Can Social Security Explain Trends in Labor Force Participation of Older Men in the United States?

2010 ◽  
Vol 45 (2) ◽  
pp. 328-363 ◽  
Author(s):  
David M. Blau ◽  
Ryan M. Goodstein
1994 ◽  
Vol 18 (1) ◽  
pp. 55-75 ◽  
Author(s):  
Jon R. Moen

The fall in the labor force participation rate of older men in the United States has been dramatic. In 1860 approximately 76% of men 65 and older were in the labor force. Today less than 20% work. Much of the decline has been explained in terms of a shift from agricultural occupations to manufacturing or industrial occupations, where participation historically has been lower at older ages. Participation rates, however, appear to have been constant in both farm and urban households through 1930, thus challenging the thesis that industrialization and urbanization were causes of the fall in the participation rate of older men.


2016 ◽  
Vol 8 (2) ◽  
pp. 201 ◽  
Author(s):  
Joseph S. Falzone

<p>The objectives of this article are two fold. Changes in older men’s labor force participation in the United States are first described focusing on human capital and demographic variables. A model of the labor/leisure choice and the retirement decision of older menare then estimated employing Maximum Likelihood Probit. While changes in Social Security Benefit rules are a significant factor in explaining the trend of rising retirement age among older men, the focus here is on additional factors that contribute to older men’s decision to forestall retirement. Probit coefficient estimates for three distinct age cohorts verify the effects of hypothesized determinants of the decision to retire. Specifically, the coefficient on estimated earnings is negative and hasthe largest marginal effect on the decision to retire followed by years of education and retired wife. The effects of wives’ retirement decision will likely influence and forestall the retirement decision of married men as more working women reach retirement age. The rise in labor force participation rates of older men may offset rather than reverse the decline in men’s labor force participation rates that began more than a half century ago.</p>


Author(s):  
Joshua L. Rosenbloom ◽  
Ronald A. Ash ◽  
LeAnne Coder ◽  
Brandon Dupont

Women are under represented in the information technology (IT) workforce. In the United States, although women make up about 45% of the overall labor force they make up only about 35% of the IT workforce. (Information Technology Association of America, 2003, p. 11). Within IT, women’s representation declines as one moves up to higher-level occupations. While women are relatively more numerous among data entry keyers and computer operators, they are relatively less likely to be found in high-level occupations like systems analysts and computer programmers. The relatively low representation of women in IT fields parallels a broader pattern of gender differentials in other scientific and technical fields. In all science, technology, engineering, and mathematics fields combined, women held 25.9% of jobs in 2003. Women’s representation varies widely by sub-fields, however; 65.8% of psychologists and 54.6% of social scientists are women, but only 10.4% of engineers, and 37.4% of natural scientists (Commission on Professionals in Science and Technology, 2004, p. 2). Over the course of the past 100 years, there has been a dramatic change in women’s economic role. In 1900, only one in five adult women worked outside the home, and most of these were young and unmarried (Goldin, 1990). Since then, male and female labor force participation rates have tended to converge. Between 1900 and 1950 there was a gradual expansion of women’s labor force participation. After World War II the pace of change accelerated sharply as more married women entered the labor force. During the 1960s and early 1970s a series of legal changes significantly broadened protection of women’s rights ending essentially all forms of overt discrimination (Fuchs, 1988; Long, 2001, p. 9-10). The removal of these barriers in combination with the availability of cheap and reliable birth control technology greatly facilitated the entry of women into higher education, and technical and professional positions (Goldin & Katz, 2002). Nevertheless, as the figures cited at the outset reveal, women’s participation in IT and other technical fields has not increased as rapidly as it has in less technical fields. And in striking contrast to the general trend toward increasing female participation in most areas of the workforce, women’s share of the IT workforce in the United States has actually declined over the past two decades. Any effort to explain gender differences in IT must begin with an understanding of how the number, characteristics, and pay of women in IT have evolved over time, and across different sub-fields within IT. This chapter provides a foundation for this analysis by documenting recent changes in the number of women employed in IT, their demographic characteristics, and relative pay.


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