In this paper we analyse bootstrap procedures for systems cointegration tests with a prior adjustment for deterministic … the bootstrap test procedures are derived and their small sample properties are studied. The simulation study also …

heteroskedastic SVAR-GARCH model and propose a bootstrap-based inference procedure on structural impulse responses. We compare the … finite-sample properties of our bootstrap method with those of two competing bootstrap methods via extensive Monte Carlo …

US. We ask whether entrepreneurship exhibits hysteresis, defined as a macro dynamic structure in which cyclical … fluctuations have persistent effects on the natural rate of entrepreneurship. We find evidence of hysteresis in Spain, but not the …

occurrence of shocks and hysteresis effects, the (mis-)measurement of important variables such as in ation expectations … direct measures of in ationary expectations, the Kalman filter method, and the residual-based bootstrap procedure (in order …

conditional heteroskedasticity. We show that the wild bootstrap provides convenient critical values for the considered OLS …-based statistics under both homoskedastic and conditionally heteroskedastic model errors. The wild bootstrap is easy to implement and … approximations. We prove further that the wild bootstrap retains its validity for inference within a system of pooled equations …

one input and one output, and previous bootstrap methods proposed for inference have not been proven consistent, making … result is then used to prove that two different bootstrap procedures (one based on sub-sampling, the other based on smoothing …) provide consistent inference. The smooth bootstrap requires smoothing the irregularly-bounded density of inputs and outputs as …

different bootstrap tests. In the context of static linear regression modelstwo of these are shown to have serious size and …