Alyssa Carlson
Names
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Alyssa |
| last: |
Carlson |
Identifer
Contact
Affiliations
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University of Missouri
/ Economics Department
Research profile
author of:
- Parametric Identification of Multiplicative Exponential Heteroscedasticity
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford (2019)
by Alyssa Carlson
(ReDIF-article, bla:obuest:v:81:y:2019:i:3:p:686-696) - GTSHECKMAN: Stata module to compute a generalized two-step Heckman selection model
Statistical Software Components, Boston College Department of Economics (2022)
by Alyssa H. Carlson
(ReDIF-software, boc:bocode:s459109) - Heteroskedasticity and heterogeneity in sample-selection models
Economics Virtual Symposium 2024, Stata Users Group (2024)
by Alyssa Carlson
(ReDIF-paper, boc:econ24:07) - gtsheckman: Generalized two-step Heckman estimator
2022 Stata Conference, Stata Users Group (2022)
by Alyssa Carlson
(ReDIF-paper, boc:usug22:01) - Relaxing conditional independence in an endogenous binary response model
Journal of Econometrics, Elsevier (2023)
by Carlson, Alyssa
(ReDIF-article, eee:econom:v:232:y:2023:i:2:p:490-500) - gtsheckman: Generalized two-step Heckman estimator
Stata Journal, StataCorp LP (2024)
by Alyssa Carlson
(ReDIF-article, tsj:stataj:v:24:y:2024:i:4:p:687-710) - Relaxing Conditional Independence in an Endogenous Binary Response Model
Working Papers, Department of Economics, University of Missouri (2020)
by Alyssa Carlson
(ReDIF-paper, umc:wpaper:2008) - Addressing Sample Selection Bias for Machine Learning Methods
Working Papers, Department of Economics, University of Missouri (2021)
by Dylan Brewer & Alyssa Carlson
(ReDIF-paper, umc:wpaper:2102) - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients
Working Papers, Department of Economics, University of Missouri (2021)
by Alyssa Carlson & Riju Joshi
(ReDIF-paper, umc:wpaper:2103) - Relaxing Conditional Independence in an Endogenous Binary Response Model
Working Papers, Department of Economics, University of Missouri (2021)
by Alyssa Carlson
(ReDIF-paper, umc:wpaper:2113) - Addressing Sample Selection Bias for Machine Learning Methods
Working Papers, Department of Economics, University of Missouri (2021)
by Dylan Brewer & Alyssa Carlson
(ReDIF-paper, umc:wpaper:2114) - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients
Working Papers, Department of Economics, University of Missouri (2021)
by Alyssa Carlson & Riju Joshi
(ReDIF-paper, umc:wpaper:2115) - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients
Working Papers, Department of Economics, University of Missouri (2022)
by Alyssa Carlson & Riju Joshi
(ReDIF-paper, umc:wpaper:2203) - Identification of a triangular random coefficient model using a correction function
Working Papers, Department of Economics, University of Missouri (2022)
by Alyssa Carlson
(ReDIF-paper, umc:wpaper:2207) - Addressing Sample Selection Bias for Machine Learning Methods
Working Papers, Department of Economics, University of Missouri (2023)
by Dylan Brewer & Alyssa Carlson
(ReDIF-paper, umc:wpaper:2302) - Heckman sample selection estimators under heteroskedasticity
Working Papers, Department of Economics, University of Missouri (2023)
by Alyssa Carlson & Wei Zhao
(ReDIF-paper, umc:wpaper:2303) - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients
Working Papers, Department of Economics, University of Missouri (2023)
by Alyssa Carlson & Riju Joshi
(ReDIF-paper, umc:wpaper:2305) - Addressing Sample Selection Bias for Machine Learning Methods
Working Papers, Department of Economics, University of Missouri (2023)
by Dylan Brewer & Alyssa Carlson
(ReDIF-paper, umc:wpaper:2310) - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients
Working Papers, Department of Economics, University of Missouri (2023)
by Alyssa Carlson & Riju Joshi
(ReDIF-paper, umc:wpaper:2312) - Identification of a triangular random coefficient model using a correction function
Working Papers, Department of Economics, University of Missouri (2024)
by Alyssa Carlson
(ReDIF-paper, umc:wpaper:2405) - Addressing Attrition in Nonlinear Dynamic Panel Data Models with an Application to Health
Working Papers, Department of Economics, University of Missouri (2024)
by Alyssa Carlson & Anastasia Semykina
(ReDIF-paper, umc:wpaper:2408) - Identification of a triangular random coefficient model using a correction function
Working Papers, Department of Economics, University of Missouri (2024)
by Alyssa Carlson
(ReDIF-paper, umc:wpaper:2409) - Heckman sample selection estimators under heteroskedasticity
Working Papers, Department of Economics, University of Missouri (2024)
by Alyssa Carlson & Wei Zhao
(ReDIF-paper, umc:wpaper:2411) - Sample selection in linear panel data models with heterogeneous coefficients
Journal of Applied Econometrics, John Wiley & Sons, Ltd. (2024)
by Alyssa Carlson & Riju Joshi
(ReDIF-article, wly:japmet:v:39:y:2024:i:2:p:237-255) - Addressing sample selection bias for machine learning methods
Journal of Applied Econometrics, John Wiley & Sons, Ltd. (2024)
by Dylan Brewer & Alyssa Carlson
(ReDIF-article, wly:japmet:v:39:y:2024:i:3:p:383-400)