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Philippe J. Deschamps

Personal Details

First Name:Philippe
Middle Name:J.
Last Name:Deschamps
Suffix:
RePEc Short-ID:pde159
[This author has chosen not to make the email address public]

Affiliation

Departement für Quantitative Wirtschaftsforschung
Faculté des sciences économiques et sociales - Wirtschafts- und Sozialwissenschaftliche Fakultät
Université de Fribourg - Universität Freiburg

Fribourg/Freiburg, Switzerland
http://www.unifr.ch/dqe/

: +41 26 300 8272
+41 26 300 9781
Bd de Pérolles 90, CH-1700 Fribourg
RePEc:edi:dqefrch (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," CORE Discussion Papers 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," CORE Discussion Papers 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Deschamps, Philippe J., 2011. "Bayesian Estimation of Generalized Hyperbolic Skewed Student GARCH Models," DQE Working Papers 16, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 09 Jun 2012.
  4. Deschamps, Philippe J., 2009. "Bayesian estimation of an extended local scale stochastic volatility model," DQE Working Papers 15, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.
  5. Deschamps, Philippe J., 2007. "Comparing smooth transition and Markov switching autoregressive models of US Unemployment," DQE Working Papers 7, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 04 Jun 2008.
  6. Deschamps, Philippe J., 2004. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," DQE Working Papers 2, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.
  7. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," CORE Discussion Papers RP 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. Deschamps, P. J., 1996. "Monte Carlo methodology for LM and LR autocorrelation tests in multivariate regression," CORE Discussion Papers RP 1234, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. DESCHAMPS , Philippe J., 1995. "Full Sample Maximum Likelihood Estimation of Dynamic Demand Models," CORE Discussion Papers 1995049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. Deschamps, P.J., 1990. "On Fractional Demand Systems And Budget Share Positivity," Papers 9016, Tilburg - Center for Economic Research.
  11. Deschamps, P.J., 1990. "Joint Tests For Regularity And Autocorrelation In Allocation Systems," Papers 9042, Tilburg - Center for Economic Research.
  12. Deschamps, P., 1990. "Expectations And Intertemporal Separability In An Empirical Model Of Consumption And Investment Under Uncertainty," Papers 9010, Tilburg - Center for Economic Research.
  13. DESCHAMPS, Philippe J., 1977. "Pricing for congestion in telephone networks: A numerical example," CORE Discussion Papers RP 286, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

Articles

  1. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
  2. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
  3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
  4. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
  5. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
  6. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.
  7. Deschamps, Philippe J., 1998. "Full maximum likelihood estimation of dynamic demand models," Journal of Econometrics, Elsevier, vol. 82(2), pages 335-359, February.
  8. Philippe J. Deschamps, 1996. "Monte Carlo Methodology for LM and LR Autocorrelation Tests in Multivariate Regression," Annals of Economics and Statistics, GENES, issue 43, pages 149-169.
  9. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
  10. Deschamps, Philippe J, 1992. "Expectations and Intertemporal Separability in an Empirical Model of Consumption and Investment under Uncertainty," Empirical Economics, Springer, vol. 17(3), pages 419-450.
  11. Deschamps, Philippe J., 1991. "On the Estimated Variances of Regression Coefficients in Misspecified Error Components Models," Econometric Theory, Cambridge University Press, vol. 7(03), pages 369-384, September.
  12. Deschamps, Philippe J., 1988. "A note on the maximum likehood estimation of allocation systems," Computational Statistics & Data Analysis, Elsevier, vol. 6(2), pages 109-112, March.

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. Deschamps, Philippe J., 2011. "Bayesian Estimation of Generalized Hyperbolic Skewed Student GARCH Models," DQE Working Papers 16, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 09 Jun 2012.

    Cited by:

    1. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters,in: Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427 Edward Elgar Publishing.
    2. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," CORE Discussion Papers 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Patricia Lengua & Cristian Bayes & Gabriel Rodríguez, 2015. " A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.

  2. Deschamps, Philippe J., 2009. "Bayesian estimation of an extended local scale stochastic volatility model," DQE Working Papers 15, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.

    Cited by:

    1. de Pinho, Frank M. & Franco, Glaura C. & Silva, Ralph S., 2016. "Modeling volatility using state space models with heavy tailed distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 108-127.

  3. Deschamps, Philippe J., 2007. "Comparing smooth transition and Markov switching autoregressive models of US Unemployment," DQE Working Papers 7, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 04 Jun 2008.

    Cited by:

    1. Di Caro, Paolo, 2014. "Testing and explaining economic resilience with an application to Italian regions," MPRA Paper 60298, University Library of Munich, Germany.
    2. Panayiotis C. Andreou & Christodoulos Louca & Christos S. Savva, 2016. "Short-horizon event study estimation with a STAR model and real contaminated events," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 673-697, October.
    3. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    4. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    5. Rocha, Jordano Vieira & Pereira, Pedro L. Valls, 2015. "Forecast comparison with nonlinear methods for Brazilian industrial production," Textos para discussão 397, FGV/EESP - Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
    6. Cathy W. S. Chen & Sangyeol Lee & Shu-Yu Chen, 2016. "Local non-stationarity test in mean for Markov switching GARCH models: an approximate Bayesian approach," Computational Statistics, Springer, vol. 31(1), pages 1-24, March.
    7. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen Miller, 2010. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 15-01, Eastern Mediterranean University, Department of Economics.
    8. Pesaran, M.H. & Assenmacher-Wesche, K., 2007. "Assessing forecast uncertainties in a VECX* model for Switzerland: an exercise in forecast combination across models and observation windows," Cambridge Working Papers in Economics 0746, Faculty of Economics, University of Cambridge.
    9. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    10. Fredj Jawadi, 2009. "Essay in dividend modelling and forecasting: does nonlinearity help?," Applied Financial Economics, Taylor & Francis Journals, vol. 19(16), pages 1329-1343.
    11. Paolo Di Caro, 2017. "Testing and explaining economic resilience with an application to Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 93-113, March.
    12. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    13. Gonzalo Jesús & Taamouti Abderrahim, 2017. "The reaction of stock market returns to unemployment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-20, September.
    14. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    15. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," CORE Discussion Papers 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    17. Michael J. Dueker & Michael T. Owyang & Martin Sola, 2010. "A time-varying threshold STAR model of unemployment and the natural rate," Working Papers 2010-029, Federal Reserve Bank of St. Louis.
    18. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working papers 2012-38, University of Connecticut, Department of Economics, revised Dec 2013.
    19. Gonzalo, Jesús & Taamouti, Abderrahim, 2012. "The reaction of stock market returns to anticipated unemployment," UC3M Working papers. Economics we1237, Universidad Carlos III de Madrid. Departamento de Economía.
    20. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    21. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    22. Jeremy Schwartz, 2012. "Labor market dynamics over the business cycle: evidence from Markov switching models," Empirical Economics, Springer, vol. 43(1), pages 271-289, August.
    23. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffrey P., 2012. "Nonlinear exchange rate pass-through in timber products: the case of oriented strand board in Canada and the United States," MPRA Paper 40834, University Library of Munich, Germany.
    24. Tom Boot & Andreas Pick, 2014. "Optimal forecasts from Markov switching models," DNB Working Papers 452, Netherlands Central Bank, Research Department.
    25. Donayre, Luiggi & Panovska, Irina, 2016. "Nonlinearities in the U.S. wage Phillips curve," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 19-43.

  4. Deschamps, Philippe J., 2004. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," DQE Working Papers 2, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.

    Cited by:

    1. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    2. Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
    3. David Ardia & Lennart F. Hoogerheide, 2010. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations," Tinbergen Institute Discussion Papers 10-045/4, Tinbergen Institute.
    4. Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    5. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," CORE Discussion Papers 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.
    7. Tomasz Wozniak, 2012. "Granger-causal analysis of VARMA-GARCH models," Economics Working Papers ECO2012/19, European University Institute.
    8. David Ardia, 2009. "Bayesian estimation of a Markov-switching threshold asymmetric GARCH model with Student-t innovations," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 105-126, March.
    9. Ardia, David, 2009. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations in R," MPRA Paper 17414, University Library of Munich, Germany.

  5. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," CORE Discussion Papers RP 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
    2. Ali Hamid E., 2011. "Military Expenditures and Human Development: Guns and Butter Arguments Revisited: A Case Study from Egypt," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-21, September.
    3. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

  6. Deschamps, P. J., 1996. "Monte Carlo methodology for LM and LR autocorrelation tests in multivariate regression," CORE Discussion Papers RP 1234, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    2. DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003. "Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models," Cahiers de recherche 2003-08, Universite de Montreal, Departement de sciences economiques.
    3. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    4. 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. Deschamps, P.J., 1990. "Joint Tests For Regularity And Autocorrelation In Allocation Systems," Papers 9042, Tilburg - Center for Economic Research.

    Cited by:

    1. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    2. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," CORE Discussion Papers RP 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    4. SCHROYEN, Fred, 2011. "Attitudes towards income risk in the presence of quantity constraints," CORE Discussion Papers 2011020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

Articles

  1. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    See citations under working paper version above.
  2. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    See citations under working paper version above.
  3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    See citations under working paper version above.
  4. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    See citations under working paper version above.
  5. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.

    Cited by:

    1. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    2. Mazzocchi, Mario & Lobb, Alexandra E., 2005. "A Latent-Variable Approach to Modelling Multiple and Resurgent Meat Scares in Italy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24509, European Association of Agricultural Economists.
    3. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    4. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.
    5. SCHROYEN, Fred, 2011. "Attitudes towards income risk in the presence of quantity constraints," CORE Discussion Papers 2011020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  6. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

    Cited by:

    1. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    2. Hanrahan, Kevin F. & Westhoff, Patrick C. & Young, Robert E., II, 2001. "Trade Allocation Modeling: Comparing The Results From Armington And Locally Regular Ai Demand System Specifications Of A Uk Beef Import Demand Allocation Model," 2001 Annual meeting, August 5-8, Chicago, IL 20510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
    4. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.

  7. Deschamps, Philippe J., 1998. "Full maximum likelihood estimation of dynamic demand models," Journal of Econometrics, Elsevier, vol. 82(2), pages 335-359, February.
    See citations under working paper version above.
  8. Philippe J. Deschamps, 1996. "Monte Carlo Methodology for LM and LR Autocorrelation Tests in Multivariate Regression," Annals of Economics and Statistics, GENES, issue 43, pages 149-169.
    See citations under working paper version above.
  9. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
    See citations under working paper version above.
  10. Deschamps, Philippe J., 1988. "A note on the maximum likehood estimation of allocation systems," Computational Statistics & Data Analysis, Elsevier, vol. 6(2), pages 109-112, March.

    Cited by:

    1. Pendakur, Krishna & Scholz, Michael & Sperlich, Stefan, 2010. "Semiparametric indirect utility and consumer demand," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2763-2775, November.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 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-ECM: Econometrics (6) 2004-07-26 2007-06-02 2009-12-19 2011-11-14 2016-03-17 2017-02-12. Author is listed
  2. NEP-ETS: Econometric Time Series (5) 2007-06-02 2009-12-19 2011-11-14 2016-03-17 2017-02-12. Author is listed
  3. NEP-FOR: Forecasting (4) 2007-06-02 2009-12-19 2011-11-14 2017-02-12
  4. NEP-ORE: Operations Research (2) 2016-03-17 2017-02-12
  5. NEP-LAB: Labour Economics (1) 2007-06-02
  6. NEP-MAC: Macroeconomics (1) 2007-06-02

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