Search Results

Interpreting Instrumental Variable Estimands with Unobserved Treatment Heterogeneity: The Effects of College Education,
Clint Harris, from arXiv.org (2022)

Extreme bound analysis based on correlation coefficient for optimal regression model,
Nguyen, Loc PhD, PostDoc, from Center for Open Science (2022)

Graph Neural Networks for Causal Inference Under Network Confounding,
Michael Leung and Pantelis Loupos, from arXiv.org (2024)

Type I Tobit Bayesian Additive Regression Trees for Censored Outcome Regression,
Eoghan O'Neill, from arXiv.org (2024)

Efficient convex PCA with applications to Wasserstein GPCA and ranked data,
Steven Campbell and Ting-Kam Leonard Wong, from arXiv.org (2024)

Identification and Estimation of Continuous-Time Job Search Models with Preference Shocks,
Peter Arcidiacono, Attila Gyetvai, Arnaud Maurel and Ekaterina S. Jardim, from National Bureau of Economic Research, Inc (2022)

Constructing Fan Charts from the Ragged Edge of SPF Forecasts,
Todd Clark, Gergely Ganics and Elmar Mertens, from Federal Reserve Bank of Cleveland (2022)
Keywords: Term Structure of Expectations; Uncertainty; Survey Forecasts; Fan Charts

Bayesian Neural Networks for Macroeconomic Analysis,
Niko Hauzenberger, Florian Huber, Karin Klieber and Massimiliano Marcellino, from arXiv.org (2024)

Spatial Machine Learning – New Opportunities for Regional Science,
Katarzyna Kopczewska, from Faculty of Economic Sciences, University of Warsaw (2021)
Keywords: spatial machine learning, clustering, spatial covariates, spatial cross-validation, spatial autocorrelation

Redirect the Probability Approach in Econometrics Towards PAC Learning,
Duo Qin, from Department of Economics, SOAS University of London, UK (2022)
Keywords: probability; uncertainty; machine learning; hypothesis testing; knowledge; representation