Deutsch Aktuell 1 Textbook Answer Key

[Denisha Padley]

AlleVeranstaltungen in den nachfolgenden Tabellen werden in den Ankndigungen nach Semestern beschrieben. Fr Seminare gibt es ausfhrliche Zusatzinformation in Form von Steckbriefen auf den verlinkten Seiten.

Bitte bringen Sie Ihren Laptop mit zur Veranstaltung. Sollten Sie keinen Laptop zur Verfgung haben, geben Sie dem Dozenten bitte rechtzeitig Bescheid. Bitte installieren Sie vor der ersten Sitzung R und RStudio auf Ihrem PC:

The seminar will include two conceptual sessions, providing detailed instructions and help students get started on their project, and a block seminar in which students will present their seminar papers and discuss the work of their peers. We will discuss several data sources that students can use in their own applied research. The tools acquired in this seminar are supposed to equip students with the skill set to answer their own research questions and prepare them to write a Master thesis in applied economics.

Registration via email to Prof. Dr. Gassebner (deadline April 1, 2024). A list of topics is provided on the institute's web site. Note that there is an accompanying mandatory tutorial that will help the student to set up their own empirical research project.

Throughout the entire course, students are strongly encouraged to participate in class, solve problem sets of the biweekly R tutorial by coding themselves, discussing problems in the Forum on Stud.IP and/or contacting the lecturers (email/appointment).

Biweekly tutorials guide students through exercises in R (RStudio) with the goal of understanding more deeply the lecture content and having useful codes at hand for future applications. Therefore, within RStudio descriptive and empirical analyses will be conducted using real world data.

Financial markets are the backbone of the economy. The world is facing many challenges such as climate change, crime and international conflicts, ageing societies or economic disruptions. In this lecture series, faculty members of the School of Economics and Management will discuss how financial markets are related and/or might provide means to tackle these challenges.

Behandelt werden aktuelle Themen aus dem Bereich der Makrokomik, Politische konomie und Internationale konomie. Details zur Anmeldung finden Sie unter "Aktuelles auf der Webseite des Instituts fr Makrokonomik (www.mak.uni-hannover.de).

Teilnehmer welche eine angewandte wissenschaftliche Arbeit fertigen mchten mssen zuvor zwei Programme auf ihren eigenen Computer installieren (R und R-Studio). Beachten Sie bitte, dass Sie zuvor R und danach erst R-Studio installieren mssen.

The goal of the course include is to analyse and understand the drivers of macroeconomic outcomes: GDP, per capita income, investment and consumption, employment. This course is largely concerned with:

This block course is designed to equip students with a solid foundation in empirical research methods and statistical programming using the R programming language. The course integrates theoretical concepts with hands-on practical applications to develop students' skills in conducting empirical analyses and interpreting data. Throughout the course, students will learn the basic building blogs of the R programming languange, and explore various topics and techniques essential for empirical research, including data collection, data visualization, statistical analysis, causal inference, and interpretation of results. A special focus of the course is causal inference, i.e. the discussion of endogeneity issues and how to solve them with state-of-the-art identification strategies like Regression Discontinuity Designs or Difference-in-Differences estimations.

In this course, students will study the most defining moments of economic development, and learn about the causal inference methods to empirically estimate their causes and effects. The course will begin with studying the transition from hunter-gatherer tribes to farming societies during the Neolithic Revolution and take off to discuss periods of cultural evolution, state formation, political transition, and industrial revolutions. We will put special emphasis on the application of causal inference methods to investigate the causal drivers and consequences of these transformatory periods. The course will therefore consist of practical elements where we will apply econometric methods and replicate scientific papers.

Registration via email to Prof. Dr. Gassebner (deadline April 10, 2023). A list of topics is provided on the institute's web site. Note that there is an accompanying mandatory tutorial that will help the student to set up their own empirical research project.

Financial markets are the backbone of the economy. The world is facing many challenges such as climate change, crime and international conflicts, ageing societies or economic disruptions. In this lecture series, faculty members of the School of Economics and Management will discuss how financial markets are related and/or might provide means to tackle these challenges. After attending the lecture series, students can pick one specific topic and write a term paper (Hausarbeit) supervised by the corresponding faculty member.

This course covers the recent scientific findings on how our current economic system developed. Special emphasis will be given on the econometric tools used by the researchers to plausibly identify causal historical economic linkages. The goal of the course is to give students a better understanding of the econometric methods and data sources used to investigate the (long run) effects of significant historical events. The course will cover both Cliometrics (the analysis of past economic relationships with the modern econometric toolkit) as well as persistent studies (identifying the effect past events have on today's differences in economic activity).

Students are expected to use the statistical program R during the course. The complementary tutorials are meant to teach the basics of applying R to answer empirical historical questions. Prior knowledge in econometrics and using R is not mandatory but recommended.

We begin by introducing quantitative approaches to development economics, namely quasi-experiments. By using state of the art papers, we will teach you these approaches. A further focus will lie on introducing you to relevant literature and teaching you to assess these papers critically. Hence, you will be asked to submit a referee report by the end of December, which will make up 20% of your final mark.

To conclude, this lecture aims at giving you the tools to reproduce and understand up-to-date quantitative approaches, present to you relevant literature in this area, and finally, spur critical thinking in you. Therefore, we will provide room for interactive participation and expect you to partake in discussions. For a more personal and inviting environment, we strongly support a switch-on-your-camera-please policy.

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