Results 41 to 50 of about 410,064 (354)

Including Covariates in the Regression Discontinuity Design [PDF]

open access: yesJournal of Business & Economic Statistics, 2017
This article proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the treatment effect at the rate of one-dimensional ...
Frölich, Markus, Huber, Martin
openaire   +3 more sources

Regression discontinuity designs: A guide to practice [PDF]

open access: yesJournal of Econometrics, 2008
In regression discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. These designs were first introduced in the evaluation literature by Thistlewaite and Campbell [1960.
Guido Imbens, Thomas Lemieux
openaire   +3 more sources

Bayesian model averaging for nonparametric discontinuity design.

open access: yesPLoS ONE, 2022
Quasi-experimental research designs, such as regression discontinuity and interrupted time series, allow for causal inference in the absence of a randomized controlled trial, at the cost of additional assumptions.
Max Hinne   +3 more
doaj   +1 more source

Estimating Incumbency Effects Using Regression Discontinuity Design

open access: yesResearch & Politics, 2018
In recent years, research on the incumbency effect using a regression discontinuity design has flourished. Although the regression discontinuity design has allowed scholars to examine the incumbency effect in various electoral settings, previous studies ...
B. K. Song
doaj   +1 more source

The Effect of League Design on Spectator Attendance: A Regression Discontinuity Design Approach

open access: yesJournal of Sports Economics, 2021
This paper exploits a sharp regression discontinuity design to identify the causal impact of the Scottish Premiership League (SPL) “split” on spectator match attendance.
B. Reilly, Robert Witt
semanticscholar   +1 more source

Effectiveness of a Power Factor Correction Policy in Improving the Energy Efficiency of Large-Scale Electricity Users in Ghana

open access: yesEnergies, 2019
Confronting an energy crisis, the government of Ghana enacted a power factor correction policy in 1995. The policy imposes a penalty on large-scale electricity users, namely, special load tariff (SLT) customers of the Electricity Company of Ghana (ECG ...
Samuel Lotsu   +3 more
doaj   +1 more source

The effect of an unconventional fare decrease on the demand for bus journeys: A regression discontinuity approach

open access: yesJournal of Public Transportation, 2023
We analyse the effect of a change in the fare structure for bus journeys in London on different demand measures using a regression discontinuity design.
Kingsley Offiaeli, Firat Yaman
doaj   +1 more source

Does Education Affect Rural Women’s Trust? Evidence From China

open access: yesFrontiers in Psychology, 2022
Trust is of great significance to the economic and social development of a country. In the case of China, the trust of rural women has undergone tremendous changes along with the development of rural areas.
Siyu Xu, Yeye Zhao, Noshaba Aziz, Jun He
doaj   +1 more source

Regression discontinuity designs in healthcare research [PDF]

open access: yesBMJ, 2016
Clinical decisions are often driven by decision rules premised around specific thresholds. Specific laboratory measurements, dates, or policy eligibility criteria create cut-offs at which people become eligible for certain treatments or health services. The regression discontinuity design is a statistical approach that utilizes threshold based decision
Atheendar S. Venkataramani   +2 more
openaire   +3 more sources

Regression Discontinuity Designs With a Continuous Treatment [PDF]

open access: yesJournal of the American Statistical Association, 2018
The standard regression discontinuity (RD) design deals with a binary treatment. Many empirical applications of RD designs involve continuous treatments. This paper establishes identification and robust bias-corrected inference for such RD design.
Yingying Dong   +2 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy