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Market Efficiency During the COVID-19 Pandemic. Some Insights Using Non-Parametric Tests COVID-19大流行期间的市场效率。使用非参数测试的一些见解
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-26 DOI: 10.1080/00128775.2023.2281455
Andreea Iordache
This paper examines the weak form of the Efficient Market Hypothesis (EMH) across fourteen European Stock Markets from October 2018 to April 2021, a period divided into subsamples based on the outb...
本文研究了2018年10月至2021年4月期间14个欧洲股票市场的有效市场假说(EMH)的弱形式,这一时期根据外部数据划分为子样本。
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引用次数: 0
Labor Market Outcomes of Unemployed Czech and Polish Workers: Catching-Up with Austria? 捷克和波兰失业工人的劳动力市场结果:追赶奥地利?
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-25 DOI: 10.1080/00128775.2023.2278808
Vladislav Flek, Martin Hála, Martina Mysíková
This paper examines the micro-determinants of unemployment durations and exits in Czechia, Poland and Austria. Our hazard estimates utilize EU-SILC data and identify national specificities in which...
本文考察了捷克、波兰和奥地利失业持续时间和退出的微观决定因素。我们的危害评估利用了欧盟silc数据,并确定了国家特异性,其中……
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引用次数: 0
Twenty-Five Years of Polish Equity Market Performance: The Questionable Force Shaping Economic Property Rights Institutions 25年的波兰股票市场表现:塑造经济产权制度的可疑力量
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-24 DOI: 10.1080/00128775.2023.2281456
Anna P. Malinowska
This papere explores and quantifies the evolution of equity market performance and economic property rights dynamics in a reinstated market economy in Poland in the years 1995 to 2021. Using dynami...
本文探讨并量化了1995年至2021年波兰恢复市场经济中股票市场表现和经济产权动态的演变。使用dynami…
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引用次数: 0
Subsidies and Employment: Exploring the Experience of Corporate and Family Farms in Russia 补贴与就业:俄罗斯企业农场与家庭农场的经验探索
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-19 DOI: 10.1080/00128775.2023.2278810
Philip Kostov, Sophia Davidova, Yulia Nikulina, Valeria Arefieva
The paper investigates whether agricultural enterprises and the family farm sector in Russia respond differently to agricultural subsidies with respect to agricultural employment. Results show that...
本文调查了俄罗斯农业企业和家庭农场部门对农业补贴在农业就业方面的反应是否不同。结果表明……
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引用次数: 0
What Happens to Listed Firms When Their Managers or Board Members Join Politics? 当上市公司的经理或董事会成员参政时会发生什么?
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-17 DOI: 10.1080/00128775.2023.2279211
Krzysztof Jackowicz, Łukasz Kozłowski
We examine the consequences of a firm’s manager or board members transferring to politics. If social ties with ex-employers can withstand the test of time, the new political powers of former manage...
我们研究了公司经理或董事会成员转行从政的后果。如果与前雇主的社会关系能够经受住时间的考验,那么前任管理者的新政治权力……
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引用次数: 0
The Effect of the Pandemic and the War in Ukraine on the Riskiness of Financial Investments in Three Central European Countries 大流行和乌克兰战争对中欧三国金融投资风险的影响
IF 1.1 4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-17 DOI: 10.1080/00128775.2023.2278809
Quang Van Tran, Jiri Malek
The COVID pandemic and the war in Ukraine are extraordinary events causing excessive turbulence in financial markets. Considering the leptokurtic and heteroscedastic properties of returns on financ...
新冠肺炎疫情和乌克兰战争是导致金融市场过度动荡的特殊事件。考虑金融资产收益率的瘦峰性和异方差性。
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引用次数: 0
Did World War II Deaths Help Prevent Deaths from COVID-19? 第二次世界大战的死亡有助于预防COVID-19的死亡吗?
4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-14 DOI: 10.1080/00128775.2023.2278806
Michael Lokshin, Martin Ravallion, Vladimir Kolchin
ABSTRACTThe paper documents and tries to explain a striking negative correlation between COVID-19 mortality across countries and deaths during World War II. The correlation persists with various controls for observables and allowing for latent omitted variables, using the pre-war distribution of the Jewish population for identification. The correlation also survives influence and falsification tests, measurement-error adjustments, and tests for spatial autocorrelation, which can generate spurious historical dependence. We suggest a theoretical explanation whereby large shocks promote institutions and cooperative behavioral norms – interpretable as civic capital – that initially help attenuate losses from future large shocks, though with fading impact over time.KEYWORDS: COVID-19Europerare eventsshocksWorld War IIJEL CLASSIFICATION: D74I12N10 Disclosure StatementNo potential conflict of interest was reported by the author(s).FindingThis paper’s findings, interpretations, and conclusions are entirely those of the authors and do not necessarily represent the views of their employers including the World Bank, its Executive Directors, or the countries they represent. The authors thank Branko Milanovic for discussions, Toan Do, Ivan Torre and Dominique van de Walle for their comments, and two anonymous referees for their constructive comments and suggestions.Notes1. For a recent survey see Cioni et al. (Citation2021) and Dupraz and Ferrara (Citation2023).2. All but the last is reasonably well known; on the last see Kelly (Citation2020). The historical literature on the development of social policies points to a degree of spatial correlation (Ferrera Citation2005).3. See, for example, the discussion in Arthi and Parman (Citation2021), with reference to the 2020/21 pandemic and its potential future impacts.4. The literature on social capital and health has pointed to such a distinction between “cognitive” and “structural” social capital (Murayama, Yoshinori, and Kawachi Citation2012).5. The index appears to rank countries differently from rankings based on similar perception-based measures (i.e., WGI). For example, El Salvador has Civil Capital index of 0.08 while that index for France is −0.59 and 0.00 for Finland. Such differences might arise from differences in country/culture-specific subjective scales respondent use when answering these questions (Ravallion and Lokshin Citation2001)6. Also see Egorov (Citation2020) on Russia’s success in rapidly containing a smallpox outbreak around 1960. The success would not have been possible without widespread public acceptance.7. Surveys data for the U.S. indicate a strong association between the acceptance of social norms for cooperative health behaviors and actual personal preventative actions during the pandemic (Goldberg et al. Citation2020). Also, for the U.S., Barrios et al. (Citation2021) find greater use of face masks in counties with higher measures of civic capital.8. WWII is often mentioned as a turn
摘要本文记录并试图解释各国COVID-19死亡率与第二次世界大战期间死亡人数之间惊人的负相关性。使用战前犹太人口的分布进行识别,这种相关性通过各种可观察的控制和允许潜在的遗漏变量而持续存在。相关性也经受住了影响和证伪检验、测量误差调整和空间自相关检验,这可能产生虚假的历史依赖。我们提出了一种理论解释,即大冲击促进制度和合作行为规范——可解释为公民资本——最初有助于减轻未来大冲击的损失,尽管随着时间的推移影响会逐渐减弱。关键词:covid -19欧洲事件冲击第二次世界大战分类:D74I12N10披露声明作者未报告潜在利益冲突。本文的发现、解释和结论完全是作者的观点,并不一定代表其雇主(包括世界银行、世行执行董事或其所代表的国家)的观点。作者感谢Branko Milanovic的讨论,Toan Do, Ivan Torre和Dominique van de Walle的评论,以及两位匿名裁判的建设性意见和建议。关于最近的一项调查,请参阅Cioni等人(Citation2021)和Dupraz和Ferrara (Citation2023)。除了最后一种,其他的都相当为人所知;最后一次见Kelly (Citation2020)。关于社会政策发展的历史文献指出了一定程度的空间相关性(Ferrera Citation2005)。例如,参见Arthi和Parman关于2020/21年大流行及其未来潜在影响的讨论(Citation2021)。关于社会资本和健康的文献已经指出了“认知”和“结构性”社会资本之间的区别(Murayama, Yoshinori, and Kawachi Citation2012)。该指数对国家的排名似乎不同于基于类似的基于感知的衡量标准(即WGI)的排名。例如,萨尔瓦多的公民资本指数为0.08,而法国的指数为- 0.59,芬兰为0.00。这种差异可能源于受访者在回答这些问题时使用的国家/文化特定主观量表的差异(Ravallion和Lokshin Citation2001)。另见Egorov (Citation2020)关于1960年前后俄罗斯成功迅速遏制天花爆发的文章。如果没有公众的广泛接受,这次成功是不可能的。美国的调查数据表明,在大流行期间,接受合作健康行为的社会规范与实际的个人预防行动之间存在很强的关联(Goldberg et al.)。Citation2020)。此外,对于美国,Barrios等人(Citation2021)发现,在公民资本水平较高的县,口罩的使用率更高。二战经常被认为是欧洲社会政策制定的转折点;例如,参见费雷拉(Citation2005)的讨论。Wu (Citation2020)对社会资本在成功应对COVID-19大流行中的作用的社会学文献进行了更全面的回顾。当我们在实证规范中加入两项研究中使用的政府有效性指标(Kaufmann, Kraay, and Mastruzzi Citation2006)时,其系数不具有统计学显著性,而二战总损失系数的符号和显著性没有变化。同样,我们发现政府有效性指标在二战总损失上没有显著的回归结果。我们用国际国家风险指南(ICRG)官僚质量评级(Howell Citation2011)中国家能力的另一种定义重新估计了我们的模型,并获得了类似的结果。因此,我们没有发现国家能力影响二战损失与COVID死亡率之间关系的证据。教育家经常强调直接经验对知识的重要性,而不是对正规教育的重要性;例如,参见Boud等人的讨论(Citation1993)。后一种假设可以通过想象特殊情况来合理化,其中u(τ,0) = u μ (0)-c(τ),其中c(τ)是一个递增的凸代价函数,尽管我们不需要这种可分离的结构。假设冲击前景的期望福利在τ.14内是凹的,则二阶条件得到满足。到目前为止,我们的其他假设不能排除一个非平稳过程,这意味着连续的大冲击具有越来越大的福利效应,积极和消极交替。那可以被认为是一个实证问题。我们不知道关于二战期间国家层面损失的统一数据来源。 例如,最著名的来源之一,人类死亡率数据库(Citation2021),由加州大学伯克利分校马克斯普朗克人口研究所制作,或乌普萨拉冲突数据计划(UCDP Citation2021)缺乏二战期间的死亡率数据。我们在第3.16节中讨论了二战损失估计的准确性问题。例如,巴尔干国家的损失是根据南斯拉夫的损失计算的。对于后苏联国家,我们分别使用了1939年和1937年的苏联人口普查。虽然第二次世界大战的人员损失是巨大的,但对于胜利者来说,GDP损失似乎是适度的,并且对于失败者来说,被认为在15-20年内已经消散(Organski和Kugler引文,1977)。在这一来源中还有其他可用的措施,尽管它们往往是高度相关的。随后,匈牙利、罗马尼亚和保加利亚也加入了该协定。经济互助委员会(COMECON)是1949年至1991年在苏联领导下的一个经济组织,除其他国家外,包括阿尔巴尼亚、保加利亚、捷克斯洛伐克、匈牙利、波兰、罗马尼亚和苏联(Kaser引文1967)。国家c和国家j之间的道德距离是国家之间的道德差异值I对维度I的方差V加权的所有维度d的平方的平均值,如MDcj≡∑I =1dIij−Iic2/(Vid).23。虽然图1显示了非线性关系,但我们选择了更简洁的线性回归。我们对功能形式做了两次测试。首先,我们纳入了二战死亡率的平方值,但其系数与零没有显著差异。其次,我们用每百万死亡人数的反双曲正弦变换作为因变量测试了一个规范,并将相同的变换应用于二战死亡人数。这给出了质量上相似的结果。对同一组协变量的累积COVID-19感染率的估计没有显著结果。我们还使用全球治理指数数据集中的其他治理指标来估计规范:政治稳定和无暴力、政府效率、监管质量、法治和腐败控制。这些变量都没有在估计中显示出显著的系数。这些结果可以从作者那里得到。有两个国家缺少数据,即格陵兰和黑山。有两个国家的数据缺失,格陵兰和塔吉克斯坦。1939年的人口份额给出了类似的结果,但在第一阶段回归中稍微不那么显著。例如,对于表2第(3)行中的一组对照,犹太人口份额的系数为1.17,稳健标准误差为0.27;总F统计量为11.56 (probb)。2/√N, N是样本量,38。由于失去了三个国家,我们没有包括卫生系统效率控制或道德距离控制。基于易出错回归量的回归将产生不一致的估计量,不仅对于有错误测量的变量,而且对于所有模型参数(例如,参见bonaccorsi Citation2010)。变量中的误差回归在Stata eivreg例程中实现(Lockwood和McCaffrey Citation2020)。作者简介michael Lokshin是世界银行欧洲和中亚地区首席经济学家办公室的首席经济学家。他的研究主要集中在贫困和不平等测量、劳动经济学和应用计量经济学领域。他拥有莫斯科物理与技术学院的物理学硕士学位和北卡罗来纳大学教堂山分校的经济学博士学位。Martin Ravallion是乔治城大学首任Edmond D. Villani经济学主席,此前他曾担任世界银行研究部主任。他曾为许多政府和国际机构提供有关贫困和消除贫困政策的建议,并就这一问题和其他经济学主
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引用次数: 0
Understanding Financial Inclusion of Individuals Engaged in Agriculture: Evidence from Upper-Middle-Income Balkan Economies 理解从事农业的个人的金融包容性:来自中高收入巴尔干经济体的证据
4区 经济学 Q3 ECONOMICS Pub Date : 2023-11-09 DOI: 10.1080/00128775.2023.2279228
Isidora Ljumovic, Vlado Kovacevic, Irena Jankovic
ABSTRACTEmphasizing upper-middle-income Balkan Economies, this study focuses on the determinants of financial inclusion on a sample of individuals engaged in agriculture. Using logit estimations, we investigate socio-economic characteristics influencing financial inclusion, including owning a bank account and holding savings. Results reveal that individual characteristics, such as education, income, gender, and online payment usage are influential drivers. Financial inclusion is also impacted by economy-level variables including the share of agriculture in GDP and financial infrastructure density. The study underscores the importance of tailored policies to promote financial inclusion, particularly for vulnerable groups in agriculture-dependent economies.KEYWORDS: Financial inclusionformal accountincome inequalitysaving accountJEL CLASSIFICATION: C21G21E21O12O16 AcknowledgmentsThis paper results from the research financed by the Ministry of Education, Science, and Technological Development of the Republic of Serbia.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsIsidora LjumovicIsidora Ljumović is a principal research fellow at the Institute of Economic Sciences from Belgrade. She holds a PhD in Economics and a bachelor’s degree in Organizational Sciences. Dr. Ljumović has been involved in several domestic and international projects and initiatives, including those funded by the national ministries, the World Bank, and the European Union. She has contributed to many scientific conferences in Serbia and abroad, having published four monographs and more than fifty scientific papers in domestic and international scientific journals and thematic collections. Dr. Ljumović is a member of the Committee for Economic Sciences at Serbian Academy of Science and Arts, the Scientific Society of Economists of Serbia, and the International Association of Engineers. She is fluent in English and speaks German.Vlado KovacevicVlado I. Kovačević holds a bachelor and PhD from the Faculty of Agriculture, University of Belgrade. He worked within the Ministry of Agriculture, Forestry and Water Management as an Advisor in the Sector for International Cooperation. In TD Waterhouse Edmonton, Canada he worked as Financial Market Analyst. He was appointed Advisor to the Minister in the Ministry of Agriculture, Trade, Forestry and Water Management. Since 2016 he has been working as a Senior Research Associate at the Institute of Agricultural Economics in Belgrade. He is a member of the Steering Committee of the Institute of Agricultural Economics, member of the Supervisor Committee of the Agrocluster Serbia and Innovation Centre of Zlatibor. He is a member of the Scientific Society of Economists of Belgrade.Irena JankovicIrena Janković is an associate professor of Finance at the University of Belgrade, Faculty of Economics. She graduated and obtained her master and PhD from the University of Belgra
摘要:本研究以巴尔干中高收入经济体为重点,重点研究了农业个体样本中金融包容性的决定因素。使用logit估计,我们研究了影响普惠金融的社会经济特征,包括拥有银行账户和持有储蓄。结果显示,个人特征,如教育程度、收入、性别和在线支付使用情况是有影响的驱动因素。普惠金融还受到经济层面变量的影响,包括农业在GDP中的份额和金融基础设施密度。该研究强调了制定有针对性的政策以促进普惠金融的重要性,特别是对依赖农业的经济体中的弱势群体。关键词:普惠金融正规账户收入不平等储蓄账户分类:C21G21E21O12O16致谢本文来自塞尔维亚共和国教育、科学和技术发展部资助的研究。披露声明作者未报告潜在的利益冲突。作者简介:西西多拉·柳莫维奇,贝尔格莱德经济科学研究所首席研究员。她拥有经济学博士学位和组织科学学士学位。ljumovovic博士参与了多个国内和国际项目和倡议,包括由国家部委、世界银行和欧盟资助的项目和倡议。她在塞尔维亚和国外的许多科学会议上做出了贡献,在国内外科学期刊和专题文集上发表了四部专著和五十多篇科学论文。ljumovovic博士是塞尔维亚科学和艺术学院经济科学委员会、塞尔维亚经济学家科学学会和国际工程师协会的成员。她英语说得很流利,还会说德语。Vlado I. kova evic,贝尔格莱德大学农学院学士和博士学位。他曾在农业、林业和水资源管理部担任国际合作部门顾问。在加拿大埃德蒙顿,他曾担任金融市场分析师。他被任命为农业、贸易、林业和水管理部部长的顾问。自2016年以来,他一直在贝尔格莱德农业经济研究所担任高级研究员。他是农业经济研究所指导委员会成员、塞尔维亚农业集群监督委员会成员和Zlatibor创新中心成员。他是贝尔格莱德经济学家科学学会的成员。Irena jankovic,贝尔格莱德大学经济学院金融学副教授。毕业于贝尔格莱德大学经济学院,并获得硕士和博士学位。她是四部专著的作者,并在国际和国内期刊上发表了许多文章和章节。她的研究领域涵盖金融市场和金融工具、投资组合分析和风险管理的各个方面。她是经济和金融领域相关国内和国际项目的撰稿人。Irena jankoviki是几家高评价的国际和国内科学期刊的编辑委员会成员和审稿人。她是塞尔维亚和贝尔格莱德经济学家科学学会的成员。
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引用次数: 0
Determinants of Export Diversification: The Case of Russian Regions 出口多样化的决定因素:以俄罗斯地区为例
4区 经济学 Q3 ECONOMICS Pub Date : 2023-10-08 DOI: 10.1080/00128775.2023.2265919
Rogneda Vasilyeva, Alina Urazbaeva, Valentin Voytenkov
ABSTRACTThe hydrocarbon sector accounts for 50% of Russian exports, leading to high commodity price volatility risks for the economy. Prior literature emphasizes the role of export diversification in development and in hedging external shocks. We investigate factors affecting regional export diversification, applying method of moments quantile regression. We devise two export diversification measures, using Theil and Herfindahl indices. Our empirical findings demonstrate that innovations spur export diversification in industrial regions, while small and medium enterprises diversify exports in industrial and non-resource regions. Natural resource extraction enforces regional exports concentration. We develop policy implications for Russian regional policymakers considering the specialization of regional economies.KEYWORDS: Export diversificationnatural resourcesRussian regionssmall and medium enterprisesTheil indexJEL Classification: F14R11 AcknowledgmentsThis study was supported by the grant of the Russian Science Foundation No: 19-18-00262 ‘Empirical modelling of balanced technological and socioeconomic development in the Russian regions’Disclosure statementNo potential conflict of interest was reported by the authors.Supplementary materialSupplemental data for this article can be accessed online at https://doi.org/10.1080/00128775.2023.2265919Notes1. According to the law “On the development of small and medium-sized enterprises in the Russian Federation,” the following requirements apply to obtain the status of a small or medium-sized enterprise. An average number of employees per year: 16 to 100 employees for small enterprises and 101 to 250 employees for medium-sized enterprises. A limit applies to annual revenues: 800 million rubles for small enterprises and 2 billion rubles for medium-sized enterprises (OECD iLibrary Citation2020).2. The Commodity Nomenclature of Foreign Economic Activity (rus. TN VED) classification is based on 4-digit commodity items, identical to similar items of the international Harmonized Commodity Description and Coding System.3. Based on data availability.Additional informationFundingThis work was supported by the Russian Science Foundation [19-18-00262].Notes on contributorsRogneda VasilyevaRogneda Vasilyeva, Senior Lecturer, Department of Economics; Junior Researcher, Laboratory of Regional and International Economics, Ural Federal University, Ekaterinburg, Russia.Alina UrazbaevaAlina Urazbaeva, Kedge Business School, Marseille, France; Faculty of Economic Sciences, National Research University Higher School of Economics, Moscow, Russia.Valentin VoytenkovValentin Voytenkov, Faculty of Economic Sciences, National Research University Higher School of Economics, Moscow, Russia.
【摘要】油气行业占俄罗斯出口的50%,这给俄罗斯经济带来了较高的大宗商品价格波动风险。先前的文献强调出口多样化在发展和对冲外部冲击中的作用。本文运用矩量分位数回归方法对影响区域出口多样化的因素进行了研究。我们使用Theil和Herfindahl指数设计了两种出口多样化措施。我们的实证结果表明,创新促进了工业地区的出口多元化,而中小企业在工业和非资源地区的出口多元化。自然资源开采使区域出口集中。我们为考虑区域经济专业化的俄罗斯区域决策者提供政策启示。关键词:出口多元化;自然资源;俄罗斯地区;中小企业;ei指数;分类:F14R11致谢本研究得到了俄罗斯科学基金(No: 19-18-00262)的资助。补充材料本文的补充数据可在https://doi.org/10.1080/00128775.2023.2265919Notes1上在线获取。根据“关于俄罗斯联邦中小企业发展”的法律,获得中小企业地位需要满足以下要求。年平均雇用人数:小型企业为16 ~ 100人,中型企业为101 ~ 250人。对年收入有限制:小企业为8亿卢布,中型企业为20亿卢布(经合组织图书馆引文2020)。《对外经济活动商品命名法》(TN - VED)分类是基于4位的商品项目,与国际协调商品名称及编码制度的类似项目相同。基于数据可用性。本研究得到了俄罗斯科学基金会[19-18-00262]的支持。罗格涅达·瓦西里耶娃,经济系高级讲师;俄罗斯叶卡捷琳堡乌拉尔联邦大学区域与国际经济实验室初级研究员。Alina Urazbaeva,法国马赛Kedge商学院;俄罗斯莫斯科国立研究型大学高等经济学院经济科学学院。Valentin Voytenkov,俄罗斯莫斯科国立研究型大学高等经济学院经济科学学院。
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引用次数: 0
An Investigation of Income and Wage Inequality in Turkey Using Burgernomics 用汉堡经济学研究土耳其的收入和工资不平等
4区 经济学 Q3 ECONOMICS Pub Date : 2023-10-06 DOI: 10.1080/00128775.2023.2253216
Mahmut Zeki Akarsu, Orkideh Gharehgozli, Vidya Atal
ABSTRACTThis study delves into the multifaceted issue of inequality in Turkey, analyzing overall and regional disparities as well as wage and gender inequalities in the labor market. Through the lens of the Big Mac Index, we investigate purchasing power and discover a decrease in regional inequality between 2002 and 2020. However, our research findings indicate a widening income gap between capital owners or the working rich and workers, particularly evident after 2015. Moreover, the wage gap between male and female white-collar workers has widened since the 2018 currency crisis, while the gap between male and female blue-collar workers has shown improvement.KEYWORDS: Big Mac IndexBurgernomicsInequalityTurkeyJEL CLASSIFICATION: D31J71 Disclosure statementNo potential conflict of interest was reported by the authors.Notes1. Organisation for Economic Co-operation and Development.2. https://www.economist.com/big-mac-index3. As of 2021, Turkey has 81 cities. Each city has its own capital and its own governors, who are appointed by the elected government. Cities in Turkey are established by the central government through legislation, which involves conducting research, consulting with local officials, and submitting a proposal to parliament for approval, after which a governor is appointed to oversee administration and services.4. https://data.tuik.gov.tr/Bulten/Index?p=Gelir-ve-Yasam-Kosullari-Arastirmasi-2021–455815. https://data.tuik.gov.tr/Bulten/Index?p=Income-and-Living-Conditions-Survey-2020–37404&dil=26. Akarsu (Citation2022) modified the Gini index, we have used that version of the Gini index.7. In this study, every figure is our own plot and calculation except for Figure A1 in the Appendix.8. Due to data limitations, we cannot gauge inequality within Turkish cities.9. We use the terms “capitalists” and “the working rich,” introduced in Piketty’s (Citation2015) book, which analyzes income inequality and wealth distribution. Marx (Citation1875) had previously used the term “capitalist” to describe the owners of capital and means of production. In addition, the term “the working rich” has been employed by various scholars, including Piketty (Citation2015) and Godechot (Citation2016), to refer to individuals who have high incomes from work rather than investment or inheritance. These terms have become part of the discourse on income inequality and are now widely used in academic research and public discussions on the subject.Additional informationNotes on contributorsMahmut Zeki AkarsuMahmut Zeki Akarsu is a Ph.D. candidate in economics at the University of Warsaw. His research interests encompass macroeconomics and development economics. His current focus is on wage and income inequality, both in the United States and in middle-income countries, as well as on issues such as historical inequality, gender inequality, the Big Mac Affordability Index, the political economy, and the Turkish economy.Orkideh GharehgozliOrkideh Gharehgozli is an assist
摘要本研究深入探讨了土耳其多方面的不平等问题,分析了劳动力市场的整体和区域差异以及工资和性别不平等。通过巨无霸指数的视角,我们调查了购买力,并发现2002年至2020年间地区不平等的减少。然而,我们的研究结果表明,资本所有者或在职富人与工人之间的收入差距正在扩大,这在2015年之后尤为明显。此外,自2018年货币危机以来,男女白领之间的工资差距有所扩大,而男女蓝领之间的工资差距有所改善。关键词:巨无霸指数汉堡包分类:D31J71披露声明作者未报告潜在的利益冲突。经济合作与发展组织https://www.economist.com/big-mac-index3。截至2021年,土耳其有81个城市。每个城市都有自己的首都和自己的州长,他们由民选政府任命。土耳其的城市是由中央政府通过立法建立的,其中包括进行研究,与当地官员协商,并向议会提交提案以获得批准,之后任命一名州长来监督行政和服务。https://data.tuik.gov.tr/bulten/index?p=gelir - ve - yasam kosullari arastirmasi - 2021 - 455815。https://data.tuik.gov.tr/bulten/index?p=income -和-生活-条件-调查- 2020 - 37404 - &dil=26。Akarsu (Citation2022)修改了基尼系数,我们使用了该版本的基尼系数。在本研究中,除附录8中的图A1外,其余图均为我们自己的绘图和计算。由于数据限制,我们无法衡量土耳其城市内部的不平等程度。我们使用的术语是“资本家”和“工薪阶层”,这是皮凯蒂(Citation2015)在分析收入不平等和财富分配的书中引入的。马克思(Citation1875)以前曾使用“资本家”一词来描述资本和生产资料的所有者。此外,包括Piketty (Citation2015)和Godechot (Citation2016)在内的许多学者都使用了“working rich”一词来指代那些通过工作而非投资或继承获得高收入的个人。这些术语已经成为关于收入不平等的讨论的一部分,现在在学术研究和公众讨论中广泛使用。本文作者mahmut Zeki Akarsu是华沙大学经济学博士候选人。主要研究方向为宏观经济学和发展经济学。他目前的研究重点是美国和中等收入国家的工资和收入不平等,以及历史不平等、性别不平等、巨无霸负担能力指数、政治经济和土耳其经济等问题。本文作者是蒙特克莱尔州立大学经济学助理教授。她的研究兴趣包括应用计量经济学、统计学、收入不平等和劳动经济学。她在纽约城市大学获得博士学位。Vidya Atal是蒙特克莱尔州立大学的经济学教授。她的研究兴趣包括研究产业组织的各种主题,例如,美国的专利政策,开源软件许可,公司在专利竞赛中的策略或研究他们在研发中的投资决策。此外,她发现《发展经济学》中的几个话题非常有趣,如妇女赋权、家庭内部讨价还价、性别差距等。她拥有康奈尔大学经济学硕士和博士学位。
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Eastern European Economics
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