Endogeneity is a potential anomaly in econometric models, which may cause inconsistent parameter estimates. Transport models are prone to this problem and applications that properly correct for it are scarce. This paper focuses on how to address this issue in the case of strategic urban mode choice models (i.e., the third stage of classic strategic transport models), possibly the main tool for the assessment of costly transport projects. To address this problem, we propose and validate, for the first time, adequate instruments that may be obtained from data that is already available in this context. The proposed method is implemented using the Control Function approach, which we use to detect and correct for endogeneity in a case study in V...
Earlier studies estimating the demand for local public services by means of the median voter model h...
Urban dynamics can be modeled using individual based approach, or more aggregated spatial processes ...
Transport planning is usually based on models’ forecasts, but the reliability of their outputs depen...
Endogeneity is an important issue that often arises in discrete choice models leading to biased esti...
We formulate and estimate a structural model for travel demand in which users have heterogeneous pre...
A model is said to be affected by endogeneity when its deterministic part is correlated with the err...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
In this paper we extend the Multiple Indicator Solution (MIS) so that it can also be used to account...
This paper uses an endogenous segmentation approach to model mode choice. This approach jointly dete...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
Endogeneity is an often neglected issue in empirical applications of discrete choice modelling despi...
Endogeneity arises in discrete choice models due to several factors and results in inconsistent esti...
Network planning models, which forecast the profitability of airline schedules, support many critica...
All steps of the demand model (generation, distribution, and mode choice) are now implemented endoge...
Network planning models, which forecast the profitability of airline schedules, support many critica...
Earlier studies estimating the demand for local public services by means of the median voter model h...
Urban dynamics can be modeled using individual based approach, or more aggregated spatial processes ...
Transport planning is usually based on models’ forecasts, but the reliability of their outputs depen...
Endogeneity is an important issue that often arises in discrete choice models leading to biased esti...
We formulate and estimate a structural model for travel demand in which users have heterogeneous pre...
A model is said to be affected by endogeneity when its deterministic part is correlated with the err...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
In this paper we extend the Multiple Indicator Solution (MIS) so that it can also be used to account...
This paper uses an endogenous segmentation approach to model mode choice. This approach jointly dete...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering...
Endogeneity is an often neglected issue in empirical applications of discrete choice modelling despi...
Endogeneity arises in discrete choice models due to several factors and results in inconsistent esti...
Network planning models, which forecast the profitability of airline schedules, support many critica...
All steps of the demand model (generation, distribution, and mode choice) are now implemented endoge...
Network planning models, which forecast the profitability of airline schedules, support many critica...
Earlier studies estimating the demand for local public services by means of the median voter model h...
Urban dynamics can be modeled using individual based approach, or more aggregated spatial processes ...
Transport planning is usually based on models’ forecasts, but the reliability of their outputs depen...