Abstract
This analysis deals with the influence of export activities on demand for workers of differing skill levels. Previous literature suggests that productivity of export firms can improve as a result of the lessons learned from experience in international markets and/or that such productivity may be higher from the get-go by virtue of the self-selection effect among firms involved in export activities. Engaging in export activities may potentially lead to changes in employment structure, with a greater tendency to employ more highly skilled workers. To investigate this hypothesis, we applied a conditional difference-in-difference regression model of labor demand for three different skill levels. The data we used for our work was taken from the German IAB Establishment Panel covering the period from 2000 to 2017. Our results show not only the need to control for self-selection into export activity but also that changes in employment patterns appear to be skill-biased among manufacturing firms starting out in export activities. Nevertheless, corresponding findings for firms that have ceased exporting are conspicuous by their absence. Businesses in the service sector that decide to cease exporting appear to shed workers across all skill levels.
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Availability of data and material
This study uses the IAB Establishment Panel, Waves 2013–2018. Data access was provided via on-site use at the Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) and subsequently remote data access (Project-No. FDZ1045).
Notes
Cf. the early studies by Bernard and Jensen (1995, 1999), Pavcnik (2002), Aw et al. (2000), Clerides et al. (1998), Delgado et al. (2002) and later overviews of the burgeoning literature by Bernard et al. (2007) and Wagner (2011). We will control for this selection using propensity score matching on a sample of German manufacturing and service firms (see in this context e.g., Arnold and Hussinger 2005; Wagner 2002) as described in Sect. 3 below.
A shift to more skill-intensive sectors caused by compositional changes in the direction of high quality products by exporting firms will have the same effect (Melitz and Redding 2014).
An alternative way to identify endogeneity in this context would be the use of instrumental variables (IV) (Dauth et al. 2014; Lichter et al. 2017). As IV requires stronger assumptions and conditions on the selection of suitable instruments when the model is estimated (Wooldridge 2010), we prefer propensity score over IV methods. Nevertheless, we also conducted regressions using the lag of the variables of interest as instrumental variables. Compared with the propensity score method, the results do not contradict the subsequent analysis and are available in the supplement (cf. S.5–S.6).
In order to test whether our matching procedure matters, we estimated unweighted regressions (see supplement) and did not find significant outcomes for medium- and high-skilled workers—only the parameter estimate for low-skilled was negative and significant in the service sector. This supports the assumption of self-selectivity into international trade (cf. S.1 to S.4).
The supplement also includes alternative IV estimates (cf. S.5–S.6) and specifications with continuous treatments.
The regression results are available from the authors on request.
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Kölling, A., Mertens, A. Export activities and the demand for skills in German businesses. Empirica 49, 189–223 (2022). https://doi.org/10.1007/s10663-021-09520-x
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DOI: https://doi.org/10.1007/s10663-021-09520-x