What's Up with the Decline in Female Labor Force Participation?

Hotchkiss, Julie L.

doi:10.2139/ssrn.814009

Cited by 8 publications

(10 citation statements)

References 14 publications

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“…We thank Julie Hotchkiss for providing us with her data and programs, which we used for our preliminary investigations of this approach. A fuller description of this technique is described inHotchkiss (2005).…”

mentioning

confidence: 99%

The Recent Decline in the Labor Force Participation Rate and Its Implications for Potential Labor Supply

Aaronson¹,

Fallick²,

Figura³

et al. 2006

eca

115

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THE LABOR FORCE PARTICIPATION rate is defined as the percentage of the noninstitutional working-age population (those aged 16 and over) reporting themselves as either working or actively looking for work. This statistic is constructed from data collected as part of the Current Population Survey and published monthly by the Bureau of Labor Statistics (BLS). Its longer-run trend is an important determinant of the supply of workers to the U.S. economy. For much of the past four decades, the participation rate has trended upward, rising from less than 60 percent in the early 1960s to more than 67 percent by the late 1990s. However, after peaking at 67.3 percent in the first quarter of 2000, the participation rate fell steadily to under 66 percent by early 2005 and has edged up only to just above 66 percent since then. As figure 1 shows, such a decline in labor force participation is nearly unprecedented in the postwar experience. Although the upward trend between the mid-1960s and the mid-1990s was occasionally interrupted by relatively brief periods of little change, few episodes of persistent outright decline are evident in the data. Indeed, even after the upward trend from the earlier period is removed (using, for example, a Hodrick-Prescott filter

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confidence: 99%

The Recent Decline in the Labor Force Participation Rate and Its Implications for Potential Labor Supply

Aaronson¹,

Fallick²,

Figura³

et al. 2006

eca

115

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show abstract

mentioning

confidence: 99%

A Cohort-Based Model of Labor Force Participation

Fallick

Pingle

2007

FEDS

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The probability that an individual participates in the labor force declines precipitously beyond age 50. This feature of labor supply suggests that ongoing shifts in the age distribution of the population will put substantial downward pressure on the aggregate labor force participation rate. However, the aggregate rate is also influenced by trends within age groups. Neglecting to model both within-group influences and shifting population shares will doom any estimate of aggregate labor supply. We develop a model that identifies birth cohorts' propensities to participate, uses these propensities to derive age-specific trends in participation rates, and explicitly incorporates the influence of shifting population shares in estimating aggregate labor force participation.

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“…They apply aggregate descriptive representations of the time series and cross-country evolution of fertility, female employment and a set of labor market, educational and demographic variables and indicators of social policy. Hotchkiss (2005) determines that the weaker positive pull of education into the labor market and weaker labor market conditions are the observed factors that contributed the most to the decline in the labor force participation rate. Foley and York (2005) show, on the supply side, explanations for this common experience have pointed to increased education, and consequently real wages, for women, as well as growth in the demand for female labor.…”

Section: Literature Reviewmentioning

confidence: 99%

Push and Pull Factors behind Female Labor-force Participation Decision, a Study of Kerala and West Bengal: two States of India

Choudhury¹

2013

JSDS

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This paper wants to show whether the decision of female labor force participation depends on economic factors or social factors. Female labor force participation is an outcome of both the factors. It can be possible that, economic and social factors play two different kinds of role. This paper tries to identify those push and pull factors and examine the significance of those factors in the decision regarding female labor force participation in two states of India, Kerala and West Bengal. Whether the factors are macroeconomic like SDP, literacy rate and urbanization, which can 'pull' FLPR up, or, the factors are micro economic, personal, poverty, and insecurity, which can 'push' the FLPR. By using binary logistic regression method, it is found in the paper that the micro level personal factors have more powerful influence on FLPR. The paper suggests that if we want to judge women's development through the FLPR, first we search for the factors behind that high FLPR. If the underline factors are 'push factors', the formula for GDI calculation should also be altered.

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What's Up with the Decline in Female Labor Force Participation?

Cited by 8 publications

References 14 publications

The Recent Decline in the Labor Force Participation Rate and Its Implications for Potential Labor Supply

The Recent Decline in the Labor Force Participation Rate and Its Implications for Potential Labor Supply

A Cohort-Based Model of Labor Force Participation

Push and Pull Factors behind Female Labor-force Participation Decision, a Study of Kerala and West Bengal: two States of India

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