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- Imagine you are an economist working for the Government of Econville. You are tasked with developing a model to predict the GDP of the country based on various factors such as interest rates, inflation, unemployment rate, and population growth. You collect quarterly data for the past 20 years and start building your model. After running your initial regression, you notice some peculiar patterns in the residuals: (1) residuals do not have identical variances across different levels of the independent variables; (2) two or more independent variables in a regression model are highly correlated with each other; (3) the correlation of a variable with its own past values. You suspect that your model might be suffering from 3 potential issues in the regression analysis that can affect reliability and validity. List 2 factors in your model that might be causing the Heteroscedasticity and give a reasonExplain why in every econometric model there must be an error term, explain its function.Imagine you are an economist working for the Government of Econville. You are tasked with developing a model to predict the GDP of the country based on various factors such as interest rates, inflation, unemployment rate, and population growth. You collect quarterly data for the past 20 years and start building your model. After running your initial regression, you notice some peculiar patterns in the residuals: (1) residuals do not have identical variances across different levels of the independent variables; (2) two or more independent variables in a regression model are highly correlated with each other; (3) the correlation of a variable with its own past values. You suspect that your model might be suffering from 3 potential issues in the regression analysis that can affect reliability and validity. Based on Addressing Heteroscedasticity list one test you would employ to test this potential issue?
- M7Write 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.Question 8/27 With Logit model, an estimated econometric model has information as follows: Dependent variable is the probability to be in the labor force (inlbforce): Inlbforce: =1 if being in the labor force; 2 independent variables: Age: age in years; Educ: education level; Kids6: number of kids less than 6 years old. All indep variables are statistically significant. The estimated coefficient of Age equals -0.035; The estimated coefficient of Edh equals 0.0261; The estimated coefficient of Kids6 equals -0.103; Intercept coefficient equals-1.283 The right value of z when age = 45, educ = 13, kids6 = 2 equals: O -2.7247 O -3.7256 O 3.7247 Go to question * PREVIOUS NEXT > AddressQuestion 7 1) Listen Cities often want to determine how much additional law enforcement will decrease their murder rates. A simple model with cross-section data at the provincial level to address this question is (1) murdpc-Bo+Bipolpc+Bzincpc+Bapvty+u where murdpc is murders per capita, polpc is number of police officers per capita, incpc is income per capita and pvty is the percent of people in the city that are below a poverty line and u is the error term. Suppose that the supply of polpc is a function of murdpc described by the following equation (2) polpc=6o+8ımurdpc+5zincpc+53stax+v where stax is the percent of sales tax in the province in which the city is located and v is the error term. The reduced form equation of murdpc is a regression model of this variable as a function of the following variables plus an error term incpc, stax O incpc, stax, pvty O none of the other answers are correct O stax, pvty O incpc, pvty
- An increase in meat prices coincides with an increase in rainfall is an associative relationship the statement above is true/false?Consider the following Model (notation is standard):C=c(y-τ) I=i(r) y = C+I+G Md/P = L(y, r) Md= Ms=My = f(n) n = h(W/P) f´(n) = W/P Calculate the effects of a change in τ on C, I, r, y and P.5. Choose the correct answer!