Question

1.Which of the following is true of Chow test? a. It is a type of sign...

1.Which of the following is true of Chow test?

a.

It is a type of sign test.

b.

It is only valid under heteroskedasticity.

c.

It is only valid under homoskedasticty.

d.

It is a type of t test.

2.

Consider the following simple regression model y = β0 + β1x1 + u. Suppose Corr(x,u) > 0, Corr(z,x) > 0, and Corr(z,u) < 0. Then, the IV estimator has a(n) _____.

a.

substantial bias

b.

downward bias

c.

asymptotic bias

d.

upward bias

3.

Which of the following Gauss-Markov assumptions is violated by the linear probability model?

a.

The assumption of no exact linear relationship among independent variables.

b.

The assumption of constant variance of the error term.

c.

The assumption that none of the independent variables are constants.

d.

The assumption of zero conditional mean of the error term.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1) Which is NOT a fundamental assumption of OLS (Ordinary Least Squares)? a)       The...
1) Which is NOT a fundamental assumption of OLS (Ordinary Least Squares)? a)       The regression model is nonlinear in the coefficients and error term.   b)       Observations of the error term are uncorrelated with each other.    c)    No independent variable is a perfect linear function of any other explanatory variables.    d)   The error term has homoscedasticity. e)   All independent variables will be uncorrelated with the error term. ----------------------------------------------------------------------------------------------------------------------------------------------- ----------------------------------------------------------------------------------------------------------------------------------------------- 2) You test a model that...
True or False: ( ) Consider the model y=α1+β1x+u, where x is an endogenous covariate and...
True or False: ( ) Consider the model y=α1+β1x+u, where x is an endogenous covariate and z is a valid instrument for x. The model x=α2+β2z+u2 can be said to be a reduced-form equation for x. ( ) Valid instrumental variables are usually very difficult to find. ( ) 2SLS is (under certain assumptions) the most efficient IV estimator. ( ) The normal distribution of the error term is a crucial assumption for making inferences using the 2SLS estimator.
1. Consider regression through the origin, y=β1x1+β2x2+u, which of the following statements is wrong? a. The...
1. Consider regression through the origin, y=β1x1+β2x2+u, which of the following statements is wrong? a. The degree of freedom for estimating the variance of error term is n−2. b. The sum of residuals equals to 0. c. If the true intercept parameter doesn’t equal to 0, all slope estimators are biased. d. The residual is uncorrelated with the independent variable. 2. Which of the following statements is true of hypothesis testing? a. OLS estimates maximize the sum of squared residuals....
1. Suppose the variable x2 has been omitted from the following regression equation, y = β0...
1. Suppose the variable x2 has been omitted from the following regression equation, y = β0 + β1x1 +β2x2 + u. b1 is the estimator obtained when x2 is omitted from the equation. The bias in b1 is positive if A. β2<0 and x1 and x2 are positive correlated B. β2=0 and x1 and x2 are negative correlated C. β2>0 and x1 and x2 are negative correlated D. β2>0 and x1 and x2 are positive correlated 2. Suppose the true...
Question 1 Heteroskedasticity is a violation of which assumption of the multiple regression model? a) E(ei)...
Question 1 Heteroskedasticity is a violation of which assumption of the multiple regression model? a) E(ei) = 0 b) cov(ei, ej) = 0 where i≠j c) The values of each independent variable xik are not random d) var(ei) = σ2 Question 2 You have estimated a multiple regression model with 6 explanatory variables and an intercept from a sample with 46 observations. What is the critical value (or t-crit) if you want to perform a one-tailed t test at the...
Multiple regression model Consider a dataset for 500 students living in Melbourne with the following variables...
Multiple regression model Consider a dataset for 500 students living in Melbourne with the following variables measured in 2019 --- expenditure on public transport, ?E, measured in dollars; number of days he/she attended school, ?S; number of days not attended school, ??NS (which is equal to 365−?365−S); income, ?I, measured in dollars; and age in year, ?A. A researcher is interested in estimating the following model using Eviews: ??=?1+?2??+?3???+?4??+?5??+??Ei=β1+β2Si+β3NSi+β4Ii+β5Ai+ei. Without any further information, we know for sure that one assumption...
TRUE OR FALSE: 1. The sampling distribution of (X-bar) is always a normal distribution according to...
TRUE OR FALSE: 1. The sampling distribution of (X-bar) is always a normal distribution according to the Central limit theorem. 4. If the sampled population is a normal distribution, then the sampling distribution of   (X-bar is normal only for a large enough sample size. 5. If p=.8 and n=50, then we can conclude that the sampling distribution of the proportions is approximately a normal distribution. 8. Assuming the same level of significancea, as the sample size increases, the critical t-value...
1) Which of the following does not generally decrease the variance of the OLS estimator of...
1) Which of the following does not generally decrease the variance of the OLS estimator of slope βˆ1? a) Increasing the variance of the error term, b) Increasing the sample size, c) None of the above, d) Increasing the variance of the independent variable 2) If the independent variable is a binary variable then which of the following is true? a)β0 is a population mean for the group with a value of 1 for the independent variable, b) β1 is...
1. Management of a fast-food chain proposed the following regression model to predict sales at outlets:...
1. Management of a fast-food chain proposed the following regression model to predict sales at outlets: y = β0 + β1x1 + β2x2 + β3x3 + ε, where y = sales ($1000s) x1= number of competitors within one mile x2= population (in 1000s) within one mile x3is 1 if a drive-up window is present, 0 otherwise The following estimated regression equation was developed after 20 outlets were surveyed: = 12.6 − 3.6x1+ 7.0x2+ 14.1x3 Use this equation to predict sales...
Use the Excel output in the below table to do (1) through (6) for each ofβ0,...
Use the Excel output in the below table to do (1) through (6) for each ofβ0, β1, β2, and β3. y = β0 + β1x1 + β2x2 + β3x3 + ε     df = n – (k + 1) = 16 – (3 + 1) = 12 Excel output for the hospital labor needs case (sample size: n = 16) Coefficients Standard Error t Stat p-value Lower 95% Upper 95% Intercept 1946.8020 504.1819 3.8613 0.0023 848.2840 3045.3201 XRay (x1) 0.0386...