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Forecasting Residential Burglary

By Derek Deadman

Abstract

Following the recent work of Dhiri et al (1999) at the Home Office predicting recorded burglary and theft for England and Wales to the year 2001, econometric and time series models have been constructed for predicting recorded residential burglary to the same date. A comparison between the Home Office econometric predictions and the less alarming econometric predictions made in this paper identifies the differences as stemming from the particular set of variables used in the models. However, these econometric models adopt an error-correction form which appears in both cases to be the\ud main reason why the models predict increases in burglary. To identify the role of error correction in these models, time series models have been built for the purpose of\ud com parison, all of which predict substantially lower numbers of residential burglaries. The next three years would appear to offer an opportunity to test the utility of error-correction models in the analysis of criminal behaviour

Topics: Residential Burglary, error correction, time-series forecasting
Publisher: Dept. of Economics, University of Leicester
Year: 2000
OAI identifier: oai:lra.le.ac.uk:2381/4446

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Citations

  1. and D.Pyle (1997), ‘Forecasting Recorded Property Crime Using a Time-Series Econometric M odel’, doi
  2. (1983). Applied Time Series and Box-Jenkins M odels,
  3. (1998). Crime and the Business Cycle in Post-W ar doi
  4. (1994). Crime and the Business Cycle in Post-W ar Britain’,
  5. D.Deadman and D.Pyle (2000), ‘The Relationship between Crime, Punishment and Economic Conditions. Is Reliable Inference Possible when Crimes are Under-Recorded?’, doi
  6. (1998). Economic Activity and Crime in the Long Run: An Empirical doi
  7. (1999). National Institute Economic Review, No.4. Pudney, S., D.Deadman and D.Pyle
  8. (1999). National Population Projections. Government Actuary’s Department. Office for National Statistics. Series
  9. S.Brand, R.Harries and R.Price (1999),M odelling and Predicting Property Crime Trends, Home Office Research Study 198, doi
  10. (1991). Testing the Relationship between Unemployment and Crime: A M ethodological Comment and Empirical Analysis using Time-Series Data for England and W ales’, doi
  11. (1970). Time Series Analysis; Forecasting and Control, Holden-Day, doi
  12. (1990). Time Series Techniques for Economists,
  13. Trends in Crime and their Interpretation: A Study of Recorded Crime doi

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