Results 151 to 160 of about 7,049,980 (289)
The Impact of Economic Growth on Insurance (Growth)
ABSTRACT This paper investigates the impact of economic growth on insurance (growth), focusing on the outflow side of the insurance activity, as captured by benefits (including commissions and expenses). The findings provide evidence that economic growth does exert a positive, statistically significant impact on the benefit side of insurance (growth ...
Nicholas Apergis +2 more
wiley +1 more source
Land Use Policy and Racial Segregation
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley +1 more source
Are consumers willing to pay more for future organic? Preference for certified transitional labels
Abstract The organic industry in the United States (US) has never kept pace with consumer demand and heavily relies on imports. This paper investigates how consumers value certified transitional labels, indicating growers are transitioning from conventional to organic production.
Xuqi Chen +4 more
wiley +1 more source
ABSTRACT The effects of monetary policy shocks are regularly estimated using high‐frequency surprises in asset prices around central bank meetings as an instrument. These studies, insofar as they explicitly model the relationship between instrument and structural shock, assume a constant relationship between the instrument and the monetary policy shock.
Pooyan Amir‐Ahmadi +2 more
wiley +1 more source
LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data. [PDF]
Huang L +5 more
europepmc +1 more source
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley +1 more source
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley +1 more source
A Joint Test of Unconfoundedness and Common Trends
ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley +1 more source
Statistical process monitoring for non -iid processes.
Monitoring non-iid processes and fault diagnosis for root cause determination are very useful and challenging tasks for various manufacturing process quality control applications.
Sun, Baocheng
core
Fiscal Policy Regimes in Resource‐Rich Economies
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

