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MMLU-Pro / 717 / Suppose Q is a measure of output, K is a measure of capital stock in use, and L…

Problem

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question

Suppose Q is a measure of output, K is a measure of capital stock in use, and L is a measure of the size of the employed labor force. Q =AK^\betaL^\gamma is a much used form of production function. When \beta + \gamma = 1, it is known as a Cobb-Douglas production function. This function has many convenient properties: Marginal products of both labor and capital are positive if \beta and \gamma are. If \beta + \gamma = 1, the function has constant returns to scale. That is, if both inputs are increased in like proportion, output will increase in that same proportion. A doubling of both inputs, for example, will result in doubled output. Discuss how the concept of linear regression might be applied to estimate \beta and \gamma .

category

business

options

  1. Polynomial regression
  2. Linear progression
  3. Quantile regression
  4. Ridge regression
  5. Logistic regression
  6. Exponential regression
  7. Lasso regression
  8. Multiple regression
  9. Single regression
  10. Non-linear regression

src

stemez-Business

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Source and history

upstream_id / Original problem ID
717
task_id
9314c2c9-ca4a-5d16-9759-a23b57eab907
task_key
default--test--717
task_revision_id
1
config / split
default / test

Official source

initial import