Results 21 to 30 of about 2,029,988 (242)
Instrumental variables and the sign of the average treatment effect [PDF]
Journal of Econometrics, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Machado, Cecilia +2 more
openaire +3 more sources
Evaluation of Educational Interventions Based on Average Treatment Effect: A Case Study
Mathematics, 2022 Relative to randomized controlled trials (RCTs) with privacy and ethical concerns, observational studies are becoming dominant in education research. In an observational study, it is necessary and important to correctly evaluate the effects of different ...
Jingyu Liang, Jie Liu
doaj +1 more source
Optimal weighting for estimating generalized average treatment effects
Journal of Causal Inference, 2022 In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects.
Kallus Nathan, Santacatterina Michele
doaj +1 more source
International Journal of Turkish Education Sciences, 2023 In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
doaj +1 more source
An Exponential Endogenous Switching Regression with Correlated Random Coefficients
Econometrics, 2021 This paper presents a method for estimating the average treatment effects (ATE) of an exponential endogenous switching model where the coefficients of covariates in the structural equation are random and correlated with the binary treatment variable. The
Myoung-Jin Keay
doaj +1 more source
Estimating Conditional Average Treatment Effects with Missing Treatment Information
CoRR, 2022 Estimating conditional average treatment effects (CATE) is challenging, especially when treatment information is missing. Although this is a widespread problem in practice, CATE estimation with missing treatments has received little attention. In this paper, we analyze CATE estimation in the setting with missing treatments where unique challenges arise
Kuzmanovic, Milan +2 more
openaire +4 more sources
Brain and Behavior, 2023 Background There is mixed evidence about the impact of long‐term management with hypnotic medications on blood pressure (BP). Aim To estimate the effect of short‐ and long‐term management with benzodiazepine and z‐drugs (BZD) on BP.
Mumtaz Begum +3 more
doaj +1 more source
Testing for the Unconfoundedness Assumption Using an Instrumental Assumption
Journal of Causal Inference, 2014 The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument.
de Luna Xavier, Johansson Per
doaj +1 more source
Cogent Business & Management, 2022 Purpose This study assessed the effect of E-commerce on sales performance of agrochemical input dealers in the Greater Accra Region of Ghana.Design/methodology/approach The study utilized both primary and secondary data.
Benjamin Nyarko +3 more
doaj +1 more source
Inference on Local Average Treatment Effects for Misclassified Treatment [PDF]
SSRN Electronic Journal, 2017 43 pages, 1 figure, 7 tables, 1 ...
openaire +2 more sources