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Clement Yelou

Personal Details

First Name:Clement
Middle Name:
Last Name:Yelou
Suffix:
RePEc Short-ID:pyl4
[This author has chosen not to make the email address public]
1-613-869-6950
Terminal Degree:2006 Département d'Économique; Université Laval (from RePEc Genealogy)

Affiliation

Centre de recherche en économie de l'environnement, de l'agroalimentaire, des transports et de l'énergie (CREATE)
Université Laval

Québec, Canada
http://www.create.ulaval.ca/
RePEc:edi:calvlca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 208082, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
  2. Yelou, Clement & Larue, Bruno & Tran, Kien C., 2007. "Estimation and Inference for Threshold Effects in Panel Data Stochastic Frontier Models," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9769, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Denis Bolduc & Lynda Khalaf & Clément Yélou, 2005. "Identification Robust Confidence Sets Methods for Inference on Parameter Ratios and their Application to Estimating Value-of-Time," Computing in Economics and Finance 2005 48, Society for Computational Economics.

Articles

  1. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.
  2. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.
  3. Jean-Thomas Bernard & Nadhem Idoudi & Lynda Khalaf & Clément Yélou, 2007. "Finite sample inference methods for dynamic energy demand models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1211-1226.
  4. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
  5. Rémy Lambert & Bruno Larue & Clément Yélou & George Criner, 2006. "Fish and meat demand in Canada: Regional differences and weak separability," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 175-199.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & Yelou, Clement, 2015. "Oil Price Forecasts for the Long-Term: Expert Outlooks, Models, or Both?," Working Papers 208082, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).

    Cited by:

    1. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    2. Chu, Pyung Kun & Hoff, Kristian & Molnár, Peter & Olsvik, Magnus, 2022. "Crude oil: Does the futures price predict the spot price?," Research in International Business and Finance, Elsevier, vol. 60(C).
    3. Piersanti, Giovanni & Piersanti, Mirko & Cicone, Antonio & Canofari, Paolo & Di Domizio, Marco, 2020. "An inquiry into the structure and dynamics of crude oil price using the fast iterative filtering algorithm," Energy Economics, Elsevier, vol. 92(C).
    4. Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Paper 2021/3, Norges Bank.
    5. Zied Ftiti & Kais Tissaoui & Sahbi Boubaker, 2022. "On the relationship between oil and gas markets: a new forecasting framework based on a machine learning approach," Annals of Operations Research, Springer, vol. 313(2), pages 915-943, June.

Articles

  1. Yélou, Clément & Larue, Bruno & Tran, Kien C., 2010. "Threshold effects in panel data stochastic frontier models of dairy production in Canada," Economic Modelling, Elsevier, vol. 27(3), pages 641-647, May.

    Cited by:

    1. Leon Li & Mark J. Holmes & Bong Soo Lee, 2016. "The asymmetric relationship between executive earnings management and compensation: a panel threshold regression approach," Applied Economics, Taylor & Francis Journals, vol. 48(57), pages 5525-5545, December.
    2. Begin, Rosemarie & Tamini, Lota D. & Doyon, Maurice, 2014. "L'effet du travail hors-ferme sur l'efficacité technique des fermes laitières québécoises: un modèle intégrant les biais de sélection sur les observables et inobservables," Working Papers 187233, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    3. Hung-pin Lai, 2013. "Estimation of the threshold stochastic frontier model in the presence of an endogenous sample split variable," Journal of Productivity Analysis, Springer, vol. 40(2), pages 227-237, October.
    4. Lambert, Remy, 2012. "A Primer on the Economics of Supply Management and Food Supply Chains," Working Papers 125246, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
    5. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    6. M.K. Ndegue Fongue & Lota D. Tamini & B. Larue & G.E. West, 2014. "Efficiences technique et environnementale en agriculture: le cas du bassin de la rivière Chaudière au Québec," Cahiers de recherche CREATE 2014-10, CREATE.
    7. Ndegue Fongue, M.K., 2014. "Efficiences technique et environnementale en agriculture: le cas du bassin de la rivière Chaudière au Québec," Working Papers 187234, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    8. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2011. "TIs Globalization Driving Efficiency? A Threshold Stochastic Frontier Panel Data Modelling Approach," SERIES 0040, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Oct 2011.
    9. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    10. Elizabeth Ahikiriza & Jef Meensel & Xavier Gellynck & Ludwig Lauwers, 2021. "Heterogeneity in frontier analysis: does it matter for benchmarking farms?," Journal of Productivity Analysis, Springer, vol. 56(2), pages 69-84, December.
    11. Kuo, Chii-Shyan & Li, Ming-Yuan Leon & Yu, Shang-En, 2013. "Non-uniform effects of CEO equity-based compensation on firm performance – An application of a panel threshold regression model," The British Accounting Review, Elsevier, vol. 45(3), pages 203-214.
    12. Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
    13. Menegaki, Angeliki N., 2013. "Accounting for unobserved management in renewable energy & growth," Energy, Elsevier, vol. 63(C), pages 345-355.
    14. Brea, Humberto & Grifell-Tatje, Emili & Orea, Luis, 2012. "Expectations with Unrealistic Optimism: An Empirical Application," Efficiency Series Papers 2012/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    15. Lota D. Tamini & Bruno Larue & Gale E. West & Moise K.Ndegue Fongue, 2016. "Agricultural production and pollutant runoffs in QuŽbecÕs Chaudi re river watershed: what are the potential environmental gains?," Cahiers de recherche CREATE 2016-2, CREATE.
    16. Alphonse G. Singbo & Bruno Larue, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Cahiers de recherche CREATE 2014-7, CREATE.

  2. Bolduc, Denis & Khalaf, Lynda & Yélou, Clément, 2010. "Identification robust confidence set methods for inference on parameter ratios with application to discrete choice models," Journal of Econometrics, Elsevier, vol. 157(2), pages 317-327, August.

    Cited by:

    1. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    2. Luger, Richard, 2012. "Finite-sample bootstrap inference in GARCH models with heavy-tailed innovations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3198-3211.
    3. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    4. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2014. "Exact confidence sets and goodness-of-fit methods for stable distributions," Journal of Econometrics, Elsevier, vol. 181(1), pages 3-14.
    5. Jean Thomas Bernard & Ba Chu & Lynda Khalaf & Marcel Voia, 2019. "Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data," Post-Print hal-03549991, HAL.
    6. John K. Dagsvik & Tom Kornstad & Terje Skjerpen, 2010. "Labor force participation and the discouraged worker effect," Discussion Papers 642, Statistics Norway, Research Department.
    7. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf & Abdallah Zalghout, 2020. "Identification-Robust Inequality Analysis," Cahiers de recherche 03-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    9. Ferris, J. Stephen & Voia, Marcel C., 2015. "The effect of federal government size on private economic performance in Canada: 1870–2011," Economic Modelling, Elsevier, vol. 49(C), pages 172-185.
    10. Gatta, Valerio & Marcucci, Edoardo & Scaccia, Luisa, 2015. "On finite sample performance of confidence intervals methods for willingness to pay measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 169-192.
    11. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    12. Marie-Claude Beaulieu & Jean-Marie Dufour & Lynda Khalaf, 2020. "Arbitrage Pricing, Weak Beta, Strong Beta: Identification-Robust and Simultaneous Inference," CIRANO Working Papers 2020s-30, CIRANO.
    13. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    14. Khalaf, Lynda & Urga, Giovanni, 2014. "Identification robust inference in cointegrating regressions," Journal of Econometrics, Elsevier, vol. 182(2), pages 385-396.

  3. Jean-Thomas Bernard & Nadhem Idoudi & Lynda Khalaf & Clément Yélou, 2007. "Finite sample inference methods for dynamic energy demand models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1211-1226.

    Cited by:

    1. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.
    2. Jenny Lye & Joe Hirschberg, 2018. "Ratios of Parameters: Some Econometric Examples," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(4), pages 578-602, December.
    3. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    4. Jean Thomas Bernard & Ba Chu & Lynda Khalaf & Marcel Voia, 2019. "Non-Standard Confidence Sets for Ratios and Tipping Points with Applications to Dynamic Panel Data," Post-Print hal-03549991, HAL.
    5. Ollech, Daniel & Webel, Karsten, 2020. "A random forest-based approach to identifying the most informative seasonality tests," Discussion Papers 55/2020, Deutsche Bundesbank.
    6. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf & Abdallah Zalghout, 2020. "Identification-Robust Inequality Analysis," Cahiers de recherche 03-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. J. G. Hirschberg, J. N. Lye & D. J. Slottje, 2008. "Confidence Intervals for Estimates of Elasticities," Department of Economics - Working Papers Series 1053, The University of Melbourne.
    8. Gatta, Valerio & Marcucci, Edoardo & Scaccia, Luisa, 2015. "On finite sample performance of confidence intervals methods for willingness to pay measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 169-192.
    9. Hirschberg, J.G. & Lye, J.N., 2010. "Two geometric representations of confidence intervals for ratios of linear combinations of regression parameters: An application to the NAIRU," Economics Letters, Elsevier, vol. 108(1), pages 73-76, July.
    10. J.G. Hirschberg & J. N. Lye, 2007. "Providing Intuition to the Fieller Method with Two Geometric Representations using STATA and Eviews," Department of Economics - Working Papers Series 992, The University of Melbourne.
    11. Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019. "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, vol. 211(2), pages 461-482.
    12. Hirschberg, J.G. & Lye, J.N. & Slottje, D.J., 2008. "Inferential methods for elasticity estimates," Journal of Econometrics, Elsevier, vol. 147(2), pages 299-315, December.

  4. Bernard, Jean-Thomas & Idoudi, Nadhem & Khalaf, Lynda & Yelou, Clement, 2007. "Finite sample multivariate structural change tests with application to energy demand models," Journal of Econometrics, Elsevier, vol. 141(2), pages 1219-1244, December.

    Cited by:

    1. Yazid Dissou & Reza Ghazal, 2010. "Energy Substitutability in Canadian Manufacturing Econometric Estimation with Bootstrap Confidence Intervals," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 121-148.
    2. Attfield, Cliff & Temple, Jonathan R.W., 2010. "Balanced growth and the great ratios: New evidence for the US and UK," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 937-956, December.
    3. YAMAMOTO, Yohei & 山本, 庸平 & TANAKA, Shinya & 田中, 晋也, 2013. "Testing for Factor Loading Structural Change under Common Breaks," Discussion Papers 2013-17, Graduate School of Economics, Hitotsubashi University.
    4. Taghizadeh-Hesary, Farhad & Mortha, Aline & Farabi-Asl, Hadi & Sarker, Tapan & Chapman, Andrew & Shigetomi, Yosuke & Fraser, Timothy, 2020. "Role of energy finance in geothermal power development in Japan," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 398-412.
    5. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    6. Jean-Marie Dufour & Lynda Khalaf & Marcel Voia, 2013. "Finite-sample resampling-based combined hypothesis tests, with applications to serial correlation and predictability," CIRANO Working Papers 2013s-40, CIRANO.
    7. Khalaf, Lynda & Saunders, Charles J., 2017. "Monte Carlo forecast evaluation with persistent data," International Journal of Forecasting, Elsevier, vol. 33(1), pages 1-10.
    8. Bunzel, Helle & Iglesias, Emma M., 2006. "Testing for Breaks Using Alternating Observations," Staff General Research Papers Archive 12694, Iowa State University, Department of Economics.

  5. Rémy Lambert & Bruno Larue & Clément Yélou & George Criner, 2006. "Fish and meat demand in Canada: Regional differences and weak separability," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 175-199.

    Cited by:

    1. Bilgic, Abdulbaki & Yen, Steven T., 2013. "Household food demand in Turkey: A two-step demand system approach," Food Policy, Elsevier, vol. 43(C), pages 267-277.
    2. Prifti, Ervin & Daidone, Silvio & Miguelez, Borja, 2017. "Impact of increases in food prices on consumer welfare in Lesotho," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
    3. Javier García-Enríquez & Cruz A. Echevarría, 2016. "Consistent Estimation of a Censored Demand System and Welfare Analysis: The 2012 VAT Reform in Spain," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 324-347, June.
    4. El Benni, Nadja & Finger, Robert & Hediger, Werner, 2014. "Transmission of beef and veal prices in different marketing channels," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182696, European Association of Agricultural Economists.
    5. Drescher, Larissa S. & de Jonge, Janneke & Goddard, Ellen & Herzfeld, Thomas, 2012. "Consumer's stated trust in the food industry and meat purchases," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 29(4), pages 507-517.
    6. Sven Anders & Anke Mőser, 2010. "Consumer Choice and Health: The Importance of Health Attributes for Retail Meat Demand in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(2), pages 249-271, June.
    7. Burggraf, Christine & Kuhn, Lena & Zhao, Qi-ran & Teuber, Ramona & Glauben, Thomas, 2015. "Economic growth and nutrition transition: An empirical analysis comparing demand elasticities for foods in China and Russia," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(6), pages 1008-1022.
    8. Anders, Sven M. & Moeser, Anke, 2008. "Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44154, European Association of Agricultural Economists.
    9. Musyoka, MP & Kavoi, Mutuku Muendo & Omiti, JM, 2014. "Food consumption patterns and distributional welfare impact of import tariff reduction on cereals in Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 9(3), pages 1-17, August.
    10. Burggraf, Christine & Kuhn, Lena & Zhao, Quiran & Teuber, Ramona & Glauben, Thomas, 2015. "Nutrition transition in two emerging countries: A comparison between China and Russia," 2015 Conference, August 9-14, 2015, Milan, Italy 211375, International Association of Agricultural Economists.
    11. Sébastien Pouliot & Bruno Larue, 2012. "Import sensitive products and perverse tariff‐rate quota liberalization," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 903-924, August.
    12. Zhang, Xu & Goddard, Ellen W., 2010. "Analysis of Value-Added Meat Product Choice Behaviour by Canadian Households," Project Report Series 99703, University of Alberta, Department of Resource Economics and Environmental Sociology.
    13. Mohammed, Rezgar & Murova, Olga & Chidmi, Benaissa, 2018. "Examining Demand Elasticities for Differentiated Yogurt," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266417, Southern Agricultural Economics Association.
    14. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    15. Julia Bronnmann & Stefan Guettler & Jens-Peter Loy, 2019. "Efficiency of correction for sample selection in QUAIDS models: an example for the fish demand in Germany," Empirical Economics, Springer, vol. 57(4), pages 1469-1493, October.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (3) 2015-08-30 2015-11-15 2016-04-30
  2. NEP-FOR: Forecasting (3) 2015-08-30 2015-11-15 2016-04-30
  3. NEP-ORE: Operations Research (2) 2015-08-30 2015-11-15
  4. NEP-ECM: Econometrics (1) 2005-11-19
  5. NEP-GER: German Papers (1) 2015-08-30

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