Covid19 Shock: A Bayesian Approach

الموضوعات

اقتصاد

الملخص

The coronavirus, that started in December 2019, became a pandemic that hit the worldeconomy and had devastating consequences. The spread of the virus suggestedpreventive measures knowing that no vaccine was available. Therefore, city, district andthen country-wide lockdowns were implemented. These variations are introduced asshocks to unemployment, and will be studied in a Vector Autoregressive Framework.The shock to unemployment will be discussed using Bayesian inference. This approachhas well-known advantages when studying heavily parameterized models like VARs, asit assigns prior probabilities to the model parameters. These prior beliefs can be updatedwhenever new information is available. This in turn can help in modelling andforecasting changes that occur following the shock.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0ae3e540-2fc8-4732-8b17-5fce1ae5302b

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2025709_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Oussama Abi Younes ","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Sumru Guler Altug ","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Covid19 Shock: A Bayesian Approach

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Sumru Guler Altug

الإعداد

Oussama Abi Younes

الاقتباسات الببليوغرافية