Results 21 to 30 of about 2,078,941 (236)
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
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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
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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
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Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates
Entropy, 2020 Estimating the effects of an intervention from high-dimensional observational data is a challenging problem due to the existence of confounding. The task is often further complicated in healthcare applications where a set of observations may be entirely ...
Sonali Parbhoo +3 more
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Pre-apprenticeship training for young people: Estimating the marginal and average treatment effects [PDF]
, 2022 This paper evaluates traineeships, a voluntary programme of work placement and preparation that aims to help young unemployed people in England compete for jobs and apprenticeships.
Stokes, L., Dorsett, R.
core +1 more source
Individualized treatment rules under stochastic treatment cost constraints
Journal of Causal Inference, 2022 Estimation and evaluation of individualized treatment rules have been studied extensively, but real-world treatment resource constraints have received limited attention in existing methods.
Qiu Hongxiang +2 more
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Dealing with Limited Overlap in Estimation of Average Treatment Effects [PDF]
, 2009 Estimation of average treatment effects under unconfounded or ignorable treatment assignment is often hampered by lack of overlap in the covariate distributions between treatment groups.
Mitnik, Oscar A. +3 more
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Frontiers in Sustainable Food Systems, 2022 Drought is one of the major abiotic constraints that adversely affect maize production in the rain-fed agro-environment in the Asian tropics. In view of the recurrent drought, stress-resilient (SR) maize hybrids were developed and deployed to minimize ...
Atul P. Kulkarni +4 more
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Mathematics, 2022 Regression adjustment is often used to estimate average treatment effect (ATE) in randomized experiments. Recently, some penalty-based regression adjustment methods have been proposed to handle the high-dimensional problem.
Zeyu Diao +3 more
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Causal effect on a target population: A sensitivity analysis to handle missing covariates
Journal of Causal Inference, 2022 Randomized controlled trials (RCTs) are often considered the gold standard for estimating causal effect, but they may lack external validity when the population eligible to the RCT is substantially different from the target population.
Colnet Bénédicte +3 more
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