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      The external effects of offshoring on job security in SMEs

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          Abstract

          We investigate the effects of offshoring on job security using matched employer-employee data from Sweden. Between 1997 and 2011, the share of offshoring firms fell from around 25 to 22% while offshoring per worker within offshoring firms almost doubled. We use this variation to contribute to the literature by examining the effects of the neighboring firms’ offshoring (external offshoring) on job separation in small and medium-sized enterprises (SMEs). Our results suggest that external offshoring has a significant impact on job security in SMEs that do not offshore themselves. In addition, having a university degree, being young, and being new to the job reduce the risk of a job exit due to increased external offshoring. This result is indicative of a Schumpeterian job-restructuring effect where old jobs are replaced by newer ones. Finally, the increased risk of a job exit in SMEs suggests a higher vulnerability of these firms to local shocks due to offshoring activities in larger neighboring firms.

          Plain English Summary

          Offshoring leads to higher job exits in small and medium-sized enterprises (SMEs) that do not offshore themselves, as per new evidence from manufacturing firms in Sweden. This effect is highest for less educated and older workers. Manufacturers are ever more involved in fragmented supply chains where they supply intermediate inputs to one another. This suggests that any decision made by one manufacturer to offshore (replace a local supplier with a foreign one) may have negative effects on the workers of other firms. SMEs may be more vulnerable to offshoring because they tend to be more local in their activities, although they may not offshore themselves. This study uses a data set from Sweden to explore the effects of offshoring on the job security of workers in small and medium-size enterprises (SMEs). We find that offshoring activities within Sweden lead to higher job exits in SMEs that do not offshore themselves. This effect is highest for low skill (less educated) and older workers. Policy makers should be aware of the vulnerability of SMEs to offshoring activities of other often-larger firms through channels related to supply chains.

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            The Regulation of Labor

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              Econometric Analysis of Cross Section and Panel Data, second edition

              The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
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                Author and article information

                Contributors
                zelsahli@qu.edu.qa
                joakim.gullstrand@nek.lu.se
                karin.olofsdotter@nek.lu.se
                Journal
                Small Bus Econ
                Small Business Economics
                Springer US (New York )
                0921-898X
                1573-0913
                7 January 2022
                : 1-28
                Affiliations
                [1 ]GRID grid.412603.2, ISNI 0000 0004 0634 1084, Department of Finance and Economics, College of Business and Economics, , Qatar University, ; PO Box 2713, Doha, Qatar
                [2 ]GRID grid.4514.4, ISNI 0000 0001 0930 2361, Department of Economics, , Lund University, ; Tycho Brahes väg 1, Lund, Sweden
                Author information
                http://orcid.org/0000-0002-2963-5929
                Article
                578
                10.1007/s11187-021-00578-2
                8736316
                6b118542-489d-4a45-922d-7ab20798f5c6
                © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 13 October 2021
                Funding
                Funded by: Torsten Söderbergs Stiftelse (SE)
                Funded by: FundRef http://dx.doi.org/10.13039/100007439, Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse;
                Categories
                Article

                offshoring,heterogeneous firms,job security,globalization,small and medium-sized enterprises,swedish manufacturing,f16,f66,j64,l26

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