Skip to main content

A Review of Empirical Studies and Applications

  • Chapter
Panels for Transportation Planning

Part of the book series: Transportation Research, Economics and Policy ((TRES))

Abstract

This chapter documents the state of practice in empirical panel data collection and application. Over sixty studies using a large number of panels are analyzed, together with a brief statement of the advantages and disadvantages of the panel approach in contrast to a single cross-section and to other longitudinal designs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abe, M. (1991) A moving ellipsoid method for nonparametric regression and its application to logit diagnostics with scanner data. Journal of Marketing Research, 28, 339–346.

    Google Scholar 

  • Abeles, R.P. and Wise, L.L. (1980) Coping with attrition in a longitudinal survey: The case of project TALENT. Journal of Economics and Business, 32 (2), 170–181.

    Google Scholar 

  • Andrisani, P.J. (1980) Introduction and overview. Journal of Economics and Business, 32 (2), 89–94.

    Google Scholar 

  • Andrisani,P.J. (1980a) Longitudinal research and labor force behavior. Journal of Economics and Business, 32(2).

    Google Scholar 

  • Aneshensel, C.S., Becerra, R.M., Fielder, E.P. and Schuler, R.H. (1989) Participation of Mexican American female adolescents in a longitudinal panel survey. Public Opinion Quarterly, 53 (4), 548–562.

    Google Scholar 

  • Baanders, A., Garden, J.M. and Brog, W. (1984) Panels: Attractions and Pitfalls. Paper presented at PTRC Summer Meeting, Warwick.

    Google Scholar 

  • Bohman, M. and Sigvardsson, S. (1985) A prospective longitudinal study of adoption. In A.R. Nicol, ed., Longitudinal Studies in Child Psychology and Psychiatry, John Wiley and Sons, Chichester, 137–155.

    Google Scholar 

  • Borsch-Supan, A. (1987) The Role of Education: Mobility Increasing or Mobility Impeding? Working Paper No. 2329. National Bureau of Economic Research, Cambridge, Massachusetts.

    Google Scholar 

  • Borsch-Supan, A. (1990) Panel data analysis of housing choices. Regional Science and Urban Economics, 20, 65–82.

    Google Scholar 

  • Bound, J., Brown, C., Duncan, G.J. and Rogers, W.L. (1990) Measurement error in cross-sectional and longitudinal labor market surveys: Validation study evidence. In J. Hartog, G. Ridder and J. Theeuwes, J., eds., Panel Data and Labor Market Studies, Elsevier Science Publishers, Amsterdam, 1–19.

    Google Scholar 

  • Brandtstädter, J. and Baltes-Götz, B. (1990) Personal control over development and quality of life perspectives in adulthood. In P.B. Baltes, and M.M. Baltes, eds., Successful Aging: Perspectives from the Behavioral Sciences, Cambridge University, Press, Cambridge.

    Google Scholar 

  • Bray, D.W. and Howard, A. (1983) The AT & T longitudinal studies of managers. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 266–312.

    Google Scholar 

  • Brown, G.W. and Rutter, M. (1966) The measurement of family activities and relationships: A methodological study. Human Relations, 19, 241–263.

    Google Scholar 

  • Brown, J.N. (1989) Why do wages increase with tenure? On-the-job training and life-cycle wage growth observed within firms. American Economic Review, 79 (5), 971–991.

    Google Scholar 

  • Bunch, D.S. and Krramura, R. (1989) Multinomial Probit Model Estimation Revisited: Testing of New Algorithms and Evaluation of Alternative Model Specifications for Trinomial Models of Household Car Ownership. Research Report UCD-TRG-RR-89–4. Transportation Research Group, University of California, Davis.

    Google Scholar 

  • Carr-Hill, R. (1985) Characterizing pregnancy histories. In M. Proctor and P. Abell, Sequence Analysis, Surrey Conferences on Sociological Theory and Method 2, Gower, Aldershot, England, 41–67.

    Google Scholar 

  • Chamberlain,G. (1978) Omitted variable bias in panel data: Estimating the returns to schooling. Annales De L’Insee,30/31, 49–63.

    Google Scholar 

  • Chintagunta, P.K., Jain, D.C. and Vn.cAssar, N.J. (1991) Investigating heterogeneity in brand preferences in logit models for panel data. Journal of Marketing Research, 28, 417–428.

    Google Scholar 

  • Clarke, M. and Jephcott, J. (1982) A fuel usage panel. In Seminar on the Effective Use of Panels, Lucerne, Switzerland, 20th-22nd October, 153–169.

    Google Scholar 

  • Costa, P.T. JR., Mcrae, R.R. and Arenberg, D. (1983) Recent longitudinal research on personality and aging. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 222–265.

    Google Scholar 

  • Cunningham, W.R. and Owens, W.A. JR. (1983) The Iowa State study of the adult development of intellectual abilities. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 20–39.

    Google Scholar 

  • Davies, R. and Crouchley, R. (1985) Gender effects in voting behavior. In M. Procter and P. Abel, Sequence Analysis. Surrey Conferences on Sociological Theory and Method 2, Gower, Aldershot, England, 84–98.

    Google Scholar 

  • Desmotfes, J. and Pinet, B. (1982) Consumer panels used to measure economic consequences of socio-demographic trends. In Seminar on the Effective Use of Panels, Lucerne, Switzerland, 20th-22nd October, 109–117.

    Google Scholar 

  • Ddc, M.C. (1985), Medium Term Dynamics of Change in Travel Behavior and the Role for a Dwelling-Based Panel Survey Design. Paper to UTSG Conference, Birmingham.

    Google Scholar 

  • Duncan, G.J. (1983) The implications of changing family composition for the dynamic analysis of family economic well-being. In Panel Data on Incomes, Papers from June 1982 Conference on the Analysis of Panel Data on Incomes, The International Centre for Economics and Related Disciplines, London School of Economics.

    Google Scholar 

  • Duncan, G.J. and Hill, D.H. (1985) An Investigation of the Extent and Consequences of Measurement Error in Labor Economic Survey Data. Survey Research Center, University of Michigan, Ann Arbor.

    Google Scholar 

  • Duncan, G.J. and Hu., M.S. (1984) Conceptions of Longitudinal Households (Draft). Institute for Social Research, University of Michigan. Ann Arbor.

    Google Scholar 

  • Duncan, G.J. and Kalton, G. (1985) Issues of Design and Analysis of Surveys Across Time. Paper to Centenary Session of the International Statistical Institute, Amsterdam.

    Google Scholar 

  • Duncan, G.J., Hill, D.H. and Ponza, M. (1984) How Representative is the PSID?: A Response to Some Questions Raised in the Unicon Report. Survey Research Center, University of Michigan, Ann Arbor.

    Google Scholar 

  • Dunn, R., Reader, S. and Wrigley,N. (1983) An investigation of the assumptions of the NBD model as applied to purchasing at individual stores. Applied Statistics, 32(3).

    Google Scholar 

  • Dynarski, M. and Sheffrin, S.M. (1985) Housing purchases and transitory income: A study with panel data. Review of Economics and Statistics, 67 (2), 195–204.

    Google Scholar 

  • Fallon,I. (1992) Major’s image vital as focus switches to floating voters–General Election 1992. Sunday Times,3 March.

    Google Scholar 

  • Farrington, D.P. (1988) Studying changes within individuals: The causes of offending. In M. Rutter, ed., Studies of Psychological Risk: The Power of Longitudinal Data, Cambridge University Press, Cambridge, 158–183.

    Google Scholar 

  • Featherman, D.L. (1980) Retrospective longitudinal research: Methodological considerations. Journal of Economics and Business, 32 (2), 152–169.

    Google Scholar 

  • Fogelman, K. (1985) Exploiting longitudinal data: Example from the National Child Development Study. In A.R. Nicol, ed., Longitudinal Studies in Child Psychology and Psychiatry, John Wiley and Sons, Chichester.

    Google Scholar 

  • Fornell, C. (1992) A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 26, 6–21.

    Google Scholar 

  • Gaina, R. (1988) Income mobility in rural India. Economic Development and Cultural Change, 36, 279–302.

    Google Scholar 

  • Gath, A. (1985) Down’s Syndrome in the first nine years. In A.R. Nicol, ed., Longitudinal Studies in Child Psychology and Psychiatry, John Wiley and Sons, Chichester, 203–240.

    Google Scholar 

  • Gatto, J.P., Kelelian, H.H. and Stephan, S.W. (1989) Intrastate IntrLATA telecommunications demand modeling. Review of Business, 11 (2), 25–31.

    Google Scholar 

  • Gilbert, C.C.M. (1992) A duration model of automobile ownership. TransportationResearch,26B(2), 97–114.

    Google Scholar 

  • Giuliano, G. and Golob, T.F. (1990) Using longitudinal methods for analysis of a short-term demonstration project. Transportation, 17, 1–28.

    Google Scholar 

  • Giuliano, G. and Wachs, M. (1997) An employer panel for evaluating the effectiveness of trip reduction incentives. Chapter Five in this volume.

    Google Scholar 

  • Goldstein, H. (1976) A study of the response rate of sixteen-year-olds in the National Child Development Study. In K. Fogelman, ed., Britain’s Sixteen-Year-Olds,National Children’s Bureau.

    Google Scholar 

  • Golob, J.M., Schreurs, L.J.M. and Smit, J.G. (1985) The design and policy applications of a panel for studying changes in mobility over time. In Behavioral Research for Transport Policy, VNU Press, Utrecht, The Netherlands, 81–95.

    Google Scholar 

  • Goloa, T.F. (1989) The causal influences of income and car ownership on trip generation by mode. Journal of Transport Economics and Policy, 23, 141–162.

    Google Scholar 

  • Golob, T.F. (1990) Structural equation modeling of the dynamics of travel choice dynamics. In P. Jones, ed., Developments in Dynamic and Activity-Based Approaches to Travel Analysis, Gower Publishing Co., Brookfield, Vermont, 343–383.

    Google Scholar 

  • Gowa, T.F., Krraw1ura, R. and Supernak, J. (1997) A panel-based evaluation of the San Diego I-15 carpool lanes project. Chapter Four in this volume.

    Google Scholar 

  • Golob, T.F. and Meurs, H. (1986) Biases in response over time in a seven-day travel diary. Transportation, 13, 163–81.

    Google Scholar 

  • Golob, T.F. and Recker, W.W. (1987) Dynamic analysis of complex travel behavior using a subsample of the Dutch Mobility Panel. Institute of Transportation Studies, University of California, Irvine.

    Google Scholar 

  • Gown, T.F. and Wissen, L (1989) A joint household travel distance generation and car ownership model. Transportation Research,23B(6), 471–491.

    Google Scholar 

  • Golob, T.F., Van Wissen, L and Meurs, H. (1986) A dynamic analysis of travel demand. Transportation Research,20A(5), 401–414.

    Google Scholar 

  • Goodwin, P.B. (1986) A panel analysis of changes in car ownership and bus use. Traffic Engineering and Control, 27 (10), 519–525.

    Google Scholar 

  • Goodwin, P.B. (1988) Circumstances in which people reduce car ownership: A comparative analysis of three panel data sets. Journal of International Association of Traffic and Safety Sciences, 12 (2), 60–65.

    Google Scholar 

  • Goodwin, P.B. (1989) Family changes and public transport use 1984–1987: A dynamic analysis using panel data. Transportation, 16, 121–154.

    Google Scholar 

  • Goodwin, P.B. and Layzell, A.D. (1985) Longitudinal analysis for public transportation policy issues. In G.R.M. Jansen, P. Nijkamp, and C.J. Ruijgrok, eds., Transportation and Mobility in an Era of Transition,Elsevier Science Publishers (North Holland), 185–197.

    Google Scholar 

  • Goodwin, P.B. and Mogridge, M.J.H. (1981) Hypotheses for a fully dynamic model of car ownership. International Journal of Transport Economics, 8, 313–326.

    Google Scholar 

  • Goodwin,P.B., Dix, M.C. and Layzell,A.D. (1987) The case for heterodoxy in longitudinal analysis. Transportation Research,21A(4/5), 363–376.

    Google Scholar 

  • Goodwin,P.B., Kitamura, R. and Meurs,H. (1990) Some principles of dynamic analysis of travel demand. In Developments in Dynamic and Activity-Based Approaches to Travel Analysis,Gower Publishing Co., Brookfield, Vermont.

    Google Scholar 

  • Goulias,K.G., Pendyala, R.M. and Kitamuita, R. (1992) Updating a panel survey questionnaire. In Selected Readings in Transport Survey Methodology,Eucalyptus Press, Melbourne, Australia.

    Google Scholar 

  • Graham, P. and Rutter, M. (1968) The reliability and validity of the psychiatric assessment of the child. Il. Interview with the parent. British Journal of Psychiatry, 114, 581–592.

    Google Scholar 

  • Guy, C., Wrigley, N., O’brien, L. and Hiscocks, G. (1983) The Cardiff Consumer Panel: A Report on the Methodology. Papers in Planning Research 68, Department of Town Planning, University of Wales Institute of Science and Technology, Cardiff.

    Google Scholar 

  • Hamer, R., Kroes, E. and Van Ootstroom, H. (1991) Teleworking in the Netherlands: An evaluation of changes in travel behavior. Transportation, 18, 365–382.

    Google Scholar 

  • Hensher, D.A. (1985) Longitudinal surveys in transport: An assessment. In E.S. Ampt, A.J. Richardson, W. Brog, eds., New Survey Methods in Transport, VNU Science Press, Utrecht, The Netherlands, 77–97.

    Google Scholar 

  • Hensher,D.A. (1987) Issues in the pre-analysis of panel data. Transportation Research,21A(4/5), 265–285.

    Google Scholar 

  • Hensher, D.A. (1989) An assessment of attrition in a multi-wave panel of households. In J. Hauer, H. Timmermans, and N. Wrigley, eds., Urban Dynamics and Spatial Choice Behavior, Kluwer Academic Publishers, Dordrecht, 105–124.

    Google Scholar 

  • Hensher, D.A. (1997) The timing of change: Discrete and continuous time panels in transportation. Chapter Twelve in this volume.

    Google Scholar 

  • Hensher,D.A. and Le Plastrier,V. (1985) Towards a dynamic discrete-choice model of household automobile fleet size and composition. Transportation Research,19B(6), 481–496.

    Google Scholar 

  • Hensher, D.A. and Smith, N.C. (1985) Longitudinal surveys. Workshop Summaries in E.S. Ampt, A.J. Richardson, and W. Brog, eds., New Survey Methods in Transport, VNU Science Press, Utrecht, The Netherlands, 41–44.

    Google Scholar 

  • Hensher, D.A., Barnard, P.O., Smith, N.C. and Milthorpe, F.M. (1989) Modeling the dynamics of car ownership and use: A methodological and empirical synthesis. In International Association of Travel Behavior, eds., Travel Behavior Research, Avebury, Aldershot, England, 141–173.

    Google Scholar 

  • Hensher, D.A., Battellino, H.C. and Gee, J.L. (1991a) The Role of Stated Preference and Discrete Choice Models in Identifying Community Preferences for Traffic Management Devices, Institute of Transport Studies, Working Paper 91–4, Graduate School of Management and Public Policy, The University of Sydney.

    Google Scholar 

  • Hensher, D.A., Milthorpe, F.W.and Smith, N.C. (1990) The demand for vehicle use in the urban household sector: Theory and empirical evidence. Journal of Transport Economics and Policy, 24 (2), 119–137.

    Google Scholar 

  • Hensher, D.A., Smith, N.C., Milthorpe, F.M. and Barnard, P.O. (1991b) Dimensions of Automobile Demand: A Longitudinal Study of Automobile Ownership and Use. (Studies in Regional Science and Urban Economics, Volume 22, North Holland, Amsterdam.

    Google Scholar 

  • Hsiao, C. (1986) Analysis of Panel Data. Cambridge University Press, Cambridge. In: Ma, Y. and Uchida, T. (1992) Panel Survey on the Effects of a Travel Time Information System in Osaka. Paper to the First U.S. Conference on Panels for Transportation Planning, October 25–27, Lake Arrowhead, California.

    Google Scholar 

  • Institute for Social Research (1969) A Longitudinal Study of Family Economics: A Brief Description of an Ongoing Panel Study. The University of Michigan, Ann Arbor, Michigan.

    Google Scholar 

  • Jarvik, L.F. and Bank, L. (1983) Aging twins: Longitudinal psychometric data. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 40–63.

    Google Scholar 

  • Jensen, P., and Westergrd-Nielsen, N. (1990) Temporary layoffs. In J. Hartog, G. Ridder, and J. Theeuwes, eds. Panel Data and Labor Market Studies, Elsevier Science Publishers (North-Holland), Amsterdam, 173–189.

    Google Scholar 

  • Johnson, M. and Cornell, R. (1982) AMOCO (U.K.’s) use of the R.B.L.–Forecast motorists’ diary panel in petrol marketing. In Seminar on the Effective Use of Panels, Lucerne, Switzerland, 20th-22nd October, 171–186.

    Google Scholar 

  • Jorgensen, F. and Wentzel-Larsen, T. (1990) Forecasting car holding, scrappage and new car purchase in Norway. Journal of Transport Economics and Policy, 24 (2), 139–156.

    Google Scholar 

  • Kalton, G. (date unknown) Handling Wave Non-Response in Longitudinal Surveys. University of Michigan, Ann Arbor.

    Google Scholar 

  • Katz, M. and Jephcott, J. (1982) A booking-in system for a large panel. In Seminar on the Effective Use of Panels, Lucerne, Switzerland, 20th-22nd October, 13–25.

    Google Scholar 

  • Kistl, L. (1985) Timing of surveys for public policy. Australian Journal of Statistics, 28 (1), 1–12.

    Google Scholar 

  • Krtamura, R. (1987) A panel analysis of household car ownership and mobility. Proceeding of Japan Society of Civil Engineers 338/1V-7 (Infrastructure Planning and Management), 13–37.

    Google Scholar 

  • Kitamura, R. (1988) A dynamic model system of household car ownership, trip generation and modal split: Model development and simulation experiments. Proceedings of 14th Australian Road Research Board Conference, Part 3, Australian Road Research Board, Vermont South, Victoria, Australia, 96–111.

    Google Scholar 

  • Kitaniura, R. (1989a) Guest editorial. Transportation, 16 (2), 97–98.

    Google Scholar 

  • Kitamura, R. (1989b) A causal analysis of car ownership and transit use. Transportation, 16 (2), 155–173.

    Google Scholar 

  • Kitamura, R. (1990) Panel analysis in transportation planning: An overview. Transportation Research,21A(6), 401–415.

    Google Scholar 

  • Kitamura, R. and BovY, P.H.L. (1987) Analysis of attrition biases and trip reporting errors for panel data. Transportation Research,21A(4/5), 287–302.

    Google Scholar 

  • Kitamura, R. and Bunch, D.S. (1990) Heterogeneity and state dependence in household car ownership: A panel analysis using ordered-response probit models with error components. In M. Koshi, ed., Transportation and Traffic Theory,Elsevier Science Publishing Co., Amsterdam.

    Google Scholar 

  • Klerman, J.A. and Lemowrrz, A. (1990) Womens’ labor market mobility: evidence from the NLS–child care and women’s return to work after childbirth. American Economic Review, 80 (2), 284–288.

    Google Scholar 

  • Kolvin, I., Miller, F.J.W., Fleeting, M. and Kilvin, P.A. (1988) Risk/protective factors for offending with particular reference to deprivation. In M. Rutter, ed., Studies Of Psychological Risk: The Power Of Longitudinal Data, Cambridge University Press, Cambridge, 77–95.

    Google Scholar 

  • Layzell, A. (1983) Panel and Continuous-Time Data Sets: Their Scope and Some Initial Results. Paper to UTSG Conference, London.

    Google Scholar 

  • Lehnen, R.G. and Koch, G.G. (1974) Analyzing panel data with uncontrolled attrition. Public Opinion Quarterly, 38, 40–56.

    Google Scholar 

  • Loos, A., Kroes, E. and Van Der Hoorn, T. (1992) The Household Panel Survey in the M10 Amsterdam Beltway Study. Paper to the First U.S. Conference on Panels for Transportation Planning, October 25–27, Lake Arrowhead, California.

    Google Scholar 

  • Maddala, G.S. (1987) Recent developments in the econometrics of panel data analysis. Transportation Research, 21A (4/5), 303–326.

    Google Scholar 

  • Markus, G.B. (1979) Analyzing Panel Data. Quantitative Applications in the Social Sciences No. 7–18. Sage, Newbury Park.

    Google Scholar 

  • Maughn, B. (1988) School experiences as risk/protective factors. In M. Rutter, ed., Studies of Psychological Risk: The Power of Longitudinal Data, Cambridge University Press, Cambridge, 200–220.

    Google Scholar 

  • Mcgloughlin, I. and Lockyear, J. (1982) Practical use of consumer panels–a North American view. In Seminar on the Effective Use of Panels, Lucerne, Switzerland, 20th-22nd October, pp 1–11.

    Google Scholar 

  • Menefee, J.A. (1982) The demand for consumption time: A longitudinal perspective. Journal of Consumer Research, 8, 391–397.

    Google Scholar 

  • Meurs, H. and Van Wissen, L (1987), Analysis of Panel Data. Presented at Round Table Conference on the Analysis of Panel Data, The Hague.

    Google Scholar 

  • Meurs, H., VAN Wissen, L. and Visser, J. (1989) Measurement biases in panel data. Transportation, 16 (2), 175–194.

    Google Scholar 

  • Meyer, J.P., Bobocel, R. and Allen, N.J. (1991) Development of organizational commitment during the first year of employment: A longitudinal study of pre-and post-entry influences. Journal of Management, 17 (4), 717–733.

    Google Scholar 

  • Mizruchi, M.S. and Stearns, L.B. (1988) A longitudinal study of the formation of interlocking directorates. Administrative Science Quarterly, 33 (2), 194–211.

    Google Scholar 

  • Morgan, J.N., Dickinson, K., Dickinson, J., Bends, J. and Duncan, G. (1974) Five Thousand American Families - Patterns of Economic Progress (Vol. I: Introduction, and Vol. IV: Appendix E). Survey Research Center, Institute for Social Research, The University of Michigan, Ann Arbor.

    Google Scholar 

  • Moschis, G.P. and Moore, R.L. (1982) A longitudinal study of television advertising effects. Journal of Consumer Research, 9, 279–286.

    Google Scholar 

  • Murakami, E. and Ulberg, C. (1997) The Puget Sound Transportation Panel. Chapter Six in this volume.

    Google Scholar 

  • Murakami, E. and Watterson, W.T. (1990) Developing a household travel panel survey for the Puget Sound region. Transportation Research Record 1285, 40–46.

    Google Scholar 

  • Orcutt, G.H. (1974) Foreword, In J.N. Morgan, K. Dickinson, J. Dickinson, J. Benus, and G. Duncan, Five Thousand American Families - Patterns of Economic Progress (Vol. I: Introduction). Survey Research Center, Institute for Social Research, The University of Michigan, Ann Arbor.

    Google Scholar 

  • Pendyala, R.M., Goulias, K.G. and Kitamura, R. (1991) Impact of telecommuting on spatial and temporal patterns of household travel. Transportation, 18, 383–409.

    Google Scholar 

  • Peters, H.E. (1988) Retrospective versus panel data in analyzing lifecycle events. Journal of Human Resources, 23 (4), 488–513.

    Google Scholar 

  • Peterson, J.L. (1980) An agenda for socioeconomic life-cycle research. Journal of Economics and Business, 32 (2), 95–110.

    Google Scholar 

  • Pickup, L., Stokes, G., Meadowcropt, S., Goodwin, P., Tyson, B. and Kenny, F. (1991) Bus Deregulation in Metropolitan Areas (Chapter 12). Oxford Studies in Transport, Avebury, Aldershot, England.

    Google Scholar 

  • Potier, F. (1983) Survey of the French ambition and standard of living: Some results in the transport scope. New Survey Methods in Transport, 2nd. International Conference Australia - Supplementary Papers, Hungerford Hill, Australia.

    Google Scholar 

  • Powers, E.A., Goudy, W.J. and Keith, P.M., eds. (1985) Later Life Transitions: Older Males in Rural America. Kluwer Academic Publishers, Boston.

    Google Scholar 

  • Pulkkinen, L. (1988) Delinquent development: Theoretical and empirical considerations. In M. Rutter, ed. Studies of Psychological Risk: The Power of Longitudinal Data, Cambridge University Press, Cambridge, 184–199.

    Google Scholar 

  • Quinton, D. and Rurrar, M. (1985) Parenting behavior of mothers raised ‘in care’. In A.R. Nicol, ed., Longitudinal Studies in Child Psychology and Psychiatry, John Wiley and Sons, Chichester, 157–201.

    Google Scholar 

  • Quinton, D., Rurrer, M. and Rowlands, O. (1976) An evaluation of an interview assessment of marriage. Psychological Medicine, 6, 577–586.

    Google Scholar 

  • Ramaswamy, V. and Desarbo, W.S. (1990) SCULPTURE: A new methodology for deriving and analyzing hierarchical product-market structures from panel data. Journal of Marketing Research, 27, 418–427.

    Google Scholar 

  • Reddy, S.K. and Houx, S.L. (1991) The effects of market structure characteristics on competitive reaction intensity: A longitudinal analysis. Marketing Letters, 2 (3), 293–308.

    Google Scholar 

  • Kidder, G. (1990) Attrition in multi-wave panel data. In J. Hartog, G. Ridder, and J. Theeuwes, eds. Panel Data and Labor Market Studies, Elsevier Science Publishers (North-Holland), Amsterdam, 45–67.

    Google Scholar 

  • Rogosa, D. (1980) Comparisons of some procedures for analyzing longitudinal panel data. Journal of Economics and Business, 32 (2), 136–151.

    Google Scholar 

  • Rostand, F. and Fmraz, N. (1983) The coverage rate of Soluble Coffee Consumer Panel. In Seminar on the Effective Use of Panels–Supplement, Lucerne, Switzerland, 20th-22nd October, 19–35.

    Google Scholar 

  • Rudinger, G. and Thomae, H. (1990) The Bonn Longitudinal Study of Aging: Coping, life adjustment and life satisfaction. In P.B. Baltes and M.M. Baltes, eds., Successful Aging: Perspectives from the Behavioral Sciences, Cambridge University Press, Cambridge, 265–295.

    Google Scholar 

  • Rutter, M. and Brown, G. W. (1966) The reliability and validity of measures of family life and relationships in families containing a psychiatric patient. Social Psychiatry, 1, 38–53.

    Google Scholar 

  • Schale, K.W. (1983) The Seattle Longitudinal Study: A 21 year exploration of psychometric intelligence in adulthood. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York.

    Google Scholar 

  • Schale, K.W. (1990) The optimization of cognitive functioning in old age: Predictions based on cohort-sequential and longitudinal data. In P.B. Baltes and M.M. Baltes, eds. Successful Aging: Perspectives from the Behavioral Sciences, Cambridge University Press, Cambridge, 94–117.

    Google Scholar 

  • Schmriz-Scherzer, R. and Thomae, H. (1983) Constancy and change of behavior in old age: Findings from the Bonn Longitudinal Study on Aging. In K.W. Schale, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 191–221.

    Google Scholar 

  • Schwenzner, J.E. (1982) Experiences in industrial panels. In Seminar on the Effective Use of Panels–Supplement, Lucerne, Switzerland, 20th-22nd October, 1–18.

    Google Scholar 

  • Siegler, I.C. (1983) Psychological aspects of the Duke Longitudinal Studies. In K.W. Schaie, ed., Longitudinal Studies of Adult Psychological Development, Guilford Press, New York, 136–190.

    Google Scholar 

  • Simonson, I. (1990) The effects of buying decisions on consumer’s assessment of their tastes. Marketing Letters, 2 (1), 5–14.

    Google Scholar 

  • Stokes, G. (1988) The Impacts of a Bus Service Change in Littlemore, Oxford in 1984: A Longitudinal Analysis Using Travel Diary Data. Transport and Road Research Laboratory, Berkshire, England.

    Google Scholar 

  • Stokes, G. (1989) Bus Users and Car Choosers: An Analysis of the 1988 South Yorkshire Household Travel Survey. Transport Studies Unit, Oxford University, Oxford, England.

    Google Scholar 

  • Stokes, G. and Goodww, P.B. (1988a) Instability in the London Transport Market - Preliminary Analysis of the London Panel Survey, 1982–1985. Transport Studies Unit, Oxford University, Oxford, England.

    Google Scholar 

  • Stokes, G. and Goonww, P.B. (1988b) Travel Patterns in South Yorkshire in 1981, 1984 and 1986. Transport Studies Unit, Oxford University, Oxford, England.

    Google Scholar 

  • Thornton, A., Freedman, D.S. and Camburn, D. (1982) Obtaining respondent cooperation in family panel studies. Sociological Methods and Research, 11 (1), 3351.

    Google Scholar 

  • Uncles, M.D.,ed. (1988) Longitudinal Data Analysis: Methods and Applications. (London Papers in Regional Science, 18). Pion, London.

    Google Scholar 

  • Van Wissen, L.J.G. and Gown, T.F. (1992) A dynamic model of car fuel type choice and mobility. Transportation Research, 26B, 1, 77–96.

    Google Scholar 

  • Van Wissen,L.J.G. and Meurs, H.J. (1989) The Dutch Mobility Panel: Experiences and evaluation. Transportation,16(2), 99–119.

    Google Scholar 

  • Van De Pol, F. (1987) Panel Sampling Designs. Department of Statistical Methods, Netherlands Central Bureau of Statistics.

    Google Scholar 

  • Wiggins, L.M. (1973) Panel Analysis: Latent Probability Models for Attitude and Behavior Processes. (Progress in the Mathematical Sciences). Elsevier Scientific Publishing Company, Amsterdam.

    Google Scholar 

  • Willey, M., Miller, D. and Papacostas, C.S. (1991) A longitudinal comparison of bicycle and moped use by university students. Transportation Quarterly, 45 (3), 391–408.

    Google Scholar 

  • Winner, I.S. and Moore, W.L. (1989) Evaluating the effects of marketing mix variables on brand positioning. Journal of Advertising Research, 29 (1), 39–45.

    Google Scholar 

  • Wise, L.L., Mclaughlin, D.H. and Steele, L. (1979) The Project TALENT Data Bank Handbook. American Institutes for Research, Palo Alto, California.

    Google Scholar 

  • Wrigley, N. and Arm, R. (1984a) Stochastic panel-data models of urban shopping behavior: 1. Purchasing at individual stores in a single city. Environment and Planning A, 16, 629–650.

    Google Scholar 

  • Wrigley, N. and Dunn, R. (1984b) Stochastic panel-data models of urban shopping behavior: 2. Multistore purchasing patterns and the Dirichlet model. Environment and Planning A, 16, 759–778.

    Google Scholar 

  • Wrigley, N. and Dunn, R. (1984c) Stochastic panel-data models of urban shopping behavior: 3. The interaction of store choice and brand choice. Environment and Planning A, 16, 1211–1236.

    Google Scholar 

  • Wrigley, N. and Dunn, R. (1985) Stochastic panel-data models of urban shopping behavior: 4. Incorporating independent variables into the NBD and Dirichlet models. Environment and Planning A, 17, 319–331.

    Google Scholar 

  • Wrigley,N., Guy, C., Durci, R. and O’brien, L. (1985) The Cardiff Consumer Panel: Methodological aspects of the conduct of a long-term panel survey. Transactions, Institute of British Geographers.

    Google Scholar 

  • Wunnava,P.V. (1988) Life cycle union effects based on a pooled regression technique: Evidence from the PSID. Southern Economic Journal,54(4), 1020–1026.

    Google Scholar 

  • Wurzel, E. (1990) Staggered entry and unemployment durations: An application to German data. In J. Hartog, G. Ridder, and J. Theeuwes, eds. Panel Data and Labor Market Studies, Elsevier Science Publishers (North-Holland), Amsterdam, 119–134.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Raimond, T., Hensher, D.A. (1997). A Review of Empirical Studies and Applications. In: Golob, T.F., Kitamura, R., Long, L. (eds) Panels for Transportation Planning. Transportation Research, Economics and Policy. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2642-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2642-8_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5184-7

  • Online ISBN: 978-1-4757-2642-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics