IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i6p1069-d148864.html
   My bibliography  Save this article

Parental Migration and Left-Behind Children’s Depressive Symptoms: Estimation Based on a Nationally-Representative Panel Dataset

Author

Listed:
  • Mi Zhou

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, Liaoning, China)

  • Xiaotong Sun

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, Liaoning, China)

  • Li Huang

    (College of Economics and Management, Shenyang Agricultural University, Shenyang 110866, Liaoning, China)

  • Guangsheng Zhang

    (School of Business, Liaoning University, Shenyang 110031, Liaoning, China)

  • Kaleigh Kenny

    (Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA)

  • Hao Xue

    (School of Economics and Management, Northwest University, Xi’an 710069, Shanxi, China
    Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710127, Shanxi, China)

  • Emma Auden

    (Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA
    Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an 710127, Shanxi, China)

  • Scott Rozelle

    (Rural Education Action Program, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA)

Abstract

China’s rapid urbanization in the past several decades have been accompanied by rural labor migration. An important question that has emerged is whether rural labor migration has a positive or negative impact on the depressive symptoms of children left behind in the countryside by their migrating parents. This paper uses a nationally representative panel dataset to investigate whether parental migration impacts the prevalence of depressive symptoms among left-behind children in China. Using DID and PSM-DID methods, our results show that parental migration significantly increases the depression scores of 10 and 11-year-old children by 2 points using the CES-D depression scale. Furthermore, we also find that the negative effect of decreased parental care is stronger than the positive effect of increased income in terms of determining the depressive symptoms status of children in rural China.

Suggested Citation

  • Mi Zhou & Xiaotong Sun & Li Huang & Guangsheng Zhang & Kaleigh Kenny & Hao Xue & Emma Auden & Scott Rozelle, 2018. "Parental Migration and Left-Behind Children’s Depressive Symptoms: Estimation Based on a Nationally-Representative Panel Dataset," IJERPH, MDPI, vol. 15(6), pages 1-13, May.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1069-:d:148864
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/6/1069/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/6/1069/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. Mi Zhou & Guangsheng Zhang & Scott Rozelle & Kaleigh Kenny & Hao Xue, 2018. "Depressive Symptoms of Chinese Children: Prevalence and Correlated Factors among Subgroups," IJERPH, MDPI, vol. 15(2), pages 1-10, February.
    3. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    4. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    5. Macours, Karen & Vakis, Renos, 2010. "Seasonal Migration and Early Childhood Development," World Development, Elsevier, vol. 38(6), pages 857-869, June.
    6. Gianna Claudia Giannelli & Lucia Mangiavacchi, 2010. "Children's Schooling and Parental Migration: Empirical Evidence on the ‘Left‐behind’ Generation in Albania," LABOUR, CEIS, vol. 24(s1), pages 76-92, December.
    7. Wu, Qiaobing & Lu, Deping & Kang, Mi, 2015. "Social capital and the mental health of children in rural China with different experiences of parental migration," Social Science & Medicine, Elsevier, vol. 132(C), pages 270-277.
    8. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    9. Giannelli, Gianna Claudia & Mangiavacchi, Lucia, 2010. "Children's Schooling and Parental Migration: Empirical Evidence on the," IZA Discussion Papers 4888, Institute of Labor Economics (IZA).
    10. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Luo & Jiaojiao Zou & Meimei Ji & Tong Yuan & Mei Sun & Qian Lin, 2019. "Emotional and Behavioral Problems Among 3- to 5-Year-Olds Left-Behind Children in Poor Rural Areas of Hunan Province: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(21), pages 1-12, October.
    2. Li Huang & Xue Zhang & Mi Zhou & Brendan Nuse & Liuyin Tong, 2019. "Depressive Symptoms and Migrant Worker Wages: Estimation Based on a Nationally-Representative Panel Dataset," IJERPH, MDPI, vol. 16(6), pages 1-13, March.
    3. Mingzhi Mao & Lijun Zang & Haifeng Zhang, 2020. "The Effects of Parental Absence on Children Development: Evidence from Left-Behind Children in China," IJERPH, MDPI, vol. 17(18), pages 1-17, September.
    4. Jingjing Lu & Minmin Jiang & Lu Li & Therese Hesketh, 2019. "Relaxation in the Chinese Hukou System: Effects on Psychosocial Wellbeing of Children Affected by Migration," IJERPH, MDPI, vol. 16(19), pages 1-9, October.
    5. Huajun Wu & Zhiyong Cai & Qing Yan & Yi Yu & Ning Neil Yu, 2021. "The Impact of Childhood Left-Behind Experience on the Mental Health of Late Adolescents: Evidence from Chinese College Freshmen," IJERPH, MDPI, vol. 18(5), pages 1-12, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu Bai & Linxiu Zhang & Chengfang Liu & Yaojiang Shi & Di Mo & Scott Rozelle, 2018. "Effect of Parental Migration on the Academic Performance of Left Behind Children in North Western China," Journal of Development Studies, Taylor & Francis Journals, vol. 54(7), pages 1154-1170, July.
    2. Gasmi, Farid & Kouakou, Dorgyles & Noumba Um, Paul & Rojas Milla, Pedro, 2023. "An empirical analysis of the social contract in the MENA region and the role of digitalization in its transformation," TSE Working Papers 23-1423, Toulouse School of Economics (TSE).
    3. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    4. Cadot, Olivier & Fernandes, Ana M. & Gourdon, Julien & Mattoo, Aaditya, 2015. "Are the benefits of export support durable? Evidence from Tunisia," Journal of International Economics, Elsevier, vol. 97(2), pages 310-324.
    5. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    6. Démurger, Sylvie & Wang, Xiaoqian, 2016. "Remittances and expenditure patterns of the left behinds in rural China," China Economic Review, Elsevier, vol. 37(C), pages 177-190.
    7. Heinrich, Carolyn J. & Mueser, Peter R. & Troske, Kenneth & Jeon, Kyung-Seong & Kahvecioglu, Daver C., 2009. "New Estimates of Public Employment and Training Program Net Impacts: A Nonexperimental Evaluation of the Workforce Investment Act Program," IZA Discussion Papers 4569, Institute of Labor Economics (IZA).
    8. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    9. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, May.
    10. Jin, Hyun Joung & Cho, Sung Min, 2021. "Effects of cigarette price increase on fresh food expenditures of low-income South Korean households that spend relatively more on cigarettes," Health Policy, Elsevier, vol. 125(1), pages 75-82.
    11. Wendimu, Mengistu Assefa & Henningsen, Arne & Gibbon, Peter, 2016. "Sugarcane Outgrowers in Ethiopia: “Forced” to Remain Poor?," World Development, Elsevier, vol. 83(C), pages 84-97.
    12. Alberini, Anna & Towe, Charles, 2015. "Information v. energy efficiency incentives: Evidence from residential electricity consumption in Maryland," Energy Economics, Elsevier, vol. 52(S1), pages 30-40.
    13. Lee, Ji Yong & Nayga Jr, Rodolfo M. & Jo, Young & Restrepo, Brandon J., 2022. "Time use and eating patterns of SNAP participants over the benefit month," Food Policy, Elsevier, vol. 106(C).
    14. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta & Darwin Ugarte Ontiveros, 2021. "Outliers in Semi-Parametric Estimation of Treatment Effects," Econometrics, MDPI, vol. 9(2), pages 1-32, April.
    15. Cansino, José M. & Lopez-Melendo, Jaime & Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2013. "An economic evaluation of public programs for internationalization: The case of the Diagnostic program in Spain," Evaluation and Program Planning, Elsevier, vol. 41(C), pages 38-46.
    16. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    17. Bounie, David & Camara, Youssouf, 2020. "Card-sales response to merchant contactless payment acceptance," Journal of Banking & Finance, Elsevier, vol. 119(C).
    18. Messe, Pierre-Jean & Rouland, Bénédicte, 2014. "Stricter employment protection and firms' incentives to sponsor training: The case of French older workers," Labour Economics, Elsevier, vol. 31(C), pages 14-26.
    19. Islam, Abu Hayat, 2015. "Can Integrated Rice-Fish System Increase Welfare of the Marginalized Extreme Poor in Bangladesh? A DID Matching Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211792, International Association of Agricultural Economists.
    20. Saeed, Muhammad Kashif & Hayat, Muhammad Azmat, 2020. "The Impact of Social Cash Transfers on Poverty in Pakistan-A Case Study of Benazir Income Support Programme," MPRA Paper 99805, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1069-:d:148864. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.