MF-SCM constructs synthetic control weights from mixed-frequency data, proves the estimator achieves the lowest possible squared prediction error among averaging methods, and derives asymptotic inference for the average treatment effect.
Journal of Economic Perspectives , volume=
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AI washing firms experience a 12.5 basis point relative increase in debt financing costs after the 14th Five Year Plan, with effects amplified by management shareholding and analyst attention but attenuated by supply chain concentration and bank proximity.
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Synthetic Control Method with Mixed Frequency Data
MF-SCM constructs synthetic control weights from mixed-frequency data, proves the estimator achieves the lowest possible squared prediction error among averaging methods, and derives asymptotic inference for the average treatment effect.
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Dissipation of Debt Financing Privilege on Corporate AI Washing: Evidence from China
AI washing firms experience a 12.5 basis point relative increase in debt financing costs after the 14th Five Year Plan, with effects amplified by management shareholding and analyst attention but attenuated by supply chain concentration and bank proximity.