Økonomisk Institut

  1. Udgivet

    Best Nonparametric Bounds on Demand Responses

    Blundell, R., Browning, Martin & Crawford, I., 2005, Cph.: Department of Economics, University of Copenhagen, 23 s.

    Publikation: Working paperForskning

  2. Udgivet

    Bertrand under Uncertainty: Private and Common Costs

    Lagerlöf, Johan, 2016, 26 s. (University of Copenhagen. Institute of Economics. Discussion Papers (Online); Nr. 16-02).

    Publikation: Working paperForskning

  3. Udgivet

    Benchmark Selection: An Axiomatic Approach

    Hougaard, Jens Leth & Tvede, M., 2001, Department of Economics, University of Copenhagen, 20 s.

    Publikation: Working paperForskning

  4. Udgivet

    Beliefs About the Stock Market and Investment Choices: Evidence from a Field Experiment

    Laudenbach, C., Weber, A. & Wohlfart, Johannes, 16 nov. 2021, 76 s. (CEBI Working Paper Series; Nr. 17, Bind 21).

    Publikation: Working paperForskning

  5. Udgivet

    Beliefs About Public Debt and the Demand for Government Spending

    Roth, C., Settele, Sonja & Wohlfart, Johannes, 26 feb. 2020, 88 s. (CEBI Working Paper Series; Nr. 05/20).

    Publikation: Working paperForskning

  6. Udgivet

    Bayesian learning in financial markets: testing for the relevance of information precision in price discovery

    Hautsch, N. & Hess, D., 2004, Cph.: Department of Economics, University of Copenhagen, 30 s.

    Publikation: Working paperForskning

  7. Udgivet

    Bayesian Inference for Factor Models with a Simple Structure

    Piatek, R. & Frühwirth-Schnatter, S., 2016.

    Publikation: Working paperForskning

  8. Udgivet

    Bayesian Analysis II: Applications to Danish Data

    Gupta, Y. P., 1991, Cph.: Department of Economics, University of Copenhagen, 21 s.

    Publikation: Working paperForskning

  9. Udgivet

    Baumol’s cost disease and the sustainability of the welfare state

    Kreiner, Claus Thustrup & Andersen, T. M., 2015, 16 s. (EPRU Working Paper Series; Nr. 2, Bind 2015).

    Publikation: Working paperForskning

  10. Udgivet

    Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?

    Ribers, Michael Allan & Ullrich, Hannes, 29 maj 2019, 42 s. (DIW Berlin Discussion Paper; Nr. 1803).

    Publikation: Working paperForskning