Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions
By Andrew C. Eggers, Ronny Freier, V. Grembi, T. Nannicini. Social Science Research Network, 2015
153 citations recorded by the source corpus.
In many countries, important features of municipal government (such as the electoral system, mayors' salaries, and the number of councillors) depend on whether the municipality is above or below arbitrary population thresholds. Several papers have used a regression discontinuity design (RDD) to measure the effects of these threshold-based policies on political and economic outcomes. Using evidence from France, Germany, and Italy, we highlight two common pitfalls that arise in exploiting population-based policies (confounded treatment and sorting) and we provide guidance for detecting and addressing these pitfalls. Even when these problems are present, population-threshold RDD may be the best available research design for studying the effects of certain policies and political institutions.
Subfields: Economics and Econometrics, Political Science and International Relations, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/8c4df301f2dfd7d893343340a184b578286fb1da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Political Science and International Relations
In Statistics and Probability
Citations in the corpus
- A Survey of Learning Causality with Data: Problems and Methods (2018, background): “Notable examples include but are not limited to [9, 37, 84, 92, 108].”
- A Survey of Learning Causality with Data (2018, background): “Examples include but are not limited to those discussed in [8, 39, 56, 104, 148].”