Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022

Julia Patricia Gordon Jones; Megan Barnes; Johanna Eklund; Paul J. Ferraro; Jonas Geldmann; Johan A. Oldekop; Judith Schleicher

doi:10.1111/cobi.14007

Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022

Julia Patricia Gordon Jones, Megan Barnes, Johanna Eklund, Paul J. Ferraro, Jonas Geldmann, Johan A. Oldekop, Judith Schleicher

School of Environmental & Natural Sciences

Research output: Contribution to journal › Comment/debate › peer-review

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Original language	English
Article number	e14007
Journal	Conservation Biology
Early online date	30 Sept 2022
DOIs	https://doi.org/10.1111/cobi.14007
Publication status	Published - 1 Dec 2022

Keywords

causal inference
counterfactual
hidden bias
impact evaluation
statistical matching

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10.1111/cobi.14007

jonesjpgj Conservation Biology Sept 2022Accepted author manuscript, 193 KBLicence: CC BY-NC

Cite this

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title = "Quantifying uncertainty about how interventions are assigned would improve impact evaluation in conservation: reply to Rasolofoson 2022",

keywords = "causal inference, counterfactual, hidden bias, impact evaluation, statistical matching",

author = "{Gordon Jones}, {Julia Patricia} and Megan Barnes and Johanna Eklund and Ferraro, {Paul J.} and Jonas Geldmann and Oldekop, {Johan A.} and Judith Schleicher",

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AU - Gordon Jones, Julia Patricia

AU - Barnes, Megan

AU - Eklund, Johanna

AU - Ferraro, Paul J.

AU - Geldmann, Jonas

AU - Oldekop, Johan A.

AU - Schleicher, Judith

N1 - https://doi.org/10.1111/cobi.14007

PY - 2022/12/1

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KW - causal inference

KW - counterfactual

KW - hidden bias

KW - impact evaluation

KW - statistical matching

U2 - 10.1111/cobi.14007

DO - 10.1111/cobi.14007

M3 - Comment/debate

SN - 0888-8892

JO - Conservation Biology

JF - Conservation Biology

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