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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
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mnorm: An R Package for Calculation and Differentiation of Conditional Multivariate Normal Densities...
👁 62 📚 21
Aggregation Bias in Proxy Measurement: Nighttime Lights and Local Economic Activity
👁 60 📚 23
Robust 推断 (Inference) for Weighted Estimands
Robust Inference for Weighted Estimands
👁 48 📚 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
👁 180 📚 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
👁 148 📚 12
A Machine-学习 (Learning)-Compatible Omnibus Test for Treatment Effect Heterogeneity
A Machine-Learning-Compatible Omnibus Test for Treatment Effect Heterogeneity
👁 75 📚 21
推断 (Inference) for Group Interaction Experiments
Inference for Group Interaction Experiments
👁 100 📚 5
Time-Varying 模型 (Model) Averaging of Multi-layer Network Vector Autoregressions
Time-Varying Model Averaging of Multi-layer Network Vector Autoregressions
👁 241 📚 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
👁 67 📚 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
👁 175 📚 26
Bounds for Standard Errors in Combined 数据 (Data)
Bounds for Standard Errors in Combined Data
👁 161 📚 3
Variance or Standard Deviation? Shell Geometry and Global-Scale Priors in High-Dimensional Shrinkage
👁 162 📚 20
Institutions, Inputs, and Agricultural Growth in China:Revisiting Several Controversies, 1949--1986
👁 103 📚 8
Choosing A Headline Estimand from Matching, DID, and Hybrid Designs: A Minimax-Regret Approach
👁 161 📚 25
Generative Predictive Distributions for Time Series
👁 52 📚 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
👁 172 📚 22
Semiparametric Local Projections
👁 226 📚 13
Price Elasticity of Gas Demand on L1 and L2: Evidence from Ethereum and Arbitrum
👁 58 📚 26
Panel 数据 (Data) 估计 (Estimation) of Individual Demand in Markets with Many Consumers
Panel Data Estimation of Individual Demand in Markets with Many Consumers
👁 196 📚 5
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