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CREATED:20260415T025628
DTSTAMP:20260415T025628
LAST-MODIFIED:20260415T025628
DTSTART;TZID=Europe/Berlin:20211110T140000Z
DTEND;TZID=Europe/Berlin:20211215T150000Z
DESCRIPTION:ECONtribute Applied Metrics Reading Group The theme of this semester will be Standard Errors. The idea: The goal is to brush up our knowledge of applied econometrics methods building on the latest findings in the econometrics literature. We will read 5-6 papers per semester on a topic relevant to applied researchers. For each paper, we will have a 1-hour meeting to discuss the paper, clarify open questions and identify key take-aways for applied work. Target audience: The reading group is aimed at applied researchers past their PhD coursework in both Bonn and Cologne. The rules of the game: (1) Most importantly, we would like to ask all participants to read the paper before the meeting so that we can have a real discussion. This is not supposed to be a lecture but instead we want to dive deep into the topic together. (2) In addition, we will randomly assign each participant a paper for which they’ll be the discussion leader. This only means that they’ll structure their reading notes in a way to guide the discussion and share them during the meeting. This does not mean preparing a proper presentation nor does this mean that you should have no open questions left about the paper. (3) If the group will be larger than 8-10 people, we will divide participants into two groups who first discuss the paper in detail for 40 minutes, and then have a big-group discussion of 20 minutes.   Next semester’s agenda: We will meet Wednesdays, 3-4 pm on Zoom, covering the following topics: Week 1: Overview (10 Nov) Week 2: Design-based uncertainty vs. sampling-based uncertainty (17 Nov) Week 3: Clustering (24 Nov) Week 4: Spatial correlation (01 Dec) Week 5: Multiple hypothesis testing (08 Dec) Week 6: Bootstrapping (15 Dec)   How to participate: Email Lena Janys (ljanys@uni-bonn.de) or Barbara Boelmann (barbara.boelmann@uni-koeln.de) to be included.
SUMMARY:ECONtribute Applied Metrics Reading Group " Winter Term 2021/2022
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