Machine Learning for Econometrics
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portes grátis
Machine Learning for Econometrics
L'Hour, Jeremy; Gaillac, Christophe
Oxford University Press
06/2025
352
Dura
Inglês
9780198918820
15 a 20 dias
Descrição não disponível.
1: Introduction
Part I. Statistics and Econometrics Prerequisites
2: Statistical tools
3: Causal inference
Part II. High-dimension and variable selection
4: Post-selection inference
5: Generalization and methodology
6: High dimension and endogeneity
7: Going further
Part III. Treatment effect heterogeneity
8: Inference on heterogeneous effects
9: Optimal policy learning
Part IV. Aggregated data and macroeconomic forecasting
10: The synthetic control method
11: Forecasting in high-dimension
Part V. Textual data
12: Working with text data
13: Word embeddings
14: Modern language models
Part VI. Exercises
15: Exercises
Bibliography
Index
Part I. Statistics and Econometrics Prerequisites
2: Statistical tools
3: Causal inference
Part II. High-dimension and variable selection
4: Post-selection inference
5: Generalization and methodology
6: High dimension and endogeneity
7: Going further
Part III. Treatment effect heterogeneity
8: Inference on heterogeneous effects
9: Optimal policy learning
Part IV. Aggregated data and macroeconomic forecasting
10: The synthetic control method
11: Forecasting in high-dimension
Part V. Textual data
12: Working with text data
13: Word embeddings
14: Modern language models
Part VI. Exercises
15: Exercises
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
1: Introduction
Part I. Statistics and Econometrics Prerequisites
2: Statistical tools
3: Causal inference
Part II. High-dimension and variable selection
4: Post-selection inference
5: Generalization and methodology
6: High dimension and endogeneity
7: Going further
Part III. Treatment effect heterogeneity
8: Inference on heterogeneous effects
9: Optimal policy learning
Part IV. Aggregated data and macroeconomic forecasting
10: The synthetic control method
11: Forecasting in high-dimension
Part V. Textual data
12: Working with text data
13: Word embeddings
14: Modern language models
Part VI. Exercises
15: Exercises
Bibliography
Index
Part I. Statistics and Econometrics Prerequisites
2: Statistical tools
3: Causal inference
Part II. High-dimension and variable selection
4: Post-selection inference
5: Generalization and methodology
6: High dimension and endogeneity
7: Going further
Part III. Treatment effect heterogeneity
8: Inference on heterogeneous effects
9: Optimal policy learning
Part IV. Aggregated data and macroeconomic forecasting
10: The synthetic control method
11: Forecasting in high-dimension
Part V. Textual data
12: Working with text data
13: Word embeddings
14: Modern language models
Part VI. Exercises
15: Exercises
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
