Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis

This paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a multivariate Vector Autoregressive analysis followed by Wald Granger causality test and Impulse Response Function (IRF). Wald Granger causalit...

Full description

Bibliographic Details
Main Author: Akram, Muhammad
Format: Others
Language:English
Published: Högskolan Dalarna, Nationalekonomi 2012
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:du-10723
id ndltd-UPSALLA1-oai-DiVA.org-du-10723
record_format oai_dc
spelling ndltd-UPSALLA1-oai-DiVA.org-du-107232013-01-08T13:43:46ZDo crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysisengAkram, MuhammadHögskolan Dalarna, Nationalekonomi2012Oil price shocksEconomic growthVector AutoregressiveImpulse response functionWald Granger causality testThis paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a multivariate Vector Autoregressive analysis followed by Wald Granger causality test and Impulse Response Function (IRF). Wald Granger causality test results show that only India’s economic growth is significantly affected when crude oil price decreases. Impact of crude oil price increase is insignificantly negative for all three countries during first year. In second year, impact is negative but smaller than first year for India, negative but larger for Bangladesh and positive for Pakistan. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:du-10723application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Oil price shocks
Economic growth
Vector Autoregressive
Impulse response function
Wald Granger causality test
spellingShingle Oil price shocks
Economic growth
Vector Autoregressive
Impulse response function
Wald Granger causality test
Akram, Muhammad
Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
description This paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a multivariate Vector Autoregressive analysis followed by Wald Granger causality test and Impulse Response Function (IRF). Wald Granger causality test results show that only India’s economic growth is significantly affected when crude oil price decreases. Impact of crude oil price increase is insignificantly negative for all three countries during first year. In second year, impact is negative but smaller than first year for India, negative but larger for Bangladesh and positive for Pakistan.
author Akram, Muhammad
author_facet Akram, Muhammad
author_sort Akram, Muhammad
title Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
title_short Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
title_full Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
title_fullStr Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
title_full_unstemmed Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh? : A multivariate time series analysis
title_sort do crude oil price changes affect economic growth of india, pakistan and bangladesh? : a multivariate time series analysis
publisher Högskolan Dalarna, Nationalekonomi
publishDate 2012
url http://urn.kb.se/resolve?urn=urn:nbn:se:du-10723
work_keys_str_mv AT akrammuhammad docrudeoilpricechangesaffecteconomicgrowthofindiapakistanandbangladeshamultivariatetimeseriesanalysis
_version_ 1716527190322970624