A Simulation Evaluation of the Maximum Approximate Composite Marginal Likelihood (MACML) Estimator for the Generalized Heterogeneous Data Model (GHMD)

A companion paper proposed a new Generalized Heterogeneous Data Model (GHDM) to jointly model mixed types of dependent variables, including multiple nominal outcomes, multiple ordinal variables, and multiple count variables, as well as multiple continuous variables, and estimate the model using the maximum approximate composite marginal likelihood (MACML) method. This paper undertakes a simulation experiment within the virtual context of integrating residential location choice and travel behavior to evaluate the ability of the MACML approach to recover parameters. The simulation results show that the MACML approach effectively recovers underlying parameters, and also that ignoring the multi-dimensional nature of the relationship among mixed types of dependent variables can lead not only to inconsistent parameter estimation, but also have important implications for policy analysis.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB40 Transportation Demand Forecasting. Alternate title: A Simulation Evaluation of the Maximum Approximate Composite Marginal Likelihood (MACML) Estimator for the Generalized Heterogeneous Data Model(GHMD).
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Bhat, Chandra R
  • 0000-0002-0715-8121
  • Fu, Xuemei
  • Dubey, Subodh K
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 19p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Approximation (Mathematics); Estimation theory; Factor analysis; Life styles; Maximum likelihood method; Mode choice; Residential location; Simulation; Structural equation modeling; Travel behavior
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01559055
• Record Type: Publication
• Report/Paper Numbers: 15-5939
• Files: TRIS, TRB, ATRI
• Created Date: Mar 31 2015 4:56PM