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DiD Digest

Beatriz Gietner

A curated digest of the latest developments in Difference-in-Differences methodology, featuring new papers, applications and insights from leading researchers. Suggestions welcome!

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Substack
PricingOnly free issuesPublishesWeekly
Issues22Foundeda year agoLast Issue2 months ago
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Latest Issues

The estimate is in the design

Hi there! Apologies for the disappearance! My thesis is due in a month so I was/am busy with that. There are 10 papers to catch up on, so we will start with four of them today and hopefully I can write another post next week.

I picked thes...

2 months ago
17

The outcomes you measure and the assumptions holding them up

Hi there!

Thank you (all 1553 of you) for being here for one year now :)

I wanted to close 2025 with a “banger” - meaning lots of banger papers - but I got distracted by the only 2 weeks I have of free-time in the year. Apologies. Also I...

5 months ago
8
3

On Finding Causes vs. Finding Levers

Hi there!

This post is a bit different from the others, but I felt compelled to write it as someone who does research on education and runs this newsletter on a specific causal inference technique. Nothing I will say in this post is new in...

7 months ago
19
6

Hidden Bias, Pie Charts and Spillovers

Hello! Today we have 3 theory papers, 1 “software”/guide paper, and 3 applied I found (the Japanese one is behind a paywall, so email me if you would like a copy). All of them are super cool.
Buckle up because we have many concepts from a...

7 months ago
4

Missing and Messy

Hello! We have three new papers to cover :)

Here they are:

  1. Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random, by Lorenzo Testa, Edward H. Kennedy and Matthew Reimherr

  2. Triply Robust Panel Estimat...

8 months ago
7

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