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Displaying results 1 to 9 of 9.

  1. Risky news and credit market sentiment
    Author: Paul Labonne, Paul; Thorsrud, Leif Anders
    Published: [2023]
    Publisher:  BI Norwegian Business School, Centre for Applied Macro - Petroleum economics (CAMP), Oslo

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 321
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 11250/3107610
    Series: CAMP working paper series ; no. 2023, 14
    Subjects: Forecasting; non-linearity; news; word embeddings
    Scope: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  2. Fiscal policy in the Bundestag
    textual analysis and macroeconomic effects
    Author: Latifi, Albina; Naboka-Krell, Viktoriia; Tillmann, Peter; Winker, Peter
    Published: [2023]
    Publisher:  Philipps-University Marburg, School of Business and Economics, Marburg

    Fiscal policy is made in parliament. We go to the roots of changes of fiscal policy in Germany and use a novel data set on all parliamentary speeches in the Bundestag from 1960 to 2021. We propose an embedding-based approach, which allows the... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Fiscal policy is made in parliament. We go to the roots of changes of fiscal policy in Germany and use a novel data set on all parliamentary speeches in the Bundestag from 1960 to 2021. We propose an embedding-based approach, which allows the representation of words and documents in a shared vector space, in order to measure fiscal policy-related sentiment in parliamentary debates at a scale from contractionary to expansionary. For this purpose, a dictionary containing terms related to expansionary and contractionary policy measures is created. We put fiscal sentiment into a series of recursively-identified vector autoregressive (VAR) models to show that a change in fiscal sentiment causes a change in government spending and has strong effects on the macroeconomy. The results support the notion that the debate in parliament contains information for the identification of government spending shocks.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/278370
    Series: Joint discussion paper series in economics ; no. 2023, 07
    Subjects: text mining; word embeddings; VAR models; identification; government spending
    Scope: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  3. Sources of economic policy uncertainty in the Euro area
    a ready-to-use database
    Author: Azqueta-Gavaldón, Andrés; Diakonova, Marina; Ghirelli, Corinna; Pére, Javier J.
    Published: 2023
    Publisher:  Banco de España, Madrid

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 513
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: Documentos ocasionales / Banco de España ; no. 2315
    Subjects: economic policy uncertainty; euro area; machine learning; Latent DirichletAllocation; word embeddings
    Scope: 1 Online-Ressource (circa 23 Seiten), Illustrationen
  4. Women in economics
    the role of gendered references at entry in the profession
    Author: Baltrunaite, Audinga; Casarico, Alessandra; Rizzica, Lucia
    Published: [2024]
    Publisher:  Banca d'Italia Eurosistema, [Rom]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 450
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: Temi di discussione / Banca d'Italia ; number 1438 (February 2024)
    Subjects: gender bias; research institutions; professional labor markets; word embeddings
    Scope: 1 Online-Ressource (circa 56 Seiten), Illustrationen
  5. Gender stereotypes in user-generated content
    Author: Kerkhof, Anna; Reich, Valentin Ferdinand Michael
    Published: July 2023
    Publisher:  CESifo, Munich, Germany

    Gender stereotypes pose an important hurdle on the way to gender equality. It is difficult to quantify the problem, though, as stereotypical beliefs are often subconscious or not openly expressed. User-generated content (UGC) opens up novel... more

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    DS 63
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    Gender stereotypes pose an important hurdle on the way to gender equality. It is difficult to quantify the problem, though, as stereotypical beliefs are often subconscious or not openly expressed. User-generated content (UGC) opens up novel opportunities to overcome such challenges, as the anonymity of users may eliminate social pressures. This paper leverages over a million anonymous comments from a major German online discussion forum to study the prevalence and development of gender stereotypes over almost a decade. To that end, we develop an innovative and widely applicable text analysis procedure that overcomes conceptual challenges that arise whenever two variables in the training data are correlated, and changes in that correlation in the prediction sample are subject of examination themselves. Here, we apply the procedure to study the correlation between gender (i.e., does a comment discuss women or men) and gender stereotypical topics (e.g., work or family) in our comments, where we interpret a strong correlation as the presence of gender stereotypes. We find that men are indeed discussed relatively more often in the context of stereotypical male topics such as work and money, and that women are discussed relatively more often in the context of stereotypical female topics such as family, home, and physical appearance. While the prevalence of gender stereotypes related to stereotypical male topics diminishes over time, gender stereotypes related to female topics mostly persist.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/279329
    Series: CESifo working papers ; 10578 (2023)
    Subjects: gender bias; gender stereotypes; natural language processing; machine learning; user-generated content; word embeddings
    Scope: 1 Online-Ressource (circa 53 Seiten), Illustrationen
  6. „The Vectorian“ – Eine parametrisierbare Suchmaschine für intertextuelle Referenzen
    Author: Liebl, Bernhard; Burghardt, Manuel
    Published: 2024
    Publisher:  Universitätsbibliothek Leipzig, Leipzig

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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Online
    Other identifier:
    Subjects: Intertextualität; Deutsch; Digital Humanities; Suchmaschine; Rezeption
    Other subjects: intertextuality; text reuse; information retrieval; NLP; word embeddings
    Scope: Online-Ressource
    Notes:

    In: DHd 2020 Spielräume : Digital Humanities zwischen Modellierung und Interpretation. Konferenzabstracts. S. 232-235
  7. A word embedding approach to onomasiological search in multilingual loanword lexicography
    Author: Meyer, Peter; Tu, Ngoc Duyen Tanja
    Published: 2021
    Publisher:  Leibniz-Institut für Deutsche Sprache (IDS), Mannheim ; Lexical Computing CZ s.r.o., Brno

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    Source: Union catalogues
    Contributor: Kosem, Iztok (Herausgeber); Cukr, Michal (Herausgeber); Jakubíček, Miloš (Herausgeber); Kallas, Jelena (Herausgeber); Krek, Simon (Herausgeber); Tiberius, Carole (Herausgeber)
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Subjects: Onomasiologie; Lexikografie; Mehrsprachigkeit; Lehnwort; Semantik; Computerunterstützte Lexikografie; Datenbank
    Other subjects: onomasiological search; word embeddings; multilingual lexicography; lexical borrowings; Lehnwortportal Deutsch (LWPD)
    Scope: Online-Ressource
    Notes:

    In: Electronic lexicography in the 21st century: post-editing lexicography. Proceedings of the eLex 2021 conference. 5–7 July 2021, virtual.. - Brno : Lexical Computing CZ s.r.o., 2021, S. 78-91
  8. Fanfiction R-rated – A Quantitative Study of Sensitive Topics in German Fanfiction
    Author: Häußler, Julian
    Published: 2023
    Publisher:  Universitäts- und Landesbibliothek, Darmstadt

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Other subjects: digital philology; digital humanities; fanfiction; semantics; corpus studies; word embeddings; keyword analysis; sentiment analysis; digital literary studies; digitale Literaturwissenschaft
    Scope: Online-Ressource
    Notes:

    In: Digital Philology | Evolving Scholarship in Digital Philology ; 7
  9. Semantische Suche mit Word Embeddings für ein mehrsprachiges Wörterbuchportal
    Author: Tu, Ngoc Duyen Tanja; Meyer, Peter
    Published: 2022
    Publisher:  Zenodo, Potsdam ; Leibniz-Institut für Deutsche Sprache (IDS), Mannheim

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    Source: Union catalogues
    Contributor: Geierhos, Michaela (Herausgeber)
    Language: German
    Media type: Book
    Format: Online
    Other identifier:
    Subjects: Deutsch; Semantik; Mehrsprachigkeit; Digital Humanities; Mehrsprachiges Wörterbuch; Programmierung; Lehnwort
    Other subjects: word embeddings
    Scope: Online-Ressource
    Notes:

    In: DHd2022: Kulturen des digitalen Gedächtnisses. Konferenzabstracts. Universität Potsdam & Fachhochschule Potsdam, 07. bis 11. März 2022. - Potsdam : Zenodo, 2022, S. 342-344