Results 201 to 210 of about 10,511 (262)

Empirical Literature on Fiscal Multipliers: A Bibliometric Approach, 2002–2023

Journal of Economic Surveys, Volume 40, Issue 2, Page 783-820, April 2026.
ABSTRACT This paper reviews the empirical literature on fiscal multipliers through a bibliometric approach, analyzing 337 journal articles published between 2002 and 2023. The articles are categorized based on empirical methodologies, fiscal shock identification strategies, geographic focus, exchange rate arrangements, and macro‐financial regime ...
Margarida Correia Varela, Ana Paula Ferreira Ribeiro   +1 more
wiley   +1 more source

Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach. [PDF]

Sensors (Basel)
Leon-Medina JX, Fonseca Gonzalez JE, Callejas Rodriguez NY, González Niño ME, Hernández Moreno SA, Pineda-Munoz WA, Siachoque Celys CP, Umbarila Suarez B, Pozo F.   +8 more
europepmc   +1 more source

The Monetary Policy–Commodities Nexus: A Survey

Journal of Economic Surveys, Volume 40, Issue 2, Page 1050-1082, April 2026.
ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl, Niklas Humann, Pierre L. Siklos   +2 more
wiley   +1 more source

Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network. [PDF]

Sci Rep
Khan MA, Baig DE, Ali H, Albogamy FR.
europepmc   +1 more source

Measuring Growth Spillovers

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 2, Page 213-225, April 2026.
ABSTRACT We propose a multilevel econometric model with time‐varying spillover parameters that disentangle within‐country from between‐country growth spillovers. Parameter estimation is carried out by the method of maximum likelihood. The finite‐sample properties of the resulting estimates are validated through a Monte Carlo study.
F. Blasques, P. Gorgi, S. J. Koopman, J. Sampi   +3 more
wiley   +1 more source

Combination forecasting of COVID-19 in Bangladesh: guiding public health policy through integrated time series, ML, and DL models. [PDF]

BMC Infect Dis
Akther S, Dhar AK, Pingky JS.
europepmc   +1 more source

Data‐Driven Probabilistic Air‐Sea Flux Parameterization

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Accurately quantifying air‐sea fluxes is important for understanding air‐sea interactions and improving coupled weather and climate models. This study introduces a probabilistic framework to represent the highly variable nature of air‐sea fluxes, which is missing in deterministic bulk algorithms.
Jiarong Wu, Pavel Perezhogin, David John Gagne, Brandon G. Reichl, Aneesh C. Subramanian, Elizabeth J. Thompson, Laure Zanna   +6 more
wiley   +1 more source

Controllable protein design via autoregressive direct coupling analysis conditioned on principal components. [PDF]

PLoS Comput Biol
Caredda F, Gennai L, De Los Rios P, Pagnani A.   +3 more
europepmc   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

A Comprehensive Review of Data-Driven Techniques for Air Pollution Concentration Forecasting. [PDF]

Sensors (Basel)
Bernacki J, Scherer R.
europepmc   +1 more source