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Machine learning estimation of heterogeneous causal effects : empirical Monte Carlo evidence

Knaus, Michael C.; Lechner, Michael; Strittmatter, Anthony - 2018

We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an Empirical Monte Carlo Study that relies on arguably realistic data generation processes (DGPs) based on actual data. We consider 24...

Persistent link: https://www.econbiz.de/10011958919

Iassopack : model selection and prediction with regularized regression in stata

Ahrens, Achim; Hansen, Christian Bailey; Schaffer, Mark E. - 2019

This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso …, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS. The methods are suitable for the … (implemented in lasso2), K-fold cross-validation and h-step ahead rolling cross-validation for cross-section, panel and time …

Persistent link: https://www.econbiz.de/10011972491

Measuring financial wellbeing with self-reported and bank-record data

Comerton-Forde, Carole; Haisken-DeNew, John P.; … - 2020

This study develops multi-item scales of the financial wellbeing of customers of a major Australian bank using self-reported survey data that are matched with the customers' financial records. Using Item Response Theory (IRT) models, the study develops: First a Reported Financial Wellbeing Scale...

Persistent link: https://www.econbiz.de/10012316410

Machine learning and multiple abortions

Kumar, Pradeep; Nicodemo, Catia; Oreffice, Sonia; … - 2024

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient …

Persistent link: https://www.econbiz.de/10014545133

Upward and downward bias when measuring inequality of opportunity

Brunori, Paolo; Pergaine, Vito; Serlenga, Laura - 2018

Estimates of the level of inequality of opportunity have traditionally been interpreted as lower bounds due to the downward bias resulting from the partial observability of circumstances that affect individual outcome. We show that such estimates may also suffer from upward bias as a consequence...

Persistent link: https://www.econbiz.de/10011816080

Bayesian exploratory factor analysis

Conti, Gabriella; Frühwirth-Schnatter, Sylvia; … - 2014

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

Persistent link: https://www.econbiz.de/10010386488

Urban resilience and social security uptake : New Zealand evidence from the global financial crisis and the COVID-19 pandemic

Cochrane, William; Poot, Jacques; Roskruge, Matthew - 2022

This paper focuses on the spatial variation in the uptake of social security benefits following a large and detrimental exogenous shock. Specifically, we focus on the Global Financial Crisis (GFC) and the onset of the COVID-19 pandemic. We construct a two-period panel of 66 Territorial...

Persistent link: https://www.econbiz.de/10013347147