Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution

Okun law postulates a negative relationship between the movements of unemployment rate and the real gross domestic product. This study applied Quantile regression analysis to estimate the relationship between unemployment and its predictor GDP, and compared the results to parameter estimates using O...

Full description

Saved in:
Bibliographic Details
Published in:Journal of economics and business research 2014, Vol.20 (1), p.161-172
Main Authors: Khan, Muhammad Aamir, Rasheed, Mamoona, Hanif, Muhammad
Format: Article
Language:English
Subjects:
Economy
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 172
container_issue 1
container_start_page 161
container_title Journal of economics and business research
container_volume 20
creator Khan, Muhammad Aamir
Rasheed, Mamoona
Hanif, Muhammad
description Okun law postulates a negative relationship between the movements of unemployment rate and the real gross domestic product. This study applied Quantile regression analysis to estimate the relationship between unemployment and its predictor GDP, and compared the results to parameter estimates using OLS regression. Conditional mean has been used as a solution to minimize the error variance. Time series annual data has been used from period 1973 to 2010. Predictor of unemployment used was GDP. Empirical Results of quantile regression analysis showed that for GDP parameter estimates were significant only for certain quantiles. Parameters for GDP were significant only for 5%, 10%, 95%. The GDP parameter had non- significant on OLS but not on all quantile from quantile regression
format article
fullrecord <record><control><sourceid>ceeol</sourceid><recordid>TN_cdi_ceeol_journals_565410</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ceeol_id>565410</ceeol_id><sourcerecordid>565410</sourcerecordid><originalsourceid>FETCH-LOGICAL-c52N-fc172ece31db786087eebe649598997fd492c1c05e07aa67aa502c5d3f34495d3</originalsourceid><addsrcrecordid>eNotjdtKAzEQhoMoWGrfwIu8wEJ2c76UtlahHi5aelmyyURTdhNpUqRvb6wODPPB_zH_FZp0ROhGMymuL6wayqm8RbOcD6SOIoQzMUG7ZS5hNCXED1w-AQ_BhJwi7qF8A0S8jTB-Dek8QizYRIdXi_canlPFX_8FTMTJX3gRcjmG_lRCinfoxpshw-z_TtHmcbmZPzXrt9Xz_GHdWN69Nt62sgMLtHW9VIIoCdCDYJprpbX0junOtpZwINIYUZeTznJHPWVVcnSK7v_eWoA07A_pdIy1bs8FZy2hP9JKTGQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution</title><source>Business Source Ultimate</source><creator>Khan, Muhammad Aamir ; Rasheed, Mamoona ; Hanif, Muhammad</creator><creatorcontrib>Khan, Muhammad Aamir ; Rasheed, Mamoona ; Hanif, Muhammad</creatorcontrib><description>Okun law postulates a negative relationship between the movements of unemployment rate and the real gross domestic product. This study applied Quantile regression analysis to estimate the relationship between unemployment and its predictor GDP, and compared the results to parameter estimates using OLS regression. Conditional mean has been used as a solution to minimize the error variance. Time series annual data has been used from period 1973 to 2010. Predictor of unemployment used was GDP. Empirical Results of quantile regression analysis showed that for GDP parameter estimates were significant only for certain quantiles. Parameters for GDP were significant only for 5%, 10%, 95%. The GDP parameter had non- significant on OLS but not on all quantile from quantile regression</description><identifier>ISSN: 2068-3537</identifier><identifier>EISSN: 2069-9476</identifier><language>eng</language><publisher>Aurel Vlaicu University Publishing House</publisher><subject>Economy</subject><ispartof>Journal of economics and business research, 2014, Vol.20 (1), p.161-172</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.ceeol.com//api/image/getissuecoverimage?id=picture_2014_34438.jpg</thumbnail><link.rule.ids>314,780,784,4024</link.rule.ids></links><search><creatorcontrib>Khan, Muhammad Aamir</creatorcontrib><creatorcontrib>Rasheed, Mamoona</creatorcontrib><creatorcontrib>Hanif, Muhammad</creatorcontrib><title>Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution</title><title>Journal of economics and business research</title><addtitle>Journal of Economics and Business Research</addtitle><description>Okun law postulates a negative relationship between the movements of unemployment rate and the real gross domestic product. This study applied Quantile regression analysis to estimate the relationship between unemployment and its predictor GDP, and compared the results to parameter estimates using OLS regression. Conditional mean has been used as a solution to minimize the error variance. Time series annual data has been used from period 1973 to 2010. Predictor of unemployment used was GDP. Empirical Results of quantile regression analysis showed that for GDP parameter estimates were significant only for certain quantiles. Parameters for GDP were significant only for 5%, 10%, 95%. The GDP parameter had non- significant on OLS but not on all quantile from quantile regression</description><subject>Economy</subject><issn>2068-3537</issn><issn>2069-9476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNotjdtKAzEQhoMoWGrfwIu8wEJ2c76UtlahHi5aelmyyURTdhNpUqRvb6wODPPB_zH_FZp0ROhGMymuL6wayqm8RbOcD6SOIoQzMUG7ZS5hNCXED1w-AQ_BhJwi7qF8A0S8jTB-Dek8QizYRIdXi_canlPFX_8FTMTJX3gRcjmG_lRCinfoxpshw-z_TtHmcbmZPzXrt9Xz_GHdWN69Nt62sgMLtHW9VIIoCdCDYJprpbX0junOtpZwINIYUZeTznJHPWVVcnSK7v_eWoA07A_pdIy1bs8FZy2hP9JKTGQ</recordid><startdate>2014</startdate><enddate>2014</enddate><creator>Khan, Muhammad Aamir</creator><creator>Rasheed, Mamoona</creator><creator>Hanif, Muhammad</creator><general>Aurel Vlaicu University Publishing House</general><general>Editura Universității Aurel Vlaicu</general><scope>AE2</scope><scope>BIXPP</scope><scope>REL</scope></search><sort><creationdate>2014</creationdate><title>Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution</title><author>Khan, Muhammad Aamir ; Rasheed, Mamoona ; Hanif, Muhammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c52N-fc172ece31db786087eebe649598997fd492c1c05e07aa67aa502c5d3f34495d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Economy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khan, Muhammad Aamir</creatorcontrib><creatorcontrib>Rasheed, Mamoona</creatorcontrib><creatorcontrib>Hanif, Muhammad</creatorcontrib><collection>Central and Eastern European Online Library (C.E.E.O.L.) (DFG Nationallizenzen)</collection><collection>CEEOL: Open Access</collection><collection>CEEOL</collection><jtitle>Journal of economics and business research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khan, Muhammad Aamir</au><au>Rasheed, Mamoona</au><au>Hanif, Muhammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution</atitle><jtitle>Journal of economics and business research</jtitle><addtitle>Journal of Economics and Business Research</addtitle><date>2014</date><risdate>2014</risdate><volume>20</volume><issue>1</issue><spage>161</spage><epage>172</epage><pages>161-172</pages><issn>2068-3537</issn><eissn>2069-9476</eissn><abstract>Okun law postulates a negative relationship between the movements of unemployment rate and the real gross domestic product. This study applied Quantile regression analysis to estimate the relationship between unemployment and its predictor GDP, and compared the results to parameter estimates using OLS regression. Conditional mean has been used as a solution to minimize the error variance. Time series annual data has been used from period 1973 to 2010. Predictor of unemployment used was GDP. Empirical Results of quantile regression analysis showed that for GDP parameter estimates were significant only for certain quantiles. Parameters for GDP were significant only for 5%, 10%, 95%. The GDP parameter had non- significant on OLS but not on all quantile from quantile regression</abstract><pub>Aurel Vlaicu University Publishing House</pub><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2068-3537
ispartof Journal of economics and business research, 2014, Vol.20 (1), p.161-172
issn 2068-3537
2069-9476
language eng
recordid cdi_ceeol_journals_565410
source Business Source Ultimate
subjects Economy
title Estimating the liaison between Unemployment and GDP beyond the Mean of the Distribution
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T13%3A46%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ceeol&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimating%20the%20liaison%20between%20Unemployment%20and%20GDP%20beyond%20the%20Mean%20of%20the%20Distribution&rft.jtitle=Journal%20of%20economics%20and%20business%20research&rft.au=Khan,%20Muhammad%20Aamir&rft.date=2014&rft.volume=20&rft.issue=1&rft.spage=161&rft.epage=172&rft.pages=161-172&rft.issn=2068-3537&rft.eissn=2069-9476&rft_id=info:doi/&rft_dat=%3Cceeol%3E565410%3C/ceeol%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c52N-fc172ece31db786087eebe649598997fd492c1c05e07aa67aa502c5d3f34495d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ceeol_id=565410&rfr_iscdi=true