- Abdi, M. J., Raffar, N., Zulkafli, Z., Nurulhuda, K., Rehan, B. M., Muharam, F. M., Khosim, N. A., & Tangang, F. (2022). Index‐based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield‐index modelling methods. International Journal of Disaster Risk Reduction, 67, 102653. https://doi.org/10.1016/j.ijdrr.2021.102653.
Paper not yet in RePEc: Add citation now
Banerjee, A., Chandrasekhar, A. G., Duflo, E., & Jackson, M. O. (2019). Using gossips to spread information: Theory and evidence from two randomized controlled trials. The Review of Economic Studies, 86, 2453–2490. https://doi.org/10.1093/restud/rdz008.
Barnett, B. J., & Mahul, O. (2007). Weather index insurance for agriculture and rural areas in lower‐income countries. American Journal of Agricultural Economics, 89, 1241–1247.
Beaman, L., & Dillon, A. (2018). Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali. Journal of Development Economics, 133, 147–161. https://doi.org/10.1016/j.jdeveco.2018.01.009.
Beaman, L., BenYishay, A., Magruder, J., & Mobarak, A. M. (2021). Can network theory‐based targeting increase technology adoption? American Economic Review, 111, 1918–1943. https://doi.org/10.1257/aer.20200295.
Benami, E., & Carter, M. R. (2021). Can digital technologies reshape rural microfinance? Implications for savings, credit, & insurance. Applied Economic Perspectives and Policy, 43, 1196–1220. https://doi.org/10.1002/aepp.13151.
- Benami, E., Jin, Z., Carter, M. R., Ghosh, A., Hijmans, R. J., Hobbs, A., Kenduiywo, B., & Lobell, D. B. (2021). Uniting remote sensing, crop modelling and economics for agricultural risk management. Nature Reviews Earth and Environment, 2, 140–159. https://doi.org/10.1038/s43017‐020‐00122‐y.
Paper not yet in RePEc: Add citation now
Bertram‐Huemmer, V., & Kraehnert, K. (2018). Does index insurance help households recover from disaster? Evidence from IBLI Mongolia. American Journal of Agricultural Economics, 100, 145–171. https://doi.org/10.1093/ajae/aax069.
Birol, E., & Bennett, J. (Eds.). (2010). Choice experiments in developing countries. Edward Elgar Publishing.
Cai, J., & Song, C. (2017). Do disaster experience and knowledge affect insurance take‐up decisions? Journal of Development Economics, 124, 83–94. https://doi.org/10.1016/j.jdeveco.2016.08.007.
Cai, J., de Janvry, A., & Sadoulet, E. (2015). Social networks and the decision to insure. American Economic Journal: Applied Economics, 7, 81–108.
Cai, J., de Janvry, A., & Sadoulet, E. (2020). Subsidy policies and insurance demand. American Economic Review, 110, 2422–2453. https://doi.org/10.1257/aer.20190661.
Carter, M. R., Cheng, L., & Sarris, A. (2016). Where and how index insurance can boost the adoption of improved agricultural technologies. Journal of Development Economics, 118, 59–71. https://doi.org/10.1016/j.jdeveco.2015.08.008.
Cole, S., Giné, X., & Vickery, J. (2017). How does risk management influence production decisions? Evidence from a field experiment. The Review of Financial Studies, 30, 1935–1970. https://doi.org/10.1093/rfs/hhw080.
Cole, S., Giné, X., Tobacman, J., Townsend, R., Topalova, P., & Vickery, J. (2013). Barriers to household risk management: Evidence from India. American Economic Journal: Applied Economics, 5, 104–135. https://doi.org/10.1257/app.5.1.104.
Cole, S., Stein, D., & Tobacman, J. (2014). Dynamics of demand for index insurance: Evidence from a long‐run field experiment. The American Economic Review, 104, 284–290.
- CPS. (2018). Enquête Agricole de Conjoncture Intégrée aux Conditions de Vie des Ménages (ECA‐I) 2017. Ref. MLI_2017_EAC‐I_v02_M. https://microdata.worldbank.org/index.php/catalog/3409/get‐microdata.
Paper not yet in RePEc: Add citation now
- CPS/SDR and World Bank. (2019). Agriculture et sources de revenu au Mali: État des lieux à partir des données de l'EAC‐I 2017.
Paper not yet in RePEc: Add citation now
- de Janvry, A., Ramirez Ritchie, E., & Sadoulet, E. (2016). Weather index insurance and shock coping—Evidence from Mexico's CADENA program. World Bank Policy Research Working Paper No. 7715.
Paper not yet in RePEc: Add citation now
- Demirgüc‐Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The Global Findex Database 2017. Measuring financial inclusion and the fintech revolution. World Bank Publications.
Paper not yet in RePEc: Add citation now
- Doherty, E., Mellett, S., Norton, D., McDermott, T. K. J., Hora, D. O., & Ryan, M. (2021). A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management, 290, 112607. https://doi.org/10.1016/j.jenvman.2021.112607.
Paper not yet in RePEc: Add citation now
- FAO. (2017). Mali Country factsheet on food and agriculture policy trends. https://www.fao.org/3/i7617e/i7617e.pdf.
Paper not yet in RePEc: Add citation now
Farrin, K., & Miranda, M. J. (2015). A heterogeneous agent model of credit‐linked index insurance and farm technology adoption. Journal of Development Economics, 116, 199–211. https://doi.org/10.1016/j.jdeveco.2015.05.001.
Galarza, F., & Carter, M. R. (2011). Risk preferences and demand for insurance in Peru: A field experiment. Discussion paper DD/11/08.
- Gallenstein, R. A., Flatnes, J. E., Dougherty, J. P., Sam, A. G., & Mishra, K. (2020). The impact of index‐insured loans on credit market participation and risk‐taking. Agricultural Economics, 52, 141–156. https://doi.org/10.1111/agec.12611.
Paper not yet in RePEc: Add citation now
Gallenstein, R. A., Mishra, K., Sam, A. G., & Miranda, M. J. (2019). Willingness to pay for insured loans in northern Ghana. Journal of Agricultural Economics, 70, 640–662. https://doi.org/10.1111/1477‐9552.12317.
Ghosh, R. K., Gupta, S., Singh, V., & Ward, P. S. (2021). Demand for crop insurance in developing countries: New evidence from India. Journal of Agricultural Economics, 72, 293–320. https://doi.org/10.1111/1477‐9552.12403.
Giné, X., & Yang, D. (2009). Insurance, credit, and technology adoption: Field experimental evidencefrom Malawi. Journal of Development Economics, 89, 1–11. https://doi.org/10.1016/j.jdeveco.2008.09.007.
Giné, X., Townsend, R., & Vickery, J. (2008). Patterns of rainfall insurance participation in rural India. The World Bank Economic Review, 22, 539–566. https://doi.org/10.1093/wber/lhn015.
Hausman, J., & McFadden, D. (1984). Specification tests for the multinomial logit model. Econometrica, 52, 1219–1240.
Hill, R. V., Kumar, N., Magnan, N., Makhija, S., de Nicola, F., Spielman, D. J., & Ward, P. S. (2019). Ex ante and ex post effects of hybrid index insurance in Bangladesh. Journal of Development Economics, 136, 1–17. https://doi.org/10.1016/j.jdeveco.2018.09.003.
Hill, R. V., Robles, M., & Ceballos, F. (2016). Demand for a simple weather insurance product in India: Theory and evidence. American Journal of Agricultural Economics, 98, 1250–1270. https://doi.org/10.1093/ajae/aaw031.
Hole, A. R. (2007). Fitting mixed logit models by using maximum simulated likelihood. The Stata Journal, 7, 388–401. https://doi.org/10.1177/1536867X0700700306.
Hu, W., Sun, S., Penn, J., & Qing, P. (2022). Dummy and effects coding variables in discrete choice analysis. American Journal of Agricultural Economics, 104, 1770–1788. https://doi.org/10.1111/ajae.12311.
- IPCC. (2022). Climate change. Impacts, adaptation and vulnerability. In Contribution of working group II to the sixth assessment report of the Intergovernmental Panel on Climate Change.
Paper not yet in RePEc: Add citation now
- ITU. (2022). Key indicators for the world and special regions (totals and penetra–tion rates). https://www.itu.int/en/ITU‐D/Statistics/Pages/stat/default.aspx.
Paper not yet in RePEc: Add citation now
Janzen, S. A., & Carter, M. R. (2019). After the drought: The impact of microinsurance on consumption smoothing and asset protection. American Journal of Agricultural Economics, 101, 651–671. https://doi.org/10.1093/ajae/aay061.
- King, M., & Singh, A. P. (2020). Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam. Food Policy, 94, 101861. https://doi.org/10.1016/j.foodpol.2020.101861.
Paper not yet in RePEc: Add citation now
- Kölle, W., Buchholz, M., & Musshoff, O. (2022). Do high‐resolution satellite indices at field level reduce basis risk of satellite‐based weather index insurance? Agricultural Finance Review, 82, 616–640. https://doi.org/10.1108/AFR‐12‐2020‐0177.
Paper not yet in RePEc: Add citation now
Kramer, B., Hazell, P., Alderman, H., Ceballos, F., Kumar, N., & Timu, A. G. (2022). Is agricultural insurance fulfilling its promise for the developing world? A review of recent evidence. Annual Review of Resource Economics, 14, 291–311. https://doi.org/10.1146/annurev‐resource‐111220‐014147.
- Linhoff, M., Musshoff, O., & Parlasca, M. (2022). Insuring against droughts: Addressing issues of trust, transparency and liquidity in the demand for livestock index insurance. Climate and Development, 15, 240–250. https://doi.org/10.1080/17565529.2022.2077689.
Paper not yet in RePEc: Add citation now
Matsuda, A., & Kurosaki, T. (2019). Demand for temperature and rainfall index insurance in India. Agricultural Economics, 50, 353–366. https://doi.org/10.1111/agec.12489.
- Meemken, E.‐M., Veettil, P. C., & Qaim, M. (2017). Toward improving the design of sustainability standards—A gendered analysis of farmers' preferences. World Development, 99, 285–298. https://doi.org/10.1016/j.worlddev.2017.05.021.
Paper not yet in RePEc: Add citation now
Mishra, K., Gallenstein, R. A., Miranda, M. J., Sam, A. G., Toledo, P., & Mulangu, F. (2021). Insured loans and credit access: Evidence from a randomized field experiment in northern Ghana. American Journal of Agricultural Economics, 103, 923–943. https://doi.org/10.1111/ajae.12136.
- Mudombi, S., & Nhamo, G. (2014). Access to weather forecasting and early warning information by communal farmers in Seke and Murewa districts, Zimbabwe. Journal of Human Ecology, 48, 357–366. https://doi.org/10.1080/09709274.2014.11906805.
Paper not yet in RePEc: Add citation now
- Murphy, J., Allen, G., Stevens, T., & Weatherhead, D. (2005). A meta‐analysis of hypothetical bias in stated preference valuation. Environmental and Resource Economics, 30, 313–325. https://doi.org/10.1007/s10640‐004‐3332‐z.
Paper not yet in RePEc: Add citation now
Ölkers, T., Liu, S., & Mußhoff, O. (2023). A typology of Malian farmers and their credit repayment performance—An unsupervised machine learning approach. Conference paper https://doi.org/10.22004/ag.econ.334547.
Platteau, J.‐P., de Bock, O., & Gelade, W. (2017). The demand for microinsurance: A literature review. World Development, 94, 139–156. https://doi.org/10.1016/j.worlddev.2017.01.010.
- Raithatha, R., & Priebe, J. (2020). Agricultural insurance for smallholder farmers—Digital innovations for scale.
Paper not yet in RePEc: Add citation now
- Rajkhowa, P., & Qaim, M. (2021). Personalized digital extension services and agricultural performance: Evidence from smallholder farmers in India. PLoS One, 16, e0259319. https://doi.org/10.1371/journal.pone.0259319.
Paper not yet in RePEc: Add citation now
- Rogers, E. (2003). Diffusion of innovations. Free Press.
Paper not yet in RePEc: Add citation now
- Roudier, P., Alhassane, A., Baron, C., Louvet, S., & Sultan, B. (2016). Assessing the benefits of weather and seasonal forecasts to millet growers in Niger. Agricultural and Forest Meteorology, 223, 168–180. https://doi.org/10.1016/j.agrformet.2016.04.010.
Paper not yet in RePEc: Add citation now
Scarpa, R., & Rose, J. M. (2008). Design efficiency for non‐market valuation with choice modelling: How to measure it, what to report and why*. Australian Journal of Agricultural and Resource Economics, 52, 253–282. https://doi.org/10.1111/j.1467‐8489.2007.00436.x.
- Stoeffler, Q., & Opuz, G. (2022). Price, information and product quality: Explaining index insurance demand in Burkina Faso. Food Policy, 108, 102213. https://doi.org/10.1016/j.foodpol.2021.102213.
Paper not yet in RePEc: Add citation now
- Syll, M. M. A., & Weingaertner, L. (2019). Bundling weather index‐based crop insurance and credit: A cautionary tale against misunderstood and misinformed take‐up. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3507421.
Paper not yet in RePEc: Add citation now
- Tervonen, T., Schmidt‐Ott, T., Marsh, K., Bridges, J. F. P., Quaife, M., & Janssen, E. (2018). Assessing rationality in discrete choice experiments in health: An investigation into the use of dominance tests. Value in Health, 21, 1192–1197. https://doi.org/10.1016/j.jval.2018.04.1822.
Paper not yet in RePEc: Add citation now
- Tomalka, J., Lange, S., Röhrig, F., & Gornott, C. (2020). Climate risk profile for Mali. https://www.pik‐potsdam.de/en/institute/departments/climate‐resilience/projects/project‐pages/agrica/downloads.
Paper not yet in RePEc: Add citation now
Train, K. (2009). Discrete choice methods with simulation. Cambridge University Press.
- Turvey, C. G., & McLaurin, M. K. (2012). Applicability of the normalized difference vegetation index (NDVI) in index‐based crop insurance design. Weather, Climate, and Society, 4, 271–284. https://doi.org/10.1175/WCAS‐D‐11‐00059.1.
Paper not yet in RePEc: Add citation now
van den Broek‐Altenburg, E., & Atherly, A. (2020). Using discrete choice experiments to measure preferences for hard to observe choice attributes to inform health policy decisions. Health Economics Review, 10, 18. https://doi.org/10.1186/s13561‐020‐00276‐x.
Vroege, W., Bucheli, J., Dalhaus, T., Hirschi, M., & Finger, R. (2021). Insuring crops from space: The potential of satellite‐retrieved soil moisture to reduce farmers’ drought risk exposure. European Review of Agricultural Economics, 48, 266–314. https://doi.org/10.1093/erae/jbab010.
- Ward, P. S., & Makhija, S. (2018). New modalities for managing drought risk in rainfed agriculture: Evidence from a discrete choice experiment in Odisha, India. World Development, 107, 163–175. https://doi.org/10.1016/j.worlddev.2018.03.002.
Paper not yet in RePEc: Add citation now
- Whitehouse, B. (2022). Left in the cold. Journal of Legal Anthropology, 6, 73–94. https://doi.org/10.3167/jla.2022.060105.
Paper not yet in RePEc: Add citation now
- Wong, H. L., Wei, X., Kahsay, H. B., Gebreegziabher, Z., Gardebroek, C., Osgood, D. E., & Diro, R. (2020). Effects of input vouchers and rainfall insurance on agricultural production and household welfare: Experimental evidence from northern Ethiopia. World Development, 135, 105074. https://doi.org/10.1016/j.worlddev.2020.105074.
Paper not yet in RePEc: Add citation now
- World Bank. (2022). Harmonized Survey on Households Living Standardsi 2018–2019 (French: Enquête Harmonisée sur le Conditions de Vie des Ménages 2018–2019). https://microdata.worldbank.org/index.php/catalog/4295.
Paper not yet in RePEc: Add citation now
- World Bank. (2023a). Agriculture, forestry, and fishing, value added (% of GDP). https://data.worldbank.org/indicator/NV.AGR.TOTL.ZS?locations=ML.
Paper not yet in RePEc: Add citation now
- World Bank. (2023b). Employment in agriculture (% of total employment) (modeled ILO estimate). https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS?locations=ML (Accessed 11 August 2023).
Paper not yet in RePEc: Add citation now
- World Bank. (2023c). Literacy rate, adult total (% of people ages 15 and above), Mali. https://data.worldbank.org/indicator/SE.ADT.LITR.ZS?locations=ML.
Paper not yet in RePEc: Add citation now
- Yan, T. (2008). Nondifferentiation. In P. J. Lavrakas (Ed.), Encyclopedia of survey research methods (pp. 520–521). SAGE.
Paper not yet in RePEc: Add citation now
Yegbemey, R., Bensch, G., & Vance, C. (2023). Weather information and agricultural outcomes: Evidence from a pilot field experiment in Benin. World Development, 167, 106178. https://doi.org/10.1016/j.worlddev.2022.106178.