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On testing for structural effects in electoral geography, using entropy-maximising methods to estimate voting patterns

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  • R J Johnston
  • A M Hay
  • D Rumley

Abstract

Entropy-maximising methods have been introduced in recent papers for estimating spatial variations in voting behaviour. The estimates can be used to test structural effect hypotheses. This paper illustrates such usage and discusses a major technical issue relating to it.

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  • R J Johnston & A M Hay & D Rumley, 1984. "On testing for structural effects in electoral geography, using entropy-maximising methods to estimate voting patterns," Environment and Planning A, Pion Ltd, London, vol. 16(2), pages 233-240, February.
  • Handle: RePEc:pio:envira:v:16:y:1984:i:2:p:233-240
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    1. Nijkamp, P. & Spronk, J., 1978. "Interactive multiple goal programming," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Blommestein, H.J. & Nijkamp, P., 1981. "Soft spatial econometric causality models," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. repec:cup:apsrev:v:48:y:1954:i:03:p:787-792_00 is not listed on IDEAS
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