Results 141 to 150 of about 31,140,529 (283)

Fiscal Policy Regimes in Resource‐Rich Economies

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We analyse fiscal policy in resource‐rich economies using a novel Bayesian regime‐switching panel model. The identified regimes capture pro‐ or countercyclical fiscal behaviour by allowing regime‐specific shifts in the average fiscal stance, while the switches between the regimes have the interpretation of changes in fiscal policy.
Hilde C. Bjørnland   +3 more
wiley   +1 more source

Labor Market Institutions, Fiscal Multipliers, and Macroeconomic Volatility

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT How do labor market institutions shape the transmission of government spending shocks and macroeconomic volatility? We develop a theoretical model in which labor market institutions affect fiscal transmission through their effect on wage rigidity, job separation, and matching frictions.
Maximilian Boeck   +2 more
wiley   +1 more source

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

open access: yes
Federated learning (FL), as a machine learning framework, has garnered substantial attention from researchers in recent years. FL makes it possible to train a global model through coordination by a central server while ensuring the privacy of data on ...
Xiulai Li (20258019)   +3 more
core   +1 more source

Evaluation of Remotely Sensed Inundation Data Sets to Estimate Flood‐Associated Emergency Department Visits After Hurricane Harvey

open access: yesGeoHealth
Floods can increase the risk of adverse health outcomes through multiple pathways, including contamination of food and water. Remotely sensed (RS) inundation extents can help identify regions with expected heightened flood‐related health risks, but ...
Balaji Ramesh   +6 more
doaj   +1 more source

Non-IID latent variable models [PDF]

open access: yes, 2019
University of Technology Sydney. Faculty of Engineering and Information Technology.Latent Variable Model (LVM) is the statistical model that aims to uncover hidden information behind data.
Do, Trong Dinh Thac
core   +1 more source

Striking a Bargain: Narrative Identification of Wage Bargaining Shocks

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Wage markup shocks, an important driver of business cycles, are hard to pin down. We quantify the importance of exogenous variation in wage bargaining power, one source of those shocks, from German minimum wage introduction episodes and strikes. This disciplines the impulse responses of unemployment and output, and sharpens inference for other
Žymantas Budrys   +2 more
wiley   +1 more source

Small Area Consumption Estimates Combining Survey and Financial Footprints Data

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We estimate average equivalised consumption measures across 370 local authority districts in Great Britain, using small‐area estimation methods that combine information from a household budget survey, a much larger survey of local demographics and employment, and area‐level information on bank account outflows and energy consumption.
Peter Levell, Lars Nesheim, Gautam Vyas
wiley   +1 more source

Two Two‐Tier Stochastic Frontier Replications

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT We replicate the two foundational studies which proposed the two‐tier stochastic frontier model, first in the cross‐sectional setting and then for the fixed effects panel data model. We explore matters of software then and now, different mathematical formulations of the likelihood, and alternative current software tools.
Alecos Papadopoulos   +1 more
wiley   +1 more source

From Ashes to Action: Economic Growth, Ecological Footprint, and Forest Fire Resilience in Advanced and Emerging Economies

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Forest fires have escalated alarmingly, now consuming more than double the tree cover compared to two decades ago, signaling a growing and urgent environmental crisis. This study addresses the ever increasing global concern of forest fires, focusing on sustainable economic recovery while minimizing the ecological footprint amid mounting ...
Laxita Soontha   +2 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy