Eviews面板数据模型估计

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1、Eviews面板数据模型估计一、面板数据及如何建立混合数据库1.面板数据定义时间序列数据或截面数据都是一维数据。面板数据（paneldata）也称时间序列截面数据（timeseriesandcrosssectiondata）或混合数据（pooldata）。面板数据是同时在时间和截面空间上取得的二维数据。地区人均消费1996199719981999200020012002CP-AH（安徽）3282.4663646.1503777.4103989.5814203.5554495.1744784.364CP-B

2、J（北京）5133.9786203.0486807.4517453.7578206.2718654.43310473.12CP-FJ（福建）4011.7754853.4415197.0415314.5215522.7626094.3366665.005CP-HB（河北）3197.3393868.3193896.7784104.2814361.5554457.4635120.485CP-HLJ（黑龙江）2904.6873077.9893289.9903596.8393890.5804159.0874493.

3、535CP-JL（吉林）2833.3213286.4323477.5603736.4084077.9614281.5604998.874CP-JS（江苏）3712.2604457.7884918.9445076.9105317.8625488.8296091.331CP-JX（江西）2714.1243136.8733234.4653531.7753612.7223914.0804544.775CP-LN（辽宁）3237.2753608.0603918.1674046.5824360.4204654.420

4、5402.063CP-NMG（内蒙古）2572.3422901.7223127.6333475.9423877.3454170.5964850.180CP-SD（山东）3440.6843930.5744168.9744546.8785011.9765159.5385635.770CP-SH（上海）6193.3336634.1836866.4108125.8038651.8939336.10010411.94CP-SX（山西）2813.3363131.6293314.0973507.0083793.9084

5、131.2734787.561CP-TJ（天津）4293.2205047.6725498.5035916.6136145.6226904.3687220.843CP-ZJ（浙江）5342.2346002.0826236.6406600.7496950.7137968.3278792.210地区人均收入1996199719981999200020012002IP-AH（安徽）4106.2514540.2474770.4705178.5285256.7535640.5976093.333IP-BJ（北京）65

6、69.9017419.9058273.4189127.9929999.70011229.6612692.38IP-FJ（福建）4884.7316040.9446505.1456922.1097279.3938422.5739235.538IP-HB（河北）4148.2824790.9865167.3175468.9405678.1955955.0456747.152IP-HLJ（黑龙江）3518.4973918.3144251.4944747.0454997.8435382.8086143.565IP-J

7、L（吉林）3549.9354041.0614240.5654571.4394878.2965271.9256291.618IP-JS（江苏）4744.5475668.8306054.1756624.3166793.4377316.5678243.589IP-JX（江西）3487.2693991.4904209.3274787.6065088.3155533.6886329.311IP-LN（辽宁）3899.1944382.2504649.7894968.1645363.1535797.0106597.08

8、8IP-NMG（内蒙古）3189.4143774.8044383.7064780.0905063.2285502.8736038.922IP-SD（山东）4461.9345049.4075412.5555849.9096477.0166975.5217668.036IP-SH（上海）7489.4518209.0378773.10010770.0911432.2012883.4613183.88IP-SX（山西）3431.594