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Macroeconomics and Forecasting Assignment: Homework 3 Learning Objectives • Use the multiplier model to determine and explain changes in equilibrium output. • Use the IS/LM model to determine and...

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Macroeconomics and Forecasting
Assignment: Homework 3
Learning Objectives
•    Use the multiplier model to determine and explain changes in equili
ium output.
•    Use the IS/LM model to determine and explain changes in real income and the interest rate.
•    Use dataZoa to create auto-updating chart and table.
•    Interpret multiple time series plots.
•    Create a scatterplot and diagnose heteroskedasticity in a real-world data set.
•    Calculate parameter estimates and forecasts using the simple and multiple linear regression models.
•    Interpret parameter estimates, standard e
ors, and R2 from a linear regression analysis.
Due Date
Please submit your assignment by Sunday, December 8th at 11:59 PM (AZ time).
Assignment Overview
This assignment requires problem solving and short answer responses. Explanations should be in paragraph form and will generally be longer than one sentence. To complete this assignment, you will need to download the following files:
•    O-MBA-ECON-555-dataZoa-Instructions.pdf
•    O-MBA-ECON-555-Homework-3.docx
•    Homework-3-Question-1-template.pptx
•    hw3-3.xlsx
These four files are located in the Table of Contents -> Learning Modules -> Week 7 area of D2L.
Evaluation Criteria
This assignment is worth 100 points, with points per question specified below.
For Question 1 (25 points), be sure to explain fully which curve shifts and why. This explanation should be in paragraph form, with a minimum of three sentences. You may draw the graph directly in the Word document (see instructions in the Assignment). Alternatively, you may find it easier to draw the graph in the PowerPoint file (Homework-3-Question-1-template.pptx) and copy/paste into the Word document.
For Question 2 (15 points), be sure to get the right data and produce the appropriate table.
For Question 3 (30 points), a complete answer will co
ectly interpret the time series plot, and will calculate the appropriate estimates and forecast in Excel. You will receive partial credit if you make minor calculation e
ors
ut demonstrate an understanding of the key concepts and steps, or if you co
ectly calculate some of the required components but are not able to calculate all of them
For Question 4 (30 points), a complete answer will create the appropriate data set and the required scatterplot, and will co
ectly discuss the issue of heteroskedasticity. It will also provide co
ect numerical calculations to the linear regression component of the question. You will receive partial credit if you make minor calculation e
ors but demonstrate an understanding of the key concepts and steps, or if you co
ectly calculate some of the required components but are not able to calculate all of them.
Assignment Submission Instructions
Compose your answers in the provided O-MBA-ECON-555-Homework-3.docx file. Please update the file name so that it includes your first and last name for identification purposes, for example "SmytheMaryHomework3" and do NOT use any spaces, punctuation, or special characters in the file name.
Please remember to also modify the hw3-3.xlsx spreadsheet as explained in Question 3. Please update the file name so that it includes your first and last name for identification purposes, for example "SmytheMaryHomework3" and do NOT use any spaces, punctuation, or special characters in the file name.
Optionally, you may also submit the spreadsheet you used to calculate your answers to Question 4, following the same guidelines as for Question 3 in the previous paragraph.
Once you have finalized all files for this assignment, save them into a .zip file and submit the .zip file through the assignment drop box.
    Page 2 of 3
    

FRED Graph
    HW3-3.xlsx: Data For Homework 3, Question 3
    Federal Reserve Economic Data
    Link: http:
esearch.stlouisfed.org/fred2
    Help: http:
esearch.stlouisfed.org/fred2/help-faq
    Economic Research Division
    Federal Reserve Bank of St. Louis
    USSTHPI    All-Transactions House Price Index for the United States, Index 1980 Q1=100, Quarterly, Not Seasonally Adjusted
    A229RX0    Real Disposable Personal Income: Per capita, Chained 2009 Dollars, Quarterly, Seasonally Adjusted Annual Rate
    MORTG    30-year conventional mortgage rate. Quarterly average of monthly rates. Source: Primary Mortgage Market Survey data provided by Freddie Mac.
    Frequency: Quarterly
    observation_date    USSTHPI    A229RX0    MORTG
     XXXXXXXXXX    59.65    54477    9.15
     XXXXXXXXXX    61.18    56868    8.87
     XXXXXXXXXX    61.22    55877    8.99
     XXXXXXXXXX    62.27    56161    9.16
     XXXXXXXXXX    62.81    56696    8.86
     XXXXXXXXXX    65.47    56870    8.78
     XXXXXXXXXX    66.61    57140    8.97
     XXXXXXXXXX    67.47    57329    8.84
     XXXXXXXXXX    69.40    57179    8.69
     XXXXXXXXXX    72.69    57751    8.81
     XXXXXXXXXX    74.30    58470    8.93
     XXXXXXXXXX    77.17    59431    8.93
     XXXXXXXXXX    79.53    59712    9.13
     XXXXXXXXXX    82.78    60151    9.55
     XXXXXXXXXX    85.25    60406    9.76
     XXXXXXXXXX    87.47    60706    10.11
     XXXXXXXXXX    91.39    61195    10.41
     XXXXXXXXXX    94.35    60511    10.74
     XXXXXXXXXX    96.40    60614    11.16
     XXXXXXXXXX    98.34    60688    12.46
     XXXXXXXXXX    100.00    60725    13.73
     XXXXXXXXXX    101.55    59675    14.43
     XXXXXXXXXX    104.46    60223    12.65
     XXXXXXXXXX    104.81    61239    14.26
     XXXXXXXXXX    105.44    60951    15.14
     XXXXXXXXXX    107.53    60799    16.23
     XXXXXXXXXX    109.28    61873    17.43
     XXXXXXXXXX    109.18    61833    17.73
     XXXXXXXXXX    110.86    61777    17.39
     XXXXXXXXXX    111.84    61997    16.76
     XXXXXXXXXX    110.82    62169    16.17
     XXXXXXXXXX    112.21    62294    14.02
     XXXXXXXXXX    114.21    62703    13.03
     XXXXXXXXXX    115.38    63017    12.76
     XXXXXXXXXX    116.36    63812    13.65
     XXXXXXXXXX    117.01    65034    13.47
     XXXXXXXXXX    118.74    66233    13.33
     XXXXXXXXXX    120.28    67201    14.00
     XXXXXXXXXX    121.49    67957    14.50
     XXXXXXXXXX    122.47    68351    13.65
     XXXXXXXXXX    124.15    68062    13.06
     XXXXXXXXXX    126.05    69225    12.78
     XXXXXXXXXX    128.05    68816    12.14
     XXXXXXXXXX    129.44    69434    11.73
     XXXXXXXXXX    131.92    70159    10.56
     XXXXXXXXXX    134.66    70941    10.25
     XXXXXXXXXX    136.70    71268    10.24
     XXXXXXXXXX    138.81    71224    9.66
     XXXXXXXXXX    141.54    71673    9.11
     XXXXXXXXXX    143.76    70824    10.32
     XXXXXXXXXX    145.37    71935    10.50
     XXXXXXXXXX    146.29    72718    10.85
     XXXXXXXXXX    148.58    73631    10.08
     XXXXXXXXXX    151.53    74234    10.37
     XXXXXXXXXX    153.12    74753    10.50
     XXXXXXXXXX    154.55    75287    10.39
     XXXXXXXXXX    156.32    76063    10.80
     XXXXXXXXXX    158.49    75670    10.67
     XXXXXXXXXX    161.84    75974    10.00
     XXXXXXXXXX    163.17    76378    9.82
     XXXXXXXXXX    164.10    76845    10.12
     XXXXXXXXXX    164.76    77065    10.34
     XXXXXXXXXX    165.76    76823    10.11
     XXXXXXXXXX    165.12    75945    9.95
     XXXXXXXXXX    166.50    75873    9.50
     XXXXXXXXXX    167.62    76154    9.53
     XXXXXXXXXX    167.90    76159    9.28
     XXXXXXXXXX    170.28    76548    8.69
     XXXXXXXXXX    171.59    77963    8.71
     XXXXXXXXXX    171.55    78515    8.68
     XXXXXXXXXX    173.50    78569    8.01
     XXXXXXXXXX    174.39    78563    8.21
     XXXXXXXXXX    174.45    78774    7.73
     XXXXXXXXXX    176.11    78674    7.45
     XXXXXXXXXX    177.54    78451    7.08
     XXXXXXXXXX    179.00    78714    7.05
     XXXXXXXXXX    180.14    79055    7.30
     XXXXXXXXXX    181.24    79658    8.44
     XXXXXXXXXX    182.00    79874    8.59
     XXXXXXXXXX    181.83    80735    9.10
     XXXXXXXXXX    182.80    81288    8.81
     XXXXXXXXXX    185.78    81243    7.95
     XXXXXXXXXX    188.62    81706    7.70
     XXXXXXXXXX    190.12    81927    7.35
     XXXXXXXXXX    192.27    82505    7.24
     XXXXXXXXXX    192.59    83056    8.11
     XXXXXXXXXX    193.46    83447    8.16
     XXXXXXXXXX    194.95    83615    7.71
     XXXXXXXXXX    196.59    84232    7.79
     XXXXXXXXXX    198.24    84709    7.92
     XXXXXXXXXX    200.97    85434    7.47
     XXXXXXXXXX    203.57    86387    7.20
     XXXXXXXXXX    206.62    88002    7.05
     XXXXXXXXXX    208.47    88988    7.09
     XXXXXXXXXX    211.38    89615    6.86
     XXXXXXXXXX    213.89    90072    6.77
     XXXXXXXXXX    216.15    90648    6.88
     XXXXXXXXXX    219.04    90624    7.21
     XXXXXXXXXX    222.14    90942    7.80
     XXXXXXXXXX    224.44    92002    7.83
     XXXXXXXXXX    228.72    93579    8.26
     XXXXXXXXXX    232.45    94315    8.32
     XXXXXXXXXX    236.67    95158    8.03
     XXXXXXXXXX    240.33    95227    7.64
     XXXXXXXXXX    246.25    95818    7.01
     XXXXXXXXXX    250.37    95510    7.13
     XXXXXXXXXX    254.25    97512    6.97
     XXXXXXXXXX    257.41    96061    6.78
     XXXXXXXXXX    261.12    98184    6.97
     XXXXXXXXXX    265.54    98463    6.82
     XXXXXXXXXX    270.82    98087    6.29
     XXXXXXXXXX    274.67    98318    6.08
     XXXXXXXXXX    278.02    98387    5.84
     XXXXXXXXXX    281.40    99592    5.51
     XXXXXXXXXX    285.69    100974    6.01
     XXXXXXXXXX    293.76    101139    5.92
     XXXXXXXXXX    298.33    101677    5.61
     XXXXXXXXXX    305.58    102455    6.13
     XXXXXXXXXX    317.24    102741    5.89
     XXXXXXXXXX    323.99    103764    5.73
     XXXXXXXXXX    331.45    102548    5.76
     XXXXXXXXXX    342.02    103140    5.72
     XXXXXXXXXX    352.31    103405    5.76
     XXXXXXXXXX    360.29    103997    6.22
     XXXXXXXXXX    366.06    106140    6.24
     XXXXXXXXXX    369.85    106061    6.60
     XXXXXXXXXX    372.92    106089    6.56
     XXXXXXXXXX    376.74    107203    6.25
     XXXXXXXXXX    378.17    107667    6.22
     XXXXXXXXXX    377.96    107635    6.37
     XXXXXXXXXX    373.84    107638    6.55
     XXXXXXXXXX    372.81    107457    6.23
     XXXXXXXXXX    370.32    107994    5.88
     XXXXXXXXXX    361.28    110027    6.09
     XXXXXXXXXX    350.15    107240    6.32
     XXXXXXXXXX    347.08    107680    5.87
     XXXXXXXXXX    349.70    107256    5.06
     XXXXXXXXXX    340.40    107798    5.03
     XXXXXXXXXX    331.46    106370    5.16
     XXXXXXXXXX    329.14    105984    4.92
     XXXXXXXXXX    325.18    105878    5.00
     XXXXXXXXXX    322.39    107063    4.91
     XXXXXXXXXX    325.55    107384    4.45
     XXXXXXXXXX    323.24    107919    4.41
     XXXXXXXXXX    314.32    109061    4.85
     XXXXXXXXXX    309.09    108710    4.66
     XXXXXXXXXX    311.68    109072    4.31
     XXXXXXXXXX    313.19    108931    4.01
     XXXXXXXXXX    309.96    110558    3.92
     XXXXXXXXXX    308.93    111011    3.80
     XXXXXXXXXX    312.91    110680    3.55
     XXXXXXXXXX    315.49    113606    3.36
     XXXXXXXXXX    317.13    109676    3.50
     XXXXXXXXXX    322.32    110524    3.69
     XXXXXXXXXX    327.80    110867    4.44
     XXXXXXXXXX    331.19    110715    4.30
     XXXXXXXXXX    333.56    111471    4.36
     XXXXXXXXXX    340.98    112441    4.23

    
    
    
Macroeconomics and Forecasting
dataZoa Instructions
dataZoa is a cloud-based data management system. It allows the user to link to time series maintained by many of the most popular public data providers, including the Census Bureau, the Bureau of Economic Analysis, the Bureau of Labor Statistics, FBI Crime Statistics, SEC Edgar Filings, and many, many more.
Once a user has created a link using dataZoa, the data will auto-update in the user’s account as new estimates become available. The data update will also capture revisions, a common occu
ence with most macroeconomic time series.
Users can then use dataZoa to create visualizations, like charts and tables, which will also auto-update as new estimates are released. These visualizations can be embedded in public or private webpages. See e
.eller.arizona.edu for examples.
Users can also import their own data into dataZoa, then create and share visualizations based on that data.
NOTE: you must use either Chrome or Firefox to use dataZoa. (Even with Apple products)
Creating Your dataZoa account:
Visit http:
www.dataZoa.com and create an account. Anyone with a valid arizona.edu email address will have access to a student account. A student level account will allow you to link to 400 auto-updating series of your choice. You can also import as much of your own data into dataZoa as you like.
1) Once you have your account, click on Quick Start (top of the screen) or use the Ready-Set-Go! Protocol provided by dataZoa in the center of the screen.
a. Follow the directions to install the dZ-Dot. (Step #1)
. View the videos on how to.
i. Drag some data
ii. Build a calculation
iii. Build a Display
iv. Share your work
c. Don’t wo
y about any references to DataZephyr, we will not use it in this class (Step #2 optional)
Example 1: Build a Simple Table in dataZoa
Create a table with quarterly US Real GDP Growth Rates (BEA US real GDP Table 1.1.1.)
1) Visit the BEA website(www.bea.gov)
a. See National: click on Gross Domestic Product (GDP)
. Click on: Interactive Tables: GDP and the National Income and Product Account (NIPA) Historical Tables
c. Click on Begin using the data
d. Explore and find Table 1.1.1.
e. Make sure that you have the BEA page display the range of data you want, for instance from 2013Q1-2016Q3
2) Drag/drop all data from Table XXXXXXXXXXinto your dataZoa account
a. Use the dZ-Dot
3) Create a list of the data you just imported, call it USRGDP_GrowthRates
a. Lists help you organize your data
. First, be sure you are on the Workbench tab (it’s right next to the dZ Dropzone)
c. Check the boxes for all of the series you just downloaded
d. Click on the GroupLists button (next to Export)
e. Type in the new name: USRGDP_GR, click Create
i. Note that you can this button to reorder the series in the group, if you like
ii. Don’t forget to click “Save Order” if you do choose to reorde
f. Now click on the Drop Down Menu (see the a
ow below) and select USRGDP_GR
i. Since this is your first group, there is no change
4) Select all data in the list by checking the top box
5) Click on the Table button: Table=>New
6) dataZoa will pop up a page titled: “Build an Embeddable Table of Data”
7) Name the Table: “US Real GDP Growth Rates”
8) Click the Tab labeled “Table Options”, dataZoa pops up a new set of tabs
9) Click the Tab labeled Table Settings: Give the table a title: “US Real GDP Growth Rates”
10) Select the number of periods to display: try 6
11) Click the Tab labeled “Knock Out Repetitive Label Text”: Click the button “Identify Repetitive Phrases”: datazoa suggests the repetitive text and deletes it from the table.
12) Be sure to save the Table (often)!
13) Note that you can use the Cell Formatting tab to control decimal places, etc.
14) Note that you can download the data in the table to CSV file, for further analysis and processing.
15) You can control the Table width and height (to eliminate the slider), as well as fonts, text size, and heading & row colors. See below for Style recommendations.
16) Keep in mind that this Table will auto-update as new
evised data become available.
Share the Table you created
1)
Answered Same Day Dec 11, 2021

Solution

Komalavalli answered on Dec 13 2021
135 Votes
Sheet2
    Date    10-Year Treasury Constant Maturity Rate    30 year Mortgage rate
     January 1980     10.8    12.88
     Fe
uary 1980     12.41    13.04
     March 1980     12.75    15.28
     April 1980     11.47    16.33
     May 1980     10.18    14.26
     June 1980     9.78    12.71
     July 1980     10.25    12.19
     August 1980     11.1    12.56
     September 1980     11.51    13.20
     October 1980     11.75    13.79
     November 1980     12.68    14.21
     December 1980     12.84    14.79
     January 1981     12.57    14.90
     Fe
uary 1981     13.19    15.13
     March 1981     13.12    15.40
     April 1981     13.68    15.58
     May 1981     14.1    16.40
     June 1981     13.47    16.70
     July 1981     14.28    16.83
     August 1981     14.94    17.29
     September 1981     15.32    18.16
     October 1981     15.15    18.45            SUMMARY OUTPUT
     November 1981     13.39    17.83
     December 1981     13.72    16.92            Regression Statistics
     January 1982     14.59    17.40            Multiple R    0.99
     Fe
uary 1982     14.43    17.60            R Square    0.98
     March 1982     13.86    17.16            Adjusted R Square    0.98
     April 1982     13.87    16.89            Standard E
or    0.47
     May 1982     13.62    16.68            Observations    441
     June 1982     14.3    16.70
     July 1982     13.95    16.82            ANOVA
     August 1982     13.06    16.27                df    SS    MS    F    Significance F
     September 1982     12.34    15.43            Regression    1    5082.8806652714    5082.8806652714    22792.9212733306    0
     October 1982     10.91    14.61            Residual    439    97.8981406243    0.2230025982
     November 1982     10.55    13.83            Total    440    5180.7788058957
     December 1982     10.54    13.62
     January 1983     10.46    13.25                Coefficients    Standard E
or    t Stat    P-value    Lower 95%    Upper 95%    Lower 95.0%    Upper 95.0%
     Fe
uary 1983     10.72    13.04            Intercept    1.52    0.05    30.94    0.00    1.43    1.62    1.43    1.62
     March 1983     10.51    12.80            10-Year Treasury Constant Maturity Rate    1.04    0.01    150.97    0.00    1.03    1.05    1.03    1.05
     April 1983     10.4    12.78
     May 1983     10.38    12.63
     June 1983     10.85    12.87
     July 1983     11.38    13.42            RESIDUAL OUTPUT
     August 1983     11.85    13.81
     September 1983     11.65    13.73            Observation    Predicted 30 year Mortgage...
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