{"title":"A Real-Business-Cycle model with robots: Lessons for Bulgaria","authors":"Aleksandar Vasilev","doi":"10.14505/jmef.v7.2(13).01","DOIUrl":null,"url":null,"abstract":"\n \n \nRobots are introduced into a real-business-cycle setup augmented with a detailed government sector. Robots are modeled as an imperfect substitute for labor services. The model is calibrated to Bulgarian data for the period following the intro- duction of the currency board arrangement (1999-2020). The quantitative importance of the presence of robots in the economy is investigated for business cycle fluctuations in Bulgaria. In the presence of robots, wages increase, but employment falls after a technology shock. However, for plausible parameter values, the effect is predicted to be quite small. \n \n \n","PeriodicalId":367341,"journal":{"name":"Journal of Mathematical Economics and Finance","volume":"196 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Economics and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14505/jmef.v7.2(13).01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Robots are introduced into a real-business-cycle setup augmented with a detailed government sector. Robots are modeled as an imperfect substitute for labor services. The model is calibrated to Bulgarian data for the period following the intro- duction of the currency board arrangement (1999-2020). The quantitative importance of the presence of robots in the economy is investigated for business cycle fluctuations in Bulgaria. In the presence of robots, wages increase, but employment falls after a technology shock. However, for plausible parameter values, the effect is predicted to be quite small.