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DTSTART:20070311T020000
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DTSTAMP:20251025T123157
DTSTART;TZID=America/Detroit:20251010T130000
DTEND;TZID=America/Detroit:20251010T140000
SUMMARY:Careers / Jobs:Resume Lab
DESCRIPTION:*RSVP required to attend. Click \"Join Event\" here: https://umich.joinhandshake.com/edu/events/1827256Just getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you’re at Resume Lab is a great next step for you. Get real-time\, personalized support in a small group setting by checking out the Resume Lab. We will discuss and educate you on…- Design and format- Writing a great bullet point- Targeting your resume for specific internships/jobs If you're a Graduate Student or Recent Grad\, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates. Note: This event's information is shown in Handshake as well as on theHappening @ Michigan calendar so that it will be seen by a larger number of U-M Students.
UID:139640-21885834@events.umich.edu
URL:https://events.umich.edu/event/139640
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:University Career Center, 3200 Student Activities Building, Program Room (3003), 515 E Jefferson St, Ann Arbor, MI, United States
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251007T081316
DTSTART;TZID=America/Detroit:20251010T130000
DTEND;TZID=America/Detroit:20251010T142000
SUMMARY:Workshop / Seminar:Score-Augmented Frobenius Distance and Its Applications in Causal Inference
DESCRIPTION:This paper proposes a novel method for causal inference in panel settings with network-valued outcomes by introducing the score augmented Frobenius distance\, a metric that compares networks after sorting their adjacency matrices by node-level structural scores. These scores\, which incorporate both observed covariates and structural features (e.g.\, centrality)\, serve to align nodes across networks under the assumption that structural roles\, rather than identities\, drive treatment effects. This sorting induces an equivalence class over node permutations\, allowing valid comparisons between networks with unobserved heterogeneity. This paper demonstrates how score-augmented Frobenius distance can be applied to extend standard difference-in-differences and synthetic control methods to settings where observations are networks. The framework applies to a variety of empirical settings\, including social networks\, trade networks\, and institutional relationships\, where interventions affect structural properties rather than specific node labels.
UID:140369-21886994@events.umich.edu
URL:https://events.umich.edu/event/140369
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Econometrics,Economics,seminar
LOCATION:Lorch Hall - 301
CONTACT:
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