Skilled and unskilled wage dynamics in Italy in the 1990s: changes in individual characteristics,institutions, trade and technology

In this paper, we use individual micro data on workers combined with industry and regional data to study the wage dynamics of skilled and unskilled workers in Italy in the 1991–1998 period. In contrast to previous empirical studies, our data make it possible to analyse, within a single framework, the role of many of the factors indicated in the literature as possible determinants of skilled and unskilled wage dynamics: changes in the individual characteristics of workers, changes in labour market institutions, increasing international integration, and skill‐biased technological progress. Our results show that international integration, both in terms of trade in goods and in terms of international labour mobility, plays a role in determining the wage dynamics of skilled (white‐collar) and unskilled (blue‐collar) workers. Moreover, in line with labour economics research, our findings show that the individual characteristics of workers and the institutional variables are more relevant in explaining skilled and unskilled wage dynamics than wage differentials.     

Capital-skill complementarity in West German manufacturing

Capital-skill complementarity is tested for two different definitions of skill, using data from 32 West German manufacturing industries from 1975–1990. Using the Kmenta approximation for the CES function provides strong support for complementarity between white collar workers and capital. On the other hand, when “skill” is defined as skilled white collar and blue collar workers, we find essentially no evidence for complementarity. This surprising result suggests that the official classification of skilled production workers does not capture the planning activity most complementary to increasing capital intensity and technological progress.     

The demand for skills and labour costs in partner countries

We analyse the consequences of trade integration in Europe (1995–2005) detecting how the labour costs in partner countries affect the domestic demand for high‐ and low‐skilled labour in ‘Old’ (EU‐15) and five ‘New’ EU member states. In general, independently of the skill level of workers, the results suggest complementarity between domestic and foreign labour. However, when we take into account the typology of sectors, the demand for the high skilled in low skill intensive sectors in ‘New’ EU members is boosted by the increase of the average labour cost in ‘Old’ EU members. Thus in low skill intensive sectors, the high skilled in ‘New’ member countries can substitute for employment in EU‐15 countries.     

Exporting firms and the demand for skilled tasks

This paper explores the link between exports and the demand for skilled tasks. Using the Chilean Encuesta Nacional Industrial Anual (ENIA), an annual census of manufacturing firms, we first show that Chilean exporters utilize more skills than Chilean non‐exporters. More importantly, we establish a distinct pattern of task differentiation among exporters both within skilled and unskilled tasks. Exporting firms demand the services of skilled specialized workers (engineers) as opposed to skilled administrative workers and managers. In addition, exporters demand less unskilled labour, especially blue‐collar operatives. This suggests that exporters substitute skilled engineers for unskilled blue‐collar workers to perform export‐related tasks.     

We Can Work It Out: The Impact of Technological Change on the Demand for Low-Skill Workers

There is little doubt that technology has had the most profound effect on altering the tasks that we humans do in our jobs. Economists have long speculated on how technical change affects both the absolute demand for labour as a whole and the relative demands for different types of labour. In recent years, the idea of skill‐biased technical change has become the consensus view about the current impact of technology on labour demand, namely that technical change leads to an increase in the demand for skilled relative to unskilled labour painting a bleak future for the employment prospects of less‐skilled workers. But, drawing on a recent paper by Autor, Levy and Murnane (2003) about the impact of technology on the demand for different types of skills, this paper argues that the demand in the least‐skilled jobs may be growing. But, it is argued that employment of the less‐skilled is increasingly dependent on physical proximity to the more‐skilled and may also be vulnerable in the long‐run to further technological developments.     

基于行业细分的我国制造业就业技能结构影响因素研究

技术进步对就业结构具有重要影响,其中技能偏态型技术进步对就业技能结构的影响尤为突出。本文选取2001—2010年间我国制造业29个细分行业的经济发展数据,分别考察了市场主导型FDI技术溢出、出口主导型FDI技术溢出、企业研发等因素对我国制造业就业技能结构的影响。研究结果表明,市场主导型FDI技术溢出仅对中低技术行业的就业技能结构具有负的影响,而出口主导型FDI带来的技术溢出对高技术行业和中低技术行业就业技能结构均有显著的正向作用。同时,企业规模的扩大和资本深化程度的增加将降低制造业高技术劳动力的占比,而企业自身研发投入的加强将明显提升制造业的就业技能结构。     

Capital–Skill Complementarity: Does Capital Composition Matter?

We estimate the effect of capital composition on the size of capital–skill complementarity and the skill wage premium. Disaggregating the capital stock into different types according to technological content, we find that: capital is more of a q‐complement to skilled labor than to unskilled labor; the higher the technological component of capital, the larger the size of the relative q‐complementarity between capital and skilled labor; and replacing non‐technological with technological capital might increase the skill wage premium by about 9 percent. Our results highlight that changes in capital composition matter for understanding changes in the skill wage premium.     

Industrial de-licensing, trade liberalization, and skill upgrading in India

We investigate the relationship between industrial de-licensing, trade liberalization, and skill upgrading during the 1980s and 1990s among manufacturing plants in India. We use a unique dataset on India's industrial licensing regime to test whether industrial de-licensing during the 1980s and 1990s played a role in skill upgrading, as measured by the employment and wagebill shares of white-collar workers. In addition, we assess the relative contribution of industrial de-licensing and trade liberalization to skill upgrading. We identify two main channels through which industrial de-licensing affects skill upgrading: capital- and output-skill complementarities. Using both difference-in-differences as well as regression discontinuity techniques, we find two important results. First, after controlling for the size-based exemption rule that determined whether or not a plant faced licensing restrictions, industrial de-licensing during the 1980s appears to have increased the relative demand for skilled workers via capital- and output-skill complementarities. Capital- and output-skill complementarities exist for plants in both licensed and de-licensed industries but were stronger in de-licensed industries during the 1980s, prior to India's massive trade liberalization reforms in 1991. Second, regardless of de-licensing, capital- and output-skill complementarities are generally weaker after trade was liberalized during the early 1990s. Together, capital- and output-skill complementarities contributed 75% (57%) and 31% (29%), respectively, of the growth in the employment and wagebill shares of white-collar workers in de-licensed (licensed) industries before trade was liberalized. After trade liberalization, these contributions were smaller. This suggests that trade liberalization may not have played a major role in raising the relative demand for skilled labor during the early 1990s.     

Industry estimates of the elasticity of substitution and the rate of biased technological change between skilled and unskilled labour

We estimate the elasticity of substitution between skilled and unskilled labour and the pace of skill-biased technological change at the industry level. The data is compiled from the March extract of the Current Population Survey (CPS) from 1968 to 2006. Industry information provided by the survey is used to group workers into 13 industry categories and education levels are used to dichotomize workers as skilled or unskilled. We construct measures of the ratio of skilled to unskilled employment and the ratio of skilled to unskilled wages in each industry. Using a relationship implied by profit maximizing behaviour on the part of representative firms, this data generates estimates of structural parameters. We find considerable differences across industries in the elasticity of substitution between skilled and unskilled labour. Furthermore, while most industries have experienced skill-biased technological change, the pace of this change has varied widely across industries.     

Trade and inequality in a directed search model with firm and worker heterogeneity

This paper integrates the insight that exporting firms are typically more productive and employ higher‐skilled workers into a directed search model of the labour market. The model generates a skill premium as well as residual wage inequality among identical workers. A trade liberalization increases the skill premium and likely increases residual inequality among high‐skilled workers. The calibrated model generates results consistent with the prior literature examining the effect of the Canada‐US Free Trade Agreement on the Canadian labour market: a significant decrease in employment in manufacturing, but only a small change in unemployment and wages.     

Foreign ownership wage premia in emerging economies

In this article we examine the relationship between wages, labour productivity and ownership using a linked employer–employee dataset covering a large fraction of the Czech labour market in 2006. We distinguish between different origins of ownership and study wage and productivity differences. The raw wage differential between foreign and domestically‐owned firms is about 23 percent. The empirical analysis is carried out on both firm‐ and individual‐level data. A key finding is that industry, region and notably human capital explain only a small part of the foreign–domestic ownership wage differential. Both white and blue collar workers as well as skilled and unskilled employees obtain a foreign ownership wage premium. Foreign ownership premia are more prevalent in older and less technologically advanced firms. Joint estimation of productivity and wage equations show that, controlling for human capital, the difference in productivity is about twice as large as the wage differential. Overall, results indicate that the international firms share their rents with their employees.     

The impact of production offshoring on the skill composition of manufacturing firms: evidence from Italy

In this work we explore how the international outsourcing of production impacts the skill composition of employment within Italian manufacturing firms. In particular, our aim is to assess whether the choice to offshore production activities to cheap‐labour countries implies a bias in the employment of skilled workers relative to unskilled ones.

Using a balanced panel of firms covering the period 1995–2003, we set up a counterfactual analysis in which, by using a difference‐in‐differences propensity score matching estimator, we compare the dynamics of skill demand for treated and control firms while addressing the possible problem of selection bias.

Our results identify a ‘potential’ skill bias effect of production offshoring. In particular, we find that treated firms tend to show an upward shift in the skill ratio with respect to the counterfactual sample, but coefficients are not significantly different from zero. When we look at the elements of the skill ratio separately, we find that the skill bias is driven by a fall in the employment of production workers (blue collars), rather than by the increase in the employment of non‐production workers (white collars), thus providing further evidence on the unskilled labour‐saving nature of international outsourcing.     

Why has unemployment risen in the New South Africa?1

We document the rise in unemployment in South Africa since the transition in 1994. We describe how changes in labour supply interacted with stagnant labour demand to produce unemployment rates that peaked between 2001 and 2003. Meanwhile, compositional changes in employment at the sectoral level widened the gap between the skill‐level of the employed and the unemployed. Using nationally representative panel data, we show that stable unemployment rates mask high individual‐level transition rates in labour market status. Our analysis highlights several key constraints to addressing unemployment in South Africa. We conclude that unemployment is near equilibrium levels and is unlikely to self‐correct without policy intervention.     

Organisational change, technology, employment and skills: an empirical study of French manufacturing

This paper analyses the correlations between technological change,organisational change and skill change using a survey on organisationalchange in manufacturing firms conducted in 1993. Considerablediversity is allowed for in terms of the measure of technologicaland organisational change, and the analysis shows a positivecorrelation between technological change and reorganisations,whatever their types. The paper then analyses the relationshipsbetween these changes and the employment behaviour of firms.It shows that changes in the required skills and in the occupationalstructure of firms are more closely connected to organisationalthan to technological change. Although organisational changeaffects the work content and skill requirements of blue collarworkers, it is mainly indirect workers that are affected interms of the number employed. Finally, the analysis shows thattechnology tends to stabilise the workforce whereas the movetowards the model of ‘flexible enterprise’ favoursits renewal.     

Skilled–unskilled wage inequality,nontraded good and endogenous supply of skilled labour: A theoretical analysis

The paper develops a static four sector competitive general equilibrium model of a small open economy in which skilled labour is endogenously produced by the education sector and is mobile between a traded good sector and a nontraded good sector. Capital is also perfectly mobile among the education sector, skilled labour using traded good sector and the nontraded good sector. However, land and unskilled labour are specific to another traded good sector. We analyse the effects of change in different factor endowments and reduction in tariff rate on skilled–unskilled wage inequality. We find that the effect of a change in different parameters on wage inequality depends on the factor intensity ranking between two skilled labour using sectors and on the relative strength of the marginal effects on demand for and supply of nontraded final good. We also analyse the effects of changes in different parameters on the supply of skilled labour.     

Why did wage inequality increase? Evidence from urban India 1983–99

Since the start of the economic reform in 1991, there have been serious concerns regarding the increasing income inequality in India. However, no studies have analyzed how and why the inequality has been accelerated. This study aims to fill these knowledge gaps. The main findings are: (1) The wage inequality in urban India started increasing before 1991; (2) The increase in the wage inequality was mainly attributable to increases in the returns to skills; (3) The accelerating skill premium was due to increases in the demand for skilled labor. The demand shift is attributed to skill-biased technological changes within industries.     

Stick,Carrot and Skill Acquisition*

We evaluate the impact of specially designed youth unemployment programmes (YUPs), intended to provide young unemployed unskilled workers with skills. If unemployment among skilled workers is lower than among unskilled workers, YUPs imply that unemployment falls. However, YUPs potentially crowd out ordinary training. We set up an equilibrium matching model with endogenous skill choice and examine the impact of an increase in programme participation. We derive a condition for crowding out of ordinary training, as well as a condition for an increase in the skilled labour force and thereby reduced unemployment. The impact of YUPs on welfare and wage dispersion is also considered.     

Leaving state sector employment in Russia

I analyse the reallocation of labour and human capital from the state sector to the non‐state sector and non‐employment in Russia. I use a nationally representative household dataset, the Russian Longitudinal Monitoring Survey, to study sectoral mobility in early transition using summary measures of mobility and multivariate discrete choice models. The results show that sectoral mobility varies between different skill groups, and in particular that those with university education, with supervisory responsibility and in white‐collar occupations are less likely to leave state jobs for both non‐state employment and non‐employment. The results suggest that in the early stages of transition in Russia mismatch of skills across state/non‐state employment was significant and that non‐state employment consisted mostly of low skill, ‘bad’ jobs.     

Employment Protection Versus Flexicurity: On Technology Adoption in Unionised Firms*

We analyse how different labour‐market institutions – employment protection versus ‘flexicurity’– affect technology adoption in unionised firms. We consider trade unions’ incentives to oppose or endorse labour‐saving technology and firms’ incentives to invest in such technology. Increased flexicurity – interpreted as less employment protection and a higher reservation wage for workers – unambiguously increases firms’ incentives for technology adoption. If unions have some direct influence on technology, a higher reservation wage also makes unions more willing to accept technological change. Less employment protection has the opposite effect, as this increases the downside (job losses) of labour‐saving technology.     

IT‐Based Technical Change and Job Instability

We investigate the impact of IT diffusion on the stability of employment. We document the evolution of different components of job instability over a panel of 348 cities in France, from the mid‐1970s to the early 2000s. The evidence goes against the view that the diffusion of IT has spurred job instability. Yet, analysing long‐term differences in the occupational structure, we find that IT diffusion has increased the share of high‐skill occupations at the expense of low‐skill occupations. This is consistent with French firms' reliance on their internal labour market to meet the new skill requirements associated with IT diffusion.