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DTSTART;TZID=Europe/Berlin:20261001T090000
DTEND;TZID=Europe/Berlin:20261001T170000
DTSTAMP:20260714T112718Z
CREATED:20260714T111727Z
LAST-MODIFIED:20260714T112718Z
UID:987506374-1790845200-1790874000@cgde-home.de
SUMMARY:Presentation Skills and Good Scientific Writing
DESCRIPTION:Course type\nIWH-DPE Skill Course\, Special Courses \nLecturer\nTim Korver (Individual English Training\, Munich) \nSummary\nPresentation Skills | An effective and successful scientific presentation convinces the audience that the research offers a valuable and relevant contribution to the field. To accomplish this\, researchers must deliver a clear\, engaging\, and easy-to-follow narrative. \nEffective presentations strike a balance between key elements: \n\nBuilding a logical and persuasive argument\nDemonstrating your credibility through body language & voice\nClearly conveying key takeaways\nManaging the Q&A effectively\n\nThis workshop will enhance presentation skills and techniques with a focus on making it easier for the audience to follow—an essential responsibility of any presenter. Participants will also gain a structured approach to using rhetorical techniques for clearer communication. In the workshop\, you will have the opportunity to prepare and deliver short presentations and develop strategies for handling audience questions. \nWorkshop activities include: \n\nStructuring presentations for clarity and impact\nEnhancing credibility with gestures and vocal delivery\nHighlighting key messages effectively\nDelivering a three-minute thesis presentation\nHandling audience questions with confidence\n\nPlease prepare a 6 to 8-minute presentation on your current research. If you do not yet have results\, you may base it on your Master’s research. \nGood Scientific Writing | Clarity is one of the most essential qualities of strong scientific writing. It allows researchers to communicate their findings as effectively as possible in academic publications. To meet the standards of scientific journals\, your writing must convey ideas clearly\, efficiently\, and with a sense of precision and elegance. This means choosing simple\, well-structured language at every level—within sentences\, across paragraphs\, and throughout the entire text. \nBut what exactly makes a text well-written? And why do some papers feel easier to follow\, with a stronger sense of flow and coherence? \nIn this seminar\, you will learn how to write clear\, journal-style texts that meet the expectations of scientific publication. We will explore a range of writing techniques aimed at improving clarity\, conciseness\, and coherence—skills essential for effective academic communication. \nTo write well\, it also helps to understand how readers read. Insights into how the brain processes written language can help you craft texts that are easier to read and understand\, making your work more accessible to peers and reviewers. \nThe seminar follows an interactive format\, using a variety of activities and feedback to support learning. We begin with sentence-level exercises designed to address common issues that hinder clarity and reader comprehension. A comprehensive seminar handout accompanies the training\, summarizing key principles and practical techniques for writing strong scientific texts \nDuring the seminar\, you will work on the following aspects of scientific writing: \n\nAchieve clarity and conciseness by simplifying sentence structure and vocabulary\nEnsure cohesion through effective linking and logical text structure\nWrite with the reader in mind to enhance comprehension\nDevelop well-reasoned and structured arguments\nOrganize sentences and paragraphs for better flow\nEstablish overall coherence across the entire text\nUse correct verb tenses and punctuation consistently\nApply active and passive voice appropriately\nCraft effective titles and abstracts\n\nPlease bring or prepare an abstract of your research. This text will be used during the seminar for hands-on editing and feedback exercises. \nIn addition\, please bring along other samples of your scientific writing. These will serve as a basis for applying the techniques discussed in the seminar to your own work. \nSchedule\n01.10.2026     09:00-17:00 (incl. breaks)            IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n02.10.2026     08:30-16:30 (incl. breaks)           IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/presentation-skills-and-good-scientific-writing/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20261001T090000
DTEND;TZID=Europe/Berlin:20261001T170000
DTSTAMP:20260714T112718Z
CREATED:20260714T111727Z
LAST-MODIFIED:20260714T112718Z
UID:987506374-1790845200-1790874000@cgde-home.de
SUMMARY:Presentation Skills and Good Scientific Writing
DESCRIPTION:Course type\nIWH-DPE Skill Course\, Special Courses \nLecturer\nTim Korver (Individual English Training\, Munich) \nSummary\nPresentation Skills | An effective and successful scientific presentation convinces the audience that the research offers a valuable and relevant contribution to the field. To accomplish this\, researchers must deliver a clear\, engaging\, and easy-to-follow narrative. \nEffective presentations strike a balance between key elements: \n\nBuilding a logical and persuasive argument\nDemonstrating your credibility through body language & voice\nClearly conveying key takeaways\nManaging the Q&A effectively\n\nThis workshop will enhance presentation skills and techniques with a focus on making it easier for the audience to follow—an essential responsibility of any presenter. Participants will also gain a structured approach to using rhetorical techniques for clearer communication. In the workshop\, you will have the opportunity to prepare and deliver short presentations and develop strategies for handling audience questions. \nWorkshop activities include: \n\nStructuring presentations for clarity and impact\nEnhancing credibility with gestures and vocal delivery\nHighlighting key messages effectively\nDelivering a three-minute thesis presentation\nHandling audience questions with confidence\n\nPlease prepare a 6 to 8-minute presentation on your current research. If you do not yet have results\, you may base it on your Master’s research. \nGood Scientific Writing | Clarity is one of the most essential qualities of strong scientific writing. It allows researchers to communicate their findings as effectively as possible in academic publications. To meet the standards of scientific journals\, your writing must convey ideas clearly\, efficiently\, and with a sense of precision and elegance. This means choosing simple\, well-structured language at every level—within sentences\, across paragraphs\, and throughout the entire text. \nBut what exactly makes a text well-written? And why do some papers feel easier to follow\, with a stronger sense of flow and coherence? \nIn this seminar\, you will learn how to write clear\, journal-style texts that meet the expectations of scientific publication. We will explore a range of writing techniques aimed at improving clarity\, conciseness\, and coherence—skills essential for effective academic communication. \nTo write well\, it also helps to understand how readers read. Insights into how the brain processes written language can help you craft texts that are easier to read and understand\, making your work more accessible to peers and reviewers. \nThe seminar follows an interactive format\, using a variety of activities and feedback to support learning. We begin with sentence-level exercises designed to address common issues that hinder clarity and reader comprehension. A comprehensive seminar handout accompanies the training\, summarizing key principles and practical techniques for writing strong scientific texts \nDuring the seminar\, you will work on the following aspects of scientific writing: \n\nAchieve clarity and conciseness by simplifying sentence structure and vocabulary\nEnsure cohesion through effective linking and logical text structure\nWrite with the reader in mind to enhance comprehension\nDevelop well-reasoned and structured arguments\nOrganize sentences and paragraphs for better flow\nEstablish overall coherence across the entire text\nUse correct verb tenses and punctuation consistently\nApply active and passive voice appropriately\nCraft effective titles and abstracts\n\nPlease bring or prepare an abstract of your research. This text will be used during the seminar for hands-on editing and feedback exercises. \nIn addition\, please bring along other samples of your scientific writing. These will serve as a basis for applying the techniques discussed in the seminar to your own work. \nSchedule\n01.10.2026     09:00-17:00 (incl. breaks)            IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n02.10.2026     08:30-16:30 (incl. breaks)           IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/presentation-skills-and-good-scientific-writing/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20261016T093000
DTEND;TZID=Europe/Berlin:20261016T150000
DTSTAMP:20250917T094426Z
CREATED:20250917T093525Z
LAST-MODIFIED:20250917T094426Z
UID:987505621-1792143000-1792162800@cgde-home.de
SUMMARY:Macroeconomics III
DESCRIPTION:Course type\nIWH-DPE Foundation Course\, CGDE First-year Course \nLecturers\nProfessor Dr Matthias Meier (U Mannheim) and Professor Dr Malte Rieth (MLU) \nSummary\nThis is the third course of the first-year triple sequence in Macroeconomics. \nThe focus of the first part of this course is on the implications of heterogeneous agents in macroeconomics. In doing so\, this course introduces basic tools of modern macroeconomics and discusses various applications. The main topics of this course are consumption and savings choices by households and investment choices by firms\, with a particular emphasis on the role of imperfect credit markets for both households and firms. The course aims to connect tightly with empirical evidence and to analyze the scope for government interventions. \nThe second part of the course introduces basic concepts of time series analysis\, including short examples and applications to illustrate the statistical concepts. We first cover univariate time series\, focusing on stationary and a short treatment of non-stationary data. We then consider multivariate time series models in the form of vector autoregressions in both reduced form and structural form. \nSchedule\n16.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n30.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n13.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n27.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nContent\n\nCredit Market Frictions\nHeterogeneous Consumers\nHeterogeneous Firms\nTime Series\n\nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nInformation on examination and grading regulations will be provided in the first half of 2026. \nRequired Reading\n1. Credit Market Frictions\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n2 Heterogeneous Consumers\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n3. Heterogeneous Firms\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n4. Time Series\nHamilton\, J. (1994). Time Series Analysis. Princeton University Press. \nEnders\, W. (2004). Applied Econometric Time Series. 2nd Edition. Wiley. \nLütkepohl\, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. \nKilian\, L.\, Lütkepohl\, H. (2017). Structural Vector Autoregressive Analysis. Cambridge University Press. \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/macroeconomics-iii/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:First-Year Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/first_year_courses.svg
ORGANIZER;CN="Professor Dr Matthias Meier":MAILTO:m.meier@uni-mannheim.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20261016T093000
DTEND;TZID=Europe/Berlin:20261016T150000
DTSTAMP:20250917T094426Z
CREATED:20250917T093525Z
LAST-MODIFIED:20250917T094426Z
UID:987505621-1792143000-1792162800@cgde-home.de
SUMMARY:Macroeconomics III
DESCRIPTION:Course type\nIWH-DPE Foundation Course\, CGDE First-year Course \nLecturers\nProfessor Dr Matthias Meier (U Mannheim) and Professor Dr Malte Rieth (MLU) \nSummary\nThis is the third course of the first-year triple sequence in Macroeconomics. \nThe focus of the first part of this course is on the implications of heterogeneous agents in macroeconomics. In doing so\, this course introduces basic tools of modern macroeconomics and discusses various applications. The main topics of this course are consumption and savings choices by households and investment choices by firms\, with a particular emphasis on the role of imperfect credit markets for both households and firms. The course aims to connect tightly with empirical evidence and to analyze the scope for government interventions. \nThe second part of the course introduces basic concepts of time series analysis\, including short examples and applications to illustrate the statistical concepts. We first cover univariate time series\, focusing on stationary and a short treatment of non-stationary data. We then consider multivariate time series models in the form of vector autoregressions in both reduced form and structural form. \nSchedule\n16.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n30.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n13.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n27.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nContent\n\nCredit Market Frictions\nHeterogeneous Consumers\nHeterogeneous Firms\nTime Series\n\nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nInformation on examination and grading regulations will be provided in the first half of 2026. \nRequired Reading\n1. Credit Market Frictions\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n2 Heterogeneous Consumers\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n3. Heterogeneous Firms\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n4. Time Series\nHamilton\, J. (1994). Time Series Analysis. Princeton University Press. \nEnders\, W. (2004). Applied Econometric Time Series. 2nd Edition. Wiley. \nLütkepohl\, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. \nKilian\, L.\, Lütkepohl\, H. (2017). Structural Vector Autoregressive Analysis. Cambridge University Press. \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/macroeconomics-iii/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:First-Year Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/first_year_courses.svg
ORGANIZER;CN="Professor Dr Matthias Meier":MAILTO:m.meier@uni-mannheim.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20261016T093000
DTEND;TZID=Europe/Berlin:20261016T150000
DTSTAMP:20250917T094426Z
CREATED:20250917T093525Z
LAST-MODIFIED:20250917T094426Z
UID:987505621-1792143000-1792162800@cgde-home.de
SUMMARY:Macroeconomics III
DESCRIPTION:Course type\nIWH-DPE Foundation Course\, CGDE First-year Course \nLecturers\nProfessor Dr Matthias Meier (U Mannheim) and Professor Dr Malte Rieth (MLU) \nSummary\nThis is the third course of the first-year triple sequence in Macroeconomics. \nThe focus of the first part of this course is on the implications of heterogeneous agents in macroeconomics. In doing so\, this course introduces basic tools of modern macroeconomics and discusses various applications. The main topics of this course are consumption and savings choices by households and investment choices by firms\, with a particular emphasis on the role of imperfect credit markets for both households and firms. The course aims to connect tightly with empirical evidence and to analyze the scope for government interventions. \nThe second part of the course introduces basic concepts of time series analysis\, including short examples and applications to illustrate the statistical concepts. We first cover univariate time series\, focusing on stationary and a short treatment of non-stationary data. We then consider multivariate time series models in the form of vector autoregressions in both reduced form and structural form. \nSchedule\n16.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n30.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n13.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n27.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nContent\n\nCredit Market Frictions\nHeterogeneous Consumers\nHeterogeneous Firms\nTime Series\n\nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nInformation on examination and grading regulations will be provided in the first half of 2026. \nRequired Reading\n1. Credit Market Frictions\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n2 Heterogeneous Consumers\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n3. Heterogeneous Firms\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n4. Time Series\nHamilton\, J. (1994). Time Series Analysis. Princeton University Press. \nEnders\, W. (2004). Applied Econometric Time Series. 2nd Edition. Wiley. \nLütkepohl\, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. \nKilian\, L.\, Lütkepohl\, H. (2017). Structural Vector Autoregressive Analysis. Cambridge University Press. \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/macroeconomics-iii/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:First-Year Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/first_year_courses.svg
ORGANIZER;CN="Professor Dr Matthias Meier":MAILTO:m.meier@uni-mannheim.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20261016T093000
DTEND;TZID=Europe/Berlin:20261016T150000
DTSTAMP:20250917T094426Z
CREATED:20250917T093525Z
LAST-MODIFIED:20250917T094426Z
UID:987505621-1792143000-1792162800@cgde-home.de
SUMMARY:Macroeconomics III
DESCRIPTION:Course type\nIWH-DPE Foundation Course\, CGDE First-year Course \nLecturers\nProfessor Dr Matthias Meier (U Mannheim) and Professor Dr Malte Rieth (MLU) \nSummary\nThis is the third course of the first-year triple sequence in Macroeconomics. \nThe focus of the first part of this course is on the implications of heterogeneous agents in macroeconomics. In doing so\, this course introduces basic tools of modern macroeconomics and discusses various applications. The main topics of this course are consumption and savings choices by households and investment choices by firms\, with a particular emphasis on the role of imperfect credit markets for both households and firms. The course aims to connect tightly with empirical evidence and to analyze the scope for government interventions. \nThe second part of the course introduces basic concepts of time series analysis\, including short examples and applications to illustrate the statistical concepts. We first cover univariate time series\, focusing on stationary and a short treatment of non-stationary data. We then consider multivariate time series models in the form of vector autoregressions in both reduced form and structural form. \nSchedule\n16.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n30.10.2026          09:30-11:00 and 13:30-15:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n13.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room\n27.11.2026          10:30-12:00 and 12:30-14:00      IWH\, Leipziger Str. 100\, 3rd floor\, Conference Room \nContent\n\nCredit Market Frictions\nHeterogeneous Consumers\nHeterogeneous Firms\nTime Series\n\nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nInformation on examination and grading regulations will be provided in the first half of 2026. \nRequired Reading\n1. Credit Market Frictions\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n2 Heterogeneous Consumers\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n3. Heterogeneous Firms\nAzzimonti\, M.\, Krusell\, P.\, McKay\, A. & Mukoyama\, T. (2025). Macroeconomics. Chapter 4. https://phdmacrobook.org/ \n4. Time Series\nHamilton\, J. (1994). Time Series Analysis. Princeton University Press. \nEnders\, W. (2004). Applied Econometric Time Series. 2nd Edition. Wiley. \nLütkepohl\, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. \nKilian\, L.\, Lütkepohl\, H. (2017). Structural Vector Autoregressive Analysis. Cambridge University Press. \nRegistration\nPlease register for the course until August 31\, 2026 by sending an e-mail to cgde@iwh-halle.de.
URL:https://cgde-home.de/event/macroeconomics-iii/
LOCATION:Halle Institute for Economic Research (IWH) – Member of the Leibniz Association\, Leipziger Straße 100\, 06108 Halle (Saale)\, conference room\, 3rd floor\, Leipziger Strasse 100\, Halle (Saale)\, Saxony-Anhalt\, 06108\, Germany
CATEGORIES:First-Year Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/first_year_courses.svg
ORGANIZER;CN="Professor Dr Matthias Meier":MAILTO:m.meier@uni-mannheim.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270105T120000
DTEND;TZID=Europe/Berlin:20270105T163000
DTSTAMP:20260309T095229Z
CREATED:20260121T085757Z
LAST-MODIFIED:20260309T095229Z
UID:987506111-1799150400-1799166600@cgde-home.de
SUMMARY:Text Data in Economics
DESCRIPTION:Special Courses\nText Data in Economics \nLecturer\nDr Benjamin Arold (University of Cambridge) \nSummary\nMuch of human knowledge is stored in unstructured formats\, in particular in written text. This course teaches methods to process and analyze text data. The learning goals are to understand the structure and concept text-as-data methods\, and to evaluate the use of text-analysis tools in economics research. The course will conclude with an overview of non-standard data in economics beyond text\, in particular audio data and image data. The course covers 10 topics\, see below. For most topics\, a theoretical lecture will be provided first\, followed by a discussion of a recent research paper in economics/NLP. This paper discussion will be conducted as a collaborative seminar\, where students will take turns to present and discuss the papers. \nSchedule\n05.01.2027: 12:00-16:30\n06.01.2027: 12:00-16:30\n07.01.2027: 12:00-16:30\n08.01.2027: 10:00-14:30 \nVenue\nifo Institute Dresden \nContent\n– Overview\n– Dictionaries\n– Tokenization & Distance\n– Unsupervised and Supervised ML with Text\n– Word Embeddings and Linguistic Parsing\n– Embedding Sequences with Attention\, LLMs\n– Generative AI; and Using Transformers for YOUR Research\n– Image Data in Business & Economics\n– Audio Data in Business & Economics\n– Ethical Considerations \nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nThe final assessment consists of a short research paper in which each student develops an original research design using text as data or other non-standard data covered in the course. The paper should state a clear research question\, situate it in the relevant literature\, and outline the proposed empirical design. This includes the data sources\, the text or image or audio processing methods to be used\, the measurement strategy\, and where applicable the identification approach. Students should also reflect on relevant methodological and ethical issues discussed in the course. The focus is on demonstrating a sound understanding of text as data methods and their appropriate use in economic research\, rather than on producing completed empirical results. \nRequired reading\n9 recent scientific papers in applied economics\, using NLP or related methods. The list of papers will be communicated with the students before the course. \nRegistration\nPlease register for the course until November 30\, 2026 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nSubject\nRegistration Text Data in Economics.
URL:https://cgde-home.de/event/special-courses-text-data-in-economics/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270105T120000
DTEND;TZID=Europe/Berlin:20270105T163000
DTSTAMP:20260309T095229Z
CREATED:20260121T085757Z
LAST-MODIFIED:20260309T095229Z
UID:987506111-1799150400-1799166600@cgde-home.de
SUMMARY:Text Data in Economics
DESCRIPTION:Special Courses\nText Data in Economics \nLecturer\nDr Benjamin Arold (University of Cambridge) \nSummary\nMuch of human knowledge is stored in unstructured formats\, in particular in written text. This course teaches methods to process and analyze text data. The learning goals are to understand the structure and concept text-as-data methods\, and to evaluate the use of text-analysis tools in economics research. The course will conclude with an overview of non-standard data in economics beyond text\, in particular audio data and image data. The course covers 10 topics\, see below. For most topics\, a theoretical lecture will be provided first\, followed by a discussion of a recent research paper in economics/NLP. This paper discussion will be conducted as a collaborative seminar\, where students will take turns to present and discuss the papers. \nSchedule\n05.01.2027: 12:00-16:30\n06.01.2027: 12:00-16:30\n07.01.2027: 12:00-16:30\n08.01.2027: 10:00-14:30 \nVenue\nifo Institute Dresden \nContent\n– Overview\n– Dictionaries\n– Tokenization & Distance\n– Unsupervised and Supervised ML with Text\n– Word Embeddings and Linguistic Parsing\n– Embedding Sequences with Attention\, LLMs\n– Generative AI; and Using Transformers for YOUR Research\n– Image Data in Business & Economics\n– Audio Data in Business & Economics\n– Ethical Considerations \nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nThe final assessment consists of a short research paper in which each student develops an original research design using text as data or other non-standard data covered in the course. The paper should state a clear research question\, situate it in the relevant literature\, and outline the proposed empirical design. This includes the data sources\, the text or image or audio processing methods to be used\, the measurement strategy\, and where applicable the identification approach. Students should also reflect on relevant methodological and ethical issues discussed in the course. The focus is on demonstrating a sound understanding of text as data methods and their appropriate use in economic research\, rather than on producing completed empirical results. \nRequired reading\n9 recent scientific papers in applied economics\, using NLP or related methods. The list of papers will be communicated with the students before the course. \nRegistration\nPlease register for the course until November 30\, 2026 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nSubject\nRegistration Text Data in Economics.
URL:https://cgde-home.de/event/special-courses-text-data-in-economics/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270105T120000
DTEND;TZID=Europe/Berlin:20270105T163000
DTSTAMP:20260309T095229Z
CREATED:20260121T085757Z
LAST-MODIFIED:20260309T095229Z
UID:987506111-1799150400-1799166600@cgde-home.de
SUMMARY:Text Data in Economics
DESCRIPTION:Special Courses\nText Data in Economics \nLecturer\nDr Benjamin Arold (University of Cambridge) \nSummary\nMuch of human knowledge is stored in unstructured formats\, in particular in written text. This course teaches methods to process and analyze text data. The learning goals are to understand the structure and concept text-as-data methods\, and to evaluate the use of text-analysis tools in economics research. The course will conclude with an overview of non-standard data in economics beyond text\, in particular audio data and image data. The course covers 10 topics\, see below. For most topics\, a theoretical lecture will be provided first\, followed by a discussion of a recent research paper in economics/NLP. This paper discussion will be conducted as a collaborative seminar\, where students will take turns to present and discuss the papers. \nSchedule\n05.01.2027: 12:00-16:30\n06.01.2027: 12:00-16:30\n07.01.2027: 12:00-16:30\n08.01.2027: 10:00-14:30 \nVenue\nifo Institute Dresden \nContent\n– Overview\n– Dictionaries\n– Tokenization & Distance\n– Unsupervised and Supervised ML with Text\n– Word Embeddings and Linguistic Parsing\n– Embedding Sequences with Attention\, LLMs\n– Generative AI; and Using Transformers for YOUR Research\n– Image Data in Business & Economics\n– Audio Data in Business & Economics\n– Ethical Considerations \nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nThe final assessment consists of a short research paper in which each student develops an original research design using text as data or other non-standard data covered in the course. The paper should state a clear research question\, situate it in the relevant literature\, and outline the proposed empirical design. This includes the data sources\, the text or image or audio processing methods to be used\, the measurement strategy\, and where applicable the identification approach. Students should also reflect on relevant methodological and ethical issues discussed in the course. The focus is on demonstrating a sound understanding of text as data methods and their appropriate use in economic research\, rather than on producing completed empirical results. \nRequired reading\n9 recent scientific papers in applied economics\, using NLP or related methods. The list of papers will be communicated with the students before the course. \nRegistration\nPlease register for the course until November 30\, 2026 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nSubject\nRegistration Text Data in Economics.
URL:https://cgde-home.de/event/special-courses-text-data-in-economics/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270105T120000
DTEND;TZID=Europe/Berlin:20270105T163000
DTSTAMP:20260309T095229Z
CREATED:20260121T085757Z
LAST-MODIFIED:20260309T095229Z
UID:987506111-1799150400-1799166600@cgde-home.de
SUMMARY:Text Data in Economics
DESCRIPTION:Special Courses\nText Data in Economics \nLecturer\nDr Benjamin Arold (University of Cambridge) \nSummary\nMuch of human knowledge is stored in unstructured formats\, in particular in written text. This course teaches methods to process and analyze text data. The learning goals are to understand the structure and concept text-as-data methods\, and to evaluate the use of text-analysis tools in economics research. The course will conclude with an overview of non-standard data in economics beyond text\, in particular audio data and image data. The course covers 10 topics\, see below. For most topics\, a theoretical lecture will be provided first\, followed by a discussion of a recent research paper in economics/NLP. This paper discussion will be conducted as a collaborative seminar\, where students will take turns to present and discuss the papers. \nSchedule\n05.01.2027: 12:00-16:30\n06.01.2027: 12:00-16:30\n07.01.2027: 12:00-16:30\n08.01.2027: 10:00-14:30 \nVenue\nifo Institute Dresden \nContent\n– Overview\n– Dictionaries\n– Tokenization & Distance\n– Unsupervised and Supervised ML with Text\n– Word Embeddings and Linguistic Parsing\n– Embedding Sequences with Attention\, LLMs\n– Generative AI; and Using Transformers for YOUR Research\n– Image Data in Business & Economics\n– Audio Data in Business & Economics\n– Ethical Considerations \nCourse requirements\nAttendance at all lectures is mandatory and a prerequisite to take the exam. \nThe final assessment consists of a short research paper in which each student develops an original research design using text as data or other non-standard data covered in the course. The paper should state a clear research question\, situate it in the relevant literature\, and outline the proposed empirical design. This includes the data sources\, the text or image or audio processing methods to be used\, the measurement strategy\, and where applicable the identification approach. Students should also reflect on relevant methodological and ethical issues discussed in the course. The focus is on demonstrating a sound understanding of text as data methods and their appropriate use in economic research\, rather than on producing completed empirical results. \nRequired reading\n9 recent scientific papers in applied economics\, using NLP or related methods. The list of papers will be communicated with the students before the course. \nRegistration\nPlease register for the course until November 30\, 2026 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nSubject\nRegistration Text Data in Economics.
URL:https://cgde-home.de/event/special-courses-text-data-in-economics/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270524T100000
DTEND;TZID=Europe/Berlin:20270524T170000
DTSTAMP:20260422T115100Z
CREATED:20260304T084428Z
LAST-MODIFIED:20260422T115100Z
UID:987506253-1811152800-1811178000@cgde-home.de
SUMMARY:Quantitative Methods for Public Policy Evaluation
DESCRIPTION:Quantitative Methods for Public Policy Evaluation; Special Course\nLecturer: Prof. Dr. Albrecht Glitz (Universitat Pompeu Fabra\, Barcelona) \nRequired Activities\nTheory and practical sessions. \nOverview and Objectives\nThe main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations\, natural experiments\, the regression discontinuity design\, selection on observables\, difference-in-differences\, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the theory sessions\, each approach will be presented and illustrated with specific examples in the areas of labor economics\, health economics\, and the economics of education. In the practical sessions\, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare. \nSchedule\nMay 24\, 2027\, May 27\, 2027 or May 25\, 2027 – May 28\, 2027 (tbd in September 2026) \nPrerequisites\nThe participants of this course should be familiar with basic concepts of statistics and econometrics that are usually covered in an undergraduate degree in economics. \nCourse Outline\nThis course provides an overview of the following quantitative methods: \n\nRandomized Controlled Trials (RCTs)\nNatural Experiments\nRegression Discontinuity Designs\nSelection on Observables (Linear Regression\, Matching)\nDifference-in-Differences\, Event Studies\, Synthetic Control Methods\n\nRegistration\nPlease register for the course until March 31\, 2027 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nsubject: Quantitative Methods for Public Policy Evaluation.
URL:https://cgde-home.de/event/special-course-quantitative-methods-for-public-policy-evaluation/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270524T100000
DTEND;TZID=Europe/Berlin:20270524T170000
DTSTAMP:20260422T115100Z
CREATED:20260304T084428Z
LAST-MODIFIED:20260422T115100Z
UID:987506253-1811152800-1811178000@cgde-home.de
SUMMARY:Quantitative Methods for Public Policy Evaluation
DESCRIPTION:Quantitative Methods for Public Policy Evaluation; Special Course\nLecturer: Prof. Dr. Albrecht Glitz (Universitat Pompeu Fabra\, Barcelona) \nRequired Activities\nTheory and practical sessions. \nOverview and Objectives\nThe main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations\, natural experiments\, the regression discontinuity design\, selection on observables\, difference-in-differences\, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the theory sessions\, each approach will be presented and illustrated with specific examples in the areas of labor economics\, health economics\, and the economics of education. In the practical sessions\, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare. \nSchedule\nMay 24\, 2027\, May 27\, 2027 or May 25\, 2027 – May 28\, 2027 (tbd in September 2026) \nPrerequisites\nThe participants of this course should be familiar with basic concepts of statistics and econometrics that are usually covered in an undergraduate degree in economics. \nCourse Outline\nThis course provides an overview of the following quantitative methods: \n\nRandomized Controlled Trials (RCTs)\nNatural Experiments\nRegression Discontinuity Designs\nSelection on Observables (Linear Regression\, Matching)\nDifference-in-Differences\, Event Studies\, Synthetic Control Methods\n\nRegistration\nPlease register for the course until March 31\, 2027 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nsubject: Quantitative Methods for Public Policy Evaluation.
URL:https://cgde-home.de/event/special-course-quantitative-methods-for-public-policy-evaluation/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270524T100000
DTEND;TZID=Europe/Berlin:20270524T170000
DTSTAMP:20260422T115100Z
CREATED:20260304T084428Z
LAST-MODIFIED:20260422T115100Z
UID:987506253-1811152800-1811178000@cgde-home.de
SUMMARY:Quantitative Methods for Public Policy Evaluation
DESCRIPTION:Quantitative Methods for Public Policy Evaluation; Special Course\nLecturer: Prof. Dr. Albrecht Glitz (Universitat Pompeu Fabra\, Barcelona) \nRequired Activities\nTheory and practical sessions. \nOverview and Objectives\nThe main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations\, natural experiments\, the regression discontinuity design\, selection on observables\, difference-in-differences\, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the theory sessions\, each approach will be presented and illustrated with specific examples in the areas of labor economics\, health economics\, and the economics of education. In the practical sessions\, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare. \nSchedule\nMay 24\, 2027\, May 27\, 2027 or May 25\, 2027 – May 28\, 2027 (tbd in September 2026) \nPrerequisites\nThe participants of this course should be familiar with basic concepts of statistics and econometrics that are usually covered in an undergraduate degree in economics. \nCourse Outline\nThis course provides an overview of the following quantitative methods: \n\nRandomized Controlled Trials (RCTs)\nNatural Experiments\nRegression Discontinuity Designs\nSelection on Observables (Linear Regression\, Matching)\nDifference-in-Differences\, Event Studies\, Synthetic Control Methods\n\nRegistration\nPlease register for the course until March 31\, 2027 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nsubject: Quantitative Methods for Public Policy Evaluation.
URL:https://cgde-home.de/event/special-course-quantitative-methods-for-public-policy-evaluation/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270524T100000
DTEND;TZID=Europe/Berlin:20270524T170000
DTSTAMP:20260422T115100Z
CREATED:20260304T084428Z
LAST-MODIFIED:20260422T115100Z
UID:987506253-1811152800-1811178000@cgde-home.de
SUMMARY:Quantitative Methods for Public Policy Evaluation
DESCRIPTION:Quantitative Methods for Public Policy Evaluation; Special Course\nLecturer: Prof. Dr. Albrecht Glitz (Universitat Pompeu Fabra\, Barcelona) \nRequired Activities\nTheory and practical sessions. \nOverview and Objectives\nThe main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations\, natural experiments\, the regression discontinuity design\, selection on observables\, difference-in-differences\, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the theory sessions\, each approach will be presented and illustrated with specific examples in the areas of labor economics\, health economics\, and the economics of education. In the practical sessions\, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare. \nSchedule\nMay 24\, 2027\, May 27\, 2027 or May 25\, 2027 – May 28\, 2027 (tbd in September 2026) \nPrerequisites\nThe participants of this course should be familiar with basic concepts of statistics and econometrics that are usually covered in an undergraduate degree in economics. \nCourse Outline\nThis course provides an overview of the following quantitative methods: \n\nRandomized Controlled Trials (RCTs)\nNatural Experiments\nRegression Discontinuity Designs\nSelection on Observables (Linear Regression\, Matching)\nDifference-in-Differences\, Event Studies\, Synthetic Control Methods\n\nRegistration\nPlease register for the course until March 31\, 2027 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nsubject: Quantitative Methods for Public Policy Evaluation.
URL:https://cgde-home.de/event/special-course-quantitative-methods-for-public-policy-evaluation/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20270524T100000
DTEND;TZID=Europe/Berlin:20270524T170000
DTSTAMP:20260422T115100Z
CREATED:20260304T084428Z
LAST-MODIFIED:20260422T115100Z
UID:987506253-1811152800-1811178000@cgde-home.de
SUMMARY:Quantitative Methods for Public Policy Evaluation
DESCRIPTION:Quantitative Methods for Public Policy Evaluation; Special Course\nLecturer: Prof. Dr. Albrecht Glitz (Universitat Pompeu Fabra\, Barcelona) \nRequired Activities\nTheory and practical sessions. \nOverview and Objectives\nThe main challenge for policy evaluation is to establish a causal link between interventions and outcomes. The objective of this course is to introduce the main econometric approaches used in the evaluation of public policies: randomized evaluations\, natural experiments\, the regression discontinuity design\, selection on observables\, difference-in-differences\, and synthetic control methods. The course presents strengths and weaknesses of each approach in terms of internal and external validity. During the theory sessions\, each approach will be presented and illustrated with specific examples in the areas of labor economics\, health economics\, and the economics of education. In the practical sessions\, we will replicate the results of a prominent published study for each evaluation approach in Stata. Students are provided the corresponding data and code in advance so they can prepare. \nSchedule\nMay 24\, 2027\, May 27\, 2027 or May 25\, 2027 – May 28\, 2027 (tbd in September 2026) \nPrerequisites\nThe participants of this course should be familiar with basic concepts of statistics and econometrics that are usually covered in an undergraduate degree in economics. \nCourse Outline\nThis course provides an overview of the following quantitative methods: \n\nRandomized Controlled Trials (RCTs)\nNatural Experiments\nRegression Discontinuity Designs\nSelection on Observables (Linear Regression\, Matching)\nDifference-in-Differences\, Event Studies\, Synthetic Control Methods\n\nRegistration\nPlease register for the course until March 31\, 2027 by sending an e-mail to: yvonne.bludau@tu-dresden.de \nsubject: Quantitative Methods for Public Policy Evaluation.
URL:https://cgde-home.de/event/special-course-quantitative-methods-for-public-policy-evaluation/
LOCATION:ifo Institute Dresden\, Einsteinstraße 3\, 01069 Dresden\, 01069\, Germany
CATEGORIES:Special Courses
ATTACH;FMTTYPE=image/svg+xml:https://cgde-home.de/wp-content/uploads/2025/02/special_courses.svg
END:VEVENT
END:VCALENDAR