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Schaffer, Mark E
1391  Ergebnisse:
Personensuche X
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1

Using Machine Learning Methods to Estimate the Gender Wage ..:

, In: Machine Learning for Econometrics and Related Topics; Studies in Systems, Decision and Control,
Forshaw, Rachel ; Iakovlev, Vsevolod ; Schaffer, Mark E.. - p. 109-129 , 2024
Link: https://doi.org/10.1007/..
 
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2

ddml: Double/debiased machine learning in Stata:

Ahrens, Achim ; Hansen, Christian B. ; Schaffer, Mark E..
The Stata Journal: Promoting communications on statistics and Stata.  24 (2024)  1 - p. 3-45 , 2024
Link: https://doi.org/10.1177/..
 
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3

pystacked: Stacking generalization and machine learning in ..:

Ahrens, Achim ; Hansen, Christian B. ; Schaffer, Mark E.
The Stata Journal: Promoting communications on statistics and Stata.  23 (2023)  4 - p. 909-931 , 2023
Link: https://doi.org/10.1177/..
 
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4

Stacking Regression for Time-Series, with an Application to..:

, In: Optimal Transport Statistics for Economics and Related Topics; Studies in Systems, Decision and Control,
Ersoy, Erkal ; Li, Haoyang ; Schaffer, Mark E.. - p. 131-149 , 2023
Link: https://doi.org/10.1007/..
 
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5

What's Wrong with How We Teach Estimation and Inference in ..:

, In: Studies in Systems, Decision and Control; Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics,
Schaffer, Mark E. - p. 133-146 , 2022
Link: https://doi.org/10.1007/..
 
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6

An Introduction to Stacking Regression for Economists:

, In: Credible Asset Allocation, Optimal Transport Methods, and Related Topics; Studies in Systems, Decision and Control,
Ahrens, Achim ; Ersoy, Erkal ; Iakovlev, Vsevolod.. - p. 7-29 , 2022
Link: https://doi.org/10.1007/..
 
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7

Practical Steps to Improve Specification Testing:

, In: Prediction and Causality in Econometrics and Related Topics; Studies in Computational Intelligence,
Nichols, Austin ; Schaffer, Mark E. - p. 75-88 , 2021
Link: https://doi.org/10.1007/..
 
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8

Using Machine Learning Methods to Support Causal Inference ..:

, In: Studies in Computational Intelligence; Behavioral Predictive Modeling in Economics,
Ahrens, Achim ; Aitken, Christopher ; Schaffer, Mark E. - p. 23-52 , 2020
Link: https://doi.org/10.1007/..
 
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9

A Theory-Based Lasso for Time-Series Data:

, In: Data Science for Financial Econometrics; Studies in Computational Intelligence,
Ahrens, Achim ; Aitken, Christopher ; Ditzen, Jan... - p. 3-36 , 2020
Link: https://doi.org/10.1007/..
 
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10

lassopack: Model selection and prediction with regularized ..:

Ahrens, Achim ; Hansen, Christian B. ; Schaffer, Mark E.
The Stata Journal: Promoting communications on statistics and Stata.  20 (2020)  1 - p. 176-235 , 2020
Link: https://doi.org/10.1177/..
 
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11

Police, Crime and the Problem of Weak Instruments: Revisiti..:

Kovandzic, Tomislav V. ; Schaffer, Mark E. ; Vieraitis, Lynne M...
Journal of Quantitative Criminology.  32 (2016)  1 - p. 133-158 , 2016
Link: https://www.jstor.org/st..
 
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12

Police, Crime and the Problem of Weak Instruments: Revisiti..:

Kovandzic, Tomislav V. ; Schaffer, Mark E. ; Vieraitis, Lynne M...
Journal of Quantitative Criminology.  32 (2015)  1 - p. 133-158 , 2015
Link: https://doi.org/10.1007/..
 
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13

Labor reallocation and firm growth: benchmarking transition..:

Mitra, Pradeep ; Muravyev, Alexander ; Schaffer, Mark E
IZA Journal of Labor & Development.  3 (2014)  1 - p. , 2014
Link: https://doi.org/10.1186/..
 
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14

Wage Policies of a Russian Firm and the Financial Crisis of..:

Dohmen, Thomas ; Lehmann, Hartmut F. ; Schaffer, Mark E.
ILR Review.  67 (2014)  2 - p. 504-531 , 2014
Link: https://doi.org/10.1177/..
 
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15

WAGE POLICIES OF A RUSSIAN FIRM AND THE FINANCIAL CRISIS OF..:

DOHMEN, THOMAS ; LEHMANN, HARTMUT F. ; SCHAFFER, MARK E.
ILR Review.  67 (2014)  2 - p. 504-531 , 2014
Link: https://www.jstor.org/st..
 
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