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wel
3 years ago
14

Ordinary least squares estimation is subject to heterogeneity bias if _____. 答案选项组 the regression model exhibits heteroskedastic

ty the unobserved effect is correlated with the observed explanatory variables the regression model includes a lagged dependent variable the explanatory variables do not change over time
Mathematics
1 answer:
xxTIMURxx [149]3 years ago
4 0

Answer:

Unobserved effect.

Step-by-step explanation:

The unobserved effect of heterogeneity is correlated with the observed explanatory variables. Population heterogeneity is bias in unobserved pre treatment factors which affect the outcome even without treatment.

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The zero of polynomials is -2. The polynomials is p(y) = 3y^{3} - 16 y - 8.

According to the question,

The polynomials is p(y) = 3y^{3} - 16 y - 8. In order to find the zero of polynomials only if we substitute the value and polynomials become zero.

p(-2) = 3(-2)^{3} - 16 (-2) - 8

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