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Question 1 (9 marks)
During the 1990s, technological advance reduced the cost of computer chips. Explain, with the use of supply and demand diagrams, how the following markets are affected in terms of prices and quantities.
(a) Computers (3 marks)
(b) Computer software (3 marks)
(c) Typewriters (3 marks)
Question 2 (6 marks)
After an economics lecture one day, your friend suggests that taxing food would be a good way to raise revenue because the demand for food is quite inelastic.
(a) In what sense is taxing food is a ‘good’ way to raise revenue? (3 Marks)
(b) In what sense is it not a ‘good’ way to raise revenue? (3 Marks)
Question 3 (5 marks)
Most studies of firms’ long run costs have found that average costs decline as firms produce increasingly larger output levels (economies of scale), such as for automobile firms. However, trucking (haulage) firms appear not to experience falling average costs associated with large-scale operations. Why might this be the case?
Given the following demand and total cost functions for a firm P = 4500 - 0.5Q 2 TC = 1.5Q 3 - 50Q 2 + 1000 i) the marginal profit function
Variability - The extent to which the possible outcomes of uncertain event may vary * Variability: A Scenario - Assume that you are choosing between two part time sales
How does a
1. Define the concept of opportunity cost in your own words. Given an example from your own life of the opportunity cost of a decision (do NOT use classroom examples). Explain why
Production: - Firms should choose how much of each to produce. - The alternative quantities can be illustrated by using product transformation curves. Product Transforma
the difference between an lc3 and other types of businesses is that
concept of innovation theory of profit and criticism
What are the economic implications of income inequality? How can economic theory be helpful to analyze the causes and impact of income inequality? What are the concerns and how the
Deviation - Difference between the expected and actual payoff - Adjusting for the negative numbers - The standard deviation measures square root of average of squa
Let {(y i * ; x i ); 1 ≤ i ≤ n} be an i.i.d sequence of random variables where y i * and x i satisfy the linear relationship y i * = β 0 + β 1 x i + ∈ i with Cov(x i ; ∈
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