Karim Bekhtiar, Benjamin Bittschi, Richard Sellner
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In their seminal paper, Graetz and Michaels (2018) find that robots increase productivity, lower output prices, and adversely affect the share of low-skilled labor. We demonstrate that these effects are partly driven by the sample composition and argue that focusing on manufacturing industries yields more credible results regarding the overall economic effects of robotization. The results show that focusing on robotizing industries leads to a sizable drop of the productivity effects, halving the effect size for labor productivity. Pronounced consequences from the sample choice occur for wage effects that are reversed from significantly positive into significantly negative. Controlling for demographic workforce characteristics proves to be essential for the significant labor productivity effects and leads to the reversal for wages.
期刊介绍：
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.
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