Methods to Estimate Causal Effects. An Overview on IV, DiD and RDD and a Guide on How to Apply them in Practice
Bibliographic Data
| ID | 3940913 |
|---|---|
| Authors | Matthias Collischon (0000-0002-1571-5194, Institut für Arbeitsmarkt und Berufsforschung, corresponding author) |
| Year | 2022 |
| Volume | 73 |
| Issue | 4 |
| Pages | 713-735 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Soziale Welt (JOURNAL) |
| Journal identifiers | ISSN: 0038-6073 |
| Publisher | Nomos Verlag (PUBLISHER) |
| DOI | 10.5771/0038-6073-2022-4-713 |
| OpenAlex | W4316092268 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
The identification of causal effects has gained increasing attention in social sciences over the last years and this trend also has found its way into sociology, albeit on a relatively small scale. This article provides an overview of three methods to identify causal effects that are rarely used in sociology: instrumental variable (IV) regression, difference-in-differences (DiD), and regression discontinuity design (RDD). I provide intuitive introductions to these methods, discuss identifying assumptions, limitations of the methods, promising extension, and present an exemplary study for each estimation method that can serve as a benchmark when applying these estimation techniques. Furthermore, the supplemental material to this article contains Stata and R syntax that shows with simulated data how to apply these techniques in practice
Benchmark (surveying) · Biology · Causal inference · Data science · Econometrics · Estimation · Geography · Identification (biology) · Instrumental variable · Machine learning · Regression · Regression analysis · Regression discontinuity design · Statistics · Syntax · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Engineering · Mathematics · Psychology
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |