Explore the vast range of titles available.

We show that skill requirements in job vacancy postings differentially increased in MSAs that were hit hard by the Great Recession, relative to less hard-hit areas. These increases persist through at least the end of 2015 and are correlated with increases in capital investments, both at the MSA and firm levels. We also find that effects are most pronounced in routine-cognitive occupations, which exhibit relative wage growth as well. We argue that this evidence is consistent with the restructuring of production toward routine- biased technologies and the more-skilled workers that complement them, and that the Great Recession accelerated this process.

We use administrative records on the incomes of more than 40 million children and their parents to describe three features of intergenerational mobility in the United States. First, we characterize the joint distribution of parent and child income at the national level. The conditional expectation of child income given parent income is linear in percentile ranks. On average, a 10 percentile increase in parent income is associated with a 3.4 percentile increase in a child’s income. Second, intergenerational mobility varies substantially across areas within the United States. For example, the probability that a child reaches the top quintile of the national income distribution starting from a family in the bottom quintile is 4.4% in Charlotte but 12.9% in San Jose. Third, we explore the factors correlated with upward mobility. High mobility areas have (i) less residential segregation, (ii) less income inequality, (iii) better primary schools, (iv) greater social capital, and (v) greater family stability. Although our descriptive analysis does not identify the causal mechanisms that determine upward mobility, the publicly available statistics on intergenerational mobility developed here can facilitate research on such mechanisms.

We investigate the determinants of regional development using a newly constructed database of 1,569 subnational regions from 110 countries covering 74% of the world’s surface and 97% of its GDP. We combine the cross-regional analysis of geographic, institutional, cultural, and human capital determinants of regional development with an examination of productivity in several thousand establishments located in these regions. To organize the discussion, we present a new model of regional development that introduces into a standard migration framework elements of both the Lucas (1978) model of the allocation of talent between entrepreneurship and work, and the Lucas (1988) model of human capital externalities. The evidence points to the paramount importance of human capital in accounting for regional differences in development, but also suggests from model estimation and calibration that entrepreneurial inputs and possibly human capital externalities help understand the data.

We classify the empirical literature on the wage impact of immigration into three groups, where studies in the first two groups estimate different relative effects, and studies in the third group estimate the total effect of immigration on wages. We interpret the estimates obtained from the different approaches through the lens of the canonical model to demonstrate that they are not comparable. We then relax two key assumptions in this literature, allowing for inelastic and heterogeneous labor supply elasticities of natives and the \"downgrading\" of immigrants. \"Downgrading\" occurs when the position of immigrants in the labor market is systematically lower than the position of natives with the same observed education and experience levels. Downgrading means that immigrants receive lower returns to the same measured skills than natives when these skills are acquired in their country of origin. We show that heterogeneous labor supply elasticities, if ignored, may complicate the interpretation of wage estimates, and particularly the interpretation of relative wage effects. Moreover, downgrading may lead to biased estimates in those approaches that estimate relative effects of immigration, but not in approaches that estimate total effects. We conclude that empirical models that estimate total effects not only answer important policy questions, but are also more robust to alternative assumptions than models that estimate relative effects.

While nominal wage differences between skilled and unskilled workers have increased since 1980, college graduates have experienced larger increases in cost of living because they have increasingly concentrated in cities with high cost of housing. Using a cityspecific CPI, I find that real wage differences between college and high school graduates have grown significantly less than nominal differences. Changes in the geographical location of different skill groups are to a significant degree driven by city-specific shifts in relative demand. I conclude that the increase in utility differences between skilled and unskilled workers since 1980 is smaller than previously thought based on nominal wage differences.

Over the past thirty years, U.S. manufacturing plants invested heavily in automation machinery. This paper shows these investments substituted for the least-skilled workers and complemented middle-skilled workers at equipment and fabricated metal plants. Specifically, it exploits the fact that some metropolitan areas experienced faster growth in the relative supply of less-skilled labor in the 1980s and 1990s due to an immigration wave and the tendency of immigrants to regionally cluster. Plants in these areas adopted significantly less machinery per unit output, despite having similar adoption plans initially. The results imply that fixed rental rates for automation machinery reduce the effect that immigration has on less-skilled relative wages.

This article casts light on the increasingly complex geography of innovation and knowledge sourcing activities. We argue that the spatial patterns of learning and knowledge exchange vary substantially across different types of regions and industries. The article elucidates such variations by combining three analytical approaches, namely, (i) modes of innovation (differentiating between science-technology-innovation (STI) and doing-using-interacting (DUI) modes), (ii) regional innovation systems (distinguishing between organizationally thick and diversified, thick and specialized, and thin systems), and (iii) types of knowledge linkages that connect actors during the innovation process. We explore in detail the key characteristics of the spatial architectures of innovation and knowledge flows in STI and DUI industries located in regional innovation systems with varying degrees of organizational thickness and specialization. We also discuss empirical examples documented in the extant literature to illustrate our arguments on how innovation and knowledge circulation unfold in space in various territorial and industrial contexts.

This article reports on household survey measurements of the “offshorability” of jobs, defined as the ability to perform the work from abroad. We develop multiple measures of offshorability, using both self-reporting and professional coders. All measures find that roughly 25% of US jobs are offshorable. Our three preferred measures agree between 70% and 80% of the time. Professional coders appear to provide the most accurate assessments. Empirically, more educated workers appear to hold somewhat more offshorable jobs, and offshorability does not have systematic effects on either wages or the probability of layoff.

The literature on spatial mismatch often focuses on a mismatch within cities or local labour markets. This paper looks at the spatial mismatch between local labour markets. Using US data, we study the evolution of inter-regional mismatch between 1980 and 2010 and how this evolution varies across skill levels. Since we expect the spatial structure of supply and demand in the labour market to play a central role at this geographical level, we develop an extension of the spatial mismatch index, as the standard version does not take this spatial structure into account. Our results indicate that spatial mismatch has been increasing over the past decades, an increase that is largely attributable to spatial structure effects. The inter-regional spatial mismatch mainly affects low-skilled jobs and workers: our findings suggest that the degree of the spatial mismatch for low-skilled, relative to high-skilled workers, increased from a ratio of two in 1980 to almost four in 2010. 关于空间不匹配的文献往往侧重于城市或当地劳动力市场的不匹配。本文着眼于当地劳动力市场之间的空间不匹配。使用美国数据，我们研究了1980年至2010年间地区间不匹配的演变以及这种演变在不同技能水平上的变化。由于我们期望劳动力市场中供需的空间结构在这一地理层面发挥核心作用，因此我们开发了空间不匹配指数的扩展，因为标准版本的指数没有考虑这种空间结构。我们的研究结果表明，空间不匹配在过去几十年中一直在增加，这主要归因于空间结构效应。区域间空间不匹配主要影响低技能工作和工人：我们的研究结果表明，相对于高技能工人，低技能工人的空间不匹配程度比率从1980年的二增加到2010年的接近四。

In this paper, we decompose city size wage premia into various components. We base these decompositions on an estimated on-the-job search model that incorporates latent ability, search frictions, firm-worker match quality, human capital accumulation, and endogenous migration between large, medium, and small cities. Counterfactual simulations of the model indicate that variation in returns to experience and differences in wage intercepts across location type are the most important mechanisms contributing to observed city size wage premia. Variation in returns to experience is more important for generating wage premia between large and small locations, while differences in wage intercepts are more important for generating wage premia between medium and small locations. Sorting on unobserved ability within education group and differences in labour market search frictions and distributions of firmworker match quality contribute little to observed city size wage premia. These conclusions hold for separate samples of high school and college graduates.