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Marginal effects and significance testing with Heckman's sample selection model: a methodological note

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  • Colin Vance

Abstract

This article illustrates two techniques for calculating the statistical significance of the marginal effects derived from Heckman's sample selection model, an increasingly common econometric specification in economics and political science. The discussion draws on an analysis by Sweeney (2003) of the incidence and intensity of interstate disputes. After replicating his results, the article presents the delta method and the nonparametric bootstrap as alternative techniques for obtaining SEs of the marginal effects, which themselves are calculated from a transformation of the model parameters. The analysis reveals two variables for which misleading inferences are drawn with respect to the precision of the estimated coefficients in the original study, suggesting that significance testing of the derived marginal effects is warranted.

Suggested Citation

  • Colin Vance, 2009. "Marginal effects and significance testing with Heckman's sample selection model: a methodological note," Applied Economics Letters, Taylor & Francis Journals, vol. 16(14), pages 1415-1419.
    • Handle: RePEc:taf:apeclt:v:16:y:2009:i:14:p:1415-1419
    DOI: 10.1080/13504850701466049
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    Cited by:

    1. Checherita-Westphal, Cristina & Rother, Philipp, 2010. "The impact of high and growing government debt on economic growth: an empirical investigation for the euro area," Working Paper Series 1237, European Central Bank.
    2. Checherita-Westphal, Cristina & Rother, Philipp, 2012. "The impact of high government debt on economic growth and its channels: An empirical investigation for the euro area," European Economic Review, Elsevier, vol. 56(7), pages 1392-1405.
    3. Cristina Checherita-Westphal & Andrew Hughes Hallett & Philipp Rother, 2014. "Fiscal sustainability using growth-maximizing debt targets," Applied Economics, Taylor & Francis Journals, vol. 46(6), pages 638-647, February.
    4. Goic, Marcel & Rojas, Andrea & Saavedra, Ignacio, 2021. "The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 118-145.
    5. Goss, Allen & Roberts, Gordon S., 2011. "The impact of corporate social responsibility on the cost of bank loans," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1794-1810, July.
    6. Arbeláez, María Angélica & Parra Torrado, Mónica, 2011. "Innovation, R&D Investment and Productivity in Colombian Firms," IDB Publications (Working Papers) 3074, Inter-American Development Bank.
    7. Mate-Sanchez-Val, Mariluz & Harris, Richard, 2014. "Differential empirical innovation factors for Spain and the UK," Research Policy, Elsevier, vol. 43(2), pages 451-463.
    8. José Manuel López‐Fernández & Mariluz Maté‐Sánchez‐Val & Francisco Manuel Somohano‐Rodriguez, 2021. "The effect of micro‐territorial networks on industrial small and medium enterprises' innovation: A case study in the Spanish region of Cantabria," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 51-77, February.
    9. Juergen Jung & Jialu Liu Streeter, 2015. "Does health insurance decrease health expenditure risk in developing countries? The case of China," Southern Economic Journal, John Wiley & Sons, vol. 82(2), pages 361-384, October.
    10. Frondel Manuel & Vance Colin, 2013. "On Interaction Effects: The Case of Heckit and Two-Part Models," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(1), pages 22-38, February.
    11. Colin Vance & Ralf Hedel, 2006. "On the Link between Urban Form and Automobile Use - Evidence from German Survey Data," RWI Discussion Papers 0048, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
    12. Moumita Poddar & Tanmoyee Banerjee (Chatterjee) & Ajitava Raychaudhuri, 2019. "An economic analysis of the determinants of pattern of institutional borrowing in India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 54-92, June.
    13. Serge Atherwood & Corey S Sparks, 2019. "Early-career trajectories of young workers in the U.S. in the context of the 2008–09 recession: The effect of labor market entry timing," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-30, March.
    14. Colin Vance & Ralf Hedel, 2008. "On the Link Between Urban Form and Automobile Use: Evidence from German Survey Data," Land Economics, University of Wisconsin Press, vol. 84(1), pages 51-65.
    15. Rhodes, Charles, 2012. "An Empirical Analysis of Socio-Demographic Stratification in Sweetened Carbonated Soft-Drink Purchasing," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124678, Agricultural and Applied Economics Association.
    16. Chiabai, Aline & Quiroga, Sonia & Martinez-Juarez, Pablo & Suárez, Cristina & García de Jalón, Silvestre & Taylor, Tim, 2020. "Exposure to green areas: Modelling health benefits in a context of study heterogeneity," Ecological Economics, Elsevier, vol. 167(C).
    17. Ahn, Soojung & Steinbach, Sandro, 2021. "COVID-19 Trade Actions in the Agricultural and Food Sector," Journal of Food Distribution Research, Food Distribution Research Society, vol. 52(2), July.
    18. Alejandro D. Jacobo & Ileana R. Jalile, 2017. "The Impact of Government Debt on Economic Growth: An Overview for Latin America," Quaderni del Dipartimento di Economia, Finanza e Statistica 28/2017, Università di Perugia, Dipartimento Economia.

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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