Exam 7: Demand Estimation and Forecasting
Exam 1: Managers, Profits, and Markets25 Questions
Exam 2: Demand, Supply, and Market Equilibrium52 Questions
Exam 3: Marginal Analysis for Optimal Decision Making25 Questions
Exam 4: Basic Estimation Techniques50 Questions
Exam 5: Theory of Consumer Behavior52 Questions
Exam 6: Elasticity and Demand47 Questions
Exam 7: Demand Estimation and Forecasting66 Questions
Exam 8: Production and Cost in the Short Run33 Questions
Exam 9: Production and Cost in the Long Run52 Questions
Exam 10: Production and Cost Estimation53 Questions
Exam 11: Managerial Decisions in Competitive Markets58 Questions
Exam 12: Managerial Decisions for Firms With Market Power68 Questions
Exam 13: Strategic Decision Making in Oligopoly Markets54 Questions
Exam 14: Advanced Techniques for Profit Maximization67 Questions
Exam 15: Decisions Under Risk and Uncertainty35 Questions
Exam 16: Government Regulation of Business29 Questions
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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:
The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:
-The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per year.


(Short Answer)
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refer to the following:
A forecaster used the regression equation
and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2and D3are dummy variables for quarters I, II, and III.
-At the 5 percent level of significance, is there a statistically significant trend in sales?


(Multiple Choice)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:
where
is the number of jars of picante sauce sold per month,
is the price of picante sauce,
is the price of a bag of nacho chips,
is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations:
-Explain carefully and completely the meaning of the p-value for the parameter estimate on the price of nacho chips.






(Short Answer)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:
where
is the number of jars of picante sauce sold per month,
is the price of picante sauce,
is the price of a bag of nacho chips,
is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations:
-If the price of nacho chips falls by 2.4%, Border Snacks can expect sales of its picante sauce to ___________________ (increase, decrease) by _______%. (HINT: Begin by computing the appropriate estimated cross-price elasticity.) Show your work below:






(Short Answer)
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refer to the following:
The manufacturer of Beanie Baby dolls used quarterly price data for 2002I - 2010IV (t = 1, ..., 36) and the regression equation
to forecast doll prices in the year 2011. Pt is the quarterly price of dolls, and D1t , D2t and D3t are dummy variables for quarters I, II, and III, respectively.
-Using the estimated time-series regression, predicted price in the 1st quarter of 2011 is


(Multiple Choice)
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For a nonlinear demand function of the form ,
, the estimated cross-price elasticity of demand is

(Multiple Choice)
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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:
The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:
-The forecasted sales for the 4th quarter of 2008 are ___________ units.


(Short Answer)
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(39)
refer to the following:
A consulting firm estimates the following quarterly sales forecasting model:
The equation is estimated using quarterly data from 2000I-2010III (t = 1,..., 43). The variable D is a dummy variable for the second quarter where:
D = 1 in the second quarter, and 0 otherwise.
The results of the estimation are:
-Using the estimated trend line, what is the predicted level of sales in 2011I ?


(Multiple Choice)
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The estimated market demand for good X is
where
is the estimated number of units of good X demanded, P is the price of the good, M is income, and
is the price of related good G. (All parameter estimates are statistically significant at the 1 percent level of significance.)
-Good X is a(n) ______________ good and goods X and G are _________________.



(Short Answer)
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refer to the following:
Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:
where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and
= the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below:
-At the 1 percent level of significance, the number of degrees of freedom for a t-test is _____, and the critical value of the t-statistic is ________. Only parameter estimate(s) ________ is (are) NOT statistically significant at the 1 percent level of significance.



(Multiple Choice)
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The estimated demand for a good is
, where
= units of the good, P = price of the good, M = income, and
= price of related good Z. All parameter estimates are statistically significant. Which of the following statements are correct?



(Multiple Choice)
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Border Snacks Inc. produces and sells picante sauce, nacho chips, and queso dip. The company's marketing department estimated a linear demand function for Border's picante sauce:
where
is the number of jars of picante sauce sold per month,
is the price of picante sauce,
is the price of a bag of nacho chips,
is the price of a jar of queso dip, and M is consumer income. In the market served by Border Snacks, income is currently $16,000. The following regression results were obtained using 22 monthly observations:
-At the prices set in part c above, the price elasticity of demand for picante sauce is calculated to be ____________________, and demand is ______________ at this point. Show your work below:






(Short Answer)
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(44)
refer to the following:
Build-Right Concrete Products produces specialty cement used in construction of highways. Build-Right is a price-setting firm and estimates the demand for its cement by the State Highway Department using a demand function in the nonlinear form:
where Q = yards of cement demanded monthly, P = the price of Build-Right's cement per yard, M = state tax revenues per capita, and
= the price of asphalt per yard. The manager at Build-Right transforms the nonlinear relation into a linear relation for estimation. The estimation results are presented below:
-If the price of asphalt (
) decreases 20%, the estimated quantity of cement demanded will:




(Multiple Choice)
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A forecaster used the following regression equation
and quarterly sales data during 1999II - 2007IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and
,and
are seasonal dummy variables for quarters I, II, and III.
-The forecasted sales for the 1st quarter of 2008 are ___________ units.
The forecasted sales for the 2nd quarter of 2008 are ___________ units.
The forecasted sales for the 3rd quarter of 2008 are ___________ units.
The forecasted sales for the 4th quarter of 2008 are ___________ units.




(Short Answer)
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The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:
The estimation results are presented below:
-All else constant, a 22 percent increase in price causes quantity demanded _____________ (increase, decrease) by _____ percent.


(Short Answer)
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You decide to estimate the following quarterly sales forecasting model for new boat sales in your local county:
The equation is estimated using quarterly data on new boat sales in the county from 2001III -2007IV ( t = 1,..., 26). The variable D is a dummy variable for the second quarter, which is the "season" for selling new boats: D = 1 in the second quarter, and 0 otherwise. The results of the estimation are:
-The statistical estimates indicate a(n) ___________ (positive, negative) seasonal effect on 2nd quarter sales of _________ units in the 2nd quarter of each year.


(Short Answer)
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The empirical demand function is estimated in log-linear form as
where
is the estimated number of units of good X demanded, P is the price of X, M is income, and
is the price of related good Y. (All parameters estimates are significantly different from zero at the 5 percent level.)
-At P = $3.55, M = $25,035, and PV = $5.07, the predicted quantity demanded is _________ units of good X.



(Short Answer)
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refer to the following:
A forecaster used the regression equation
and quarterly sales data for 1993I-2010IV (t = 1, ..., 64) for an appliance manufacturer to obtain the results shown below. Q is quarterly sales, and D1, D2and D3are dummy variables for quarters I, II, and III.
-Using the estimation results given above, the predicted level of sales in 2011II is _______ units.


(Multiple Choice)
4.8/5
(33)
The following log-linear demand curve for a price-setting firm is estimated using the ordinary least-squares method:
The estimation results are presented below:
-An 8 percent decrease in the price of R, holding all other variables constant, causes quantity demanded to _____________ (increase, decrease) by _____ percent.


(Short Answer)
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