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Forecasting Palestinian gross domestic product using mixed data sampling regression techniques
Other Title(s)
تقدير الناتج المحلي الإجمالي الفلسطيني باستخدام نماذج الانحدار للبيانات ذات الترددات المختلطة
Dissertant
Thesis advisor
Comitee Members
Idah, Abd al-Hakim
al-Hashlamun, Wail
University
Birzeit University
Faculty
Faculty of Business and Economics
Department
Department of Economics
University Country
Palestine (West Bank)
Degree
Master
Degree Date
2014
English Abstract
In the case of using classical linear regression models for time series, researchers usually deal with equal frequencies for all the variables.
They cannot directly apply such models to a mixed-frequency dataset.
The Mixed Data Sampling (MIDAS) regression models deal with this type of data; typically the economic indicators from those observed daily, monthly, quarterly to those yearly.
In this study, we introduce MIDAS regression approach which is relatively assumed as a new area.
We will explain its ability of dealing with mixed frequency data, and its efficiency of improving parameters estimation and forecasting performance in the presence of extreme observations.
To the best of author’s knowledge, this is the first research that examines the relationship between the real GDP in Palestine and other indicators using MIDAS regressions.
The classical temporal aggregation method is compared to the two types of MIDAS regressions; the restricted and the unrestricted, to build both long-run and short-run relationships.
The study results exhibited that both UMIDAS and R-MIDAS were better than the classical Time-Averaging method in reducing forecasting errors.
The results exhibited that the quarterly Palestinian GDP in the long-run affected by its cost of imports in the second month computed in each quarter, also, the quarterly GDP has increasing general trend and affected by its first lag and the quarterly Employment Rate In Israel and Settlements, and all these variables have significant positive relationship with GDP.
In the short-run, the results showed that the quarterly Palestinian GDP is affecting by the second-month and the third-month of the cost of imports of Palestine
Main Subjects
Topics
No. of Pages
71
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : MIDAS regressions.
Chapter Three : Application case study.
References.
American Psychological Association (APA)
al-Qawasimi, Mustafa M.. (2014). Forecasting Palestinian gross domestic product using mixed data sampling regression techniques. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-620579
Modern Language Association (MLA)
al-Qawasimi, Mustafa M.. Forecasting Palestinian gross domestic product using mixed data sampling regression techniques. (Master's theses Theses and Dissertations Master). Birzeit University. (2014).
https://search.emarefa.net/detail/BIM-620579
American Medical Association (AMA)
al-Qawasimi, Mustafa M.. (2014). Forecasting Palestinian gross domestic product using mixed data sampling regression techniques. (Master's theses Theses and Dissertations Master). Birzeit University, Palestine (West Bank)
https://search.emarefa.net/detail/BIM-620579
Language
English
Data Type
Arab Theses
Record ID
BIM-620579