Abstract
We apply probit analysis to respondent-level data reported in the 2008 National Study of the Changing Workforce to decompose respondents' stated preference for workplace flexibilities. We base our analysis on a unique question that asks workers how much they would value workplace flexibilities if they were searching for a new job. The data are very detailed, which allows us to include an array of covariates that may account for the observed variation in flexibility preferences. Covariates such as gender, number of children under the age of 18, sleep problems, work-family conflict, and stress are positively correlated with flexibility preference. Other covariates, such as firm size and public employee status are negatively correlated with flexibility preference. We found mixed evidence for respondents' age, health status, race, and ethnicity.
Highlights
Introduction and MotivationOver the past several decades, demographic changes in the US labor force and technological advancements have brought the topic of flexible working arrangements (FWAs) to the forefront in many areas of academic inquiry such as Economics, Management, and Psychology
Covariates such as gender, number of children under the age of 18, sleep problems, work-family conflict, and stress are positively correlated with flexibility preference
One unique question we were able to address with our analysis was how the presence of flexibilities (Flex1 - Flex5) in respondents' current jobs correlated with a preference for flexibility in a future job
Summary
Over the past several decades, demographic changes in the US labor force and technological advancements have brought the topic of flexible working arrangements (FWAs) to the forefront in many areas of academic inquiry such as Economics, Management, and. Golden (2001a) asks the question: ''Flexible work schedules: Which workers get them?'', which he answers by applying probit analysis to data from the 1997 Current Population Survey He finds that the presence of flexibilities are negatively correlated with being female, non-white, and having lower education levels; he finds the presence of FWAs to be positively correlated with self-employment, part-time work, marital status, overtime, and being enrolled in college. Drago et al (2009) perform a similar analysis using panel data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey spanning the 2001-2005 time frame They estimate a dynamic model to determine how ex ante preferences for flexibilities map to obtaining flexibilities. Section five contains a summary of our findings and general conclusions
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