非正式部门在GDP中的作用:一种面板估计方法

N. Kansara, G. Basak, P. Das
{"title":"非正式部门在GDP中的作用:一种面板估计方法","authors":"N. Kansara, G. Basak, P. Das","doi":"10.2139/ssrn.3808169","DOIUrl":null,"url":null,"abstract":"Estimation of the activities of the informal sector in an economy poses a serious problem for obtaining a correct estimate of GDP. This happens to be so because of the fact that informal sector activities are not registered. The literature has tried to solve the problem of estimation of the informal sector using the method of latent variables. The standard approach is generally aims to estimate for a single point. The present paper aims to model the statistical estimation of informal sector of many countries in a common framework and the evolution of the informal sector over time. Thus the adopted approach in this paper is panel estimation for a group of 22 countries, both from the developed and developing world. The study contributes in the literature by way of developing statistical model ‘Panel Dynamic Multiple Indicators and Multiple Causes’ model to account for the variations in the contribution of informal sector. Using the statistical model the paper presents modified estimates of the informal sector of the group of countries over a period ranging from 1990 through 2018. Our estimates of the informal sector are found to be generally higher, sometimes more than 10% for the developing country group while the estimates for the developed countries show little variability.","PeriodicalId":18085,"journal":{"name":"Macroeconomics: Employment","volume":"76 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Informal Sector in GDP: A Panel Estimation Method\",\"authors\":\"N. Kansara, G. Basak, P. Das\",\"doi\":\"10.2139/ssrn.3808169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimation of the activities of the informal sector in an economy poses a serious problem for obtaining a correct estimate of GDP. This happens to be so because of the fact that informal sector activities are not registered. The literature has tried to solve the problem of estimation of the informal sector using the method of latent variables. The standard approach is generally aims to estimate for a single point. The present paper aims to model the statistical estimation of informal sector of many countries in a common framework and the evolution of the informal sector over time. Thus the adopted approach in this paper is panel estimation for a group of 22 countries, both from the developed and developing world. The study contributes in the literature by way of developing statistical model ‘Panel Dynamic Multiple Indicators and Multiple Causes’ model to account for the variations in the contribution of informal sector. Using the statistical model the paper presents modified estimates of the informal sector of the group of countries over a period ranging from 1990 through 2018. Our estimates of the informal sector are found to be generally higher, sometimes more than 10% for the developing country group while the estimates for the developed countries show little variability.\",\"PeriodicalId\":18085,\"journal\":{\"name\":\"Macroeconomics: Employment\",\"volume\":\"76 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Macroeconomics: Employment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3808169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Macroeconomics: Employment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3808169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

对一个经济体中非正规部门活动的估计对于获得对国内生产总值的正确估计是一个严重的问题。之所以会出现这种情况,是因为非正规部门的活动没有登记。文献试图用潜在变量的方法来解决非正式部门的估计问题。标准方法通常是针对单个点进行估计。本文旨在对许多国家在一个共同框架下的非正式部门的统计估计和非正式部门随时间的演变进行建模。因此,本文采用的方法是对来自发达国家和发展中国家的22个国家进行小组估计。该研究通过开发统计模型“面板动态多指标和多原因”模型来解释非正式部门贡献的变化,从而在文献中做出贡献。利用统计模型,本文给出了1990年至2018年期间这些国家非正式部门的修正估计。我们对非正规部门的估计普遍较高,发展中国家的估计有时超过10%,而发达国家的估计几乎没有变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Informal Sector in GDP: A Panel Estimation Method
Estimation of the activities of the informal sector in an economy poses a serious problem for obtaining a correct estimate of GDP. This happens to be so because of the fact that informal sector activities are not registered. The literature has tried to solve the problem of estimation of the informal sector using the method of latent variables. The standard approach is generally aims to estimate for a single point. The present paper aims to model the statistical estimation of informal sector of many countries in a common framework and the evolution of the informal sector over time. Thus the adopted approach in this paper is panel estimation for a group of 22 countries, both from the developed and developing world. The study contributes in the literature by way of developing statistical model ‘Panel Dynamic Multiple Indicators and Multiple Causes’ model to account for the variations in the contribution of informal sector. Using the statistical model the paper presents modified estimates of the informal sector of the group of countries over a period ranging from 1990 through 2018. Our estimates of the informal sector are found to be generally higher, sometimes more than 10% for the developing country group while the estimates for the developed countries show little variability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deregulating Teacher Labor Markets Trends in Commuting Time of European Workers: A Cross-Country Analysis Labor Market Networks and Asset Returns Intergenerational Income Mobility and Economic Freedom as Positive Liberty Gender Identity, Co-Working Spouses and Relative Income within Households
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1