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link to political leaning of music consumption app
This commit is contained in:
Daniel Winkler
parent
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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en"><head>
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@ -179,6 +179,7 @@ with Vartan Bal and Valentyna Melnyk</p>
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<p><strong>The Path to Fame - Exploiting Curator Networks to Predict Human Brand Success</strong><br>
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(presented at the Workshop for Information Systems and Economics, Marketing Science Conference, EMAC Doctoral Colloquium, EMAC Annual Conference, and Economics of the Music Industry)<br>
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with Nils Wlömert, Lev Muchnik, and Jacob Goldenberg</p>
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<p><a href="https://liaukonyte.dyson.cornell.edu/music/"><strong>Political Polarization Indices for Top Music Artists</strong></a> with Jūra Liaukonytė and Nils Wlömert</p>
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<p><a href="https://dwinkler.org/bdids/#/title-slide"><strong>B-DiD - A Dynamic Bayesian Approach to Difference-in-Differences</strong></a><br>
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(presented at Marketing Science Conference)<br>
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with Peter Knaus and Pascal Güntürkün</p>
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@ -37,6 +37,9 @@ Marketing Science Conference, EMAC Doctoral Colloquium, EMAC Annual
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Conference, and Economics of the Music Industry)\
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with Nils Wlömert, Lev Muchnik, and Jacob Goldenberg
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[**Political Polarization Indices for Top Music Artists**](https://liaukonyte.dyson.cornell.edu/music/)
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with Jūra Liaukonytė and Nils Wlömert
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[**B-DiD - A Dynamic Bayesian Approach to Difference-in-Differences**](https://dwinkler.org/bdids/#/title-slide)\
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(presented at Marketing Science Conference)\
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with Peter Knaus and Pascal Güntürkün
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32
search.json
32
search.json
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[
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"href": "software.html",
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"title": "Software",
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"section": "",
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"text": "Software\n shrinkDSM: Efficient Bayesian Inference for Dynamic Survival Models with Shrinkage RClickhouse: Database interface for ClickHouse Chartmetric.jl: Scraping library for the Chartmetric API JSONLines.jl: Memory efficient, parallel JSONLines reader for larger-than-memory files"
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"objectID": "index.html",
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"href": "index.html",
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"title": "Hello and Welcome!",
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"section": "",
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"text": "Hello and Welcome!\n\n\n\nDepartment of Marketing Vienna University of Economics and Business Building D2, Entrance A Welthandelsplatz 1 1020, Vienna\ndw@dwinkler.org\n\n\n\nI am a PhD Candidate in Economics at the Vienna University of Economics and Business and a research associate in the Marketing Department at the Institute for Retailing & Data Science. \nMy research focuses on Quantitative Marketing, Platform and Social Media Analytics, and the Economics of the Music Industry. I explore how key stakeholders—such as streaming platforms, social media, activist groups, and technological innovations in content delivery and promotion—affect the dynamics of the music industry. \nMethodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.\n\nCurriculum Vitae"
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@ -39,7 +53,7 @@
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"href": "research.html",
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"title": "Research",
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"section": "",
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"text": "Separating the Artist from the Art: Social Media Boycotts, Platform Sanctions, and Music Consumption with Nils Wlömert and Jūra Liaukonytė\nThe Impact of Social Media on Music Demand: Evidence from a Quasi-Natural Experiment with Christian Hotz-Behofsits, Nils Wlömert, Dominik Papies, and Jūra Liaukonytė\nNegative Spillover Effects of Opt-out Defaults: Evidence from Organ Donation Policies with Pascal Güntürkün, Sinika Studte, Michel Clement, Eva-Maria Merz, Jonathan Tan, Elisabeth Huis in ’t Veld, and Eamonn Ferguson\nA Bayesian Survival Model for Time Varying Coefficients and Unobserved Heterogeneity\nwith Peter Knaus\n\n\n\n\nThe Personal Side of Human Brands: How Human Brand Messages on Social Media Drive Brand Consumption and Engagement\nwith Christian Hotz-Behofsits, Nils Wlömert, and Harald van Heerde\nThe Hot 100 - The Influence of Weather patterns and Music Consumption\nwith Vartan Bal and Valentyna Melnyk\nThe Path to Fame - Exploiting Curator Networks to Predict Human Brand Success\n(presented at the Workshop for Information Systems and Economics, Marketing Science Conference, EMAC Doctoral Colloquium, EMAC Annual Conference, and Economics of the Music Industry)\nwith Nils Wlömert, Lev Muchnik, and Jacob Goldenberg\nB-DiD - A Dynamic Bayesian Approach to Difference-in-Differences\n(presented at Marketing Science Conference)\nwith Peter Knaus and Pascal Güntürkün\n\n\n\nSystemic Immune-Inflammation Index (SII) Predicts Poor Survival in Pancreatic Cancer Patients Undergoing Resection (Journal of Gastrointestinal Surgery)\nwith Gerd Jomrich, Elisabeth S. Gruber, Marlene Hollenstein, Michael Gnantand, Klaus Sahora, and Martin Schindl, 2020\nExpression of FGF8, FGF18, and FGFR4 in Gastroesophageal Adenocarcinomas (Cells)\nwith Gerd Jomrich, Xenia Hudec, Felix Harpain, Gerald Timelthaler, Thomas Mohr, Brigitte Marian, and Sebastian F. Schoppmann, 2019\nMK2 and ETV1 Are Prgonistic Factors in Esophageal Adenocarcinomas (Journal of Cancer)\nwith Gerd Jomrich, Florian Maroske, Jasmin Stieger, Matthias Preusser, Aysegül Ilhan-Mutlu, Ivan Kristo, Matthias Paireder, and Sebastian F. Schoppmann, 2018"
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"text": "Separating the Artist from the Art: Social Media Boycotts, Platform Sanctions, and Music Consumption with Nils Wlömert and Jūra Liaukonytė\nThe Impact of Social Media on Music Demand: Evidence from a Quasi-Natural Experiment with Christian Hotz-Behofsits, Nils Wlömert, Dominik Papies, and Jūra Liaukonytė\nNegative Spillover Effects of Opt-out Defaults: Evidence from Organ Donation Policies with Pascal Güntürkün, Sinika Studte, Michel Clement, Eva-Maria Merz, Jonathan Tan, Elisabeth Huis in ’t Veld, and Eamonn Ferguson\nA Bayesian Survival Model for Time Varying Coefficients and Unobserved Heterogeneity\nwith Peter Knaus\n\n\n\n\nThe Personal Side of Human Brands: How Human Brand Messages on Social Media Drive Brand Consumption and Engagement\nwith Christian Hotz-Behofsits, Nils Wlömert, and Harald van Heerde\nThe Hot 100 - The Influence of Weather patterns and Music Consumption\nwith Vartan Bal and Valentyna Melnyk\nThe Path to Fame - Exploiting Curator Networks to Predict Human Brand Success\n(presented at the Workshop for Information Systems and Economics, Marketing Science Conference, EMAC Doctoral Colloquium, EMAC Annual Conference, and Economics of the Music Industry)\nwith Nils Wlömert, Lev Muchnik, and Jacob Goldenberg\nPolitical Polarization Indices for Top Music Artists with Jūra Liaukonytė and Nils Wlömert\nB-DiD - A Dynamic Bayesian Approach to Difference-in-Differences\n(presented at Marketing Science Conference)\nwith Peter Knaus and Pascal Güntürkün\n\n\n\nSystemic Immune-Inflammation Index (SII) Predicts Poor Survival in Pancreatic Cancer Patients Undergoing Resection (Journal of Gastrointestinal Surgery)\nwith Gerd Jomrich, Elisabeth S. Gruber, Marlene Hollenstein, Michael Gnantand, Klaus Sahora, and Martin Schindl, 2020\nExpression of FGF8, FGF18, and FGFR4 in Gastroesophageal Adenocarcinomas (Cells)\nwith Gerd Jomrich, Xenia Hudec, Felix Harpain, Gerald Timelthaler, Thomas Mohr, Brigitte Marian, and Sebastian F. Schoppmann, 2019\nMK2 and ETV1 Are Prgonistic Factors in Esophageal Adenocarcinomas (Journal of Cancer)\nwith Gerd Jomrich, Florian Maroske, Jasmin Stieger, Matthias Preusser, Aysegül Ilhan-Mutlu, Ivan Kristo, Matthias Paireder, and Sebastian F. Schoppmann, 2018"
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@ -53,7 +67,7 @@
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"href": "research.html#work-in-progress",
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"title": "Research",
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"section": "",
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"text": "The Personal Side of Human Brands: How Human Brand Messages on Social Media Drive Brand Consumption and Engagement\nwith Christian Hotz-Behofsits, Nils Wlömert, and Harald van Heerde\nThe Hot 100 - The Influence of Weather patterns and Music Consumption\nwith Vartan Bal and Valentyna Melnyk\nThe Path to Fame - Exploiting Curator Networks to Predict Human Brand Success\n(presented at the Workshop for Information Systems and Economics, Marketing Science Conference, EMAC Doctoral Colloquium, EMAC Annual Conference, and Economics of the Music Industry)\nwith Nils Wlömert, Lev Muchnik, and Jacob Goldenberg\nB-DiD - A Dynamic Bayesian Approach to Difference-in-Differences\n(presented at Marketing Science Conference)\nwith Peter Knaus and Pascal Güntürkün"
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@ -68,19 +82,5 @@
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"title": "About",
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"text": "About this site"
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"objectID": "index.html",
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"href": "index.html",
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"title": "Hello and Welcome!",
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"section": "",
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"text": "Hello and Welcome!\n\n\n\nDepartment of Marketing Vienna University of Economics and Business Building D2, Entrance A Welthandelsplatz 1 1020, Vienna\ndw@dwinkler.org\n\n\n\nI am a PhD Candidate in Economics at the Vienna University of Economics and Business and a research associate in the Marketing Department at the Institute for Retailing & Data Science. \nMy research focuses on Quantitative Marketing, Platform and Social Media Analytics, and the Economics of the Music Industry. I explore how key stakeholders—such as streaming platforms, social media, activist groups, and technological innovations in content delivery and promotion—affect the dynamics of the music industry. \nMethodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.\n\nCurriculum Vitae"
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