Question

In: Economics

When looking into covariance, the OLS assumption is that the error term has a population mean...

When looking into covariance, the OLS assumption is that the error term has a population mean of 0. What does the error term mean? what does this: cov(ui, us) ≠ 0 mean?

Solutions

Expert Solution

An error term is a residual variable which represents how observed data differs from actual population data.It exists when the regression model does not fully represent the actual relationship between the independent variables and the dependent variables.

Cov.(ui,us)not equal to 0 means observations of the error term are uncorrelated with each other.

It means that one observation of the error term should not predict the next observation. For instance, if the error for one observation is positive and that systematically increases the probability that the following error is positive, that is a positive correlation. If the subsequent error is more likely to have the opposite sign, that is a negative correlation. This problem is known both as serial correlation and autocorrelation.


Related Solutions

TRUE/FALSE and explain Homoskedasticity of the error term is crucially needed to show that the OLS...
TRUE/FALSE and explain Homoskedasticity of the error term is crucially needed to show that the OLS estimators are unbiased.
TRUE or FALSE and Explain why: The assumption of normality of the error term is essential...
TRUE or FALSE and Explain why: The assumption of normality of the error term is essential for the Gauss-Markov theorem (i.e. to show that the OLS estimator is BLUE (Best Linear Unbiased Estimator)).
1. The normality assumption implies that: a. the population error u is dependent on the explanatory...
1. The normality assumption implies that: a. the population error u is dependent on the explanatory variables and is normally distributed with mean equal to one and variance 2. b. the population error u is independent of the explanatory variables and is normally distributed with mean equal to one and variance . c. the population error u is dependent on the explanatory variables and is normally distributed with mean zero and variance . d. the population error u is independent...
Determine the margin of error for a 99​% confidence interval to estimate the population mean when...
Determine the margin of error for a 99​% confidence interval to estimate the population mean when s​ = 43 for the sample sizes below. ​a) n=12 ​b) n=25 ​c) n=46 ​a) The margin of error for a 99​% confidence interval when n=12 is _.
Determine the margin of error for a 99% confidence interval to estimate the population mean when...
Determine the margin of error for a 99% confidence interval to estimate the population mean when s=45 for the sample sizes of n=15, n=34, n=54. (Find the margin of error for each interval when n=x) Determine the margin of error for a confidence interval to estimate the population mean with n=24 and s=12.3 for confidence levels 80%, 90%, 99%.
In least squares regression, which of the following is not a required assumption about the error term ε?
   5. In least squares regression, which of the following is not a required assumption about the error term ε? a. The expected value of the error term is one.  b. The variance of the error term is the same for all values of x.  c. The values of the error term are independent.  d. The error term is normally distributed.    7. Larger values of r2(R2) imply that the observations are more closely grouped about the  a. Average value...
​In least squares regression, which of the following is not a required assumption about the error term ε?
1. In least squares regression, which of the following is not a required assumption about the error term ε? a. The expected value of the error term is one. b. The variance of the error term is the same for all values of x. c. The values of the error term are independent. d. The error term is normally distributed. 2. Larger values of R2 imply that the observations are more closely grouped about the a. Average value of the independent variables b. Average value of the...
A confidence interval for a population mean has length 26. a) Determine the margin of error....
A confidence interval for a population mean has length 26. a) Determine the margin of error. b) If the sample mean is 58.9, obtain the confidence interval. Confidence interval: ( , ). Lindsey thinks a certain potato chip maker is putting fewer chips in their regular bags of chips. From a random sample of 23 bags of potato chips she calculated a P value of 0.029 for the sample. (a) At a 5% level of significance, is there evidence that...
The larger the variability in a population, the... a) smaller the standard error of the mean...
The larger the variability in a population, the... a) smaller the standard error of the mean b) larger the standard error of the mean c) Lesser the difference between the mean and median
The implicit assumption, when economists assess the performance of an economy by looking at its level...
The implicit assumption, when economists assess the performance of an economy by looking at its level of income per person or at its growth rate, is that higher income per person leads to more happiness. Does money lead to happiness? Back up your answer with concrete evidence (such as research findings).
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT