Variable Selection for Regression Discontinuity Designs with an Application

الموضوعات

إحصاء

الملخص

Regression discontinuity design(RDD) is a popular technique for causal inference with observational data. It has been applied to statistics, econometrics, political science, epidemiology, and related disciplines. The effects of treatment with (RDD)are often estimated with a small number of observations and when the correct functional form of the local regression is unknown. In this design, the study population is divided into two groups based on a specific cut-off point. In advance, according to the terms and requirements of the study. The estimation of the average effects of local processing in(RDD)is typically based on local linear regressions using the outcome variable, the processing task variable, and the continuous operation variable. This study, combined some method variable selection, such as the Elastic net and MCP with RDD model. Three types of bandwidth, the IK (Iembens and kalyanman) bandwidth, cross-validation (CV) method, and The CCT (Calonico, Cattaneo & Titiunik) bandwidth were also used. In addition, covariates are often added to increase the efficiency of treatment effect estimates and to adjust for known imbalances. To evaluate the proposed methods, they were compared adaptive lasso method using simulation study employing the mean square errors to compare and select the best method .These methods, were employed to study the issue of resorting to dialysis as a treatment, as a result of exposing to kidney failure to get rid of waste products and toxins in the blood such as urea, creatinine and others. Real data with a size of (79) people was used, represented by the percentage of urea in the blood as an explanatory variable (Fi, the filtering variable) and the ability of the kidneys to perform their function as a response variable. The R program was used in the analysis process. It turns out that the best way to estimate the average effect of treatment and variable selection is the (MCP) method when using bandwidth (CCT)as it achieves the least (MSE) , and the results in the simulation study and real data indicate that the proposed methods have superior performance.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ed4fb8bd-2263-4820-91ab-d016412cb057

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2153675_1.pdf

بيانات النشر

ترجمة العنوان

اختيار متغير لتصاميم عدم استمرارية الانحدار مع التطبيق

ألقاب المؤلفين

[{"name_ar":"أشواق عبد السادة كاظم","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"بحر كاظم محمد","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Variable Selection for Regression Discontinuity Designs with an Application

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

بحر كاظم محمد

الإعداد

أشواق عبد السادة كاظم

الاقتباسات الببليوغرافية