Economic history goes digital: topic modeling the Journal of Economic History

Wehrheim, Lino

doi:10.1007/s11698-018-0171-7

Cited by 45 publications

(26 citation statements)

References 56 publications

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“…For example, [18] identified topics in the Journal of Economics and Statistics to study whether or not the scientific discussion of topics correlates with the actual development of economic key indicators. [19] examined how central bank communications affect real economic variables using topic modeling, and [20] employed LDA to model the topics in the Journal of Economic History between 1941 and 2016.…”

Section: Fundingmentioning

confidence: 99%

Measuring the diffusion of innovations with paragraph vector topic models

Lenz

Winker

2020

PLoS ONE

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Measuring the diffusion of innovations from textual data sources besides patent data has not been studied extensively. However, early and accurate indicators of innovation and the recognition of trends in innovation are mandatory to successfully promote economic growth through technological progress via evidence-based policy making. In this study, we propose Paragraph Vector Topic Model (PVTM) and apply it to technology-related news articles to analyze innovation-related topics over time and gain insights regarding their diffusion process. PVTM represents documents in a semantic space, which has been shown to capture latent variables of the underlying documents, e.g., the latent topics. Clusters of documents in the semantic space can then be interpreted and transformed into meaningful topics by means of Gaussian mixture modeling. In using PVTM, we identify innovation-related topics from 170, 000 technology news articles published over a span of 20 years and gather insights about their diffusion state by measuring the topic importance in the corpus over time. Our results suggest that PVTM is a credible alternative to widely used topic models for the discovery of latent topics in (technology-related) news articles. An examination of three exemplary topics shows that innovation diffusion could be assessed using topic importance measures derived from PVTM. Thereby, we find that PVTM diffusion indicators for certain topics are Granger causal to Google Trend indices with matching search terms.

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Section: Fundingmentioning

confidence: 99%

Measuring the diffusion of innovations with paragraph vector topic models

Lenz

Winker

2020

PLoS ONE

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“…Angrist et al (2017Angrist et al ( , 2019 use LDA to assess the impact of economics scholarship on other disciplines. Wehrheim (2019) analyses the topics of the articles published in the Journal of Economic History. Goldstein et al (2019) try to understand the topics of "FinTech" by analyzing the abstracts of 156 proposals submitted to a special issue of Review of Financial Studies.…”

Section: Textual Analysis and The Study Of Financial Crisismentioning

confidence: 99%

Academic Scholarship in Light of the 2008 Financial Crisis: Textual Analysis of NBER Working Papers

2020

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Copyright belongs to the author. Short sections of the text, not exceeding three paragraphs, can be used provided proper acknowledgement is given. The Rimini Centre for Economic Analysis (RCEA) was established in March 2007. RCEA is a private, nonprofit organization dedicated to independent research in Applied and Theoretical Economics and related fields. RCEA organizes seminars and workshops, sponsors a general interest journal, the Review of Economic Analysis (REA), and organizes a biennial conference, the Rimini Conference in Economics and Finance (RCEF). Scientific work contributed by the RCEA Scholars is published in the RCEA Working Paper series. The views expressed in this paper are those of the authors. No responsibility for them should be attributed to the Rimini Centre for Economic Analysis.

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“…Di Vaio and Weisdorf (2010) and Ojala et al (2017) respectively explore the pattern of citations in a sample of leading economic history journals in 2007 and in two long-established business history journals, Business History and Business History Review. Selzer and Hamermesh (2018) analyse the causes of the growth in coauthorship, Fourie and Gardner (2014) outline the growing interest in non-Western economic history, Eloranta, Ojala and Valtonen (2010) analyse the spread of quantitative methods in business history and Margo (2018) and Wehrheim (2018) outline the diffusion of advanced statistical techniques in economic history journals. In contrast, we address many issues with a comprehensive database of all 6,516 articles published in the T5-EH from their establishment (1927for EHR, 1941for JEH, 1969for EEH, 1997for EREH and 2007 for CLIO) to 2017.…”

Section: Introductionmentioning

confidence: 99%