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This paper provides an extensive review of surveys and data-collection programmes focused on urban goods movement (UGM). Surveys investigating passenger urban travel have a decades-long tradition. The same is not true for UGM. The first specific UGM surveys appeared about 10 years ago in response to the rapid growth of car traffic, congestion, pollution and lack of space. Most of the time, these surveys have been carried out to resolve specific, local problems concerning traffic. Only a few of them have taken a global approach to urban logistics by including all logistics operators (own-account and carriers), all delivery vehicles (heavy and light vehicles), all deliveries and pickups (from express to full payload) and an entire metropolitan area and surroundings. Due to various European programmes, an inventory has been created to analyse urban goods data collection according to spatial level and methodology of capture. With this inventory, European urban freight indicators can be described, along with the units in which they are measured and their purposes. The relevance of urban goods transport surveys lies in their capacity to give decision-makers an account of urban freight transport functioning, ratios and data, so as to help in formulating planning, regulation and forecasting. It appears that focusing on the movement (delivery/pick-up), as the unit of analysis in establishment-driver surveys is the most efficient approach to describe the generation of vehicular flow in the city. This fact is revealed in the French UGM surveys, which take into account the complexity of urban logistics.

We analyze and assess new evidence on employment dynamics from a new data source – the National Establishment Time Series (NETS). The NETS offers advantages over existing data sources for studying employment dynamics, including tracking business establishment relocations that can contribute to job creation or destruction on a regional level. Our primary purpose in this paper is to assess the reliability of the NETS data along a number of dimensions, and we conclude that it is a reliable data source although not without limitations. We also illustrate the usefulness of the NETS data by reporting, for California, a full decomposition of employment change into its six constituent processes, including job creation and destruction stemming from business relocation, which has figured prominently in policy debates but on which there has been no systematic evidence.

This paper uses the microdata of the Occupational Employment Statistics (OES) Survey to assess the contribution of occupational concentration to wage inequality between establishments and its growth over time. We show that occupational concentration plays an important role in wage determination for workers, in a wide variety of occupations, and can explain some establishment-level wage variation. Occupational concentration is increasing during the 2000–2011 time period, although much of this change is explained by other observable establishment characteristics. Overall, occupational concentration can help explain a small amount of wage inequality growth between establishments during this time period.

Recent empirical studies have improved methodologies for identifying the causal effects of policies especially on a minimum wage hike. This study identifies causal effects of minimum wage hikes across 47 prefectures in Japan from 2008 to 2010 on employment, average hourly wage, work hours, full-time equivalent employment (FTE), total wage costs, average tenure, separation and new hiring in establishments using a micro dataset of business establishments in restaurant, accommodation, and food takeout and delivery industry. Various regression specifications including controls for time-varying regional heterogeneity are implemented by using the bite of the minimum wage in each establishment. First, this study finds that the effects of a revision of minimum wage on employment and FTE in the establishment are statistically insignificant, but the effects on hourly wages and total wage costs are statistically significant. Subsequently, it considers how the establishments react to the increase in total wage costs caused by the revised minimum wage, and finds that separation from the establishment may decrease, and average tenure of workers may increase.

Many contributions to the educational mismatch literature address the productivity effects of both excess and deficit educational attainments for workers at the individual level. Due to the limited transferability of their results to establishment-level performance, especially when allowing for the possibility of spillover effects from mismatched workers to their well-matched colleagues, from an employer’s point of view, it is highly important to know the net effect of educationally mismatched employees on productivity at the establishment level. The paper aims to discuss these issues.

This paper analyses the impact of overeducated and undereducated workers among an establishment’s workforce on its productivity, providing first representative evidence for Germany. Using linked employer-employee data from Germany, the author estimates dynamic panel production functions using a system GMM estimator.

The author finds that undereducated workers among an establishment’s workforce impair its (establishment-level) productivity, implying that an establishment’s HR management should avoid the recruitment of undereducated workers, at least if they follow a short-term personnel policy. The effect for overeducated employees is also negative, albeit small and insignificant.

The consideration of the phenomena of over and undereducation from the employer’s point of view provides further insight into the consequences of educational mismatch.

We enquire whether short-time work (STW) avoids firings as intended by policymakers and is associated with unintended side effects by subsidising some establishments and locking in some employees. Additionally, where it was feasible, establishments used working from home (WFH) to continue working without risking an increase in COVID-19 infections and allowing employed parents to care for children attending closed schools.

Using 21 waves of German high-frequency establishment panel data collected during the COVID-19 crisis, we investigate how STW and WFH are associated with hirings, firings, resignations and excess labour turnover (or churning).

Our results show the important influences of STW and working from home on employment dynamics during the pandemic. By means of STW, establishments are able to avoid an increase in involuntary layoffs and hiring decreases significantly. In contrast, WFH is associated with a rise in resignations, as can be expected from a theoretical perspective.

While most of the literature on STW and WFH is unrelated and remains descriptive, we consider them in conjunction and conduct panel data analyses. We apply data and methods that allow for the dynamic pattern of STW and working from home during the pandemic. Furthermore, our data include relevant establishment-level variables, such as the existence of a works council, employee qualifications, establishment size, the degree to which the establishment was affected by the COVID-19 crisis, industry affiliation and a wave indicator for the period the survey was conducted.

The purpose of this paper is to introduce a new data source available for researchers with interest in human resources management (HRM) and personnel economics, the Linked Personnel Panel (LPP).

The LPP is a longitudinal and representative employer-employee data set covering establishments in Germany and a subset of their workforce and is designed for quantitative empirical human resource research.

The LPP employee survey applies a number of established scales to measure job characteristics and job perceptions, personal characteristics, employee attitudes towards the organization and employee behaviour. This paper gives an overview of both the employer and employee survey and outlines the definitions, origins, and statistical properties of the scales used in the individual questionnaire.

The paper describes how researchers can access the data.

First, the data set combines employer and employee surveys that can be matched to each other. Second, it can also be linked to a number of additional administrative data sets. Third, the LPP covers a wide range of firms and workers from different backgrounds. Finally, because of its longitudinal dimension, the LPP should facilitate the study of causal effects of HRM practices.

Using Spanish establishment-level data on temporary and permanent job and worker flows, we examine firms’ relative usage of fixed-term contracts in response to changes in their prior net employment expectations for the short-run and the long-run – viewed as proxies of how a wide variety of future shocks are ultimately perceived by establishments. The employment response of establishments to changing net employment expectations for the short-run is, primarily, suggestive of their reliance on fixed-term contracts as a buffer to cushion short-run changes in demand as well as to shield permanent workers from downward workforce adjustments. In contrast, their response to changes in net employment expectations for the long-run mostly hints on the use of fixed-term contracts as a screening device. Therefore, policies providing financial incentives to convert fixed-term into permanent contracts – thus targeting firms’ using fixed-term contracts as a screening device, are likely to only have limited effectiveness.

International immigration affects the degree of cultural diversity present in a labour force. The purpose of this paper is to focus on the consequences of immigration with respect to the level of cultural diversity by estimating employment functions for individual establishments.

The theory behind the empirical analyses is based on a “turned around” new economic geography model. The data basis used is a linked employer – employee data set generated by a fusion of the IAB Establishment Panel with the Employment Statistics of Germany, which provides very detailed information about individual workers and establishments. In the empirical part instrumental variables techniques are employed to solve the endogeneity issues involved.

In the empirical analyses it is shown that employment is lower when the degree of diversity is higher, regarding the revenue of an individual establishment as given. From this result it can be derived under the conditions of monopolistic competition (implying elastic product demand) that the establishment is able to occupy a relatively large part of the market. Finally, this implies relatively high labour demand.

The paper provides clear evidence that cultural diversity in single establishments enhance productivity. The question remains whether different employees interact each another or whether they are separated to different tasks within the establishment. In the latter case productivity gains are due to task-specific knowledge whereas in the former one the interaction of different cultures matters. This issue cannot be answered with the given data set.

Negative effects emerging from employing various cultures (such as language barriers) can be compensated. Thus, hiring foreign born workers does not mean a decline in productivity and a loss in competitiveness.