This paper considers tail shape inference techniques robust to substantial degrees of serial dependence and heterogeneity. We detail a new kernel estimator of the asymptotic variance and the exact small sample mean-squared-error, and a simple representation of the bias of the B. Hill (1975) tail...

We establish functional central limit theorems for a broad class of dependent, heterogeneous tail arrays encountered in the extreme value literature, including extremal exceedances, tail empirical processes and tail empirical quantile processes. We trim dependence assumptions down to a minimum...

Architecture is made by use and design. To use a building is to make it, either by physical transformation, such as moving walls or furniture, by inhabiting it in ways not previously imagined or by conceiving it anew. With a role equal in the formulation of architecture to that of the architect,...

type="main" xml:id="jtsa12064-abs-0001"The consistency of the quasi-maximum likelihood estimator for random coefficient autoregressive models requires that the coefficient be a non-degenerate random variable. In this article, we propose empirical likelihood methods based on weighted-score...

This paper develops a consistent test of best Lp-predictor functional form for a time series process. By functionally relating two moment conditions with different nuisance parameters we are able to construct a vector moment condition in which at least one element must be non-zero under the...

Growth volatility is a major factor that retards growth. Recent studies that link democracy and volatility can not account for a link between democracy and investment volatility. Here, instead, we focus on a specific channel that links individualistism and low volatility. Unlike an...

This paper investigates applications of stable-law limiting theory to model specification tests in which non-linearities are sought in data that exhibit bounded maximal moments. Utilizing the stable-laws allows us for the first time to prove that consistent conditional moment tests (CM) of a...

We develop a consistent conditional moment test of Lp-best predictor functional form, 1p=2. Our main result is a reduction of the nuisance parameter space to the set of integers which greatly simplifies asymptotic theory, and allows for removal of the nuisance parameter in a mechanical fashion....