Time Use Patterns by Immigration Status in Canada Mobinul Huq Department of Economics University of Saskatchewan Saskatoon, Saskatchewan S7N 5A5 CANADA.

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.

1 The Social Survey ICBS Nurit Dobrin December 2010.

Value and devalue of women’s Work in China and India ----Unanswered Three Questions Feng Yuan

The Changing Well-being of Older Status First Nations Adults An Application of the Registered Indian Human Development Index Symposium on Aboriginal Experiences.

Integrating a Gender Perspective into Time Use Statistics.

Classifying Household Production Activities Gretchen Donehower Day 1, Session 2, NTA Time Use and Gender Workshop Monday, May 21, 2012 Institute for Labor,

Combining the strengths of UMIST and The Victoria University of Manchester An analysis of the relationship between time spent on active leisure and educational.

Married Parents’ Time Use at Home, at Play, and with Children: Variations by Labor Force Status Ariel Kalil, Ph.D. and Kathleen M. Ziol-Guest, Ph.D. Harris.

WOMEN FACULTY AND THE SOCIAL–CULTURAL NEXUS IN HIGHER EDUCATION Karla A. Henderson, North Carolina State University To examine the social- cultural nexus.

On Gender-focused Time Use Survey Data analysis April,2013,Japan By Pastharee Panmee National Statistical Office, Thailand.

Volunteering in 2007 Current Population Survey Bureau of Labor Statistics Stephanie White June 19, 2008.

5 in 5 1. The average age the people are expected to live is _____. 2. _____ is the total amount of goods and services produced in a year. 3. _____ means.

May 2014 © 2014 Ipsos. All rights reserved. Contains Ipsos' Confidential and Proprietary information and may not be disclosed or reproduced without the.

1 Immigrant Economic and Social Integration in Canada: Research, Measurement, Data Development By Garnett Picot Director General Analysis Branch Statistics.

HOME ALONE: DETERMINANTS OF LIVING ALONE AMONG OLDER IMMIGRANTS IN CANADA AND THE U.S. SHARON M. LEE DEPARTMENT OF SOCIOLOGY POPULATION RESEARCH GROUP.

1 Computers, the Internet, and the 50+ Population Shereen Remez Robert Prisuta AARP Knowledge Management March, 2003.

Paper written by: Dr. Aydemir and Dr. Skuterud Presentation by: Curt Pollock, Marc Dales, Levon Sarmazian, Jessica Lindgren and Chad Johnson.

Glasgow Grows Audiences LtdT Suite 1/1 F Dixon StreetE. Glasgow G1 4AXW. : Solutions.

May 13, 2011 The gender pay gap in the European union: Quantitative and qualitative indicators DULBEA Department of Applied Economics of the Université.

Integrating a Gender Perspective into Statistics Selected topic: Poverty Statistics S. Nunhuck Statistics Mauritius.

Expert Group on International Statistical Classifications New York, May 2015 United Nations Statistics Division The revision of the International.

Time Use and Gender Working Group Gretchen Donehower The Tenth Meeting of Working Group on Macroeconomic Aspects of Intergenerational Transfer Beijing,

ILO Department of Statistics1 ILO experience in quickly estimating the impact of financial crisis on the global labour market International Seminar on.

Home production: value and contents Case: Finland Johanna Varjonen Time Use & National Transfers Accounts Workshop Nov 8-9, 2012 Stockholm.

 Increasing age was associated with more time in sleep & leisure, & less in productive activity.  Females averaged less time in leisure & more time in.

Éric Caron Malenfant, André Lebel, Laurent Martel Lisbon, April 2010

United Nations Expert Group Meeting on the Revision of ICATUS, June 2012, New York ICATUS 2012 Session 3: Classification of productive activities.

1 The Labour Market Integration of Immigrants in OECD Countries on-going work for OECD's Working Party 1, EPC presented by Sébastien Jean (OECD) Workshop.

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.

Time transfers within households along the lifecycle: a NTA and gender perspective Anne Solaz (Ined) Elena Stancanelli (Paris 1)

Session III. Emerging issues in gender statistics “Time Use in Australia” Carolyn Ashley Australian Bureau of Statistics UNECE Work Session on Gender Statistics.

Women’s Roles in Non-Economic Activities

1 The Economics of Canadian Citizenship A Common Ground for Social Scientists ? Don J. DeVoretz Senior Research, MBC Professor, Simon Fraser University.

WORKSHOP AGIR THE HAGUE FEBRUARY RESULTS FOR BELGIUM – WP2 J. MESTDAGH – M. LAMBRECHT Federal Planning Bureau Economic Analysis & Forecasts.

Housework sharing among dual-earner French Couples : gender inequality remains Sophie Ponthieux, Amandine Schreiber INSEE, France.

The Division of Labour within the household: Is There any Escape from Traditional Gender Roles? Catherine Sofer (Paris School of Economics and University.

1 GENDER STATISTICS BY LIFE CYCLE STAGES IN ROMANIAN TIME USE SURVEY SEMINAR ON TIME USE SURVEYS (TUS) 12 OCTOBER 2006, BRUSSELS, BELGIUM DG Employment,

1 Literacy & Numeracy Do They Really Matter? W. Craig Riddell University of British Columbia Ministry of Training, Colleges and Universities Toronto, Ontario.

Integrating a gender perspective into environment statistics Workshop on Integrating a Gender Perspective into National Statistics, Kampala, Uganda 4 -

Women’s Roles in Non-economic Activities Using Time Use Surveys in Thailand 3 rd Global Forum on Gender Statistics October 2010Manila, Philippines.

Modern Labour Economics Chapter 7 Labour Supply: Household Production, the Family, and the Life Cycle.

by The McGraw-Hill Group of Companies Inc. All rights Reserved. McGraw-Hill/Irwin W ORK AND H OME CHAPTER 11.

Levels of Development. Indicators for Measuring Level of Development Infrastructure The basic foundations of an economy Transportation, sanitation, education,

7 August Inter-Regional Workshop on the Production of Gender Statistics New Delhi, India, 6-10 August 2007 Measuring Women’s and Men’s Work: Towards.

Key statistical concepts in a user-friendly manner Workshop title Location and Date.

Measuring work and economic activity Workshop Title Location and Date.

Gender Perspectives of Time Allocation in China Anne de Bruin, Massey University, New Zealand Na Liu, Xiangtan University, People’s Republic of China IAFFE.

Examining Education - Occupation Match Rates of Immigrants in Broad Immigration Categories: Results from the 2011 National Household Survey – Immigration.

SOC101Y Introduction to Sociology Professor Adam Green Lecture #11 Gender Inequality 9 Jan 13.

Man-Yee Kan, University of Oxford Heather Laurie, University of Essex Who is doing the housework in multicultural.

Women out of home Consumption of Out of Home Workforce participation

Ontario Cycling Tourism Statistics 2015

Ontario Cultural Tourism Statistics 2015

Ontario Cycling Tourism Statistics 2015

Ontario Hunting Tourism Statistics 2015

Ontario Sport Tourism Statistics 2015

Ontario Indigenous Tourism Statistics 2015

Ontario Beach Tourism Statistics 2015

Ontario Theme Park Tourism Statistics 2015

Ontario Casino Tourism Statistics 2015

Ontario Fishing Tourism Statistics 2015

Ontario Skiing Tourism Statistics 2015

Ontario Golf Tourism Statistics 2015

Ontario Trail Tourism Statistics 2015

Ontario Snowmobiling Tourism Statistics 2015

Figures adapted from the TIEDI Analytical Report #4:

Ontario Boating Tourism Statistics 2015

LAMAS Working Group October 2018

Figures adapted from the TIEDI Analytical Report #16: Labour market outcomes of immigrants by educational attainment, gender and age Report available.

Presentation transcript:

Time Use Patterns by Immigration Status in Canada Mobinul Huq Department of Economics University of Saskatchewan Saskatoon, Saskatchewan S7N 5A5 CANADA Ph: (306)

Immigration issues: Projected labour shortage and immigration as a solution. Assimilation of immigrant population in the host country. Current economic research focus In terms of labour market outcomes. Earnings, labour supply, employment/unemployment, market valuation of foreign degree and experience. Non-market activities?

Literature on time use pattern: Comparisons by demographic characteristics (Marshall 2006, Apps and Rees 2005, Stobert et al. 2005) Gender, Age group,.. Change over time (Fisher et al. 2007) Cross country comparison (Anxo et al. 2007) Canadian born versus foreign born/immigrants ?

Data Source Statistics Canada Time Use survey, 2005 (General Social Survey Cycle 19) Data Selection Age 25 to 54 Omitted: Non-permanent residents, missing information on marital status, education, urban/rural. 4 groups by gender and place of birth (Canadian born/foreign). Number of Observations (N) MaleFemale Canadian-born Immigrant796952

Daily Time use 10 one-digit activities: 96 two-digit activities: 186 three-digit activities: One-digit activities: 0 Employed work 1 Domestic Work 2 Care Giving 3 Shopping & Services 4 Personal Care 5 School and Education 6 Organizational, Voluntary and Religious activities 7 Entertainment (Attending) 8 Sports and Hobbies (participating) 9 Media and Communication

1.Domestic work (Variable name DVDOM) includes: 10. Meal preparation 101. Meal preparation 102. Baking, Preserving Food, Home Brewing Etc. 11. Meal cleanup 12. Indoor cleaning 13. Outdoor cleaning 14. Laundry 15. Mending Home Repairs, Maintenance …… (161 to 164) 17. Gardening, Pet Care …… (171 to 173) 18. Other Housework …… (181 to 186) 19. Travel for household work

Time use pattern by immigration status Average time spent by different activities: For example: Average hours of market work by Canadian born (C i ) versus immigrants (I i ) Participation rate by activities: Average time spent by participants:

Dissimilarity indices compared by Stewart (2006) Weighted Szalai Index : Absolute Deviation Index: Weighted Absolute Deviation Index: Szalai Index: One of the issues with unweighted indices: Sensitivity to short duration activities. Interpretation: Szalai indices have no obvious interpretation: AD: average proportional difference. WAD: The percentage of time that must be reallocated for equality.

Stewart (2006) conclusion: “Given its robustness and its natural interpretation, the weighted absolute-deviation index, T WAD, clearly dominates other indexes considered.” Weighted Absolute Deviation Index: WAD: The proportion of time that must be reallocated for equality. Sum of Absolute Deviation Halved (SADH): SADH: the amount of time that must be reallocated for equality. SADH= WAD*1440 SADH = 15 minutes equivalent to WAD=.01

Dissimilarity by level of disaggregation: (2x2 Example) SADH: WAD One-digit: 4 hours/day 0.17 Two-digit 7 hours/day0.29 Hypothetical example (one digit) AB 1. Work Non-work128 SADH (WAD) 4 (0.17) Hypothetical example (two digit) AB 11. Market work Non-market work Non-work awake Sleep67 SADH (WAD) 7 (0.29)

Required Reallocation Between one digit activities: 4 Hypothetical example (one digit) AB 1. Work =12 2. Non-work12 8+4= 12 SADH0 Hypothetical example (two digit) AB 11. Market work612-4=8 12. Non-market work Non-work awake61+4=5 22. Sleep67 SADH3 Additional level two reallocation requirement: 3 Within one-digit activity 1: 2 Within activity 2: 1 hour. Hypothetical example (two digit) AB 11. Market work68-2=6 12. Non-market work64+2=6 21. Non-work awake65+1=6 22. Sleep67-1=6 SADH0

Base SADH (1-digit): 4 hours/day (between 1-digit activities) 2-digit Marginal SADH: 3 hours/day (between 2-digit activities, within 1-digit activities) Decomposition of Marginal SADH; Within Activity 1: 2 hours/day Activity 2: 1 hour/day

0 Employed work 1 Domestic Work 2 Care Giving 3 Shopping & Services 4 Personal Care 5 School and Education 6 Organizational, Voluntary and Religious activities 7 Entertainment (Attending) 8 Sports and Hobbies (participating) 9 Media and Communication Time spend on four broad categories (minutes per person per day). All individuals, including non-participants (zeros) Men 25 to 54Women 25 to 54 Canadia n- BornImmigrant Gap (I-C) Canadia n- BornImmigrant Gap (I-C) Average minutes Per Day (Population) Market work (0) Non-market Work (1,2,3,5) Personal Care (4) Discretionary time (6 to 9) SADH Min/day (WAD) 28 (0.019) 36 (0.025)

Time spend on one-digit activities (minutes per person per day) All individuals, including non-participants (zeros). Men 25 to 54Women 25 to 54 Canadian- Born Immig rant Gap (I-C) Canadia n- Born Immigra nt Gap (I-C) Average minutes Per Day (Population) 0 Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication SADH Min/day (WAD) 58 (0.04) 43 (0.03)

Top Four ‘Absolute gap’ activity Men 25 to 54Women 25 to 54 Canadian - Born Immigra nt Gap (I-C) Canadia n- Born Immigra nt Gap (I-C) Average minutes Per Day (Population) Employed work School and Education Domestic Work Entertainment (Attending) Media and Communication

Gap within one-digit activities: Men 25 to 54Women 25 to 54 Canadian- BornImmigrant Gap (I-C) Canadian- BornImmigrant Gap (I-C) Average minutes Per Day (Population) 0 Employed work 09 Travel: To and from work Domestic work 11 Meal preparation Home Repairs, Maintenance Entertainment 75 Visits, Entertaining Friends/relatives Media: 91 Television, Rented Movies

Participation rate by ten one-digit activities Men 25 to 54Women 25 to 54 Canadia n- Born Immigra nt Gap (I-C) Canadia n- Born Immigra nt Gap (I-C) ) 0 Employed work 63%67%3%51%53%2% 1 Domestic Work 72%66%-5%89%87%-2% 2 Care Giving 25%27%2%38%41%2% 3 Shopping & Services 31%33%1%46%42%-3% 4 Personal Care 100% 0%100% 0% 5 School and Education 3%7%4%5%8%3% 6 Organizational, Voluntary and Religious activities 11% 0%15%16%1% 7 Entertainment (Attending) 40%32%-8%46%39%-8% 8 Sports and Hobbies (participating) 42% 1%41%38%-3% 9 Media and Communication 82%83%1%81%79%-2%

Top two activities by Participation rate gap Men 25 to 54Women 25 to 54 Canadia n- Born Immigra nt Gap (I-C) Canadia n- Born Immigra nt Gap (I-C) School and Education 3%7%4%5%8%3% Entertainment (Attending) 40%32%-8%46%39%-8%

Time spend on one-digit activities (per participant per day) Men 25 to 54Women 25 to 54 Canadian- BornImmigrant Gap (I-C) Canadian- BornImmigrant Gap (I-C) Average minutes Per Day per participant 0 Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication

Deviation Men (Canadian born – Immigrant), Minutes per day. All individuals, including non-participants (zeros). Men 25 to 54 AllUrban University degree Age 40 to 54 Average minutes Per Day (Population) 0 Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication SADH Min/day (WAD) 58 (0.04) 60 (0.04) 51 (0.035) 60 (0.04)

Deviation for Women (Canadian born – Immigrant), Minutes per day. All individuals, including non-participants (zeros). Women 25 to 54 AllUrban University degree Age 40 to 54 Average minutes Per Day (Population) 0 Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication SADH Min/day (WAD) 45 (0.03) 38 (0.036) 61 (0.042) 42 (0.03)

Gender Gap (Male – Female) AGE 25 to 54Age 25 to 54 CanImmi Can urban Imm urbanCan uni Imm Uni Gap in Average minutes Per Day (Population) 0 Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication SADH Min/day (WAD) 142 (.099) 145 (.01) 134 (.09) 144 (.01) 134 (.09) 113 (.078)

Dissimilarity by level of disaggregation: Male (Canadian Born – Immigrant) SADH: WAD One-digit: 58 min/day 0.04 Two-digit 85 min/day0.06 Three-digit101 min/day0.07 Required time reallocation: To achieve equality at one-digit level: i) 58 minutes between one-digit activities To achieve equality at two-digit level: i) 58 minutes between one-digit activities plus another ii) 27 minutes between two-digit activities within same one-digit activity. To achieve equality at three-digit level: ii) 58 minutes between one-digit activities plus another ii) 27 between two-digit activities within same one- digit activity plus another iii) 16 minutes between three-digit activities within same two-digit activity.

Dissimilarity by level of disaggregation: Female (Canadian Born– Immigrant) SADH: WAD One-digit: 43 min/day 0.03 Two-digit 73 min/day0.05 Three-digit 85 min/day0.06 Required time reallocation: To achieve equality at one-digit level: i) 43 minutes between one-digit activities To achieve equality at two-digit level: i) 43 minutes between one-digit activities plus another ii) 30 minutes between two-digit activities within same one-digit activity. To achieve equality at three-digit level: ii) 43 minutes between one-digit activities plus another ii) 30 between two-digit activities within same one- digit activity plus another iii) 13 minutes between three-digit activities within same two-digit activity.

Male Female 1-Digit Digit 58+27= =73 3-Digit 85+16= =85 Men 25 to 54Women 25 to 54 Between 2-Digit Between 3-Digit Between 2-Digit Between 3-Digit Average minutes Per Day per participant Total Employed work Domestic Work Care Giving Shopping & Services Personal Care School and Education Organizational, Voluntary and Religious activities Entertainment (Attending) Sports and Hobbies (participating) Media and Communication

Conclusions: On time use pattern by immigration status: Most gap in education. Within Household work: Home maintenance, outdoor work. Entertainment. Media: Gender gap among Canadian born and immigrant groups are remarkably similar. On measures of dissimilarity: Sum of absolute deviation halved (SADH) can be reported. At the lowest level of disaggregation: the base SADH measure Then at a higher level of aggregation: the marginal SADH, and its decomposed by a lower level of coding.