Author: Terence J. Wales
Publisher:
ISBN: 9780868370392
Category : Consumption (Economics)
Languages : en
Pages : 28
Book Description
Estimation of Consumer Demand Systems with Binding Nonnegativity Constraints
Author: Terence J. Wales
Publisher:
ISBN: 9780868370392
Category : Consumption (Economics)
Languages : en
Pages : 28
Book Description
Publisher:
ISBN: 9780868370392
Category : Consumption (Economics)
Languages : en
Pages : 28
Book Description
Specification and Estimation of Consumer Demand Systems with Many Binding Non-negativity Constraints
Maximum Simulated Likelihood Estimation of Consumer Demand Systems with Binding Non-negativity Constraints
A Random Preferences Model for the Estimation of Consumer Demand Systems with Binding Nonnegativity Constraints
Author: Terence J. Wales
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 30
Book Description
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 30
Book Description
A Maximum Simulated Likelihood Estimation of Consumer Demand Systems with Zero Expenditures
Author: Kamhon Kan
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 36
Book Description
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 36
Book Description
A Comment on Consumer Demand Systems with Binding Non-negativity Constraints
Author: Michael R. Ransom
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 14
Book Description
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 14
Book Description
Specification and Estimation of Consumer Demand System with Many Binding Non-negativi Constraints
Specification and Estimation of Consumer Demand Systems with Many Binding Nogativity Constraints
Demand Systems Estimation
Author: Stanley R. Johnson
Publisher: Ames : Iowa State University Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 200
Book Description
Publisher: Ames : Iowa State University Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 200
Book Description
On Dual Approaches to Demand Systems Estimation in the Presence of Binding Quantity Constraints
Author: Channing Arndt
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Binding quantity constraints, especially non-negativity constraints, appear frequently in micro-level data sets. Two dual approaches to demand systems estimation in the presence of binding non-negativity constraints are reviewed. It is demonstrated that, in a demand systems context, the more commonly used approach for treating binding non-negativity constraints is incompatible with economic theory and thus produces inconsistent estimates of price response. Furthermore, Monte Carlo experiments indicate that bias can be substantial even if limit observations comprise a relatively small portion of the sample. The alternative, a direct maximum likelihood estimation approach, has desirable properties; however, analytical and computational difficulties severely hamper application. The numerical integration approach, employed here for direct maximum likelihood estimation, is presented. It is believed that this integration approach facilitates direct maximum likelihood estimation for some problems. Nevertheless, the ability to estimate complex demand systems remains constrained.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Binding quantity constraints, especially non-negativity constraints, appear frequently in micro-level data sets. Two dual approaches to demand systems estimation in the presence of binding non-negativity constraints are reviewed. It is demonstrated that, in a demand systems context, the more commonly used approach for treating binding non-negativity constraints is incompatible with economic theory and thus produces inconsistent estimates of price response. Furthermore, Monte Carlo experiments indicate that bias can be substantial even if limit observations comprise a relatively small portion of the sample. The alternative, a direct maximum likelihood estimation approach, has desirable properties; however, analytical and computational difficulties severely hamper application. The numerical integration approach, employed here for direct maximum likelihood estimation, is presented. It is believed that this integration approach facilitates direct maximum likelihood estimation for some problems. Nevertheless, the ability to estimate complex demand systems remains constrained.