[英]OLS and IV2SLS prediction unexpected result
I have the following Dataframe:我有以下 Dataframe:
Price Quantity Cost
1 6.979 800.359 1.830
2 7.420 427.363 1.830
3 7.408 486.639 1.830
4 7.613 574.584 1.830
5 8.059 621.247 1.830
6 8.445 498.810 1.830
7 7.864 635.192 1.830
8 9.629 405.185 1.830
9 12.137 364.420 1.830
10 10.945 241.486 1.830
I ran this:我跑了这个:
ols=sm.OLS(annual['Price'],annual[['Price', 'Quantity']]).fit()
print(ols.predict([1,10]))
(I read here: What is first value that is passed into StatsModels predict function? that I need to add the 1 as constant) (我在这里读到: 传递给 StatsModels 的第一个值是什么预测 function?我需要将 1 添加为常量)
My expected result would be ~340, actual result: [1.]我的预期结果是~340,实际结果:[1.]
I also read that I should include the costs and use the IV2SLS regression like this:我还读到我应该包括成本并像这样使用 IV2SLS 回归:
IV = IV2SLS(annual['Price'],
annual[['Price', 'Quantity']],
annual[['Price', 'Cost']])
How do I get the prediction here?我如何在这里得到预测?
I tried:我试过了:
IV.fit().predict([1.83,10])
Again expected result ~340 Actual result: [1.83]再次预期结果 ~340 实际结果:[1.83]
Thank you!谢谢!
I believe I have the inputs wrong.我相信我输入错误。 It works like this:它是这样工作的:
resultIV = IV2SLS(annual['menge_fig_adjusted'],
annual['Preis_fig'],
annual['Cost']).fit()
print(resultIV.predict([10,1.83]).mean())
Result 345结果 345
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