scispace - formally typeset
B

Buhong Zheng

Researcher at University of Colorado Denver

Publications -  56
Citations -  2117

Buhong Zheng is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Poverty & Statistical inference. The author has an hindex of 23, co-authored 55 publications receiving 2028 citations. Previous affiliations of Buhong Zheng include West Virginia University & University of Texas MD Anderson Cancer Center.

Papers
More filters
Journal ArticleDOI

Aggregate Poverty Measures

TL;DR: A survey of the literature on aggregate poverty measures can be found in this paper, where the authors examine the desirability of each axiom, the properties of each poverty measure, and the interrelationships among axioms.
Journal ArticleDOI

Long-term implantation of preadipocyte-seeded PLGA scaffolds.

TL;DR: The results extend a previous short-term study and demonstrate that adipose tissue can be formed in vivo using tissue engineering strategies, however, the long-term maintenance of adipose tissues remains elusive.
Journal ArticleDOI

Envy, malice and Pareto efficiency: An experimental examination

TL;DR: This paper uses experimental and multinomial logit techniques to estimate the effects of envy and malice in economic decisions involving Pareto efficiency, turning out to be powerful motivations with strong differential impacts across countries and relative positions.
Journal ArticleDOI

Mobility measurement,transition matrices and statistical inference

TL;DR: In this article, the authors developed statistical inference procedures for testing income mobility with transition matrices and applied them to income mobility in the U.S. and Germany using the Panel Study of Income Dynamics and German Socio-Economic Panel data.
Journal ArticleDOI

Statistical inference for poverty measures with relative poverty lines

TL;DR: The authors showed that the estimates of poverty indices with relative poverty lines are asymptotically normally distributed and that the covariance structure can be consistently estimated in a straightforward manner, which is a result that can be used to test decomposable poverty measures.