Asta-Advances in Statistical Analysis最新文献_第3页

Robust corrected empirical likelihood for partially linear measurement error models 部分线性测量误差模型的鲁棒修正经验似然

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2025-01-24 DOI: 10.1007/s10182-024-00518-x

Huihui Sun, Qiang Liu, Yuying Jiang

引用次数: 0

On random coefficient INAR processes with long memory 长记忆随机系数流过程研究

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2025-01-24 DOI: 10.1007/s10182-025-00523-8

Jan Beran, Frieder Droullier

引用次数: 0

Fuzzy group fixed-effects estimation with spatial clustering 空间聚类模糊群固定效应估计

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2025-01-03 DOI: 10.1007/s10182-024-00522-1

Roy Cerqueti, Pierpaolo D’Urso, Raffaele Mattera

{"title":"Fuzzy group fixed-effects estimation with spatial clustering","authors":"Roy Cerqueti, Pierpaolo D’Urso, Raffaele Mattera","doi":"10.1007/s10182-024-00522-1","DOIUrl":"10.1007/s10182-024-00522-1","url":null,"abstract":"<div><p>The paper discusses the problem of estimating group heterogeneous fixed-effect panel data models under the assumption of fuzzy clustering, that is each unit belongs to all the clusters with a membership degree. To enhance spatial clustering, a spatio-temporal approach is considered. An iterative procedure, alternating panel data estimation and spatio-temporal clustering of the residuals, is proposed. The proposed method can be of relevance to researchers interested in using fuzzy group fixed-effect methods, but want to leverage spatial dimension for clustering units. Two empirical examples, the first on cigarette consumption in the US states and the second on non-life insurance demand in Italy, are presented to illustrate the performance of the proposed approach. The spatial fuzzy GFE model reveals important regional differences in both the US cigarette consumption and non-life insurance determinants in Italy. In the case of the US, we found a distinction in two main clusters, East and West. For the Italy provinces data, we find a distinction in North and South clusters. Regarding the regression results, for cigarette consumption data, different from the previous studies, we find that the smuggling effect is significant only in east regions, thus suggesting localised impacts of bootlegging. In the context of Italian non-life insurance demand, we find that while population density explains insurance consumption in northern provinces, the trust issues in the south explain the lower insurance demand.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":"109 4","pages":"721 - 752"},"PeriodicalIF":1.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level 探索罗马尼亚COVID-19疫苗接种的空间聚类和溢出效应：一项市政一级的分析

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-12-30 DOI: 10.1007/s10182-024-00520-3

Codruta Mare, Stefana Belbe, Norbert Petrovici

{"title":"Exploring the spatial clustering and spillover effects of COVID-19 vaccination uptake in Romania: an analysis at municipality level","authors":"Codruta Mare, Stefana Belbe, Norbert Petrovici","doi":"10.1007/s10182-024-00520-3","DOIUrl":"10.1007/s10182-024-00520-3","url":null,"abstract":"<div><p>This study investigates the spatial clustering and spillover effects of COVID-19 vaccine uptake in Romania, focusing on the municipality-level distribution of vaccine acceptance and hesitancy while considering the factors that influence it. The research uses the Spatial Durbin Error Model (SDEM) and identifies spatial clusterization, as well as significant contagion and diffusion processes in the vaccination behaviour conditioned by socioeconomic factors, labour market characteristics, social and religious attitudes, urban, and health indicators. We find evidence in favour of spatial spillover effects of the poverty rate, opposition to same-sex marriage, COVID-19 infection rate, peri-urban towns, and denser cities. Our findings contribute to the literature of the spatial distribution and determinants of vaccine uptake and carry practical implications for policy makers offering evidence-based insights that can inform targeted strategies and interventions to enhance vaccine acceptance and address hesitancy in specific locations.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":"109 4","pages":"667 - 688"},"PeriodicalIF":1.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-024-00520-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated modified harmonic mean method for spatial panel data models 空间面板数据模型的综合修正调和平均法

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-12-28 DOI: 10.1007/s10182-024-00521-2

Osman Doğan, Ye Yang, Süleyman Taşpınar

引用次数: 0

Beyond catastrophic payments: modeling household health expenditure shares with endogenous selection 超越灾难性支付：基于内生选择的家庭医疗支出分担模型

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-12-21 DOI: 10.1007/s10182-024-00519-w

Antonello Maruotti, Pierfrancesco Alaimo Di Loro, Cathleen Johnson

引用次数: 0

A novel bootstrap goodness-of-fit test for normal linear regression models 一种新的正态线性回归模型的自举拟合优度检验

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-11-14 DOI: 10.1007/s10182-024-00517-y

Scott H. Koeneman, Joseph E. Cavanaugh

引用次数: 0

Nowcasting GDP using machine learning methods 使用机器学习方法预测GDP

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-11-13 DOI: 10.1007/s10182-024-00515-0

Dennis Kant, Andreas Pick, Jasper de Winter

引用次数: 0

Change point detection in high dimensional covariance matrix using Pillai’s statistics 基于Pillai统计量的高维协方差矩阵变点检测

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-11-09 DOI: 10.1007/s10182-024-00516-z

Seonghun Cho, Minsup Shin, Young Hyun Cho, Johan Lim

{"title":"Change point detection in high dimensional covariance matrix using Pillai’s statistics","authors":"Seonghun Cho, Minsup Shin, Young Hyun Cho, Johan Lim","doi":"10.1007/s10182-024-00516-z","DOIUrl":"10.1007/s10182-024-00516-z","url":null,"abstract":"<div><p>This research proposes a method to test and estimate change points in the covariance structure of high-dimensional multivariate series data. Our method uses the trace of the beta matrix, known as Pillai’s statistics, to test the change in covariance matrix at each time point. We study the asymptotic normality of Pillai’s statistics for testing the equality of two covariance matrices when both sample size and dimension increase at the same rate. We test the existence of a single change point in a given time period using Cauchy combination test, the test using an weighted sum of Cauchy transformed <i>p</i>-values, and estimate the change point as the point whose statistic is the greatest. To test and estimate multiple change points, we use the idea of the wild binary segmentation and repeatedly apply the procedure for a single change point to each segmented period until no significant change point exists. We numerically provide the size and power of our method. We finally apply our procedure to finding abnormal behavior in the investment of a private equity fund.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":"109 1","pages":"53 - 84"},"PeriodicalIF":1.4,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10182-024-00516-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the equivalence of two mixture models for rating data 分级数据两种混合模型的等价性

IF 1.4 4区数学

Asta-Advances in Statistical Analysis Pub Date : 2024-10-28 DOI: 10.1007/s10182-024-00513-2

Matteo Ventura, Ambra Macis, Marica Manisera, Paola Zuccolotto

{"title":"On the equivalence of two mixture models for rating data","authors":"Matteo Ventura, Ambra Macis, Marica Manisera, Paola Zuccolotto","doi":"10.1007/s10182-024-00513-2","DOIUrl":"10.1007/s10182-024-00513-2","url":null,"abstract":"<div><p>Questionnaires are useful tool for exploring respondents’ perceptions through ratings, assumed to result from a latent decision process (DP). The DP varies when respondents rate on Likert or Semantic Differential scales. A possible paradigm to formalize the DP is based on the presence of a feeling and an uncertainty latent component, originally proposed as the foundations of the CUB (Combination of Uniform and shifted Binomial) class. It can be assumed that with Likert scales, respondents begin reasoning from the bottom, progressing upwards based on their sensations. Conversely, Semantic Differential scale users are assumed to start from the middle and move either upward or downward. The CUM (Combination of Uniform and Multinomial), a new model in the CUB class, derived from this DP, analyzes rating data on a Semantic Differential scale. This paper defines the concept of local and global unidirectional equivalence and studies, from an analytical point of view, the conditions under which CUB and CUM models generate identical theoretical probabilities, in order to enhance the interpretative understanding of the models.</p></div>","PeriodicalId":55446,"journal":{"name":"Asta-Advances in Statistical Analysis","volume":"109 2","pages":"387 - 411"},"PeriodicalIF":1.4,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0