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題名：家庭議題與小孩教育關係之三篇實證研究
作者：陳妍蒨 引用關係
作者(外文)：Yen-Chien Chen
校院名稱：國立臺灣大學
系所名稱：經濟學研究所
指導教授：劉錦添
學位類別：博士
出版日期：2009
主題關鍵詞：小孩教育；重男輕女；性別選擇墮胎；家庭內資源配置；手足之性別效果；手足總數效果；父母意外死亡；Children’s education；son preference；sex selection abortion；within-family resource allocation；sibling rivalry effect (sibling gender effect)；family size effect；parental unexpected death
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此論文包含三篇探討家庭議題對小孩上大學機率影響的實證文章：
第一章：The Impact of Sibling Sex Composition on Women''s Educational Achievements: A Unique Natural Experiment by Twins Gender Shocks
在重男輕女的經濟社會中，兄弟的存在可能會排擠掉父母親對女孩教育的投資，尤其是在父母親有時間或金錢上的限制的情況下。然而，除了資源上的競爭，兄弟也可能會帶給女孩正面外部的效益。我們以兩套全國性的資料，出生檔與大學聯考檔，將兩個檔案進行合併，並選取第一胎為雙胞胎作為分析樣本，探討龍鳳胎（女-男雙胞胎）中女孩的教育程度是否因為雙胞胎弟弟（或哥哥）的存在而有所減少（與女-女雙胞胎來的女孩們相比較）。為了避免墮胎的行為會影響父母親選擇小孩的性別，我們將分析樣本限定在出生於1985年台灣優生保健法實施前，亦即墮胎合法化之前的雙胞胎。實證結果發現，雙胞胎兄弟的存在並不會影響雙胞胎女孩上大學的機率。這個結果也顯示兄弟的存在可能對女孩的教育有正面的外部效益。本文為第一篇以雙胞胎樣本估計手足性別對小孩教育程度影響之文章，且因本文所用的雙胞胎樣本為全國性母體資料，估計出來的結果將更為精確。
第二章：Separate Effects of Sibling Gender and Family Size on Educational Achievements – Method and First Evidence from Population Birth Registry
由於小孩性別及小孩數目同為影響父母親分配給每個小孩資源時的重要因素，所以文獻在探討家中兄弟姊妹性別對小孩教育的影響時，通常也會考慮家中小孩數目變數。然而，同時考慮這兩個變數所估計出來的結果，將會使性別的係數無法正確地衡量其對小孩教育的影響。原因是來自於，父母親決定生育的小孩數目時深受家中（較年長）小孩性別的影響。因此同時衡量這兩項變數對小孩教育的影響，將會使估計出來的性別效果包含：「直接」效果，以及「間接」效果。其中，間接效果是指性別對小孩教育的影響是間接透過對小孩數目的影響而得到，這個效果幾乎被所有的文獻忽略。本篇指出在這種情況之下，即使小孩數目沒有內生性的問題，也必須用一個工具變數來估計。此外，已有另一支文獻主張小孩數目有內生性問題，因此工具變數方法也是探討小孩數目與小孩教育之間因果關係的重要方法。綜而言之，以工具變數估計家中小孩數目的方法，不僅可以探討小孩數目與小孩教育之間的因果關係，也可以去除掉間接性別效果的問題。本文為第一篇以工具變數方法同時估計出有意義的性別效果與小孩數目效果之文章。我們以全國性的出生檔以及大學聯考檔，得到數量龐大的小孩樣本。並選取墮胎合法化（1985年）之前的第一胎單胞胎作為分析樣本，檢視第二胎小孩的性別以及家中小孩數目對其上大學機率的影響。文中所使用的小孩數目之工具變數是第二胎是否為雙胞胎的虛擬變數。我們實證結果發現，除了資料中最年長（1978年出生）的女性樣本之外，兄弟姊妹的性別以及小孩的數目對小孩上大學的機率無統計上顯著的影響。
第三章：The Impact of Unexpected Maternal Death on Education -- First Evidence from Three National Administrative Data Links
對一個學齡中的小孩而言，父母死亡無疑地是他（她）所能面對最傷痛的事情，且會對其未來身心發展造成長遠的影響。然而，由於資料的限制，以及死亡與一些無法觀察到的特性息息相關（例如父母死亡之前小孩就可感受到莫大的精神壓力），實證上難以探討失去父母及小孩教育表現這兩者之間的因果關係。本篇論文採用的資料是結合台灣全國性的出生檔、死亡檔以及大學聯考記錄檔，這三項全國性的資料可克服之前文獻所面臨的問題。我們以父母親的「意外死亡」來作為死亡的分析基準，並選取家庭中兄弟或姊妹樣本，以家庭的Fixed-effects模型來分析失去父母親對小孩上大學機率的影響。這個估計方法可以解決父母親死亡的內生性問題，因為在父母意外死亡之前並不會如同病死前一般對小孩有精神及壓力的影響；且Fixed-effects模型可以控制迴歸式中大部分無法觀察到的家庭因素。我們實證的結果發現失去母親對小孩上大學的機率有明顯負面的影響，但失去父親則在統計上並沒有無顯著的影響。這個實證結果與Behrman (1999)的發現大致相同。
This thesis includes three empirical studies on the effects of family issues on children’s college enrollment:
Chapter1: The Impact of Sibling Sex Composition on Women''s Educational Achievements: A Unique Natural Experiment by Twins Gender Shocks
In a pro-male biased society, brothers may reduce the parental attention and investment received by female siblings, when parents face time or financial constraints. But brothers may also cause positive externalities. This paper tests whether women have fewer opportunities to attend college if they have a brother rather than a sister. We use matched administrative population data from a highly sex-imbalanced economy, Taiwan, and select twins at first birth as analysis subjects. To ensure our estimates are not confounded by sex- selective abortions, we exploit the fact that twin sex is purely random, given the sex of the other twin, once we limit the data to time periods in which abortion was illegal and technology was unavailable to abort one of the two twins. The estimates show that the birth of a male twin sibling, relative to a female, has almost no impact on women’s or men''s college enrollments. If there is any effect, it only arises among females born in rural areas, or those born to mothers whose educational levels were a high school diploma or beyond, and even then it is small and statistically insignificant. This is the first paper which investigates the sibling gender effect by twinning shock. The estimates are precise because of the large number of observations in the population data. These results point to the importance of accounting for positive externalities created by a son''s birth, in studies on sibling rivalry.
Chapter2: Separate Effects of Sibling Gender and Family Size on Educational Achievements – Method and First Evidence from Population Birth Registry
Because family size is endogenous and causally depends on the sex composition of early-born children, controlling for family size causes the estimated (total) sibling gender effect to include the direct effect, and the indirect effect mediated through family size. Therefore, previous evidence on sibling gender effect has not been well-identified. We show that separating the direct effect of sibling sex composition from the effects of family size requires an instrumental variable for family size, even if child gender and family size are both exogenous. By using a unique administrative data from Taiwan, we demonstrate how Instrumental- Variable Methods provide a way to resolve the problems of endogeneity and causal dependence of an important covariate (family size) on treatment status (the sex of the subject''s subsequent sibling). For the purpose of this study, we construct a panel data of families using Birth Registry of the entire Taiwan and match it with College Entrance Tests records to obtain children''s college attainment. This unique data provides accurate measures of educational outcomes, complete family size, and sibling sex composition. We minimize the incident of sex-selective abortion by focusing our analysis on cohorts who were born prior to abortion legalization and prior to widespread of technology for prenatal sex determination. We use the occurrence of twining at the second birth to instrument for family size, after controlling for birth weight residues. Our estimates show that neither sibling gender nor family size matter, except for firstborn girls who were born in the earliest year in our data, 1978, and the effects are small. After 1978, both effects are nearly zero.
Chapter 3: The Impact of Unexpected Maternal Death on Education -- First Evidence from Three National Administrative Data Links
The death of parents is one of the most traumatic events for school-aged children. It can have a long- lasting effect on a child''s cognitive ability and socio-emotional development. However, because of data limitations and unobserved parental factors, including unobserved pre- existing health conditions prior to the actual death, the there is little existing evidence of any causal link between parental deaths and children''s educational outcomes is little. Based on an unique data set, which is constructed by linking three national administrative datasets -- the Birth Registry, Death Registry and College Entrance Tests’ records from Taiwan--, we can exploit unexpected parental deaths in a family fixed-effects model in order to compare the difference in education between siblings who lost parents unexpectedly before versus after the age of 18. Our empirical strategies can remove the most of the problems caused by unobserved characteristics. We find that losing a mother has a strong impact on a child''s possibility of entering college, while losing a father has no significant impact. Consistent with the suggestion in Behrman (1999), our evidence implies that a mother''s role of in child rearing a child has a stronger impact on a child''s outcome, than a father''s role as bread winner.
Ainsworth, Martha, Kathleen Beegle and Godlike Koda. 2005. “The Impact of Adult
Mortality and Parental Deaths on Primary Schooling in North-Western Tanzania,”
Journal of Development Studies, 41(3):412-439.

Almond, Douglas, Kenneth Y. Chay and David S. Lee. 2005 “The Cost of Low Birth Weight.” The Quarterly Journal of Economics, 121: 1031-1083.

Ahmad, Asif, and Jonathan Morduch. 2002. “Identifying Sex Bias in the Allocation of Household Resources: Evidence from Linked Household Surveys from Bangladesh.” Unpublished manuscript, Department of Economics, New York University.

Ananat, Elizabeth O. and Michaels, Guy. forthcoming “The Effect of Marital Breakup on the income and Poverty of Children?” Journal of Human Resources..

Angrist, J. D., Imbens, G. W., and Rubin, D. B. (1996), “Identication of Causal Effects Using Instrumental Variables,” Journal of the American Statistical Association, 91:444-472.

Angrist, Joshua D., William N. Evans. 1998. “Children and Their Parents'' Labor Supply: Evidence from Exogenous Variation in Family Size.” American Economic Review 88(3): 450-477.

Angrist, Joshua D., Victor Lavy, and Analia Schlosser. 2006.”New Evidence on the Causal Link between the Quantity and Quality of Children,” MIT Department of Economics Working Paper.

Angrist Joshua D., and Jorn-Steffen Pischke. 2008. “Mostly Harmless Econometrics: An Empiricist’s Companion.” Princeton University Press.

Ashenfelter, Orley and Alan Krueger. 1994. “Estimates of the Economic Return to Schooling from a New Sample of Twins.” American Economic Review 84(5):
1157-1173.

Backer, Gary S., 1960. “An Economic Analysis of Fertility.” Demographic and Economic Change in Developed Countries, Princeton, NJ: Princeton University Press.

Becker, Gary and H. G. Lewis, 1973. “On the interaction between the Quantity and Quality of Children”. Journal of Political Economy, 81(2), part (2): s279-
288.

Behrman Jere R., Robert Pollak and Paul Taubman. 1982. “Parental Preferences and Provision for Progeny” Journal of Political Economy ,90(1):52-73.

Behrman Jere R., and Paul Taubman. 1986. “Birth Order, Schooling, and Earnings”. Journal of Labor Economics 4:S121-S145.

Behrman, Jere R. 1999. “Labor markets in developing countries” Chapter 43 in Handbook of Labor Economics, vol(3): 2859-2939

Behrman, J.R. and M.R. Rosenzweig (2004) “Returns to Birthweight.” Review of Economics and Statistics 86(2): 586-601.

Ben-Porath , Yoram and Finis Welch. 1972. Chance, Child Traits and Choice of Family Size, The Rand Corporation, R-1117.

Ben-Porath , Yoram and Finis Welch. 1976. “Do Sex Preferences Really Matter?” The Quarterly Journal of Economics 90(2): 285-307.

Bhalotra, Sonia, and Chris Att‾eld. 1998. “Intrahousehold Resource Allocation in Rural Pakistan: A Semiparametric Analysis.” Journal of Applied Econometrics 13(5): 463-80.

Black, Sandra E., Paul J. Devereux, and Kjell G. Salvanes. 2005. “The More the Merrier? The Effect of Family Size and Birth Order on Children''s Education,” Quarterly Journal of Economics 120(2):669-700.

Blake, Judith. 1981 “Family Size and the Quality of children”. Demography , 18:421-42.

Boklage C.E. 1987. “Race, Zygosity and mortality among twins: interaction of myth and method,” Acta Genet Med Gemellol, 36a: 257-288.

Buekens P. and A. Wilcox 1993. “Why do small twins have a lower mortality rate than small singletons?” American Journal of Obstetrics and Gynecology 168:937.

Butcher, F. Kristin and Anne Case. 1994. “The Effect of Sibling Sex Composition on Women''s Education and Earnings.” Quarterly Journal of Economics, 109(3): 531-563.

Caceres, Julio. 2004. “Impact of Family Size on Investment in Child Quality: Multiple Births as Natural Experiment.” mimeo, Department of Economics, University of Maryland.

Cameron, Stephen and James J. Heckman. 1998. “Life-Cycle Schooling and Educational Selectivity: Models and Choices.” Journal of Political Economy,
106(2):206-333.

Cameron, Stephen and Christopher Taber. 2004. “Estimation of Educational Borrowing Constraint Using Returns to Schooling.” Journal of Political Economy, 112(1): 132-183.

Cameron, Stephen, and Christopher Taber. 2004. “Estimation of Educational Borrowing Constraints Using Returns to Schooling,” Journal of Political Economy, 112 (1):132-182.

Case, Anne, and Angus Deaton. 2003. “Consumption, Health, Gender, and Poverty.” Working Paper no. 3020, World Bank Poverty Reduction and Economic Management Network, Washington, DC.

Case, Anne, Christina Paxson and Joseph Ableidinger. 2004. “Orphans in Africa:
Parental Death, Poverty, and School Enrollment.” Demography, 41:483-508.

Case, Anne and Cally Ardington. 2006. “The Impact of Parental Death on School Outcomes: Longitudinal Evidenve From South Africa,” Demography, 43(3):401-420.

Chen L., Huq E., and D''Souza S. 1981. “Sex bias in the family allocation of food and health care in rural Bangladesh,” Population and Development Review 7:55-70.

Chen, H. Stacey, Yenchien Chen, and Jin-tan Liu. 2008. “The Impact of Sibling Sex Composition on Women’s educational Achievements: A Unique Natural Experiment by Twins Gender Shocks,” mimeo, SUNY-Albany, Department of
Economics.

Chen, Stacey H., Yen-chien Chen, and Jin-tan Liu. 2008. “Separate Effects of Sibling gender and Family size on Educational Achievements - Methods and First
Evidence from Population Birth Registry ?” mimeo.

Chitkara, Usha and Richard L. Berkowitz. (2002) Obstetrics: Normal and Problem Pregnancies, ed. by Steven G. Gabbe, Jennifer R. Niebyl, and Joe Leigh Simpson. p. 827.

Coale, Ansley J. 1991.“Excess Female Mortality and the Balance of Sexes in the Population: An Estimate of the Number of ’Missing Female’. ” Population and Development Review, 17(3): 517-523.

Conley, D. and N. Bennett. (2000) “Is Biology Destiny? Birth Weight and Life Chances,” American Sociological Review 65:458-67.

Conley, Dalton. 2004. “ What is the ’True’ Effect of Sibship Size and Birth Order on Education? Instrumental Variable Estimates from Exogenous Variation in Fertility.” New York University, Working Paper.

Conley, Dalton and Rebecca Glauber, 2006, “Parental Educational Investment and Children’s Academic Risk: Estimates of the Impact of Sibship Size and Birth Order from Exogenous Variation in Fertility.” Journal of Human Resources,41(4): 722-37.

Corak, Miles. 2001. “Death and Divorce: The Long-Term Consequences of Parental
Loss on Adolescents,” Journal of Labor Economics, 19(3):682-715.

Cunningham, F. Gary, John C. Hauth, Kenneth J. Leveno, Larry Gilstrap III, Steven L. Bloom, and Katharine D. Wenstrom. 2005. Williams Obstetrics, New York: McGRAW-Hill.

Currie, J. and R. Hyson. (1999) “Is the Impact of Health Shocks Cushioned by Socioeconomic Status? The Case of Low Birth Weight.” American Economic Review 89:245-50.

Dahl, Gordon and Enrico Moretti. 2008. “The Demand for Sons: Evidence from Divorce, Fertility and Shotgun Marriage.” Review of Economics and Statistics.

Das Gupta M. 2005. “Explaining Asia''s Missing women: A new look at the data.” Population and Development Review 31(3): 529.

Das Gupta M. 2006. “Cultural versus Biological Factors in Explaining Asia''s `Missing Women'': Response to Oster.” Population and Development Review 32(2): 328-332.

Das Gupta M. 1987. “Selective Discrimination against Female Children in Rural Punjab, India.” Population and Development Review 13(1): 77-100.

David, Daniel J. 1977. “Birth Order and Intellectual Development: The Confluence Model in the Light of Cross-cultural Evidence.” Science, 196: 1470-1472.

Deaton, Angus. 1989. “Looking for Boy-Girl Discrimination in Household Expenditure Data.” World Bank Economic Review 3(1): 1-15.

Deaton, Angus. 1997. The Analysis of Household Surveys: A Microeconometric Approach to Development Policy. Washington, DC: Johns Hopkins University Press for the World Bank.

Deolalikar, Anil and Elaina Rose. 1998. “Gender and Savings in Rural India,” Journal of Population Economics, 11(4): 453-70.

Derom, C., R. Vlietinck, R. Derom, H. van den Berghe, and M. Thiery. 1988. “Population-based Study of Sex Proportion in Monoamniotic Twins.” New England Journal of Medicine, 319: 119-120.

Dufflo, Esther. (1998) “Evaluating the Effect of Birth-spacing on Child Mortality,” unpublished.

Dynarski, Susan. 2003. “Does Aid Matter? Measuring the Effect of Student Aid on
College Attendance and Completion,” American Economic Reviews, 279-288.

Edlund, Lena. 1999. “Son preference, sex ratios, and marriage patterns,” Journal of Political Economy 107(6): 1275-1304.

Ebenstein, Avraham Y. 2007. “Fertility Choices and Sex Selection in Asia: Analysis and Policy,”unpublished.

El-Badry, M. A. 1969. “Higher Female than Male Mortality in Some Countries of South Asia,”Journal of the American Statistical Association, 64: 1234-44.

Featherman, David L. and Robert M. Hauster .1978. “Opportunity and Change.” New York: Academic Press James

Garg, Ashish and Jonathan Morduch. 1998. “Sibling Rivalry and the Gender Gap: Evidence from Child Health Outcomes in Ghana.” Journal of Population Economics, 11: 471-493.

Gertler, Paul, David I. Levine, and Minnie Ames. 2004. “Schooling And Parental
Death,” Review of Economics and Statistics, 86(1):211-225.

Goodkind, Daniel. 1996. “On Substituting Sex Preference Strategies in East Asia: Does Prenatal Sex Selection Reduce Postnatal Discrimination?” Population and
Development Review 22(1):111-125.

Goldberger, A. S. and L. J. Kamin. 1998. “Behavior Genetic Modeling of Twins: A Deconstruction,” Department of EconomicsWorking Paper, University of Wisconsin Madison.

Hanushek, Eric.1992. “The Trade-off between Child Quantity and Quality.” The Journal of Political Economy, 100(1):87-117.

Hammoud, E.I., 1977. “Sex Differentials in Mortality,” World Health Statistics Report, 3(30): 174-206.

Hauser, R.M. and Hisang-Hui Daphne Kuo. 1998. “Does the Gender Composition of Sibships Affect Women''s Educational Attainment?” Journal of Human Resources.

Heckman, James J., Lance Lochner and Christopher Taber. 1998. “ General- Equilibrium Treatment Effects: A Study of Tuition Policy. ” The American Economic Review, 88(2): 381-386.

Hudson, Valerie M. and Andrea M. den Boer. 2005. “Bare Branches”.MIT Press.

Imbens, G. W., and Angrist, J. D. (1994), “Identication and Estimation of Local Average Treatment Effects,” Econometrica, 62:467-476.

James, Williams M. 1980. “Sex Ratios and Placentation in Twins.” Annals of Human Biology 7: 273-276.

James, William H. 1985.“The Sex Ratio of Oriental Births.” Annals of Human Biology, 12(5):485-487.

Johansson, S and O. Nygren. 1991. “The Missing Girls of China– A New Demographic Account .” Population and Development Review, 17:35-51.

Kaestner, Robert. 1997. “Are Brothers Really Better? Sibling Sex Composition and Educational Achievement Revisited”. Journal of Human Resources, 32(2):250-284.

Kingdon, Geeta Gandhi. 2005. “Where Has All the Bias Gone? Detecting Gender Bias in the Intrahousehold Allocation of Educational Expenditure.” Economic Development and Cultural Change 53(2):409-451.

Koolwal, Gayatri B. 2007. “Son Preference and Child Labor in Nepal: The Household Impact of Sending Girls to Work.” World Development, 35( 5): 881-903.

Lang, Kevin and Jay L. Zagorsky. 2001. “Does Growing up with a Parent Absent Really Hurt,” Journal of Human Resources, 36(2):253-273.

Lee,Jungmin, 2003. “Children and Household Education Decisions: An Asia Instrument.” Working paper.

Lee, Jungmin.2004. “Sibling Size and Investment in Children''s Education: An Asian Instru-ment,” unpublished.

Lillard L, Willis R. 1994. “Intergenerational Educational Mobility Effects of Family and State in Malaysia.” Journal of Human Resources 29 (4):1126-1166.

Lin, Ming-Jen, Jin-Tan Liu and Shin-Yi Chou. 2007. “As Low Birth Weight Babies Grow, Can Well-educated Parents Buffer this Adverse Factor? A Research Note.” Demograghy, 44(2): 335-343.

Lin, Ming-Jen, Jin-Tan Liu and Nancy Qian. 2007. “MoreWomen Missing, Fewer Girls Dying: The Impact of Abortion on Sex Ratios at Birth and Excess Female Mortality in Taiwan , ” working paper 14541 and CEPR Policy Discussion Paper 6667.

Lin, Ming-Jen and Ming-Ching Luoh. 2008. “Can Hepatitis B Mothers Account for the Number of Missing Women? Evidence from Three Million Newborns in Taiwan,” American Economic Review, 98(5), pp 2259-2273.

Lundberg, Shelly J. and Elaina Rose. 2002. “The Effect of Sons and Daughters on Men''s Labor Supply and Wages.” Review of Economics and Statistics, 84: 251-268.

Lundberg, Shelly J. and Elaina Rose. 2003. “Child Gender and the Transition to Marriage,” Demography, 40(2): 333-349.

Lundberg, S. J. 2005. “Sons, daughters, and parental behavior.” Oxford Review of Economic Policy 21(3): 340-356.

Lundberg, Shelly J., Sara McLanahan, and Elaina Rose. 2007. “Child Gender and Father Involvement in Fragile Families,” Demography 44(1): 79-92.

Machin, Geoffrey A. 1996. “Some Causes of Genotypic and Phenotypic Discordance in Monozygotic Twin Pairs.” American Journal of Medical Genetics 61: 216-228.

Mittler, P. 1971. The Study of Twins. Harmondsworth, England: Penguin Books.

Morduch, Jonathan. 2000. “Sibling Rivalry in Africa.” American Economic Review
90(2): 405-409.

Oster, Emily. 2005. “Hepatitis B and the Case of the Missing Women,” Quarterly Journal of Economics 113(6):1163-1216.

Oster, Emily. 2006. “On Explaining Asia''s `Missing Women'': Comment on Das Gupta,” Population and Development Review 32(2):323-327.

Parish, William and Robert Willis. 1993. “Daughters, Education and Family Budgets: Taiwan Experiences.” Journal of Human Resources, 28(4): 863-898.

Pettersson-Lidbom, Per and Peter Skogman Thoursie. (2007) “Does Child Spacing Affect Children''s Outcomes? Evidence from a Swedish Reform,” unpublished.

Plomin, R., J. C. DeFries, and G. E. McClearn. 1990. Behavioral Genetics a Primer, W. H. Freeman and Company, New York.

Powell, B, Steelman L.C. 1989. “The Liability of Having Brothers: Paying for College and the Sex Composition of the Family.” Sociology of Education 62:137-147.

Powell, Brian and Lala C. Steelman 1993. “The Educational Benefits of Being Spaced Out: Sibship Density and Educational Progress.” American Sociological Review 58(3): 367-381.

Muhuri P., Preston S. 1991. “Effects of Family Composition on Mortality Differences
by Sex among Children in Matlab, Bangladesh.”Population and Development Re-view 17(3):415 434.

Qian, Nancy. 2008. “Quantity-Quality: The Positive Effect of Family Size on School Enrollment in China”. Department of Economics, Brown University.

Qian, Nancy. 2008. “Missing Women and the Price of Tea in China: The Effect of Sex-Specific Income on Sex Imbalance," forthcoming in the Quarterly Journal of Economics 123(3).

Pabilonia, S.W. and J. Ward-Batts. 2007. “The Effect of Child Gender on Parents’ Labor Supply: An Examination of Natives, Immigrants, and their Children.” American Economic Association Papers and Proceedings, 97(2), 402-406.

Pearl, Judea. 2005. “Direct and Indirect Effects,” Proceedings of the American Statistical Association, Technical Report R-273, 1572-1581.

Ram Gupta, San T. 1975. “Mortality Patterns in India,” in R. B. Chari, ed., Demo-
graphic Trends in India, New Delhi: D.P. Sharma and R.K. Bhatia, 43-52.

Robins, James M. and Sander Greenland.1992.“Identifiability and Exchangeability for Direct and Indirect Effects,” Epidemiology, 3(2):143-155.

Rose, Elaina. 2000. “Gender Bias, Credit Constraints and Time Allocation in Rural
India,” Economic Journal 110(465): 738-58.

Rosenzweig, Mark R. and Kenneth I.Wolpin. 1980 “Testing the Quantity-Quality Fertility Model: The Use of Twins as a Natural Experiment.” Econometrica, 48(1): 227-240.

Rosenzweig, Mark R. and T. Paul Schultz. 1982. “Market Opportunities, Genetic Endowments, and Intrafamily Resource Distribution: Child Survival in Rural India,” American Economic Review 72(4):803-815.

Rosenzweig Mark R. and Junsen Zhang. 2006. “Do Population Control Policies Induce More Human Capital Investment? Twins, Birthweight, and China’s ‘One-Child’ Policy.” Yale Working paper.

Ruhm, Christopher J. “Parental Employment and Child Cognitive Development,” Journal of Human Resources 39(1): 155-192.

Sen, Amartya. 1990. “More Than 100 Million Women Are Missing.” New York Times, December 20, 37(20).

Sen, Amartya. 1992. “Missing women: social inequality outweighs women''s survival advantage in Asia and north Africa,” British Medical Journal 304(6827):587-9.

Subramanian, Shankar, and Angus Deaton. 1990. “Gender Effects in Indian Consumption Patterns.” Discussion Paper no. 147, Research Program in Development Studies, Woodrow Wilson School, Princeton University.

Subramanian, Shankar. 1995. “Gender Discrimination in Intra-Household Allocation in India.” Unpublished manuscript, Department of Economics, Cornell University.
 
 
 
 
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