The accumulation of the human capital stock plays a key role to explain the macroeconomic performance across regions. However, despite the strong theoretical support for this claim, empirical evidence has been not very convincing, probably because of the low quality of the data. This paper...

We use a novel approach to studying the heterogeneity in the job finding rates of the nonemployed by classifying the nonemployed by labor force status (LFS) histories, instead of using only one-month LFS. Job finding rates differ substantially across LFS histories: they are 25-30% among those...

We describe new experimental productivity statistics, Dispersion Statistics on Productivity (DiSP), jointly developed and published by the Bureau of Labor Statistics (BLS) and the Census Bureau. Official BLS productivity statistics provide information on aggregate productivity growth. Yet, a...

We argue that using wage data alone, it is virtually impossible to identify whether Assortative Matching between worker and firm types is positive or negative. In standard competitive matching models the wages are determined by the marginal contribution of a worker, and the marginal contribution...

We provide a critique of the standard methodology which bases welfare comparisons between households on deflating household income and consumption by an equivalence scale. We argue that this leads to support for tax/transfer policies that significantly disadvantage low to middle income...

We propose the so-called domestic "embodied unit labor costs" (EULC) at the country-sector level as a new cost-related basis for measures of international competitiveness. EULC take into account that a sector's labor costs constitute only a small share of its total cost which to a large extent...

This paper presents a simple conceptual framework specifically tailored to measure individual perceptions of wage inequality. Using internationally comparable survey data, the empirical part of the paper documents that there is huge variation in inequality perceptions both across and within...