نتایج جستجو برای: Propensity Score Matching

تعداد نتایج: 331897  

Journal: :دانش مالی تحلیل اوراق بهادار 0
حسین رضایی دولت آبادی استادیار و عضو هیات علمی دانشگاه اصفهان راضیه صادق فلاح دانشجوی کارشناسی ارشد مدیریت بازرگانی- مالی دانشگاه اصفهان

when shareholders have agreement about divestiture of company’s share in stock exchange, they decide to change and improve their business ownership structure and the presence of a large shareholder to help divestiture. the present study was aimed to investigate the effect of presence of large shareholder to tends firm to divestiture by a new approach. for this purpose, the propensity score a sa...

خرم خورشید, حمید رضا, فتوحی, اکبر, محمد, کاظم, میراب زاده, آرش, کمالی, کورش,

Background and Aim: Case-Control studies provide evidence in the area of health. Validity and accuracy of such studies depend to a large extent on the similarity (similar distributions) of the case and control groups according to confounding variables. Matching is a method for controlling or eliminating the effects of important confounders. Matching using propensity score has recently been intr...

2003
Daniel J. Benjamin

By comparing 401(k) eligible and ineligible households’ wealth, this paper estimates that, on average, about one half of 401(k) balances represent new private savings, and about one quarter of 401(k) balances represent new national savings. Responses to eligibility vary considerably, however, with households who normally save the most largely contributing funds they would have saved anyway. Thi...

2002
Keisuke Hirano Guido W. Imbens Geert Ridder Gary Chamberlain Jinyong Hahn James Robins Donald Rubin

We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is exogenous or unconfounded, that is, independent of the potential outcomes given covariates, biases associated with simple treatment-control average comparisons can be removed by adjusting for differences in the covariates. Rosenbaum and Rubin (1983) show that adjusting...

2006
Wuwei Wayne Feng Eli Lilly Rong Xu

In observational studies, investigators usually do not have the same control over the treatment assignment as they do with randomized controlled studies. As a result, the treatment and control groups may have a large difference on their observed covariates. These differences could lead to bias in estimating treatment effects. There are several propensity score based methods that could reduce th...

2007
GUIDO W. IMBENS GEERT RIDDER James Robins Donald Rubin Jeffrey Wooldridge G. RIDDER

We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment o the treatment is exogenous or unconfounded, that is, independent of the potential outcomes given covariates, biases associated with simple treatmentcontrol average comparisons can be removed by adjusting for differences in the covariates. Rosenbaum and Rubin (1983) show that adjusting s...

2012
Cristina Borra Maria Iacovou Almudena Sevilla

The Effect of Breastfeeding on Children’s Cognitive and Noncognitive Development This paper uses propensity score matching methods to investigate the relationship between breastfeeding and children’s cognitive and noncognitive development. We find that breastfeeding for four weeks is positively and statistically significantly associated with higher cognitive test scores, by around one tenth of ...

2016
Agata Debowska Daniel Boduszek Katie Dhingra Matthew DeLisi

The aim is to assess the effect of imprisonment on rape myth acceptance. The research used a sample of male prisoners incarcerated for non-sexual crimes (n = 98) and a sample of males drawn from the general population (n = 160). Simple linear regression did not indicate a significant effect of incarceration on rape myth acceptance. After controlling for background covariates using propensity sc...

2014
Jessica Chemali Michael Vespe

Observational studies draw inferences about the possible effect of a treatment on subjects, where the assignment of subjects into a treated group versus a control group is outside the control of the investigator. Let r1(x) be the response when a unit with covariates x receives the treatment (z = 1), and r0(x) be the response when that unit does not receive the treatment (z = 0). Then one is int...

2013
Jason M. Bryer

The use of propensity score methods (Rosenbaum and Rubin, 1983) have become popular for estimating causal inferences in observational studies in medical research (Austin, 2008) and in the social sciences (Thoemmes and Kim, 2011). In most cases however, the use of propensity score methods have been confined to a single treatment. Several researchers have suggested using propensity score methods ...

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