全部版块 我的主页
论坛 计量经济学与统计论坛 五区 计量经济学与统计软件 EViews专版
2472 2
2016-01-18
论文的数据格式如下,也是排版好久了,现在不知道如何在eviews中批量回归,一个一个跑得33次,需要的结果是如下的汇总。做了一个,需要里面的Coefficient,t-Statistic,Prob.  回归方程为y c x1(-1) x2(-1) x3(-1) x4(-1) x5(-1).求高手好人指导,sas,eviews,stata做都行。谢谢!!
CoefficientStd. Errort-StatisticProb.  
C-12173.941031.121-11.806520
X1(-1)-0.0684640.013712-4.9929250.0003
X2(-1)0.0015580.0007772.005380.068
X3(-1)-0.0002186.40E-05-3.4119320.0052
X4(-1)0.0035720.0010543.3883760.0054
X50.4166860.02796914.897890

AERAGZJZRDDLRDTUXJNLJSZHGDP
全国4097.76578381784745383662117958860793.72921
全国4909.12905943095776986615105734071176.59165
全国5971.63960894201538051806119290378973.035
全国7110.66708795645011207254094497084402.27977
全国8216.64925896755801525684298340789677.05475
全国10411.4791573111041024838202162372599214.55431
全国12263.361115721570109287586142005102109655.1706
全国15099.291184481869660341610912572735120332.6893
全国20556.11278492224468451504362627898135822.7561
全国27768.61208302921315609895053208387159878.3379
全国34367.1086173161.383624985.269146633.32808728.7184937.369
全国41995.99249188986.544564367.282488645.72717204.1216314.4259
全国50461.17248227.655453244.1103032216.53667206.7265810.3058
全国57087.38285079.156551993.8128794741.33308803.9314045.4271
全国60430.48389220.389212151373672223512467.4340902.8126
全国74708.9511174.8869678299.7163647629.63723365401512.7952
全国88433.85321511174.88614409133.22247334934116754.4473104.0486
全国102284623249173381012557103834850863519470.0992
全国116048.90167022220343380312296099.95336830.6568845.2098
东部2536.752217296022360927968676732009.25
东部3745.9636626181942508555955368537834.18
东部4603.4945037294262557273076000242548.87
东部5617.3238355442576968980868243146167.88
东部6624.97470305337691284233169393249610.94562
东部8566.524912283571421626116102970755689.57763
东部10237.3265637125827925805926140128061393.17064
东部12758.3869137151761131345470174697870338.28338
东部17989.8280400177044439961771183512479283.39613
东部25038.781268239560855830535227293399494.72
东部30772.25653118633.523087564.262304311.92111572.4117933.6526
东部37654.47019134446.533903706.574569922.61923019.4137542.33
东部44841.03186698.084624078.992649478.62715405.7163369.87
东部50089.47223754.95612448.8117297312.32364588191041.13
东部51590.52304766.673801341199894902355221.1211886.9
东部63746.6416738.9188130009.3149201328.52714387250487.94
东部72218.83078416738.91811861839.3198077016.13088128.9293581.45
东部78350.3490303138170272220286873396386320738.4726
东部85972.2290351447515817080252004183.63938690.8349336.54
中部488112552534366268523088615034.76
中部593.05158664633050628321120718182.8
中部682.88194585009691260021170120543.13
中部741.35137985209357464712510621679.08
中部832.3161235255976786710778222588.17311
中部1003.917313113068122069025502624865.16588
中部1106.591930913634098315030354727124.65
中部1283.1814985145166144078241469530212.865
中部1434.2316234195144230726837291633301.08
中部1478.119050201633207061841210839488.97
中部2079.8801729284.22248608.22642710.6362318.346362.07
中部2544.4845525792.53265193.32790685.7427675.653446.17
中部3280.4728211.99327232.43792341.2378587.164390.61
中部4192.2228195.25425779.24185155.639486977922.09
中部4902.9946886858656.67990786.557262486443.31
中部6751.661911.97815754.88783154.5390129105145.56
中部9990.6921261911.971459870.213306032.2587523.2127624.7
中部1110462699145176416212113536921141908.5681
中部14123.3357873364.11990256.340445999.6673828.5154670.02
西部4572441157109111169926193410470.72
西部570.123810281306139477329244812295.9
西部685.263159475795156647622120113666.66
西部751.991872669833180808513743214647.38
西部759.372943689252164664418169415354.02
西部841.0525138161628199139633899216654.624
西部919.4526625175490196953830027618248.44
西部1057.7334325206883137484041106320601.55245
西部1132.0531214258880288139741985822954.6649
西部1251.720513324074308835352334628603.48
西部1514.971925243.64288812.84199610.833483833493.3051
西部1797.0377528747.48395467.45128037.4366509.139495.78
西部2339.6833317.58501932.86590396.7573213.947864.14
西部2805.6933129513765.87312273.4549346.958256.58
西部3936.9637567.7682424.49386945.5584622.366973.48
西部4210.732523.998732535.65663146.662184581408.49
西部6224.3303132523.9981087423.713350444.7441102.3100234.96
西部8952.749651134490012402493663805113904.8043
西部11548.8409461744.81719198.814001371.3488259.7126002.78
北京212.82326510497214364306411394.89
北京250.92477822806768588170311615.73
北京361.19482155064571291415981810.09
北京556.31455826069436957249772011.31
北京667.064726419691432485316192174.46
北京972.6843741070593830492151532478.76
北京1095.97617312892342467561006672845.65
北京1090.59497320798044109811035123254.375
北京1188.562092488882233738641863663.1
北京1539.8750925533547950492998396060.28
北京2134.259788591.46207215.83777311.752769.56886.31
北京2659.900656466.683460134223015.938228.67861.04
北京3186.678420.71289888.615237869.369145.99353.32
北京2953.248039.53299444.813643433.44152710488.03
北京2757.1413458.4454718.914835433.740864.812153.03
北京2992.718049.181368388.213607776.772016.914113.58









二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

全部回复
2016-1-18 10:40:57
如果是你这个数据的话 你要做多变量的回归 只要把数据里的变量全部放入就可以了
之前先取对数 然后在进行分析
如果OLS回归的话
ls y c x1(-1) x2(-1) x3(-1) x4(-1) x5(-1)就可以了
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

2016-1-18 12:29:02
胖胖小龟宝 发表于 2016-1-18 10:40
如果是你这个数据的话 你要做多变量的回归 只要把数据里的变量全部放入就可以了
之前先取对数 然后在进行分 ...
可是要批量回归  对每个aera做一次回归 回归结果在汇总在一个表里
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

相关推荐
栏目导航
热门文章
推荐文章

说点什么

分享

扫码加好友,拉您进群
各岗位、行业、专业交流群