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Debiased Machine 学习 (Learning): Identification, 估计 (Estimation), and Shape Constraints
Debiased Machine Learning: Identification, Estimation, and Shape Constraints
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Stochastic Potential Choices and Outcomes
👁 81 📚 30
Identifying Treatment and Spillover Effects with Control-Based and Forecast-Based Counterfactuals
👁 162 📚 25
Vector Search As Nearest Neighbor Matching: RAG-based Policy 学习 (Learning) in Causal 推断 (Inference)
Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference
👁 65 📚 9
mnorm: An R Package for Calculation and Differentiation of Conditional Multivariate Normal Densities...
👁 52 📚 21
Aggregation Bias in Proxy Measurement: Nighttime Lights and Local Economic Activity
👁 53 📚 23
Robust 推断 (Inference) for Weighted Estimands
Robust Inference for Weighted Estimands
👁 39 📚 11
Finite-Population 推断 (Inference) for Heterogeneity in Many-Group Synthetic Difference-in-Differences
Finite-Population Inference for Heterogeneity in Many-Group Synthetic Difference-in-Differences
👁 171 📚 24
A Design-Based Approach to Testing and 推断 (Inference) in (Quasi-)Experiments with Spillovers
A Design-Based Approach to Testing and Inference in (Quasi-)Experiments with Spillovers
👁 139 📚 12
A Machine-学习 (Learning)-Compatible Omnibus Test for Treatment Effect Heterogeneity
A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity
👁 65 📚 21
推断 (Inference) for Group Interaction Experiments
Inference for Group Interaction Experiments
👁 90 📚 5
Time-Varying 模型 (Model) Averaging of Multi-layer Network Vector Autoregressions
Time-Varying Model Averaging of Multi-layer Network Vector Autoregressions
👁 231 📚 0
Embedding Foundation 模型 (Model) 预测 (Prediction)s in Discrete-Choice 模型 (Model)s with Structural Guar...
Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees
👁 57 📚 17
Choosing What to Calibrate and What to Estimate in Structural 模型 (Model)s
Choosing What to Calibrate and What to Estimate in Structural Models
👁 167 📚 26
Bounds for Standard Errors in Combined 数据 (Data)
Bounds for Standard Errors in Combined Data
👁 153 📚 3
Variance or Standard Deviation? Shell Geometry and Global-Scale Priors in High-Dimensional Shrinkage
👁 155 📚 20
Institutions, Inputs, and Agricultural Growth in China:Revisiting Several Controversies, 1949--1986
👁 95 📚 8
Choosing A Headline Estimand from Matching, DID, and Hybrid Designs: A Minimax-Regret Approach
👁 154 📚 25
Generative Predictive Distributions for Time Series
👁 44 📚 25
Forecasting with 贝叶斯 (Bayesian) Panel Vector Autoregressions Using the R Package bpvars
Forecasting with Bayesian Panel Vector Autoregressions Using the R Package bpvars
👁 166 📚 22
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