IDEAS home Printed from


by members of

École de Commerce et Économie
Université du Rwanda
Kigali, Rwanda

(College of Business and Economics, University of Rwanda)

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Working papers | Journal articles |

Working papers


  1. Habimana, Olivier, 2018. "Asymmetry and Multiscale Dynamics in Macroeconomic Time Series Analysis," MPRA Paper 87823, University Library of Munich, Germany.


  1. Habimana, Olivier, 2017. "The multiscale relationship between exchange rates and fundamentals differentials: Empirical evidence from Scandinavia," MPRA Paper 75956, University Library of Munich, Germany.


  1. Habimana, Olivier, 2016. "Oil price, exchange rate and consumer price co-movement: A continuous-wavelet analysis," MPRA Paper 71886, University Library of Munich, Germany.


  1. Mukantabana, Athanasie & Habimana, Olivier, 2015. "Technology Shock and the Business Cycle in the G7 Countries: A Structural Vector Error Correction Model," MPRA Paper 69651, University Library of Munich, Germany.

Journal articles


  1. Nsabimana, Aimable & Rukundo, Bosco Johnson & Mukamugema, Alice & Ngabitsinze, Jean Chrysostome, 2022. "Residential energy demands in Rwanda: Evidence from Robust models," Energy Policy, Elsevier, vol. 160(C).


  1. Aimable Nsabimana & Ranjula Bali Swain & Yves Surry & Jean Chrysostome Ngabitsinze, 2020. "Income and food Engel curves in Rwanda: a household microdata analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.


  1. Olivier Habimana, 2019. "Wavelet Multiresolution Analysis of the Liquidity Effect and Monetary Neutrality," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 85-110, January.
  2. Ildephonse Musafili & Jean Chrysostome Ngabitsinze & Fidèle Niyitanga & Dave Weatherspoon, 2019. "Farmers’ usage preferences for Rwanda’s Volcanoes National Park," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing, vol. 9(1), pages 63-77, May.


  1. Umulisa, Yvonne & Habimana, Olivier, 2018. "Business Cycle Synchronization and Core-Periphery Patterns in the East African Community: A Wavelet Approach," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(4), pages 629-658.
  2. Olivier Habimana & Kristofer Månsson & Pär Sjölander, 2018. "Testing for nonlinear unit roots in the presence of a structural break with an application to the qualified PPP during the 1997 Asian financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 221-232, July.


  1. Olivier Habimana, 2017. "Do flexible exchange rates facilitate external adjustment? A dynamic approach with time-varying and asymmetric volatility," International Economics and Economic Policy, Springer, vol. 14(4), pages 625-642, October.


  1. Dieudonne Ndaruhuye Muhoza & Pierre Claver Rutayisire & Aline Umubyeyi, 2016. "Measuring the success of family planning initiatives in Rwanda: a multivariate decomposition analysis," Journal of Population Research, Springer, vol. 33(4), pages 361-377, December.
  2. Olivier Habimana, 2016. "From Coase to Williamson: Evolution, Formalization and Empirics of Transaction Cost Economics," Journal of Social Economics, Research Academy of Social Sciences, vol. 3(1), pages 36-42.
  3. Habimana, Olivier, 2016. "Asymmetric nonlinear mean reversion in real effective exchange rates: A Fisher-type panel unit root test applied to Sub-Saharan Africa," The Journal of Economic Asymmetries, Elsevier, vol. 14(PB), pages 189-198.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.