IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2025_019.html

European market integration and price convergence: A panel quantile regression analysis of NordLink

Author

Listed:
  • Bjørndal, Endre

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Bjørndal, Mette

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Hovdahl, Isabel

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Tselika, Kyriaki

    (Dept. of Business and Management Science, Norwegian School of Economics)

Abstract

The European Union aims to strengthen electricity market integration as part of its transition to a low-carbon energy system, with substantial investments in cross-border transmission infrastructure. This paper presents the first empirical analysis of a new interconnector, NordLink, on price convergence between southern Norway (NO2) and Germany. Using a novel panel quantile regression model, we estimate the impact of NordLink on the full distribution of hourly electricity prices in both markets. We find that the cable raised average prices in NO2 and lowered them in Germany, but with substantial heterogeneity across the price quantiles. In NO2, lower-quantile prices fell while upper-quantile prices rose. In Germany, the largest reductions occurred in the upper price quantiles. Regarding volatility, NordLink increased price fluctuations in NO2 and reduced them in Germany. We also find that the interconnector has altered the relationship between electricity prices and key fundamentals. Notably, electricity prices in NO2 have become substantially more exposed to gas prices post-NordLink, while Germany has become less exposed. Our findings highlight that market integration influences not only average prices, but also the dynamics and structure of electricity prices, with important implications for policymakers and market participants navigating the future of cross-border transmission in Europe.

Suggested Citation

  • Bjørndal, Endre & Bjørndal, Mette & Hovdahl, Isabel & Tselika, Kyriaki, 2025. "European market integration and price convergence: A panel quantile regression analysis of NordLink," Discussion Papers 2025/19, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2025_019
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/11250/3197495
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2020. "Electricity market integration, decarbonisation and security of supply: Dynamic volatility connectedness in the Irish and Great Britain markets," Energy Economics, Elsevier, vol. 92(C).
    2. Huisman, Ronald & Huurman, Christian & Mahieu, Ronald, 2007. "Hourly electricity prices in day-ahead markets," Energy Economics, Elsevier, vol. 29(2), pages 240-248, March.
    3. Karakatsani, Nektaria V. & Bunn, Derek W., 2008. "Forecasting electricity prices: The impact of fundamentals and time-varying coefficients," International Journal of Forecasting, Elsevier, vol. 24(4), pages 764-785.
    4. Maciejowska, Katarzyna, 2020. "Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach," Energy Economics, Elsevier, vol. 85(C).
    5. Linh Phuong Catherine Do & Štefan Lyócsa & Peter Molnár, 2019. "Impact of wind and solar production on electricity prices: Quantile regression approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1752-1768, October.
    6. Gugler, Klaus & Haxhimusa, Adhurim, 2019. "Market integration and technology mix: Evidence from the German and French electricity markets," Energy Policy, Elsevier, vol. 126(C), pages 30-46.
    7. Portnoy, Stephen, 1991. "Asymptotic behavior of regression quantiles in non-stationary, dependent cases," Journal of Multivariate Analysis, Elsevier, vol. 38(1), pages 100-113, July.
    8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    9. Cludius, Johanna & Hermann, Hauke & Matthes, Felix Chr. & Graichen, Verena, 2014. "The merit order effect of wind and photovoltaic electricity generation in Germany 2008–2016: Estimation and distributional implications," Energy Economics, Elsevier, vol. 44(C), pages 302-313.
    10. Gianfreda, Angelica & Parisio, Lucia & Pelagatti, Matteo, 2016. "Revisiting long-run relations in power markets with high RES penetration," Energy Policy, Elsevier, vol. 94(C), pages 432-445.
    11. repec:aen:journl:ej39-3-roques is not listed on IDEAS
    12. Derek Bunn & Arne Andresen & Dipeng Chen & Sjur Westgaard, 2016. "Analysis and Forecasting of Electricity Price Risks with Quantile Factor Models," The Energy Journal, , vol. 37(1), pages 101-122, January.
    13. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
    14. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    15. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    16. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    17. repec:aen:journl:ej43-3-mauritzen is not listed on IDEAS
    18. Malaguzzi Valeri, Laura, 2009. "Welfare and competition effects of electricity interconnection between Ireland and Great Britain," Energy Policy, Elsevier, vol. 37(11), pages 4679-4688, November.
    19. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2016. "It is windy in Denmark: Does market integration suffer?," Energy, Elsevier, vol. 115(P2), pages 1385-1399.
    20. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    21. de Menezes, Lilian M. & Houllier, Melanie A., 2016. "Reassessing the integration of European electricity markets: A fractional cointegration analysis," Energy Economics, Elsevier, vol. 53(C), pages 132-150.
    22. Paraschiv, Florentina & Erni, David & Pietsch, Ralf, 2014. "The impact of renewable energies on EEX day-ahead electricity prices," Energy Policy, Elsevier, vol. 73(C), pages 196-210.
    23. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2015. "Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices," Energy Policy, Elsevier, vol. 85(C), pages 218-234.
    24. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Discussion Papers 2022/4, Norwegian School of Economics, Department of Business and Management Science.
    25. Jan Horst Keppler & Sébastien Phan & Yannick Le Pen, 2016. "The Impacts of Variable Renewable Production and Market Coupling on the Convergence of French and German Electricity Prices," The Energy Journal, , vol. 37(3), pages 343-360, July.
    26. Richard Green & Nicholas Vasilakos, 2012. "Storing Wind for a Rainy Day: What Kind of Electricity Does Denmark Export?," The Energy Journal, , vol. 33(3), pages 1-22, July.
    27. Johannes Mauritzen, 2013. "Dead Battery? Wind Power, the Spot Market, and Hydropower Interaction in the Nordic Electricity Market," The Energy Journal, , vol. 34(1), pages 103-124, January.
    28. de Menezes, Lilian M. & Houllier, Melanie A., 2015. "Germany's nuclear power plant closures and the integration of electricity markets in Europe," Energy Policy, Elsevier, vol. 85(C), pages 357-368.
    29. Creti, Anna & Fumagalli, Eileen & Fumagalli, Elena, 2010. "Integration of electricity markets in Europe: Relevant issues for Italy," Energy Policy, Elsevier, vol. 38(11), pages 6966-6976, November.
    30. repec:aen:journl:ej37-1-bunn is not listed on IDEAS
    31. repec:aen:journl:ej37-3-keppler is not listed on IDEAS
    32. repec:aen:journl:33-3-01 is not listed on IDEAS
    33. repec:aen:eeepjl:eeep8-2-paniagua is not listed on IDEAS
    34. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Energy Economics, Elsevier, vol. 113(C).
    35. Kyritsis, Evangelos & Andersson, Jonas & Serletis, Apostolos, 2017. "Electricity prices, large-scale renewable integration, and policy implications," Energy Policy, Elsevier, vol. 101(C), pages 550-560.
    36. repec:aen:journl:ej34-1-05 is not listed on IDEAS
    37. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    38. Johannes Mauritzen & Genaro Sucarrat, 2022. "Increasing or Diversifying Risk? Tail Correlations, Transmission Flows and Prices across Wind Power Areas," The Energy Journal, , vol. 43(3), pages 105-131, May.
    39. Hagfors, Lars Ivar & Bunn, Derek & Kristoffersen, Eline & Staver, Tiril Toftdahl & Westgaard, Sjur, 2016. "Modeling the UK electricity price distributions using quantile regression," Energy, Elsevier, vol. 102(C), pages 231-243.
    40. Sebastien Annan-Phan & Fabien A. Roques, 2018. "Market Integration and Wind Generation: An Empirical Analysis of the Impact of Wind Generation on Cross-border Power Prices," The Energy Journal, , vol. 39(3), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brockmann, Fabian & Guajardo, Mario, 2026. "Electric vehicle charging costs and power losses under the energy price crisis: shifting dynamics in Norway," Energy Economics, Elsevier, vol. 153(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tselika, Kyriaki, 2022. "The impact of variable renewables on the distribution of hourly electricity prices and their variability: A panel approach," Energy Economics, Elsevier, vol. 113(C).
    2. Tselika, Kyriaki & Tselika, Maria & Demetriades, Elias, 2024. "Quantifying the short-term asymmetric effects of renewable energy on the electricity merit-order curve," Energy Economics, Elsevier, vol. 132(C).
    3. Gökgöz, Fazıl & Yücel, Öykü, 2025. "Measuring the long-term impact of wind, run-of-river, solar renewable energy alternatives on market clearing prices," Renewable Energy, Elsevier, vol. 241(C).
    4. Huisman, Ronald & Stet, Cristian, 2022. "The dependence of quantile power prices on supply from renewables," Energy Economics, Elsevier, vol. 105(C).
    5. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    6. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    7. Ajanaku, Bolarinwa A. & Collins, Alan R., 2024. "“Comparing merit order effects of wind penetration across wholesale electricity markets”," Renewable Energy, Elsevier, vol. 226(C).
    8. Sirin, Selahattin Murat & Yilmaz, Berna N., 2021. "The impact of variable renewable energy technologies on electricity markets: An analysis of the Turkish balancing market," Energy Policy, Elsevier, vol. 151(C).
    9. Gökgöz, Fazıl & Yücel, Öykü, 2024. "Merit-order of dispatchable and variable renewable energy sources in Turkey's day-ahead electricity market," Utilities Policy, Elsevier, vol. 88(C).
    10. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    11. Deniz, Pinar & Stengos, Thanasis, 2026. "Asymmetric effects of global sentiments on EU electricity prices," The Journal of Economic Asymmetries, Elsevier, vol. 33(C).
    12. Samarth Kumar & David Schönheit & Matthew Schmidt & Dominik Möst, 2019. "Parsing the Effects of Wind and Solar Generation on the German Electricity Trade Surplus," Energies, MDPI, vol. 12(18), pages 1-17, September.
    13. Fuke, Nobuhiro & Ohashi, Kazuhiko, 2025. "Seasonal variation in the impact of solar power generation on electricity price level and variability," Journal of Commodity Markets, Elsevier, vol. 40(C).
    14. Mwampashi, Muthe Mathias & Nikitopoulos, Christina Sklibosios & Konstandatos, Otto & Rai, Alan, 2021. "Wind generation and the dynamics of electricity prices in Australia," Energy Economics, Elsevier, vol. 103(C).
    15. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    16. Schischke, Amelie & Rathgeber, Andreas, 2025. "The impact of renewables on spillover effects in electricity markets," Applied Energy, Elsevier, vol. 399(C).
    17. Sikorska-Pastuszka, Magdalena & Papież, Monika, 2023. "Dynamic volatility connectedness in the European electricity market," Energy Economics, Elsevier, vol. 127(PA).
    18. Hakan Acaroğlu & Fausto Pedro García Márquez, 2021. "Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy," Energies, MDPI, vol. 14(22), pages 1-23, November.
    19. Śmiech, Sławomir & Karpinska, Lilia & Bouzarovski, Stefan, 2025. "Impact of energy transitions on energy poverty in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    20. Macedo, Daniela Pereira & Marques, António Cardoso & Damette, Olivier, 2021. "The Merit-Order Effect on the Swedish bidding zone with the highest electricity flow in the Elspot market," Energy Economics, Elsevier, vol. 102(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2025_019. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.