This exercise refers to the drunk driving panel data regression, summarised in Table 10.1 on pages 31 and 32 of the Lecture 8 slides.Suppose you are interpreting the estimated coefficient on Real Income Per Capita (Income) as the causal effect on Traffic Fatality Rate. Choose the correct statement: a. According to column (3), the true model must not include Income in the analysis. b. According to column (4), when Income increases by $1, the number of fatalities would increase by 1.82 deaths per 10,000 but the prediction is not statistically significant. c. According to column (5), when Income increases by $1, the number of fatalities would increase by 0.09 deaths per 10,000 but the prediction is not statistically significant. d. According to column (6), when Income increases by 1 percent, the number of fatalities would increase by 0.0179 deaths per 10,000 and the prediction is statistically significant. e. According to column (7), when Income increases by 1 percent, the number of fatalities would increase by 0.01 deaths per 10,000 and the prediction is statistically significant.

This exercise refers to the drunk driving panel data regression, summarised in Table 10.1 on pages 31 and 32 of the Lecture 8 slides.Arizona has a population of 7.28 million people. Suppose that Arizona increased the tax on a case of beer by $2 (in 1988 dollars). Use the results in column (6) to predict the number of lives that would be saved over the next year (two decimal places).

True or False: In Florida, the number of alcohol-related traffic deaths increased in 2008 compared to 2007.TrueFalse

Questions 1-4 are based on the following scenario:700 income-earning individuals from a district were randomly selected and asked whether they were employed by the government (Gov = 1) or failed their entrance test (Gov = 0); data were also collected on their gender (Male = 1) if male and = 0 if female) and their years of schooling (Schooling, in years). The following table summarizes several estimated models. (Standard errors are in parentheses).Choose the correct statement: a. The large difference between the estimates in column (1) and the ones in column (2) implies that predicted probabilities would be highly sensitive to whether the Logit model is employed or the Probit model is employed. b. Column (1) suggests that the government would hire a job candidate with 16 years of education with 24.5% probability, i.e., 0.245 = 0.272 X 16 - 4.107. c. Column (2) suggests that the government would hire a job candidate with 16 years of education with 67.0% probability, i.e., 0.670 = 0.551 X 16 - 8.146. d. Column (3) suggests that the government would hire a job candidate with 16 years of education with 38.8% probability, i.e., 0.388 = 0.035 X 16 - 0.172. e. Column (4) suggests that the government would not hire anyone because the estimated coefficients are all negative.

The percentage of highway deaths caused by drunken persons is about:Options: 10% 25% 50% 67%

Identify the error in the sample annotated bibliography entry.Harmon, Danica. At What Cost?This memoir, written by a mother who lost her teenage son to a drunk driver, shares an emotional story of the human toll of drunk driving. Besides its powerful narrative, it includes statistics that demonstrate the increased incidence of drunk driving accidents involving drivers between the ages of 21-26, which supports my thesis that the legal drinking age should be raised. Harmon is obviously a biased author, but her bias is rooted in experience and she provides evidence of the cost of leaving the legal drinking age at 21.a.)An extended analysis of the source's argument should be added.b.)The bibliographic information for the source is incomplete.c.)A list of quotations from the source that the writer is planning to use in the essay should be included.d.)A judgement about the source's value with respect to its bias, timeliness, or reliability is missing.