During the 1990’s and 2000’s many public intellectuals, including economists, predicted that specialization according to comparative advantage would increase the standard of living both in the United States and in the countries with which it traded.

Discuss the benefits and costs of trade with China at the individual and national levels.

An increase in Money Supply will decrease the interest rate and increase the level of inflation in the domestic market

...An increase in Money Supply will decrease the interest rate and decrease the exchange rate (the rate at which currencies can be traded for one another)

I can't understand. Please explain this with a diagram.

All the following statements are true for ADRs except: a. they are registered foreign securities traded in the U.S. b. they are taxable securities c. they always trade at a discount or premium over their original securities adjusted for exchange rates d. they depend on exchange rate movements in addition to other factors.

With the aid of supply and demand diagrams demonstrate that any effective price controls (i.e., either price ceilings below the equilibrium price, or else price floors above the equilibrium price) in a competitive market will reduce the actual quantity that can be traded (i.e. bought and sold) in that market.

The price of a three-month future contract on the S&P 500 index is traded at 2355. Use a 9 step binomial tree model to value an American put on the future contract assuming K=2400, r=1%, s=15%. The price of the American put option is ___________.

The price of a three-month future contract on the S&P 500 index is traded at 2355. Use a 9 step binomial tree model to value an American put on the future contract assuming K=2400, r=1%, s=15%. The price of the American put option is ___________.

It is estimated that an average of 30 customers will arrive at an Airport check-in counters per hour.

a) Let X be the number of customers arrive at the counter over three hours. What is the distribution of X?

b) Let X be the number of customers arrive at the counter over three hours. How many customers would you expect in three hours?

c)What is the probability of 3 customers arriving within 10 mins? State the appropriate distribution and any parameter values. Write the probability statement and show your work in order to solve the problem.

d) Let Y represent the amount of time between the 1st customer arrive and the 10th customer arrive. What is the expected value of Y?

e) If the amount of time between two customers arriving is less than a minute, the airport will open extra counters. What is the probability that the airport will open extra counters? State the appropriate distribution and any parameter values.

I need help on c, d, and e in particular. Please explain these parts in detail and show your work.

1. A new restaurant keeps track of the number of nightly customers at monthly intervals over the course of a year. The restaurant has done very little advertising; most of its publicity is by word of mouth but its number of customers is increasing. The restaurant does not have a seasonal difference in number of customers (for example, no summer crowds).

1. Using the data below, fit each an exponential regression model to the data using Excel.

1. Write down your regression equation.

2. Enter the regression equation into your calculator and use the table feature to estimate when the restaurant will have 400 people.

3. What does the model predict about the number of customers in 18 months?

4. What does the model predict as time goes on? For example how many customers will be at the restaurant in 300 months (25 years), is this reasonable?

5. What is the growth rate of your regression equation? Find and interpret it.

Consider the two variables service quality and customer satisfaction. Service quality is independent variable and customer satisfaction is dependent variable. Perform regression analysis using SPSS and explain the results. PLEASE USE SPSS ONLY AND PASTE THE OUTPUT OF SPSS. DO NOT USE EXCEL OR ANY OTHER SOFTWARE. SPSS ONLY PLEASE. SERVICE QUALITY CUSTOMER SATISFACTION