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Eviews - First open a new workfile in Eviews'EEVieWS ‘ I...

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Unformatted text preview: First open a new workfile in Eviews 'EEVieWS , _ ‘ I V _ a x a} Edit Object View Proc Quick Options Add-Ins window Help My V) \florkfile... (mm ' i gpen b Qatabase... 9 gave CUPS Erogram 5 Save As“. 1m File 7‘ L" gose Import D El 3, Export > Erini CUP P Print Setup,.. gun." F10 Exit 'VIWeltometotytewsv H , j‘P’a’ttr ‘etdocumentsandsettlngstakram\mg_ > _ @EViews ‘ .. r: X File Edit Object View Proc Quick Options Add-ins Window Help ~Workfile Create ’ _ H l . X l J Workfile strutture type ; i- Data range 2 5 l l I “1.58; Undefedwmxl i Observations: {1000 l Dated - regular frequency Balanced Panel Unstructured workfiles by later specifying date andior other Identifier series. Worktlle names (crptional) New 7‘. ‘ ,deswenei Pee new? WF “one a Your data is cross sectional. You have 1000 observations. You should also give a name to your workfile. Save this workfile for your future computer assignments. EEviews V _ :1 x File Edit Object View Proc Quick Options Add-ins Window Help . , , Workfiie: Hw1 -V(c:\do_cuments and settings\akram\_my docume..._ — ,D X . . lViewlProcIObJedU PrintISave ’ Detaiisvrl-flshowl Fetch 1 Store DeieteJ Gem I Sample , ... Range: 11000 -~ 1000 obs Filter:M . ample:1 1000 -- 1000 abs Path? ,cxdoqimentgand eitings\§i<ra{n§r5y 99:01,:an Download the data file from sakai Drop box and save it somewhere. Do not make ANY changes in your data file. EEVieWS. . i rXX {FIE} Edit Object View Pro: Quick Options Add-ins Window Help : flew v 9P5" ’ :(c:\documents and settings\akram\my docume... _ D X gave Ctrivs X - rint 55;} Detaiis+A/Ii$ho;{Fetch[gtore {DeletelGenr Sampie‘ Save As... . ‘ ,000 obs Filter:* 3 ; gloss ,ooo obs fl“ -, i . import , b _ meortiromiiie..., Export b fetch from DB... 150 Fiielmpoit... DRI Bask Economics Database... .é Brim cm» Print Setup... Bun... F10 Egii Mew £31” Paéej ‘ ,P‘ath. atdocemehtsand‘s‘ettihosi‘aitram‘fihirrdocum 04+ @EViews - c: x Flle Edit Ohlud View Fin-Ir (‘IIIlrlr finflnn: MMJn: Windnw .Haln fTextRead-Step; 0f4_ ‘ V . 7 > V X : W05 Please examine the preview window ; Column specification If the rows and columns appear to be correct, click on ‘ @b the Finish button to read your data lnto EViews. ; 0 Fixed width fields To adjust the column breaks choose a column type From I O An explicit format (to be DIOVlde) I the list on the right, then click Next to continue. ‘ ‘ ’ ' ' ' To adjust the row breaks, click on the Following .3 Start of datalhealjéi. 1 Ski lines: 30 f ' Show row options I p 3.. W33 ,. .... A. _. 3 Iiege ism: Educ aI ion fem-11; ‘ 7.5700442 30 a o ; 5.6139370 20 11 1 j 0.3133028 31 9 o ; 11.017453 32 14 1 12.292346 41 20 1 » 12.604748 29 11 o 11.517012 3a 14 1 g 13.000213 3a 1a 1 ; 13.229156 34 15 o < 33. UntItIéd Uwi’age I @EVIews , _ H 1F|Ie Edit Object View Proc Quick Options Add-Ins Wind0w Help Workfile:HW1-(c:\d0cumentsand,settingsIekram‘Img.docume... _ I: X I lElViewIProElEbJect] ErlnfilfiveEeGIISH-l LShowlFetch StoreIl-Delete Gerflsamplg Range: 11000 -- I000 obs FIIIer:*;' Samplezjjpug "MIUUU obs ._ ‘3 E education ‘ @female E resid E wage >I Untitled M New Page] L-?_. - .HK. .,__ ___.___. ' monuments and‘settlngsie raIII‘Imy documents .;§ .0.“ ‘ ii’a‘ffi ii D X = .BEviews: ,. . , griie Edit Object View Pm} ‘H gample... generate Series... Workfilei HWl - (c.\docu ’ Show... V1512 Proc Object PrintSave Ggaph \‘Range: 11000 -- 1000 abs iiflSampien 1000 -- 1000 abs Empty GrountfidltSerIESI , i' N”; “é“_ . > ""“”"—w” ; 3% cg Series Statistics > Educfltlfln Groug Statistics > ema e 31g resid gstimatg Equation... wage Es‘tlmate MAR... >\ Untiungflew Page J.“ .. ocumcrits. To run the regression you should first type the name of your Dependent variable, and then you type C, then the name of your Independent variablels) For example if your dependent variable is wage and the independent variable is education, you type Wage C Education , B Eviews . ' — D x ; File Edit Object mam Drnr nun» , finHAnr. Maw \Mlndnuv,,,Hoini , . . :Equation Estimation, ’ _ X 1, F .. z . 5 Workfile: :l SpeCifIcatlon :thions, _’ . . , , [Viewiproc Obj' i Range: 1 100, Samplezi 1095’ El age 0 El . E education l < @female V E resid Equation specification Dependent variable followed by list of regressors including ARMA t and POL terms, OR an explicit equation like Y=c(1)+c(2)*><. E wage C educationl Estimation settings ' ~ - - a , - E ‘ Method:ng ; Leastéquares(NtS and AfiMA) V ‘ a . A I _ “ vl f . Sample: 2 1'10'05 l‘ I .k E l [:3 p' or .‘ [Mantel if Paths 'eldowmehtééndéiéittlr'ieéiafiiatninifd9mm __ I‘ Elawhél Wt it: tiny \ Untitled} Nevv liegej , EEViews . _ i: x L: File Edit Object View Proc Quick Options Add—ins Window Help Workfile: HWl - (c:\dl [E] Equation: UNTITLED ,Workfile;Hw:L::untitIed\ — =1 X E Elm“ 0mm} lpflEb/iewfiroqowed] [PrinthameJFreezeTEstimate Forecastismsinesidsl' ' Range: 11000 -- 1000 o, _ , i' Sample;11ggg __ 10000 DependentVarlable:WAGE ;; "Egg?— MethodzLeastSquares = _ .' [EC Date: 03722711 Time:17:20 ‘ \ education Sample:1 1000 , @femaie Included obsen/ations:1000 @resld : u Q wage ,_ Variable Coemclent Std. Error t-Statlstlc Prob. l? 0 1062002 1.312462 8.000217 0.0000 EDUCATiON 0.006251 0.101111 0.051031 03414 f: R-squared 0.000007 Mean dependentvar 11.70000 E Adjusted R-squared -0.000004 SD. dependentvar 15.33206 SE. ofregression 15.33368 Akalke info criterion 8.200078 Sum squared resid 2346514 Schwarz criterion 8.300704 Log likelihood -4147.080 Hannah-Quinn criter. 8.303700 F-statistlc 0.006172 Durbin-Watson stat 2.038661 Prob(F-statlstic) 0.341363 < )1, Untitled 5 New Page ‘7‘ . was: W.=..F 2' % Bethe m4?sense?5nd,?étfinastakrae‘ém destitéhtg The coefficient in front of C is the estimate for the intercept. The coefficient in front of EDUCATION is the estimate for the slope. In the Std. Error column you can see the standard error of the estimators for the intercept and the slope. In the t-statistic column you can see the t-stats when the null hypothesis is that the corresponding parameter is zero. in Prob column you see the P—values when the null hypothesis is that the corresponding parameter is zero. The following is an example of a regression with more than one independent variable. in this example, Wage is the dependent variable, and age, education, and female are independent variables. You should type Wage C Age Education Female E Eviews _ [El x : File Ed” Objed Uinud Drnr huirl) nnfinnr Adi-4 in: \Mlnr‘nui Hal”, > I Equation Estimation 7 , 1 X ASped‘fication 10ptlons A; "1 Workfile: ii ‘ Equation specification -:, i l | . 51 ET Range: 1 1002 Dependent variable followed by list of regressors including ARMA l Samplegi 1‘90; ; and PDL termsJ OR an explicit equation like Y=c(1)+c(2)*><. 1 ‘ wage c age education female 5 i {E c l ‘ i Z ‘ 5 E education *1 3‘ i 3 ' E female 2 ‘ 3 E resid i 'Iwagel. ‘ '1 ' 1 Estimation settings 1 Method: gLs - Least Squares (NLS and ARMA) i ltwmaun M... MMMflMHM....._ ”,flwscw“ voswwflmw... M‘MV‘W,“ . l l 1 5 i s . . 1 , samP'ei 5 11000 i l EEViews i _. » '. ‘ , —,D,Xf :File Edit Object Vlew Proc Quick Options Add~ins Window Help '- Workme‘ HWl - ‘ E] Equation: UNTlTLED Woridile:HW1::Untitled\ - I: x 5 _ ;_ W PrliView{Proc10bject] IPrInthameIFregiq{EstImatelForecast StatsLesidsJ Range. 11000 --1I. Sample: 1 1000 ,_ 1, DependentVariable: WAGE "WM ——*—" Method: LeastSquares gig” Date: 03722711 Tlme 17 34 E education Sample: 1 1000 ; gafemaie Included observations: 1000 . i 123 resld WWW—— 1 {Q wage i; Variable Coefiiclent StdError t-Statlstlc Prob, 0 4.729711 0248077 1906552 0.0000 AGE 0.044944 0.006264 7.174459 0.0000 EDUCATION 0.579705 0.012416 46.68876 0.0000 FEMALE -2.469993 . 0.061022 -40.47702 0.0000 §5 R-squared 0.897100 Mean dependentvar 11.43483 fi’ Adjusted R-squared 0.896790 SD. dependentvar 2.998694 SE. ofregresslon 0.963370 Akaike info criterlon 2.767233 Sum squared resid 924.3690 Schwarz criterion 2.786864 ' Log Iiketthood -1379.617 Hannan-Quinn criter. 2.774694 ‘ F-statistic 2894.432 Durbin-Watson stat 1.894372 Prob(F-statlstlc) 0.000000 < >71 Untitled New Em . . f Path c‘tdocumentsandsettingmkramxmy doguments ! DB none ( .= I ...
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