Results 191 to 200 of about 13,362,899 (320)

News shocks, consumer confidence and business cycles

open access: yesEconomica, EarlyView.
Abstract We study the causal effects of consumer sentiment shocks on macroeconomic aggregates. By constructing a novel instrument based on major non‐economic news shocks in the USA over 1969–2022, and opinion polls around these events, we identify exogenous changes in consumer confidence.
Syed M. Hussain, Zara Liaqat
wiley   +1 more source

Higher Polynomial Identities for Mutations of Associative Algebras. [PDF]

open access: yesResults Math, 2023
Bremner MR, Brox J, Sánchez-Ortega J.
europepmc   +1 more source

Disentangling mechanisms that mediate soil fungal α and β diversity during forest secondary succession

open access: yesEcography, EarlyView.
Understanding the mechanisms controlling community diversity is a central, topic in ecology, particularly in microbial ecology. Although species pools and local assembly processes are believed to play non‐negligible roles in shaping the within‐community (α) and among‐community (β) diversity of microbial communities, their relative importance as ...
Xiao Zhang   +10 more
wiley   +1 more source

The Legacy of Policy Inaction in Climate‐Growth Models

open access: yesInternational Economic Review, EarlyView.
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

open access: yesInternational Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing   +2 more
wiley   +1 more source

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