Flexpaneldid: A Stata toolbox for causal analysis with varying treatment time and duration

Eva Dettmann, Alexander Giebler and Antje Weyh

No 3/2020, IWH Discussion Papers from Halle Institute for Economic Research (IWH)

Abstract: The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands and its options on the basis of a publicly accessible data set.

Keywords: causal inference; staggered treatment adoption; variation in treatment timing; effect heterogeneity; event study design; conditional difference-in-differences; matching (search for similar items in EconPapers)
JEL-codes: A11 D61 H20 Z0 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:iwhdps:32020

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