In this paper, we undertake empirical analysis to understand U.S. wage behavior since the beginning of the new millennium. At the macroeconomic level, we find that a productivity-augmented Phillips curve model explains the data fairly well. The model reveals that the upward pressure on wage growth from recent tightening in the labor market has been dampened by a persistent decline in trend labor productivity growth and the share of income that accrues to labor. These themes are reinforced and complemented at the micro-economic level. Lower regional unemployment puts an upward pressure on wages of individuals, although this effect has become weaker since 2008. But there is downward pressure on wages for individuals with occupations that are exposed to automation and offshoring, and in industries with a higher concentration of large firms. All these factors appear to play a role illustrating why it is difficult to single out any one culprit for the observed wage growth moderation.

This paper explores time variation in the dynamic effects of technology shocks on U.S. output, prices, interest rates as well as real and nominal wages. The results indicate considerable time variation in U.S. wage dynamics that can be linked to the monetary policy regime. Before and after the "Great Inflation", nominal wages moved in the same direction as the (required) adjustment of real wages, and in the opposite direction of the price response. During the "Great Inflation", technology shocks in contrast triggered wage-price spirals, moving nominal wages and prices in the same direction at longer horizons, thus counteracting the required adjustment of real wages, amplifying the ultimate repercussions on prices and hence increasing inflation volatility. Using a standard DSGE model, we show that these stylized facts, in particular the estimated magnitudes, can only be explained by assuming a high degree of wage indexation in conjunction with a weak reaction of monetary policy to inflation during the "Great Inflation", and low indexation together with aggressive inflation stabilization of monetary policy before and after this period. This means that the monetary policy regime is not only captured by the parameters of the monetary policy rule, but importantly also by the degree of wage indexation and resultant second round effects in the labor market. Accordingly, the degree of wage indexation is not structural in the sense of Lucas (1976).

We investigate heterogeneous effects of new digital technologies on the individual-level employment- and wage dynamics in the U.S. labor market in the period from 2011-2018. We employ three measures that reflect different aspects of impacts of new digital technologies on occupations. The first measure, as developed by Frey and Osborne (2017), assesses the computerization risk of occupations, the second measure, developed by Felten et al. (2018), provides an estimate of recent advances in artificial intelligence (AI), and the third measure assesses the suitability of occupations for machine learning (Brynjolfsson et al., 2018), which is a subfield of AI. Our empirical analysis is based on large representative panel data, the matched monthly Current Population Survey (CPS) and its Annual Social and Economic Supplement (ASEC). The results suggest that the effects of new digital technologies on employment stability and wage growth are already observable at the individual level. High computerization risk is associated with a high likelihood of switching one's occupation or becoming non-employed, as well as a decrease in wage growth. However, advances in AI are likely to improve an individual's job stability and wage growth. We further document that the effects are heterogeneous. In particular, individuals with high levels of formal education and older workers are most affected by new digital technologies.

U.S. macroeconomic evidence shows a negative relation between the rate of change of wages and unemployment. In contrast, most theories of wage determination imply a negative relation between the level of wages and unemployment. In this paper, we ask whether one can reconcile the empirical evidence with theoretical wage relations. We reach three main conclusions. First, we derive the condition under which the two can indeed be reconciled. We show the constraints that such a condition imposes on the determinants of workers' reservation wages as well as the relative importance of workers' outside options as opposed to match specific productivity in wage determination. Second, in the light of this condition, we reinterpret the presence of an "error correction" term in macroeconomic wage relations for most European economies but not in the United States. Third, we show that whether this condition holds or not has important implications for the effects of a number of variables -- from real interest rates to oil prices to payroll taxes -- on the natural rate of unemployment