This paper investigates how the sector-specific source or the changing sectoral composition of labor productivity has contributed to β-convergence, using a newly constructed eightsector database. The main findings are twofold. First, both within and sectoral reallocation have become important...

Changes in the supply of low-skill labor may affect robot adoption by firms. We test this hypothesis by exploiting an exogenous increase in the local labor supply induced by a large influx of immigrants into Danish municipalities. Using the Danish employer-employee matched dataset over the...

Recently, how to enhance the employability of the workforce and the quality of the environment becomes the focus of attention from all sectors of society in China. Providing diversified jobs for workers and achieving green urban development are important goals of China's new-type urbanization...

Using novel data on value added in Switzerland we propose to use a growth rate decomposition technique, in the spirit of shift-share analysis, to analyze the patterns of regional competitiveness over the 2011-2015 period. The growth differential of a region (or canton) depends on four terms,...

We address the effects of wages on employment growth on the basis of a theoretical model from which cost and demand effects can be derived. In the empirical analysis we take a highly disaggregated perspective and apply a newly developed shift-share regression technique on an exhaustive and very...

Regional growth of any particular employment sector is influenced by economic and industrial structure of nation and region. Shift Share analysis determines the degree of influence of national development and regional and local factors on overall regional employment growth. It is argued that in...

Many economic studies use shift-share instruments to estimate causal effects. Often, all shares need to fulfill an exclusion restriction, making the identifying assumption strict. This paper proposes to use methods that relax the exclusion restriction by selecting invalid shares. I apply the...

Bartik's (1991, 1993) approach to identifying shocks in demand to regional economies has been used extensively for nearly thirty years. We chronicle the development of Bartik-type shift-share instruments and examine the empirical performance of alternative versions that use different...

The services sector is composed of a diverse range of services from retail and business services to education and health. Some services are used as inputs in production, while others have direct impacts on human capital development. In the Philippines, services account for 60 percent of GDP and...

Based on administrative data from Norway, we explore the "grey area" between the roles of unemployment- and temporary disability-insurances by examining how participation in these two program types is affected by local labor demand conditions. Local labor demand is identified by means of a...

We argue that recoveries from demand-driven recessions with expenditure cuts concentrated in services or non-durables will tend to be weaker than recoveries from recessions more biased towards durables. Intuitively, the smaller the bias towards more durable goods, the less the recovery is...

We define high cost lenders as lenders that issue a disproportionate number of high cost loans. We develop a shift-share measure to capture the market representation of these high cost lenders in housing submarkets. After conditioning on housing submarket fixed effects, origination year fixed...

We study inference in shift-share regression designs, such as when a regional outcome is regressed on a weighted average of observed sectoral shocks, using regional sector shares as weights. We conduct a placebo exercise in which we estimate the effect of a shift-share regressor constructed with...

Many studies use shift-share (or "Bartik") instruments, which average a set of shocks with exposure share weights. We provide a new econometric framework for such designs in which identification follows from the quasi-random assignment of shocks, allowing exposure shares to be endogenous. This...

A large literature exploits geographic variation in the concentration of immigrants to identify their impact on a variety of outcomes. To address the endogeneity of immigrants' location choices, the most commonly-used instrument interacts national inflows by country of origin with immigrants'...

A large literature exploits geographic variation in the concentration of immigrants to identify their impact on a variety of outcomes. To address the endogeneity of immigrants' location choices, the most commonly-used instrument interacts national inflows by country of origin with immigrants'...

This paper aims to evaluate whether schools with better National Exams scores are located in regions NUTs III with greater purchasing power. Accordingly, we analyze the evolution of the ranking of schools in light of the purchasing power of the regions where they are located. Using data...

A large literature exploits geographic variation in the concentration of immigrants to identify their impact on a variety of outcomes. To address the endogeneity of immigrants' location choices, the most commonly-used instrument interacts national inflows by country of origin with immigrants'...

A large literature exploits geographic variation in the concentration of immigrants to identify their impact on a variety of outcomes. To address the endogeneity of immigrants' location choices, the most commonly-used instrument interacts national inflows by country of origin with immigrants'...

Many studies use shift-share (or “Bartik”) instruments, which average a set of shocks with exposure share weights. We provide a new econometric framework for shift-share instrumental variable (SSIV) regressions in which identification follows from the quasi-random assignment of shocks, while...

We study inference in shift-share regression designs, such as when a regional outcome is regressed on a weighted average of observed sectoral shocks, using regional sector shares as weights. We conduct a placebo exercise in which we estimate the effect of a shift-share regressor constructed with...

We study inference in shift-share regression designs, such as when a regional outcome is regressed on a weighted average of observed sectoral shocks, using regional sector shares as weights. We conduct a placebo exercise in which we estimate the effect of a shift-share regressor constructed with...