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,...

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....

In this essay we provide the basic asymptotic theory that serves as background theory for estimators in time series. We outline concepts of dependence used for stochastic limit theory, covering mixing, mixingale and near epoch dependence properties. We then detail some of the most general...