{"title":"The Impact of Mobile Phones on Change in Employment Status in South Africa","authors":"Lukasz Grzybowski, Zubair Maghmood Patel","doi":"10.1515/rne-2022-0008","DOIUrl":null,"url":null,"abstract":"In this paper we analyse whether having a mobile phone impacts chances of getting employed. We use five waves of panel data from the National Income Dynamic Survey (NIDS), which was conducted in South Africa between years 2008 and 2017. In the estimation we include a vector of observable individual and household characteristics and account for unobserved heterogeneity amongst individuals. The estimation results suggest that mobile phone ownership has a positive impact on the change in employment status from unemployed to employed. On the other hand, ownership of a computer by a household and computer literacy do not increase the likelihood of getting employed. The average probability of becoming employed increases from 54.2 % when no one among unemployed adults has a mobile phone to 57.4 % when all of them have a mobile phone, which is an increase of 5.9 %.","PeriodicalId":45659,"journal":{"name":"Review of Network Economics","volume":"8 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Network Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1515/rne-2022-0008","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
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Abstract
In this paper we analyse whether having a mobile phone impacts chances of getting employed. We use five waves of panel data from the National Income Dynamic Survey (NIDS), which was conducted in South Africa between years 2008 and 2017. In the estimation we include a vector of observable individual and household characteristics and account for unobserved heterogeneity amongst individuals. The estimation results suggest that mobile phone ownership has a positive impact on the change in employment status from unemployed to employed. On the other hand, ownership of a computer by a household and computer literacy do not increase the likelihood of getting employed. The average probability of becoming employed increases from 54.2 % when no one among unemployed adults has a mobile phone to 57.4 % when all of them have a mobile phone, which is an increase of 5.9 %.
期刊介绍：
The Review of Network Economics seeks to help policy makers, academics, and practitioners keep informed of new research and policy debate in network economics and related subjects that are relevant to the study of network industries. By publishing high quality research on topical issues relevant to network industries, it is hoped readers will be able to gain a deeper understanding of the economic issues involved and that this will improve the quality of decision making by private and public organisations, and debate among researchers. The articles can cover specific network industries, or may deal with general issues that have relevance to a number of different network industries, including topics in the economics of networks, regulation, competition law, or industrial organisation. Papers that provide insights into policy debates are especially welcome, as are up-to-date surveys, book reviews, and comments.
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