Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks. [PDF]
Zhu F, Liu X, Wen J, Xie L, Peng L.
europepmc +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
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases. [PDF]
Douwes-Schultz D +3 more
europepmc +1 more source
Stock market returns, volatility, correlation and liquidity during the COVID-19 crisis: Evidence from the Markov switching approach. [PDF]
Just M, Echaust K.
europepmc +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
A Comparison Between Markov Switching Zero-Inflated and Hurdle Models for Spatio-Temporal Infectious Disease Counts. [PDF]
Xu M, Douwes-Schultz D, Schmidt AM.
europepmc +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
Risk contagion of COVID-19 to oil prices: A Markov switching GARCH and PCA approach. [PDF]
Siddiqui N, Mohamad Hasim H.
europepmc +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
Comparative stability analysis of Indonesian banks: Markov Switching-Dynamic Regression for Islamic and conventional sectors. [PDF]
Mawardi I +6 more
europepmc +1 more source

