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Jyrki Ali-Yrkkö, Reda Cherif, Fuad Hasanov, Natalia Kuosmanen, and Mika Pajarinen
Do workers hired from superstar tech-firms contribute to better firm performance? To address this question, we analyze the effects of tacit knowledge spillovers from Nokia in the context of a quasi-natural experiment in Finland, the closure of Nokia’s mobile device division in 2014 and the massive labor movement it implied. We apply a two-stage difference-in-differences approach with heterogeneous treatment to estimate the causal effects of hiring former Nokia employees. Our results provide new evidence supporting the positive causal role of former Nokia workers on firm performance. The evidence of the positive spillovers on firms is particularly strong in terms of employment and value added.
Cornelia Hammer, Ms. Diane C Kostroch, and Mr. Gabriel Quiros-Romero
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.
Mrs. Esther Perez Ruiz and Mr. Uffe Mikkelsen
This paper investigates the asymmetries in trade spillovers from sector-specific technology shocks in China to selected euro area countries. We use a Ricardian-gravity trade model to estimate sectoral competitiveness in individual euro area countries. Simulations on the impact of productivity shocks in Chinese textiles and machinery suggest that the required adjustment in wages, prices, and factor re-allocation is widely heterogenous across euro area countries on accounts of their different specialization patterns. This raises the question of the distribution of gains and losses from external trade shocks.
International Monetary Fund. External Relations Dept.
The Web edition of the IMF Survey is updated several times a week, and contains a wealth of articles about topical policy and economic issues in the news. Access the latest IMF research, read interviews, and listen to podcasts given by top IMF economists on important issues in the global economy. www.imf.org/external/pubs/ft/survey/so/home.aspx