Deck 7: Demand and the Firm
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Deck 7: Demand and the Firm
1
A problem with using market observation data for business planning is that
A) the data may be subject to ethical problems.
B) the data may be subject to untruthful responses.
C) relationships that hold in the past may not hold in the future.
D) B and C
A) the data may be subject to ethical problems.
B) the data may be subject to untruthful responses.
C) relationships that hold in the past may not hold in the future.
D) B and C
relationships that hold in the past may not hold in the future.
2
Which of the following is not one of the reasons for trying to estimate a demand function?
A) To predict the effects of price changes
B) To predict the effects of a decline in growth of the market
C) To predict the effects of a new production method
D) To predict the effects of advertising
A) To predict the effects of price changes
B) To predict the effects of a decline in growth of the market
C) To predict the effects of a new production method
D) To predict the effects of advertising
To predict the effects of a new production method
3
Which of the following is not one of the reasons for trying to estimate a demand function?
A) To predict the effect of price changes
B) To predict the effect of advertising
C) To predict changes in customer taste
D) To predict decline or growth in the market
A) To predict the effect of price changes
B) To predict the effect of advertising
C) To predict changes in customer taste
D) To predict decline or growth in the market
To predict changes in customer taste
4
When creating a demand function, we would not use data on
A) advertising.
B) our prices.
C) customers' income.
D) our production costs.
A) advertising.
B) our prices.
C) customers' income.
D) our production costs.
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5
Which of the following is not a problem of collecting data using market surveys?
A) The data may not be a true random sample.
B) The data collected relates to actual consumer purchases.
C) The data could be misleading as some respondents may not tell the truth.
D) The data could be misleading as some of the questions may be leading.
A) The data may not be a true random sample.
B) The data collected relates to actual consumer purchases.
C) The data could be misleading as some respondents may not tell the truth.
D) The data could be misleading as some of the questions may be leading.
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6
Which of the following is a problem specific to collecting data using market experiments?
A) The sample is likely to be large.
B) Consumers may behave differently when they are being observed.
C) Relationships that held in the past may not hold in the future.
D) The data collected relates to past consumer purchases.
A) The sample is likely to be large.
B) Consumers may behave differently when they are being observed.
C) Relationships that held in the past may not hold in the future.
D) The data collected relates to past consumer purchases.
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7
Which of these three methods suffers from the major drawback that relationships that held in the past will not necessarily hold in the future?
A) Market observations
B) Market surveys
C) Market experiments
A) Market observations
B) Market surveys
C) Market experiments
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8
Market experiments would not involve
A) checking reactions to different types of packaging.
B) commenting on products.
C) being offered different products at different prices.
D) industrial espionage.
A) checking reactions to different types of packaging.
B) commenting on products.
C) being offered different products at different prices.
D) industrial espionage.
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9
A demand function would not include
A) expected future wage costs.
B) prices of substitutes.
C) expected future prices.
D) distribution of income data.
A) expected future wage costs.
B) prices of substitutes.
C) expected future prices.
D) distribution of income data.
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10
When creating a demand function, we would not use data on
A) our prices.
B) production costs.
C) consumer income.
D) advertising.
A) our prices.
B) production costs.
C) consumer income.
D) advertising.
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11
A demand function shows
A) the relationship between demand for a good or service and company profits and costs.
B) the relationship between the price consumers wish to pay and variables such as quantity, income and tastes.
C) the relationship between revenue of a company and variables such as quantity, price, incom and tastes.
D) the relationship between the quantity consumers wish to purchase and variables such as price, income and tastes.
A) the relationship between demand for a good or service and company profits and costs.
B) the relationship between the price consumers wish to pay and variables such as quantity, income and tastes.
C) the relationship between revenue of a company and variables such as quantity, price, incom and tastes.
D) the relationship between the quantity consumers wish to purchase and variables such as price, income and tastes.
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12
Imagine that a demand function for lamb in the UK has been constructed. The income coefficient has been estimated as - 0.2. This means that, in the UK, lamb is __________good.
A) a giffen
B) a superior
C) an inferior
D) a normal
A) a giffen
B) a superior
C) an inferior
D) a normal
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13
Which of the following is not one of the factors that could explain fluctuations in time series data?
A) Barometric
B) Trend
C) Seasonal
D) Cyclical
A) Barometric
B) Trend
C) Seasonal
D) Cyclical
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14
In a demand function, which of the following would not be an independent variable?
A) Other prices
B) Price
C) Income
D) Demand
A) Other prices
B) Price
C) Income
D) Demand
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15
If we have estimated a demand function, a problem we will meet in using the function to forecast demand will be the reliability of the
A) demand function.
B) forecasts of changes in the dependent variable(s).
C) forecasts of changes in the independent variable(s).
D) A and C
A) demand function.
B) forecasts of changes in the dependent variable(s).
C) forecasts of changes in the independent variable(s).
D) A and C
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16
Sofa specialist, Deepseat, estimates its demand function and thinks that the demand for its sofas depends on the sofa's price Pd, the price of sofas sold by Furniture4Us Pf, the volume of carpet sales V and consumer income Y. Which of the following would you expect to be the estimated demand function?
A) Qd = a - bPd - cPf + dV - eY
B) Qd = a - bPd + cPf + dV + eY
C) Qd = a + bPd + cPf - dV - eY
D) Qd = a + bPd - cPf + dV + eY
A) Qd = a - bPd - cPf + dV - eY
B) Qd = a - bPd + cPf + dV + eY
C) Qd = a + bPd + cPf - dV - eY
D) Qd = a + bPd - cPf + dV + eY
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17
If we are estimating a demand function, we can use sensitivity analysis to
A) forecast future values of the independent variables.
B) estimate the coefficients of the independent variables.
C) assess how much the dependent variable is affected by each of the independent variables.
D) forecast the value of the dependent variable.
A) forecast future values of the independent variables.
B) estimate the coefficients of the independent variables.
C) assess how much the dependent variable is affected by each of the independent variables.
D) forecast the value of the dependent variable.
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18
Which of the following factors would not normally determine the shape of the time path?
A) Short- term shifts in supply
B) Consumer tastes
C) Seasonal fluctuations
D) Short- term shifts in demand
A) Short- term shifts in supply
B) Consumer tastes
C) Seasonal fluctuations
D) Short- term shifts in demand
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19
Which of the following would not shift a demand curve?
A) A change in production methods
B) A change in income
C) A successful period of advertising
D) All of the above could shift a demand curve.
A) A change in production methods
B) A change in income
C) A successful period of advertising
D) All of the above could shift a demand curve.
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20
Analysis of market trends in past sales may lead to poor predictions because
A) the structure of the market may have changed over time.
B) it would not involve looking for causal relationships.
C) it would not involve looking at independent variables.
D) all of the above
A) the structure of the market may have changed over time.
B) it would not involve looking for causal relationships.
C) it would not involve looking at independent variables.
D) all of the above
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21
You estimate a demand function and the coefficient on the advertising variable is 0.3. This suggests that previous advertising has
A) shifted the demand curve.
B) been profitable.
C) covered its costs.
D) raised market price.
A) shifted the demand curve.
B) been profitable.
C) covered its costs.
D) raised market price.
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22
The error term of an econometric model is intended to cover
A) all variables not included in the model.
B) experimental bias.
C) all leading indicators.
D) all independent variables.
A) all variables not included in the model.
B) experimental bias.
C) all leading indicators.
D) all independent variables.
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23
Observations of market behaviour can be collected by the firm itself.
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24
Market experiments are often used to assess the effect of advertising.
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25
Observations of market behaviour involve information gathered about consumers from the day- to- day activities of the business within the market.
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26
One of the problems in using questionnaires is that respondents may not give truthful answers.
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27
One advantage of market surveys is that they can be targeted at specific consumer groups.
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28
A market survey should only have complex questions.
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29
The major drawback of market experiments is that consumers might behave differently because they are being observed.
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30
A market experiment might involve asking customers their opinions of different packaging.
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31
When creating a demand function, demand itself is an independent variable.
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32
The branch of economics which analyses a time series to predict the future values of that series is called econometrics.
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33
Regression analysis is a statistical technique which shows how one variable is related to one or more other variables.
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34
Barometric forecasting is a statistical technique which shows how one variable is related to one or more other variables.
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35
The error term of an econometric model is intended to cover all leading indicators.
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36
A major weakness of barometric forecasting is that most leading indicators only allow forecasting a few months ahead.
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37
The trend, cyclical and seasonal factors can all be extracted from a time series.
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38
Sensitivity analysis shows how sensitive an outcome is to different variables within an equation.
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39
What are market observations?
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40
What are market surveys?
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41
What are market experiments?
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42
What are the main difficulties involved in collecting and interpreting data collected using survey methods?
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43
What are the main components into which a time series may be split?
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44
What is barometric forecasting?
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45
If you were to estimate a demand function using econometric methods, what data would you require?
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46
What are the main drawbacks of making plans using econometric data analysis methods?
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47
You wish to introduce a new product into an existing market. What data would you wish to collect to assess the potential demand for this product?
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48
Explain which demand forecasting tools are likely to be the most useful in the context of a market with a high degree of product innovation.
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