The diagram shows what happened to the consumption of lamb in the UK over the period 1974– 2015. How can we explain this dramatic fall in consumption? One way of exploring this issue is to make use of a regression model, which should help us to see which variables are relevant and how they are likely to affect 140 130 120 110 100 90 80 70 60 50 40 30 20 1974       1978      1982       1986       1990      1994       1998       2002       2006      2010       2014   Note: Data from 2015 based on end of financial year. Source: Based on data in Family Food datasets   UK consumption of lamb: 1974–2017   The following is an initial model fitted to annual data for the years 1974–2010. QL = 144.0 – 0.137PL – 0.034PB + 0.214PP  – 0.00513Y + e                                                                           (1) where: QL is the quantity of lamb sold in grams per person per week; PL is the ‘real’ price of lamb (in pence per kg, 2000 prices); PB is the ‘real’ price of beef (in pence per kg, 2000 prices); PP is the ‘real’ price of pork (in pence per kg, 2000 prices); Y is households’ real disposable income per head (£ per year, 2000 prices); e is the error term that attempts to capture the impact of any other variables that have an impact on the demand for lamb. This model makes it possible to predict what would happen to the demand for lamb if any one of the four explanatory variables changed, assuming that the other variables remained constant. We will assume that the estimated coefficients used throughout this box are all statistically significant.   Using equation 1, calculate what would happen, other things being equal, to the demand for lamb if: The real price of lamb went up by 10p per kg; The real price of beef went up by 10p per kg; The real price of pork fell by 10p per kg; Real disposable income per head rose by by £100 per annum.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4: Estimating Demand
Section: Chapter Questions
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    1. The diagram shows what happened to the consumption of lamb in the UK over the period 1974– 2015. How can we explain this dramatic fall in consumption? One way of exploring this issue is to make use of a regression model, which should help us to see which variables are relevant and how they are likely to affect

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    1974       1978      1982       1986       1990      1994       1998       2002       2006      2010       2014

     

    Note: Data from 2015 based on end of financial year.

    Source: Based on data in Family Food datasets

     

    UK consumption of lamb: 1974–2017

     

    The following is an initial model fitted to annual data for the years 1974–2010.

    QL = 144.0 – 0.137PL – 0.034PB + 0.214PP  – 0.00513Y + e                                                                           (1)

    where:

    QL is the quantity of lamb sold in grams per person per week; PL is the ‘real’ price of lamb (in pence per kg, 2000 prices); PB is the ‘real’ price of beef (in pence per kg, 2000 prices); PP is the ‘real’ price of pork (in pence per kg, 2000 prices);

    Y is households’ real disposable income per head (£ per year, 2000 prices);

    e is the error term that attempts to capture the impact of any other variables that have an impact on the demand for lamb.

    This model makes it possible to predict what would happen to the demand for lamb if any one of the four explanatory variables changed, assuming that the other variables remained constant. We will assume that the estimated coefficients used throughout this box are all statistically significant.

     

    Using equation 1, calculate what would happen, other things being equal, to the demand for lamb if:

    1. The real price of lamb went up by 10p per kg;
    2. The real price of beef went up by 10p per kg;
    3. The real price of pork fell by 10p per kg;
    4. Real disposable income per head rose by by £100 per annum.
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