Results 141 to 150 of about 1,704,441 (287)

Are consumers willing to pay more for future organic? Preference for certified transitional labels

Journal of the Agricultural and Applied Economics Association, EarlyView.
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, Jared Gars, Dinglin Duan, Zhifeng Gao, Xin Zhao   +4 more
wiley   +1 more source

High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics

Journal of Applied Econometrics, EarlyView.
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, Christian Matthes, Mu‐Chun Wang   +2 more
wiley   +1 more source

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

Federated learning (FL), as a machine learning framework, has garnered substantial attention from researchers in recent years. FL makes it possible to train a global model through coordination by a central server while ensuring the privacy of data on ...
Xiulai Li (20258019), Ji He (40669), Wenhai Lu (12750431), Jieren Cheng (20258016)   +3 more
core  

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, EarlyView.
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

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
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

Journal of Applied Econometrics, EarlyView.
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

Fiscal Policy Regimes in Resource‐Rich Economies

Journal of Applied Econometrics, EarlyView.
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, Roberto Casarin, Marco Lorusso, Francesco Ravazzolo   +3 more
wiley   +1 more source

Labor Market Institutions, Fiscal Multipliers, and Macroeconomic Volatility

Journal of Applied Econometrics, EarlyView.
ABSTRACT How do labor market institutions shape the transmission of government spending shocks and macroeconomic volatility? We develop a theoretical model in which labor market institutions affect fiscal transmission through their effect on wage rigidity, job separation, and matching frictions.
Maximilian Boeck, Jesús Crespo Cuaresma, Christian Glocker   +2 more
wiley   +1 more source

A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew

Federated Learning (FL) is a decentralized paradigm that enables a client-server architecture to collaboratively train a global Artificial Intelligence model without sharing raw data, thereby preserving privacy.
Péninou, André, Ben Ali, Michael, Megdiche, Imen, Teste, Olivier   +3 more
core   +1 more source

Gender, Stereotypes, and Competitive Performance Gap: An Experimental Investigation

Managerial and Decision Economics, EarlyView.
ABSTRACT This study investigates how participants in competition react to gender stereotypes in performance. We propose two novel gender‐oriented tasks: clicking as a male‐oriented task and face recall as a female‐oriented task with two treatment conditions, which can strengthen shared gender stereotypes and foster gender competition.
Jaesun Lee, Ming Jiang, SeEun Jung
wiley   +1 more source