To overcome the shortcomings of model-driven state estimation methods, this paper proposes a data-driven robust (DDSE) method through off-line learning and on-line matching. At stage, linear regression equation is presented by clustering historical data from supervisory control acquisition (SCADA), which provides guarantee for solving over-learning problem existing DDSE methods; then novel that...

We propose a model with involuntary unemployment, incomplete markets, and nominal rigidity, in which the effects of government spending are state-dependent. An increase purchases raises aggregate demand, tightens labor market reduces unemployment. This turn lowers unemployment risk thus precautionary saving, leading to larger response private consumption than perfect insurance. The output multi...