3rd IZA Workshop: Labor Market Effects of Environmental Policies

  • April 2024

    IZA/OECD Workshop: Applications with Linked Employer-Employee Data


    The workshop seeks to bring together researchers who share an interest in using linked employer-employee data for innovative and policy-relevant research. The workshop will take place on April 10 and be preceded by a policy seminar with a keynote speaker on April 9. The workshop is organized in the context of the OECDs LinkEED v 2.0 project that seeks to enhance our understanding of the role of policies in inclusive growth through cross-country analytical work based on linked employer-employee data from different OECD countries. We welcome submissions of applied papers using linked employer-employee data in all areas.

    2nd IZA/OECD Workshop: Climate Change and the Labor Market


    The IZA/OECD workshops aim to increase synergies between researchers and OECD experts to promote the societal impact of academic research and the relevance of expertise. These workshops are organized twice a year and focus on topics of particular importance to the economy and society. They bring together researchers from the IZA network, OECD experts and policymakers. They take place by videoconference, over half a day, with presentations by experts, researchers and discussions with policymakers.

3rd IZA Workshop: Labor Market Effects of Environmental Policies
August 27, 2015 - August 28, 2015

The aim of the 2015 workshop of IZA’s “Environment and Employment” program area is to bring together researchers analyzing wider labor market impacts of environmental policies.

We particularly encourage submissions of papers that provide credible empirical evidence on the following issues:

*Effects on sectoral energy prices, industrial output and employment
*Effects on individual productivity, human capital acquisition and well-being
*Labor market effects of structural transitions towards renewable energy sources
*Design of optimal public policies, such as taxation of energy consumption, with regard to their distributional impacts. 

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