Diversification. Helen has of her portfolio in U.S.stocks, of her portfolio in European stocks, and of her portfolio in Japanese stocks. The remainder is invested in municipal bonds. What fraction of her portfolio is invested in municipal bonds? What percent is invested in municipal bonds?
Net worth. Melanie's house is worth $125,000, but she still owes $78,422 on her mortgage. She has $21,236 in a savings account and has $9,477 in credit card debt. She owes $6,131 to the credit union and figures that her cars and other household items are worth a total of $15,000. What is Melanie's net worth?
Population of Mexico. In 2004 the population of Mexico was 106.5 million. If Mexico's population continues to grow at an annual rate of 1.43%, then the population in 2015 will be million.
a) Find the predicted population in 2015 to the nearest tenth of a million people.
b) Use the result of Exercise 125 (see below) (Result: a. 330.2 million) to determine whether United States or Mexico will have the greater increase in population between 2004 and 2015.
Forensics. A forensic scientist uses the expression 72.6 + 2.5T to estimate the height in centimeters of a female with a tibia of length T centimeters. If a female skeleton has a tibia of length 32.4 cm, then what was the height of the person? Find the length of your tibia (use a random value to solve it) in centimeters, and use the expression from this exercise or the previous exercise to estimate your height.
Crop circles. The expression gives the area of a circle with radius r. How many square meters of wheat were destroyed when an alien ship made a crop circle of diameter 25 meters in the wheat field at the Southwind Ranch? Find on your calculator.
Recovering golf balls. Susan and Joan are diving for golf balls in a large water trap. Susan recovers a golf ball every 0.016 hour while Joan recovers a ball every 0.025 hour. If both are working, then at what rate (in golf balls per hour) are they recovering golf balls?
Farmland conversion. The amount of farmland in the United States is decreasing by one acre every 0.00876 hours as farmland is being converted to nonfarm use (American Farmland Trust, www.farmland.org). At what rate in acres per day is the farmland decreasing?
Section 1.8- Page 70
Marriage penalty eliminated. The value of the expression
3910 + 0.25 (x - 28,400)
is the 2003 federal income tax for a single taxpayer with taxable income of x dollars, where x is over $28,400 but not over $68,800.
a) Simplify the expression.
b) Find the amount of tax for a single taxpayer with taxable income of $40,000.
c) Who pays more, a married couple with a joint taxable income of $80,000 or two single taxpayers with taxable incomes of $40,000 each?
There are about 8 problems about Percentage, fraction and growth rates. Step by step explaination is provided sothat student is able to understand the concepts.
Fixed model - Robust Regression Interpretation of results
This problem employs a dataset on labor markets in 23 OECD countries for the years 1980 to 1998.
The variables used in the analysis (followed by descriptive statistics) are:
1. Productivity index [prod] = An index measuring country i's economic output (GDP) per hour worked in year t, normalized such that each country's index = 100 in 1995.
2. Unemployment rate [unr] = The total number of unemployed workers in country i and year t divided by the total number of labor force participants in that country and year, multiplied by 100.
3. Union density [ud] = The ratio of total reported union members (minus retired and unemployed members) in country i and year t to the total number of employees earning wages or salaries in that country and year, multiplied by 100.
4. Public sector growth [gempl] = The one-year percentage growth (from year t-1 to year t) in public sector employment in country i (measured as a proportion, 0 to 1).
5. USD exchange rate growth [usd]: The one-year percentage growth (from year t-1 to year t) in the value of country i's currency relative to the US dollar (measured as a proportion, 0 to 1).
6. Labor force (1K) [lf]: The total number of labor force participants in country i and year t, in thousands.
1. While there are no missing years in the dataset, there are missing observations for some of the variables.
a. If there were no missing values for any variables, how many observations (country-years) would there be for every variable in the summary table of descriptive statistics presented above?
b. Given the number of observations for each variable shown in the summary table, knowing there are no missing years in the data, and knowing that Stata regression drops a case when there are any missing values for any variable for a given country in a given year, what is the maximum number of countries that can be used in a regression analysis (assuming nothing is done to replace missing values)?
c. Given that there are 19 years of data in the regression analyses presented in Table 1, how many countries were used in the analyses?
d. Could we estimate the effect of usd on prod with FE if the value of every country's currency (relative to the US dollar) remained the same over the sample time period? Why or why not? Please answer in 2-3 sentences.
2. Write the general equations for the specifications in columns (1) and (2). Use lowercase b for the regression coefficients and, where appropriate, a to indicate fixed effects and/or T to indicate time effects. Use the variable names presented in brackets [ ] on the prior page, and use subscripts as appropriate. You do not have to include an error term.
3. Using the models estimated without time effects, interpret:
A. The effect of a 5-percentage-point increase in union density.
B. The effect of a 10-percent increase in the growth of the public sector.
4. Compare the specifications with time effects to those without time effects. What do the differences in the statistically significant coefficients imply about the time effects? Note that the time effects are jointly statistically significant with a p-value of 0.00. Please answer in 2-3 sentences.
Table 2 presents results of a study of the effect of differences in the fraction of new immigrants on crime rates in U.S. metropolitan area (MA's) over nine years.
a. Write the general equation for the regression in column 2. Use β for the regression coefficients (not the actual numbers in column 2), use the variable names presented in the table in brackets [ ], and use subscripts as appropriate. If appropriate, use MA and T as fixed effects.
b. Using the results in column 2:
i. Ignoring significance, what is the effect of a twenty (20 percentage point or .2 fraction) increase in new immigrants on the overall crime rate?
ii. Form a 95% confidence interval around the effect you've just calculated.
c. Two parts:
i. In what two ways does the coefficient on Fraction of new immigrants [IMM] differ between columns 1 and 2?
ii. Why does it differ and what does this indicate about the estimates in columns 1 and 2?
d. Using the results in column 2: For an MA with 10% (.10 fraction) Hispanic population, what is the effect of a one percentage point (.01 fraction) increase in the percent female on the metropolitan crime rate?
e. Using the results in column 2, what is the effect of a one percent increase in population of an MA on the overall crime rate of the MA?
f. Two parts:
i. What hypotheses do the p values for F's in column 2 at the bottom of the table test? (Hint: There are two different p values (F's) and thus two different hypotheses.)
ii. What do you conclude from the tests?
Regression coefficients: Log metropolitan area (MA) overall crime rate (CR) on various variables
Source: Calculations from Current Population Surveys (CPSs) and Uniform Crime Reports (UCR)
Notes: Robust Standard errors are parentheses and constant included but not shown.
~ p-value from an F-test
z: "Fraction" varies from 0 to 1 and differs in measurement from percent, which varies from 1 to 100.