26,081 research outputs found
The Decision of Work and Study and Employment Outcomes
The paper studies factors that contribute to student's work study decision while attending postsecondary institutions using SLID and YITS data. It further tests that how the work decision can affect their future employment outcomes.postsecondary eduction;labour supply decisions;return to schooling
Inference for a Special Bilinear Time Series Model
It is well known that estimating bilinear models is quite challenging. Many
different ideas have been proposed to solve this problem. However, there is not
a simple way to do inference even for its simple cases. This paper studies the
special bilinear model where is a sequence of i.i.d. random
variables with mean zero. We first give a sufficient condition for the
existence of a unique stationary solution for the model and then propose a
GARCH-type maximum likelihood estimator for estimating the unknown parameters.
It is shown that the GMLE is consistent and asymptotically normal under only
finite fourth moment of errors. Also a simple consistent estimator for the
asymptotic covariance is provided. A simulation study confirms the good finite
sample performance. Our estimation approach is novel and nonstandard and it may
provide a new insight for future research in this direction.Comment: 23 pages, 1 figures, 3 table
Tail Asymptotics of Deflated Risks
Random deflated risk models have been considered in recent literatures. In
this paper, we investigate second-order tail behavior of the deflated risk X=RS
under the assumptions of second-order regular variation on the survival
functions of the risk R and the deflator S. Our findings are applied to
approximation of Value at Risk, estimation of small tail probability under
random deflation and tail asymptotics of aggregated deflated riskComment: 2
Modulated Unit-Norm Tight Frames for Compressed Sensing
In this paper, we propose a compressed sensing (CS) framework that consists
of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a
column-wise orthonormal matrix. We prove that this structure satisfies the
restricted isometry property (RIP) with high probability if the number of
measurements for -sparse signals of length
and if the column-wise orthonormal matrix is bounded. Some existing structured
sensing models can be studied under this framework, which then gives tighter
bounds on the required number of measurements to satisfy the RIP. More
importantly, we propose several structured sensing models by appealing to this
unified framework, such as a general sensing model with arbitrary/determinisic
subsamplers, a fast and efficient block compressed sensing scheme, and
structured sensing matrices with deterministic phase modulations, all of which
can lead to improvements on practical applications. In particular, one of the
constructions is applied to simplify the transceiver design of CS-based channel
estimation for orthogonal frequency division multiplexing (OFDM) systems.Comment: submitted to IEEE Transactions on Signal Processin
Holographic Metal-Insulator Transition in Higher Derivative Gravity
We introduce a Weyl term into the Einstein-Maxwell-Axion theory in four
dimensional spacetime. Up to the first order of the Weyl coupling parameter
, we construct charged black brane solutions without translational
invariance in a perturbative manner. Among all the holographic frameworks
involving higher derivative gravity, we are the first to obtain metal-insulator
transitions (MIT) when varying the system parameters at zero temperature.
Furthermore, we study the holographic entanglement entropy (HEE) of strip
geometry in this model and find that the second order derivative of HEE with
respect to the axion parameter exhibits maximization behavior near quantum
critical points (QCPs) of MIT. It testifies the conjecture in 1502.03661 and
1604.04857 that HEE itself or its derivatives can be used to diagnose quantum
phase transition (QPT).Comment: 20 pages, 4 figures; typo corrected, added 3 references; minor
revisio
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