Schafgans, Marcia M.A.

Number of items: 23.
Economics
  • Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2026). Multivariate kernel regression in vector and product metric spaces. Journal of Econometrics, 253, https://doi.org/10.1016/j.jeconom.2025.106168 picture_as_pdf
  • Kotlyarova, Yulia, Schafgans, Marcia M.A., Zinde-Walsh, Victoria (2021). Rates of expansions for functional estimators. Journal of Quantitative Economics, 19, 121-139. https://doi.org/10.1007/s40953-021-00266-8 picture_as_pdf
  • Hidalgo, Javier, Schafgans, Marcia (2021). Inference without smoothing for large panels with cross-sectional and temporal dependence. Journal of Econometrics, 223(1), 125 - 160. https://doi.org/10.1016/j.jeconom.2020.10.003 picture_as_pdf
  • Hidalgo, Javier, Schafgans, Marcia (2017). Inference and testing breaks in large dynamic panels with strong cross sectional dependence. Journal of Econometrics, 196(2), 259-274. https://doi.org/10.1016/j.jeconom.2016.09.008
  • Kotlyarova, Yulia, Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2016). Smoothness: bias and effciency of nonparametric kernel estimators. In Gonzalez-Rivera, Gloria, Hill, Carter R., Lee, Tae-Hwy (Eds.), Essays in Honor of Aman Ullah . Emerald Group Publishing. picture_as_pdf
  • Schafgans, Marcia M. A., Stibora, Joachim (2014). Multiproduct firms, income distribution, and trade. (Economics of Industry EI 52). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Kotlyarova, Yulia, Schafgans, Marcia M. A., Zinde‐Walsh, Victoria (2011). Adapting kernel estimation to uncertain smoothness. (Econometrics Papers EM/2011/557). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2010). Smoothness adaptive average derivative estimation. Econometrics Journal, 13(1), 40-62. https://doi.org/10.1111/j.1368-423X.2009.00300.x
  • Donkers, Bas, Schafgans, Marcia M. A. (2008). Specification and estimation of semiparametric multiple-index models. Econometric Theory, 24(06), p. 1584. https://doi.org/10.1017/S0266466608080626
  • Schafgans, Marcia M. A., Stelcnery, Morton (2006). Selectivity and the gender wage gap decomposition in the presence of a joint decision process. (Econometrics Papers EM/2006/513). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A. (2004). Finite sample properties for the semiparametric estimation of the intercept of a censored regression model. Statistica Neerlandica, 58(1), 35-56. https://doi.org/10.1046/j.0039-0402.2003.00107.x
  • Donkers, Bas, Schafgans, Marcia M. A. (2003). A derivative based estimator for semiparametric index models. (CentER discussion paper 22). Center for Economic Research, Tilburg University.
  • Schafgans, Marcia M.A., Zinde-Walsh, Victoria (2002). On intercept estimation in the sample selection model. Econometric Theory, 18(1), 40-50.
  • Schafgans, Marcia M. A. (2000). Gender wage differences in Malaysia: parametric and semiparametric estimation. Journal of Development Economics, 63(2), 351-378. https://doi.org/10.1016/S0304-3878(00)00114-0
  • Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2000). On intercept estimation in the sample selection model. (EM 380). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A. (1999). Ethnic wage differences in Malaysia: parametric and semiparametric estimation of the Chinese-Malay wage gap. Journal of Applied Econometrics, 13(5), 481-504. https://doi.org/10.1002/(SICI)1099-1255(1998090)13:5<481::AID-JAE509>3.0.CO;2-I
  • Schafgans, Marcia M. A, Andrews, Donald W. K. (1998). Semiparametric estimation of the intercept of a sample selection model. Review of Economic Studies, 65(3), 497-517. https://doi.org/10.1111/1467-937X.00055
  • Schafgans, Marcia M. A. (1994). A model of household decision making in rural Kenya: fertility and education. In Saito, Katrine A., Spurling, Daphne, Mekonnen, Hailu (Eds.), Raising the Productivity of Women Farmers in Sub-Saharan Africa . World Bank.
  • Schafgans, Marcia M. A. (1991). Fertility determinants in Peru, a quantity-quality analysis. In Herz, Barbara K, Shahidur R, Khandker (Eds.), Women’s Work, Education, and Family Welfare in Peru . World Bank.
  • Schafgans, Marcia M. A. (1991). The extent and impact of women's contribution in Peru, a descriptive analysis. In Herz, Barbara K, Khandker, Shahidur R (Eds.), Women’s Work, Education, and Family Welfare in Peru . World Bank.
  • Schafgans, Marcia M.A., Koedijk, Kees G (1990). The tail index of exchange rate returns. Journal of International Economics, 29(1-2), 93-108. https://doi.org/10.1016/0022-1996(90)90065-T
    • STICERD
  • Hidalgo, Javier, Schafgans, Marcia M. A. (2017). Inference without smoothing for large panels with cross-sectional and temporal dependence. (Econometrics EM597). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A., Stibora, Joachim (2014). Multiproduct firms, income distribution, and trade. (Economics of Industry EI 52). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Kotlyarova, Yulia, Schafgans, Marcia M. A., Zinde‐Walsh, Victoria (2011). Adapting kernel estimation to uncertain smoothness. (Econometrics Papers EM/2011/557). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A., Stelcnery, Morton (2006). Selectivity and the gender wage gap decomposition in the presence of a joint decision process. (Econometrics Papers EM/2006/513). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Donkers, Bas, Schafgans, Marcia M. A. (2005). A method of moments estimator for semiparametric index models. (Econometrics Papers EM/2005/493). Suntory and Toyota International Centres for Economics and Related Disciplines.
  • Schafgans, Marcia M. A., Zinde-Walsh, Victoria (2000). On intercept estimation in the sample selection model. (EM 380). Suntory and Toyota International Centres for Economics and Related Disciplines.