Advances in Decision Sciences最新文献_第8页

Review on Behavioral Finance with Empirical Evidence 行为金融学的实证研究述评

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i3p92-118

引用次数: 6

Inflation and Economic Growth in Kenya: An Empirical Examination 通货膨胀与肯尼亚经济增长:一个实证检验

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i3p1-25

引用次数: 16

Tail Behaviour of the Nifty-50 Stocks during Crises Periods 50只股票在危机期间的尾部行为

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i4p115-151

G. Srilakshminarayana

引用次数: 0

Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations 从测试和州人口预测美国的COVID-19病例和死亡

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/V25Y2021I2P1-27

D. Allena, M. McAleer

引用次数: 2

Existence of Cointegration between the Public and Private Bank Index: Evidence from Indian Capital Market 公私银行指数协整的存在性:来自印度资本市场的证据

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i4p152-172

引用次数: 6

A Comparative Assessment of the Global Effects of US Monetary and Fiscal Policy Uncertainty Shocks 美国货币和财政政策不确定性冲击的全球影响比较评估

Advances in Decision Sciences Pub Date : 2021-01-01 DOI: 10.47654/v25y2021i4p89-114

引用次数: 2

Comments on Recent COVID-19 Research in JAMA 《美国医学会杂志》新冠肺炎近期研究述评

Advances in Decision Sciences Pub Date : 2020-09-01 DOI: 10.47654/v24y2020i3p63-83

M. McAleer

引用次数: 1

Measurement Error in a First-order Autoregression 一阶自回归的测量误差

Advances in Decision Sciences Pub Date : 2020-06-01 DOI: 10.47654/v24y2020i2p1-14

P. Franses

引用次数: 1

Analysing Maximum Monthly Temperatures in South Africa for 45 years Using Functional Data Analysis 用功能数据分析法分析南非45年来月最高气温

Advances in Decision Sciences Pub Date : 2020-01-01 DOI: 10.47654/v24y2020i3p1-27

Mapitsi Rangata, Sonali Das, Montaz Ali

{"title":"Analysing Maximum Monthly Temperatures in South Africa for 45 years Using Functional Data Analysis","authors":"Mapitsi Rangata, Sonali Das, Montaz Ali","doi":"10.47654/v24y2020i3p1-27","DOIUrl":"https://doi.org/10.47654/v24y2020i3p1-27","url":null,"abstract":"The paper uses Functional Data Analysis (FDA) to explore space and time variation of monthly maximum temperature data of 16 locations in South Africa for the period 1965 - 2010 at intervals of 5 years. We explore monthly maximum temperature variation by first representing data using the B-spline basis functions. Thereafter registration of the smooth temperature curves was performed. This data was then subjected to analysis using phase-plane plots which revealed the constant shifting of energy over the years analysed. We next applied functional Principal Component Analysis (fPCA) to reduce the dimension of maximum temperature curves by identifying the maximum variation without loss of relevant information, which revealed that the first functional PCA explains mostly summer variation while the second functional PCA explains winter variation. We next explored the functional data using functional clustering using K-means to reveal the spatial location of maximum temperature clusters across the country, which revealed that maximum temperature clusters were not consistent over the 45 years of data analysed, and that the cluster points within a cluster were not necessarily always spatially adjacent. The overall analysis has displayed that maximum temperature clusters have not been static across the country over time. To the best of our knowledge, this the first instance of performing in-depth analysis of maximum temperature data for 16 locations in South Africa using various FDA methods.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"24 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70849521","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: 2

Foreign Tourism in Andalusia: A Dynamic Panel Data Analysis 安达卢西亚的外国旅游:动态面板数据分析

Advances in Decision Sciences Pub Date : 2020-01-01 DOI: 10.47654/v24y2020i3p110-141

AdriÃ¡n Mendieta-AragÃ³n, Teresa GarÃn-MuÃ±oz

{"title":"Foreign Tourism in Andalusia: A Dynamic Panel Data Analysis","authors":"AdriÃ¡n Mendieta-AragÃ³n, Teresa GarÃn-MuÃ±oz","doi":"10.47654/v24y2020i3p110-141","DOIUrl":"https://doi.org/10.47654/v24y2020i3p110-141","url":null,"abstract":"This paper studies the main determinants of the inbound international tourism in Andalusia and quantify its incidence. Based on the classical theoretical framework for tourism demand, we incorporate dynamics into the model by adding the lagged dependent variable as an explanatory variable, along with the per capita income of the tourist's country of origin, the relative prices between the origin and destination countries and the cost of travel. The empirical model is applied to a panel data set consisting of 21 countries of origin of the tourists for the period 2008â€“2018. Data were collected from the Hotel Occupancy Survey (HOS), published by the National Statistics Institute of Spain (INE). The results have been obtained using the GMM DIFF estimator of Arellano and Bond. The parameters estimated reflect a high level of consumer loyalty and the importance of the word-of-mouth effect. Moreover, the income elasticity indicates that the demand for tourism in Andalusia may be considered as a luxury good. Prices have a negative relationship with tourism demand. The cost of travel, which has a negative effect, is statistically significant to explain the number of tourists' arrivals and, however, it is not significant for the overnight stays model.","PeriodicalId":38875,"journal":{"name":"Advances in Decision Sciences","volume":"24 1","pages":"110-141"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70849599","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