Estimation of Marginal Effects using Margeff

By Tamás Bartus. 2005

497 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/40d841cdec26ae99714c310e0612aa04487c9377

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In Economics and Econometrics

Citations in the corpus

The Effects of Entrepreneurship Education (2010, methodology): “We also calculate the averagemarginal effects (AME) for the interaction term (Bartus, 2005; Cameron and Trivedi, 2005).”
Punishment and counter-punishment in public good games: Can we really govern ourselves? (2008, unknown): “This allows me to estimate the average marginal e¤ects of the independent variables, their standard errors, and their p-values following Bartus (2005).”
Internal Control Weaknesses and Financial Reporting Fraud (2017, background): “…to the firm-year without a reported material weakness in the same year with 13 Marginal effects are the average of discrete or partial changes over all observations (Bartus 2005). the closest predicted probability of a material weakness.14 We retain only those pairs whose scores match within 0.01.”
An empirical analysis of zero-leverage firms: New evidence from the UK ☆ (2013, background): “predicted probability of a firm having zero leverage resulting from an infinitesimal change in a continuous independent variable or from a switch of a dummy variable from zero to one, holding other variables constant at their respective means (Bartus, 2005).”
Harnessing University Entrepreneurship for Economic Growth (2013, methodology): “For logit regression in STATA, the margeff command defines quantities of interest as the probability of a positive outcome, unity (Bartus, 2005).”
Interpreting Results From the Multinomial Logit Model (2015, background): “Because the MEM and AME may produce different estimates (Bartus, 2005) and because there is no agreement as to which of the two is the most representative (Greene, 2003), both can be included to provide the most informative summary of the marginal effects.”
Housing and Employment Insecurity among the Working Poor (2016, background): “Frequency of Observations in Treatment and Control Groups across Estimated Propensity Score, Full At-Risk Sample Notes: This figure shows a sufficient amount of common support between treatment and control groups in the full sample.”
Audit Committee Financial Expertise and Earnings Management: The Role of Status (2014, methodology): “12 Marginal effects are computed using the average of discrete or partial changes over all observations (Bartus, 2005), but the interaction effect is adjusted as described in Norton et al.”
The Determinants of Overeducation: Different Measures, Different Outcomes? (2010, methodology): “17 For the full estimation results, see Appendix D. 18 Except for the interaction effect between cohabiting and gender, these average marginal effects were computed in Stata by means of the ‘margeff’ command (Bartus, 2005).”