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The empirics of technology, employment and occupations: Lessons learned and challenges ahead 技术、就业和职业的经验：经验教训和未来挑战
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-12-11 DOI: 10.1111/joes.12601
Fabio Montobbio, Jacopo Staccioli, Maria Enrica Virgillito, Marco Vivarelli
{"title":"The empirics of technology, employment and occupations: Lessons learned and challenges ahead","authors":"Fabio Montobbio, Jacopo Staccioli, Maria Enrica Virgillito, Marco Vivarelli","doi":"10.1111/joes.12601","DOIUrl":"https://doi.org/10.1111/joes.12601","url":null,"abstract":"This paper is a critical review of the empirical literature resulting from recent years of debate and analysis regarding technology and employment and the future of work as threatened by technology, outlining both lessons learned and challenges ahead. We distinguish three waves of studies and relate their heterogeneous findings to the choice of technological proxies, the level of aggregation, the adopted research methodology and to the relative focus on robots, automation and AI. The challenges ahead include the need for awareness of possible <i>ex-ante</i> biases associated with the adopted proxies for innovation; the recognition of the trade-off between microeconometric precision and a more holistic macroeconomic approach; the need for granular analysis of the reallocation and transformation of occupations and tasks brought about by different types of new technologies; the call for a closer focus on impacts on labor quality, in terms of types of jobs and working conditions.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138579630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Selective and (mis)leading economics journals: Meta-research evidence 经济学期刊的选择性和（误）引导性：元研究证据
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-12-08 DOI: 10.1111/joes.12598
Zohid Askarov, Anthony Doucouliagos, Hristos Doucouliagos, T. D. Stanley
{"title":"Selective and (mis)leading economics journals: Meta-research evidence","authors":"Zohid Askarov, Anthony Doucouliagos, Hristos Doucouliagos, T. D. Stanley","doi":"10.1111/joes.12598","DOIUrl":"https://doi.org/10.1111/joes.12598","url":null,"abstract":"We assess statistical power and excess statistical significance among 31 leading economics general interest and field journals using 22,281 parameter estimates from 368 distinct areas of economics research. Median statistical power in leading economics journals is very low (only 7%), and excess statistical significance is quite high (19%). Power this low and excess significance this high raise serious doubts about the credibility of economics research. We find that 26% of all reported results have undergone some process of selection for statistical significance and 56% of statistically significant results were selected to be statistically significant. Selection bias is greater at the top five journals, where 66% of statistically significant results were selected to be statistically significant. A large majority of empirical evidence reported in leading economics journals is potentially misleading. Results reported to be statistically significant are about as likely to be misleading as not (falsely positive) and statistically nonsignificant results are much more likely to be misleading (falsely negative). We also compare observational to experimental research and find that the quality of experimental economic evidence is notably higher.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138563600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The environment, life expectancy, and growth in overlapping generations models: A survey 世代重叠模型中的环境、预期寿命和增长：调查
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-12-08 DOI: 10.1111/joes.12602
Anna Dugan, Alexia Prskawetz, Natacha Raffin
{"title":"The environment, life expectancy, and growth in overlapping generations models: A survey","authors":"Anna Dugan, Alexia Prskawetz, Natacha Raffin","doi":"10.1111/joes.12602","DOIUrl":"https://doi.org/10.1111/joes.12602","url":null,"abstract":"It is widely accepted that environmental and demographic changes will significantly influence the future of our society. In recent years, an increasing number of studies has analyzed the interlinkages among economic growth, environmental factors, and a specific demographic variable, namely life expectancy, applying an overlapping generations framework. The aim of this survey is threefold. First, we review the role of life expectancy and pollution for sustainable growth. Second, we discuss the role of intervening factors like health investment and technological progress as well as institutional settings including government expenditures, tax structures, and inequality. Finally, we summarize policy implications obtained in different models and compare them to each other.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138563994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A review on ESG investing: Investors’ expectations, beliefs and perceptions ESG投资研究综述:投资者的期望、信念和认知
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-12-06 DOI: 10.1111/joes.12599
Roman Kräussl, Tobi Oladiran, Denitsa Stefanova
{"title":"A review on ESG investing: Investors’ expectations, beliefs and perceptions","authors":"Roman Kräussl,&nbsp;Tobi Oladiran,&nbsp;Denitsa Stefanova","doi":"10.1111/joes.12599","DOIUrl":"10.1111/joes.12599","url":null,"abstract":"<p>This study examines the recent literature on the expectations, beliefs and perceptions of investors who incorporate Environmental, Social, Governance (ESG) considerations in investment decisions with the aim to generate superior performance or make a societal impact. Through the lens of equilibrium models of agents with heterogeneous tastes for ESG investments, green assets are expected to generate lower returns in the long run compared to their non-ESG counterparts. However, in the short run, ESG investments can outperform non-ESG investments through various channels. Empirically, results for the relative performance to ESG investment are mixed. We find strong empirical evidence in the literature that investors have a preference for ESG and that their actions can generate positive social impact through engagement. The shift towards more sustainable policies in firms is motivated by the increased market values and the lower cost of capital of green firms driven by investors’ choices.</p>","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joes.12599","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A review on ESG investing: Investors’ expectations, beliefs and perceptions ESG投资研究综述:投资者的期望、信念和认知
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-12-06 DOI: 10.1111/joes.12599
Roman Kräussl, Tobi Oladiran, Denitsa Stefanova
{"title":"A review on ESG investing: Investors’ expectations, beliefs and perceptions","authors":"Roman Kräussl, Tobi Oladiran, Denitsa Stefanova","doi":"10.1111/joes.12599","DOIUrl":"https://doi.org/10.1111/joes.12599","url":null,"abstract":"This study examines the recent literature on the expectations, beliefs and perceptions of investors who incorporate Environmental, Social, Governance (ESG) considerations in investment decisions with the aim to generate superior performance or make a societal impact. Through the lens of equilibrium models of agents with heterogeneous tastes for ESG investments, green assets are expected to generate lower returns in the long run compared to their non-ESG counterparts. However, in the short run, ESG investments can outperform non-ESG investments through various channels. Empirically, results for the relative performance to ESG investment are mixed. We find strong empirical evidence in the literature that investors have a preference for ESG and that their actions can generate positive social impact through engagement. The shift towards more sustainable policies in firms is motivated by the increased market values and the lower cost of capital of green firms driven by investors’ choices.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Meta-analysis of social science research: A practitioner's guide 社会科学研究的元分析:实践者指南
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-11-23 DOI: 10.1111/joes.12595
Zuzana Irsova, Hristos Doucouliagos, Tomas Havranek, T. D. Stanley
{"title":"Meta-analysis of social science research: A practitioner's guide","authors":"Zuzana Irsova, Hristos Doucouliagos, Tomas Havranek, T. D. Stanley","doi":"10.1111/joes.12595","DOIUrl":"https://doi.org/10.1111/joes.12595","url":null,"abstract":"This article provides concise, nontechnical, step-by-step guidelines on how to conduct a modern meta-analysis, especially in social sciences. We treat publication bias, <i>p-</i>hacking, and systematic heterogeneity as phenomena meta-analysts must always confront. To this end, we provide concrete methodological recommendations. Meta-analysis methods have advanced notably over the last few years. Yet many meta-analyses still rely on outdated approaches, some ignoring publication bias and systematic heterogeneity. While limitations persist, recently developed techniques allow robust inference even in the face of formidable problems in the underlying empirical literature. The purpose of this paper is to summarize the state of the art in a way accessible to aspiring meta-analysts in any field. We also discuss how meta-analysts can use advances in artificial intelligence to work more efficiently.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Meta-analysis of social science research: A practitioner's guide 社会科学研究的元分析:实践者指南
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-11-23 DOI: 10.1111/joes.12595
Zuzana Irsova, Hristos Doucouliagos, Tomas Havranek, T. D. Stanley
{"title":"Meta-analysis of social science research: A practitioner's guide","authors":"Zuzana Irsova, Hristos Doucouliagos, Tomas Havranek, T. D. Stanley","doi":"10.1111/joes.12595","DOIUrl":"https://doi.org/10.1111/joes.12595","url":null,"abstract":"This article provides concise, nontechnical, step-by-step guidelines on how to conduct a modern meta-analysis, especially in social sciences. We treat publication bias, <i>p-</i>hacking, and systematic heterogeneity as phenomena meta-analysts must always confront. To this end, we provide concrete methodological recommendations. Meta-analysis methods have advanced notably over the last few years. Yet many meta-analyses still rely on outdated approaches, some ignoring publication bias and systematic heterogeneity. While limitations persist, recently developed techniques allow robust inference even in the face of formidable problems in the underlying empirical literature. The purpose of this paper is to summarize the state of the art in a way accessible to aspiring meta-analysts in any field. We also discuss how meta-analysts can use advances in artificial intelligence to work more efficiently.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
e-Commerce platforms and self-preferencing 电子商务平台与自我偏好
IF 5.9 2区 经济学
Journal of Economic Surveys Pub Date : 2023-11-16 DOI: 10.1111/joes.12594
Federico Etro
{"title":"e-Commerce platforms and self-preferencing","authors":"Federico Etro","doi":"10.1111/joes.12594","DOIUrl":"10.1111/joes.12594","url":null,"abstract":"<p>I review the literature on eCommerce platforms with particular emphasis on the antitrust debate on Amazon. The business model of hybrid marketplaces is based on monetization through fees on third party sellers hosted on the platform and direct margins on own products. Recent theoretical and empirical work on endogenous marketplace structures has analyzed the welfare impact of the dual mode and of recommendation algorithms that have been associated with self-preferencing strategies. The trade offs are complex and one cannot easily conclude that Amazon entry is biased to expropriate third party sellers or that a ban on dual mode, self-preferencing or copycatting would benefit consumers.</p>","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joes.12594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
e-Commerce platforms and self-preferencing 电子商务平台与自我偏好
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-11-16 DOI: 10.1111/joes.12594
Federico Etro
{"title":"e-Commerce platforms and self-preferencing","authors":"Federico Etro","doi":"10.1111/joes.12594","DOIUrl":"https://doi.org/10.1111/joes.12594","url":null,"abstract":"I review the literature on eCommerce platforms with particular emphasis on the antitrust debate on Amazon. The business model of hybrid marketplaces is based on monetization through fees on third party sellers hosted on the platform and direct margins on own products. Recent theoretical and empirical work on endogenous marketplace structures has analyzed the welfare impact of the dual mode and of recommendation algorithms that have been associated with self-preferencing strategies. The trade offs are complex and one cannot easily conclude that Amazon entry is biased to expropriate third party sellers or that a ban on dual mode, self-preferencing or copycatting would benefit consumers.","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Behavioral finance: Evolution from the classical theory and remarks 行为金融学:从经典理论和评论的演变
IF 5.3 2区 经济学
Journal of Economic Surveys Pub Date : 2023-11-16 DOI: 10.1111/joes.12593
Roberto Arturo Agudelo Aguirre, Alberto Antonio Agudelo Aguirre
{"title":"Behavioral finance: Evolution from the classical theory and remarks","authors":"Roberto Arturo Agudelo Aguirre,&nbsp;Alberto Antonio Agudelo Aguirre","doi":"10.1111/joes.12593","DOIUrl":"10.1111/joes.12593","url":null,"abstract":"<p>Behavioral finance has emerged from the divergences observed to explain and address the traditional theories of finance and serves as supplement to classical finance by introducing behavioral aspects to decision-making. This study provides academics with a comprehensible and complete synopsis of the evolution of behavioral finance, as well as critical insight is provided. The synopsis was based on the search for publications in Web of Science (<i>WoS</i>) and <i>Scopus</i> and the use of R, Gephi and <i>Tree of Science -ToS-</i> software, using citation analysis, graphos and classification analysis. The results showed psychological aspects, investment in stocks and cognitive biases with the highest visibility. A tree-like structure of hierarchization was developed by ToS. The clusters of publications with the greatest literary contribution were analyzed and the publications with the greatest visibility in each cluster identified. This study provides insights into the current trend in finance towards better understanding of the essential factors in the investor´s decision making.</p>","PeriodicalId":51374,"journal":{"name":"Journal of Economic Surveys","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138539453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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