Earnings Instability and Earnings Inequality of Males in the United States: 1967–1991

By Steven J. Haider. Journal of Labor Economics, 2001

395 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/a80d34c7fc545bbe6461c23784b1ab77f3787678

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Citations in the corpus

Sociological Explanations of Changing Income Distributions (2007, background): “A number of U.S. studies examine this using more truncated “lifetime” income distributions (Aaronson, 2002; Bowlus & Robin, 2003; Gittleman & Joyce, 1999; Haider, 2001).”
Estimates of Year-to-Year Volatility in Earnings and in Household Incomes from Administrative, Survey, and Matched Data (2011, background): “Gottschalk and Moffitt (1994) and Haider (2001), for example, use the PSID and find that both the per- 752 The Journal of Human Resources manent and transitory components of male earnings volatility increased between the 1970s and 1980s but were flat thereafter (through the early 1990s).”
Chapter 1 Post Schooling Wage Growth: Investment, Search and Learning (2006, background): “24Baker (1997) and Haider (2001) report a negative correlation between individual slopes and intercepts that evaluates the individuals deviation from the mean at zero experience.”
Decomposing Trends in Income Volatility: The 'Wild Ride' at the Top and Bottom (2014, background): “The initial interest in volatility among labor economists focused on earnings of male heads of household in an effort to better understand whether the rise in wage inequality represented temporary shifts or structural changes in the labor market (Gottschalk and Moffitt 1994; Haider 2001).”
Understanding Earnings Instability: How Important are Employment Fluctuations and Job Changes? (2009, neutral): “They and other papers which followed (for example Haider (2001) and Cameron and Tracy (1998)) roughly reached the following conclusion: earnings instability increased dramatically during the 1970s and reached a peak during the 1982 recession but since that period has declined to the late 1970s…”
What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk? (2015, neutral): “30This figure is on the high end of earlier estimates; see, for example, Haider (2001), Storesletten et al. (2004), and Heathcote et al. (2010).”
Identifying distributional characteristics in random coefficients panel data models (2009, methodology): “Now, combining (39) and (40) we obtain:”