Bayesian inference on returns to schooling in Palestine
العناوين الأخرى
الاستدلال البيزي لتقدير العائد على التعليم في فلسطين
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
جامعة بيرزيت
الكلية
كلية الدراسات العليا
القسم الأكاديمي
الإحصاء التطبيقي
دولة الجامعة
فلسطين (الضفة الغربية)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2014
الملخص الإنجليزي
In recent decades, researchers focus on earnings and what determines it.
Education is an important investment tool, which can improve workers’ productivity and influence economic growth.
As an important determinant of labor productivity, it also therefore has an important inf_uence on earnings.
The human capital theory emphasizes the impact of human capital investment on labor market outcomes.
We can identify the earnings attainment derived f-om education as the return on an investment.
Therefore, the rate of return to education is known as the average increase in wages associated with one year increase in education.
The basic theoretical model for the human capital is considered by Mincer (1974), Backer (1964) and Schultz (1961).
There is various statistical inference methods have been applied to return to education.
Inference methods like (OLS, GLS, GLM and MLE) produce an inefficient estimation of the parameters.
Meanwhile, Bayesian inference methods can provide solutions to many problems in classical inference methods and may fit out them.
Furthermore, model comparison using Bayes factor produce more efficient results than classical methods (R-squared, AIC,^etc).
The aim of this thesis is to highlight the investigations about the estimates of returns to education in Palestine.
It’s mainly uses Bayesian inference to identify the relationship between education (schooling) and wage controlling for other variables that will affect the relationship like gender, experience or age, educational levels, labor sector and place of residence and compares between OLS and Bayesian estimation.
We find that Bayesian estimation method is more efficient than OLS estimation method since the standard error of the mean for Bayesian method is lower than those found in OLS method.
Finally, we correct for self-selection bias and we fnd that Bayesian estimation with Logit Heckman correction differ and greater than from those we’ve got form Bayesian estimation with Probit Heckman correction and Bayesian estimation without Heckman correction.
التخصصات الرئيسية
عدد الصفحات
86
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Methodology.
Chapter Four : 4.1 Analysis and results.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ayyash, Muhsin. (2014). Bayesian inference on returns to schooling in Palestine. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-837121
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ayyash, Muhsin. Bayesian inference on returns to schooling in Palestine. (Master's theses Theses and Dissertations Master). Birzeit University. (2014).
https://search.emarefa.net/detail/BIM-837121
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ayyash, Muhsin. (2014). Bayesian inference on returns to schooling in Palestine. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-837121
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-837121
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر