Resumé
Originalsprog | Engelsk |
---|---|
Udgivelses sted | Berlin |
Udgiver | Deutsches Institut für Wirtschaftsforschung |
Antal sider | 49 |
Status | Udgivet - 2015 |
Navn | Discussion Papers, Deutsches Institut für Wirtschaftsforschung (DIW Berlin) |
---|---|
Nummer | 1503 |
ISSN | 1433-0210 |
Emneord
- Regression discontinuity design
- Causal inference
- Sorting
- Population thresholds
- Institutional design
Citer dette
}
Regression Discontinuity Designs Based on Population Thresholds : Pitfalls and Solutions. / Eggers, Andrew C.; Freier, Ronny; Grembi, Veronica ; Nannicini, Tommaso.
Berlin : Deutsches Institut für Wirtschaftsforschung, 2015.Publikation: Working paper › Forskning
TY - UNPB
T1 - Regression Discontinuity Designs Based on Population Thresholds
T2 - Pitfalls and Solutions
AU - Eggers, Andrew C.
AU - Freier, Ronny
AU - Grembi, Veronica
AU - Nannicini, Tommaso
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Regression discontinuity design
KW - Causal inference
KW - Sorting
KW - Population thresholds
KW - Institutional design
KW - Regression discontinuity design
KW - Causal inference
KW - Sorting
KW - Population thresholds
KW - Institutional design
M3 - Working paper
T3 - Discussion Papers, Deutsches Institut für Wirtschaftsforschung (DIW Berlin)
BT - Regression Discontinuity Designs Based on Population Thresholds
PB - Deutsches Institut für Wirtschaftsforschung
CY - Berlin
ER -