes, Lending and…
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Economic Outlook
Joint Economic Forecast Autumn 2024 German economy in transition ‒ weak momentum, low potential growth September 26, 2024 The Joint Economic Forecast Project Group forecasts a…
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Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
No. 3,
2023
Abstract
This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.
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