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A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities
16 references·12 citing·45 second hop
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this work references cited by second hop

References

  • 1981Biases in Dynamic Models with Fixed Effects8,724 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 1985Panel data from time series of cross-sections1,443 cited
  • 2005Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models1,027 cited
  • 2007Efficient Estimation of Time-Invariant and Rarely Changing Variables in Finite Sample Panel Analyses with Unit Fixed Effects902 cited
  • 2011Modeling Dynamics in Time-Series–Cross-Section Political Economy Data825 cited
  • 2005Concepts of Price Elasticities of Transport Demand and Recent Empirical Estimates: An Interpretative Survey403 cited
  • 2004Transit Price Elasticities and Cross - Elasticities369 cited
  • 1992Can Cohort Data be Treated as Genuine Panel Data?263 cited
  • 2002Determinants of car ownership in rural and urban areas: a pseudo-panel analysis182 cited
  • 1999ESTIMATION OF A DYNAMIC CAR OWNERSHIP MODEL: A PSEUDO-PANEL APPROACH157 cited
  • 2003The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators116 cited
  • 2002The Demand for Local Bus Services in England115 cited
  • 1998Establishing A Fare Elasticity Regime for Urban Passenger Transport83 cited

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2010
Measuring the structural determinants of urban travel demand
79 cited
  • 2009A dynamic panel analysis of urban metro demand59 cited
  • Cited by

    • 2015Multi-period Research Designs for Identifying Causal Effects of Built Environment Characteristics on Travel Behaviour47 cited
    • 2015The causal effect of the great recession on childlessness of white American women39 cited
    • 2020Factors influencing demand for public transport in Colombia38 cited
    • 2015Beyond the Data Smog?21 cited
    • 2021BRT fare elasticities from smartcard data: Spatial and time-of-the-day differences17 cited
    • 2021Effects of pricing and infrastructure on car ownership: A pseudo-panel-based dynamic model15 cited
    • 2016Longitudinal Analysis of Car Ownership and car Travel Demand in the Paris Region using a Pseudo-panel Data Approach15 cited
    • 2018Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades15 cited
    • 2019Vehicle quota control, transport infrastructure investment and vehicle travel: A pseudo panel analysis14 cited
    • 2024Missing Typical Weekdays in Travel Surveys: A Pseudo-Panel Approach to Explore Weekly Travel Patterns13 cited
    • 2020Empirical Analysis of Long-Run Elasticities and Asymmetric Effects of Transit Demand Determinants5 cited
    • 2015Worker Attitude toward Bus Rapid Transit: Considering Dhaka, Bangladesh4 cited