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• W2899070023 abstract "Performing interventions is a major challenge in economic policy-making. We present causal strategic inference as a framework for conducting interventions and apply it to large, networked microfinance economies. The basic solution platform consists of modeling a microfinance market as a networked economy, learning the model using single-sample real-world microfinance data, and designing algorithms for various causal questions. For a special case of our model, we show that an equilibrium point always exists and that the equilibrium interest rates are unique. For the general case, we give a constructive proof of the existence of an equilibrium point. Our empirical study is based on microfinance data from Bangladesh and Bolivia, which we use to first learn our models. We show that causal strategic inference can assist policy-makers by evaluating the outcomes of various types of interventions, such as removing a loss-making bank from the market, imposing an interest-rate cap, and subsidizing banks." @default.
• W2899070023 created "2018-11-09" @default.
• W2899070023 creator A5077445486 @default.
• W2899070023 creator A5081273303 @default.
• W2899070023 date "2018-05-31" @default.
• W2899070023 modified "2023-09-26" @default.
• W2899070023 title "Causal Strategic Inference in a Game—Theoretic Model of Multiplayer Networked Microfinance Markets" @default.
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• W2899070023 doi "https://doi.org/10.1145/3232861" @default.
• W2899070023 hasPublicationYear "2018" @default.
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