Chapter Six. Royal Policies, Local Alternatives

The Puritans ◽  
2019 ◽  
pp. 172-205
Keyword(s):  
Local Alternatives

scholarly journals AN ADAPTIVE TEST OF STOCHASTIC MONOTONICITY

2020 ◽  
pp. 1-42
Author(s):  
Denis Chetverikov ◽  
Daniel Wilhelm ◽  
Dongwoo Kim
Keyword(s):  
Monte Carlo ◽  
Conditional Distribution ◽  
Asymptotic Properties ◽  
Nonparametric Test ◽  
Critical Value ◽  
Data Driven ◽  
Local Alternatives ◽  
Stochastic Monotonicity ◽  
Adaptive Test ◽  
Finite Samples

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of the conditional distribution of interest, possesses desirable asymptotic properties, is conceptually easy to implement, and computationally attractive. In particular, we show that the test asymptotically controls size at a polynomial rate, is nonconservative, and detects certain smooth local alternatives that converge to the null with the fastest possible rate. Our test is based on a data-driven bandwidth value and the critical value for the test takes this randomness into account. Monte Carlo simulations indicate that the test performs well in finite samples. In particular, the simulations show that the test controls size and, under some alternatives, is significantly more powerful than existing procedures.

scholarly journals The feedback negativity reflects favorable compared to nonfavorable outcomes based on global, not local, alternatives

2012 ◽  
Vol 50 (2) ◽  
pp. 134-138 ◽  
Author(s):  
Autumn Kujawa ◽  
Ezra Smith ◽  
Christian Luhmann ◽  
Greg Hajcak
Keyword(s):  
Local Alternatives ◽  
Feedback Negativity

Composite likelihood model comparison test under fixed and local alternatives

Stat ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. e182
Author(s):  
Yawen Xu ◽  
Xin Gao ◽  
Xiaogang Wang ◽  
Augustine Wong
Keyword(s):  
Model Comparison ◽  
Composite Likelihood ◽  
Local Alternatives ◽  
Comparison Test ◽  
Likelihood Model

Beyond access: local alternatives for global development – discovering libraries

2012 ◽  
Vol 29 (10) ◽  
pp. 1-3
Author(s):  
Martin Kesselman
Keyword(s):  
Open Access ◽  
Design Methodology ◽  
Conference Report ◽  
Local Alternatives ◽  
Global Development ◽  
Content Type

PurposeThe purpose of this paper is to report on the 2012 Open Access Conference.Design/methodology/approachThe paper takes the form of a conference report.FindingsThis paper contains original reporting and viewpoints.Originality/valueThis paper gives personal views on the conference.

THE LIMITING PROPERTIES OF THE CANOVA AND HANSEN TEST UNDER LOCAL ALTERNATIVES

2002 ◽  
Vol 18 (5) ◽  
pp. 1197-1220
Author(s):  
Eiji Kurozumi
Keyword(s):  
Monte Carlo ◽  
Characteristic Function ◽  
Spectral Density ◽  
Unit Root ◽  
Null Hypothesis ◽  
Inverse Function ◽  
Unit Roots ◽  
Local Alternatives ◽  
Test Statistic ◽  
Economic Statistics

This paper investigates the limiting properties of the Canova and Hansen test, testing for the null hypothesis of no unit root against seasonal unit roots, under a sequence of local alternatives with the model extended to have seasonal dummies and trends or no deterministic term and also only seasonal dummies. We derive the limiting distribution of the test statistic and its characteristic function under local alternatives. We find that the local limiting power is an inverse function of the spectral density at frequency π (π/2) when we test against a negative unit root (annual unit roots). We also theoretically show that the local limiting power of the Canova and Hansen test against a negative unit root (annual unit roots) does not increase when the true process has annual unit roots (a negative unit root) but not a negative unit root (annual unit roots), which has been observed in Monte Carlo simulations in such research as Caner (1998, Journal of Business and Economic Statistics 16, 349–356), Canova and Hansen (1995, Journal of Business and Economic Statistics 13, 237–252), and Hylleberg (1995, Journal of Econometrics 69, 5–25).

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