Consider the following summary statistics of the variables x, y and z var(x) = 2.4, var(y)=3.2, var(z) =1.1 cov(x,y) = 3.1, cov(x,z) = 4.2, cov(y,z) = 8 What is the instrumental variable (IV) estimator of the effect of x on y when you use the variable z as an instrumental variable?

Find x for the following equation. In (x+4) + In 2 = 2 In x (Type an integer or a fraction. Use a comma to separate answers as needed.)

U t of estion English (en) Variable Y 24 20 16 12 8 4 O a. y = 8 - 2x. O b. x = 8 + 0.5y. O c. y = 8 + 2x. O d. (3) y = 8 + 0.5x. (1) + + 0 2 4 6 8 10 12 14 16 18 Variable X The linear equation for line (1) on the provided graph is (2)

True/ false (6-8) 6. Two variables that have a positive correlation move in the same direction. True/ False 7. The concept of slope can be used to answer questions about how much one variable responds to changes in another variable. True/ False 8. The slope of a line is equal to the change in the x-variable divided by the change in the y-variable. Trie/ False hp & 7 8 9. 5.

For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship.   Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled “ ice-cream" and Y-axis should be labeled "The temperature". Relationship options: positive, negative Line options: A, B, C, D   True or False: Line D has a slope of infinity.

Use a software of your own choice to calculate the daily log prices (lp) and daily log returns (Ir) i. Examine the descriptive statistics of both lp and Ir. What do you conclude about the distributions of lp and Ir? Is lp normally distributed? Is Ir normally distributed? Obtain the correlograms, and examine the autocorrelations and partial autocorrelations for both lp and Ir. What do you conclude about the behaviour of lp and Ir? Are they stationary/non-stationary? ii. iii. Are your conclusions about stationary/non-stationary of lp and lr confirmed by appropriate unit root tests?

How can we say that Sample Average is the Efficient Linear Estimator of E(Y)?

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.

How would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanks

5. (26 points) The following two equations were estimated using a sample of births for the year 2010. The variable bwght is birth weight, in ounces, faminc is annual family income, in thousands of dollars, cigs is number of cigarettes the mother smoked per day while pregnant, motheduc is mother's education (in years), and fatheduc is father's education (in years): log (bŵght) = 4.73+ 0.146 log( faminc) - (0.03) (0.076) n=1,191 R² = 0.264 0.031 cigs (0.016) (5.1) log (bŵght) = 4.73+ 0.136 log( faminc) - (0.03) (0.076) - 0.051 cigs (0.010) 0.040 motheduc+ 0.041 fatheduc (0.030) n=1,191 R² = 0.286 (0.026) (5.2) (a) In terms of the model parameters, (i) state the null hypothesis that, after controlling for faminc, motheduc, and fatheduc, cigs has no effect on birth weight against the alternative that cigs has a negative effect; and (ii) carry out the test at the 10% significance level (4 points). (b) Controlling for cigs, is faminc individually significant at the 1% level against a two-…