Results 121 to 130 of about 13,400 (267)
The Short and the Long of It: Stock‐Flow Matching in the US Housing Market
ABSTRACT From 2006 until 2020, the probability of selling a house in the U.S. declined sharply after listing for 2 weeks. Moreover, sales within the first 2 weeks of listing (“quick sales”) and sales happening afterward (“slow sales”) behaved differently over the housing cycle.
Eric Smith, Zoe Xie, Lei Fang
wiley +1 more source
Labor Market Monopsony Power and the Dynamic Gains to Openness Reforms
ABSTRACT We embed labor market monopsony into a dynamic heterogeneous‐firm general equilibrium model with exporting, horizontal FDI, and rich firm lifecycle dynamics. Rising marginal costs with monopsony slow and limit incumbent firm growth in response to liberalization, shifting adjustment to the extensive margin.
Priyaranjan Jha +2 more
wiley +1 more source
ABSTRACTLarger firms feature (i) longer hours worked, (ii) higher wages, and (iii) smaller (larger) wage penalties for working long (short) hours. We reconcile these patterns in a general equilibrium model, which features the endogenous interaction of hours, wages, and firm size. In the model, workers willing to work longer hours sort into larger firms
Lin Shao +2 more
wiley +1 more source
Abstract Aims To evaluate the sustained impact of the Endocrine Hypertension Service on primary aldosteronism (PA) diagnosis and management over a subsequent 3‐year period. Background PA is a prevalent yet underdiagnosed cause of secondary hypertension, associated with increased cardiovascular, renal and metabolic risk. Limited awareness, resources and
Minn W. Chow +5 more
wiley +1 more source
A Horse Race of Machine‐Learning Methods to Predict Banking Crises
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley +1 more source
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley +1 more source
Bispectral Analysis of Markov Switching Bilinear Models
We derive matrix expressions in closed form for the spectral and bispectral densities of Markov switching bilinear models. Under suitable assumptions, we prove that the sample estimators of the spectral and bispectral density matrices are consistent and asymptotically normally distributed.
maddalena cavicchioli +2 more
openaire +2 more sources
Abstract Offshore wind energy plays a crucial role in the transition to low‐carbon power generation. The expansion of offshore wind farms (OWFs) introduces anthropogenic electromagnetic fields (EMFs) from subsea power cables. Elasmobranchs, including sharks and rays, are sensitive to natural electric and magnetic fields used for navigation and prey ...
Lotte J. Bouwman +6 more
wiley +1 more source
The expected inflation risk premium in the U.S. stock market
Abstract This article studies how expected inflation risk affects asset prices. We propose an ex‐ante, tradable proxy for this risk, derived from the term spread of gold futures prices. Using cross‐sectional and time series asset pricing tests, we show how an increase in expected inflation risk lowers contemporaneous prices and raises equity returns ...
Pascal Letourneau +2 more
wiley +1 more source

