本文選題：城市居民 + 體育消費(fèi)��； 參考：《上海體育學(xué)院學(xué)報(bào)》2017年03期

【摘要】：采用問卷調(diào)查法、數(shù)理統(tǒng)計(jì)法等,對(duì)北京市3 304名戶籍居民進(jìn)行整群分層隨機(jī)入戶調(diào)查。調(diào)查內(nèi)容包括體育培訓(xùn)、體育信息、體育賽事、體育健身、體育器材設(shè)備、運(yùn)動(dòng)服裝鞋帽等費(fèi)用;使用一般線性回歸模型(OLS)、分位數(shù)回歸模型(QR)分析不同特征居民的體育消費(fèi)水平現(xiàn)狀及差異。結(jié)果顯示:性別、婚姻、年齡、收入、地域、工作類型對(duì)體育消費(fèi)有影響,在體育消費(fèi)30%、40%、50%、60%、70%、80%、90%分位數(shù)有顯著性差異。提示,相比一般線性回歸,分位數(shù)回歸能更精準(zhǔn)地反映不同自變量的不同分布對(duì)因變量的影響。
[Abstract]:By means of questionnaire survey and mathematical statistics, a cluster stratified random household survey was conducted among 3 304 residents of Beijing. The contents of the investigation include sports training, sports information, sports events, sports fitness, sports equipment, sports clothing, shoes and hats, etc. General linear regression model and quantile regression model were used to analyze the present situation and difference of sports consumption level of residents with different characteristics. The results showed that sex, marriage, age, income, region and type of work had influence on sports consumption. It is suggested that the quantile regression can more accurately reflect the influence of different independent variables on the dependent variables than the general linear regression.
【作者單位】： 首都體育學(xué)院休閑與社會(huì)體育學(xué)院;福建師范大學(xué)體育科學(xué)學(xué)院;首都體育學(xué)院研究生部;首都體育學(xué)院學(xué)院辦公室;中央財(cái)經(jīng)大學(xué)外國(guó)語學(xué)院;
【基金】：北京市高�？萍紕�(chuàng)新服務(wù)能力建設(shè)提升項(xiàng)目(PXM2016-014206-000021) 北京市體育局重點(diǎn)委托項(xiàng)目
【分類號(hào)】：G80-05
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本文編號(hào)：1907454