LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty.

Slides:



Advertisements
Similar presentations
Experiences of Discrimination: The Impact of Metropolitan and Non- Metropolitan Location Brian Ray, University of Ottawa Valerie Preston, York University.
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.
Being Educated or in Education: the Impact of Education on the Timing of Entry into Parenthood Dieter H. Demey Faculty of Social and Political Sciences.
Poverty trajectories after risky life events in Germany, Spain, Denmark and the United Kingdom: a latent class approach Leen Vandecasteele Post-doctoral.
Earnings Differentials of Males and Females in Same-sex and Different-sex Couples in Canada, Richard E. Mueller Department of Economics.
University as Entrepreneur A POPULATION IN THIRDS Arizona and National Data.
The Social Consequences of Economic Inequality for Canadian Children: A Review of the Canadian Literature.
Young People’s emotional well-being: The impact of parental employment patterns Dr Linda Cusworth Social Policy Research Unit, University of York International.
Family Size and Family Structure Lecture 12 Subtitle: Trends in Births and Births Rates.
Carl E. Bentelspacher, Ph.D., Department of Social Work Lori Ann Campbell, Ph.D., Department of Sociology Michael Leber Department of Sociology Southern.
Economic Turbulence & Employment Trends Dr. Fragouli Evaggelia (HARVARD, COLUMBIA) Lecturer, University of Athens, Dpt. of Economics & Senior R&D Dpt.
Working with Taxfiler (T1FF) Data Wayne Chu Planning Analyst Social Development, Finance & Administration, City of Toronto Toronto CDP Face-to-Face, September.
The impact of job loss on family dissolution Silvia Mendolia, Denise Doiron School of Economics, University of New South Wales Introduction Objectives.
Swings and Roundabouts Lone mothers and the Australian Welfare System R G Gregory Australian National University.
Household Production and the Distribution of Income in the United States Cathleen D. Zick, University of Utah, W. Keith Bryant, Cornell University Sivithee.
Employment Decisions of European Women After Childbirth Chiara Pronzato (ISER) EPUNet Conference, May 9th 2006.
YOUTH DEMOGRAPHICS IN THE CITY OF TORONTO Toronto Community and Neighbourhood Services: Social Development and Administration Division.
Producing migration data using household surveys Experience of the Republic of Moldova UNECE Work Session on Migration Statistics, Geneva, October.
Toronto and Region Toronto differs from its metropolitan region in urban form, housing market characteristics and population composition. Despite the.
SITUATION ANALYSIS AND IDENTIFICATION OF NEEDS IN THE AREA OF FAMILY POLICY IN SLOVENIA Ružica Boškić Child Observatory Social protection Institute of.
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.
© 2013 Pearson. How long does it take to find a job?
1. Purpose Examine how maternal employment at the child’s age of three affects his/her educational outcome at age of eighteen, using Korean panel data.
DISENTANGLING MATERNAL DECISIONS CONCERNING BREASTFEEDING AND PAID EMPLOYMENT Bidisha Mandal, Washington State University Brian E. Roe, Ohio State University.
STATISTICSSTATISTIQUECANADA Aboriginal Labour Force Survey Province of Alberta.
4th Russia-India-China Conference, New Dehli, November Entry to and Exit from Poverty in Russia: Evidence from Longitudinal Data Irina Denisova New.
Cultural Difference: Investment Attitudes and Behaviors of High Income Americans Tahira K. Hira – Iowa State University
1 Immigrant Economic and Social Integration in Canada: Research, Measurement, Data Development By Garnett Picot Director General Analysis Branch Statistics.
A route out of poverty? Mothers’ employment and wages in the UK Families and Children Study Francesca Bastagli and Kitty Stewart Centre for Analysis of.
1/17 The Transition from Welfare to Work and the Role of Potential Labor Income Hilmar Schneider (IZA, DIW Berlin) Arne Uhlendorff (DIW Berlin, IZA)
Timebanking and Poverty: Creating Abundance in a Challenged Economy.
Welfare Reform and Lone Parents Employment in the UK Paul Gregg and Susan Harkness.
Family Benefits in Poland How much do they alleviate poverty? Anna Ruzik (IPiSS. CASE). Marta Styrc (IPiSS. SGH) Research Seminar WNE UW May 29th, 2008.
Household food insecurity among low-income Toronto families: Implications for social policy Sharon Kirkpatrick & Valerie Tarasuk Department of Nutritional.
The Great Recession, the Social Safety Net, and Economic Security for Older Americans Richard W. Johnson and Karen E. Smith Urban Institute Presented at.
Centre for Market and Public Organisation Using difference-in-difference methods to evaluate the effect of policy reform on fertility: The Working Families.
The Well-Being of Children in the Canadian North.. Angela Daley Department of Economics, Dalhousie University This research is highly preliminary. Please.
Welfare Regimes and Poverty Dynamics: The Duration and Recurrence of Poverty Spells in Europe Didier Fouarge & Richard Layte Presented by Anna Manzoni.
Copyright© 2008 South-Western, a part of Cengage Learning. All rights reserved. CHAPTER 3 Working for a Living: Monitoring Labor Market Conditions.
Demographic Trends: Carl Onubogu. Average household income Percentage of population over 25 with less than high school education Percentage.
LABOUR FORCE PARTICIPATION, EARNINGS AND INEQUALITY IN NIGERIA
The Role of Advertising in the Growth of the Supplemental Nutrition Assistance (SNAP) Caseload The views and opinions expressed here do not necessarily.
Nordic Family Policy and Demographic Consequences Presentation at 11 th LPR Network seminar, Tallinn th of September 2014 Ann-Zofie Duvander.
Promoting Work Supports: Background, Issues, Opportunities June 17, 2005 Mark Greenberg Director of Policy Center for Law and Social Policy th.
National Jewish Population Survey Strength, Challenge and Diversity in the American Jewish Population A United Jewish Communities PowerPoint Presentation.
Felicia Yang DeLeone, Institute for Children, Poverty and Homelessness Dona Anderson, Homes for the Homeless November 7, 2011 Child Care Use in Homeless.
The dynamics of poverty in Ethiopia : persistence, state dependence and transitory shocks By Abebe Shimeles, PHD.
How Economic and Ideational Factors Interact in Shaping Marriage Timing in Nepal --A Reasonable Choice Approach Yingchun Ji Carolina Population Center.
Age at First Marriage in Palestine Niveen ME Abu-Rmeileh, MPH, PhD Institute of Community and Public Health-Birzeit University Ulla Larsen, PhD University.
Who supports whom? Co-residence between young adults and their parents Maria IacovouMaria Davia Funded by JRF as part of the Poverty among Youth: International.
Unemployment in the U.S.. The U.S. Unemployment Rate since 1960 Sources : and, Robert J. Gordon, Macroeconomics (Boston: Addison-Wesley,
Transition of NCV students from TVET colleges to the Labour Market Presentation to Bridge Post School Access Focus Group 22 October 2015.
Economics and Statistics Administration U.S. CENSUS BUREAU U.S. Department of Commerce The Foreign-Born Population in New Mexico Size, Distribution, and.
Hessian Ministry of Economics, Transport, Urban and Regional Development Different approaches of the State of Hessen to adapt labour and qualification.
Family Demography How do demographic characteristics affect life chances? w/statistical-abstract-us.html.
By Osunde Omoruyi (PhD) and Augustine Dokpesi (PhD)
Welfare Returns and Temporary Time Limits Dr. Vicky Albert UNLV School of Social Work 10 th Annual Welfare Research and Evaluation Conference Washington.
Laura Lamb & Belayet Hossain Thompson Rivers University Kamloops, BC Canada 1.
Muskie School of Public Service University of Southern Maine Who Uses Individual Health Insurance & For How Long? Erika Ziller Andrew Coburn Timothy McBride.
Remittances and Human Capital Investment: Evidence from Albania Ermira Hoxha Kalaj December 2010.
Children’s Emotional and Behavioral Problems and Their Parents’ Labor Supply Patrick Richard, Ph.D., M.A. Nicholas C. Petris Center on Health Markets and.
Sean Clouston* PhD Candidate, Department of Sociology, McGill University Amélie Quesnel-Vallée Assistant Professor, Departments of Sociology, Epidemiology,
Acknowledgments: Craig Ravesloot, PhD., Tannis Hargrove, MS, The Rural Institute, University of Montana. Introduction, Materials, and Methods In this study.
The State of Fathers in the State of Hawaii by Selva Lewin-Bizan, Ph.D. Center on the Family, University of Hawaii and Hawaii State Commission on Fatherhood.
 ARGUMENT  SIDE EFFECTS  THE BOGEYMAN OF THE NEOLIBERAL STATE  WHAT EXACTLY IS POVERTY?  WHAT ARE THE EFFECTS OF POVERTY?
Taking Part 2008 Multivariate analysis December 2008
Families, Time and Well-Being in Canada
LISA, Anticipating the Next Generation of Longitudinal Data
LISA, Anticipating the Next Generation of Longitudinal Data
Presentation transcript:

LORI CURTIS AND KATE RYBCZYNSKI DEPARTMENT OF ECONOMICS UNIVERSITY OF WATERLOO OCTOBER 24, 2012 ACKNOWLEDGE SSHRC FOR FUNDING. No Exit: Women in Poverty

Motivation Women face higher risk of long term poverty.(Finnie & Sweetman 2003; Lochhead & Scott 2000; Burstein 2005)  Women comprise ~61% of the long term poor Few studies on determinants of poverty duration and exits in Canada. (Finnie & Sweetman 2004; Finnie 2000; Antolin, Dang & Oxley 1999; Burstein 2005; Lochead & Scott 2000)  Negative Duration Dependence  Family Composition  Employment Status  Age  Education (Welfare studies & US poverty studies)

Data & Methodology Canadian Survey of Labour and Income Dynamics (SLID) (Panels 1-4)  target population is all individuals in Canada excluding persons living on Indian reserves, institutionalized individuals and some northern communities (less than 3% of the population).  The sampling frame is the Labour Force Survey.  Interviewed yearly between January and March regarding labour market experiences, income, education, family relationships and other demographics  Data were accessed in the Southwestern Regional Data Centre at the University of Waterloo which is part of the Canadian Data Research Data Network. Although the data were accessed through Statistics Canada, the opinions sited within do not reflect Statistics Canada’s policies or opinions.

Data & Methodology Poverty spell: continuous period household income falls below the after-tax LICO. Exclude spells where individual under 25, over 60 or a student  under 25 or students may be poor given their current income but long-term outlook is very different than others living in poverty  over 60 due to retirement issues and the possible receipt of government provisions (OAS and/or GIS). Those with missing information also excluded. Sample of 2953 poverty spells for 2764 women

Duration of Poverty Spell Duration is end date less start date in years  Start dates unknown if spell starts before first year of panel.  End dates unknown if spell continues after last year of panel. Flagged as left-censored and right-censored, respectively (Finnie and Sweetman, 2003) Right-censored spells retained Left-censored spells are omitted from the sample  No characteristics of the individual on entering poverty

Methodology Descriptive Proportional hazard, discrete Models with and without gamma distrib. heterogeneity  Prentice-Gloeckler 1978; Jenkins 2008 Analysis by Exit type (competing risks) Report exponentiated coefficients = relative risks for all models

Methodology Construct our competing risks analysis by generating a categorical variable equal to  0 if the individual does not exit in time t,  1 if they exit to less than 1.1 times the LICO,  2 if they exit to an inclusive range of 1.1 and 2 times the LICO,  3 if they exit to more than twice the LICO. Allison (1982) Specification 1 control variables measured prior to entering poverty Specification 2 adds some control variables measuring changes within the poverty spell (e.g., become married, now have children, begin full-time work, etc)

Table 1 Spell Characteristics Sample a Censored b Average Spell Duration1.865 (1.131) (0.717) Percent with Multiple Spells Percent Exiting Poverty Percent Right Censored Number of Spells Note: standard errors in brackets. a includes cells that are right censored but excludes spells that are left-censored b excludes cells that are right and left censored

Distribution of Ratio of Family Income to LICO on Exiting Poverty Spell

Table 2 Spell Characteristics by Family Income Relative to LICO on Spell Exit Inc < 1.1*LICO 1.1* LICO ≤ Inc≤2*LICO Inc > 2.0* LICO Average Spell Duration (0.829) (0.717) (0.566) Percent Multiple Spells Percent Exiting to Note: standard errors in brackets.

Descriptive Stats show 1/3 of poverty spells do not end in the study period average duration of poverty spells is almost 2 yrs. 1/5 th of the sample has multiple poverty spells. close to 20% exit to <110% of the LICO, 60 percent exit to ‘near poverty’ (1.1 to 2*LICO) only 20% exit to higher-income levels (>2* LICO). ¼ exits < 2*LICO by women with multiple spells.

Duration analyses ‘determinants’ of exiting poverty. Factors (year prior to poverty spell) that increase likelihood of exit  Labour attachment year prior to poverty spell  having higher education Decrease likelihood of exit  participating in social assistance  being an immigrant  having younger children  being unattached (compared to couples with no children)  years in poverty increase (negative duration dependence)

Adding Characteristics that change within a spell results in substantively similar estimates All change variables decrease likelihood of exit as possibly decrease income  leaving a marriage  having children enter or leave the household  becoming disabled are associated Multiple spells increase likelihood (have to get out to get back in)

Competing Risks Framework (compared to not exiting) SA prior to entering poverty less likely to exit to 1.1*LICO Full year employment and having a high school diploma (compared to < HS) are associated with moving out of poverty to income that is between 1.1 and 2*LICO. Higher levels of education, employment and age are positively associated with exiting to >2*LICO being an immigrant, unattached, on social assistance, or having young and more children are negatively associated with leaving poverty to>2*LICO

Table 5 Mean Spell Duration pre and post Intro of NCB Spells starting before 1998 Spells Starting in or after 1998 a All Females1.992 (1.254) (1.036) Lone Parents2.200 (1.272) (1.006) Couples with Children1.862 (1.170) (0.995) Other Family with Children1.964 (1.333) (1.019) Unattached2.226 (1.345) (1.078) Other Family - no Children2.130 (1.352) (1.085)

Possible Policy Conclusions Our data seem to indicate that a not so small portion of women who enter poverty are ‘trapped’ there. increasing education and employment opportunities for the poor. temporary or longer-term guaranteed living income for those with disabilities, larger families and long- term social assistance recipients who are not able to find employment or women with multiple spells

Possible Policy Conclusions the competing risks framework demonstrates that exiting poverty is not the same experience for all women. Studies examining poverty and poverty duration should differentiate between those who exit to near the poverty line or to far above the poverty line – clearly, these are very different experiences for women and their families and are strong indicators as to whether or not a women (and her family) will return to poverty.