Alyssa Carlson
Names
| first: | Alyssa |
| last: | Carlson |
Identifer
| RePEc Short-ID: | pca1490 |
Contact
| homepage: | https://carlsonah.mufaculty.umsystem.edu/ |
Affiliations
-
University of Missouri
/ Department of Economics
- EDIRC entry
- location:
Research profile
author of:
- Parametric Identification of Multiplicative Exponential Heteroscedasticity (RePEc:bla:obuest:v:81:y:2019:i:3:p:686-696)
by Alyssa Carlson - GTSHECKMAN: Stata module to compute a generalized two-step Heckman selection model (RePEc:boc:bocode:s459109)
by Alyssa H. Carlson - XTGETS: Stata module providing Panel General-to-Specific (GETS) Indicator Saturation for Structural Break Detection (RePEc:boc:bocode:s459636)
by Merwan Roudane - MARGINS_DYNXTEPROBIT: Stata module to compute Marginal effects for a dynamic xteprobit with attrition (RePEc:boc:bocode:s459637)
by Alyssa H. Carlson - Heteroskedasticity and heterogeneity in sample-selection models (RePEc:boc:econ24:07)
by Alyssa Carlson - gtsheckman: Generalized two-step Heckman estimator (RePEc:boc:usug22:01)
by Alyssa Carlson - Relaxing conditional independence in an endogenous binary response model (RePEc:eee:econom:v:232:y:2023:i:2:p:490-500)
by Carlson, Alyssa - gtsheckman: Generalized two-step Heckman estimator (RePEc:tsj:stataj:v:24:y:2024:i:4:p:687-710)
by Alyssa Carlson - Heckman sample-selection estimators under heteroskedasticity (RePEc:tsj:stataj:v:25:y:2025:i:1:p:212-236)
by Alyssa H. Carlson & Wei Zhao - Relaxing Conditional Independence in an Endogenous Binary Response Model (RePEc:umc:wpaper:2008)
by Alyssa Carlson - Addressing Sample Selection Bias for Machine Learning Methods (RePEc:umc:wpaper:2102)
by Dylan Brewer & Alyssa Carlson - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients (RePEc:umc:wpaper:2103)
by Alyssa Carlson & Riju Joshi - Relaxing Conditional Independence in an Endogenous Binary Response Model (RePEc:umc:wpaper:2113)
by Alyssa Carlson - Addressing Sample Selection Bias for Machine Learning Methods (RePEc:umc:wpaper:2114)
by Dylan Brewer & Alyssa Carlson - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients (RePEc:umc:wpaper:2115)
by Alyssa Carlson & Riju Joshi - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients (RePEc:umc:wpaper:2203)
by Alyssa Carlson & Riju Joshi - Identification of a triangular random coefficient model using a correction function (RePEc:umc:wpaper:2207)
by Alyssa Carlson - Addressing Sample Selection Bias for Machine Learning Methods (RePEc:umc:wpaper:2302)
by Dylan Brewer & Alyssa Carlson - Heckman sample selection estimators under heteroskedasticity (RePEc:umc:wpaper:2303)
by Alyssa Carlson & Wei Zhao - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients (RePEc:umc:wpaper:2305)
by Alyssa Carlson & Riju Joshi - Addressing Sample Selection Bias for Machine Learning Methods (RePEc:umc:wpaper:2310)
by Dylan Brewer & Alyssa Carlson - Sample Selection in Linear Panel Data Models with Heterogeneous Coefficients (RePEc:umc:wpaper:2312)
by Alyssa Carlson & Riju Joshi - Identification of a triangular random coefficient model using a correction function (RePEc:umc:wpaper:2405)
by Alyssa Carlson - Addressing Attrition in Nonlinear Dynamic Panel Data Models with an Application to Health (RePEc:umc:wpaper:2408)
by Alyssa Carlson & Anastasia Semykina - Identification of a triangular random coefficient model using a correction function (RePEc:umc:wpaper:2409)
by Alyssa Carlson - Heckman sample selection estimators under heteroskedasticity (RePEc:umc:wpaper:2411)
by Alyssa Carlson & Wei Zhao - Sample selection in linear panel data models with heterogeneous coefficients (RePEc:wly:japmet:v:39:y:2024:i:2:p:237-255)
by Alyssa Carlson & Riju Joshi - Addressing sample selection bias for machine learning methods (RePEc:wly:japmet:v:39:y:2024:i:3:p:383-400)
by Dylan Brewer & Alyssa Carlson