In general, what is true about the relationship between the Sum of Squared Residuals in the restricted and unrestricted model?   a. SSRr = R-squared * SSRur   b. SSRr < SSRur   c. SSRr > SSRur

Write first-order model relating E(y) to four quantitative independent variables.

Econometrics   Thomas Eisensee and David Stromberg wanted to measure how much news coverage of a foreign disaster impacted the amount of disaster relief provided by the U.S. government. They argue that the simple relationship would be biased.   Let X = Minutes of News Coverage and Y= Disaster Aid. Choose a variable X2 that could bias the simple relationship. This variable should impact the amount of coverage and impact the amount of aid for reasons other than purely news coverage.    Eisensee and Stromberg introduce an instrument Z = During the Olympics. Explain how Z could satisfy the relevant and exogenous criteria.    Explain how you could use Z to estimate the impact of X on Y free from X2 bias. Hint: you should mention two stages.

Suppose the researcher considers the following model : Wage = Bo+B,Female + u, and runs OLS, using wage data on 250 randomly selected male workers and 280 female workers. The researcher has obtained the estimated equation as Wage = 15 (1.00) 3 Female, R = 0.05. (0.5) In the equation, Wage is measured in dollars per hour, Female is a binary variable that is equal to 1 if the person is a female and O if the person is a male. The numbers in the parentheses are the standard errors of the coefficients. Which Statement is NOT correct? The coefficient of Female, -3.00, is statistically significant at 5%. O The p-value for the test that Ho: B = 0, H : B 0 is less than 0.05. This regression may suffer omitted variable bias. R Since insignificant. is too low, the wage difference between men and women is The researcher can increase R- by including more regressors in the model.

With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct:     The Fixed Effects estimator is not consistent.     Both the OLS and the Random Effects estimators are not consistent.     The OLS estimator is not consistent, but the Random Effects estimator is consistent.     The OLS and the Random Effects estimator are consistent.     All of the above.     None of the above

Consider the following formula: y i - ( β 0 ^ + β 1 ^ x i ) . What does this formula describe?     OLS slope estimator     Error term     Causal effect of x on y     residual

Using a sample of recent university graduates, you estimate a simple linear regression using initial annual salary as the dependent variable and the graduate's weighted average mark (WAM) as the explanatory variable. If the regression model has an estimated intercept of 3200 and an estimated slope coefficient of 550, what is the predicted starting salary of a student with a WAM of 69? Answer:

number 1 please