Results 321 to 330 of about 3,205,740 (360)

Regression Discontinuity Design

JAMA, 2020
Regression discontinuity design (RDD) is a causal inference technique that can be used with observational data. Social scientists are often faced with challenges when using observational data in contexts where an experimental design is infeasible. In such contexts, under fewer assumptions relative to other causal inference techniques, an RDD may be ...
Matthew L, Maciejewski, Anirban, Basu
openaire   +4 more sources

Can Close Election Regression Discontinuity Designs Identify Effects of Winning Politician Characteristics?

American Journal of Political Science, 2022
: Politician characteristic regression discontinuity (PCRD) designs leveraging close elections are widely used to isolate effects of an elected politician characteristic on downstream outcomes.
J. Marshall
semanticscholar   +1 more source

Large-Scale Education Reform in General Equilibrium: Regression Discontinuity Evidence from India

Journal of Political Economy, 2022
The economic consequences of large-scale government investments in education depend on general equilibrium effects in both the labor market and the education sector.
Gaurav Khanna
semanticscholar   +1 more source

Do corporate income tax cuts decrease labor share? Regression discontinuity evidence from China

Journal of Development Economics, 2021
Recent years have seen a sustained decline in the labor share around the world. This paper studies this trend by focusing on the effect of corporate income taxes on firm-level labor shares.
Bing Li, Chang Liu, S. Sun
semanticscholar   +1 more source

Regression discontinuity designs in a latent variable framework.

Psychological methods, 2022
When randomized control trials are not available, regression discontinuity (RD) designs are a viable quasi-experimental method shown to be capable of producing causal estimates of how a program or intervention affects an outcome.
J. Soland, Angela Johnson, E. Talbert
semanticscholar   +1 more source

Access to finance and SMEs’ trade credit: evidence from a regression discontinuity design

Accounting and Finance, 2021
We evaluate the substitution effect between formal and informal institutions based on a natural experiment in China, i.e., the targeted reserve requirement ratio cut (TRRRC) policy.
Wei Yang   +3 more
semanticscholar   +1 more source

On Boundary Discontinuity in Angle Regression Based Arbitrary Oriented Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
With vigorous development e.g., in autonomous driving and remote sensing, oriented object detection has gradually been featured. The majority of existing methods directly perform regression on the rotation angle, which we argue has fundamental ...
Yi Yu, Feipeng Da
semanticscholar   +1 more source

Regression-Discontinuity Analysis

2008
The regression discontinuity (RD) data design is a quasi-experimental evaluation design first introduced by Thistlethwaite and Campbell (1960) as an alternative approach to evaluating social programmes. The design is characterized by a treatment assignment or selection rule which involves the use of a known cut-off point with respect to a continuous ...
openaire   +1 more source

Does Voting Have Upstream and Downstream Consequences? Regression Discontinuity Tests of the Transformative Voting Hypothesis

Journal of Politics, 2020
Voting is a central pillar of political science research; indeed, scholars have long addressed questions like, “Who votes?,” “Why do people vote?,” and “What interventions increase voting?” However, only a few have considered whether voting changes ...
J. Holbein, M. Rangel
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy