《计量经济学》课程论文-影响我国农业总产值因素的实证分析

《《计量经济学》课程论文-影响我国农业总产值因素的实证分析》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、班级姓名学号一模型的设定我们将“农村居民消费水平”设为被解释变量，“农村居民家庭人均收入”，“农村商品零售价格指数”，“农村固定资产投资总额”，“农村居民人均储蓄存款年末余额”设为解释变量，设立了以下经济学模型：Y=农村居民消费水平（元）=农村居民家庭人均收入（元）=农村商品零售价格指数=农村固定资产投资总额（亿元）=农村居民人均储蓄存款年末余额（元）数据如下：obsYX1X2X3X41978137.0000114.0600100.00009.5600009.9400001979153.0000136.1100101.100011.3200

2、015.470001980164.0000175.7700104.800017.5600018.850001981187.0000204.4100106.300022.5800032.180001982198.0000238.7000108.100036.9100057.530001983221.0000298.0700109.300030.5500078.750001984261.0000345.0000113.200033.8200086.230001985319.0000385.2300119.400043.51000106.0200

3、1986356.0000407.6100125.100049.25000177.81001987423.0000444.4000135.400059.04000231.06001988557.0000546.6200159.100087.48000274.32001989583.0000589.4000192.200081.92000306.42001990609.0000621.6700192.200058.30000357.35001991675.0000657.3800194.7000101.7900481.63001992729.0

4、000682.4800201.1000117.8500560.41001993831.0000803.8000220.2000179.8900687.240019941001.0001107.250263.8000247.3200887.920019951281.0001668.730307.6000350.92001055.72019961522.0002054.950327.0000469.9700648.330019971641.0002286.010333.9000589.3400803.060019981642.0002405.3

5、20324.9000609.7200962.430019991803.0002441.500317.4000613.61001231.41020001848.0002478.860313.9000635.44001499.62020011912.0002603.600314.5000659.37001770.52020021987.0002685.160313.2000673.00002135.14020032042.0002853.290314.5000705.18002806.23020042167.0003171.060327.100

6、0776.78003524.83020052449.0003481.640331.0000831.93003960.430资料来源：《河北经济年鉴2006》，《河北农村统计年鉴》二参数估计模型为Y=农村居民消费水平（元）=农村居民家庭人均收入（元）=农村商品零售价格指数=农村固定资产投资总额（亿元）=农村居民人均储蓄存款前期年末余额（元）用Eviews估计结果为：DependentVariable:YMethod:LeastSquaresDate:12/18/08Time:13:21Sample:19782005Includedobserv

7、ations:28VariableCoefficientStd.Errort-StatisticProb.C-119.249042.29552-2.8194240.0097X10.3120120.1663211.8759620.0734X22.3987650.4023145.9624150.0000X30.3712050.5022950.7390190.4674X40.0915880.0291243.1447900.0045R-squared0.995968Meandependentvar989.2143AdjustedR-squared0

8、.995267S.D.dependentvar756.4193S.E.ofregression52.04132Akaikeinfocriterion10.90239Sumsqua