Question 2. During the 1930’s, there were a number of (commercial) bank failures. Please answer all of the following questions (a-f) a. What does it mean for a bank to fail (i.e. provide a definition for a bank failure). b. What actions do individuals take when banks begin to fail? c. What actions do commercial banks take when the rate of bank failures begins to rise? d. What effect did the actions of individuals (from part b) and banks (from part c) have on the money supply? Explain. e. The central bank advocated open market purchases. Would these purchases have reversed the change in the moneys supply? f. Describe the role of the central bank as “lender of last resort”. Question 3. Evaluate the following statement: “In the long run, an increase in the growth rate of the money supply leads to an increase in the real interest rate, but no change in the nominal rate.” (Tell me whether you think the statement is true or false, and then explain why in detail). Question 4. Please answer all three parts to this question. a. Write down the quantity equation, in both the level and the rates of change form. What do each of the terms represent? b. If the Bank of Canada wishes to maintain inflation at 2% per year, how can the bank use the quantity equation to achieve this goal? What assumption is made about the velocity of money? c. Does the Bank of Canada target the rate of growth of M1 (the money supply) or the inflation rate? Why? Question 5. Use this table to answer part (a) of question 5. Please answer both parts of this question which appear below the table. Table A Country Currency Currency per Canadian Dollar Canadian Price Index Country Price Index Bolivia Boliviano 8.00 100 700 Japan Yen 125.00 100 25,000 Morocco Dinar 10.00 100 1200 Norway Kroner 6.5 100 650 Thailand Baht 40.00 100 4000 a. Do all of the currency values in this table (Table A) satisfy the predictions of purchasing power parity? If not, which ones are over-valued, and which ones are under-valued? b. Do you think Purchasing Power Parity is a reasonable prediction for all goods? That is, when might PPP a good job of predicting prices, and what might prevent it from doing a good job of predicting prices. Question 6. In your own words, explain interest rate parity. Do we observe interest rate parity in the real-world data (e.g. between Canada and the United States)? Why or why not? Question 7. Use diagrams for the market for loanable funds and the market for foreign currency to describe what would happen to Net Capital Outflow, the Canadian Real Exchange Rate and Net Exports if the government budget deficit increases. Question 8. Explain how the relation between the real exchange rate and net exports explains the downward slope of the demand curve for foreign-currency exchange.

(Human Resource Management)

The use of social media for recruitment and selection is a very current issue in Human Resources. Provide in detail a list of pros and cons for its use for both recruitment and selection purposes in 200 words or less.

Given your answers to the empirical section of this problem set (the new policies are Fed cuts rate to zero, launches more bond purchases in historic moves to fight coronavirus), what should we expect to see with aggregate output in the U.S.? With unemployment? Inflation? Illustrate your answers using a graph.

Describe how the U.S. economy would go back to its medium run equilibrium once COVID-19 is controlled. Illustrate your answer using a graph

Section 6.9 of your textbook ("Debugging") lists three possibilities to consider if a function is not working.

Breaking a large program into smaller functions creates natural check points for debugging. If a function is not working, there are three possibilities to consider:
• There is something wrong with the arguments the function is getting; a precondition is violated.
• There is something wrong with the function; a postcondition is violated.
• There is something wrong with the return value or the way it is being used.

1. Describe each possibility in your own words.

2. Define "precondition" and "postcondition" as part of your description.

3. Create your own example of each possibility in Python code. List the code for each example, along with sample output from trying to run it.

A national newspaper reported that the state with the longest mean life span is Hawaii, where the population mean life span is 74 years. A random sample of 20 obituary notices in the Honolulu Advertizer gave the following information about life span (in years) of Honolulu residents.

(i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)

(ii) Assuming that life span in Honolulu is approximately normally distributed, does this information indicate that the population mean life span for Honolulu residents is less than 74 years? Use a 5% level of significance.

(a) What is the level of significance?


State the null and alternate hypotheses.

H₀: μ = 74 yr; H₁: μ > 74 yrH₀: μ = 74 yr; H₁: μ < 74 yr    H₀: μ = 74 yr; H₁: μ ≠ 74 yrH₀: μ > 74 yr; H₁: μ = 74 yrH₀: μ < 74 yr; H₁: μ = 74 yr

(b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution.

The Student's t, since we assume that x has a normal distribution and σ is unknown.The standard normal, since we assume that x has a normal distribution and σ is known.    The standard normal, since we assume that x has a normal distribution and σ is unknown.The Student's t, since we assume that x has a normal distribution and σ is known.

What is the value of the sample test statistic? (Round your answer to three decimal places.)


(c) Estimate the P-value.

P-value > 0.2500.100 < P-value < 0.250    0.050 < P-value < 0.1000.010 < P-value < 0.050P-value < 0.010

Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

At the α = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant.    At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e) Interpret your conclusion in the context of the application.

There is sufficient evidence at the 0.05 level to conclude that the population mean life span of Honolulu residents is less than 74 years.There is insufficient evidence at the 0.05 level to conclude that the population mean life span of Honolulu residents is less than 74 years.    

what is a positive use of the Dark Web? Use at least 1 outside resource to strengthen your point. Would this action have been possible without the Dark Web? Are there any risks involved?

This only needs to be about 3/4 of a page, double-spaced. Simply include your source as a web link.

Keynes wrote in The General Theory: “If we speak frankly, we have to admit that our basis of knowledge for estimating the yield ten years hence of a railway, a copper mine, a textile factory … amounts to little and sometimes to nothing”. Keynes was not talking about periods of economic turmoil or crisis like that we are experiencing now, when confusion about what happens next is obvious to all. In Keynes’ view, a state of “near ignorance” was the normal state of affairs.

Please discuss Keynes’ concept of “uncertain” knowledge and what it may imply for our ability to (a) measure risk in portfolios of financial assets and to (b) make “rational” investment decisions.

Suppose frank has estimated a cross sectional regression model for demand for gasoline by state: PCONi = 389.6 + 60.8 UHMi - 36.5TAXi - 0.061REGi T Stat : 5.92 -2.77 -1.43 N =50 R2 = .919 Where: PCONi = petroleum consumption in the ith state (trillions of BTUs). UHMi = urban highway miles within the ith state. TAXi = the gasoline tax rate in the ith state (cents per gallon). REGi = motor vehicle registration in the ith state (in thousands)

a. What do you expect the signs of the explanatory variables to be? Explain why.

b. According to the estimated equation, motor vehicle registrations variable is insignificant and it has a negative sign. Does this make sense to you? Why or why not. Explain carefully.

c. Suppose the simple correlation coefficient between REG and UHM is 0.98. What do you infer from that? In light of this added information, what, if anything you would do and why? What would you expect to find?

d. What is VIF? (Not related to above)

e. What is heteroschedasticity? (Not related to above)

The opiates can be considered as “Jekyll and Hyde” drugs because on one hand they can be used therapeutically for a number of conditions especially pain management and on the other this class of drugs are amongst the most dangerous and addictive drugs in existence. Describe in detail the positive and negative aspects of the use of this class of drugs. Your answer should include the mechanism of action of these drugs, their therapeutic and their abusive uses, their addictive properties and strategies for dealing with opiate addiction and overdose.