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Do Flow Rates Respond Asymmetrically to Water Level? Evidence from the Edwards Aquifer

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  • Bradley Ewing
  • Teresa Kerr
  • Mark Thompson

Abstract

This research examines the time series relationship between the Comal Springs flow rate and the water level in the Edwards Aquifer (Well J-17). The empirical methodology utilizes threshold autoregression (TAR) and momentum-TAR models that allow for asymmetry in responses and adjustments to a disequilibrium in the long-run cointegrating relationship. Based on the results, an asymmetric error-correction model (AECM) is proposed to characterize the short-run and long-run dynamic relationship between spring flow and water level. The results have implications for the management of water resources, water demand, and ecosystems.

Suggested Citation

  • Bradley Ewing & Teresa Kerr & Mark Thompson, 2006. "Do Flow Rates Respond Asymmetrically to Water Level? Evidence from the Edwards Aquifer," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1121-1129.
    • Handle: RePEc:taf:japsta:v:33:y:2006:i:10:p:1121-1129
    DOI: 10.1080/02664760600746905
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    References listed on IDEAS

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    4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
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