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Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes

Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes. Outline. Returns to Scale Technological Progress. Returns to Scale.

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Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes

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  1. Lecture # 11a Inputs and Production Functions (conclusion) Lecturer: Martin Paredes

  2. Outline Returns to Scale Technological Progress

  3. Returns to Scale Definition: Returns to scale is the concept that tells us the percentage increase in output when all inputs are increased by a given percentage. Returns to scale = % Output . % ALL Inputs

  4. Returns to Scale • Suppose we increase ALL inputs by a factor  • Suppose that, as a result, output increases by a factor . • Then: • If  >  ==> Increasing returns to scale • If  =  ==> Constant returns to scale • If  <  ==> Decreasing returns to scale.

  5. K Example: Returns to Scale • K0 Q0 L 0 L0

  6. K Example: Returns to Scale • K0 • K0 Q0 L 0 L0L0

  7. K Example: Returns to Scale • K0 Q0 • K0 Q0 L 0 L0L0

  8. K Example: Returns to Scale If  > , then we have Increasing returns to scale • K0 Q0 • K0 Q0 L 0 L0L0

  9. K Example: Returns to Scale If  = , then we have Constant returns to scale • K0 Q0 • K0 Q0 L 0 L0L0

  10. K Example: Returns to Scale If  < , then we have Decreasing returns to scale • K0 Q0 • K0 Q0 L 0 L0L0

  11. Returns to Scale Notes: • When a production process exhibits increasing returns to scale, there are costs advantages from large-scale operation. • Returns to scale need not be the same at different levels of production

  12. Returns to Scale Note: • Substantial difference between returns to scale and marginal product: • Returns to scale: All inputs increase in same proportion • Marginal product: Only one input increases, while the others remain constant • Therefore, it is possible to have diminishing marginal returns and increasing/constant returns to scale.

  13. Example: Returns to scale Suppose a Cobb-Douglas utility function: Q1 = AL1K1 ==> Q2 = A(L1)(K1) = + AL1K1 = +Q1 Hence, returns to scale depends on the value of  + . If  +  = 1 ==> Constant returns to scale (CRS) If  +  < 1 ==> Decreasing returns to scale (DRS) If  +  > 1 ==> Increasing returns to scale (IRS)

  14. Technological Progress Definition: Technological progress shifts the production function by allowing the firm to: • Produce more output from a given combination of inputs, or • Produce the same output with fewer inputs.

  15. Technological Progress • Three categories: • Neutral technological progress • Labor-saving technological progress • Capital-saving technological progress

  16. Technological Progress Definition: Neutral technological progress shifts the isoquant inwards, but leaves the MRTSL,K unchanged along any ray from the origin • In other words, for any given capital-labor ratio, the MRTSL,K remains unaffected.

  17. Example: Neutral technological progress K Q = 100 before K/L L

  18. Example: Neutral technological progress K Q = 100 before Q = 100 after K/L L

  19. Example: Neutral technological progress K Q = 100 before Q = 100 after MRTS remains same K/L L

  20. Technological Progress Definition: Labor-saving technological progress results in a decrease in theMRTSL,K along any ray from the origin

  21. Example: Labor Saving Technological Progress K Q = 100 before K/L L

  22. Example: Labor Saving Technological Progress K Q = 100 before Q = 100 after K/L L

  23. Example: Labor Saving Technological Progress K Q = 100 before Q = 100 after MRTS gets smaller K/L L

  24. Technological Progress Definition: Capital-saving technological progress results in an increase in theMRTSL,K along any ray from the origin

  25. Example: Capital-saving technological progress K Q = 100 before K/L L

  26. Example: Capital-saving technological progress K Q = 100 before Q = 100 after K/L L

  27. Example: Capital-saving technological progress K Q = 100 before Q = 100 after MRTS gets larger K/L L

  28. Example: Technological Progress Before: Q = 500 (L + 3K) MRTSL,K = MPL = 500 = 1 MPK 1500 3 After: Q = 1000 (0.5L + 3K) MRTSL,K = MPL = 500 = 1 MPK 3000 6 Since MRTSL,K has decreased, technological progress is labor-saving

  29. Summary Production function is analogous to utility function and is analyzed by many of the same tools. One of the main differences is that the production function is much easier to infer/measure than the utility function. Both engineering and econometric techniques can be used to do so.

  30. Summary Technological progress shifts the production function by allowing the firm to achieve more output from a given combination of inputs (or the same output with fewer inputs). Returns to scale is a long run concept: It refers to the percentage change in output when all inputs are increased a given percentage. The production function is cardinal, not ordinal

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