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DO IN UTERO SHOCKS HAVE ADVERSE EFFECTS ON CHILD HEALTH OUTCOMES AND CAN WELFARE SCHEMES AMELIORATE SUCH EFFECTS? EVIDENCE FROM ANDHRA PRADESH, INDIA

Published online by Cambridge University Press:  27 November 2017

Salma Ahmed*
Affiliation:
Alfred Deakin Institute, Deakin University, Australia
Ranjan Ray
Affiliation:
Department of Economics, Monash University, Australia
*
1Corresponding author. Email: salma.ahmed@deakin.edu.au

Summary

This study aimed to assess whether shocks experienced by children in the mother’s womb can have an adverse effect on their future health, and whether these effects can be ameliorated by government welfare schemes. Data were taken from three phases of the Young Lives Survey carried out in the Indian state of Andhra Pradesh in 2002, 2007 and 2009–2010. Different types of in utero shock were distinguished from the data. Using ordinary least squares (OLS) estimation, it was observed that multiple in utero shocks reduced children’s weight-for-age and height-for-age z-scores by 0.07–0.08 and 0.08–0.15 units respectively. The roles of two Indian government welfare schemes – the Midday Meal Scheme (MDMS) and the National Rural Employment Guarantee Scheme (NREGS) – in mitigating the adverse effects of in utero shocks were examined. While the effect of the MDMS was statistically insignificant, that of the NREGS was significant. Although not designed to protect child health, the NREGS has been playing a more effective role than the MDMS in acting as a buffer against the damaging effects of in utero shocks on child health. The study points to the need for greater co-ordination between the two welfare schemes.

Type
Research Article
Copyright
© Cambridge University Press, 2017 

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References

Afridi, F. (2010) Child welfare programs and child nutrition: evidence from a mandated school meal program in India. Journal of Development Economics 92(2), 152165.Google Scholar
Almond, D. (2006) Is the 1918 influenza pandemic over? Long-term effects of in utero influenza exposure in the post-1940 U.S. population. Journal of Political Economy 114(4), 672712.Google Scholar
Bandyopadhyay, S., Kanji, S. & Wang, L. (2012) The impact of rainfall and temperature variation on diarrheal prevalence in sub-Saharan Africa. Applied Geography 33, 6372.Google Scholar
Barker, D. J. (1990) The fetal and infant origins of adult disease. British Medical Journal 301(6761), 1111.Google Scholar
Barker, D. J. (1995) Fetal origins of coronary heart disease. British Medical Journal 311(6998), 171174.Google Scholar
Becketti, S., Gould, W., Lillard, L. & Welch, F. (1988) The panel study of income dynamics after fourteen years: an evaluation. Journal of Labor Economics 6(4), 472492.Google Scholar
Bhattacharjee, G. (2017) MGNREGA as distribution of Dole. Economic & Political Weekly 52(25–26), 2933.Google Scholar
Boersma, B. & Wit, J. M. (1997) Catch-up growth. Endocrine Reviews 18(5), 646661.Google Scholar
Crookston, B. T., Schott, W., Cueto, S., Dearden, K. A., Engle, P., Georgiadis, A. et al. (2013) Postinfancy growth, schooling, and cognitive achievement: young lives. American Journal of Clinical Nutrition 98(6), 15551563.Google Scholar
Currie, J. (2009) Healthy, wealthy, and wise: socioeconomic status, poor health in childhood, and human capital development. Journal of Economic Literature 47(1), 87122.Google Scholar
Currie, J. & Vogl, T. (2013) Early-life health and adult circumstance in developing countries. Annual Review of Economics 5(1), 136.Google Scholar
Dasgupta, A. (2017) Can the major public works policy buffer negative shocks in early childhood? Evidence from Andhra Pradesh, India. Economic Development and Cultural Change 65(4), 767804.Google Scholar
Dasgupta, P. (1993) An Enquiry into Well-Being and Destitution. Oxford University Press, Oxford.Google Scholar
Datar, A., Liu, J., Linnemayr, S. & Stecher, C. (2013) The impact of natural disasters on child health and investments in rural India. Social Science & Medicine 76, 8391.Google Scholar
Dercon, S. & Porter, C. (2014) Live Aid revisited: long-term impacts of the 1984 Ethiopean Famine on children. Journal of the European Economic Association 12(4), 927948.Google Scholar
Dreze, J. & Goyal, A. (2003) Future of mid-day meals. Economic and Political Weekly 38(44), 46734683.Google Scholar
Dreze, J. & Khera, R. (2009) The battle for employment guarantee. Frontline 26(1). URL http://www.frontline.in/navigation/?type=static&page=archiveSearch&aid=20090116260100400&ais=01&avol=26.Google Scholar
Dutta, P., Murgai, M., Ravallion, M. & Walle, V. D. D. (2012) Does India’s employment guarantee scheme guarantee employment? World Bank Policy Research Working Paper No. 6003.Google Scholar
Erlend, B., Sambit, B., Rajasekhar, D. & Manjula, R. (2012) Can Public Works Affect Agricultural Wages? Evidence from India. CSAE Working Paper WPS/2012-05 Oxford, UK.Google Scholar
Fitzgerald, J., Gottschalk, P. & Moffitt, R. (1998) An analysis of sample attrition in panel data. Journal of Human Resources 33(2), 251299.Google Scholar
Hernández-Julián, R., Mansour, H. & Peters, C. (2014) The effects of intrauterine malnutrition on birth and fertility outcomes: evidence from the 1974 Bangladesh Famine. Demography 51(5), 17751796.Google Scholar
Jacoby, H., Tiwari, S. & Skoufias, E. (2013) Monsoon babies: rainfall shocks and child nutrition in Nepal. World Bank Policy Research Working Paper No. 6395.Google Scholar
Jain, M. (2015) India’s struggle against malnutrition – is the ICDS program the answer? World Development 67, 7289.Google Scholar
Jha, R., Bhattacharyya, S. & Gaiha, R. (2011) Social safety nets and nutrient deprivation: an analysis of the National Rural Employment Guarantee Program and the Public Distribution System in India. Journal of Asian Economics 22(2), 189201.Google Scholar
Khera, R. (2006) Mid-Day meals in primary schools: achievements and challenges. Economic and Political Weekly 41(46), 47424750.Google Scholar
Krutikova, S. & Lilleor, H. (2015) Fetal origins of personality: effects of early life circumstances on adult personality traits. CSAE Working Paper WPS/2015-03 Oxford, UK.Google Scholar
Kumar, S., Molitor, R. & Sebasian, V. (2014) Children of drought: rainfall shocks and early child health in rural India. SHSU Economics and International Business Working Paper No. 14-07.Google Scholar
Lazzaroni, S. & Wagner, N. (2016) Misfortunes never come singly: structural change, multiple shocks and child malnutrition in rural Senegal. Economics & Human Biology 23, 246262.Google Scholar
Lim, S. S., Dandona, L., Hoisington, J. A., James, S. L., Hogan, M. C. & Gakidou, E. (2010) India’s Janani Suraksha Yojana, a conditional cash transfer programme to increase births in health facilities: an impact evaluation. The Lancet 375(9730), 20092023.Google Scholar
Lin, M.-J. & Liu, E. M. (2014) Does in utero exposure to Illness matter? The 1918 influenza epidemic in Taiwan as a natural experiment. Journal of Health Economics 37, 152163.Google Scholar
Liu, Y. & Barett, C. (2013) Heterogenous pro-poor targeting in the National Rural Employment Guarantee Scheme. Economic & Political Weekly 48(10), 4653.Google Scholar
Maitra, P. & Ray, R. (2013) Child health in West Bengal. Economic & Political Weekly 48(49), 5058.Google Scholar
Mukhopadhyay, A., Himanshu & Sharan, M. R. (2015) Rationed funds and their allocation across villages: NREGS in Rajasthan. Economic and Political Weekly 50(6), 5260.Google Scholar
Narayanan, S. (2008) Employment guarantee, women’s work and childcare. Economic and Political Weekly 43(9), 1013.Google Scholar
Neelsen, S. & Stratmann, T. (2011) Effects of prenatal and early life malnutrition: evidence from the Greek famine. Journal of Health Economics 30(3), 479488.Google Scholar
Nelson, R. E. (2010) Testing the Fetal Origins Hypothesis in a developing country: evidence from the 1918 Influenza Pandemic. Health Economics 19(10), 11811192.Google Scholar
Outes, L. & Dercon, S. (2008) Survey attrition and attrition bias in Young Lives. Young Lives Technical Note No. 5. URL: https://www.younglives.org.uk/content/survey-attrition-and-attrition-bias-young-lives.Google Scholar
Rabassa, M., Skoufias, E. & Jacoby, H. (2012) Weather and child health in rural Nigeria. World Bank Policy Research Working Paper No. 6214.Google Scholar
Ray, R. & Mishra, A. (2012) Multi-dimensional deprivation in the awakening giants: a comparison of China and India on micro data. Journal of Asian Economics 23(4), 454465.Google Scholar
Ray, R. & Sinha, K. (2015) Multidimensional deprivation in China, India and Vietnam: a comparative study on micro data. Journal of Human Development and Capabilities 16(1), 6993.Google Scholar
Reddy, D. N., Tankha, R., Upendranadh, C. & Sharma, A. N. (2010) National Rural Employment Guarantee as social protection. IDS Bulletin 41(4), 6376.Google Scholar
Sahai, C. S. (2014) Mid-Day Meal Scheme: achievements and challenges. International Journal of Humanities and Social Science Invention 3(10), 69.Google Scholar
Singh, A., Park, A. & Dercon, S. (2014) School meals as a safety net: an evaluation of the Midday Meal Scheme in India. Economic Development and Cultural Change 62(2), 275306.Google Scholar
Torche, F. (2011) The effect of maternal stress on birth outcomes: exploiting a natural experiment. Demography 48(4), 14731491.Google Scholar
Wooldridge, J. (2000) Introductory Econometrics. South-Western College Publishing, Mason, Ohio.Google Scholar