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Frédéric Karamé

Personal Details

First Name:Frédéric
Middle Name:
Last Name:Karamé
Suffix:
RePEc Short-ID:pka752
http://f.karame.free.fr

Affiliation

(70%) Groupe d'Analyse des Itinéraires et Niveaux Salariaux (GAINS)
Faculté des Sciences Économiques et du Droit
Université du Maine

Le Mans, France
http://www.univ-lemans.fr:80/ecodroit/gains/

: 0243833106
0243833117
Facultéde Droit et de Sciences Économiques, 72085 LE MANS Cedex 9
RePEc:edi:gamaifr (more details at EDIRC)

(20%) TEPP Fédération de Recherche Travail Emploi et Politiques Publiques

Noisy le Grand, France
http://www.tepp.eu/

:

Université Paris-Est Marne La Vallée, 5 bd Descartes, 77454 Champs sur Marne
RePEc:edi:teppnfr (more details at EDIRC)

(10%) Centre pour la Recherche Économique et ses Applications (CEPREMAP)

Paris, France
http://www.cepremap.fr/

: +33(0) 1 43 13 62 30
+33(0) 1 43 13 62 32
48 boulevard Jourdan - 75014 PARIS
RePEc:edi:ceprefr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Frédéric Karamé, 2012. "An Algorithm for Generalized Impulse-Response Functions in Markov-Switching Structural VAR," Documents de recherche 12-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
  2. Frédéric Karamé & Yannick Fondeur, 2012. "Can Google Data Help Predict French Youth Unemployment?," Documents de recherche 12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
  3. Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Maih, Junior & Mihoubi, Ferhat & Perendia, George & Pfeifer, Johannes & Ratto, Marco & Villemot, Sébastien, 2011. "Dynare: Reference Manual Version 4," Dynare Working Papers 1, CEPREMAP, revised Jul 2018.
  4. Frédéric Karamé, 2010. "Impulse-Response Functions in Markov-Switching Structural Vector AutoRegressions: a Step Further," Documents de recherche 10-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
  5. Frédéric Karamé & Alexandra Olmedo, 2010. "Asymmetric Properties of Impulse Response Functions in Markov-Switching Structural Vector AutoRegressions," Documents de recherche 10-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
  6. Frédéric Karamé & Lise Patureau & Thepthida Sopraseuth, 2003. "Limited participation and exchange rate dynamics : does theory meet the data ?," Cahiers de la Maison des Sciences Economiques v04013, Université Panthéon-Sorbonne (Paris 1).
  7. A. Kadareja & F. Karamé & B. Rzepkowski, 2002. "The simulation methodology of the macroeconometric model MARMOTTE," Computing in Economics and Finance 2002 303, Society for Computational Economics.
  8. Frédéric Karamé & Lise Patureau & Thepthida Sopraseuth, 2002. "Can We Beat the Random Walk Forecasts of Out-of-Sample Exchange Rates? A Structural Approach," Computing in Economics and Finance 2002 233, Society for Computational Economics.
  9. Karame, F., 2001. "Can the Mortensen & Pissarides Model Reproduce the Asymmetric Dynamics of US and French Aggregate Gross Job Flows?," Papiers d'Economie Mathématique et Applications 2001.39, Université Panthéon-Sorbonne (Paris 1).
  10. Karame, F., 2000. "Unemployment Persistence : The Hysteresis Assumption Revisited. A Nonlinear Unobserved Components Approach," Papiers d'Economie Mathématique et Applications 2000.21, Université Panthéon-Sorbonne (Paris 1).
  11. Karame, F. & Perraudin, C., 1998. "Asymmetries in the Dynamics of French Job Creation and Destruction Flows," Papiers d'Economie Mathématique et Applications 98.53, Université Panthéon-Sorbonne (Paris 1).

Articles

  1. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.
  2. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
  3. Frédéric Karamé, 2012. "Les fonctions de réponses aux chocs dans les modèles VAR structurels à changements de régimes markovien," Revue d'économie politique, Dalloz, vol. 122(6), pages 851-865.
  4. Karamé, F., 2012. "An algorithm for generalized impulse-response functions in Markov-switching structural VAR," Economics Letters, Elsevier, vol. 117(1), pages 230-234.
  5. Karamé, F., 2010. "Impulse-response functions in Markov-switching structural vector autoregressions: A step further," Economics Letters, Elsevier, vol. 106(3), pages 162-165, March.
  6. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.

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. Frédéric Karamé, 2012. "An Algorithm for Generalized Impulse-Response Functions in Markov-Switching Structural VAR," Documents de recherche 12-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. 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.
    2. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.

  2. Frédéric Karamé & Yannick Fondeur, 2012. "Can Google Data Help Predict French Youth Unemployment?," Documents de recherche 12-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. Askitas, Nikos & Zimmermann, Klaus F., 2015. "The Internet as a Data Source for Advancement in Social Sciences," IZA Discussion Papers 8899, Institute for the Study of Labor (IZA).
    2. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    3. Park, Sungjun & Kim, Jinsoo, 2018. "The effect of interest in renewable energy on US household electricity consumption: An analysis using Google Trends data," Renewable Energy, Elsevier, vol. 127(C), pages 1004-1010.
    4. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    5. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    6. Nuno Barreira & Pedro Godinho & Paulo Melo, 2013. "Nowcasting unemployment rate and new car sales in south-western Europe with Google Trends," Netnomics, Springer, vol. 14(3), pages 129-165, November.
    7. Vicente, María Rosalía & López-Menéndez, Ana J. & Pérez, Rigoberto, 2015. "Forecasting unemployment with internet search data: Does it help to improve predictions when job destruction is skyrocketing?," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 132-139.
    8. Jakub Szymkowiak & Lechosław Kuczyński, 2015. "Avoiding predators in a fluctuating environment: responses of the wood warbler to pulsed resources," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(2), pages 601-608.
    9. Siliverstovs, Boriss & Wochner, Daniel S., 2018. "Google Trends and reality: Do the proportions match?," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 1-23.
    10. Alessia Naccarato & Andrea Pierini & Stefano Falorsi, 2015. "Using Google Trend Data To Predict The Italian Unemployment Rate," Departmental Working Papers of Economics - University 'Roma Tre' 0203, Department of Economics - University Roma Tre.
    11. D’Amuri, Francesco & Marcucci, Juri, 2017. "The predictive power of Google searches in forecasting US unemployment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
    12. Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
    13. Zeynalov, Ayaz, 2017. "Forecasting Tourist Arrivals in Prague: Google Econometrics," MPRA Paper 83268, University Library of Munich, Germany.
    14. Naccarato, Alessia & Falorsi, Stefano & Loriga, Silvia & Pierini, Andrea, 2018. "Combining official and Google Trends data to forecast the Italian youth unemployment rate," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 114-122.
    15. Simionescu, Mihaela & Zimmermann, Klaus F., 2017. "Big Data and Unemployment Analysis," GLO Discussion Paper Series 81, Global Labor Organization (GLO).
    16. Ronald MacDonald & Xuxin Mao, 2015. "An Alternative way of Predicting the Outcome of the Scottish Independence Referendum: The Information in the Ether," SIRE Discussion Papers 2015-69, Scottish Institute for Research in Economics (SIRE).
    17. Branislav Saxa, 2014. "Forecasting Mortgages: Internet Search Data as a Proxy for Mortgage Credit Demand," Working Papers 2014/14, Czech National Bank, Research Department.
    18. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
    19. Botezat, Alina, 2017. "Austerity plan announcements and the impact on the employees’ wellbeing," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 1-16.
    20. Ladislav Kristoufek, 2013. "Can Google Trends search queries contribute to risk diversification?," Papers 1310.1444, arXiv.org.
    21. Voraprapa Nakavachara & Nuarpear Warn Lekfuangfu, 2017. "Predicting the Present Revisited: The Case of Thailand," PIER Discussion Papers 70, Puey Ungphakorn Institute for Economic Research, revised Oct 2017.

  3. Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Maih, Junior & Mihoubi, Ferhat & Perendia, George & Pfeifer, Johannes & Ratto, Marco & Villemot, Sébastien, 2011. "Dynare: Reference Manual Version 4," Dynare Working Papers 1, CEPREMAP, revised Jul 2018.

    Cited by:

    1. Kiley, Michael T., 2015. "What Can the Data Tell Us About the Equilibrium Real Interest Rate?," Finance and Economics Discussion Series 2015-77, Board of Governors of the Federal Reserve System (U.S.).
    2. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo Group Munich.
    3. Paul Kitney, 2015. "Does the central bank respond to credit market factors? A Bayesian DSGE approach," CAMA Working Papers 2015-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Federico Di Pace & Matthias S. Hertweck, 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Working Paper Series of the Department of Economics, University of Konstanz 2012-09, Department of Economics, University of Konstanz.
    5. Gelain, Paolo & Guerrazzi, Marco, 2014. "A demand-driven search model with self-fulfilling expectations: The new `Farmerian' framework under scrutiny," MPRA Paper 55773, University Library of Munich, Germany.
    6. Anella Munro, 2014. "Exchange rates, expected returns and risk: UIP unbound," CAMA Working Papers 2014-73, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. SENBETA, Sisay Regassa, 2013. "Foreign exchange constraints and macroeconomic dynamics in a small open economy," Working Papers 2013023, University of Antwerp, Faculty of Applied Economics.
    8. Guo, Lingyi & Xu, Wenli & Xu, Kun, 2016. "中国财政政策调整的宏观经济效应——基于消费者异质性的新凯恩斯模型
      [The effect of Fiscal Consolidations on Chinese Maroeconomies——Based on The NK Model with Cosummer’s Heterogenicity]      ," MPRA Paper 69170, University Library of Munich, Germany.
    9. Cakir Melek, Nida & Plante, Michael D. & Yucel, Mine K., 2017. "The U.S. Shale Oil Boom, the Oil Export Ban, and the Economy: A General Equilibrium Analysis," Working Papers 1708, Federal Reserve Bank of Dallas, revised 04 Sep 2017.
    10. Angelo M. Fasolo, 2011. "The Accuracy of Perturbation Methods to Solve Small Open Economy Models," Working Papers Series 262, Central Bank of Brazil, Research Department.
    11. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    12. Tom Holden & Michael Paetz, 2012. "Efficient simulation of DSGE models with inequality constraints," School of Economics Discussion Papers 1612, School of Economics, University of Surrey.
    13. Vogel, Lukas & Kollmann, Robert & Ratto, Marco & Roeger, Werner & in 't Veld, Jan, 2015. "What drives the German current account? And how does it affect other EU Member States?," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112810, Verein für Socialpolitik / German Economic Association.
    14. Claire Loupias & Bertrand Wigniolle, 2011. "Population, land and growth," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00609811, HAL.
    15. Alain Gabler, 2014. "Relative Price Fluctuations in a Two-Sector Model with Imperfect Competition," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 474-483, July.
    16. Stylianos Asimakopoulos & James Malley & Konstantinos Angelopoulos, 2014. "Tax smoothing in a business cycle model with capital-skill complementarity," Discussion Papers 2014/11, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    17. Konstantinos Angelopoulos & Stylianos Asimakopoulos & James Malley, 2014. "Optimal progressive taxation in a model with endogenous skill supply," Working Papers 2014_07, Business School - Economics, University of Glasgow.
    18. Benjamin Carton & Dramane Coulibaly & Marc Pourroy, 2016. "Food prices and inflation targeting in emerging economies," Post-Print hal-01386045, HAL.
    19. Fabio Verona & Maik H. Wolters, 2013. "Sticky Information Models in Dynare," CEF.UP Working Papers 1306, Universidade do Porto, Faculdade de Economia do Porto.
    20. in 't Veld, Jan & Kollmann, Robert & Pataracchia, Beatrice & Ratto, Marco & Roeger, Werner, 2014. "International capital flows and the boom-bust cycle in Spain," Journal of International Money and Finance, Elsevier, vol. 48(PB), pages 314-335.
    21. Gilchrist, Simon & Schoenle, Raphael & Sim, Jae W. & Zakrajsek, Egon, 2015. "Inflation Dynamics During the Financial Crisis," Finance and Economics Discussion Series 2015-12, Board of Governors of the Federal Reserve System (U.S.).
    22. Gortz, Christoph & Tsoukalas, John D., 2013. "News Shocks and Business Cycles: Bridging the Gap from Different Methodologies," SIRE Discussion Papers 2013-117, Scottish Institute for Research in Economics (SIRE).
    23. Viktors Ajevskis, 2013. "Non-Local Solutions to Dynamic Equilibrium Models: the Approximate Stable Manifolds Approach," Working Papers 2013/03, Latvijas Banka.
    24. Henriet, F. & Maggiar, N. & Schubert, K., 2014. "A stylized applied energy-economy model for France," Working papers 478, Banque de France.
    25. Hall, Jamie, 2012. "Rapid estimation of nonlinear DSGE models," MPRA Paper 41218, University Library of Munich, Germany.
    26. Buss, Ginters, 2015. "Search-and-matching frictions and labor market dynamics in Latvia," Dynare Working Papers 45, CEPREMAP.
    27. Kaszab, Lorant & Marsal, Ales, 2013. "Fiscal Policy and the Nominal Term Premium," Cardiff Economics Working Papers E2013/13, Cardiff University, Cardiff Business School, Economics Section.
    28. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
    29. Wieland, V. & Afanasyeva, E. & Kuete, M. & Yoo, J., 2016. "New Methods for Macro-Financial Model Comparison and Policy Analysis," Handbook of Macroeconomics, Elsevier.
    30. Andrés González & Sergio Ocampo & Julián Pérez & Diego Rodríguez, 2012. "Output gap and Neutral interest measures for Colombia," BORRADORES DE ECONOMIA 009870, BANCO DE LA REPÚBLICA.
    31. Jacquinot, Pascal & Clancy, Daragh & Lozej, Matija, 2014. "The effects of government spending in a small open economy within a monetary union," Working Paper Series 1727, European Central Bank.
    32. McNelis, Paul D., 2016. "Optimal policy rules at home, crisis and quantitative easing abroad," BOFIT Discussion Papers 15/2016, Bank of Finland, Institute for Economies in Transition.
    33. Polbin, Andrey, 2014. "Econometric estimation of a structural macroeconomic model for the Russian economy," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 3-29.
    34. M. Falagiarda & A. Saia, 2013. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," Working Papers wp916, Dipartimento Scienze Economiche, Universita' di Bologna.
    35. Philippe Bacchetta & Kenza Benhima & Yannick Kalantzis, 2011. "Capital Controls with International Reserve Accumulation: Can this Be Optimal ?," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 11.08, Université de Lausanne, Faculté des HEC, DEEP.
    36. Punnoose Jacob & Gert Peersman, 2013. "Dissecting the dynamics of the US trade balance in an estimated equilibrium model," Reserve Bank of New Zealand Discussion Paper Series DP2013/04, Reserve Bank of New Zealand.
    37. Braun, Sebastian & Weber, Henning, 2016. "How do regional labor markets adjust to immigration? A dynamic analysis for post-war Germany," Kiel Working Papers 2025, Kiel Institute for the World Economy (IfW).
    38. Federico GIRI, 2014. "Does Interbank Market Matter for Business Cycle Fluctuation? An Estimated DSGE Model with Financial Frictions for the Euro Area," Working Papers 398, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    39. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    40. Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
    41. Andrés González & Sergio Ocampo & Diego Rodríguez & Norberto Rodríguez, 2011. "Asimetrías del empleo y el producto, una aproximación de equilibrio general," Borradores de Economia 663, Banco de la Republica de Colombia.
    42. Kiley, Michael T., 2014. "Policy Paradoxes in the New Keynesian Model," Finance and Economics Discussion Series 2014-29, Board of Governors of the Federal Reserve System (U.S.).
    43. Ginters Buss, 2016. "Financial frictions in Latvia," Empirical Economics, Springer, vol. 51(2), pages 547-575, September.
    44. Bjørnar Karlsen Kivedal, 2013. "A New Keynesian Framework and Wage and Price Dynamics in the US," Working Paper Series 15113, Department of Economics, Norwegian University of Science and Technology.
    45. Marek Jarocinski & Albert Marcet, 2013. "Priors about Observables in Vector Autoregressions," UFAE and IAE Working Papers 929.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    46. Epstein, Brendan & Finkelstein Shapiro, Alan, 2017. "Employment and firm heterogeneity, capital allocation, and countercyclical labor market policies," Journal of Development Economics, Elsevier, vol. 127(C), pages 25-41.
    47. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    48. Pawel Baranowski & Mariusz Gorajski & Maciej Malaczewski & Grzegorz Szafranski, 2013. "Inflation in Poland under state-dependent pricing," Discussion Papers 83, Aboa Centre for Economics.
    49. Daragh Clancy & Rossana Merola, 2016. "ÉIRE Mod: A DSGE Model for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(1), pages 1-31.
    50. SENBETA, Sisay Regassa, 2013. "Informality and macroeconomic fluctuations: A small open economy New Keynesian DSGE model with dual labour markets," Working Papers 2013002, University of Antwerp, Faculty of Applied Economics.
    51. Paul Levine, 2010. "Monetary Policy in an Uncertain World : Probability Models and the Design of Robust Monetary Rules," Macroeconomics Working Papers 21853, East Asian Bureau of Economic Research.
    52. Michael T. Kiley, 2014. "The Aggregate Demand Effects of Short- and Long-Term Interest Rates," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 69-104, December.
    53. Andrés González & Sergio Ocampo & Diego Rodríguez & Norberto Rodríguez, 2012. "Asimetrías del empleo y el producto, una aproximación de equilibrio general," Revista Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(68), pages 218-272, June.
    54. Ajevskis Viktors, 2017. "Semi-global solutions to DSGE models: perturbation around a deterministic path," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-28, April.
    55. Simone Meier, 2013. "Financial globalization and monetary transmission," Globalization and Monetary Policy Institute Working Paper 145, Federal Reserve Bank of Dallas.
    56. Robert Kollmann, 2014. "Exchange Rates Dynamics with Long-Run Risk and Recursive Preferences," CAMA Working Papers 2014-70, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    57. Jaccard, Ivan, 2013. "Liquidity constraints, risk premia, and themacroeconomic effects of liquidity shocks," Working Paper Series 1525, European Central Bank.
    58. Annicchiarico, Barbara & Di Dio, Fabio, 2015. "Environmental policy and macroeconomic dynamics in a new Keynesian model," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 1-21.
    59. Hong Lan & Alexander Meyer-Gohde, 2013. "Pruning in Perturbation DSGE Models - Guidance from Nonlinear Moving Average Approximations," SFB 649 Discussion Papers SFB649DP2013-024, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    60. William D. Craighead, 2012. "Monetary Rules and Sectoral Unemployment in Open Economies," Wesleyan Economics Working Papers 2012-001, Wesleyan University, Department of Economics.
    61. Hall, Jamie, 2012. "Consumption dynamics in general equilibrium," MPRA Paper 43933, University Library of Munich, Germany.
    62. Klima, Grzegorz & Retkiewicz-Wijtiwiak, Kaja, 2014. "On automatic derivation of first order conditions in dynamic stochastic optimisation problems," MPRA Paper 55612, University Library of Munich, Germany.
    63. Daniel Němec, 2013. "Investigating Differences Between the Czech and Slovak Labour Market Using a Small DSGE Model with Search and Matching Frictions," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 7(1), pages 021-041, March.
    64. Cheng, G., 2013. "A Growth Perspective on Foreign Reserve Accumulation," Working papers 443, Banque de France.
    65. HOHBERGER, Stefan; PRIFTIS, Romanos; VOGEL, Lukas, 2017. "The macroeconomic effects of quantitative easing in the Euro area : evidence from an estimated DSGE model," Economics Working Papers ECO2017/04, European University Institute.
    66. Lan, Hong & Meyer-Gohde, Alexander, 2012. "Existence and Uniqueness of Perturbation Solutions in DSGE Models," Dynare Working Papers 14, CEPREMAP.
    67. Miguel Casares & Hashmat Khan & Jean-Christophe Poutineau, 2018. "A Structural Analysis of US Entry and Exit Dynamics," Carleton Economic Papers 18-02, Carleton University, Department of Economics.
    68. Matteo Falagiarda, 2014. "Evaluating quantitative easing: a DSGE approach," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 7(4), pages 302-327.
    69. Tovonony Razafindrabe, 2014. "A multi-country DSGE model with incomplete Exchange Rate Passthrough: application for the Euro area," Working Papers 2014-83, Department of Research, Ipag Business School.
    70. Maliar, Lilia & Maliar, Serguei & Villemot, Sébastien, 2011. "Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions," Dynare Working Papers 6, CEPREMAP, revised Jul 2012.
    71. James M. Nason & Ellis W. Tallman, 2012. "Business cycles and financial crises: the roles of credit supply and demand shocks," Working Paper 1221, Federal Reserve Bank of Cleveland, revised 01 Aug 2013.
    72. Dmitry Plotnikov, 2013. "Hysteresis in Unemployment and Jobless Recoveries," 2013 Meeting Papers 208, Society for Economic Dynamics.
    73. Sumru Altug & Serdar Kabaca, 2014. "Search Frictions, Financial Frictions and Labour Market Fluctuations in Emerging Markets," Staff Working Papers 14-35, Bank of Canada.
    74. Hong Lan & Alexander Meyer-Gohde, 2013. "Decomposing Risk in Dynamic Stochastic General Equilibrium," SFB 649 Discussion Papers SFB649DP2013-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    75. Junghoon Lee, 2016. "Technological Change and Reallocation," Emory Economics 1604, Department of Economics, Emory University (Atlanta).
    76. Holden, Tom D. & Levine, Paul & Swarbrick, Jonathan M., 2017. "Credit crunches from occasionally binding bank borrowing constraints," EconStor Preprints 168441, ZBW - German National Library of Economics.
    77. Kiley, Michael T. & Sim, Jae, 2017. "Optimal monetary and macroprudential policies: Gains and pitfalls in a model of financial intermediation," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 232-259.
    78. Marto, Ricardo, 2013. "Assessing the Impacts of Non-Ricardian Households in an Estimated New Keynesian DSGE Model," MPRA Paper 55647, University Library of Munich, Germany.
    79. Sohei Kaihatsu & Takushi Kurozumi, 2010. "Sources of Business Fluctuations: Financial or Technology Shocks?," Bank of Japan Working Paper Series 10-E-12, Bank of Japan.
    80. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2017. "Uncertainty Shocks and Firm Dynamics: Search and Monitoring in the Credit Market," CEPREMAP Working Papers (Docweb) 1707, CEPREMAP.
    81. Sumru Altug & Serdar Kabaca & Meltem Poyraz, 2011. "Search Frictions, Financial Frictions and Labor Market Fluctuations in Emerging Economies," Koç University-TUSIAD Economic Research Forum Working Papers 1136, Koc University-TUSIAD Economic Research Forum.
    82. Jan in 't Veld & Andrea Pagano & Rafal Raciborski & Marco Ratto & Werner Roeger, 2012. "Imbalances and rebalancing scenarios in an estimated structural model for Spain," European Economy - Economic Papers 2008 - 2015 458, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    83. Joris de Wind, 2017. "SMOOTHIES: A Toolbox for the Exact Nonlinear and Non-Gaussian Kalman Smoother," CPB Discussion Paper 360, CPB Netherlands Bureau for Economic Policy Analysis.
    84. Engin Kara & Jasmin Sin, 2013. "Liquidity, Quantitative Easing and Optimal Monetary Policy," Bristol Economics Discussion Papers 13/635, Department of Economics, University of Bristol, UK.
    85. Alexander Meyer-Gohde, 2014. "Risky Linear Approximations," SFB 649 Discussion Papers SFB649DP2014-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    86. Nicolas Petrosky-Nadeau & Lu Zhang, 2013. "Solving the DMP Model Accurately," NBER Working Papers 19208, National Bureau of Economic Research, Inc.
    87. Kienzler, Daniel, 2012. "Long-term Unemployment over the Business Cycle, Skill Loss, and Monetary Policy," Working Papers on Finance 1205, University of St. Gallen, School of Finance.
    88. Buss, Ginters, 2015. "Financial frictions in a DSGE model for Latvia," Dynare Working Papers 42, CEPREMAP.
    89. Hashmat Khan & Abeer Reza, 2013. "House Prices and Government Spending Shocks," Carleton Economic Papers 13-10, Carleton University, Department of Economics, revised 14 Sep 2016.
    90. Hüseyin Taştan & Bekir Aşık, 2014. "A Bayesian Estimation of Real Business-Cycle Models for the Turkish Economy," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 3(2), pages 27-50, May.
    91. Naohisa Hirakata & Takushi Kurozumi, 2013. "The International Finance Multiplier in Business Cycle Fluctuations," IMES Discussion Paper Series 13-E-12, Institute for Monetary and Economic Studies, Bank of Japan.
    92. Konstantinos Angelopoulos & Andrea Benecchi & James Malley, 2017. "Can subsidising job-related training reduce inequality?," Working Papers 2017_10, Business School - Economics, University of Glasgow.
    93. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    94. Villarreal, Francisco G., 2014. "Monetary Policy and Inequality in Mexico," MPRA Paper 57074, University Library of Munich, Germany.
    95. Hong Lan, 2018. "Comparing Solution Methods for DSGE Models with Labor Market Search," Computational Economics, Springer;Society for Computational Economics, vol. 51(1), pages 1-34, January.
    96. Tom Holden, 2012. "Medium-frequency cycles and the remarkable near trend-stationarity of output," School of Economics Discussion Papers 1412, School of Economics, University of Surrey.
    97. Punnoose Jacob & Martin Wong, 2018. "Estimating the NAIRU and the Natural Rate of Unemployment for New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2018/04, Reserve Bank of New Zealand.
    98. Sergey Ivashchenko, 2014. "DSGE Model Estimation on the Basis of Second-Order Approximation," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 71-82, January.
    99. Vargas, Jose P Mauricio, 2012. "To be or not to be informal?: A Structural Simulation," MPRA Paper 41290, University Library of Munich, Germany.
    100. Daniele Siena, 2017. "What's News in International Business Cycles," 2017 Meeting Papers 1206, Society for Economic Dynamics.
    101. Craighead, William, 2017. "Intermediate Goods and Exchange Rate Disconnect," MPRA Paper 83075, University Library of Munich, Germany.

  4. Frédéric Karamé, 2010. "Impulse-Response Functions in Markov-Switching Structural Vector AutoRegressions: a Step Further," Documents de recherche 10-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. Camacho, Maximo & Pérez-Quirós, Gabriel, 2013. "Commodity prices and the business cycle in Latin America: Living and dying by commodities?," CEPR Discussion Papers 9367, C.E.P.R. Discussion Papers.
    2. Frédéric Karamé, 2012. "An Algorithm for Generalized Impulse-Response Functions in Markov-Switching Structural VAR," Documents de recherche 12-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    3. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.
    4. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.

  5. Frédéric Karamé & Alexandra Olmedo, 2010. "Asymmetric Properties of Impulse Response Functions in Markov-Switching Structural Vector AutoRegressions," Documents de recherche 10-04, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.

    Cited by:

    1. Camacho, Maximo & Pérez-Quirós, Gabriel, 2013. "Commodity prices and the business cycle in Latin America: Living and dying by commodities?," CEPR Discussion Papers 9367, C.E.P.R. Discussion Papers.
    2. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.
    3. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.

  6. Frédéric Karamé & Lise Patureau & Thepthida Sopraseuth, 2003. "Limited participation and exchange rate dynamics : does theory meet the data ?," Cahiers de la Maison des Sciences Economiques v04013, Université Panthéon-Sorbonne (Paris 1).

    Cited by:

    1. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    2. Julien Albertini & Hong Lan, 2016. "The importance of time-varying parameters in new Keynesian models with zero lower bound," SFB 649 Discussion Papers SFB649DP2016-013, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Diego E. Vacaflores, 2011. "Monetary Stimulus: Through Wall Street or Main Street?," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 14(1), pages 9-40, June.
    4. de Blas, Beatriz, 2010. "Exchange rate dynamics in economies with portfolio rigidities," International Review of Economics & Finance, Elsevier, vol. 19(3), pages 366-382, June.
    5. Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2011. "Moment matching versus Bayesian estimation: Backward-looking behaviour in the new-Keynesian three-equations model," Economics Working Papers 2011-10, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Reiner Franke, 2018. "Competitive moment matching of a New-Keynesian and an Old-Keynesian model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 201-239, July.
    7. Franke, Reiner, 2013. "Competitive Moment Matching of a New-Keynesian and an Old-Keynesian Model," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79988, Verein für Socialpolitik / German Economic Association.
    8. Diego E. Vacaflores, 2013. "Monetary Transfers in the U.S.: How Efficient Are Tax Rebates?," Economies, MDPI, Open Access Journal, vol. 1(3), pages 1-23, November.

  7. Frédéric Karamé & Lise Patureau & Thepthida Sopraseuth, 2002. "Can We Beat the Random Walk Forecasts of Out-of-Sample Exchange Rates? A Structural Approach," Computing in Economics and Finance 2002 233, Society for Computational Economics.

    Cited by:

    1. Otavio De Medeiros, 2005. "Order Flow and Exchange Rate Dynamics in Brazil," Finance 0503019, University Library of Munich, Germany.

Articles

  1. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    See citations under working paper version above.
  2. Karamé, F., 2012. "An algorithm for generalized impulse-response functions in Markov-switching structural VAR," Economics Letters, Elsevier, vol. 117(1), pages 230-234.
    See citations under working paper version above.
  3. Karamé, F., 2010. "Impulse-response functions in Markov-switching structural vector autoregressions: A step further," Economics Letters, Elsevier, vol. 106(3), pages 162-165, March.
    See citations under working paper version above.
  4. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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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-ETS: Econometric Time Series (2) 2003-10-20 2013-04-13
  2. NEP-FIN: Finance (2) 2004-12-12 2004-12-15
  3. NEP-IFN: International Finance (2) 2003-10-20 2004-12-12
  4. NEP-ECM: Econometrics (1) 2013-04-13
  5. NEP-FOR: Forecasting (1) 2013-04-13

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