留学生英语论文开题报告，金融计量专业，有些难，求帮忙！

来源：蜘蛛抓取(WebSpider) 时间：2014-11-15 02:08 标签： 英语论文提纲
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留学生经费周转难 金融工具来帮忙
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&&& 对于不少留学生家长来说，如何及时将钱汇给在国外读书的孩子非常重要。各大银行也为此推出了多种金融工具来帮助家长。
&&& 各家银行都紧跟节点，开始启动今年出国留学宣传，推出各自具有出国留学特色的信用卡服务，通过一张信用卡将与出国有关的服务都纳入进去，让有出国需求的家庭省了不少心思。
&&& 目前中国学生自费留学普遍低龄化，在国外缺乏信用记录及财力证明的他们很难申请到留学当地银行的信用卡，但中国银行、民生银行、光大银行等银行都有针对留学生的主副信用卡。
&&& 信用卡可由家长申请主卡，留学生本人申请附属卡，境外消费、境内由家长还款。子女的每笔海外交易家长都可收到手机短信通知，随时掌握子女的花销情况。不过理财师建议，出国的留学生最好不要用信用卡取现，因为每取一笔要收取1%的手续费，而且还要承担透支的利息，这个利息比商业贷款利率还要高。
&&& 理财师指出，提前办理国际信用卡非常重要，因为银行审查国际信用卡的时间都较长，一般单币卡需三周，而双币卡则需一个半月。国际信用卡尽量在与清算币种相符地使用，避免两次换汇的额外费用。
&&& 对于大额支出，比如学费，信用卡的额度可能不能满足留学生的需求。据银行工作人员介绍，现在出国除可随身携带部分现金出境外，还可以用汇票、电汇和旅行支票等方式来支付学费及生活费。
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金融计量学论文
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内容提示：金融计量学论文,金融计量学,中国知网,金融计量学课程论文,金融计量学论文题目,化学计量学,文献计量学,计量学,科学计量学,经济计量学
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下载文档:金融计量学论文.DOC英国伦敦大学留学生计量经济学论文定制：Adva
Advanced Undergraduate Econometrics
by Stacey Chen
4 October 2010
Royal Holloway University of London
hhlink|http://personal.rhul.ac.uk/utte/278/econometrics.html|i
This is lecture notes for my students of EC3400. Other students who have taken statisticsand introduction to econometrics may benefit from this notes too. In 18 lectures, I start withreview of statistics and probability theory. I cover topics including large-sample propertiesand hypothesis testing of Ordinary Least Squares (OLS), binary choice models, omittedvariable bias, instrumental variable (IV) methods, difference in difference models, matchingmethods, regression discontinuity, and panel regression models. Recommended Texts:The latest editions of Stock and Watson&s (SW) Introduction to Econometrics and Angristand Pischeke&s (AP) Mostly Harmless Econometrics.
1 Review of statistics and probability theory
1.1 Primary Goals of Empirical Studies
1.1.1 Causal effects and idealised experiments
Policy evaluation and inferences on human behaviours (or even climate changes, for example)require data analysts to comment on causal impact of treatment on outcome variables. Ideally,
we would like to need implement a randomised controlled experiment to ensure a valid causalinterpretation for the observed comparison between treated and untreated outcomes. But idealrandomised controlled experiments are often feasible or too costly. We often need to rely onobservational data to make statistical inferences.
1.1.2 Data
While experiment data comes from experiments designed to evaluate a treatment/policy, whileobservational data is derived from observing actual behaviour outside of experimental setting.It&s often collected by surveys or derived from administrative records.Cross-sectional data are data on different entities (e.g., workers, firms, and countries) fora single time period. For example, a national annual chttp://www.ukthesis.org/_writing/Ecommerce/ensus. Time-series data are data from asingle entity (one person, firm or country) collected at multiple time periods. For example, dailystock price of a given firm during a year. Panel or longitudinal data are data on multiple entitieswhere each entity is observed for multiple times. For example, a campus survey that trace a givenset of students for several years.
1.2 Review of probability
Potential outcomes are a result of random events or experiments, to which we can assigna numeric value. The
is one-to- only one value of the potential outcomes can bepossibly observed because history only happens once and because we only live one and only life ata time.
For example, raining or not and attending university or not are binary potential outcomes (1or 0). Formally, we can assign value 1 if it rains for a given day, and 0 otherwise. Thus, for eachday the outcome Y has two potential values: Y =1 Y =0 if it doesn&t.(责任编辑：BUG)
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