Short-Essay Questions: Example of a short essay question 1: Suppose you are interested in studying the...
Short-Essay Questions:
- Example of a short essay question 1: Suppose you are interested in studying the variables that affect an individual’s decision to vote or not to vote. Think of an independent variable that might predict the likelihood of individual voting or not voting. What are some rival explanations for voting or not voting that you might need to rule out?
Homework Answers
The most important socioeconomic factor affecting voter turnout is education. The more educated a person is, the more likely they are to vote, even controlling for other factors that are closely associated with education level, such as income and class.
key public influences include the role of emotions, political socialization, tolerance of diversity of political views and the media.
Independent variable- death in family.
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Short-Essay Questions:
Example of a short essay question 1: Suppose you are interested
in studying the...
1. Throughout this question, assume that you are one of only three voters. Suppose voters are...
1. Throughout this question, assume that you are one of only three voters. Suppose voters are only concerned with the quality of candidates. In particular, let q R L be the difference in quality between candidate R and candidate L. There is no cost of voting and the utility is equal to one if the higher quality candidate wins and zero otherwise The winner is determined by majority rule. When q is observable, each voter votes for the higher quality...
D | Question 13 13.8 pts Suppose you are interested in studying the determinants of housing...
D | Question 13 13.8 pts Suppose you are interested in studying the determinants of housing prices. You intend to use the following simple regression model: Where "sqft is the square footage of home . Suppose that you have omitted a key explanatory variable "number of bath rooms 1. The omitted variable "number of bathrooms" is "sqft"? 2. The effect of "number of bathrooms" is (positively/negatively) related to (positively/negatively) impacting housing price 3. The simple regression model of estimated B.1...
Section 1 A) Suppose you are interested in studying the relationship between the number of books...
Section 1 A) Suppose you are interested in studying the relationship between the number of books that college students read per month and their first monthly wage after graduation. Employing random sampling process, you collect a large set of data {(nbooks,, wage ), i = 1, ... , n} for these variables and observe the following pattern: a correct nbooks wage nbooks = nbooks 1 1000 2 1050 3 1102.5 4 1157.625 5 1215.506 6 1276.282 7 1340.096 1407.1 9...
Suppose you are interested in estimating how health affects productivity. Specifically, you are interested in the...
Suppose you are interested in estimating how health affects productivity. Specifically, you are interested in the following regression: where Y, is a variable representing the income earned by person i, and X, is a variable representing the health of person i. Income is a fairly straightforward concept to capture. Health, however, is a more complex concept that can be measured in many different ways. For example, body mass index (BMI weight in kilograms, divided by height in meters squared) is...
Suppose you are interested in estimating how health affects productivity. Specifically, you are interested in the...
Suppose you are interested in estimating how health affects
productivity. Specifically, you are interested in the following
regression:
where Yi is a variable representing the income earned by person
i, and Xi is a variable representing the health of person i.
Income is a fairly straightforward concept to capture. Health,
however, is a more complex concept that can be measured in many
different ways. For example, body mass index (BMI - weight in
kilograms, divided by height in meters squared)...
Suppose you are interested in understanding the causal impact of having an MBA (versus just an un...
Suppose you are interested in understanding the causal impact of having an MBA (versus just an undergraduate degree in business) on earnings. To this end, you estimate a regression of the following form: EARNINGS = 55679 + 27809(MBA) Write out the causal question/relationship that is implied by the above equation. The estimated coefficient above suggests that individuals with an MBA earn $27,809 more than those with just a business undergraduate, on average. Give an example of how omitted variable bias...
I am expecting a paragraph-length post for these short answer questions. Generally the question will require you to answ...
I am expecting a paragraph-length post for these short answer questions. Generally the question will require you to answer a question and back it up with some kind of explanation. Question: The San Francisco Bay Area has not had a large (>6.0 magnitude) earthquake in 30 years. While another large quake is inevitable it is impossible to say when the next one will hit. There was a 68-year quiet period from 1911-1979 for example. Why do you think earthquakes are...
Part 1-Please answer the following essay questions 1. We discussed the advantages and disadvantag...
Part 1-Please answer the following essay questions 1. We discussed the advantages and disadvantages of internal recruiting, interviews and reference checks (and the entire hiring process). Please identify ONE disadvantage of each of these three activities -- and explain why you believe they are "disadvantages." 2. Choose ONE interview question listed below and answer it on paper as if it was being asked of you in a face-to-face interview. Please identify the Interview Question #. Details, details, details are necessary...
1.You are interested in estimating the effects of owning a tablet (such as an iPad) on...
1.You are interested in estimating the effects of owning a tablet (such as an iPad) on the grades of high school students (the idea is that owning a tablet might help students take notes and study more effectively). You have data on tablet ownership and GPA for a sample of 1000 students. You wish to estimate this model: GPA=B0+B1tablet+u where GPA is the student's grade point average measured on a scale of 0-4, and tablet is a dummy variable that...
Problem: You are interested in factors that predict the salaries of catwalk models. You collected...
Problem: You are interested in factors that predict the salaries
of catwalk models. You collected data from 231 models (attached
SPSS data file: supermodel_1.sav). For each model, you asked:
salary per day in dollars (on days when working (variable:
salary_2), age (variable: age), and how many years they have worked
as a model (variable: years). You also got a panel of experts from
various modeling agencies to rate the attractiveness of each model
as a percentage, with 100% being perfectly...
1. Throughout this question, assume that you are one of only three voters. Suppose voters are only concerned with the quality of candidates. In particular, let q R L be the difference in quality between candidate R and candidate L. There is no cost of voting and the utility is equal to one if the higher quality candidate wins and zero otherwise The winner is determined by majority rule. When q is observable, each voter votes for the higher quality...
D | Question 13 13.8 pts Suppose you are interested in studying the determinants of housing prices. You intend to use the following simple regression model: Where "sqft is the square footage of home . Suppose that you have omitted a key explanatory variable "number of bath rooms 1. The omitted variable "number of bathrooms" is "sqft"? 2. The effect of "number of bathrooms" is (positively/negatively) related to (positively/negatively) impacting housing price 3. The simple regression model of estimated B.1...
Section 1 A) Suppose you are interested in studying the relationship between the number of books that college students read per month and their first monthly wage after graduation. Employing random sampling process, you collect a large set of data {(nbooks,, wage ), i = 1, ... , n} for these variables and observe the following pattern: a correct nbooks wage nbooks = nbooks 1 1000 2 1050 3 1102.5 4 1157.625 5 1215.506 6 1276.282 7 1340.096 1407.1 9...
Suppose you are interested in estimating how health affects productivity. Specifically, you are interested in the following regression: where Y, is a variable representing the income earned by person i, and X, is a variable representing the health of person i. Income is a fairly straightforward concept to capture. Health, however, is a more complex concept that can be measured in many different ways. For example, body mass index (BMI weight in kilograms, divided by height in meters squared) is...
Suppose you are interested in estimating how health affects
productivity. Specifically, you are interested in the following
regression:
where Yi is a variable representing the income earned by person
i, and Xi is a variable representing the health of person i.
Income is a fairly straightforward concept to capture. Health,
however, is a more complex concept that can be measured in many
different ways. For example, body mass index (BMI - weight in
kilograms, divided by height in meters squared)...
Problem: You are interested in factors that predict the salaries
of catwalk models. You collected data from 231 models (attached
SPSS data file: supermodel_1.sav). For each model, you asked:
salary per day in dollars (on days when working (variable:
salary_2), age (variable: age), and how many years they have worked
as a model (variable: years). You also got a panel of experts from
various modeling agencies to rate the attractiveness of each model
as a percentage, with 100% being perfectly...
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