The Decision to Invest in Child Quality Over Quantity: Household Size and Household Investment in Education in Vietnam

Dang, Hai-Anh; Rogers, Frances

doi:10.2139/ssrn.2628927

Cited by 17 publications

(19 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, Glick et al (2007) used twinning at first birth and found that unplanned fertility increases the nutritional status and school enrollment of later-born children in Romania. Instrumenting family size by the commuting distance to the nearest family planning center, Dang and Rogers (2016) showed that larger family size reduces investments on schooling in Vietnam.…”

Section: Literature Reviewmentioning

confidence: 99%

Preference for Boys, Family Size and Educational Attainment in India

Kugler¹,

Kumar

2015

View full text Add to dashboard Cite

Using data from nationally representative household surveys, we test whether Indian parents make trade-offs between the number of children and investments in education. To address the endogeneity due to the joint determination of quantity and quality of children, we instrument family size with the gender of the first child, which is plausibly random. Given a strong son preference in India, parents tend to have more children if the firstborn is a girl. Our instrumental variable results show that children from larger families have lower educational attainment and are less likely to be enrolled in school, with larger effects for rural, poorer, and low-caste families as well as for families with illiterate mothers.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Preference for Boys, Family Size and Educational Attainment in India

Kugler¹,

Kumar

2015

View full text Add to dashboard Cite

show abstract

“…This method has appeared in a number of publications as the strategy to deal with the endogeneity problem (e.g., Emran and Hou, 2013;Huang et al, 2009;Kelly et al, 2014;Sabia, 2007;Zhao, 2015). In particular, Denny and Oppedisano (2013) and Dang and Rogers (2015) also combine Lewbel's method with the common IV approach. The identification of Lewbel's method comes from the heteroscedasticity of the endogenous variables.…”

Section: Empirical Methodologymentioning

confidence: 99%

Does contact improve attitudes towards migrants in China?

Xue

2018

Econ Transit

View full text Add to dashboard Cite

Over the past three decades, China has experienced significant internal migration. However, migrants are often socially segregated and discriminated against in their destination cities in China. This paper uses a large representative survey to investigate whether interpersonal contact between urban locals and migrants improves urban locals’ attitudes towards migrants. The novel part of this paper is to examine the effect of different contact experiences on multiple dimensions of attitudes. The results show distinct patterns between the effects of non‐intimate and intimate contact experiences. All the OLS results, IV results and IV results together with Lewbel's () heteroscedasticity identification approach suggest that non‐intimate contact experience only significantly improves willingness to engage in non‐intimate interactions, and the magnitude of the effect reduces as the intimacy level of the intended interaction increases. On the contrary, intimate contact experience significantly improves willingness to engage in both non‐intimate and intimate interactions.

show abstract

“…Further schools of thought other than the synthesis theory that distance themselves from Becker's ideas explain the reduction in the fertility rate with several factors. These include the increase in female employment, economic crises, people's love of comfort and the opinion of contemporaries (see, for example, Kaplan 1994, Black et al 2005, Ellis 2008, Luci -Thevenon 2010, Sobotka et al 2011, Colleran et al 2015, Dang -Rogers 2016. And despite the apparent facts, the hotly debated Lawson -Borgerhoff Mulder (2016) study flatly rejects that there is any causality between human capital investments and the development of the total fertility rate.…”

Section: Beckerian Quantity-quality Trade-offmentioning

confidence: 99%

Possible Paths for GDP Per Capita – Simulation with a Demographic Growth Model

Berde¹,

Kuncz²

2017

Hitelintézeti szemle

View full text Add to dashboard Cite

To begin our paper, we point out the importance of demographic growth models by highlighting the conceptual framework of overlapping generations. We define the formulas in our own model based on Lee -Mason (2010) Journal of Economic Literature (JEL) codes: E23, J11, O40Keywords: overlapping generations model, total fertility rate, survival rate, simulation path, GDP per capita IntroductionThe exploration of the regularities in economic growth and the projection of potential future paths has excited economists since the emergence of economic thinking.1 Nevertheless, the significance of population numbers and structures * The views expressed in this paper are those of the author(s) and do not necessarily reflect the offical view of the Magyar Nemzeti Bank. Éva Berde is a professor at the Corvinus University of Budapest. E-mail: eva.berde@uni-corvinus.hu Izabella Kuncz is an assistant lecturer at the Corvinus University of Budapest. E-mail: izabella.kuncz@uni-corvinus.huThe study was financed by the Pallas Athena Domus Animae Foundation. The views expressed in this article are solely those of the authors.The Hungarian manuscript was received on 26 June 2017.DOI: http://doi.org/10.25201/FER.16.4.36571 The first such efforts that can be cited appeared with the representatives of the classical school of economics. Smith (1776) not only presented the benefits of the division of labour, but also mentioned that the productivity growth that can be achieved through the division of labour increases economic prosperity, and facilitates the future development of the economy. Review, Vol. 16 Issue 4., December 2017, pp. 36-57. Financial and Economic 37Possible Paths for GDP Per Capita only started to be taken into account in growth models much later.2 From the second half of the 1980s, as humanity entered the fourth stage of demographic transition, demographics determined economic developments to such an extent that demographic variables could no longer be left out of growth models.In the fourth stage of demographic transition, 3 the mortality rate steadily declines in almost all developed countries of the world, and in parallel with this, the total fertility rate (TFR) is even lower than earlier. The total fertility rate has dropped to below the replacement level several times, which portends serious problems for the future. Fulfilling the needs of the ageing population, and, more generally, maintaining the operation of the economy may prove to be highly difficult under such circumstances. While the total fertility rate of more developed regions drops, huge net population growth characterises certain less developed areas, due to a diminishing mortality rate combined with a high fertility rate, which, however, is still lower than earlier. In these countries, the future decrease in the total fertility rate and the further drop in the mortality rate are expected, and therefore it is likely that the share of the working-age population will soar temporarily. These trends may provide an economic stimulus to the countries concerned...

show abstract

The Decision to Invest in Child Quality Over Quantity: Household Size and Household Investment in Education in Vietnam

Cited by 17 publications

References 62 publications

Preference for Boys, Family Size and Educational Attainment in India

Preference for Boys, Family Size and Educational Attainment in India

Does contact improve attitudes towards migrants in China?

Possible Paths for GDP Per Capita – Simulation with a Demographic Growth Model

Contact Info

Product

Resources

About