IDEAS home Printed from https://ideas.repec.org/a/eee/eecrev/v176y2025ics001429212500087x.html

Energy supply shocks’ nonlinearities on output and prices

Author

Listed:
  • De Santis, Roberto A.
  • Tornese, Tommaso

Abstract

We use a Bayesian Threshold Vector Autoregression model with sign, magnitude, and narrative restrictions to examine the nonlinear effects of energy supply shocks. Our results show that these shocks have a stronger and more persistent impact on consumer prices in high-inflation regimes, where firms raise prices in line with costs, leading to muted short-term output effects and medium-term output declines. The central bank reacts tightening rates in high-inflation regimes but lowers them in low-inflation periods to support output. These findings emphasize the importance of incorporating state-dependence in DSGE models to capture price dynamics more accurately.

Suggested Citation

  • De Santis, Roberto A. & Tornese, Tommaso, 2025. "Energy supply shocks’ nonlinearities on output and prices," European Economic Review, Elsevier, vol. 176(C).
  • Handle: RePEc:eee:eecrev:v:176:y:2025:i:c:s001429212500087x
    DOI: 10.1016/j.euroecorev.2025.105037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S001429212500087X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.euroecorev.2025.105037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
    2. Emi Nakamura & Jón Steinsson & Patrick Sun & Daniel Villar, 2018. "The Elusive Costs of Inflation: Price Dispersion during the U.S. Great Inflation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1933-1980.
    3. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, Enero-Abr.
    4. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    5. Lutz Kilian & Robert J. Vigfusson, 2011. "Are the responses of the U.S. economy asymmetric in energy price increases and decreases?," Quantitative Economics, Econometric Society, vol. 2(3), pages 419-453, November.
    6. De Santis, Roberto A. & Van der Veken, Wouter, 2022. "Deflationary financial shocks and inflationary uncertainty shocks: an SVAR Investigation," Working Paper Series 2727, European Central Bank.
    7. Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
    8. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    9. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2024. "New Facts on Consumer Price Rigidity in the Euro Area," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 386-431, October.
    10. Emi Nakamura & Dawit Zerom, 2010. "Accounting for Incomplete Pass-Through," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1192-1230.
    11. Silvana Tenreyro & Gregory Thwaites, 2016. "Pushing on a String: US Monetary Policy Is Less Powerful in Recessions," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(4), pages 43-74, October.
    12. Ivan Yotzov & Nicholas Bloom & Philip Bunn & Paul Mizen & Gregory Thwaites, 2024. "The Speed of Firm Response to Inflation," Discussion Papers 2425, Centre for Macroeconomics (CFM).
    13. Dias, D.A. & Marques, C. Robalo & Santos Silva, J.M.C., 2007. "Time- or state-dependent price setting rules? Evidence from micro data," European Economic Review, Elsevier, vol. 51(7), pages 1589-1613, October.
    14. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    15. Emi Nakamura & Jón Steinsson, 2010. "Monetary Non-neutrality in a Multisector Menu Cost Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 961-1013.
    16. Haroon Mumtaz & Ahmed Pirzada & Konstantinos Theodoridis, 2018. "Non-linear effects of oil shocks on stock prices," Working Papers 865, Queen Mary University of London, School of Economics and Finance.
    17. Erwan Gautier & Ronan Le Saout, 2015. "The Dynamics of Gasoline Prices: Evidence from Daily French Micro Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(6), pages 1063-1089, September.
    18. Erwan Gautier & Cristina Conflitti & Riemer P. Faber & Brian Fabo & Ludmila Fadejeva & Valentin Jouvanceau & Jan-Oliver Menz & Teresa Messner & Pavlos Petroulas & Pau Roldan-Blanco & Fabio Rumler & Se, 2022. "New facts on consumption price rigidity in the Euro Area," Working and Discussion Papers WP 1/2022, Research Department, National Bank of Slovakia.
    19. Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
    20. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, August.
    21. Canova, Fabio & Paustian, Matthias, 2011. "Business cycle measurement with some theory," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 345-361.
    22. Lutz Kilian & Xiaoqing Zhou, 2022. "Oil prices, gasoline prices, and inflation expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 867-881, August.
    23. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2025. "Uniform Priors for Impulse Responses," Econometrica, Econometric Society, vol. 93(2), pages 695-718, March.
    24. Fernando Alvarez & Martin Beraja & Martín Gonzalez-Rozada & Pablo Andrés Neumeyer, 2019. "From Hyperinflation to Stable Prices: Argentina’s Evidence on Menu Cost Models," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 451-505.
    25. Jochen Güntner & Magnus Reif & Maik Wolters, 2024. "Sudden stop: Supply and demand shocks in the German natural gas market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1282-1300, November.
    26. Herrera, Ana María & Lagalo, Latika Gupta & Wada, Tatsuma, 2011. "Oil Price Shocks And Industrial Production: Is The Relationship Linear?," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 472-497, November.
    27. Lutz Kilian & Xiaoqing Zhou, 2022. "The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 953-987, June.
    28. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    29. Fougere, Denis & Le Bihan, Herve & Sevestre, Patrick, 2007. "Heterogeneity in Consumer Price Stickiness: A Microeconometric Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 247-264, July.
    30. Christiane Baumeister & Lutz Kilian, 2016. "Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 139-160, Winter.
    31. Alan J. Auerbach & Yuriy Gorodnichenko, 2013. "Corrigendum: Measuring the Output Responses to Fiscal Policy," American Economic Journal: Economic Policy, American Economic Association, vol. 5(3), pages 320-322, August.
    32. Caggiano, Giovanni & Castelnuovo, Efrem & Delrio, Silvia & Kima, Richard, 2021. "Financial uncertainty and real activity: The good, the bad, and the ugly," European Economic Review, Elsevier, vol. 136(C).
    33. De Santis, Roberto A., 2024. "Supply chain disruption and energy supply shocks: impact on euro area output and prices," Working Paper Series 2884, European Central Bank.
    34. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
    35. Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2023. "Understanding post-COVID inflation dynamics," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 101-118.
    36. Christopher A. Sims, 1993. "A Nine-Variable Probabilistic Macroeconomic Forecasting Model," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 179-212, National Bureau of Economic Research, Inc.
    37. Caldara, Dario & Cavallo, Michele & Iacoviello, Matteo, 2019. "Oil price elasticities and oil price fluctuations," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 1-20.
    38. Holm-Hadulla, Fédéric & Hubrich, Kirstin, 2017. "Macroeconomic implications of oil price fluctuations: a regime-switching framework for the euro area," Working Paper Series 2119, European Central Bank.
    39. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    40. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    41. Markku Lanne & Henri Nyberg, 2016. "Generalized Forecast Error Variance Decomposition for Linear and Nonlinear Multivariate Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 595-603, August.
    42. Guido Ascari & Timo Haber, 2022. "Non-Linearities, State-Dependent Prices and the Transmission Mechanism of Monetary Policy," The Economic Journal, Royal Economic Society, vol. 132(641), pages 37-57.
    43. Nathan S. Balke, 2000. "Credit and Economic Activity: Credit Regimes and Nonlinear Propagation of Shocks," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 344-349, May.
    44. Leo Krippner, 2020. "A Note of Caution on Shadow Rate Estimates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 951-962, June.
    45. Knotek, Edward S. & Zaman, Saeed, 2021. "Asymmetric responses of consumer spending to energy prices: A threshold VAR approach," Energy Economics, Elsevier, vol. 95(C).
    46. Peter Karadi & Adam Reiff, 2019. "Menu Costs, Aggregate Fluctuations, and Large Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(3), pages 111-146, July.
    47. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    48. Valerie A. Ramey & Sarah Zubairy, 2018. "Government Spending Multipliers in Good Times and in Bad: Evidence from US Historical Data," Journal of Political Economy, University of Chicago Press, vol. 126(2), pages 850-901.
    49. Fernando E. Alvarez & Francesco Lippi & Luigi Paciello, 2011. "Optimal Price Setting With Observation and Menu Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1909-1960.
    50. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
    51. Cathy W. S. Chen & Jack C. Lee, 1995. "Bayesian Inference Of Threshold Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 16(5), pages 483-492, September.
    52. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    53. Roberto A. De Santis, 2024. "Supply Chain Disruption and Energy Supply Shocks: Impact on Euro-Area Output and Prices," International Journal of Central Banking, International Journal of Central Banking, vol. 20(2), pages 193-235, April.
    54. Lutz Kilian & Daniel P. Murphy, 2014. "The Role Of Inventories And Speculative Trading In The Global Market For Crude Oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 454-478, April.
    55. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    56. Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "What Drives Oil Prices? Emerging Versus Developed Economies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
    57. Arne Halberstadt & Leo Krippner, 2021. "Investigating a measure of conventional and unconventional stimulus for the euro area," CAMA Working Papers 2021-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    58. Diego R. Känzig, 2021. "The Macroeconomic Effects of Oil Supply News: Evidence from OPEC Announcements," American Economic Review, American Economic Association, vol. 111(4), pages 1092-1125, April.
    59. Peter J. Klenow & Oleksiy Kryvtsov, 2008. "State-Dependent or Time-Dependent Pricing: Does it Matter for Recent U.S. Inflation?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(3), pages 863-904.
    60. Martin Eichenbaum & Nir Jaimovich & Sergio Rebelo, 2011. "Reference Prices, Costs, and Nominal Rigidities," American Economic Review, American Economic Association, vol. 101(1), pages 234-262, February.
    61. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    62. Gonçalves, Sílvia & Herrera, Ana María & Kilian, Lutz & Pesavento, Elena, 2024. "State-dependent local projections," Journal of Econometrics, Elsevier, vol. 244(2).
    63. Danilo Cascaldi‐Garcia & Ana Beatriz Galvao, 2021. "News and Uncertainty Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 779-811, June.
    64. Julio J. Rotemberg, 1982. "Monopolistic Price Adjustment and Aggregate Output," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(4), pages 517-531.
    65. David Cornille & Maarten Dossche, 2008. "Some Evidence on the Adjustment of Producer Prices," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(3), pages 489-518, September.
    66. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
    67. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    68. Fernando Alvarez & Francesco Lippi & Juan Passadore, 2017. "Are State- and Time-Dependent Models Really Different?," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 379-457.
    69. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    70. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    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. Barauskaitė Griškevičienė, Kristina & Brand, Claus & Nguyen, Anh Dinh Minh, 2026. "Pandemic-era inflation dynamics in the euro area: the role of policy and non-policy demand and energy and non-energy supply factors," Working Paper Series 3201, European Central Bank.
    2. Luca Baldo & Marco Bernardini, 2025. "What drives policy rate expectations? Evidence from the post-pandemic monetary policy cycle," Temi di discussione (Economic working papers) 1500, Bank of Italy, Economic Research and International Relations Area.
    3. De Santis, Roberto A. & Tornese, Tommaso, 2025. "Macroeconomic regime change and the size of supply chain disruption and energy supply shocks," European Economic Review, Elsevier, vol. 178(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. De Santis, Roberto A. & Tornese, Tommaso, 2025. "Macroeconomic regime change and the size of supply chain disruption and energy supply shocks," European Economic Review, Elsevier, vol. 178(C).
    2. De Santis, Roberto A. & Tornese, Tommaso, 2023. "Energy supply shocks’ nonlinearities on output and prices," Working Paper Series 2834, European Central Bank.
    3. Adolfsen, Jakob Feveile & Ferrari Minesso, Massimo & Mork, Jente Esther & Van Robays, Ine, 2024. "Gas price shocks and euro area inflation," Journal of International Money and Finance, Elsevier, vol. 149(C).
    4. Nguyen, Bao H. & Okimoto, Tatsuyoshi & Tran, Trung Duc, 2022. "Uncertainty-dependent and sign-dependent effects of oil market shocks," Journal of Commodity Markets, Elsevier, vol. 26(C).
    5. Guido Ascari & Timo Haber, 2019. "Sticky prices and the transmission mechanism of monetary policy: A minimal test of New Keynesian models," Economics Series Working Papers 869, University of Oxford, Department of Economics.
    6. Knotek, Edward S. & Zaman, Saeed, 2021. "Asymmetric responses of consumer spending to energy prices: A threshold VAR approach," Energy Economics, Elsevier, vol. 95(C).
    7. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2023. "Uncertainty And Monetary Policy During The Great Recession," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(2), pages 577-606, May.
    8. Zhu, Zixiang & Wen, Yake & Zhou, Weimin & Liu, Xintong, 2025. "The state-dependent effects of oil supply news shocks," Energy Economics, Elsevier, vol. 149(C).
    9. Jon Ellingsen & Caroline Espegren, 2022. "Lost in transition? Earnings losses of displaced petroleum workers," Working Papers No 06/2022, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    11. Daniele Colombo & Francesco Toni, 2025. "Understanding Gas Price Shocks: Elasticities, Volatility and Macroeconomic Transmission," GREDEG Working Papers 2025-20, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    12. Nguyen, Bao H. & Okimoto, Tatsuyoshi, 2019. "Asymmetric reactions of the US natural gas market and economic activity," Energy Economics, Elsevier, vol. 80(C), pages 86-99.
    13. Luigi Infante & Francesca Lilla & Michela E. Pasetto, 2025. "Energy price shocks and their effects on the main macroeconomic variables: a Bayesian SVAR analysis," Questioni di Economia e Finanza (Occasional Papers) 926, Bank of Italy, Economic Research and International Relations Area.
    14. Daniele Colombo & Francesco Toni, 2025. "Understanding Gas Price Shocks: Elasticities, Volatilities, and Macroeconomic Transmission," LEM Papers Series 2025/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    16. Petrella, Ivan & Santoro, Emiliano & Winkelmann, Yannik, 2025. "Inflation and price flexibility," European Economic Review, Elsevier, vol. 178(C).
      • Petrella Ivan & Santoro Emiliano & Winkelmann Yannik, 2025. "Inflation and Price Flexibility," Working papers 099, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    17. De Santis, Roberto A. & Tornese, Tommaso, 2024. "US monetary policy is more powerful in low economic growth regimes," Working Paper Series 2919, European Central Bank.
    18. Alessandri, Piergiorgio & Gazzani, Andrea, 2025. "Natural gas and the macroeconomy: Not all energy shocks are alike," Journal of Monetary Economics, Elsevier, vol. 151(C).
    19. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    20. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:eee:eecrev:v:176:y:2025:i:c:s001429212500087x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eer .

    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.