Showing 1 - 10 of 241
This paper considers testing that an economic time series follows a martingale difference process. The martingale difference hypothesis has been typically tested using information contained in the second moments of a process, that is, using test statistics based on the sample autocovariances or...
Persistent link: https://www.econbiz.de/10005151232
This note provides an alternative perspective for size-corrected power for a test. The advantage of this approach is that it allows the calculation of size-corrected power for bootstrap tests.
Persistent link: https://www.econbiz.de/10005151239
This article compares the asymptotic power properties of the Wald, the Lagrange Multiplier and the Likelihood Ratio test for fractional unit roots. The paper shows that there is an asymptotic inequality between the three tests that holds under fixed alternatives.
Persistent link: https://www.econbiz.de/10005297006
This article considers testing that a time series is uncorrelated when it possibly exhibits some form of dependence. Contrary to the currently employed tests that require selecting arbitrary user-chosen numbers to compute the associated tests statistics, we consider a test statistic that is very...
Persistent link: https://www.econbiz.de/10005170248
In this article we introduce efficient Wald tests for testing the null hypothesis of unit root against the alternative of fractional unit root. In a local alternative framework, the proposed tests are locally asymptotically equivalent to the optimal Robinson (1991, 1994a) Lagrange Multiplier...
Persistent link: https://www.econbiz.de/10005190208
This article analyzes the fractional Dickey-Fuller (FDF) test for unit roots recently introduced by Dolado, Gonzalo and Mayoral (2002 Econometrica 70, 1963--2006) within a more general setup. These authors motivate their test with a particular analogy with the Dickey-Fuller test, whereas we...
Persistent link: https://www.econbiz.de/10005405444
Persistent link: https://www.econbiz.de/10005411761
This article addresses statistical inference in models defined by conditional moment restrictions. Our motivation comes from two observations. First, generalized method of moments, which is the most popular methodology for statistical inference for these models, provides a unified methodology...
Persistent link: https://www.econbiz.de/10005249742
This paper considers testing that an economic time series follows a martingale difference process. The martingale difference hypothesis has been typically tested using information contained in the second moments of a process, that is, using test statistics based on the sample autocovariances or...
Persistent link: https://www.econbiz.de/10005328790
In econometrics, models stated as conditional moment restrictions are typically estimated by means of the generalized method of moments (GMM). The GMM estimation procedure can render inconsistent estimates since the number of arbitrarily chosen instruments is finite. In fact, consistency of the...
Persistent link: https://www.econbiz.de/10005332359