Results 171 to 180 of about 131,180 (321)
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
Debt Ceilings With Fiscal Intransparency and Imperfect Electoral Accountability
ABSTRACT We study optimal debt ceilings in a political‐agency model with uncertainty about both policymaker type (benevolent or selfish) and economic state (good or bad). Elections generate disciplining and selection effects that differ across pooling, hybrid, and separating equilibria induced by different ceilings.
Randolph Sloof +2 more
wiley +1 more source
An Example of an Ancillary Statistic and the Combination of Two Samples by Bayes' Theorem [PDF]
D. A. Sprott
openalex +1 more source
Games Between Players With Dual‐Selves
ABSTRACT Human decision making often seems to be determined by the resolution of intrapersonal conflict. This paper conceptualizes the analysis of decisions governed by such dual‐self processes in individual decision contexts and strategic interactions.
Simon Dato +2 more
wiley +1 more source
Correction to: A software tool for applying Bayes' theorem in medical diagnostics. [PDF]
Chatzimichail T, Hatjimihail AT.
europepmc +1 more source
How Important Is the Home Market for Cross‐Listed Biotech Companies?
ABSTRACT This study investigates five German biotechnology firms cross‐listed on XETRA and NASDAQ. By employing high‐frequency data, we estimate both bivariate and trivariate vector error correction models—the latter explicitly accounting for exchange rate dynamics—to assess which market, domestic or U.S., leads in price discovery.
Theodore Panagiotidis, Pavlos Tsiokas
wiley +1 more source
Unconditional Variance Estimation Under Complex Surveys
Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
Evaluation of turbidity impact on the microbiological quality of water with usage of Bayes’ theorem
Izabela Zimoch, Jarosław Paciej
openalex +1 more source
Evaluation the Television Dramas Ranking Using the Bayes' theorem [PDF]
Boyang Lu, Ji Li, Yin-zhu Chen, Hang Xu
openalex +1 more source

