Results 111 to 120 of about 19,219 (292)

Behavioral Charity: Third‐Party Ratings of Nonprofits as Salience and Heuristics

open access: yesPublic Administration Review, EarlyView.
ABSTRACT Financial disclosure through tax returns is the primary regulatory mechanism for holding nonprofits accountable to donors in the USA. The assumption that donors will make rational decisions using disclosed information when giving to nonprofits is central to this regulation. But what if they rely on mental shortcuts instead? This study examines
Ashraf Haque
wiley   +1 more source

Semiparametric estimation of duration models when the parameters are subject to inequality constraints and the error distribution is unknown [PDF]

open access: yes
This paper proposes a semiparametric method for estimating duration models when there are inequality constraints on some parameters and the error distribution may be unknown.
Mervyn J. Silvapulle, Kulan Ranasinghe
core  

The Effect and Policy Implications of Climate Disclosure Intensity Index on Chinese Firmsʼ Productivity

open access: yesAsia &the Pacific Policy Studies, Volume 13, Issue 3, September 2026.
ABSTRACT Addressing climate change has become the high‐profile international issue. This paper focuses on Chinese A‐share listed firms from 2010 to 2023, adopts computerised textual analysis to construct corporate climate disclosure intensity index, and verifies their validity in various aspects.
Liyu Long, Zhi Wang, Yuan Jiang
wiley   +1 more source

Computing nonparametric functional estimates in semiparametric problems. [PDF]

open access: yes
We offer a set of FORTRAN routines which compute nonparametric estimates of a number of functionals. The routines are primarily intended to be used in the estimation of semiparametric models.
Delgado, Miguel A.
core  

Semiparametric Stepwise Regression to Estimate Sales Promotion Effects [PDF]

open access: yes, 2005
Kalyanam and Shively (1998) and van Heerde et al. (2001) have proposed semiparametric models to estimate the influence of price promotions on brand sales, and both obtained superior performance for their models compared to strictly parametric modeling ...
Steiner, Winfried J.   +2 more
core   +1 more source

Wavelet‐Based Hurst Exponent Estimation

open access: yesWIREs Computational Statistics, Volume 18, Issue 3, September 2026.
The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa   +2 more
wiley   +1 more source

Inference on semiparametric models with discrete regressors [PDF]

open access: yes, 1993
We study statistical properties of coefficient estimates of the partially linear regression model when some or all regressors, in the unknown part of the model, are discrete. The method does not require smoothing in the discrete variables.
Delgado, Miguel A.   +3 more
core  

Examining the clustering of lifestyle factors and affect in daily life: An idiographic approach

open access: yesApplied Psychology: Health and Well-Being, Volume 18, Issue 4, August 2026.
Abstract There has been an increase in interest in the health and well‐being benefits of lifestyle factors such as physical activity, diet, sleep, and social interaction. Previous research has highlighted how lifestyle factors, both healthy and unhealthy, tend to covary or cluster together.
Austen R. Anderson   +3 more
wiley   +1 more source

Semiparametric-efficient estimation of AR(1) panel data models [PDF]

open access: green, 2003
Byeong Park   +2 more
openalex   +1 more source

Efficient Estimation of Copula-based Semiparametric Markov Models [PDF]

open access: yes
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These models are characterized by nonparametric invariant (one-dimensional marginal) distributions and parametric bivariate copula functions ...
Yanping Yi, Xiaohong Chen, Wei Biao Wu
core  

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