During the ongoing Covid-19 pandemic, understanding the spatiotemporal patterns of the virus is crucial for policymakers to intervene promptly. The relevance of spatial proximity in the spread of the pandemic necessitates adequate tools, and noisy data must be properly treated. This study proposes obtaining clusters of European regions using smoothed curves of daily deaths from March 2020-March 2022. A functional representation of the curves w
{"title":"Analysing spatiotemporal patterns of Covid-19 confirmed deaths at the NUTS-2 regional level","authors":"Andrea Bucci, L. Ippoliti, P. Valentini","doi":"10.15196/rs130202","DOIUrl":"https://doi.org/10.15196/rs130202","url":null,"abstract":"During the ongoing Covid-19 pandemic, understanding the spatiotemporal patterns of the virus is crucial for policymakers to intervene promptly. The relevance of spatial proximity in the spread of the pandemic necessitates adequate tools, and noisy data must be properly treated. This study proposes obtaining clusters of European regions using smoothed curves of daily deaths from March 2020-March 2022. A functional representation of the curves w<s implemented to extract the features used in a clustering algorithm that allows spatial proximity. In a spatial regression model, the authors also investigated the role of clusters and pre-existing conditions on cumulative deaths, and observed that air pollution, health conditions, and population age structure are significantly associated with Covid-19 confirmed deaths.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66867608","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}
{"title":"Effects of weather on the health of individuals: Comparative evidence from Cambodia, Laos, and Vietnam","authors":"C. Nguyen","doi":"10.15196/rs130204","DOIUrl":"https://doi.org/10.15196/rs130204","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66867670","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}
Nguyen Van Thanh, Dung Thuy Thi Nguyen, P. Vu, H. Luu, Hoa Hanh Hoang
{"title":"The impact of polarisation on Covid-19 outcomes, 2020","authors":"Nguyen Van Thanh, Dung Thuy Thi Nguyen, P. Vu, H. Luu, Hoa Hanh Hoang","doi":"10.15196/rs130302","DOIUrl":"https://doi.org/10.15196/rs130302","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868466","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}
Betsabé Pérez Garrido, V. Semenova, Szabolcs Szilárd Sebrek
{"title":"Exploring the profile of innovative enterprises in high-tech manufacturing sectors: The case of the regions of Madrid and Catalonia in 2016","authors":"Betsabé Pérez Garrido, V. Semenova, Szabolcs Szilárd Sebrek","doi":"10.15196/rs130106","DOIUrl":"https://doi.org/10.15196/rs130106","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868027","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}
This study present an operational characterization of contemporaneity among variables based on the transformation of their corresponding time series into symbolic ones by applying either a Markov switching approach or the symbolic aggregate approximation method. Then, the authors extract vectors from the resulting symbolic time series, characterizing the pattern o f change or permanence in time. The scalar product between the vectors corresponding to two variables yields the index of contemporaneity between them. The study apply this method to detect a ranking of synchronic patterns of evolution of gross domestic product (GDP) and investment between several South American economies.
{"title":"Designing a contemporaneity index: Detecting regional similarities in South America, 1961-2018","authors":"Fernando Delbianco, Andrés Fioriti, F. Tohmé","doi":"10.15196/rs130403","DOIUrl":"https://doi.org/10.15196/rs130403","url":null,"abstract":"This study present an operational characterization of contemporaneity among variables based on the transformation of their corresponding time series into symbolic ones by applying either a Markov switching approach or the symbolic aggregate approximation method. Then, the authors extract vectors from the resulting symbolic time series, characterizing the pattern o f change or permanence in time. The scalar product between the vectors corresponding to two variables yields the index of contemporaneity between them. The study apply this method to detect a ranking of synchronic patterns of evolution of gross domestic product (GDP) and investment between several South American economies.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868151","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}
{"title":"Towards sustainable development goal 3: The case of the Balkan countries","authors":"Nuray Tezcan","doi":"10.15196/rs130208","DOIUrl":"https://doi.org/10.15196/rs130208","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868441","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}
{"title":"Spatiotemporal inequalities of excess mortality in Europe during the first two years of the Covid-19 pandemic","authors":"András Igari","doi":"10.15196/rs130306","DOIUrl":"https://doi.org/10.15196/rs130306","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66868541","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}
{"title":"A composite indicator to evaluate EU membership: The case of Central and Eastern European member states, 2004-2021","authors":"Viktória Endrődi-Kovács, Oleg Tankovsky","doi":"10.15196/rs130505","DOIUrl":"https://doi.org/10.15196/rs130505","url":null,"abstract":"","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135210989","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}
With several commodity and financial markets allegedly performing poorly during the coronavirus disease (Covid-19) pandemic, the objective of this study is to examine how the pandemic has affected stock markets in the G7 economies. The study applies the recently developed cross-quantilogram model introduced by Han et al. (2016) to investigate quantile dependence between the conditional stock return distributions of G7 countries and the total daily global confirmed Covid-19 cases across investment horizons. The results reveal that the cross-quantile dependence between the confirmed Covid-19 cases and G7 stock returns is most significant in the short and medium term. The interlinkage weakens as the lag period lengthens. These findings imply that, in the short and medium term, stock markets in the G7 countries reacted negatively and disproportionately to the increase in the number of daily verified Covid-19 cases. Besides, cross-quantile correlations calculated from recursive subsamples indicate that they change over time, especially in low and medium quantiles, suggesting that they are prone to jumps and discontinuities in the dependence structures. The findings can aid investors and policymakers in better understanding stock market dynamics, particularly during times of great stress and unknown events.
{"title":"What effects will Covid-19 have on the G7 stock markets? New evidence from a cross-quantilogram approach","authors":"N. Hung","doi":"10.15196/RS130203","DOIUrl":"https://doi.org/10.15196/RS130203","url":null,"abstract":"With several commodity and financial markets allegedly performing poorly during the coronavirus disease (Covid-19) pandemic, the objective of this study is to examine how the pandemic has affected stock markets in the G7 economies. The study applies the recently developed cross-quantilogram model introduced by Han et al. (2016) to investigate quantile dependence between the conditional stock return distributions of G7 countries and the total daily global confirmed Covid-19 cases across investment horizons. The results reveal that the cross-quantile dependence between the confirmed Covid-19 cases and G7 stock returns is most significant in the short and medium term. The interlinkage weakens as the lag period lengthens. These findings imply that, in the short and medium term, stock markets in the G7 countries reacted negatively and disproportionately to the increase in the number of daily verified Covid-19 cases. Besides, cross-quantile correlations calculated from recursive subsamples indicate that they change over time, especially in low and medium quantiles, suggesting that they are prone to jumps and discontinuities in the dependence structures. The findings can aid investors and policymakers in better understanding stock market dynamics, particularly during times of great stress and unknown events.","PeriodicalId":44388,"journal":{"name":"Regional Statistics","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66867623","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}
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