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Record identifier : 567151
Personal Name - Primary Intelectual Responsibility : Sipahimalani, Vandana
Title and statement of responsibility : Education in rural India: An empirical analysis of household decisions [Thesis]
Publication, Distribution,Etc. : Yale University, 1999
Language of the Item : eng
Dissertation of thesis details and type of degree : Ph.D.
Body granting the degree : , Yale University
Summary or Abstract : This dissertation is an empirical analysis of the determinants of schooling decisions in rural India. Schooling attainment continues to be very low in India and wide gender disparities are observed. In addition, while public schooling is officially provided free, households spend a considerable amount on the schooling of those children who are enrolled. Further, enrollment in private schools has been increasing. I use household survey data (1993-94) collected by NCAER, New Delhi, to econometrically model the household decision making process to understand the reasons for low educational attainment, particularly the gender gap, in rural India. First, I model educational attainment for each child using alternative indicators. The first dependent variable is whether the child has ever been enrolled in school. A probit model is estimated. The second dependent variable is the level of schooling completed. An ordered probit model is estimated. Several econometric problems such as right censoring that earlier studies do not correct for are dealt with. The focus is on characteristics of schools, which have received scant attention in earlier studies. My results indicate that there are several school related variables that are significant determinants of schooling. In Chapter 2, a multinomial logit model is used to estimate the choice between three types of schools: government (public), private unaided, and private aided. I also analyze private household expenditure on education. The probability of enrollment equation and the schooling expenditure equations are estimated jointly using a generalized tobit model. Finally, in Chapter 3, I use the model in Chapter 1 to study how the impact of school related factors oil educational decisions varies regionally. The country is divided into two regions depending on the rate of agricultural technical change. The probit model (for schooling enrollment) and the censored ordered probit model (for schooling attainment) are estimated. The results indicate that school characteristics have a greater impact in the low technical change region when compared with the high technical change region..
Topical Name Used as Subject : Economics, Educational sociology
Information of biblio record : TL
 
 
 
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