{"title":"Teknojik Değişme veıstihdam Arasındaki Dinamikılişki:Genç伊斯坦布尔stihdamıile Toplam伊斯坦布尔小组VAR ve Nedenselik Analizleri ile Karşılaştırılması","authors":"Selda Görkey","doi":"10.17233/sosyoekonomi.2022.04.01","DOIUrl":null,"url":null,"abstract":"This study empirically examines the relationship and causality between technological change and employment by comparing youth and total employment. It covers data from 16 OECD economies from 1985 to 2018 and uses multifactor productivity (MFP) as a proxy for technological change. The findings from the general method of moments panel vector autoregression (GMM Panel-VAR) approach indicate significant and positive effects of MFP on youth and total employment, and a significant yet negative impact of youth employment on MFP. According to Panel-VAR-Granger-Causality analysis results, there is a two-way causality between MFP and youth employment and a one-way causality from MFP to total employment. Thus, this study empirically confirms the job-creation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.","PeriodicalId":42679,"journal":{"name":"Sosyoekonomi","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Teknolojik Değişme ve İstihdam Arasındaki Dinamik İlişki: Genç İstihdamı ile Toplam İstihdamın Panel VAR ve Nedensellik Analizleri ile Karşılaştırılması\",\"authors\":\"Selda Görkey\",\"doi\":\"10.17233/sosyoekonomi.2022.04.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study empirically examines the relationship and causality between technological change and employment by comparing youth and total employment. It covers data from 16 OECD economies from 1985 to 2018 and uses multifactor productivity (MFP) as a proxy for technological change. The findings from the general method of moments panel vector autoregression (GMM Panel-VAR) approach indicate significant and positive effects of MFP on youth and total employment, and a significant yet negative impact of youth employment on MFP. According to Panel-VAR-Granger-Causality analysis results, there is a two-way causality between MFP and youth employment and a one-way causality from MFP to total employment. Thus, this study empirically confirms the job-creation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.\",\"PeriodicalId\":42679,\"journal\":{\"name\":\"Sosyoekonomi\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sosyoekonomi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17233/sosyoekonomi.2022.04.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sosyoekonomi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17233/sosyoekonomi.2022.04.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
摘要
本研究通过比较青年和总就业,实证检验了技术变革与就业之间的关系和因果关系。它涵盖了1985年至2018年经合组织16个经济体的数据,并使用多因素生产率(MFP)作为技术变革的指标。矩面板向量自回归通用方法(GMM-panel VAR)的研究结果表明,MFP对青年和总就业有显著而积极的影响,而青年就业对MFP有显著而消极的影响。根据Panel VAR Granger因果关系分析结果,最惠国待遇与青年就业之间存在双向因果关系,而最惠国政策与总就业之间存在单向因果关系。因此,本研究实证证实了技术创造就业的效应,并发现青年就业与总就业相比,技术变化和就业关系不同。
Teknolojik Değişme ve İstihdam Arasındaki Dinamik İlişki: Genç İstihdamı ile Toplam İstihdamın Panel VAR ve Nedensellik Analizleri ile Karşılaştırılması
This study empirically examines the relationship and causality between technological change and employment by comparing youth and total employment. It covers data from 16 OECD economies from 1985 to 2018 and uses multifactor productivity (MFP) as a proxy for technological change. The findings from the general method of moments panel vector autoregression (GMM Panel-VAR) approach indicate significant and positive effects of MFP on youth and total employment, and a significant yet negative impact of youth employment on MFP. According to Panel-VAR-Granger-Causality analysis results, there is a two-way causality between MFP and youth employment and a one-way causality from MFP to total employment. Thus, this study empirically confirms the job-creation effect of technology and finds out that the technological change and employment nexus differs for youth employment compared to that for total employment.