Questions
Use this information to determine your economy’s original AEP, AP, and IS curve. C=500-10r+0.9YD Ip=250-40r G=390...

Use this information to determine your economy’s original AEP, AP, and IS curve.

C=500-10r+0.9YD

Ip=250-40r

G=390

T=100+0.1Y

X=600

M=400+0.06Y

  1. Use the four graphs we developed in class to determine the IS curve for this economy with r=0 and r=5. Show how the following change would affect this economy. You need to determine what has changed in the economy, what parts of the economy it affects, and how it changes the IS curve. Be sure to address any shifts as well as changes in slopes that may occur. You must show these changes mathematically, graphically, and then describe these changes verbally.
    1. M = 400+0.01Y
  2. Now, what happens to the economy when this change occurs? Return to your original equations. Suppose Consumers decide that credit is a good way to finance their expenditures on durables, so they become more interest sensitive, C=500-50r. Determine what has changed in the economy, what parts of the economy it affects, and how it changes the IS curve. Be sure to address any shifts as well as changes in slopes that may occur. Show these changes mathematically and graphically.

this is a two part answer please help :)

In: Economics

Estimate how many deaths there are annually from tornado and drowning in the United States. Provide...

Estimate how many deaths there are annually from tornado and drowning in the United States. Provide an actual number in your answer and explain statistically how you came to that answer.

Info:

DROWNINGS:

From 2005-2014, there were an average of 3,536 fatal unintentional drownings (non-boating related) annually in the United States — about ten deaths per day.1 An additional 332 people died each year from drowning in boating-related incidents.

TORNADOS:

Year tornado deaths
1875 183
1876 51
1877 64
1878 102
1879 85
1880 256
1881 73
1882 200
1883 292
1884 252
1885 58
1886 129
1887 60
1888 48
1889 32
1890 244
1891 36
1892 114
1893 294
1894 124
1895 30
1896 537
1897 60
1898 162
1899 227
1900 101
1901 52
1902 157
1903 216
1904 87
1905 184
1906 70
1907 80
1908 477
1909 404
1910 12
1911 55
1912 175
1913 346
1914 41
1915 84
1916 150
1917 551
1918 136
1919 206
1920 499
1921 202
1922 135
1923 110
1924 376
1925 794
1926 144
1927 540
1928 95
1929 274
1930 179
1931 36
1932 394
1933 362
1934 47
1935 71
1936 552
1937 29
1938 183
1939 91
1940 65
1941 53
1942 384
1943 58
1944 275
1945 210
1946 78
1947 313
1948 139
1949 211
1950 70
1951 34
1952 230
1953 519
1954 36
1955 129
1956 83
1957 193
1958 67
1959 58
1960 46
1961 52
1962 30
1963 31
1964 73
1965 301
1966 98
1967 114
1968 131
1969 66
1970 73
1971 159
1972 27
1973 89
1974 366
1975 60
1976 44
1977 43
1978 53
1979 84
1980 28
1981 24
1982 64
1983 34
1984 122
1985 94
1986 15
1987 59
1988 32
1989 50
1990 53
1991 39
1992 39
1993 33
1994 69
1995 30
1996 25
1997 67
1998 130
1999 94
2000 41
2001 40
2002 55
2003 54
2004 35
2005 39
2006 67
2007 81
2008 126
2009 21
2010 45
2011 553
2012 70

In: Statistics and Probability

Assume you are a Data Analyst in an international economic consultancy firm. Your team leader has...

Assume you are a Data Analyst in an international economic consultancy firm. Your team leader has given you a research task to investigate the empirical relationship between China’s export volumes and per capita GDP (Gross Domestic Product).
Relevant Variables: China’s Export volume index and China’s GDP per capita (constant 2010 US$).
(Annual time series data (for the period 1980 – 2018) from the World Bank - World development indicators database)
The data are stored in the file named “ASSIGNMENTDATA.XLSX” in the course website. Using EXCEL, answer below questions:
1. Using an appropriate graphical descriptive measure (relevant for time series data) describe the two variables (1 mark)
2. Use an appropriate plot to investigate the relationship between Export volume index and GDP per capita. Assume Export volume index as an independent variable. Interpret the plot.
3. Prepare a numerical summary report about the data on the two variables by including the summary measures, mean, median, range, variance, standard deviation, coefficient of variation, smallest and largest values, and the three quartiles, for each variable.
4. Calculate the coefficient of correlation (r) between Export volume index and GDP per capita. Then, interpret it.
Page 3 of 4

5. Estimate a simple linear regression model and present the estimated linear equation. Then, interpret the coefficient estimates of the linear model.
6. Determine the coefficient of determination R2 and interpret it.
7. Test whether GDP per capita positively and significantly increases with
export volume index at the 5% significance level.
8. What is the value of the standard error of the estimate (se). Then,
comment on the fitness of the linear regression model? (1 mark)

Country Name China
Year
Export volume index
GDP per capita (constant 2010 US$)
1980 7.190964398 347.1200879
1981 8.743517899 360.4279678
1982 9.428373444 386.8903417
1983 10.25153246 422.6591909
1984 12.34004595 480.3028638
1985 12.61492904 537.5026526
1986 15.52047929 576.9087566
1987 18.40145453 634.092911
1988 21.66725703 694.0647918
1989 22.42809652 712.1153633
1990 25.6864244 729.1606454
1991 29.44489072 786.1296588
1992 34.0846619 886.9503589
1993 37.95357331 998.4047893
1994 48.55720035 1116.032535
1995 56.85936289 1224.848821
1996 56.64713312 1332.417309
1997 67.91726097 1440.59025
1998 70.88444114 1538.662844
1999 77.44729803 1642.357488
2000 100 1767.833627
2001 109.694188 1901.40763
2002 138.6582488 2061.162284
2003 182.785201 2253.929689
2004 226.8347239 2467.132843
2005 283.6441931 2732.16588
2006 346.1719795 3062.534905
2007 414.8560285 3480.152725
2008 450.2958821 3796.633363
2009 403.192961 4132.902312
2010 516.4926068 4550.453596
2011 561.8922874 4961.234689
2012 596.8391727 5325.160106
2013 647.4202795 5710.587873
2014 684.4722854 6096.487817
2015 680.5921485 6484.435948
2016 690.2482661 6883.895425
2017 738.9259384 7308.065366
2018 769.5482696 7754.962119

In: Statistics and Probability

The following scenarios are based on actual returns and situations that have occurred in this years...

The following scenarios are based on actual returns and situations that have occurred in this years VITA program. The responses provided here would be similar to those you would provide to actual taxpayers in the event a similar situation would occur.

Scenario

Inez Sanchez, age 49, ITIN # 933-12-1987 is married but has been separated from her husband since March 3, 2017. She is a housekeeper for Acme Hotels Inc. She has four daughters, all born and raised in the U.S. who lived with her the entire year who she fully supports. No one had any health insurance for the entire year

Name Date of Birth Social Security Number Earnings

Polet Sanchez 09/09/2006 454-11-2222 $0

Jessica Sanchez 07/07/2004 453-11-2222 $0

Stephanie Sanchez 05/05/2002 452-11-2222 $0

Juanita Sanchez 03/03/1995 451-11-2222 $8000

For legal reasons, she tells you that she wants to file a paper return. She also wants her refund mailed to her.

Inez’s Refund for 2019 was $4,600.

After completing Inez’s return, she mentions to you that many of her friend’s and co-workers who make about the same amount of money and have the same number of children got almost double of what she is getting?

Obviously, one of the major reasons is that she has an ITIN number and not a social security number which does not make her eligible for EIC. Another reason is because she has a child who is over 24 and makes more than $4250. Lastly she has a child who turned 17 in 2019 and is no longer eligible for the child tax credit

As usual the taxpayer is upset and believes that the return was not completed correctly. As the tax preparer or quality reviewer, your job is to explain to the taxpayer why your work is correct and why this changed occur

In the preparation process, all UIW-VITA procedures were followed and the results of your return are 100% accurate.

Instructions

For the purposes of this scenario, you must explain to Inez why her refund is the way it is. As the tax preparer or quality reviewer, your job is to explain to the taxpayer why your work is correct and why this return resulted in the refund that it did. Remember, you are dealing with a taxpayer who is unhappy with your work. For this assignment, you are not required to re-explain to me the results of the return again. Rather, I am looking for a procedure you would use to assure the taxpayer the result of your work are accurate. Remember, all of the policies and procedures that were used in the preparation process. Be creative.

P. S- This is a class related to tax in USA.

In: Accounting

CASE 1-WI-FI INC. OVERVIEW Attach Wi-Fi to a broadband modem and any nearby computer equipped with...

CASE 1-WI-FI INC.

OVERVIEW

Attach Wi-Fi to a broadband modem and any nearby computer equipped with Wi-Fi receptors and you can log on to the Net. Wi-Fi networks, known as hot spots have popped up so tfast that more than 18 million people worldwide have logged on, and the numbers are growing daily. The challenge is to transform this innovation into a global business, developing coherent and dependable networks, coming up with billing systems, roaming agreements, and technical standards. Wi-Fi could extend dramatically the range and expanse of the Web, changing its vary nature.

The potential productivity gains are so compelling that many companies are investing in custom-built systems, without waiting for a fine-tuned industrial version of Wi-Fi to hit the market. As more companies compete, prices are plummeting. It costs only $2,000 to install a hot spot, one-fifth what it was two years ago. Although corporations are interested in the power and flexibility of Wi-Fi networks, many are postponing rollouts in strategic areas until they are convinced it is secure. A possible solution is the overlap between Wi-Fi and the high-speed cellular system, known as Third Generation (3G) that also promises a wireless internet access with broader coverage.

The benefits are impressive: Wi-Fi turns every machine, from laptops to cash registers into network devices. And it fuels demand for always-on broadband connections. The consumer-electronics industry is counting on Wi-Fi, to link a host of appliances in the home. Cellular manufacturers are working on Wi-Fi phones that would let people move seamlessly from Wi-Fi to cellular networks. Starbucks and McDonald’s have installed Wi-Fi networks in their stores to attract new customers and boost sales.

The challenge is to build Wi-Fi into a solid pillar of the networked world. Intel assigned 800 engineers to work on Wi-Fi and in December 2002 joined IBM and AT&T to launch Cometa to build and have running 5,000 hot spots by March 2004. Intel is also building new chips; The Centrino family of chips embeds a Wi-Fi receptor into a laptop computer. Every Dell computer laptop and 70% of H-P consumer offerings will be Wi-Fi ready. However, Wi-Fi isn’t likely to become rock-solid standard until hot spots are dependable, and security systems satisfy the most demanding customers.

DISCUSSION QUESTIONS:

  1. Define the product-market within which wireless networks are positioned.

B)Analyze the wireless network market, forecast the future directions of the market, and identify the possible consequences.

C)Indicate possible variables that may be useful in segmenting the wireless networks market

D)-Discuss the innovation challenges confronting companies competing in the wireless network market.

In: Operations Management

Kermit (a 6.0kg amorous amphibian) and Miss Piggy (a 10.0kg bacon beauty) find themselves in a...

Kermit (a 6.0kg amorous amphibian) and Miss Piggy (a 10.0kg bacon beauty) find themselves in a pretty precarious predicament. While ascending a mountain in the Alps, they trip on a slippery slope. Since frog friction is very low (uk?=0.22), Kermit finds himselfhurriedly hurtling toward disaster. Just as Kermit is about to fly over the edge, Miss Piggy lets go of the rope and they both fall to the ground, 227m below. How far apart are they and where will they land? Kermit is 50m away from the edge of the cliff and Miss Piggy is hanging off the edge of the cliff (they are attached by hanging onto a rope). No angle of inclination is given and the direction at which the frogs falls (ex: out horizontally) is not given. The frog is on the cliff and the pig is hanging off the cliff (so the pig will fall down and the frog will slide to the left until it falls). The frog is 50m from the edge of the cliff.

In: Physics

The option writer in Example 1.6.6 sells a digital option to a speculator. This amounts to...

The option writer in Example 1.6.6 sells a digital option to a speculator. This amounts to a bet that the asset price will go up. The payoff is a fixed amount of cash if the exchange rate goes to $165 per £100, and nothing if it goes down. If the speculator pays $10 for this bet, what cash payout should the option writer be willing to write into the option? You may assume that interest rates are zero.

(Example 1.6.6 -Suppose that in the US dollar markets the current Sterling
exchange rate is 1.5 (so that £100 costs $150). Consider a European call option that
offers the holder the right to buy £100 for $150 at time T . The riskless borrowing
rate in the UK is u and that in the US is r . Assuming a single period binary model in
which the exchange rate at the expiry time is either 1.65 or 1.45, find the fair price
of this option.)

In: Finance

January of 1999, the German Auto Bild magazine randomly tested different tread patterns across all tire...

January of 1999, the German Auto Bild magazine randomly tested different tread patterns across all tire brands as their journalists toured from the UK to the Bulgarian coast. They discovered on one leg of the tour that out of 100 tires, or 12%, shortcomings were due to defective sidewall wire. On another leg they found 125 tires, 15% of the defects were due to poor vulcanization.

a) Find an appropriate 95% confidence interval. Explain the difference in outcomes. Let poor vulcanization represent sample #1.

b) Use your confidence interval to explain the difference in outcomes. 2

c) An expert at TUV  thought defects due to wire imperfections were more common than poor vulcanization issues. Reexamine the question in part “b” using a hypothesis test to determine if you support this German regulator’s expert opinion?

In: Statistics and Probability

Five housing policies are described below, based on examples of measures that have been introduced or...

Five housing policies are described below, based on examples of measures that have been introduced or proposed in the UK, in response to a chronic shortage of affordable houses in many regions.

Drawing on the module material, write an essay that explains, using the ‘demand-and-supply’ model, the likely impact of each policy on the equilibrium quantity and price of houses, and how this might affect the UK’s affordable housing shortage.

Policy 4

The government has introduced a three-per-cent stamp duty surcharge that property owners are liable to. Some observers have said that this would push amateur buy-to-let landlords out of the market, as they are less well resourced to cope with the tax change compared to corporate developers. Most of the landlords who might be pushed out of the letting market by this measure are wealthy parents investing for their children’s future or those who have inherited properties.

In: Economics

Policy 4 is described below, based on examples of measures that have been introduced or proposed...

Policy 4 is described below, based on examples of measures that have been introduced or proposed in the UK, in response to a chronic shortage of affordable houses in many regions.

Drawing on the module material, write an essay that explains, using the ‘demand-and-supply’ model, the likely impact of each policy on the equilibrium quantity and price of houses, and how this might affect the UK’s affordable housing shortage.

Policy 4

The government has introduced a three-per-cent stamp duty surcharge that property owners are liable to. Some observers have said that this would push amateur buy-to-let landlords out of the market, as they are less well resourced to cope with the tax change compared to corporate developers. Most of the landlords who might be pushed out of the letting market by this measure are wealthy parents investing for their children’s future or those who have inherited properties.

In: Economics