Testing Convergence in Income Distribution*

The generalized method of moments (GMM) estimator is often used to test for convergence in income distribution in a dynamic panel set‐up. We argue that though consistent, the GMM estimator utilizes the sample observations inefficiently. We propose a simple ordinary least squares (OLS) estimator with more efficient use of sample information. Our Monte Carlo study shows that the GMM estimator can be very imprecise and severely biased in finite samples. In contrast, the OLS estimator overcomes these shortcomings.     

Twin Data vs. Longitudinal Data to Control for Unobserved Variables in Earnings Functions – Which Are the Differences?*

This paper compares two different approaches empirically to control for unobserved characteristics when estimating the effect of marriage on male and female earnings: the longitudinal and the twins approach. The estimates were obtained by exploiting the longitudinal dimension of a large sample of Swedish twins, so that longitudinal and twin‐based estimates could be obtained in the same sample. The two approaches lead to different conclusions both regarding the role of unobserved characteristics in the cross‐sectional earnings–marriage relationship and the effect of marriage on earnings. The paper investigates three potential explanations of this difference.     

The Impact of Training on Productivity and Wages: Evidence from British Panel Data*

It is standard in the literature on training to use wages as a sufficient statistic for productivity. This paper examines the effects of work‐related training on direct measures of productivity. Using a new panel of British industries 1983–96 and a variety of estimation techniques we find that work‐related training is associated with significantly higher productivity. A 1% point increase in training is associated with an increase in value added per hour of about 0.6% and an increase in hourly wages of about 0.3%. We also show evidence using individual‐level data sets that is suggestive of training externalities.     

Parental Divorce and Students’ Performance: Evidence from Longitudinal Data*

In this article, we analysed data from the National Education Longitudinal Study to investigate whether experiencing parental divorce during adolescence had an adverse impact on students’ performance on standardized tests. To account for the potential endogeneity of parental divorce we employed double and triple difference models that rely on observing teenagers from intact and divorced backgrounds before and after the divorce occurs. We found that parental divorce does not negatively affect teenagers’ cognitive skills. Our results also suggest that cross‐sectional estimates overstate the detrimental effect of parental divorce.     

Inter‐industry Wage Differences and Individual Heterogeneity*

Two well‐established findings are apparent in the analyses of individual wage determination: cross‐section wage equations can account for less than half of the variance in earnings and there are large and persistent inter‐industry wage differentials. We explore these two empirical regularities using longitudinal data from the British Household Panel Survey (BHPS). We show that around 90% of the variation in earnings can be explained by observed and unobserved individual characteristics. However, small – but statistically significant – industry wage premia do remain, and there is also a role for a rich set of job and workplace controls.     

On Lumpiness in the Replacement and Expansion of Capital*

We estimate a model of homogeneous capital investment with two installation possibilities – replacement and expansion using observations at the establishment level. We find that regime switches identified by ad hoc measures of lumpy investment do not adequately distinguish expansionary from replacement activities. In fact, during periods of expansion, firms spend just as much on replacement capital. Also, using the common 20% rule would not assign a spike to almost 65% of all observations that include expansionary investment in this dataset. Finally, replacement although less responsive to fundamentals than expansions cannot be regarded as an autonomous part of investment.     

On the Applicability of the Sieve Bootstrap in Time Series Panels*

In this article, we investigate the validity of the univariate autoregressive sieve bootstrap applied to time series panels characterized by general forms of cross‐sectional dependence, including but not restricted to cointegration. Using the final equations approach we show that while it is possible to write such a panel as a collection of infinite order autoregressive equations, the innovations of these equations are not vector white noise. This causes the univariate autoregressive sieve bootstrap to be invalid in such panels. We illustrate this result with a small numerical example using a simple DGP for which the sieve bootstrap is invalid, and show that the extent of the invalidity depends on the value of specific parameters. We also show that Monte Carlo simulations in small samples can be misleading about the validity of the univariate autoregressive sieve bootstrap. The results in this article serve as a warning about the practical use of the autoregressive sieve bootstrap in panels where cross‐sectional dependence of general form may be present.     

Occupational Labour Demand and the Sources of Non‐neutral Technical Change*

This article introduces a two‐step empirical approach for examining both the nature and sources of non‐neutral technical change across multiple occupations. First, conventional labour‐demand parameter estimates and unbiased tests for neutrality are obtained in the context of a flexible cost system. The resulting input‐specific indices of technical change, unconstrained with respect to time path, facilitate subsequent evaluation of proposed sources. In our application to employment decisions of airline firms, we find labour‐saving technical change that is non‐neutral across occupations. We also document occupation‐specific responses to aircraft technology adoption, route system developments and an unprecedented range of technical change elements.

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Temporary Help Agencies and Occupational Mobility*

This paper analyses the effects of Temporary Help Agencies (THA) on occupational mobility by performing an empirical comparison of the job‐to‐job upgrading chances of agency and regular (non‐agency) workers in Spain. We estimate a switching regression model to allow for self‐selection into agency work because of, for instance, more motivated workers being more likely to search for jobs through a THA. We find evidence in favour of the existence of self‐selection in all qualification groups considered. Concerning mobility, we find that agency workers in intermediate qualification levels are less likely to experience demotions than regular workers. THA increase the probability of high‐skilled workers achieving a permanent contract in Spain.     

Impacts of Prime‐age Adult Mortality on Labour Supply: Evidence from Adolescents and Women in South Africa*

This paper examines the impact of prime‐age adult mortality on the transition made by adolescents from school to the labour market and on female adult labour force participation decisions in South Africa. We find, first, that deaths of prime‐age adults significantly increase both male and female adolescents’ labour force participation as they stop their schooling. Secondly, the death of prime‐age adults in general also decreases school enrolment ex ante. Thirdly, female adults tend to join the labour force following the death of prime‐age adult males. These findings imply that prime‐age adult mortality increases labour supply and disrupts human capital formation.     

Disentangling Age,Cohort and Time Effects in the Additive Model*

This paper presents a new approach to the old problem of linear dependency of age, cohort and time effects. It is shown that second differences of the effects can be estimated without any normalization restrictions, providing information on the shape of the age‐, cohort‐ and time‐effect profiles, and enabling identification of structural breaks. A Wald test is provided to test the popular linear and quadratic specifications against a very general alternative. The method is illustrated through examples which show its ability to detect structural breaks in time effects as a result of the Mexican peso crisis, and to determine whether the age‐effect profile in the variance of Taiwanese log consumption is concave or convex.     

Profit Sharing and Training*

We analyze the impact of profit sharing on training intensity. Profit sharing may affect training because it is a credible commitment by firms to reward firm‐specific skills, may reduce turnover and leads to peer group pressure to participate in training courses. To eliminate possible selectivity effects, we combine matching with difference‐in‐differences. We identify the proportion of employees participating in profits and differentiate profit sharing according to the percentage of the workers covered. Using German establishment data we find that profit sharing only has a significant effect on training intensity if the majority of the workforce benefits from it.     

A Non‐parametric Examination of Capital–Skill Complementarity*

This paper uses non‐parametric kernel methods to construct observation‐specific elasticities of substitution for a balanced panel of 73 developed and developing countries to examine the capital–skill complementarity hypothesis. The exercise shows some support for capital–skill complementarity, but the strength of the evidence depends upon the definition of skilled labour and the elasticity of substitution measure being used. The added flexibility of the non‐parametric procedure is also capable of uncover ing that the elasticities of substitution vary across countries, groups of countries and time periods.     

New Insights into Unemployment Duration and Post Unemployment Earnings in Germany*

Building on non‐stationary search theory ( Mortensen, 1977 ; Van den Berg, 1990 ), this article estimates the effects of UB on unemployment durations and future earnings using unique administrative data in Germany. We apply censored Box–Cox quantile regression. Our results imply that the length of entitlement shows only a weak effect on unemployment duration for entitlement lengths up to 12 months and no effect on post unemployment earnings. There are noticeable effects on exits from unemployment for entitlement lengths above 12 months. A high wage replacement rate for low‐wage earners is associated with a longer duration of unemployment and higher post unemployment earnings.     

The age-productivity gradient: Evidence from a sample of F1 drivers

Estimating the effect of aging on productivity requires clean measures of productivity. Additionally, one needs to control for unobserved heterogeneity at the worker, firm and worker/firm level, to account for the role of experience and to correct for selection bias. We tackle these issues exploiting a panel of Gran Prix Formula One drivers, which provides a unique setting to single out the data requirements needed to credibly estimate the effect of age on productivity. Results robust to the inclusion of worker, firm and match effects show that the age-productivity link has an inverted U-shape profile with a peak at the age of 30-32. The use of repeated cross-sections of individuals also produces consistent results provided that cohort effects are properly accounted for. Relying on team-average measures of productivity makes instead inference harder.     

On Testing Conditional Sigma – Convergence*

In a cross‐section where the initial distribution of observations differs from the steady‐state distribution and initial values matter, convergence is best measured in terms of σ‐convergence over a fixed time period. For this setting, we propose a new simple Wald test for conditional σ‐convergence. According to our Monte Carlo simulations, this test performs well and its power is comparable with the available tests of unconditional convergence. We apply two versions of the test to conditional convergence in the size of European manufacturing firms. The null hypothesis of no convergence is rejected for all country groups, most single economies, and for younger firms of our sample of 49,646 firms.     

Determinants and Dynamics of Current Account Reversals: An Empirical Analysis

We use panel probit models with unobserved heterogeneity, state dependence and serially correlated errors in order to analyse the determinants and the dynamics of current account reversals for a panel of developing and emerging countries. The likelihood‐based inference of these models requires high‐dimensional integration for which we use efficient importance sampling. Our results suggest that current account balance, terms of trades, foreign reserves and concessional debt are important determinants of current account reversal. Furthermore, we find strong evidence for serial dependence in the occurrence of reversals. While the likelihood criterion suggest that state dependence and serially correlated errors are essentially observationally equivalent, measures of predictive performance provide support for the hypothesis that the serial dependence is mainly due to serially correlated country‐specific shocks related to local political or macroeconomic events.     

ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers*

The adoption of information and communication technology (ICT) can have far‐reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.     

Further Analysis of the Returns to Academic and Vocational Qualifications*

This paper uses data from the Labour Force Survey over the period 1996–2002 to investigate the returns to a detailed list of academic and vocational qualifications. In particular, the analysis focuses on how these returns have varied over the time period considered, how the returns vary over an individual's lifetime using a pseudo cohort analysis, and how the returns vary according to the highest level of qualification obtained at school.     

Labor turnover before plant closure: “Leaving the sinking ship” vs. “Captain throwing ballast overboard”

Involuntary job loss in administrative data is commonly identified by exploiting the exogenous nature of mass layoffs or plant closures. However, prior knowledge can lead to selection in the labor turnover of distressed firms. This paper proposes a simple method to determine if and when selective turnover sets in. Based on a rich administrative data set for Austria, we show that separations up to two quarters before plant closure should be included in the treatment group. Moreover, we find that early leavers are associated with significantly lower costs of job loss due to plant closure.