This article examines a model for consumer decision-making in today's market.
― 6 min read
Cutting edge science explained simply
This article examines a model for consumer decision-making in today's market.
― 6 min read
Latest Articles
Latest Articles
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A technique for evaluating treatment effects using observational data.
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A method for improving treatment assignments to enhance social welfare in networks.
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CUSP priors improve Bayesian factor analysis by managing model complexity.
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FFUDS framework boosts efficiency for on-demand service platforms.
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Learn how to analyze treatment effects when results take time to appear.
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New research highlights the impact of government spending on economic growth over tax cuts.
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News data enhances economic forecasts, especially in extreme scenarios.
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A new approach for measuring the effectiveness of advertising treatments.
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Exploring how misspecified priors can still yield reliable statistical estimates.
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A new method improves understanding of price changes on consumer welfare.
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A deep dive into the instrumental variable method and its challenges in political research.
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An overview of QML estimation and its applications in factor models.
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New method enhances covariance estimation for effective investment strategies.
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A new method tackles measurement error in machine learning within social sciences.
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New methods improve statistical inference for monotone functions.
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Sparse DFMs clarify data relationships for better economic insights.
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A look at how random assignments shape OLS regression outcomes.
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A fresh approach uncovers individual variations in program treatment effects.
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Neural INGARCH models enhance count data analysis for better forecasts.
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Exploring semi-instrumental variables in economic research to tackle complex relationships.
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A new estimator reveals important links between stock market activity and oil price changes.
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Analyzing how union policies impact wage distribution across different worker groups.
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A new statistical method offers better insights into treatment effects with multiple covariates.
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A method to speed up decision-making model estimation while maintaining accuracy.
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A new model improves economic forecasts by correcting mis-specification errors.
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