Tasks and Opportunities within Indian Families Sripad Motiram IGIDR, Mumbai Lars Osberg Department of Economics, Dalhousie University, Halifax Conference.

Slides:



Advertisements
Similar presentations
Collecting data on Care-giving and Unpaid work Heather Dryburgh Statistics Canada.
Advertisements

LABOUR FORCE SURVEY The aim is to show that only an integrated approach to these data makes the contribution of Italian women to the economy more visible.
The Economic Consequences of the Transition into Parenthood Wendy Sigle-Rushton Paper presented at the GeNet Seminar: Low Fertility in Industrialised Countries.
1 CHILDREN AS CONSUMERS: INVESTIGATING CHILD DIARY EXPENDITURE DATA Lisa Farrell* and Michael A. Shields *School of Economics, University College Dublin,
Demographics and Market Segmentation: China and India
1 Time Use Survey in India Presented by: Pratima Gupta Assistant Director CBHI, Dte. GHS, MoHFW.
Gender and MDGs in the Arab Region Lotta Persson Statistician Population and Welfare Statistics Statistics Sweden.
Intergenerational Transfers in Form of Unpaid Work in Slovenia Jože Sambt University of Ljubljana, Faculty of Economics, Slovenia Institute of Mathematical.
Value and devalue of women’s Work in China and India ----Unanswered Three Questions Feng Yuan
Social Welfare gains from Community Forests In Orissa, India By, Jon Barnes.
Asthma Prevalence in the United States
The housework and homework of 10 year olds Jennifer Baxter 12 th Australian Institute of Family Studies Conference Melbourne, July 2012.
Kidane Asmerom and Teh wei-Hu
Income and the Happiness of Canadian 12 to 15 Year Olds P. Burton and S. Phipps Dalhousie University.
Integrating a Gender Perspective into Time Use Statistics.
Combining the strengths of UMIST and The Victoria University of Manchester An analysis of the relationship between time spent on active leisure and educational.
Copyright © 2009 Pearson Addison-Wesley. All rights reserved. Chapter 8 Human Capital: Education and Health in Economic Development.
Human Capital: Education and Health in Economic Development
Household Production and the Distribution of Income in the United States Cathleen D. Zick, University of Utah, W. Keith Bryant, Cornell University Sivithee.
Methodology for a school- leavers’ survey Irena Kogan MZES, University of Mannheim.
School meals and child outcomes in India Farzana Afridi, Delhi School of Economics IGC-ISI Conference, 20 th – 21 st December, 2010.
AME Education Sector Profile
2000/2001 Household Budget Survey (HBS) Conducted by The National Bureau of Statistics.
The new HBS Chisinau, 26 October Outline 1.How the HBS changed 2.Assessment of data quality 3.Data comparability 4.Conclusions.
Measuring population development from social cohesion perspective by women and men according to the Census data Urve Kask Statistics Estonia.
Economics of Gender Chapter 5 Assist.Prof.Dr.Meltem INCE YENILMEZ.
Haripriya Gundimeda Associate Professor Department of Humanities and Social Sciences Indian Institute of Technology Bombay Human capital estimates for.
The Effect of Education on Gender Roles in Hmong Daily Life in China See Yang  Kelly Wonder and Ezra Zeitler  University of Wisconsin Eau Claire Project.
4th Russia-India-China Conference, New Dehli, November Entry to and Exit from Poverty in Russia: Evidence from Longitudinal Data Irina Denisova New.
School Dropout in Rural Vietnam: Does Gender Matter?
The Effect of Elderly Household Members on School Enrollment of Children in Tibet Barbara A. Anderson*, Cheong-Seok Kim**, John H. Romani*, John Traphagan***
Social Capital and Early Childhood Development Evidence from Rural India Wendy Janssens Washington, 20 May 2004.
Measuring Equality of Opportunity in Latin America: a new agenda Washington DC January, 2009 Jaime Saavedra Poverty Reduction and Gender Group Latin America.
NUFE 1 General Education, Vocational Education and Individual Income in Rural China HUANG Bin Center for Public Finance Research Faculty of Public Finance.
Centre for Market and Public Organisation Using difference-in-difference methods to evaluate the effect of policy reform on fertility: The Working Families.
Innovations in Assessing Reproductive Health Access and Utilisation in non-camp Refugees in Low to Middle Income Countries Experience from Jordan and Lebanon.
Integrating a gender perspective into poverty statistics Workshop on Integrating a Gender Perspective into National Statistics, Kampala, Uganda December.
1 STATISTICAL OFFICE OF THE REPUBLIC OF SERBIA Time use survey in Serbia.
1 STATISTICAL OFFICE OF THE REPUBLIC OF SERBIA Time Use Survey in Serbia Workshop on gender statistics.
DR.SHRIRAM V GOSAVI HEALTH SURVEY BY NATIONAL COUNCIL OF APPLIED ECONOMIC RESEARCH.
LABOUR FORCE PARTICIPATION, EARNINGS AND INEQUALITY IN NIGERIA
HAOMING LIU JINLI ZENG KENAN ERTUNC GENETIC ABILITY AND INTERGENERATIONAL EARNINGS MOBILITY 1.
Pilot National Travel Survey 2009 Summary Findings Prepared by Mairead Griffin.
Global Forum on Gender Statistics, Manila, Philippines, October, 2010 中华人民共和国国家统计局中华人民共和国国家统计局中华人民共和国国家统计局中华人民共和国国家统计局 NATIONAL BUREAU OF STATISTICS.
Kelly McCrudden Jessica Crawford George Findlay Pamela Ho Schirle, T Journal of Labor Economics, Vol. 26, No. 4 (October 2008), pp
Labour Supply and Inequality Trends in the U.S.A. & elsewhere Lars Osberg Department of Economics Dalhousie University
Land, Assets and Livelihoods Gendered Analysis of Evidence from Odisha Vivien Savath, Diana Fletschner, Amber Peterman, Florence Santos March 25,2014.
Nobody to Play With - Labour Supply and Inequality Trends in the U.S.A. and elsewhere Lars Osberg Department of Economics Dalhousie University
Time transfers within households along the lifecycle: a NTA and gender perspective Anne Solaz (Ined) Elena Stancanelli (Paris 1)
HOUSEHOLD BUDGET SURVEY EVALUATION. PROJECT OVERVIEW PRECURSORS State Program on Poverty Reduction & Sustainable Development ( ) CSOs given the.
Reproducing Inequality: Family Background and Schooling in Peru Santiago Cueto, Alejandra Miranda, Juan León, and María Cristina Vásquez GRADE - Young.
Women’s Roles in Non-Economic Activities
Tasks and Opportunities Within Indian Families Sripad Motiram Lars Osberg Department of Economics, Dalhousie University, Halifax Canadian Economics Association.
Impact of Secondary Schooling on Malnutrition and Fertility Syed Rashed Al Zayed, Yaniv Stopnitzky, Qaiser Khan.
WOMEN’S PROPERTY, MOBILITY AND DECISION-MAKING: EVIDENCE FROM RURAL KARNATAKA, INDIA Hema Swaminathan, Rahul Lahoti, Suchitra J. Y. Centre for Public Policy.
Time, Money and Inequality in International Perspective Lars Osberg -Dalhousie University -I.S.E.R. U of Essex.
India: Access to Schooling in Ambakach Project Gender Analysis Alexandra Anda November 7 th 2006.
Effects of social origin on educational decisions and the transitions from education to first job Lachezar Nyagolov :Institute for the Study of Societies.
Gender Aspects of Life Course in Serbia seen through MICS data – some of the roots of gender inequalities on the labour market Marija Babovic University.
Time Use Statistics Margarita F Guerrero UNESCAP Regional Adviser on Statistics Inter-regional Workshop on the Production of Gender Statistics 6-10 August.
Modern Labour Economics Chapter 7 Labour Supply: Household Production, the Family, and the Life Cycle.
Remittances and Human Capital Investment: Evidence from Albania Ermira Hoxha Kalaj December 2010.
Social Studies Elective area The Home Economics Dept
UNICEF IN INDIA NEW CHALLENGES AND CHANGING ROLE Dr. S.K. CHATURVEDI UNICEF.
Comments on: ”Educating Children of Immigrants: Closing the Gap in Norwegian Schools” The Nordic Economic Policy Review Conference 2011 Lena Nekby Department.
Determinants of women’s labor force participation and economic empowerment in Albania Juna Miluka University of New York Tirana September, 14, 2015.
Gender into NDS/PRSP. Gender profile  19,7% of households are headed by a women (in ,6%)  MICS 2005: Net attendance ratio, secondary school:
Women, Work, and the Economy: Macroeconomic Gains from Gender Equity The views expressed in this presentation are those of the authors and should not be.
Kehinde Oluseyi Olagunju Szent Istvan University, Godollo, Hungary. “African Globalities – Global Africans” 4 th Pecs African Studies Conference, University.
Do Remittances Improve Food Consumption of Migrant’s Household? Evidence from Nigeria Babatunde Raphael Olanrewaju Department of Agricultural Economics.
Presentation transcript:

Tasks and Opportunities within Indian Families Sripad Motiram IGIDR, Mumbai Lars Osberg Department of Economics, Dalhousie University, Halifax Conference on Time Use, Poverty and Public Policy, American University, Mar 9-10, 2009

Economics & the allocation of scarce resources – should we study time or money?  Income & expenditure data Uninformative for those with little or no money e.g. children, many women, poor  Time Use data Every one has 24 hours Time focus especially useful in developing countries  Development implies transition to marketed output  Extreme poverty & gender disadvantage prevalent  Illustrate using Indian data Gender inequality in adult and child tasks School Attendance vs. School Enrollment Time invested in education of children  Formal Schooling + Informal Instruction in home

What influences gender bias in Education in India?  Time invested = school + informal instruction  School time = class + travel + homework  Substantial gender differences in daily tasks imply gender bias in opportunity cost of time House Work – women do nearly all (rural & urban)  specialization starts early, including for schoolgirls BUT rural women also work in fields, urban women constrained to home, time available for instruct/learn  Urbanization – huge plus for female education Increased school attendance (Male & Female) Decreased female dropout More informal instruction – mostly by women  Prob (get informal instruction) – gender not significant

Main Findings on Informal Instruction within Home Household Fixed Effects Model Gender is statistically insignificant and very small magnitude Robust to sample selection

The Time Use Diary Methodology  Standard Labour Force Survey Retrospective & summative questions asked:  “How many hours do you normally work?”  Rounding, Anchoring, Inconsistency Problems  Large samples possible, low response burden  Time Diary Interviewer walks respondent through previous random day – in minute intervals  Narrative spur to recall Multiple activities + social context observable  Imposes consistency & completeness Better measures of working hours?  Labour Intensive - implies small samples (?)  Episodic activities probabilistically observed E.g. Expectation (dining out | characteristics

Indian Time Use Survey,  Gujarat, Haryana, Madhya Pradesh, Meghalaya, Orissa, Tamil Nadu. 233 million total pop. Regionally representative  Stratified Random Sampling (NSS). 52 districts  18,592 Households. (77,593 persons). 12,751 rural, 5,841 urban Households  Interview Method. Male + female interviewer Visit village for 9 days to assess Time Use Diary of day’s activities for all persons aged 6+  Normal / Abnormal / Weekly variant – normal used

Indian Time Use Survey,

Commodities + Home Production enable Household Consumption  Housework in India Clearly a female task – rural & urban  Primary + Secondary + Trade/Services = SIC Commodity Production Waged + Unwaged Labour “Caring” labour – valuable but no commodities Rural – female field work time ≈ 2/3 male  Field work + house work = longer workday Urban – constrained female work time  Average Male SIC work hours ≈ 8.5  Average Female SIC work hours ≈ 1.5

Housework – clearly gendered task in India! urbanrural Housework (4) Housework (4) Boys Girls Difference Boys Girls Difference Boys Girls Difference urbanrural Housework (4) Housework (4) Men Women Difference Men Women Difference Men Women Difference

[Commodity + Home Production Time] – urban/rural opportunity cost ? Average Minutes/Day Urban Rural Men Women Difference Men Women Difference991.2 Men Women Difference Average Minutes/Day URBAN Primary (1) Sec (2) Trade/ Service (3) Men Women Difference RURAL Primary (1) Sec (2) Trade (3) Men Women Difference

Schooling and Informal Instruction  Human Capital formation – time intensive  Do Indian Families prefer to invest in the Human Capital of boys? School enrolment & attendance  Lower & more biased to boys in rural areas  Urban – roughly equal boys/girls  HUGE impact of parental illiteracy Informal Instruction by parents  Historically important – Sweden in 1600s  ITUS match parent & child reports of informal instruction “Teaching, training & Instruction of own children” (521) - Parents " non-formal education” (741) - children simultaneous give/receive – Who gives? Who gets?

School Attendance of Boys & Girls  Urban – roughly similar attendance rates  Rural – systematic female disadvantage  Smaller in % attend (-8.8%) than in % enrol (-11.7%) Attendance Ages 6-10Ages 11-14Ages 15-18Ages 6-18 BoysGirlsBoysGirlsBoysGirlsBoysGirls %%%% Total Urban Total Rural

School Attendance differences Gender – small compared to class Ages 6-10Ages BoysGirlsBoysGirls Urban No lits in HH Some lits in HH Rural No lits in HH Some lits in HH

Parental Informal Instruction in India  Are boys more likely to receive informal instruction than girls in the same family?  Households fixed effects model I hc =f(X h, Z hc, u hc ) Can deal with omitted variable bias Justifiable – compared to two probits Linear probability estimation Within and Random effects estimation – Hausman test – within preferred  Sample selection? – no evidence

Informal Instruction (Continued …)

Conclusions  Gender Bias in Tasks Housework – clearly gendered labour in rural & urban India Total – housework + commodity production – less clear  Younger rural women; housework + field work = longer day Field work = Opportunity cost of any time girls spend in school  Urban women – less work outside home Available time for school + home instruction of children  Gender Bias in Opportunities Parental Illiteracy – major negative for school & informal Rural - Less school & less parental instruction  Girls especially disadvantaged Urban - More school & more parental instruction No evidence of gender bias in informal instruction  Amount & Gender Equity of Human Capital Investment Under-appreciated benefit of urbanization in India ?

Thank You