Results 231 to 240 of about 1,325 (293)
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
Combined P-Value Functions for Compatible Effect Estimation and Hypothesis Testing in Drug Regulation. [PDF]
Pawel S, Roos M, Held L.
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
A Sharp Quantitative Alexandrov Inequality and Applications to Volume Preserving Geometric Flows in 3D. [PDF]
Julin V, Morini M, Oronzio F, Spadaro E.
europepmc +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
On the best constants of Schur multipliers of second order divided difference functions. [PDF]
Caspers M, Reimann J.
europepmc +1 more source
Convergence rate of precise asymptotics in the Baum-Katz laws of large numbers
Yu Miao, Xuefeng Sun
openalex +2 more sources
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
Objective Priors for Invariant e-Values in the Presence of Nuisance Parameters. [PDF]
Bortolato E, Ventura L.
europepmc +1 more source
Bayesian Model Averaging in Causal Instrumental Variable Models
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley +1 more source

