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UNIVERSITY OF ECONOMICS HO CHI MINH CITY VIETNAM INSTITUTE OF SOCIAL STUDIES THE HAGUE THE NETHERLANDS VIETNAM - NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS THE EFFECTS OF HOUSEHOLD’S CHARACTERISTICSONEDUCATIONEXPENDITUREINVIETNAM BY HOÀNG HƯƠNG GIANG MASTER OF ARTS IN DEVELOPMENT ECONOMICS HO CHI MINH CITY, DECEMBER 2014 UNIVERSITY OF ECONOMICS HO CHI MINH CITY VIETNAM INSTITUTE OF SOCIAL STUDIES THE HAGUE THE NETHERLANDS VIETNAM - NETHERLANDS PROGRAMME FOR M.A IN DEVELOPMENT ECONOMICS THE EFFECTS OF HOUSEHOLD’S CHARACTERISTICSONEDUCATIONEXPENDITUREINVIETNAM A thesis submitted in partial fulfilment ofthe requirements for the degree of MASTER OF ARTS IN DEVELOPMENT ECONOMICS BY HOÀNG HƯƠNG GIANG Academic Supervisor: DR TRẦN TIẾN KHAI HO CHI MINH CITY, December 2014 DECLARATION This is to certify that the thesis entitle “The effects of household’s characteristicsoneducationexpenditurein Vietnam”, which is submitted by me in partial fulfillment ofthe requirement for the degree of Master of Art in Development Economic to Vietnam – The Netherlands Program The thesis comprises only my original work and due supervision and acknowledgement have been made inthe text to all materials used Hoàng Hương Giang i|Page ACKNOWLEDGEMENT I would like to thank the great assistance of my supervisor, Dr Trần Tiến Khai, who has given me valuable comment, important advices me to complete this thesis Besides, I sincerely thank all lectures inVietnam – Netherlands Programme for their dedicated instruction and all the courses during the study In addition, I would like to thank all the academic and technical staffs oftheVietnam – Netherlands Programme for supporting during the course I also would like to thank my family, especially my mother and my husband, who motive my effort and support me a lot to finish my study Finally, I would like to thank my classmates, Ms Linh and Mr Quang, who has supported me to complete this work ii | P a g e ABBREVIATION GSO General Statistics Office OLS: Ordinary Least Square VHLSS: VietnamHouseholds Living Standard Survey VND: Vietnam Dong UNESCO: United Nations Educational, Scientific and Cultural Organization iii | P a g e ABSTRACT Collecting 4636 observations at household level from VHLSS 2012, this study aims to investigate the effects of current resources of family oneducationexpenditure ratio for children inVietnamThe findings ofthe study provide the whole context oftheeducationexpenditure situation in six regions ofVietnam as well as in urban and rural Besides, it is demonstrated that socio-economic status is the key indicators to educationexpenditure ratio Particularly, household’s income and education level of household head positively effectonthe ratio Beside, the occupation of household head is associated with educationexpenditure ratio for children In addition, the correlation between demographic factors and educationexpenditure ratio is also analyzed Accordingly, the findings indicate that educationexpenditure ratio is associated with gender of household head In fact, families whose household head being mother have higher ratio than those whose household head being father Similarly, theeducationexpenditure ratio of families being the Kinh is also higher than those being other ethnic minority groups Finally, the correlation between higher educationexpenditure ratio with higher number of schooling children confirms the fact that size of family is one the key factor influencing oneducation achievement of children Especially, the findings provide that theeducationexpenditure ratio for the boys and the girls are relatively equal inVietnam Furthermore, the policy recommendations relating to educationexpenditure were also drawn from findings to deal with the remaining disadvantages Key words: current resources, educationexpenditure ratio, VHLSS 2012, socioeconomic, demographic factors, regions, policy iv | P a g e TABLE CONTENTS CHAPTER INTRODUCTION 1.1 Problem Statements 1.2 Research Objectives 1.3 Research Question 1.3 Research Organization CHAPTER LITERATURE REVIEWS 2.1 Definitions 2.1.1 Education definition 2.1.2 Educationexpenditure 2.2 Theoretical reviews 2.2.1 Theory of Demand 2.2.2 Human Capital Theory 10 2.2.3 Integrated investment and consumption motives in a Neoclassical Model of demand for education 11 2.3Empirical studies 13 2.3.1 Effectof family backgrounds oneducationof children 14 2.3.1.1 Effectof Parental backgrounds oneducationof their children 14 2.3.1.2 Effectof demographic factors oneducationof children 16 2.3.1.3 Effectof geographic factors oneducationof children 18 2.3.2 Empirical researches on determinant oneducationexpenditure 19 2.3.2.1 Determinant oneducationexpenditurein rural India 19 2.3.2.2 Determinant oneducationexpenditurein China 20 2.3.2.3 Determinant oneducationexpenditurein United State 20 2.3.2.4 Determinant oneducationexpenditureinVietnam 21 2.4 Chapter summary 23 CHAPTER DATA AND RESEARCH METHODOLOGY 3.1 Data descriptions 24 3.1.1 Data Source 24 3.1.2 Data Descriptions 24 3.2 Hypothesis 26 3.2.1 Socio – Economic Factors 26 3.2.2 Demographic factors 28 3.2.3 Geographical factors 29 3.3 Method and Estimation Strategy 31 v|Page 3.3.1 Variables 31 3.3.1.1 The dependent variable 31 3.3.1.2 The independent variables 31 3.3.2 Estimation strategy 33 3.3.2.1Tobit setup 33 3.3.2.2Empirical model 34 CHAPTER EMPIRICAL RESULTS AND DISSCUSION 4.1 Educationexpenditure between regions ofVietnam 37 4.1.1 Expenditure ratio ofeducation and of other goods 37 4.1.2 Educationexpenditure by education level of children 39 4.1.3 Educationexpenditure by gender of children 41 4.1.4 Educationexpenditurein urban and rural areas 43 4.2 Educationexpenditure by parents’ backgrounds 43 4.2.1 Educationexpenditure by education level of household head 43 4.2.2 Educationexpenditure by household head’s occupation 45 4.2.3 Educationexpenditure ratio by gender of household head 45 4.3 Tobit estimation 46 4.3.1 Estimation results and discussions 46 4.3.1.1 Effected by socio –economic factors 48 4.3.1.2 Effected by demographic factors 49 4.3.1.3 Effected by geographic factors 50 4.3.2Testing for regression 51 4.3.2.1Testing the significant of coefficients simultaneously for regressions51 4.3.2.2Heteroscedasticity test 52 CHAPTER CONCLUSION AND POLICY IMPLICATION 5.1Conclusion remarks 53 5.2Policy implications 54 5.3Limitation ofthe study and recommendation for future researches 55 REFERENCES 57 vi | P a g e APPENDIX Appendix 1: Matrix of correlation between variables 61 Appendix 2: Wald test of overall significance ofthe model 61 Appendix 3: Robust estimation of Tobit 62 Appendix 4: Tobit estimation result (schooling boy and schooling girl) 62 Appendix 5: Tobit estimation result (schooling age 63 Appendix 6: Tobit estimation result (boy and girl at schooling age) 63 Appendix 7: Distribution ofeducationexpenditure ratio 64 Appendix 8: Average income by region 64 vii | P a g e LIST OF TABLES Table 3-1: The Observation proportion by regions 25 Table 3-2: Dummy variables 26 Table 3-3: Schooling age and enrollment rate between regions 30 Table 3-4: Statistical description of determinant household characteristics factors oneducationexpenditure 36 Table 4-1(a): Expenditure ratio of education, Health care and Foods by regions38 Table 4-1 (b): T-test for mean ofeducationexpenditure ratio by regions 38 Table 4-2: Educationexpenditure ratio by primary, secondary, and high education level by regions 40 Table 4-3: Educationexpenditure ratio by gender of children 42 Table 4-4: Educationexpenditure ratio between urban and rural areas .43 Table 4-5: Educationexpenditure ratio by education levels of household head 44 Table 4-6: Educationexpenditure ratio by occupations of household head 45 Table 4-7: Educationexpenditure ratio by gender of household head 45 Table 4-8: Tobit Estimation Results 47 Table 4-9: Effectof number of schooling age and of schooling children oneducationexpenditure ratio 50 Table 4-10: Wald test result on significance ofthe model 51 Table 4-11: Tobit and Robust estimation of Tobit .52 viii | P a g e that there are more schooling age children, there is more educationexpenditureOnthe other hand, it (3.2%) is smaller than theeffectof number of schooling children (8.1%) oneducationexpenditure ratio In fact, family having schooling age children does not mean they will send that child to school Consequently, it does not reflect actual educationexpenditure spending for children In other words, the number of schooling age children variable may not as good as the number of schooling children variable in term of measuring theeffect to educationexpenditure (See Table 4-9) Table 4-9: Effectof number of schooling age and of schooling children oneducationexpenditure ratio Schooling AGE children Schooling children Schooling AGE of boys Schooling AGE of girls Schooling boys Schooling girls Coef .0317565 0810726 0288349 0339491 0834667 076705 t-statics 12.48 33.20 9.69 11.95 27.88 26.64 Source: Tobit estimation results regressed from VHLSS 2012 4.3.1.3 Effected by geographic factors The estimation results point out that, controlling other variables constant, the percent ofeducationexpenditure over total expenditureofthe family whose lives inthe Red river delta, North central area and Central coastal area, South East is higher than the percent ofeducationexpenditure over total expenditureofthe family whose lives in Mekong river delta by about percent, percent and 1.4 percent, respectively In contrast, ceteris paribus, the percent ofeducationexpenditure over total expenditureofthe family whose lives inthe Northern midland and mountain areas, Central highlands is lower than the percent ofeducationexpenditure over total expenditureofthe family whose lives in Mekong river delta by 1.1 percent and 0.8 percent, respectively 50 | P a g e These results are in consists with our hypothesis stated in previous chapter Onthe other hand, it proves the difference ineducationexpenditure between regions relatively These differences may be in compliance with the social - natural condition between regions In fact, Northern midland and mountain areas, and Central highlands are the places where economic and natural condition have been in difficult The average per capita income is lower than the rest regions (see the Appendix 8) Therefore, education may not be considered as important as it should be Consequently, theeducationexpenditure ratio is less than other expenditure such as foods expenditure Besides, the marginal effecton urban is 0.0134 This means that after controlling for other variables, the percent ofeducationexpenditure over total expenditureofthe family whose lives in urban areas is 1.34 percent higher than those whose lives in rural areas This result is consistent with Glewwe and Patrinos (1999), Ersado (2005), and Park (2008) 4.3.2 Testing for regression 4.3.2.1 Testing the significant of coefficients simultaneously for regressions We use Wald test to measure the overall significance ofthe model The null hypothesis is that all the slope coefficients inthe regression are simultaneously equal to zero Ho: β1 = β =…= β 13 =0 H1: βi is different from zero Table 4-10: Wald test result on significance ofthe model Function Tobit function Null Hypothesis F test value Prob>F β1 = β =…= β 13 =0 169 0.000 51 | P a g e The result inthe Table 4-10 shows that F test value is 169 and p value is practically zero Therefore, we can strongly reject the hypothesis that collectively all the explanatory variables have no impact onthe dependent variable, educationexpenditure ratio At least one regressor has significant impact onthe regressand 4.3.2.2 Heteroscedasticity test We compare the robust standard errors from Robust estimation ofthe Tobit model with the standard errors ofthe tobit estimation to test the Heteroscedasticity Accordingly, the output inthe Table 4-12 shows that there are no vast differences in estimated standard errors between Tobit regression and Robust Estimation of Tobit Table 4-11: Tobit and Robust estimation of Tobit Coef Std Err Robust Std Err Gender -.0079593 0046 0048 Income 3.00e-06 8.79e-07 1.88e-06 R1 0311451 0057 0059 R2 -.0202405 0064 0055 R3 0174227 0053 0052 R4 -.0141657 0073 0069 R5 0233161 0069 0070 Urban 0221807 0042 0043 Ethnic 0284402 0056 0053 Numchild 0810726 0022 0024 002889 0004 0004 Job2 -.0306151 0070 0072 Job3 -.0487153 0072 0080 0013 0016 Hhedu /sigma 52 | P a g e CHAPTER CONCLUSION AND POLICY IMPLICATION This study aims to find out theeffectof household characteristics to educationexpenditureofthe children in Vietnam, both in urban and rural areas, which spread out six regions of Vietnam, including Red river delta (R1), Northern midland and mountain areas (R2), North central area and Central coastal area (R3), Central highlands (R4), South East (R5) and Mekong river delta (R6) First, the study measures how important ofeducation comparing to other goods is Accordingly, the study defines educationexpenditure as the ratio ofeducationexpenditure over total expenditureofthe family and then, using description statistics method, compares theexpenditure ratio ofeducation to the ratio of other goods expenditureof family, including ratio of health care expenditure and the ratio of foods spending Second, the study use Tobit model to estimate theeffectof households’ characteristics, including socio-economic, demographic and geographic factors oneducationexpenditure ratio 5.1 Conclusion remarks Based onthe findings ofthe study, there are three primary conclusions First, geographic factors are important indicator ineducationexpenditure Accordingly, it is demonstrated that urban –rural and regional differential is still observed with regard to educationexpenditure Particularly, the Red River Delta has the highest average expenditure ratio ofeducation and the Northern highland and mountainous region and Mekong River Delta has the lowest proportion compared to other regions Beside, inthe Red river Delta region, Northern highland and mountainous region, the Highland region and the Southeast region, the average expenditure ratio ofeducation is also higher than the average expenditureof health care and of foods However, inthe Northern highland and mountainous region and the Mekong River Delta region, the average expenditure ratio of foods is higher 53 | P a g e than the rests Furthermore, theeducationexpenditure ratio for high education is much higher than the ratio for primary and secondary level for all six regions Second, it is proved that educationexpenditure ratio is impacted by socio-economic status of family In particular, income and education level of household head effect positively oneducationexpenditure ratio Beside, different job of household head is also correlated with educationexpenditure ratio for children Similarly, there is the association between ethnic of family and educationexpenditure ratio for children Particularly, the ratio of families being the Kinh is higher than those being other ethnic Finally, educationexpenditure ratio is also associated with demographic factors In fact, the families whose household head being mother have higher educationexpenditure ratio than those whose household head being father In addition, the number of schooling children influence positively oneducationexpenditureofthe family Interestingly, we find out that in Vietnam, theeducationexpenditure ratio for the boys and the girls are relatively equal In other words, it indicates that there is not gender discrimination in schooling of boys and girls inVietnam 5.2 Policy implications The implications from observed findings ofthe study are suggested as follows: First, Vietnam is still facing with unequal between urban and rural areas, and between the regions in term ofeducationexpenditure This may lead to other outcome in future such as unequal income or unequal in living standard between rural and urban or between regions ofVietnam Thus, it is likely enhanced efforts ofthe policy makers to respond with the disadvantage Second, unfavorable situation in term of low proportion ofeducationexpenditure comparing to foods expenditurein Northern highland and mountainous regions and Mekong River Delta region indicates that the government should set priority policy 54 | P a g e and intervention to deal with this problem Onthe one hand, policy makers need to augment the living standard of these regions Onthe other hand, it is necessary to promote higher spending for educationof children comparing to other consumption Third, the correlation between better parent’ background and higher ineducationexpenditure ratio for children confirms the fact that higher socio-economic status of family is, more attention for educationof children will be paid Fourth, educationexpenditure for high education level is obviously become as the burden ofthe family This should be taken into account in national policy in order to set the financial support by the government Finally, the association between more numbers of schooling children and higher ineducationexpenditure ratio indicates that parents should maintain the small family size in order to improve their children achievement in term ofeducation Furthermore, it also suggests that the policy maker should be further emphasized in fertility reduction run 5.3 Limitation ofthe study and recommendation for future researches Although this study could provide some implications above, it still has several limitations Due to the lack of data in VHLSS 2012, which did not present expected rate of return to children education from the parents, the study did not input this variable inthe model as one ofthe indicators for educationexpenditureof parent for children Besides, there is the insignificant of household head gender variables due to the vast difference in number of observations of family whose household head being male and female Thus, any unresolved limitations are left for further research inthe future 55 | P a g e In conclusion, although this study still faces some limitations, it is expected to make significant contribution to the empirical study oneducationexpenditureinVietnamIn particular, it presents the whole context ofthe difference ineducationexpenditurein six regions ofVietnam as well as in urban and rural ofVietnam It also defines which and how household’s characteristicseffect to educationexpenditureinVietnam 56 | P a g e REFERENCES Becker, G S., & Woytinsky, W S (1967) Human capital and the personal distribution of income: An analytical approach (Vol 1) Ann Arbor, MI: Institute of Public Administration Becker, G S (1993) Human capital: A theoretical and empirical analysis, with special reference to education University of Chicago Press Behrman, J R., & Knowles, J C (1999) Household income and child schooling inVietnamThe World Bank Economic Review, 13(2), 211-256 Behrman, J R., & Rosenzweig, M R (2002) Does increasing women's schooling raise the schooling 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