Basic terminology and basic elements of time series

Basic terminology and basic elements of time series

ID:40357077

大小:264.67 KB

页数:9页

时间:2019-07-31

Basic terminology and basic elements of time series_第1页
Basic terminology and basic elements of time series_第2页
Basic terminology and basic elements of time series_第3页
Basic terminology and basic elements of time series_第4页
Basic terminology and basic elements of time series_第5页
资源描述:

《Basic terminology and basic elements of time series》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、ECON5103/ECON9103ADVANCEDECONOMETRICS{PANELDATALecturenoteno.4ErikBi¿rn,DepartmentofEconomicsVersionofDecember28,2009BasicterminologyandbasicelementsintimeseriesanalysisApreparationfordynamicmodelingwithpaneldataThislecturenoteisrelatedtothelecturesondynamicpaneldatamodels.Thoseofyou

2、whohaveagoodgraspofbasicelementsofeconometrictime-seriesanalysis(notnecessarilyrelatedtopaneldata)willnotneedit.Thosewho(thinkthey)donotpossessthisknowledge,may¯nditusefulasapreparationtothediscussionofdynamicmodelsforpaneldatainthecourse.Rememberthatpaneldatacoverthetimedimension,he

3、nceelementsiftime-seriesanalysisareimportantingredi-ents.Autoregressivemodelsforpaneldatahavereceivedsubstantialinterestintheliteratureformorethanthirtyyears.A.BASICTERMINOLOGYConsideratimeseriesofavariableX:fXg=f¢¢¢X¡1;X0;X1;¢¢¢;XT;¢¢¢g;whereXtisitsvalueinperiodt.IftheXt'sarestochas

4、ticvariables,wecallfXgastochastic(random)process.A(modelofa)univariatestochasticprocessinvolvesonlyonevariable.A(modelofa)multivariatestochasticprocessinvolvesmorethanonevariable.B.BASIC(MODELSOF)UNIVARIATESTOCHASTICPROCESSES1Whitenoiseprocess:f"gT»w.n.:tt=1½¾2;t=sE(")=0;E("")="tts0;

5、t6=sAlternatively(andsomewhatstronger),2"t»IID(0;¾");whereIIDsigni¯esidentically,independentlydistributed.Stillstronger,2"t»IIN(0;¾");whereIINsigni¯esnormally,independentlydistributed.Randomwalkprocess:futg»r.w.:ut=ut¡1+"t;where"t(=¢ut)»w:n:Hence:Xtfutg»r:w:=)f¢utg»w:n:=)ut=u0+"s:s=1

6、Autoregressiveprocessoforder1:futg»AR(1):ut=½ut¡1+"t;where"t»w:n:Autoregressiveprocessoforderp:futg»AR(p):ut=½1ut¡1+½2ut¡2+¢¢¢+½put¡p+"t;where"t»w:n:Movingaverageprocessoforder1:futg»MA(1):ut="t+µ"t¡1;where"t»w:n:Movingaverageprocessoforderq:futg»MA(q):ut="t+µ1"t¡1+¢¢¢+µq"t¡q;where"t

7、»w:n:ImportantabbreviationsAR=Auto-RegressiveMA=MovingAverage2ARMA=Auto-Regressive/MovingAverageARMA(1;1)process:futg»ARMA(1;1):ut=½ut+"t+µ"t¡1;where"t»w:n:ARMA(p;q)process:futg»ARMA(p;q):ut=½1ut¡1+½2ut¡2+¢¢¢+½put¡p+"t+µ1"t¡1+¢¢¢+µq"t¡q;where"t»w:n:Specialcases:1.AR(p)=ARMA(p;0),2.MA

8、(q)=ARMA(0;q

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。