Design-based Approach in Social Science Research
Bibliographic Data
| ID | 6170660 |
|---|---|
| Authors | Anustubh Agnihotri (University of California, Berkeley, corresponding author), Rahul Verma (0000-0002-5356-813X, University of California, Berkeley) |
| Year | 2016 |
| Volume | 4 |
| Issue | 2 |
| Pages | 241-248 |
| Publication date | 2016-10-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in Indian Politics (JOURNAL) |
| Journal identifiers | ISSN: 2321-0230 • E-ISSN: 2321-7472 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/2321023016665537 |
| OpenAlex | W2529974569 |
| Language | EN |
| References cited | 17 |
Engineering ethics · Management science · Sociology · Advanced Causal Inference Techniques · Computer Science · Engineering · Income, Poverty, and Inequality · Poverty, Education, and Child Welfare
Labor market discrimination in Delhi
Property rights for the poor
Regression-discontinuity analysis
Randomized experiments from non-random selection in U.S. House elections
On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
Manipulation of the running variable in the regression discontinuity design
Statistics and Causal Inference
Women as Policy Makers
Mostly Harmless Econometrics
Natural Experiments in the Social Sciences
The disadvantaged incumbents
Economic Shocks and Civil Conflict
Getting Out the Vote in Local Elections
When Natural Experiments Are Neither Natural nor Experiments
Do Electoral Quotas Work after They Are Withdrawn? Evidence from a Natural Experiment in India
| Citation velocity | historical |
|---|---|
| Highly cited | No |