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Measuring tax administrations efficiency using data envelopment analysis: evidence from 26 European countries 用数据包络分析衡量税务管理效率:来自26个欧洲国家的证据
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10045264
E. Kalamara, Kalligosfyris Charalampos, A. Anastasiou
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引用次数: 0
Quantile regression-based seasonal adjustment 基于分位数回归的季节调整
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10045739
Mohammed Elseidi, M. Caporin
{"title":"Quantile regression-based seasonal adjustment","authors":"Mohammed Elseidi, M. Caporin","doi":"10.1504/ijcee.2022.10045739","DOIUrl":"https://doi.org/10.1504/ijcee.2022.10045739","url":null,"abstract":"","PeriodicalId":42342,"journal":{"name":"International Journal of Computational Economics and Econometrics","volume":"1 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66720011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
COVID-19 pandemic and the economy: sentiment analysis on Twitter data COVID-19大流行与经济:对推特数据的情绪分析
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10046488
Shira Fano, Gianluca Toschi
In the last decade, social networks have increasingly been used in social sciences to monitor consumer preferences and citizens' opinion formation, as they are able to produce a massive amount of data. In this paper, we aim to collect and analyse data from Twitter posts identifying emerging patterns related to the COVID-19 outbreak and to evaluate the economic sentiment of users during the pandemic. Using the Twitter API, we collected tweets containing the term coronavirus and at least a keyword related to the economy selected from a pre-determined batch, obtaining a database of approximately two million tweets. We show that our Economic Twitter Index (ETI) is able to nowcast the current state of economic sentiment, exhibiting peaks and drops related to real-world events. Finally, we test our index and it shows a positive correlation to standard economic indicators.
在过去的十年里,社交网络越来越多地用于社会科学,以监测消费者的偏好和公民的意见形成,因为它们能够产生大量的数据。在本文中,我们旨在收集和分析Twitter帖子中的数据,确定与COVID-19爆发相关的新模式,并评估大流行期间用户的经济情绪。使用Twitter API,我们收集了包含冠状病毒一词和至少一个与经济相关的关键字的推文,从预先确定的批中选择,获得了一个大约200万条推文的数据库。我们表明,我们的经济推特指数(ETI)能够预测当前的经济情绪状态,显示与现实世界事件相关的峰值和下降。最后,我们对我们的指数进行了测试,发现它与标准经济指标呈正相关。
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引用次数: 0
Investigating the monetary and fiscal policy regimes dominance for inflation determination in Nigeria: a Bayesian TVP-VAR analysis 调查货币和财政政策制度对尼日利亚通货膨胀决定的主导作用:贝叶斯tpv - var分析
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10047390
Olusola Joel Oyeleke, Adeyemi A. Ogundipe, Lukman. O. Oyelami
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引用次数: 3
Stackelberg secure modelling game scheme for price-power control in cognitive radio enabled agriculture system 认知无线电农业系统中价权控制的Stackelberg安全建模博弈方案
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10047394
M. Alam, Khyati Chopra
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引用次数: 0
Perspective of an exchange rate policy for global financial systems: evidence between China and ASEAN countries 全球金融体系的汇率政策视角:中国与东盟国家之间的证据
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.120510
C. Chaiboonsri, S. Wannapan, Nisit Pantamit
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引用次数: 0
Searching for the peak: Google Trends and the first COVID-19 wave in Italy 搜索峰值:谷歌趋势和意大利的第一波COVID-19浪潮
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10047365
L. Serlenga, Giuliano Resce, P. Brunori
One of the difficulties faced by policymakers during the COVID-19 outbreak in Italy was the monitoring of the virus diffusion. Due to changes in the criteria and insufficient resources to test all suspected cases, the number of 'confirmed infected' rapidly proved to be unreliably reported by official statistics. We explore the possibility of using information obtained from Google Trends to predict the evolution of the epidemic. Following the most recent developments on the statistical analysis of longitudinal data, we estimate a dynamic heterogeneous panel. This approach allows to takes into account the presence of common shocks and unobserved components in the error term both likely to occur in this context. We find that Google queries contain useful information to predict number patients admitted to the intensive care units, number of deaths and excess mortality in Italian regions.
在意大利COVID-19疫情期间,政策制定者面临的困难之一是监测病毒扩散。由于标准的变化和检测所有疑似病例的资源不足,官方统计报告的“确诊感染”人数很快被证明是不可靠的。我们探讨了利用从谷歌Trends获得的信息来预测该流行病演变的可能性。根据纵向数据统计分析的最新发展,我们估计了一个动态异质性面板。这种方法可以考虑到在这种情况下可能发生的共同冲击和误差项中未观察到的成分的存在。我们发现谷歌查询包含有用的信息,可以预测意大利地区入住重症监护病房的患者人数、死亡人数和超额死亡率。
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引用次数: 0
Price stickiness and wage stickiness in generalised new Keynesian model 广义新凯恩斯模型中的价格粘性和工资粘性
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10050457
Rui Wang
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引用次数: 0
an empirical analysis of herding behavior : evidence from developed and frontier financial markets 羊群行为的实证分析:来自发达和前沿金融市场的证据
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10051460
Ouael El Jebari, Abdelati Hakmaoui
{"title":"an empirical analysis of herding behavior : evidence from developed and frontier financial markets","authors":"Ouael El Jebari, Abdelati Hakmaoui","doi":"10.1504/ijcee.2022.10051460","DOIUrl":"https://doi.org/10.1504/ijcee.2022.10051460","url":null,"abstract":"","PeriodicalId":42342,"journal":{"name":"International Journal of Computational Economics and Econometrics","volume":"52 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66720423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simulating the effect of El Niño Southern Oscillation on the worldwide wheat prices 模拟El Niño南方涛动对全球小麦价格的影响
IF 0.1 Q4 ECONOMICS Pub Date : 2022-01-01 DOI: 10.1504/ijcee.2022.10044406
M. Pasqui, Gianfranco Giulioni, E. Di Giuseppe
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引用次数: 0
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International Journal of Computational Economics and Econometrics
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