Showing 21 - 30 of 18,979
This paper introduces a new hypothesis test for the null hypothesis H0 : f(Ø) = Y0, where f(.) is a known function, Y0 is a known constant, and Ø is a parameter that is partially identified by a moment (in)equality model. The main application of our test is sub-vector inference in moment...
Persistent link: https://www.econbiz.de/10010368194
This paper studies the problem of specification testing in partially identified models defined by a finite number of moment equalities and inequalities (i.e. (in)equalities). Under the null hypothesis, there is at least one parameter value that simultaneously satisfies all of the moment...
Persistent link: https://www.econbiz.de/10010368196
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in)equality model. As a special case, our method yields marginal confidence sets for individual coordinates of this parameter vector. Our inference method controls asymptotic size...
Persistent link: https://www.econbiz.de/10010368201
heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) and examine their properties using Monte … Carlo methods. In terms of the size of the test, our analysis reveals that unit root tests with NoVaS-modified critical … values have actual sizes close to the nominal size. For the power of the test, we find that unit root tests with NoVaS …
Persistent link: https://www.econbiz.de/10011988724
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in)equality model. These functions are restricted to be linear for two-sided testing problems, but may be nonlinear for one-sided testing problems. In the most common case, this function...
Persistent link: https://www.econbiz.de/10011995481
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in)equality model. As a special case, our method yields marginal confidence sets for individual coordinates of this parameter vector. Our inference method controls asymptotic size...
Persistent link: https://www.econbiz.de/10011445755
heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) in Politis (2007) and examine their … properties using Monte Carlo methods. In terms of the size of the test, our analysis reveals that unit root tests with NoVaS …-modified critical values have actual sizes close to the nominal size. For the power of the test, we find that unit root tests with NoVaS …
Persistent link: https://www.econbiz.de/10012654372
Market risk management is one of the key factors to success in managing financial institutions. Underestimated risk can have desastrous consequences for individual companies and even whole economies, not least as could be seen during the recent crises. Overestimated risk, on the other side, may...
Persistent link: https://www.econbiz.de/10010309829
This paper studies the problem of specification testing in partially identified models defined by a finite number of moment equalities and inequalities (i.e., (in)equalities). Under the null hypothesis, there is at least one parameter value that simultaneously satisfies all of the moment...
Persistent link: https://www.econbiz.de/10010318712
Market risk management is one of the key factors to success in managing financial institutions. Underestimated risk can have desastrous consequences for individual companies and even whole economies, not least as could be seen during the recent crises. Overestimated risk, on the other side, may...
Persistent link: https://www.econbiz.de/10009575075