IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170640.html

Crop Choice, Rotational Effects and Water Quality Consequence in Up-Mississippi River Basin: Connecting SWAT Model with Dynamic Land Use Model

Author

Listed:
  • Ji, Yongjie
  • Rabotyagov, Sergey
  • Kling, Catherine L.

Abstract

In this research, we propose a framework to connect SWAT model with a dynamic discrete choice based land use model. With the recent years of cropland data layers published by NASS, USDA and data complied from other sources, we apply this framework to land use change in Upper-Mississippi River Basin in different scenarios and evaluate water quality consequences associated with induced land use change.

Suggested Citation

  • Ji, Yongjie & Rabotyagov, Sergey & Kling, Catherine L., 2014. "Crop Choice, Rotational Effects and Water Quality Consequence in Up-Mississippi River Basin: Connecting SWAT Model with Dynamic Land Use Model," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170640, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea14:170640
    DOI: 10.22004/ag.econ.170640
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170640/files/AAEA2014_ID4393.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.170640?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
    ---><---

    References listed on IDEAS

    as
    1. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    Full references (including those not matched with items on IDEAS)

    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. Yusuke Matsuki, 2016. "A Distribution-Free Test of Monotonicity with an Application to Auctions," Working Papers e110, Tokyo Center for Economic Research.
    2. Taisuke Otsu & Martin Pesendorfer & Yuya Sasaki & Yuya Takahashi, 2022. "Estimation Of (Static Or Dynamic) Games Under Equilibrium Multiplicity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1165-1188, August.
    3. Bruneel-Zupanc, Christophe Alain, 2021. "Discrete-Continuous Dynamic Choice Models: Identification and Conditional Choice Probability Estimation," TSE Working Papers 21-1185, Toulouse School of Economics (TSE).
    4. Otsu, Taisuke & Pesendorfer, Martin & Takahashi, Yuya, 2013. "Testing for Equilibrium Multiplicity in Dynamic Markov Games," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 423, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    5. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    6. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    7. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Sep 2025.
    8. Sanjog Misra, 2013. "Markov chain Monte Carlo for incomplete information discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 117-153, March.
    9. Hema Yoganarasimhan, 2016. "Estimation of Beauty Contest Auctions," Marketing Science, INFORMS, vol. 35(1), pages 27-54, January.
    10. Mitsukuni Nishida, 2015. "Estimating a Model of Strategic Network Choice: The Convenience-Store Industry in Okinawa," Marketing Science, INFORMS, vol. 34(1), pages 20-38, January.
    11. Ertian Chen, 2025. "Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces," Papers 2501.18746, arXiv.org, revised Jun 2025.
    12. Minkyung Kim & K. Sudhir & Kosuke Uetake, 2019. "A Structural Model of a Multitasking Salesforce: Multidimensional Incentives and Plan Design," Cowles Foundation Discussion Papers 2199, Cowles Foundation for Research in Economics, Yale University.
    13. Maximiliano Dvorkin, 2021. "International trade and labor reallocation: misclassification errors, mobility, and switching costs," Working Papers 2021-014, Federal Reserve Bank of St. Louis, revised Jun 2024.
    14. Hugo Rojas-Romagosa & Johannes Bollen, 2018. "Estimating migration changes from the EU’s free movement of people principle," CPB Discussion Paper 385, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Aureo de Paula & Xun Tang, 2020. "Testable Implications of Multiple Equilibria in Discrete Games with Correlated Types," Papers 2012.00787, arXiv.org.
    16. Daisuke Adachi & Lars Skipper, 2025. "When Offshoring Threatens Jobs: Lifelong Education and Occupation Choice," RFBerlin Discussion Paper Series 25114, ROCKWOOL Foundation Berlin (RFBerlin).
    17. Hu, Yingyao & Xin, Yi, 2024. "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, vol. 242(2).
    18. Thibaut Lamadon & Elena Manresa & Stephane Bonhomme, 2016. "Discretizing Unobserved Heterogeneity," 2016 Meeting Papers 1536, Society for Economic Dynamics.
    19. Morris A. Davis & Jesse Gregory & Daniel A. Hartley & Kegon T. K. Tan, 2021. "Neighborhood effects and housing vouchers," Quantitative Economics, Econometric Society, vol. 12(4), pages 1307-1346, November.
    20. Nan Yang, 2018. "An Empirically Tractable Dynamic Oligopoly Model: Application to Store Entry and Exit in Dutch Grocery Retail," Marketing Science, INFORMS, vol. 37(6), pages 1029-1049, November.

    More about this item

    Keywords

    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea14:170640. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.