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PERFECT COMPETITION, TOTAL ANALYSIS: A perfectly competitive firm produces the profit-maximizing quantity of output that generates the greatest difference between total revenue and total cost. This total approach is one of three methods that used to determine the profit-maximizing quantity of output. The other two methods involve the direct analysis of economic profit or a comparison of marginal revenue and marginal cost.
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Lesson 10: Gross Domestic Product | Unit 2: Looking Behind GDP
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Page: 7 of 25
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Slice A includes market transactions that are NOT economic production, and are excluded from GDP. Two activities in slice A: - Future production. Intermediate goods will become part of GDP in the future when production is finished. To avoid double counting, we exclude these market transactions.
- Past production. Used items (cars, houses) produced before the start of our current time period. Because they are not current production and were included in GDP in a previous year, they are excluded from GDP
Slice A is excluded from GDP.
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PERFECT COMPETITION, LONG-RUN ADJUSTMENT A perfectly competitive industry undertakes a two-part adjustment to equilibrium in the long run. One is the adjustment of each perfectly competitive firm to the appropriate factory size that maximizes long-run profit. The other is the entry of firms into the industry or exit of firms out of the industry, to eliminate economic profit or economic loss. The end result of this long-run adjustment is a multi-faceted equilibrium condition that price is equal to marginal cost and average cost (both short run and long run).
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GREEN LOGIGUIN
[What's This?]
Today, you are likely to spend a great deal of time at a garage sale looking to buy either a wall poster commemorating next Thursday or a pair of gray heavy duty boot socks. Be on the lookout for vindictive digital clocks with revenge on their minds.
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This isn't me! What am I?
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Natural gas has no odor. The smell is added artificially so that leaks can be detected.
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"The road to success is always under construction. " -- Lily Tomlin, Actress
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VAR
Vector Autoregression
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