Are Those Who Bring Work Home Really Working Longer Hours? Implications for BLS Productivity Measures Lucy P. Eldridge Sabrina Wulff Pabilonia Dislaimer:

Slides:



Advertisements
Similar presentations
Union Members in 2009 Jim Walker Economist Bureau of Labor Statistics January 29, 2010.
Advertisements

1 The Social Survey ICBS Nurit Dobrin December 2010.
Historical Changes in Stay-at-Home Mothers: 1969 to 2009 American Sociological Association Annual Meeting Atlanta, GA August 14-17, 2010 Rose M. Kreider,
Children’s Religious Attendance and Child Well-Being Findings from the 2004 SIPP Jane Lawler Dye, U.S. Census Bureau For presentation at the American Sociological.
NEW MILLENNIUM DEVELOPMENT GOALS (MDGs) - EMPLOYMENT INDICATORS.
How College Shapes LivesFor detailed data, see: trends.collegeboard.org. SOURCE: National Center for Education Statistics, 2013, Tables 222, 306, and.
Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
Anguelov, Chris E. Howard M. Iams, and Patrick J. Purcell, Shifting Income Sources of the Aged, Social Security Bulletin, Vol 72, No. 3, 2012 Bee, C. Adam,
42a. Number of fatalities, selected construction occupations, total (All employment) This research was conducted with restricted access to Bureau.
Are Gender Differences Emerging in the Retirement Patterns of the Early Boomers? Kevin E. Cahill Michael D. Giandrea Joseph F. Quinn June 30, th.
Millennium Development Goals (MDG) Indicators on Employment, Philippines: (In percent) GOAL 1: ERADICATE EXTREME POVERTY AND HUNGER Target 1.B:
Current Employment Statistics & Local Area Unemployment Statistics Basics Current Employment Statistics & Local Area Unemployment Statistics Basics Joseph.
Changing Demographics in Texas
Unit 4 Microeconomics: Business and Labor Chapters 9.1 Economics Mr. Biggs.
CONSTRUCTION INDUSTRY OVERVIEW AND FACTS. VALUE OF CONSTRUCTION Construction put in place during June 2002 was estimated at a seasonally adjusted annual.
Ch. 6: MONITORING CYCLES, JOBS, AND THE PRICE LEVEL The business cycle Measures of labor market activity Unemployment –Sources –Duration –Groups affected.
BACKGROUND RESEARCH QUESTIONS  Does the time parents spend with children differ according to parents’ occupation?  Do occupational differences remain.
The Characteristics of Employed Female Caregivers and their Work Experience History Sheri Sharareh Craig Alfred O. Gottschalck U.S. Census Bureau Housing.
Exploring Differences in Employment between Household and Establishment Data Katharine G. Abraham, University of Maryland and NBER John Haltiwanger, University.
Jobs and Unemployment. When you have completed your study of this chapter, you will be able to C H A P T E R C H E C K L I S T Define the unemployment.
MCCORMICK SRI: GOING DEEP WITH CENSUS DEMOGRAPHIC AND ECONOMIC DATA EMPLOYMENT AND UNEMPLOYMENT ESTIMATES FROM THE U.S. DEPARTMENT OF LABOR, BUREAU OF.
Online Industry Market Research Presented by Janet Harrah, Director Center for Economic Development & Business Research, Wichita State University.
Issues in Compensation and Profits Kurt Kunze National Economic Accounts Data Users’ Conference October 15, 2007.
Education Pays Education Pays.
The Impact of Hours Flexibility on Career Employment, Bridge Jobs, and the Timing of Retirement Kevin E. Cahill Sloan Center on Aging & Work at Boston.
University Center Research Team Dr. Scott Dempwolf, Ph.D., EDA Center Director Zhi Li, Ph.D. student Matthew Earls, Ph.D. student Kerry Li Fang, Ph.D.
Chapter Eight: Employment and Unemployment. Paid Work and Unemployment in the United States.
Volunteering in 2007 Current Population Survey Bureau of Labor Statistics Stephanie White June 19, 2008.
MEASURING UNEMPLOYMENT WHAT EXACTLY DO THE NUMBERS MEAN?
Labor Market Information Program Labor Market Statistics Center.
1. Number of Hispanic employees in construction, selected years,
Economy 2030 (Let’s just round up from 2022…) Where we’ve been; where we’re going. Kara Markley Regional Economist U.S. Bureau of Labor Statistics July.
1. Percent change in employment, (Seasonally adjusted: private wage-and-salary workers) Source: U.S. Bureau of Labor Statistics, Current.
The Perfect Storm Community Service Council of Greater Tulsa - October 2007.
DISENTANGLING MATERNAL DECISIONS CONCERNING BREASTFEEDING AND PAID EMPLOYMENT Bidisha Mandal, Washington State University Brian E. Roe, Ohio State University.
Are public sector workers overcompensated? What impact does a higher standard of living for unionized public sector workers have on the economy? Public.
May 2014 © 2014 Ipsos. All rights reserved. Contains Ipsos' Confidential and Proprietary information and may not be disclosed or reproduced without the.
Trends in the Manufacturing Sector in Massachusetts Sharing Skills ~ Building Connection Conference, March 12, 2008 Rebekah Lashman Jonathan Latner Navjeet.
MSCA6-1- Students will understand the personal nature of work and how it relates to them as individuals and as integral parts of society. a) Identify reasons.
Father Involvement and Child Well-Being: 2006 Survey of Income and Program Participation (SIPP) Child Well-Being Topical Module 1 By Jane Lawler Dye Fertility.
The New Demographics of Higher Education Will Doyle National Press Foundation Business of Higher Education Seminar 10/30/06.
Are Those Who Bring Work Home Really Working Longer Hours? Implications for BLS Productivity Measures Lucy P. Eldridge Sabrina Wulff Pabilonia Disclaimer:
1 Time spent with family during a typical workday, 1986 to Top Employer Summit March 2007 Rosemary Bender, Statistics Canada.
Available Data on Alaska’s Uninsured December 2006 Health Planning & Systems Development Unit Office of the Commissioner Alaska Department of Health &
1 Item 7: National Accounts And Employment Data Using Employment Statistics in the Russian National Accounts Alexander Surinov Deputy Head of Rosstat Joint.
The Division of Household Labor Introduction to Family Studies May 26,
Work, Families and Wellbeing: Insights and Implications of AIFS Research Professor Alan Hayes Presentation to the Work, Families & Wellbeing Forum 4 May.
UNEMPLOYMENT NOTES KOEHN-DAVIS-ADAMO. Lets look at the current US and state of MI unemployment rates CURRENT U-RATES 2010.
Gender Statistics in the Labour Market Angela Me UNECE Statistics Division.
The Quantity and Quality of Leisure: How Occupational Status Shapes the Free Time Experience of Dual Working Parents Melissa Buckmiller- University of.
46a. Fatalities involving vehicles and heavy equipment in construction, (All employment) This research was conducted with restricted access to.
Measures of Employment. What agency measures the unemployment rate?
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.
Health Insurance and the Wage Gap Helen Levy University of Michigan May 18, 2007.
BLS 1 The challenge of the decade ahead Presentation to the National Association of State Workforce Board Chairs February 25, 2006 Michael W. Horrigan.
Oxana Sinyavskaya, High School of Economics (Moscow) Use of Parental leave policies in the Russian Federation 11th.
Panel discussion: Q2a A.S. Young ILO Bureau of Statistics.
Center for Labor Markets and Policy | Drexel University Paul E. Harrington Center for Labor Markets and Policy Drexel University America at Full-Employment?
44a. Number of fatalities from falls in construction, (All employment) This research was conducted with restricted access to Bureau of Labor.
Work after Retirement from Career Jobs Robert L. Clark, Robert G. Hammond, Melinda Sandler Morrill, Aditi Pathak Department of Economics Poole College.
45a. Number and rate of electrocution deaths in construction, (All employment) This research was conducted with restricted access to Bureau of.
Women at Work Understanding the Wage Gap and its Impact on Montana’s Workforce Barbara Wagner Chief Economist Economic Update Series July 30, 2015.
40a. Number of fatalities in construction, by class of worker, (All employment)
Grand Traverse County, MI County SNAPSHOT. Overview 01 Demography 02 Human capital 03 Labor force 04 Industry and occupation 05 Table of contents.
by The McGraw-Hill Group of Companies Inc. All rights Reserved. McGraw-Hill/Irwin W ORK AND H OME CHAPTER 11.
This research is funded in part through a U.S. Health Resources and Services Administration, State Planning Grant to the Hawaii State Department of Health.
Sectors Academy: Colorado’s Economic and Demographic Environment Alexandra Hall, Director Dee Funkhouser, Manager Labor Market Information Colorado Department.
Does High School Homework Increase Academic Achievement? Charlene Marie Kalenkoski Texas Tech University Sabrina Wulff Pabilonia U.S. Bureau of Labor Statistics.
Median Earnings and Tax Payments of Full-Time Year-Round Workers Ages 25 and Older, by Education Level, 2011 FIGURE 1.1 Page 11 SOURCES: U.S. Census Bureau,
Measures of Labor Underutilization from the Current Population Survey
Presentation transcript:

Are Those Who Bring Work Home Really Working Longer Hours? Implications for BLS Productivity Measures Lucy P. Eldridge Sabrina Wulff Pabilonia Dislaimer: The views expressed are those of the authors and do not necessarily reflect the policies of the US Bureau of Labor Statistics.

Questions  Who is bringing work home from the workplace and why?  Do workers who bring work home work longer hours than those who only work in the workplace?  Does BLS’ nonfarm business sector productivity measure capture unpaid work at home?

Literature on Time Use  Michigan and Maryland time use diaries Hamermesh (1990) Robinson and Bostrom (1994)  ATUS Frazis and Stewart (2004)  1999 New Zealand Time-Use Survey Callister and Dixon (2001)

Literature on Work at Home  Home-based workers Census data - Oettinger (2004)  Occasional telecommuters Canadian WES - Pabilonia (2005) 1997 CPS Work at Home Supplement – Schroeder and Warren (2004)

Data Sources  BLS Hours Worked for all Persons in the Nonfarm Business Sector  American Time Use Survey  May CPS Supplement on Work Schedules and Work at Home

BLS Hours Worked for all Persons in Nonfarm Business Sector  Primary of source of hours data is the Current Employment Statistics (CES) survey  Supplement with other information where CES data are lacking, most importantly »Estimate nonproduction/supervisory worker hours using a ratio from the Current Population Survey (CPS) »Convert CES hours-paid to an hours-at-work basis using National Compensation Survey (NCS) »Add hours for self-employed, government enterprise, and unpaid family workers from CPS

Share of Nonfarm Business Sector Hours and Employment, by Type of Worker: 2004 Hours Worked Employment Production/Nonsupervisory Employees Nonproduction/Supervisory Employees Nonemployees

American Time Use Survey (ATUS)  time-use daily diaries  Restrict sample to nonholiday weekday diary days  Hours worked constructed as sum of minutes for main job, by location

ATUS: Bring Work Home Variable  Report any minutes of work on their main job at the workplace and at home on the same day  Salaried employees are more likely to bring unpaid work home than workers who are paid hourly

May CPS Supplement on Work Schedules and Work at Home (CPS Supplement)  2001 and 2004  All respondents from the May CPS are asked supplement questions  Questions about work schedules and work at home

CPS Supplement: Bring Work Home Variable  “As part of this job do you do any of your work at home?”  “Do you have a formal arrangement with your employer to be paid for the work that you do at home or were you just taking work home from the job?

Percent of Nonfarm Business Employees by Location of Work ATUSCPS Supplement Work exclusively at the workplace No work at home Do any work at home Do any work at home Work exclusively at home Paid work at home Bring work home Unpaid work at home Salaried Work at other locations No. of respondents 3,4382,2511,69834,40639,632

Proportion Who Bring Work Home, by Time of the Day Working at Home (ATUS) Minutes per day < Number of observations

Percent Who Bring Unpaid Work Home, by Frequency (CPS Supplement) at least once a week at least every two weeks at least once a month less than once a month6.15.5

Who is bringing work home? More likely to be:  Married  Have a spouse that works  At least a bachelor’s degree  Management or professional occupations  CPS Supplement only– a parent and older Less likely to be:  Black  Hispanic  ATUS only - paid hourly  CPS Supplement only – female and work part-time

Probability of Bringing Home Unpaid Work, by Education 2004 CPS Supplement ATUS Pooled Data Advanced degree0.182***0.219*** Bachelor’s degree0.099***0.180*** Some college0.040***0.111** High school degree * Significance levels: * =p<.10;**=p<.05;***=p<.01

2004 CPS Supplement ATUS Pooled Data Female *** Any child 0.024***0.015 Any child * female *** Youngest child aged Youngest child age 3-5 * female Youngest child aged ** Youngest child aged 6-10* female Youngest child aged *** Youngest child aged * female 0.031*0.029 Significance levels: * =p<.10;**=p<.05;***=p<.01 Probability of Bringing Home Unpaid Work, by Gender and Children

Percent Who Bring Unpaid Work Home, by Reason for Work at Home Finish or catch up on work Business is conducted from home Nature of the job Coordinate work schedule w/ personal or family needs Reduce commuting time or expense Local transportation or pollution control program 0.0 Some other reason6.45.8

Do those who bring work home work longer hours? ATUS: Production and nonsupervisory employees All Workplace Only Bring Unpaid Work Home 2003 Share of prod/nonsup100.0%87.3%3.0% Average weekly hours Daily hours office hours Share of prod/nonsup100.0%86.4%3.1% Average weekly hours Daily hours office hours Share of prod/nonsup100.0%86.4%3.5% Average weekly hours Daily hours office hours

Do those who bring work home work longer hours? ATUS: Nonproduction and supervisory employees All Workplace Only Bring Unpaid Work Home 2003 Share of nonprod/sup100.0%76.9%10.4% Average weekly hours Daily hours office hours Share of nonprod/sup100.0%80.5%6.6% Average weekly hours Daily hours office hours Share of nonprod/sup100.0%75.1%7.9% Average weekly hours Daily hours office hours

Do those who bring work home work longer hours? CPS Supplement Production/Supervisory EmployeesAll No work at home Bring Unpaid Work Home 2001 Share of prod/nonsup100.0%91.3%5.8% Average weekly hours Share of prod/nonsup100.0%91.7%5.4% Average weekly hours Nonproduction/Supervisory Employees 2001 Share of nonprod/sup100.0%72.8%20.0% Average weekly hours Share of nonprod/sup100.0%72.9%19.8% Average weekly hours

Does BLS’ nonfarm business sector productivity measure capture unpaid work at home?  Estimate percent of unmeasured hours for production/nonsupervisory employees and nonproduction/supervisory employees

Production/ Nonsupervisory Employee Hours Nonproduction/ Supervisory Employee Hours Unmeasured Total Hours Share of hours worked Unmeasured hours Share of hours worked Unmeasured hours ATUS %0.59%19.7%0.64%0.53% %0.61%19.5%0.70%0.56% %0.68%18.9%0.78%0.62% CPS SUPPLEMENT %0.84%19.4%0.81%0.74% %0.83%19.5%0.82%0.73% Table 15: Percent of Unmeasured Hours in Nonfarm Business Sector

Share of Nonfarm Business Sector Hours and Employment, by Type of Worker: 2004 Hours Worked Employment Production/Nonsupervisory Employees Nonproduction/Supervisory Employees Nonemployees

Production/ Nonsupervisory Employee Hours Nonproduction/ Supervisory Employee Hours Unmeasured Total Hours Share of hours worked Unmeasured hours Share of hours worked Unmeasured hours ATUS %0.59%19.7%0.64%0.53% %0.61%19.5%0.70%0.56% %0.68%18.9%0.78%0.62% CPS SUPPLEMENT %0.84%19.4%0.81%0.74% %0.83%19.5%0.82%0.73% Table 15: Percent of Unmeasured Hours in Nonfarm Business Sector

Does BLS’ nonfarm business sector productivity measure capture unpaid work at home?  Construct total adjusted hours for all persons  Compare trends in BLS measured hours to adjusted hours series

Table 16: Annual Average Growth in Hours of all Persons for the Nonfarm Business Sector OPT series Alternative Series Difference ATUS %1.36%0.03% %1.52%0.06% %1.44%0.05% CPS SUPPLEMENT % 0.00%

Conclusions  Highly-educated workers are more likely to bring unpaid work home than less- educated workers  Fathers are more likely to bring work home than men who have no children  Worker tend to bring work home in order to finish or catch up on work not completed in the workplace

Conclusions  Those who bring work home work more hours than those who work exclusively in a workplace  The ATUS indicates that 0.5 to 0.6% of hours are unmeasured due to work at home  The CPS Supplement indicates a slightly larger percent are unmeasured – 0.7%  The ATUS shows a slight overstatement of productivity growth while the CPS supplement shows no overstatement