Journal ArticleDOI
Trip generation models with permanent unobserved effects
TLDR
The results indicate that cross-sectional models for total tripmaking, transit and car usage may lead to seriously misleading results if used to assess the effects of changes in the travel environment.Abstract:
The objective of this paper is to examine whether the use of conventional trip generation models based on cross-sectional data will produce biased results. Panel data are used to control for omitted time invariant household effects. The methodology is based upon fixed and random effects models. The results indicate that cross-sectional models for total tripmaking, transit and car usage may lead to seriously misleading results if used to assess the effects of changes in the travel environment. The methodology seems to provide a proper way of taking unobserved heterogeneity into account. The difference in the results between fixed and random effects models may be the result of correlation between the omitted and included explanatory variables. A test for measurement error in the explanatory variables suggests that the results will not be significantly affected by this problem.read more
Citations
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Journal ArticleDOI
A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions
Chandra R. Bhat,Vamsi Pulugurta +1 more
TL;DR: In this article, the authors compare the advantages and disadvantages of the ordered-response and unordered-response auto ownership models empirically using several data sets and conclude that the appropriate choice mechanism is the unordered response structure.
The dynamics of household travel time expenditures and car ownership decisions
TL;DR: In this article, the authors establish causality in the interrelationships among household travel time expenditures by mode and car ownership, conditional upon exogenous changes in factors such as income, the number of household workers and drivers, and stage in the family life cycle.
Journal ArticleDOI
Structural characterization of the lipid A component of Pseudomonas aeruginosa wild-type and rough mutant lipopolysaccharides.
Vladimir A. Kulshin,Ulrich Zähringer,Buko Lindner,Karl-Erich Jäger,Boris A. Dmitriev,Ernst Th. Rietschel +5 more
TL;DR: The structure of the lipid A component of lipopolysaccharides isolated from two wild-type strains and one rough mutant of Pseudomonas aeruginosa was investigated using chemical analysis, methylation analysis, combined gas-liquid chromatography/mass spectrometry, laser-desorption mass spectrometric and NMR spectroscopy.
Journal ArticleDOI
Mode choices for trips to work in Geneva: an empirical analysis
André de Palma,Denis Rochat +1 more
TL;DR: In this article, the authors presented an empirical analysis of the mode choice for work trips in the city of Geneva (Switzerland) by means of a nested logit approach to describe the household's joint automobile ownership and usage of a car for work-trips.
Journal ArticleDOI
The dynamics of household travel time expenditures and car ownership decisions
TL;DR: In this paper, a dynamic structural equations model is developed that links four dependent travel behavior variables at two points in time, one year apart, to predict travel time by car, public transit, and nonmotorized modes.
References
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Journal ArticleDOI
Specification Tests in Econometrics
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.
Journal ArticleDOI
An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
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Book
Analysis of Panel Data
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Journal ArticleDOI
The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics
Trevor Breusch,Adrian Pagan +1 more
TL;DR: The Lagrange multiplier (LM) statistic as mentioned in this paper is based on the maximum likelihood ratio (LR) procedure and is used to test the effect on the first order conditions for a maximum of the likelihood of imposing the hypothesis.
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