Guide Introduction to Difference in Differences (DID) Analysis
Difference-in-Differences (DID) analysis is a useful statistic technique that analyzes data from a nonequivalence control group design and makes a casual inference about an independent variable
Guide Differences-in-Differences
Differences-in-Differences regression (DID) is used to asses the causal effect of an event by comparing the set of units where the event happened (treatment group) in relation to units where the event did
Guide Week 4: Difference-in-differences
These slides are part of a forthcoming book to be published by Cambridge University Press. For more information, go to perraillon /PLH. This material is copyrighted. Please see the entire copyright
Guide HARVESTING DIFFERENCES-IN-DIFFERENCES AND EVENT
tric innovations related to differences-in-differences estimators and event-study models with time-varying treatment effects. Our discussion highlights tricky normalization issues, heterogeneous policy
Guide SPOT THE DIFFERENCES
Tell them that there are eight differences they must find and that they have only fifteen minutes to find them. After the allotted time has passed, elicit all the eight differences from your students. (15 – 20
Guide US GAAP versus IFRS: The basics
Our US GAAP/IFRS Accounting Standards Differences Identifier Tool (DIT) publication provides a more in-depth review of accounting differences between US GAAP and IFRS Accounting
Guide Analysis of Differences
There are many statistical tests that can be used to test for differences within or between two or more groups. This chapter will cover common contexts for differences in people analytics and...