Confidence intervals to bound the value of time
By P. Armstrong, Rodrigo A. Garrido, Juan de Dios Ortúzar. 2001
164 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/387029d5dc0b640d18498f43ab739713f63fc9c7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stephane Hess
- John M. Rose
- Kenneth Small
- Ricardo A. Daziano
- Denis Bolduc
- M. F. Yáñez
- David A. Hensher
- Juan de Dios Ortúzar
In Transportation
- Stephane Hess
- John M. Rose
- Kenneth Small
- Denis Bolduc
- Ricardo A. Daziano
- M. F. Yáñez
- Juan de Dios Ortúzar
- Sebastián Raveau
Citations in the corpus
- Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence (2005, methodology): “WTP values calculated as the ratio of all attribute parameters and the RENT coefficient(5) are shown in table 2, together with confidence intervals calculated according to Armstrong et al (2001).”
- Calculating Errors for Measures Derived from Choice Modeling Estimates (2012, methodology): “that the second derivative at the optimum applies everywhere, we can obtain an approximate view of how the value of the function declines away from the optimum; Daly and Zachary (1975) and Armstrong et al. (2001) are exceptions.”
- Valuation of Travel Time (2012, methodology): “Thus there is often no need to apply more complex methods, such as Monte Carlo simulation, which are analyzed by Armstrong et al. (2001).12 However, simulation may be necessary in more complex models that include error components or in which the value of time is a more complex function of…”
- The impact of service and government-policy attributes on consumer preferences for electric vehicles in China (2019, result): “For example, Helveston et al. (2015) find that Chinese consumers are willing to pay US$3,000 for 10 We have also tried other methods for calculating WTP confidence interval, such as the asymptotic t-test method (Armstrong et al., 2001), which yield similar results to what is reported in the paper.”
- Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models (2010, methodology): “(23); for the random parameter model, the population mean was used as proposed by Silano and Ortúzar (24).”
- Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach (2010, result): “The distributional effects captured by the LC and LCRPL are consistent with the findings from previous studies (Armstrong et al., 2001) where individuals with higher income are willing to pay more for site-specific attributes.”
- Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently? (2009, methodology): “5Standard errors of the ratios were obtained using simulation methods taking into account the asymptotic normal distribution of estimators (cf. Armstrong et al., 2001).”
- Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model (2013, methodology): “Even though the indicator variables are ratings (1-5), we consider them as being continuous according to standard practice in latent variable models.”