Results 71 to 80 of about 63,609 (288)
BEYOND THE MODEL SPECIFICATION PROBLEM: MODEL AND PARAMETER AVERAGING USING BAYESIAN TECHNIQUES [PDF]
The model specification problem is perhaps the Achilles heel of applied econometrics. Rather than test down to a single model as is usually done, we estimate 72 different demand systems and use Bayesian averaging procedures over all 72 systems to ...
Bryant, Henry L., Davis, George C.
core +1 more source
Health Economics, EarlyView.ABSTRACT The fiscal sustainability of healthcare systems is increasingly strained by aging populations with two competing hypotheses dominating the literature. The Red Herring Hypothesis suggests that healthcare expenditures are driven more by proximity to death than by chronological age, while the Steepening Hypothesis examines whether expenditures ...
Malene Kallestrup‐Lamb +2 more
wiley +1 more source
Cogent Economics & FinanceThis study explores the relationship between Somalia’s exchange rate and trade balance, considering additional factors such as inflation, the trade-to-GDP ratio, imports, and foreign direct investment (FDI).
Mohamud Hussein Mohamud +1 more
doaj +1 more source
Instrumental Variable Bayesian Model Averaging via Conditional Bayes Factors [PDF]
, 2012 We develop a method to perform model averaging in two-stage linear regression systems subject to endogeneity. Our method extends an existing Gibbs sampler for instrumental variables to incorporate a component of model uncertainty.
Karl, Anna, Lenkoski, Alex
core
Embracing Complexity in HRM Research: A Call for System and Process Perspectives
Human Resource Management, EarlyView.ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley +1 more source
EconometricsWe compare three modern Bayesian approaches, Hamiltonian Monte Carlo (HMC), Variational Bayes (VB), and Integrated Nested Laplace Approximation (INLA), for two classic spatial econometric specifications: the spatial lag model and spatial error model. Our
Yuheng Ling, Julie Le Gallo
doaj +1 more source
Comments on time-series analysis, forecasting and econometric modelling: The structural econometric modelling, time-series analysis (SEMTSA) approach, by A. Zellner. [PDF]
Professor Zellner has greatly contributed to econometrics in many aspects. This paper compiles a line of research developed by him and associates tha t goes back to the early 1970s, in which time-series techniques and Bayesian analysis are used in the ...
Espasa, Antoni
core
International Journal of Finance &Economics, EarlyView.ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang +3 more
wiley +1 more source
Interplay Between Green Investment and Market Price Premia in Global Shipping
International Journal of Finance &Economics, EarlyView.ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi +4 more
wiley +1 more source
Bayesian Inference for Econometric Models using Empirical Likelihood Functions [PDF]
Estimators based on moment conditions of the form E[g(X,t)], where t is a finite-dimensional parameter vector of interest, are a popular tool in applied econometrics.
Frank Schorfheide, Hyungsik Roger Moon
core