Instrumental Variables and GMM: Estimation and Testing von Baum, Christopher F, Schaffer, Mark E, Stillman, Steven

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Enhanced Routines for Instrumental Variables/Generalized Method of Moments Estimation and Testing von Baum, Christopher F., Schaffer, Mark E., Stillman, Steven

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Enhanced Routines for Instrumental Variables/Generalized Method of Moments Estimation and Testing von Baum, Christopher F., Schaffer, Mark E., Stillman, Steven

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Estimating the Causal Effect of Gun Prevalence on Homicide Rates: A Local Average Treatment Effect Approach von Kovandzic, Tomislav, Schaffer, Mark E., Kleck, Gary

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Police, Crime and the Problem of Weak Instruments: Revisiting the “More Police, Less Crime” Thesis von Kovandzic, Tomislav V., Schaffer, Mark E., Vieraitis, Lynne M., Orrick, Erin A., Piquero, Alex R.

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WAGE POLICIES OF A RUSSIAN FIRM AND THE FINANCIAL CRISIS OF 1998: EVIDENCE FROM PERSONNEL DATA, 1997 TO 2002 von DOHMEN, THOMAS, LEHMANN, HARTMUT F., SCHAFFER, MARK E.

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lassopack: Model selection and prediction with regularized regression in Stata von Ahrens, Achim, Hansen, Christian B., Schaffer, Mark E.

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Enterprise restructuring and economic policy in Russia

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ddml: Double/debiased machine learning in Stata von Ahrens, Achim, Hansen, Christian B., Schaffer, Mark E., Wiemann, Thomas

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pystacked: Stacking generalization and machine learning in Stata von Ahrens, Achim, Hansen, Christian B., Schaffer, Mark E.

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Do Firms in Transition Economies Have Soft Budget Constraints? A Reconsideration of Concepts and Evidence von Schaffer, Mark E.

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USING STATA FOR APPLIED RESEARCH: REVIEWING ITS CAPABILITIES von Baum, Christopher F., Schaffer, Mark E., Stillman, Steven

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Practical Steps to Improve Specification Testing von Nichols, Austin, Schaffer, Mark E.

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Using Machine Learning Methods to Support Causal Inference in Econometrics von Ahrens, Achim, Aitken, Christopher, Schaffer, Mark E.

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Are profit-maximisers the best survivors?: A Darwinian model of economic natural selection von Schaffer, Mark E.

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Using Machine Learning Methods to Estimate the Gender Wage Gap von Forshaw, Rachel, Iakovlev, Vsevolod, Schaffer, Mark E., Tealdi, Cristina

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Evolutionarily stable strategies for a finite population and a variable contest size von Schaffer, Mark E.

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Transition, Convergence, and Labor Market Adjustment in Prospect and in Hindsight von Lehmann, Hartmut, Schaffer, Mark E

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Stacking Regression for Time-Series, with an Application to Forecasting Quarterly US GDP Growth von Ersoy, Erkal, Li, Haoyang, Schaffer, Mark E., Szendrei, Tibor

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Soviet power plus electrification: What is the long-run legacy of communism? von Carlin, Wendy, Schaffer, Mark, Seabright, Paul

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