IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v35y2003i2p179-188.html
   My bibliography  Save this article

Economic factors and traffic crashes in New Zealand

Author

Listed:
  • P. A. Scuffham

Abstract

The aim of this study was to examine the changes in the trend and seasonal patterns of fatal crashes in New Zealand in relation to changes in economic conditions between 1970 and 1994. The Harvey (Harvey and Durbin, Journal of the Royal Statistical Society, 149 (3), 187-227, 1986) Structural Time Series Model (STSM), an 'unobserved components' class of model, was used to estimate the quarterly number of fatal traffic crashes. Independent variables included distance travelled, the unemployment rate (UER), real gross domestic product per capita (RGDP), the proportion of motorcycles, the proportion of young males in the population, alcohol consumption per capita, the open road speed limit, and dummy variables for the 1973 and 1979 oil crises and seatbelt wearing laws. Distance travelled, RGDP, UER, and alcohol consumption per capita were significant factors in explaining the short-run dynamics of fatal crashes with the effect of RGDP greater than UER. Increases in either RGDP or UER were related with decreases in fatal crashes. The STSM is a feasible approach to modelling the effect of economic factors on traffic crashes whilst accounting for unobserved components.

Suggested Citation

  • P. A. Scuffham, 2003. "Economic factors and traffic crashes in New Zealand," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 179-188.
  • Handle: RePEc:taf:applec:v:35:y:2003:i:2:p:179-188
    DOI: 10.1080/0003684022000017566
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/0003684022000017566
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0003684022000017566?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Victor R. Fuchs, 1974. "Some Economic Aspects of Mortality in Developed Countries," International Economic Association Series, in: Mark Perlman (ed.), The Economics of Health and Medical Care, chapter 11, pages 174-201, Palgrave Macmillan.
    2. McCarthy, Patrick S., 1993. "The effect of higher rural interstate speed limits in alcohol-related accidents," Journal of Health Economics, Elsevier, vol. 12(3), pages 281-299, October.
    3. Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
    4. Robertson, L.S., 1996. "Reducing death on the road: The effects of minimum safety standards, publicized crash tests, seat belts, and alcohol," American Journal of Public Health, American Public Health Association, vol. 86(1), pages 31-34.
    5. Harvey, A. C., 1986. "The effects of seat belt legislation on British road casualities: A case study in structural modelling : A.C. Harvey and J. Durbing, Journal of the Royal Statistical Society, Series A 149 (1986) (in p," International Journal of Forecasting, Elsevier, vol. 2(4), pages 496-497.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Murali Adhikari & Krishna Paudel & Laxmi Paudel & James Bukenya, 2007. "Modelling swine supply response using a structural time series approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 467-472.
    2. Rohan Best & Paul J. Burke, 2019. "Fuel prices and road accident outcomes in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 53(2), pages 109-124, May.
    3. Yoshitsugu Kitazawa, 2010. "Size of economic activity and occurrence of fatal traffic accidents: a count panel data analysis on Fukuoka prefecture in Japan," Discussion Papers 41, Kyushu Sangyo University, Faculty of Economics.
    4. Elizabeth Kopits & Maureen Cropper, 2008. "Why Have Traffic Fatalities Declined in Industrialised Countries?: Implications for Pedestrians and Vehicle Occupants," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 129-154, January.
    5. Francisco Calvo-Poyo & José Navarro-Moreno & Juan de Oña, 2020. "Road Investment and Traffic Safety: An International Study," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    6. Shin-Jong Lin, 2009. "Economic fluctuations and health outcome: a panel analysis of Asia-Pacific countries," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 519-530.
    7. Taruwere Yakubu, Ahmed & Aremu Muhammed, Ismail, 2021. "Economic Condition And Road Transport Crashes In Nigeria: Evidence From State Level Data," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(2), pages 36-44, June.
    8. Murali Adhikari & Krishna Paudel & Jack Houstan & James Bukenya, 2007. "Dairy supply response under stochastic trend and seasonality," Applied Economics Letters, Taylor & Francis Journals, vol. 14(12), pages 887-891.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mark Hon & Soo-Keong Yong, 2004. "The price of owning a car: an analysis of auction quota premium in Singapore," Applied Economics, Taylor & Francis Journals, vol. 36(7), pages 739-751.
    2. Atkinson, A. C. & Koopman, S. J. & Shephard, N., 1997. "Detecting shocks: Outliers and breaks in time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 387-422, October.
    3. Broto Carmen & Ruiz Esther, 2009. "Testing for Conditional Heteroscedasticity in the Components of Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
    4. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
    5. Keeler, Theodore E., 1993. "Highway Safety, Economic Behavior, and Driving Environment," University of California Transportation Center, Working Papers qt9c27z2z1, University of California Transportation Center.
    6. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    7. Barnett, William A. & de Peretti, Philippe, 2009. "Admissible Clustering Of Aggregator Components: A Necessary And Sufficient Stochastic Seminonparametric Test For Weak Separability," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 317-334, September.
    8. Dilaver, Zafer & Hunt, Lester C, 2011. "Modelling and forecasting Turkish residential electricity demand," Energy Policy, Elsevier, vol. 39(6), pages 3117-3127, June.
    9. Paul Taubman & Sherwin Rosen, 1982. "Healthiness, Education, and Marital Status," NBER Chapters, in: Economic Aspects of Health, pages 121-140, National Bureau of Economic Research, Inc.
    10. Matteo Barigozzi & Marc Hallin, 2016. "Generalized dynamic factor models and volatilities: recovering the market volatility shocks," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 33-60, February.
    11. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2004. "Likelihood-Based Estimation of Latent Generalized ARCH Structures," Econometrica, Econometric Society, vol. 72(5), pages 1481-1517, September.
    12. Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
    13. Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
    14. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    15. Dilaver, Zafer & Hunt, Lester C., 2011. "Turkish aggregate electricity demand: An outlook to 2020," Energy, Elsevier, vol. 36(11), pages 6686-6696.
    16. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    17. Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.
    18. Li Wei & Ming-Chih Lee & Wan-Hsiu Cheng & Chia-Hsien Tang & Jing-Wun You, 2023. "Evaluating the Efficiency of Financial Assets as Hedges against Bitcoin Risk during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(13), pages 1-19, June.
    19. Tommaso Proietti, 2003. "Leave‐K‐Out Diagnostics In State‐Space Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 221-236, March.
    20. Philipp Adämmer & Martin T. Bohl, 2018. "Price discovery dynamics in European agricultural markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(5), pages 549-562, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:35:y:2003:i:2:p:179-188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.