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Personal profile

Research interests

Research interests: Economics of transition in Central and Eastern Europe, the former Soviet Union, and China Applied econometrics

Biography

AB, Magna Cum Laude in Social Studies, Harvard University, 1982 MScEcon in Economics, London School of Economics, 1984 MA in Economics, Stanford University, 1984 PhD in Economics, London School of Economics, 1990

Fingerprint Dive into the research topics where Mark Edwin Schaffer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Transition economies Business & Economics
Firm growth Business & Economics
Business environment Business & Economics
Testing Business & Economics
Market economy Business & Economics
Firm-level data Business & Economics
Planning Business & Economics
Labor Business & Economics

Co Author Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1992 2020

A Theory-based Lasso for Time-Series Data

Ahrens, A., Aitken, C., Ditzen, J., Ersoy, E., Kohns, D. & Schaffer, M. E., 8 Jan 2020, (Accepted/In press) In : Studies in Computational Intelligence.

Research output: Contribution to journalArticle

Nowcasting
Penalty
Cross-validation
Estimator
Time series data

Using Machine Learning Methods to Support Causal Inference in Econometrics

Ahrens, A., Aitken, C. & Schaffer, M. E., 8 Jan 2020, (Accepted/In press) In : Studies in Computational Intelligence.

Research output: Contribution to journalArticle

Econometrics
Causal inference
Learning methods
Machine learning
Shrinkage

lassopack: Model selection and prediction with regularized regression in Stata

Ahrens, A., Hansen, C. & Schaffer, M. E., 13 Jul 2019, (Accepted/In press) In : Stata Journal.

Research output: Contribution to journalArticle

cross section
prediction
panel data
time series
fold

PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference

Ahrens, A., Hansen, C. & Schaffer, M. E., 24 Jan 2019

Research output: Non-textual formSoftware

panel data
methodology
cross section
time series
fold
408 Downloads (Pure)

Police, Crime and the Problem of Weak Instruments: Revisiting the “More Police, Less Crime” Thesis

Kovandzic, T. V., Schaffer, M. E., Vieraitis, L. M., Orrick, E. A. & Piquero, A. R., Mar 2016, In : Journal of Quantitative Criminology. 32, 1, p. 133-158 26 p.

Research output: Contribution to journalArticle

Open Access
File
Police
Crime
police
offense
hiring

Press / Media