Results 211 to 220 of about 79,637 (281)

A scalable framework for identifying allelic series from summary statistics. [PDF]

Am J Hum Genet
McCaw ZR, Gao J, Dey R, Tucker S, Zhang Y, insitro Research Team, Gronsbell J, Li X, Fox E, O'Dushlaine C, Soare TW.   +10 more
europepmc   +1 more source

When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation

International Economic Review, EarlyView.
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

Misspecification-robust likelihood-free inference in high dimensions. [PDF]

Comput Stat
Thomas O, Sá-Leão R, de Lencastre H, Kaski S, Corander J, Pesonen H.   +5 more
europepmc   +1 more source

Ambiguity Aversion, Portfolio Choice, and Life Expectancy

International Economic Review, EarlyView.
ABSTRACT This paper studies how wealth and aging affect portfolio choices in a life‐cycle model with ambiguity aversion. Ambiguity aversion implies wealthier and older agents are endogenously more optimistic about risky asset returns, relative to poorer/younger agents. As life expectancy grows, old agents become even more optimistic, while young agents
Alistair Macaulay, Chenchuan Shi
wiley   +1 more source

Measurement Error and Power in Family-Based Extensions to Mendelian Randomization. [PDF]

Behav Genet
Castro-de-Araujo LFS, Singh M, Zhou YD, Vinh P, Maes HHM, Verhulst B, Dolan CV, Neale MC.   +7 more
europepmc   +1 more source

Alternative Approaches for Estimating Highest‐Density Regions

International Statistical Review, EarlyView.
Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley   +1 more source

So Many Choices: A Guide to Selecting Among Methods to Adjust for Observed Confounders. [PDF]

Stat Med
Keele L, Grieve R.
europepmc   +1 more source

Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy

International Statistical Review, EarlyView.
Summary Unemployment rate estimates for small areas are used to efficiently support the distribution of services and the allocation of resources, grants and funding. A Fay–Herriot type model is the most used tool to obtain these estimates. Under this approach out‐of‐sample areas require some synthetic estimates. As the geographical context is extremely
Roberto Benedetti, Federica Piersimoni, Monica Pratesi, Nicola Salvati, Thomas Suesse   +4 more
wiley   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation. [PDF]

Stat Med
D'Agostino McGowan L.
europepmc   +1 more source