 |
|
|
Award Abstract #1357561
New Methodological Developments for Inference in the Regression-Discontinuity Design
| NSF Org: |
SES
Divn Of Social and Economic Sciences
|
|
| Initial Amendment Date: |
April 11, 2014 |
|
| Latest Amendment Date: |
April 11, 2014
|
|
| Award Number: |
1357561 |
|
| Award Instrument: |
Standard Grant |
|
| Program Manager: |
Nancy Lutz
SES Divn Of Social and Economic Sciences
SBE Direct For Social, Behav & Economic Scie |
|
| Start Date: |
July 1, 2014 |
|
| End Date: |
June 30, 2017 (Estimated) |
|
| Awarded Amount to Date: |
$276,756.00
|
|
| Investigator(s): |
Matias Cattaneo cattaneo@princeton.edu (Principal Investigator)
Rocio Titiunik (Co-Principal Investigator)
|
|
| Sponsor: |
Regents of the University of Michigan - Ann Arbor
3003 South State St. Room 1062
Ann Arbor, MI
48109-1274
(734)763-6438
|
|
| NSF Program(s): |
Economics,
Methodology, Measuremt & Stats
|
|
| Program Reference Code(s): |
|
|
| Program Element Code(s): |
1320, 1333
|
ABSTRACT
This award funds the development of new methods for the statistical analysis of social science data. The project focuses on 'regression discontinuity' (RD) models, which are very widely used in practice. This kind of statistical model is used to estimate the effect of a treatment on an outcome when unobserved factors may threaten the validity of the statistical analysis. While RD models are widely used to analyze data, many important methodological and statistical features of the models are not well understood. This project develops novel methods for the analysis of RD models and applies the results to concrete empirical problems in Economics and other social sciences.
The research develops new methodological and practical tools for estimation, inference and falsification of RD designs. This includes a method that accounts for the fact that RD estimators are sensitive to the choice of bandwidth, a method that is valid in finite samples, the analysis of RDs with multiple cutoffs and the development of new tools for spatial RD designs.
Broader impacts of this research will come from the use of these new methods to provide better insight for economic policy.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
|
(Showing: 1 - 10 of 27)
(Showing: 1 - 27 of 27)
|
Show All |
Luke Keele, Rocio Titiunik. "Geographic Boundaries as Regression Discontinuities," Political Analysis, v.23, 2015, p. 127.
Matias D. Cattaneo, Brigham Frandsen, Rocio Titiunik. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate," Journal of Causal Inference, v.3, 2015, p. 1.
Rocio Titiunik. "Can Big Data Solve the Fundamental Problem of Causal Inference?," PS: Political Science & Politics, v.48, 2015, p. 74.
Sebastian Calonico, Matias D. Cattaneo, Rocio Titiunik. "Robust Data-Driven Inference in the Regression-Discontinuity Design," Stata Journal, v.14, 2014, p. 909.
Sebastian Calonico, Matias D. Cattaneo, Rocio Titiunik. "Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs," Econometrica, v.82, 2014, p. 2295.
Luke Keele, Rocio Titiunik. "Natural Experiments Based on Geography," Political Science Research and Methods, v.4, 2016, p. 65.
Robert Erikson, Rocio Titiunik. "Using Regression Discontinuity to Uncover the Personal Incumbency Advantage," Quarterly Journal of Political Science, v.10, 2015, p. 101.
Sebastian Calonico, Matias D. Cattaneo, Rocio Titiunik. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, v.110, 2015, p. 1753.
Sebastian Calonico, Matias D. Cattaneo, Rocio Titiunik. "rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs," R Journal, v.7, 2015, p. 38.
Brendan Nyhan; Christopher Skovron; Rocio Titiunik. "Differential Registration Bias in Voter File Data: A Sensitivity Analysis Approach," American Journal of Political Science, v.61, 2017, p. 744.
Marko Kla?nja; Rocio Titiunik. "The Incumbency Curse: Weak Parties, Term Limits, and Unfulfilled Accountability," American Political Science Review, v.111, 2017, p. 129.
Matias D. Cattaneo; Luke Keele; Gonzalo Vazquez-Bare; Rocio Titiunik. "Interpreting Regression Discontinuity Designs with Multiple Cutoffs," Journal of Politics, v.78, 2016, p. 1229.
Matias D. Cattaneo; Rocio Titiunik; Gonzalo Vazquez-Bare. "Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality," Journal of Policy Analysis and Management, v.36, 2017, p. 643.
Matias D. Cattaneo; Rocio Titiunik; Gonzalo Vazquez-Bare. "Inference in Regression Discontinuity Designs under Local Randomization," Stata Journal, v.16, 2016, p. 331.
Sebastian Calonico; Matias D. Cattaneo; Max H. Farrell; Rocio Titiunik. "rdrobust: Software for Regression Discontinuity Designs," Stata Journal, v.17, 2017, p. 372.
Matias D. Cattaneo; Gonzalo Vazquez-Bare. "The Choice of Neighborhood in Regression Discontinuity Designs," Observational Studies, v.2, 2016, p. 134.
Sebastian Calonico; Matias D. Cattaneo; Rocio Titiunik.. "Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs," Econometrica, v.82, 2014, p. 2295.
Sebastian Calonico; Matias D. Cattaneo; Rocio Titiunik. "Robust Data-Driven Inference in the Regression-Discontinuity Design," Stata Journal, v.14, 2014, p. 909.
Matias D. Cattaneo; Brigham Frandsen; Rocio Titiunik. "Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate," Journal of Causal Inference, v.3, 2015, p. 1.
Sebastian Calonico; Matias D. Cattaneo; Rocio Titiunik. "rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs," R Journal, v.7, 2015, p. 38.
Sebastian Calonico; Matias D. Cattaneo; Rocio Titiunik. "Optimal Data-Driven Regression Discontinuity Plots," Journal of the American Statistical Association, v.110, 2015, p. 1753.
Luke Keele; Rocio Titiunik; Jose Zubizarreta. "Enhancing a Geographic Regression Discontinuity Design Through Matching to Estimate the Effect of Ballot Initiatives on Voter Turnout," Journal of the Royal Statistical Society: Series A, v.178, 2015, p. 223.
Rocio Titiunik. "Can Big Data Solve the Fundamental Problem of Causal Inference?," PS: Political Science & Politics, v.48, 2015, p. 74.
Luke Keele; Rocio Titiunik. "Geographic Boundaries as Regression Discontinuities," Political Analysis, v.23, 2015, p. 127.
Robert Erikson; Rocio Titiunik. "Using Regression Discontinuity to Uncover the Personal Incumbency Advantage," Quarterly Journal of Political Science, v.10, 2015, p. 101.
Luke Keele; Rocio Titiunik. "Natural Experiments Based on Geography," Political Science Research and Methods, v.4, 2016, p. 65.
Jasjeet Sekhon; Rocio Titiunik. "Understanding Regression Discontinuity Designs as Observational Studies," Observational Studies, v.2, 2016, p. 174.
|
(Showing: 1 - 10 of 27) (Showing: 1 - 27 of 27) |
Show All |
Please report errors in award information by writing to: awardsearch@nsf.gov.
|
|
|
