Results 131 to 140 of about 50,384 (266)

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

The Social and Economic Value of Human Services [PDF]

, 2011
This paper examines publicly-funded human services and highlights a body of evidence that speaks to both the social and economic value for society when investments are made into human services.
Amy Rynell, Amy Terpstra, Ian Mobley, Lindy Carrow   +3 more
core  

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

Journal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

Effect of Austerity Measures on Infant Mortality: Evidence From Greece

Health Economics, EarlyView.
ABSTRACT Governments frequently adopt austerity policies when facing economic crises, yet their long‐term consequences for population health remain incompletely understood. This paper examines the impact of large‐scale fiscal austerity on infant mortality by exploiting the Troika‐led economic adjustment program implemented in Greece beginning in 2010 ...
Robert J. Kolesar, Rok Spruk
wiley   +1 more source

Toward a Typology of Patients With Head and Neck Cancer: Biopsychosocial Profiles Predicting Longitudinal Quality of Life

Head &Neck, EarlyView.
ABSTRACT Background Quality of life (QoL) in head and neck cancer (HNC) is influenced by complex biopsychosocial factors, yet few longitudinal studies have examined these relationships immediately post‐treatment. Methods In this prospective study, 232 patients newly diagnosed with primary HNC completed psychometric assessments, clinical interviews, and
Haley Deamond, Cyril Devault‐Tousignant, Jacob Lang, Christopher Lo, Jennifer Silver, Nader Sadeghi, Zeev Rosberger, Saul Frenkiel, Michael Hier, Anthony Zeitouni, Karen Kost, Alex Mlynarek, Keith Richardson, Gabrielle Chartier, Marco Mascarella, Khalil Sultanem, Georges Shenouda, Fabio Cury, Melissa Henry   +18 more
wiley   +1 more source

From Parallel Provision to Health System Integration: Exploring the Trajectory and Contextual Drivers of the Healthcare Response for Refugees in Six Low‐ and Middle‐Income Countries

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Rising numbers of refugees, prolonged displacement and reduced funding have led to challenges in terms of how to address their healthcare needs, with different approaches taken, ranging from parallel mechanisms to arrangements that are integrated (to different extents) within the national health system. Increasingly, global frameworks call for
Maria Paola Bertone, Natasha Palmer, Amina Olabi, Ibrahim Bou‐Orm, Hussam Rekani, Hassan Ould Moctar, Ricardo Chuquimia, Chitalu Miriam Chama‐Chiliba, Ben Ngoye, Zahid Ali Memon, Marcia Vera‐Espinoza, Karin Diaconu, Alastair Ager, Sophie Witter   +13 more
wiley   +1 more source

Predicting and Preventing Turnover in Industry 4.0: Understanding the Impact of Artificial Intelligence Adoption on Employee Turnover

Human Resource Development Quarterly, EarlyView.
ABSTRACT With the increasing adoption of Artificial Intelligence (AI) in the workplace, employees' career paths have become more diverse and less predictable in the era of Industry 4.0. As technological transformations accelerate, employee turnover patterns are also changing, as reflected in the growing prevalence of occupational transitions and large ...
Young‐Kook Moon, Tanya Mitropoulos
wiley   +1 more source

Climate Change Laws and European Stock Markets: An Event Analysis

International Journal of Finance &Economics, EarlyView.
ABSTRACT Under the context of the climate change we assess the impact of EU's legislative initiative on European stock markets. Specifically, we focus on its impact on energy and Environmental Social Governance (ESG) sectors for equity returns and volatility for a representative basket of EU countries (participating also in Eurozone) as well as ...
Theodoros Bratis, Georgios P. Kouretas, Evangelos Salachas   +2 more
wiley   +1 more source