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I 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.
My 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. Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.
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I 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.
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My 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.
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Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.
diff --git a/index.qmd b/index.qmd
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@@ -26,7 +26,12 @@ Welthandelsplatz 1
I 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.
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+
My 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.
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+
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Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.
* [Curriculum Vitae](./files/CV_Winkler.pdf)
diff --git a/search.json b/search.json
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@@ -74,7 +74,7 @@
"href": "index.html",
"title": "Hello and Welcome!",
"section": "",
- "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. My 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. Methodologically, 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"
+ "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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