Results 121 to 130 of about 59,747 (184)

Barriers and Strategies for Inclusion of Value‐Based Healthcare in Contract Negotiations in the Netherlands: Study Among Hospital and Insurer Executives

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Background This paper analyses why, despite its recognized importance, value‐based healthcare (VBHC) has not gained more prominence in negotiations between health insurers and hospitals in the Netherlands. Methods Data collected by interviews used a standardized questionnaire with closed‐ and open‐ended questions. Respondents included hospital
Diogo L. L. Leao   +4 more
wiley   +1 more source

Unbalanced growth and land overvaluation. [PDF]

open access: yesProc Natl Acad Sci U S A
Hirano T, Toda AA.
europepmc   +1 more source

Employed but Unpaid, Volunteers or Paradoxical Surplus? Sierra Leone's Unsalaried Health Workforce

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Background In 2016, 36.5% of Sierra Leone's health workforce consisted of unsalaried clinical staff whose payroll inclusion was deferred. The Ministry of Health introduced policies to reduce this percentage, renewing pledges to introduce health workforce planning.
Pieternella Pieterse, Federico Saracini
wiley   +1 more source

A Learning Model with Memory in the Financial Markets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT Learning is central to a financial agent's aspiration to gain persistent strategic advantage in asset value maximisation. The implicit mechanism that transforms this aspiration into an observed value gain is the speed of error corrections (demonstrating, an agent's speed of learning) whilst facing increased uncertainty.
Shikta Singh   +6 more
wiley   +1 more source

Deep Learning for Bond Yield Forecasting: The LSTM‐LagLasso

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT We present long short‐term memory (LSTM)‐LagLasso, a novel explainable deep learning approach applied to bond yield forecasting. Our method involves feature selection from a large universe of potential features and forecasts bond yields using dynamic LSTM networks.
Manuel Nunes   +4 more
wiley   +1 more source

The Role of Uncertainty, Regulatory and Economic Environment and Quantitative Tightening in Banks’ Performance

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This study analyses the implications of uncertainty, the regulatory and economic environment, and the monetary policy regime for bank performance. Employing multiple indicators of bank performance and underlying explanatory factors, we used a novel set of empirical approaches including Fixed Effects, Random Effects, Panel Fully Modified Least ...
Asma Nasim   +2 more
wiley   +1 more source

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