Assignment 1 - Demand Estimation
Data
The data represents the demand for single family
housing in a metropolitan area from 1980 - 2001. They are entered into an Excel spreadsheet that
was sent to you as an e-mail attachment. The data is also given
in a table below, and are coded as follows:
! Population = population of the metropolitan
area in thousands
! CPI = Consumer Price Index for the area
! Quantity = quantity of single family
housing units sold in a year
! Price = average price of single family
housing per square foot
! Income = median income in the area
! Rent = average rent for apartments in the
area
Analysis
Use your data and a
spreadsheet program to do to estimate the demand for single family
housing in the metropolitan area. Write a
brief report which includes the following:
- Indicate the form of the model used,
including the expected signs of the coefficients for each
variable.
- Analyze the validity of the model,
including a discussion of the R2, the F-test, and
t-tests.
- Calculate the point
elasticity for each of the variables, based on the
data for the latest period. Use the estimated
elasticities in your role as a consultant to a land development
company to answer the following questions:
a. What should the company do to the price of the
houses to
increase its revenue from their sale?
b. How will a slowing in the local
economy affect the demand for the housing?
c. How significant are apartments
as competition for single family housing?
Final Output
Please submit a copy of
your analysis along with supporting computer output by Thursday, October
2. If the output is a hard copy, it should be
typed on 8 ½ x 11 or A4 paper. Please do not submit the
report in a special report cover; a stable in the upper
left hand corner would be adequate. The output may also
be submitted as an e-mail attachment.
|
Population |
CPI |
Quantity |
Price |
Income |
Rent |
| 1980 |
875.5 |
79.4 |
23059 |
59.17 |
23.3 |
435 |
| 1981 |
887.5 |
90.1 |
20453 |
68.28 |
24.9 |
470 |
| 1982 |
903.8 |
96.2 |
20373 |
69.34 |
24.7 |
484 |
| 1983 |
929.1 |
99.0 |
20964 |
70.31 |
25.2 |
503 |
| 1984 |
957.6 |
104.8 |
18953 |
72.22 |
26.9 |
518 |
| 1985 |
979.3 |
110.4 |
19417 |
77.18 |
28.7 |
534 |
| 1986 |
1007.0 |
113.5 |
22913 |
84.13 |
30.1 |
609 |
| 1987 |
1031.8 |
117.5 |
23491 |
91.83 |
31.8 |
670 |
| 1988 |
1058.7 |
123.4 |
25876 |
105.12 |
33.7 |
690 |
| 1989 |
1087.8 |
130.6 |
24163 |
122.07 |
35.0 |
704 |
| 1990 |
1118.3 |
138.4 |
21949 |
128.79 |
36.5 |
760 |
| 1991 |
1130.0 |
143.4 |
19645 |
129.88 |
36.3 |
783 |
| 1992 |
1149.6 |
147.4 |
21024 |
125.81 |
35.5 |
744 |
| 1993 |
1171.6 |
150.6 |
18567 |
119.38 |
35.5 |
729 |
| 1994 |
1184.8 |
154.5 |
21879 |
119.38 |
35.9 |
758 |
| 1995 |
1197.7 |
156.8 |
24176 |
115.34 |
37.2 |
841 |
| 1996 |
1183.1 |
160.9 |
24686 |
116.87 |
40.2 |
866 |
| 1997 |
1190.2 |
163.7 |
27341 |
123.20 |
42.3 |
953 |
| 1998 |
1214.0 |
166.9 |
29462 |
139.44 |
44.7 |
1010 |
| 1999 |
1245.5 |
172.8 |
25476 |
159.54 |
47.1 |
1030 |
| 2000 |
1277.2 |
182.8 |
30375 |
183.99 |
53.1 |
1071 |
| 2001 |
1250.7 |
191.2 |
(X) |
191.16 |
56.3 |
1082 |
In place of the (X) for quantity in 2001, use the number next to your name below:
| Name |
(X) |
| Albano |
28000 |
| Alipour |
28050 |
| Arendale |
28100 |
| Austin |
28150 |
| Barrios |
28200 |
| Boyer |
28250 |
| Bui |
28300 |
| Carlson |
28350 |
| Cervantes |
28400 |
| Chavez |
28450 |
| Chen, Leo |
28500 |
| Chen, Tia |
28550 |
| Coleman |
28600 |
| Creighton |
28650 |
| Cugini |
28700 |
| Curry |
28750 |
| Dabrowski |
28800 |
| Diodosio |
28850 |
| Dorsey |
28900 |
| Felke |
28950 |
| Fenske |
29000 |
| Fernandez |
29050 |
| Flores |
29100 |
| Foerder |
29150 |
| Fullerton |
29200 |
| Geldern |
29250 |
| Gerhardt |
29300 |
| Gillen |
29350 |
| Gleason |
29400 |
| Grau |
29450 |
| Gupta |
29500 |
| Gutierrez |
29550 |
| Hawkins |
29600 |
| Huang |
29650 |
| Huszar |
29700 |
| Jimenez |
29750 |
| Kaloti |
29800 |
| Kim |
29850 |
| Lalinde |
29900 |
| Lanjewar |
29950 |
| Lee |
30000 |
| Leibham |
30050 |
| Levy |
30100 |
| Lopez |
30150 |
| Meiners |
30200 |
| Morga |
30250 |
| Nunes |
30300 |
| O'Donnell |
30350 |
| Osborne |
30400 |
| Otani |
30450 |
| Patel, Pramesh |
30500 |
| Patel, Roshni |
30550 |
| Peyre |
30600 |
| Richardson |
30650 |
| Ruiz |
30700 |
| Sevick |
30750 |
| Shah |
30800 |
| Smith |
30850 |
| Sorenson |
30900 |
| Stearrett |
30950 |
| Tanz |
31000 |
| Tatarian |
31050 |
| Tchang |
31100 |
| Vanderhoof |
31150 |
| Villani |
31200 |
| Wang |
31250 |
| Weller |
31300 |
| Zachry |
31350 |
|