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Theoretical foundations Microeconomic consumer theory Michel - PowerPoint PPT Presentation

Theoretical foundations Microeconomic consumer theory Michel Bierlaire Introduction to choice models The case of discrete goods Microeconomic theory of discrete goods The consumer selects the quantities of continuous goods: Q = ( q 1 , . .


  1. Theoretical foundations Microeconomic consumer theory Michel Bierlaire Introduction to choice models

  2. The case of discrete goods

  3. Microeconomic theory of discrete goods The consumer ◮ selects the quantities of continuous goods: Q = ( q 1 , . . . , q L ) ◮ chooses an alternative in a discrete choice set i = 1 , . . . , j , . . . , J ◮ discrete decision vector: ( y 1 , . . . , y J ), y j ∈ { 0 , 1 } , � j y j = 1. Note ◮ In theory, one alternative of the discrete choice combines all possible choices made by an individual. ◮ In practice, the choice set will be restricted for tractability

  4. Example Choices ◮ House location: discrete choice ◮ Car type: discrete choice ◮ Number of kilometers driven per year: continuous choice Discrete choice set Each combination of a house location and a car is an alternative

  5. Utility maximization Utility � z T y ) U ( Q , y , ˜ ◮ Q : quantities of the continuous good ◮ y : discrete choice z T = (˜ ◮ ˜ z J ) ∈ R K × J : K attributes of the J alternatives z 1 , . . . , ˜ z i , . . . , ˜ ◮ ˜ z T y ∈ R K : attributes of the chosen alternative ◮ θ : vector of parameters

  6. Optimization problem � z T y ) max U ( Q , y , ˜ Q , y subject to p T Q + c T y ≤ I � j y j = 1 y j ∈ { 0 , 1 } , ∀ j . where c T = ( c 1 , . . . , c i , . . . , c J ) is the cost of each alternative Solving the problem ◮ Mixed integer optimization problem ◮ No optimality condition ◮ Impossible to derive demand functions directly

  7. Solving the problem Step 1: condition on the choice of the discrete good ◮ Fix the discrete good, that is select a feasible y . ◮ The problem becomes a continuous problem in Q . ◮ Conditional demand functions can be derived: q ℓ | y = demand( I − c T y , p , ˜ z T y ) , or, equivalently, for each alternative i , q ℓ | i = demand( I − c i , p , ˜ z i ) . ◮ I − c i is the income left for the continuous goods, if alternative i is chosen. ◮ If I − c i < 0, alternative i is declared unavailable and removed from the choice set.

  8. Solving the problem Conditional demand functions demand( I − c i , p , ˜ z i ) , i = 1 , . . . , J Conditional indirect utility functions Substitute the demand functions into the utility: U i = � U (demand( I − c i , p , ˜ z i ) , ˜ z i ) = U ( I − c i , p , ˜ z i ) , i = 1 , . . . , J

  9. Solving the problem Step 2: Choice of the discrete good � J U ( I − c T y , p , ˜ z T y ) s.t. max y i = 1 . y i =1 ◮ Enumerate all alternatives. ◮ Compute the conditional indirect utility function U i . ◮ Select the alternative with the highest U i . ◮ Note: no income constraint anymore.

  10. Model for individual n U ( I n − c T z T max n y , p n , ˜ n y ) y Simplifications ◮ S n : set of characteristics of n , including income I n . ◮ Prices of the continuous goods ( p n ) are neglected. ◮ c in is considered as another attribute and merged into ˜ z n z n = { ˜ z n , c n } . max U in = U ( z in , S n ) i

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