IDEAS home Printed from https://ideas.repec.org/a/spr/jagbes/v28y2023i1d10.1007_s13253-022-00517-y.html
   My bibliography  Save this article

Inference in Spatial Experiments with Interference using the SpatialEffect Package

Author

Listed:
  • Cyrus Samii

    (New York University)

  • Ye Wang

    (University of North Carolina)

  • Jonathan Sullivan

    (University of Arizona)

  • P. M. Aronow

    (Yale University)

Abstract

This paper presents methods for analyzing spatial experiments when complex spillovers, displacement effects, and other types of “interference” are present. We present a robust, design-based approach to analyzing effects in such settings. The design-based approach derives inferential properties for causal effect estimators from known features of the experimental design, in a manner analogous to inference in sample surveys. The methods presented here target a quantity of interest called the “average marginalized response,” which is equal to the average effect of activating a treatment at an intervention node that is a given distance away, averaging ambient effects emanating from other intervention nodes. We provide a step-by-step tutorial based on the SpatialEffect package for R. We apply the methods to a randomized experiment on payments for community forest conservation in Uganda, showing how our methods reveal possibly substantial spatial spillovers that more conventional analyses cannot detect.

Suggested Citation

  • Cyrus Samii & Ye Wang & Jonathan Sullivan & P. M. Aronow, 2023. "Inference in Spatial Experiments with Interference using the SpatialEffect Package," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 138-156, March.
  • Handle: RePEc:spr:jagbes:v:28:y:2023:i:1:d:10.1007_s13253-022-00517-y
    DOI: 10.1007/s13253-022-00517-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13253-022-00517-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13253-022-00517-y?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. Cyrus Samii & Matthew Lisiecki & Parashar Kulkarni & Laura Paler & Larry Chavis & Birte Snilstveit & Martina Vojtkova & Emma Gallagher, 2014. "Effects of Payment for Environmental Services (PES) on Deforestation and Poverty in Low and Middle Income Countries: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages 1-95.
    2. Alexander Pfaff & Juan Robalino, 2017. "Spillovers from Conservation Programs," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 299-315, October.
    3. Jennifer M. Alix-Garcia & Katharine R. E. Sims & Patricia Yañez-Pagans, 2015. "Only One Tree from Each Seed? Environmental Effectiveness and Poverty Alleviation in Mexico's Payments for Ecosystem Services Program," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 1-40, November.
    4. Hudgens, Michael G. & Halloran, M. Elizabeth, 2008. "Toward Causal Inference With Interference," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 832-842, June.
    5. Victor Chernozhukov & Denis Chetverikov & Kengo Kato, 2012. "Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors," Papers 1212.6906, arXiv.org, revised Jan 2018.
    6. Yuchen Hu & Shuangning Li & Stefan Wager, 2021. "Average Direct and Indirect Causal Effects under Interference," Papers 2104.03802, arXiv.org, revised Jan 2022.
    7. Subhrendu K. Pattanayak & Sven Wunder & Paul J. Ferraro, 2010. "Show Me the Money: Do Payments Supply Environmental Services in Developing Countries?," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(2), pages 254-274, Summer.
    8. Yuchen Hu & Shuangning Li & Stefan Wager, 2022. "Average direct and indirect causal effects under interference [Estimating average causal effects under general interference, with application to a social network experiment]," Biometrika, Biometrika Trust, vol. 109(4), pages 1165-1172.
    9. Rodrigo A. Arriagada, & Paul J. Ferraro & Erin O. Sills & Subhrendu K. Pattanayak & Silvia Cordero-Sancho, 2012. "Do Payments for Environmental Services Affect Forest Cover? A Farm-Level Evaluation from Costa Rica," Land Economics, University of Wisconsin Press, vol. 88(2), pages 382-399.
    10. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    11. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
    12. Alexander Pfaff & Juan Robalino, 2017. "Spillovers from Conservation Programs," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 299-315, October.
    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. Robalino, Juan & Pfaff, Alexander & Sandoval, Catalina & Sanchez-Azofeifa, G. Arturo, 2021. "Can we increase the impacts from payments for ecosystem services? Impact rose over time in Costa Rica, yet spatial variation indicates more potential," Forest Policy and Economics, Elsevier, vol. 132(C).
    2. Haoge Chang, 2023. "Design-based Estimation Theory for Complex Experiments," Papers 2311.06891, arXiv.org.
    3. Börner, Jan & Baylis, Kathy & Corbera, Esteve & Ezzine-de-Blas, Driss & Honey-Rosés, Jordi & Persson, U. Martin & Wunder, Sven, 2017. "The Effectiveness of Payments for Environmental Services," World Development, Elsevier, vol. 96(C), pages 359-374.
    4. Luofeng Liao & Christian Kroer, 2023. "Statistical Inference and A/B Testing for First-Price Pacing Equilibria," Papers 2301.02276, arXiv.org, revised Jun 2023.
    5. Chervier, Colas & Costedoat, Sébastien, 2017. "Heterogeneous Impact of a Collective Payment for Environmental Services Scheme on Reducing Deforestation in Cambodia," World Development, Elsevier, vol. 98(C), pages 148-159.
    6. Yi Zhang & Kosuke Imai, 2023. "Individualized Policy Evaluation and Learning under Clustered Network Interference," Papers 2311.02467, arXiv.org, revised Feb 2024.
    7. Sims, Katharine R.E. & Alix-Garcia, Jennifer M., 2017. "Parks versus PES: Evaluating direct and incentive-based land conservation in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 8-28.
    8. Shyamsundar, Priya & Ahlroth, Sofia & Kristjanson, Patricia & Onder, Stefanie, 2020. "Supporting pathways to prosperity in forest landscapes – A PRIME framework," World Development, Elsevier, vol. 125(C).
    9. Walter Falcon & Gracia Hadiwidjaja & Ryan Edwards & Matthew Higgins & Rosamond Naylor & Sudarno Sumarto, 2022. "Using Conditional Cash Payments to Prevent Land-Clearing Fires: Cautionary Findings from Indonesia," Agriculture, MDPI, vol. 12(7), pages 1-17, July.
    10. Jones, Kelly W. & Muñoz Brenes, Carlos L. & Shinbrot, Xoco A. & López-Báez, Walter & Rivera-Castañeda, Andrómeda, 2018. "The influence of cash and technical assistance on household-level outcomes in payments for hydrological services programs in Chiapas, Mexico," Ecosystem Services, Elsevier, vol. 31(PA), pages 208-218.
    11. Blundo-Canto, Genowefa & Bax, Vincent & Quintero, Marcela & Cruz-Garcia, Gisella S. & Groeneveld, Rolf A. & Perez-Marulanda, Lisset, 2018. "The Different Dimensions of Livelihood Impacts of Payments for Environmental Services (PES) Schemes: A Systematic Review," Ecological Economics, Elsevier, vol. 149(C), pages 160-183.
    12. Oliveira Fiorini, Ana Carolina & Mullally, Conner & Swisher, Marilyn & Putz, Francis E., 2020. "Forest cover effects of payments for ecosystem services: Evidence from an impact evaluation in Brazil," Ecological Economics, Elsevier, vol. 169(C).
    13. Gwenolé Le Velly & Alexandre Sauquet & Sergio Cortina-Villar, 2017. "PES Impact and Leakages over Several Cohorts: The Case of the PSA-H in Yucatan, Mexico," Land Economics, University of Wisconsin Press, vol. 93(2), pages 230-257.
    14. Guigonan S. Adjognon & Daan van Soest & Jonas Guthoff, 2021. "Reducing Hunger with Payments for Environmental Services (PES): Experimental Evidence from Burkina Faso," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 831-857, May.
    15. Jones, Kelly W. & Mayer, Alex & Von Thaden, Juan & Berry, Z. Carter & López-Ramírez, Sergio & Salcone, Jacob & Manson, Robert H. & Asbjornsen, Heidi, 2020. "Measuring the net benefits of payments for hydrological services programs in Mexico," Ecological Economics, Elsevier, vol. 175(C).
    16. Wang Bing & K M Safiqul Islam & Md. Miraj Hossen, 2019. "Economic development through the implementation of environment policies:An empirical study from the South-West coastal areas of Bangladesh," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 292-300, October.
    17. Jan Börner & Kathy Baylis & Esteve Corbera & Driss Ezzine-de-Blas & Paul J Ferraro & Jordi Honey-Rosés & Renaud Lapeyre & U Martin Persson & Sven Wunder, 2016. "Emerging Evidence on the Effectiveness of Tropical Forest Conservation," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.
    18. Liu, Zhaoyang & Kontoleon, Andreas, 2018. "Meta-Analysis of Livelihood Impacts of Payments for Environmental Services Programmes in Developing Countries," Ecological Economics, Elsevier, vol. 149(C), pages 48-61.
    19. Von Thaden, Juan & Manson, Robert H. & Congalton, Russell G. & López-Barrera, Fabiola & Jones, Kelly W., 2021. "Evaluating the environmental effectiveness of payments for hydrological services in Veracruz, México: A landscape approach," Land Use Policy, Elsevier, vol. 100(C).
    20. Harding, Torfinn & Herzberg, Julika & Kuralbayeva, Karlygash, 2021. "Commodity prices and robust environmental regulation: Evidence from deforestation in Brazil," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).

    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:spr:jagbes:v:28:y:2023:i:1:d:10.1007_s13253-022-00517-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.