A Quantitative Analysis of the Evolution of the US Wage Distribution 1970-2000

Working Paper: NBER ID: w13095

Authors: Fatih Guvenen; Burhanettin Kuruscu

Abstract: In this paper, we construct a parsimonious overlapping-generations model of human capital accumulation and study its quantitative implications for the evolution of the U.S. wage distribution from 1970 to 2000. A key feature of the model is that individuals differ in their ability to accumulate human capital, which is the main source of wage inequality in this model. We examine the response of this model to skill-biased technical change (SBTC), which is modeled as an increase in the trend growth rate of the price of human capital starting in the early 1970s. The model displays behavior that is consistent with several important trends observed in the US data, including the rise in overall wage inequality; the fall and subsequent rise in the college premium, as well as the fact that this behavior was most pronounced for younger workers; the rise in within-group inequality; the stagnation in median wage growth; and the small rise in consumption inequality despite the large rise in wage inequality. We consider different scenarios regarding how individuals' expectations evolve during SBTC. Specifically, we study the case where individuals immediately realize the advent of SBTC (perfect foresight), and the case where they initially underestimate the future growth of the price of human capital (pessimistic priors), but learn the truth in a Bayesian fashion over time. Lack of perfect foresight appears to have little effect on the main results of the paper. Overall, the model shows promise for explaining a diverse set of wage distribution trends observed since the 1970s in a unifying human capital framework.

Keywords: No keywords provided

JEL Codes: E21; E25; J24; J31


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
skill-biased technical change (SBTC) (J24)rise in overall wage inequality (J31)
skill-biased technical change (SBTC) (J24)rise in within-group inequality (D31)
human capital investment (J24)wage growth (J31)
human capital investment (J24)wage inequality (J31)
skill-biased technical change (SBTC) (J24)changes in college premium (D29)
differential investment responses among younger workers (J29)college premium decline (I21)
college premium decline (I21)subsequent rise in college premium (D29)
human capital investment dynamics (J24)stagnation in median wage growth (J39)
human capital investment dynamics (J24)small rise in consumption inequality (F62)

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