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The effects of demographics and maternal behavior on the distribution of birth outcomes

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Cited by:

  1. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.
  2. Nataraj, Shanthi, 2011. "The impact of trade liberalization on productivity: Evidence from India's formal and informal manufacturing sectors," Journal of International Economics, Elsevier, vol. 85(2), pages 292-301.
  3. Victor Chernozhukov, 2005. "Extremal quantile regression," Papers math/0505639, arXiv.org.
  4. Jingwen Tu & Hu Yang & Chaohui Guo & Jing Lv, 2021. "Model averaging marginal regression for high dimensional conditional quantile prediction," Statistical Papers, Springer, vol. 62(6), pages 2661-2689, December.
  5. Wolfgang Frimmel & Gerald J. Pruckner, 2014. "Birth Weight And Family Status Revisited: Evidence From Austrian Register Data," Health Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 426-445, April.
  6. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
  7. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.
  8. Victor Chernozhukov & Iv'an Fern'andez-Val & Tetsuya Kaji, 2016. "Extremal Quantile Regression: An Overview," Papers 1612.06850, arXiv.org, revised Feb 2017.
  9. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
  10. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
  11. Andrew M. Jones & Ángel López-Nicolás, 2002. "The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression," Economics Working Papers 626, Department of Economics and Business, Universitat Pompeu Fabra.
  12. Martina Pons, 2022. "The impact of air pollution on birthweight: evidence from grouped quantile regression," Empirical Economics, Springer, vol. 62(1), pages 279-296, January.
  13. Guillaume Carlier & Victor Chernozhukov & Alfred Galichon, 2014. "Vector quantile regression," CeMMAP working papers CWP48/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  14. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Business and Economics.
  15. Martínez-Iriarte, Julián & Montes-Rojas, Gabriel & Sun, Yixiao, 2024. "Unconditional effects of general policy interventions," Journal of Econometrics, Elsevier, vol. 238(2).
  16. Yuya Sasaki & Yulong Wang, 2022. "Fixed-k Inference for Conditional Extremal Quantiles," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 829-837, April.
  17. Kaplan, David M., 2015. "Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion," Journal of Econometrics, Elsevier, vol. 185(1), pages 20-32.
  18. Colin Cannonier, 2012. "State abstinence education programs and teen birth rates in the US," Review of Economics of the Household, Springer, vol. 10(1), pages 53-75, March.
  19. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
  20. Marilena Furno & Francesco Caracciolo, 2020. "Multi-valued Double Robust quantile treatment effect," Empirical Economics, Springer, vol. 58(5), pages 2545-2571, May.
  21. Goldman, Matt & Kaplan, David M., 2017. "Fractional order statistic approximation for nonparametric conditional quantile inference," Journal of Econometrics, Elsevier, vol. 196(2), pages 331-346.
  22. Borooah, Vani K., 2005. "The height-for-age of Indian children," Economics & Human Biology, Elsevier, vol. 3(1), pages 45-65, March.
  23. Lautharte, Ildo, 2021. "Babies and Bandidos: Birth outcomes in pacified favelas of Rio de Janeiro," Journal of Health Economics, Elsevier, vol. 77(C).
  24. Chris Herbst & Erdal Tekin, 2011. "Child care subsidies and childhood obesity," Review of Economics of the Household, Springer, vol. 9(3), pages 349-378, September.
  25. Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022. "Fast algorithms for the quantile regression process," Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
  26. Bryan S. Graham & Jinyong Hahn & Alexandre Poirier & James L. Powell, 2015. "Quantile regression with panel data," CeMMAP working papers CWP12/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  27. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Papers 2206.08503, arXiv.org, revised Apr 2024.
  28. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2008. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(2), pages 410-428, August.
  29. Costa-Font, Montserrat & Costa-Font, Joan, 2009. "Heterogeneous 'adaptation' and 'income effects' across self-reported health distribution?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 574-580, August.
  30. Mark D. Agee & Scott E. Atkinson & Thomas D. Crocker, 2009. "Multiple‐Output Child Health Production Functions: The Impact of Time‐Varying and Time‐Invariant Inputs," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 909-927, January.
  31. Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
  32. Yun Yang & Surya T. Tokdar, 2017. "Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1107-1120, July.
  33. Aparna Lhila & Sharon Long, 2012. "What is driving the black–white difference in low birthweight in the US?," Health Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 301-315, March.
  34. Daniel Kim & Adrianna Saada, 2013. "The Social Determinants of Infant Mortality and Birth Outcomes in Western Developed Nations: A Cross-Country Systematic Review," IJERPH, MDPI, vol. 10(6), pages 1-40, June.
  35. Lavergne, Pascal & Bertail, Patrice, 2020. "Bootstrapping Quasi Likelihood Ratio Tests under Misspecification," TSE Working Papers 20-1102, Toulouse School of Economics (TSE).
  36. Zhengyu Zhang & Zequn Jin & Lihua Lin, 2024. "Identification and inference of outcome conditioned partial effects of general interventions," Papers 2407.16950, arXiv.org.
  37. Kompal Sinha, 2005. "Household Characteristics and Calorie Intake in Rural India: A Quantile Regression Approach," ASARC Working Papers 2005-02, The Australian National University, Australia South Asia Research Centre.
  38. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez‐Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321, November.
  39. Rothe, Christoph, 2010. "Nonparametric estimation of distributional policy effects," Journal of Econometrics, Elsevier, vol. 155(1), pages 56-70, March.
  40. Stefan Holst Bache & Christian M. Dahl & Johannes Tang, "undated". "Headlights on tobacco road to low birthweight outcomes - Evidence from a battery of quantile regression estimators and a heterogeneous panelCreation-Date: 20080508," CREATES Research Papers 2008-20, Department of Economics and Business Economics, Aarhus University.
  41. Colin Cannonier, 2009. "State Abstinence Education Programs and Teen Fertility in the U.S," Departmental Working Papers 2009-14, Department of Economics, Louisiana State University.
  42. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
  43. Sai Ma & Brian Finch, 2010. "Birth Outcome Measures and Infant Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(6), pages 865-891, December.
  44. Nastis, Stefanos A. & Crocker, Thomas D., 2012. "Valuing mother and child health: The intrauterine environment," Economics & Human Biology, Elsevier, vol. 10(3), pages 318-328.
  45. Sweeney, Stuart & Davenport, Frank & Grace, Kathryn, 2013. "Combining insights from quantile and ordinal regression: Child malnutrition in Guatemala," Economics & Human Biology, Elsevier, vol. 11(2), pages 164-177.
  46. David M. Kaplan, 2014. "Nonparametric Inference on Quantile Marginal Effects," Working Papers 1413, Department of Economics, University of Missouri.
  47. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
  48. Steven G. Xu & Brian J. Reich, 2023. "Bayesian nonparametric quantile process regression and estimation of marginal quantile effects," Biometrics, The International Biometric Society, vol. 79(1), pages 151-164, March.
  49. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," ACED Working Papers 2009003, University of Antwerp, Faculty of Business and Economics.
  50. Maistre, Samuel & Lavergne, Pascal & Patilea, Valentin, 2014. "Powerful nonparametric checks for quantile regression," TSE Working Papers 14-501, Toulouse School of Economics (TSE).
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