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1、Eviews面板數(shù)據(jù)上機(jī)操作2011年4月26日、建立兩種eviewsl作文件(1) 建立混合數(shù)據(jù)型工作文件1 建立一個(gè)年度工作文件(1996-2002) . (file:) filenewworkfileobjectnew objectpoolOKWorkfile CreateWorkfile structure typeD-ated - regular frequency Irregular Dated and Panel workfiles may be made from Un structured workfiles by later specifying date and/or o
2、ther iden tifier series Date specification! OK J I CancelNames (optional)WF;Page:在彈出的對(duì)話(huà)框中輸入截面?zhèn)€體的名稱(chēng)縮寫(xiě)一一點(diǎn)擊sheet,輸入變量名 (注意:在面板數(shù)據(jù)中,變量名的后面要加上“? ”,表示不同個(gè)體)。r13k在彈出的右圖對(duì)話(huà)框中點(diǎn)擊Edit鍵 輸入數(shù)據(jù),點(diǎn)擊order鍵可以在“按 個(gè)體進(jìn)行排序”和“按時(shí)間進(jìn)行排 序”之間進(jìn)行切換。生成新的序列打開(kāi)原始數(shù)據(jù)(在變量列表中雙擊poolOl即可打開(kāi)),點(diǎn)擊工具欄倒數(shù)第二個(gè)的“poolGenr”鍵,或者選擇quickgenerate series,在彈出的
3、對(duì)話(huà)框中輸入要生成的公式,如:cp?=consume?/p?, ip?=income?/p? Pool: POOLOl Workfile: PANEL DATA:UntitledrView Proc Object Print Name Freeze :Edit4-/- Order+/- Smpl4-/- Format Title Estimate Define PoolGenr SampleobsCONSUME? |INCOME?P?BJ-19965729.5207332.010111.60004ZZZ)VBJ-19976531.8107813.160105.3000BJ-19986970.8
4、308471.980102.4000BJ-19997498.4809182.760100.6000BJ-20008493.49010349.69103.5000BJ-20018922.72011577.78103.1000BJ-200210284.6012463.9298.20000TJ-19964679.6105967710109.0000TJ-19975204.1506608.390103.1000TJ-19985471.0107110.54099.50000TJ-19995851.5307649.83098.90000TJ-20006121.04081 40.50099.60000TJ-
5、20016987.2208958700101.2000TJ-20027191.9609337.56099.60000HB-19963424.3504442.810107.1000HB-19974003.7104958.670103.5000HB-19983834.4305084.64098.40000HB-1999dn?6 mririmnqa wnnnHR-9nnn4L卜(2) 建立面板數(shù)據(jù)型工作文件1 建立一個(gè)年度工作文件(1996-2002) . (file:)file new workfile 在彈出的對(duì)話(huà)框的左邊選擇Balance panel 并輸入起始時(shí)間,在截面數(shù)據(jù)選項(xiàng)中輸入T5”
6、 一一OKobjectnew objectpoolOK(2) objectnew objectquickempty group,后面步驟 的和截面數(shù)據(jù)的操作一樣。Workfile CreateObject View ProcQuickOQtions Win dow HelpBalanced P曰 nelIrregul-ar Dated and Panel workfiles may be made from Unstructured workfiles by later specifying date and/or other identifier series Panel specifica
7、tionNumber of cross sections:15Workfile:Names (opti onS)WF;Page:Range: 1996Sample: 1996 ismebscrossid daieid resid ser01 ser02Sample.Generate Series.Show .Graph Empty Group (Edit Series)Series Statistics Group Statistics Estimate Equati on. Estimate VAR.注意:由于無(wú)法輸入個(gè)體名稱(chēng), 容易產(chǎn)生混亂,因此不建議使用二、畫(huà)個(gè)體符號(hào)不同的散點(diǎn)圖方法一:
8、在變量截面中按住Ctrl鍵,依次選擇每個(gè)個(gè)體的因變量和自變量,點(diǎn)擊右鍵, 選擇openas group,在打開(kāi)的數(shù)據(jù)窗口中選擇viewgraphconsumehbOpenconsumejs consume consumeln& cpnmg Kcpsd2S cpshcpsx Scptj & cpzj0pln0pnmg EpoolOI0psdGroup: UNTITLED Workfile: PAPas Groupcon sume nmgconsumesh consumes0 income? 0 incomet Hincomef 0 incomet 0 incomer 0incom
9、ej Hincomej 0incomej;CopyPastePaste Special.Manage Links & Formulae.Fetch from DB.Store to DB.Object copy as Equation.as Factor.as VAR. asSystem.as Multiple seriesE3両5 Print Item© 険甸 Group Members Spreadsheet Dated Data TableGraph.,Descriptive StatsCovarianize Analysis.N-Way Tabulation.Test
10、s of Equality.Principal Comp on ents.IPAH .06251 i.40247 .70470 .78528 .56753 .40597 .93333ah切 Bhbhlj卩.)s p p p p p p p c c c c c c c slslslsls曲Is0 incomel0 incomer0 incomes Hincomesn HincomesxRename.Delete0incometj0incomezjH I S X I - Z /- - -C w- p p P在彈出的對(duì)話(huà)框中選擇scatter在multiple中選擇single graph-XY p
11、airsOK便可得如下的散點(diǎn)圖o (CPAH.IPAH) i' (CPFJJPFJ) x (CPHU.IFHLJ) (CPJSJPJS) x (CPLN.IPLN)(CPSD.IPSD)(cpsx.ipsxiI- (CPZJJPZ (CPBJ.IP0J) (CPHBJPHB) + (CPJL.IPJL) (CPJX.IPJX) a (CPNMG.IPNMG)(CPSH.IPSH) (CPTJJPTJ)方法二(個(gè)人認(rèn)為該方法較麻煩):新建立一個(gè)截面數(shù)據(jù)文件夾filenewworkfile,在彈出的對(duì)話(huà)框左側(cè)選擇unstructured/undated,右邊輸入 1 05OKobjectn
12、ewobjectseries,在右邊變量名的對(duì)話(huà)框中輸入變量名cp_l 996 (這里一定要輸入,否則不會(huì)出現(xiàn)該變量)一一0K雙擊變量名cp_1996,在彈出的 對(duì)話(huà)框的第1 -1 5個(gè)空格中輸入數(shù)據(jù)。Workfile CreateWorkfib structure typeUnstructured / Undated D-ata r-angeObservations: 105Irregular Dated and Panel workfiles may be made from Un structured workfiles by later specifying date and/or o
13、ther identifier series CancelView Proc Object Properties113282.46625133.97834011.77543197.33952904.68762833.32173712.26082714.12493237.275102572.342113440.684126193.333132813.336144293.220155342.23416NA按照以上方法依次建立變量cp_1997、cp_1998,并輸入數(shù)據(jù),在輸入 數(shù)據(jù)時(shí)cp_l 997要在第1 6-30個(gè)空格中輸入,cp_l 998要在第31-45個(gè)空 格中輸入,依次類(lèi)推。然后再建
14、立變量cp_iah、cpbj、cp.ifj方法同上建立一個(gè)以所有的因變量值()為橫坐標(biāo)的變量ipSeries: CP IBJ Workfile:View Proc Object Properties PrintSeries: CP_1997 % Series: CP_20Q2 VVorkfile: UNTIView ProcObject Properties Print NamefView ProcObject ; Properties Print Name115NA89NA163646.1 5090NA176203.048914784.364184853.441921 0473.1 2193
15、868.31 9936665.005203077.9899451 20.485213286.432954493.535224457.788964998.8742331 36.873976091.331243608.060984544.775252901.722995402.063263930.5741004850.1 80276634.1 831015635.770283131.62910210411.94295047.6721034787.561306002.0821047220.84331hJQ1058792.21 0qq6NA7NA85133.97896203.048106807.451
16、117453 757128206.271138654.4331410473.1215NA16NAView Proc | Object Properties90NA91NA924293.220935047.672945498.503955916.613966145.622976904.368987220.84399NA Series: CPJTJ Wori 建立以所有的因變量值()為橫坐標(biāo)的變量ip和ip_t,其中ip是按個(gè)體排序的 1 05個(gè)ip值,ip_t是按時(shí)間排序的1 05個(gè)ip值。 按Ctrl鍵,分別按順序點(diǎn)擊ip_t,cp_l 996,cp_l 997,cp_l 998一一右鍵 op
17、en as a group(或者show),此時(shí)打開(kāi)的數(shù)據(jù)為階箱型,其中第一列為全 部105個(gè)ip值,后面分別為1996年、1997年.的cp值。1006038.9221017668.03610213183.881036335.7321049375.06010511822.001S? EViews Group: UNTITLED Workfile: SANDIANTUUntitled口 File Edit Object View Proc Quick Options Window HelpView | Proc| Object Print | Name | Freeze | | Def sui
18、t Sort | Transpose | Edit-t-/-1 Smpl+/-1 InsCobsIP TCP 1996CP 1997CP 1996CP 1999133431.5942813.336NANANA145474.9634293.220NANANA156446.6155342.234NANANA164540.247NA3646.150NAMA177419.905NA6203.048NANA186040.944NA4853.441NANA194790.986NA3868.319NANA203918.314NA3077.989NANA214041.061NA3286.432NANA2256
19、68.830NA4457788NAMA233991.490NA3136.873NANA244382.250NA3608.060NANA253774.804NA2901.722NANA265049.407NA3930.574NANA278209.037NA6634.183NANA283869.952NA3131.629NANA296409.690NA5047.672NANA307158.288NA6Q02.082NANA314770.470NANA3777.410NA328273.418NANA6807.451MA336505.145NANA5197.041NA345167.317NANA389
20、6.778NA354251.494NANA3289.990NA364240.565NANA3477.560NA374°在打開(kāi)的數(shù)據(jù)組中點(diǎn)擊viewgraphscattersimple scatter 便可得到不同時(shí)間的散點(diǎn)圖。同理,按Ctrl鍵,分別選擇ip_i, ip_ah,l p_bj, ip_hb便可得到不同個(gè)體 的散點(diǎn)圖。11000-10000-9000-8000-7000-6000-5000-4000-3000-6 7 89 9 99 9 9 1 -1 di _ _ _ ppp c c c9 0 0 12 2 p p P c c Co CPAH+ CP.JJL CP.JSD
21、 CP IBJ CPUSq CPJSH» CP IFJo CPIJXO CPISX* CPHB CPILN CP.JTJ:CPHLJA CPINMG0 CP.IZJ20002000 4000 6000 8000 10000 12000 14000IPJ由貓讒嚨豔洛泊三、配回歸直線(xiàn)(file: 7panelO5食品支出)按住Ctrl,選擇要畫(huà)回歸線(xiàn)的兩個(gè)變量,在本例中按住Ctrl,選擇fl和il openas group在打開(kāi)的數(shù)據(jù)對(duì)話(huà)框中選擇viewgraph在graph type選項(xiàng)中選擇scatter在對(duì)畫(huà)框右邊點(diǎn)擊option選項(xiàng)Group: UNTITLED Workfile
22、: UNTGroup MembersSpreadsheetDated Data TableMi60.950062.6800i83.4400i95.3000Graph.Descriptive Stats Covariance Analysis. N-Way Tabulation. Tests of Equality. Principal Components. i30.7500i33.8500i40.7700iSO.OOOOi67.5500i76.6400Correlogram (1).Cross Correlation (2) Unit Root Test.Cointegration Test
23、.Qranger Causality.i82.2700834500;95.0000'04.1 600'04.3000'1 7.7000Label29.840033.3100Option選項(xiàng)對(duì)話(huà)框中有多種選擇(具體圖形在下頁(yè)):a. x選inverse表示倒數(shù)模型b. x選log表示對(duì)數(shù)模型c. x、y都選log表示雙對(duì)數(shù)模型d. x選power 2表示是只有平方項(xiàng)的模型e. x選polynomial 2表示既有平方項(xiàng)又有一次方項(xiàng)的模型倒數(shù)模型20.000-f雙對(duì)數(shù)模型有一次方的二次項(xiàng)模型F1對(duì)數(shù)模型從這幾個(gè)圖形來(lái)看,雙對(duì)數(shù)模型和 二次多項(xiàng)式模型擬合的較好,但是 圖形越來(lái)
24、越分散,說(shuō)明存在異方差, 可以用下一頁(yè)的方法來(lái)克服異方差。無(wú)一次方的二次項(xiàng)樓型(3) 克服二次多項(xiàng)式模型的異方差:按Ctrl選擇fl ,il show在對(duì)話(huà)框中輸Alog(fl) log(il)打開(kāi)數(shù)據(jù)窗 口viewgraphscatteroption在x transformation中選擇polynomialOK,便可得無(wú)異方差的散點(diǎn)圖。obsLOG(F1)LOG )15.6266856.32963225.7143606.33271135.6617106.36894245.5691086.38906555.712U76.44691065.7780246.45181275.7567546.46
25、2671|vigw|Pro.cobject Piint |rtam4|Fre©zg| | Default |10.09.5-9.0-8.5-8.0-6.5-7.06.06.56.05.5£0017.0-LOG(F1)9.0四、畫(huà)擬合曲線(xiàn)點(diǎn)擊之前所做的估計(jì)結(jié)果的名稱(chēng)(這里為pool02,每次做出結(jié)果后最好保存, 便于以后隨時(shí)打開(kāi)),在打開(kāi)的結(jié)果窗口中點(diǎn)擊procmake model在彈出的對(duì)話(huà)框中點(diǎn)擊solve在彈出的Model solution對(duì)話(huà)框的左邊中 間部分選擇Static solution此時(shí)原始的變量窗口會(huì)多岀cpah_0> cpbj_O
26、等,這是個(gè)體變量的擬合值。tlPool: P00L02 Workfile: 5PANEL02PaneView?rdq| Object 1 Print 1 NameFreezeEstimateDefiModel: UNTITLED Workfile: 5PANEL02PanMigyv|Proc|obj&:t| Print|N3mg|FreeN&| Solw | EqMtions|SaveDel:3ils4/-| ShowI H ICro Tot?Li礙EstimateMMMake ResidualsMake Group.Make Period Stats series.1 Mak
27、e ModelMake System.Update Coefs from PoolGenerate Pool series. Delete Pool series.R-sAdjiS.EP馬Store Pool series (DB).Fetch Pool series (DB).Import Pool data (ASCILXLS.WK?).Export Pool datJ (ASCII,XLS,WK?).I Equati on s: 15E POOL02Eq1.DyTiAmic solution Static solutioni,r Fi t static - no eq inteStruc
28、tural (ignore AJobsobs0 consumetj 0 consumezj EElcp0 cpah0 cpah_O0 cpbjS cpbj_O0 cpflS cpij_O0 cphbS cphb_OS cphlj0 cphljJD3ISDIK K n n.w.wd.d.c c c c按住Ctrl,選擇cpah和cpah.Oopen as a group在彈出的數(shù)據(jù)對(duì)話(huà)框中選擇viewgraphline便可得到由原始值和擬合值曲線(xiàn)構(gòu)成的圖。如果想在圖形中出現(xiàn)散點(diǎn),可以雙擊圖形, 在彈出的對(duì)話(huà)框中選擇line&symbol,便可 出現(xiàn)帶有散點(diǎn)圖的圖形。Line attrib
29、utes五、面板數(shù)據(jù)的估計(jì)和檢驗(yàn)(file :5panelO2)1.面板數(shù)據(jù)的估計(jì) 建立面板數(shù)據(jù)文件夾,具體步驟參考第一部分 打開(kāi)數(shù)據(jù)窗口,點(diǎn)擊estimate,彈出pool estimate對(duì)話(huà)框,如下頁(yè)所示。V填入因變量選擇None表示混合 模型,選擇fixed表 示個(gè)體固定效應(yīng)模型, 選擇random表示個(gè) 體隨機(jī)效應(yīng)模型選擇None表示混合 模型,選擇fixeH表 示時(shí)間固定效應(yīng)標(biāo)型, 選擇random表示時(shí) 間隨機(jī)效應(yīng)模型GLS權(quán)重,通過(guò)加權(quán)可以克服異方差變參模 型V下面為個(gè)體固定效應(yīng)的結(jié)果。點(diǎn)擊viewrepresentation可以顯示具體的回歸方程式。Pool: POOL02
30、Workfile: 5PAN邁鐵 I Prod Object | Print Namere 述 | _E Cross Section IdentifiersRepresentationsS? EViews - Pool: POOL02 Workfile: 5PANEL02Panel02口 File Edit Object View 臼cc Quick Options WindowView | Pfoc | Object|Estirate | Define PoolGenr | Sheet |VariableCoefficie ntStd Errort-StatisticC533440369.3
31、47727.692266IP?0.6947360.01086363.95600Fixed Effects (Cross)AH-C-3977133BJ-C546.0966FJ-C-45.58037HB-C-156.7460HU-C-174.2270JL-C19.93251JS-C-34.68271Estimation OutputResidualsCoef Covariance MatrixConfidence Ellipse.Wald Coefficient Tests.View | Proc object | Print Name Freeze | Estimate | Define | P
32、oolGenr | Sheet | buDstituted uoetticierrts:CPAH = -39.77133443 + 533.440323 + 0.6947364855*IPAH:PBJ = 546.0965643 + 533.440323 十 0.6947364855*IPBJCPFJ = -45.58037043 + 533.440323 + 0.6947364855*IPFJCPHB = -156.7459542 十 533.440323 + 0.6947364855*IPHBCPHLJ 二-174.2269943 十 533.440323 十 0. 6947364855*
33、IPHLJCPJL = 19.93250903 + 533.440323 + 0.6947364855*IPJL2.面板數(shù)據(jù)的檢驗(yàn)Hausman檢驗(yàn)(要在隨機(jī)效應(yīng)結(jié)果窗口中進(jìn)行)對(duì)數(shù)據(jù)進(jìn)行隨機(jī)效應(yīng)模型估計(jì),在估計(jì)結(jié)果窗口點(diǎn)擊viewFixed/RandomEffects testingCorrelated Random Effect-Hausman Test (6.0以上白勺版本才可以)Pool: POOL02 Workfile: 5PANE:Pool: POOL02 Workfile: 5PANEL02:Panel02計(jì)磴yy Proc Object Print Name Freeze Es
34、timate Define PoolGenr SheetCross Section IdentifiersC345.1795IP?0.724569Random Effects (Cross)AH-C-2.553433BJ-C367.0439FJ-C-54.24006HB-C-104.8367HU-C-101.7680JL-C54.90671JS-C-32.27868JX-C-223.9519LN-C112.1152NMG-C-133.1377SD-C-100.8713SH-C126.1820SX-C-22.79189TJ-C10.08794ZJ-C106.0939站如Ptxobj&d:
35、 print加皂總対 EsQ芒iiV七PU巧【Hi亡仃iFtearesentationsEstimation OutputResidualsCoef CovariancE MatrixCoeffi匚ient TestsFixed/Randorn Effects TestingSpreadsheet (stacked data). Descriptive Statistics .Unit Root Test.Cointegration Test.Label)5lent variancesStd. Error 1Statistic Prob.Redundant Fixed Effects - Li
36、kelihood RatioCorrelated Random Effects Hausman Test注意:只有在隨機(jī)效應(yīng)估計(jì)窗口中才能 進(jìn)行Hausman檢驗(yàn),只有在固定效應(yīng)估 計(jì)窗口中才能進(jìn)行似然比檢驗(yàn)Pool: P00L02 Workfile: 5PANEL02:Panel02Yi 胡Object|Piint|NameFr88ze Estimatepefin&poolGend品estTest SummaryChi-Sq. StatisticChi-Sq. d.f.Prob.Cross-section random14.78756310.0001Correlated Random
37、 Effects HausmanTostPool: POOL02Test cross-section random effectsHausman檢驗(yàn)的原假設(shè)是個(gè)體效 應(yīng)與回歸變量無(wú)關(guān),應(yīng)建立隨機(jī)效 應(yīng)模型,因此當(dāng)Hausman值較大, 其對(duì)應(yīng)的P值遠(yuǎn)小于0.05時(shí),拒絕 原假設(shè),應(yīng)建立個(gè)體固定效應(yīng)模型。似然比檢驗(yàn)方法同上,只是要在個(gè)體固定效應(yīng)模型的輸出結(jié)果下進(jìn)行檢驗(yàn)*liPool: POOL02 Workfile: 5PANEL02:Panel02F曰View |PrQcj ObjectPrint|Nane| 屁 ©e 乙 eEstimate Define jP OQlGenr :
38、Sh eetEffects TestStatisticd.f.Prob.Cross-section F7.151832(14.89)0.0000Cross-section Chi-square79.146400140.0000Redundant Fixed Effects TestsPool: POOL02Test cross-sectionfbcod effects該檢驗(yàn)的原假設(shè)是勺相等,應(yīng)建 立混合效應(yīng)模型,當(dāng)F值較大,P 值遠(yuǎn)小于0.05時(shí),拒絕原假設(shè), 應(yīng)建立個(gè)體固定效應(yīng)模型。兩個(gè)檢驗(yàn)的結(jié)果都是要建立個(gè)體固定效應(yīng)模型, 因此這組數(shù)據(jù)應(yīng)建立個(gè)體固定效應(yīng)模型。 其他功能點(diǎn)擊 viewRes
39、idualTable,Graphs, Covarianee Matrix, Correlation Matrix可以分別得到 按個(gè)體計(jì)算的殘差序列表、殘差序 列圖、殘差序列的方差協(xié)方差矩陣、 殘差序列的相關(guān)系數(shù)矩陣。在估計(jì)結(jié)果中點(diǎn)擊procMakeModel可以出現(xiàn)估計(jì)結(jié)果的聯(lián)立方 程形式,進(jìn)一步點(diǎn)擊Solve鍵可以 在彈出的對(duì)話(huà)框中進(jìn)行動(dòng)態(tài)和靜態(tài) 預(yù)測(cè)。DeFSar Incl CroTote Poof: P00L02 Workfile: 5PANEL02Panel02迅議| Proc|Object| Print) Name|Freeze; Estimate Define|Pool«
40、Genr |SheetCross Section IdentifiersRearese ntationsEstimation OutputaResiduals 1TableCoef C ovariance Matrix Confiden 匚 e Ellipse. Wald Coefficient Tests.GraphsCovariance MatrixCorrelation MatrixSpreadsheet (stacked data) .Descriptive Statistics .Unit root test.ValueStd. Err.Label514.9142 81.59665R
41、estrictions are linear in coefficients.Pool: P00L02 Workfile: 5PANEL02Panel0View >?rdg| Object Print Name Freeze Estimate DefineEstimateMake ResidualsMake Group.Make Period Stats series.Make ModelMake System.Update Coefs from PoolGenerate Pool series.Delete Pool series.Store Pool series (DB).Fetch Pool series (DB).Import Pool data (ASCII,XLSUWK?).Export Pool data (ASCII,XLS,WK?).五、面板數(shù)據(jù)的單位根檢驗(yàn)在估計(jì)結(jié)果或原始的面包數(shù)據(jù)窗口中
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