Results 81 to 90 of about 12,857 (287)
Orchard netting impacts on biodiversity leading to cascading effects at the ecosystem level
ABSTRACT Agriculture must ensure food production without further compromising the ecosystem functions upon which it depends. Agricultural practices should therefore avoid harming farmland biodiversity, especially of taxa that supply the key ecosystem services (e.g.
Corrado Alessandrini +13 more
wiley +1 more source
Copayments for Ambulatory Care in Germany: A Natural Experiment Using a Difference-in-Difference Approach [PDF]
In response to increasing health expenditures and a high number of physician visits, the German government introduced a copayment for ambulatory care in 2004 for individuals with statutory health insurance (SHI).
Markus M. Grabka, Jonas Schreyögg
core +2 more sources
Investor Perception of ESG in Earnings Calls
ABSTRACT This study examines how the communicator's role and the framing of ESG statements affect investor capital allocation in the context of earnings calls. Based on a virtual asset market experiment, the analysis identifies that the assurance and reinforcement of ESG messages have a positive effect of up to 8% on capital allocation, with especially
Felix Bachner
wiley +1 more source
HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY
The problem of overdispersion as a violation of the assumption of equidispersion in Poisson regression is generally caused by sources of unobserved heterogeneity, missing observations on predictor variables, outliers in the data, errors in the ...
Mey Yanti Sarumpaet +2 more
doaj +1 more source
The influence of passenger air traffic on the spread of COVID-19 in the world
Countries in the world are suffering from COVID-19 and would like to control it. Thus, some authorities voted for new policies and even stopped passenger air traffic.
Yves Morel Sokadjo +1 more
doaj +1 more source
ABSTRACT This study examines climate change risk disclosure in the global energy sector, where firms face intense stakeholder scrutiny and legitimacy pressures. We develop a novel domain‐specific textual analysis measure to capture climate change risk disclosures, improving on prior approaches based on generic environmental terminology.
Khaldoon Albitar, Ali Meftah Gerged
wiley +1 more source
We propose a novel deep learning framework for counterfactual inference on the COMPAS dataset, utilizing a multi-task CNN-LSTM architecture. The model jointly predicts multiple outcome types: (i) count outcomes with zero inflation, modeled using zero ...
Jong-Min Kim
doaj +1 more source
The presence of excess zeros and the problem of over-dispersion often occur with count data. Few methods have been developed to deal with extra zeros that occur in response count variables. Such methods include zero inflated Poisson (ZIP) and zero inflated negative binomial (ZINB) regression models.
openaire +1 more source
Consistent estimation of zero-inflated count models [PDF]
Applications of zero-inflated count data models have proliferated in health economics. However, zero-inflated Poisson or zero-inflated negative binomial maximum likelihood estimators are not robust to misspecification.
Rainer Winkelmann, Kevin E. Staub
core
The zero-inflated negative binomial-exponential distribution and its application
A new distribution, the zero-inflated negative binomial-exponential (ZINB-E) distribution, is proposed. It is a mixture of a point mass at zero and a negative binomial-exponential (NB-E) distribution.
Kehler, Adam +2 more
core

