不同的估计方法会导致未观察到的或影子经济的规模存在难以置信的差异吗?初步回答

IF 4.2 2区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Annual Review of Resource Economics Pub Date : 2023-10-05 DOI:10.1146/annurev-resource-090822-114308
Friedrich Schneider
{"title":"不同的估计方法会导致未观察到的或影子经济的规模存在难以置信的差异吗?初步回答","authors":"Friedrich Schneider","doi":"10.1146/annurev-resource-090822-114308","DOIUrl":null,"url":null,"abstract":"This review evaluates three micro and three macro estimation approaches to determine whether unrealistic differences exist in estimating the size of nonobserved/shadow economies. While some macro-MIMIC estimates are higher than estimates using the statistical discrepancy approach, when adjusting for double-counting, MIMIC approaches provide similar results. Macro approaches usually cover not only typical shadow economy activities, but also voluntary work, do-it-yourself activities, and classical crime activities; by nature, macro approaches will lead to higher and more accurate estimates than micro approaches. However, if certain adjustments are made, the estimated size of the shadow economy using the MIMIC approach comes close to the size of the shadow economy indicated by micro survey approaches. Hence, claims that macro approaches are unrealistically high and rely on unrealistic assumptions must be reconsidered.","PeriodicalId":48856,"journal":{"name":"Annual Review of Resource Economics","volume":"24 1","pages":"0"},"PeriodicalIF":4.2000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do Different Estimation Methods Lead to Implausible Differences in the Size of Nonobserved or Shadow Economies? A Preliminary Answer\",\"authors\":\"Friedrich Schneider\",\"doi\":\"10.1146/annurev-resource-090822-114308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This review evaluates three micro and three macro estimation approaches to determine whether unrealistic differences exist in estimating the size of nonobserved/shadow economies. While some macro-MIMIC estimates are higher than estimates using the statistical discrepancy approach, when adjusting for double-counting, MIMIC approaches provide similar results. Macro approaches usually cover not only typical shadow economy activities, but also voluntary work, do-it-yourself activities, and classical crime activities; by nature, macro approaches will lead to higher and more accurate estimates than micro approaches. However, if certain adjustments are made, the estimated size of the shadow economy using the MIMIC approach comes close to the size of the shadow economy indicated by micro survey approaches. Hence, claims that macro approaches are unrealistically high and rely on unrealistic assumptions must be reconsidered.\",\"PeriodicalId\":48856,\"journal\":{\"name\":\"Annual Review of Resource Economics\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Resource Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-resource-090822-114308\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ECONOMICS & POLICY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Resource Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1146/annurev-resource-090822-114308","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0

摘要

本文评估了三种微观和三种宏观估计方法,以确定在估计未观察到的/影子经济的规模时是否存在不现实的差异。虽然一些宏观MIMIC的估计值高于使用统计差异方法的估计值,但在调整重复计算时,MIMIC方法提供了类似的结果。宏观途径不仅包括典型的影子经济活动,还包括志愿工作、自助活动和典型的犯罪活动;从本质上讲,宏观方法将比微观方法产生更高和更准确的估计。然而,如果进行某些调整,使用MIMIC方法估计的影子经济规模接近微观调查方法显示的影子经济规模。因此,必须重新考虑宏观方法不切实际的高和依赖于不切实际的假设的说法。
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
Do Different Estimation Methods Lead to Implausible Differences in the Size of Nonobserved or Shadow Economies? A Preliminary Answer
This review evaluates three micro and three macro estimation approaches to determine whether unrealistic differences exist in estimating the size of nonobserved/shadow economies. While some macro-MIMIC estimates are higher than estimates using the statistical discrepancy approach, when adjusting for double-counting, MIMIC approaches provide similar results. Macro approaches usually cover not only typical shadow economy activities, but also voluntary work, do-it-yourself activities, and classical crime activities; by nature, macro approaches will lead to higher and more accurate estimates than micro approaches. However, if certain adjustments are made, the estimated size of the shadow economy using the MIMIC approach comes close to the size of the shadow economy indicated by micro survey approaches. Hence, claims that macro approaches are unrealistically high and rely on unrealistic assumptions must be reconsidered.
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
Annual Review of Resource Economics
Annual Review of Resource Economics AGRICULTURAL ECONOMICS & POLICY-
CiteScore
9.40
自引率
0.00%
发文量
34
期刊介绍: The Annual Review of Resource Economics provides authoritative critical reviews evaluating the most significant research developments in resource economics, focusing on agricultural economics, environmental economics, renewable resources, and exhaustible resources.
期刊最新文献
Looking Backward, Looking Forward The Shadow Economy, an Enigma, in the Agriculture of 15 EU Member States over the Period 1996–2019 Agricultural Productivity and Climate Mitigation The Economics of Electricity and Development: Planning for Growth and a Changing Climate Navigating the Complexity: The Sustainability Challenges in Global Value Chains
×
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