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Karim Barhoumi

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.

    Mentioned in:

    1. Guest Contribution: “Nowcasting Global GDP Growth”
      by Menzie Chinn in Econbrowser on 2015-03-12 09:56:18

Working papers

  1. Karim Barhoumi & Ha Vu & Shirin Nikaein Towfighian & Mr. Rodolfo Maino, 2018. "Public Investment Efficiency in Sub-Saharan African Countries," IMF Departmental Papers / Policy Papers 2018/008, International Monetary Fund.

    Cited by:

    1. Elhadj Ezzahid & Hamid Rafik, 2024. "Analyzing the Impact of Public Capital on Private Capital Productivity in a Panel of African Nations," Economies, MDPI, vol. 12(5), pages 1-18, May.

  2. Laurent Ferrara & Olivier Darné & Karim Barhoumi, 2016. "A world trade leading index (WLTI)," Post-Print hal-01635948, HAL.

    Cited by:

    1. Jaime Martínez-Martín & Elena Rusticelli, 2020. "Keeping track of global trade in real time," Working Papers 2019, Banco de España.
    2. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," The World Economy, Wiley Blackwell, vol. 45(10), pages 3169-3191, October.
    3. Menzie Chinn & Baptiste Meunier & Sebastian Stumpner, 2023. "Nowcasting world trade in real time with machine learning [Estimation du commerce mondial en temps réel grâce à l’apprentissage automatique]," Bulletin de la Banque de France, Banque de France, issue 248.
    4. Çiðdem Kurt Cihangir, 2018. "Küresel Risk Algýsýnýn Küresel Ticaret Üzerindeki Etkisi," Isletme ve Iktisat Calismalari Dergisi, Econjournals, vol. 6(1), pages 1-10.

  3. Karim Barhoumi & Reda Cherif & Mr. Nooman Rebei, 2016. "Stochastic Trends, Debt Sustainability and Fiscal Policy," IMF Working Papers 2016/059, International Monetary Fund.

    Cited by:

    1. Fuad Mammadov & Adigozalov Shaig, 2017. "Are fiscal rules helpful in mitigating the impact of oil market fluctuations?," IHEID Working Papers 22-2017, Economics Section, The Graduate Institute of International Studies.

  4. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Une revue de la littérature des modèles à facteurs dynamiques," Post-Print hal-01385940, HAL.

    Cited by:

    1. Mouloud El Hafidi & Marouane Daoui, 2019. "Chocs de la politique monétaire et croissance économique au Maroc : une approche en terme de modèles FAVAR," Post-Print hal-03311354, HAL.

  5. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.

    Cited by:

    1. Carlos Cesar Trucios-Maza & João H. G Mazzeu & Luis K. Hotta & Pedro L. Valls Pereira & Marc Hallin, 2019. "On the robustness of the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Working Papers ECARES 2019-32, ULB -- Universite Libre de Bruxelles.
    2. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2019. "Synchronization Patterns in the European Union," GREDEG Working Papers 2019-30, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Hui ‘Fox’ Ling & Christian Franzen, 2017. "Online learning of time-varying stochastic factor structure by variational sequential Bayesian factor analysis," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1277-1304, August.
    4. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    5. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
    6. Amélie Charles & Olivier Darné, 2022. "Backcasting world trade growth using data reduction methods," The World Economy, Wiley Blackwell, vol. 45(10), pages 3169-3191, October.
    7. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    8. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    9. L. Ferrara. & G. Sestieri., 2014. "US labour market and monetary policy: current debates and challenges," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 36, pages 111-129, winter.
    10. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Hallin, Marc, 2020. "Robustness and the general dynamic factor model with infinite-dimensional space: identification, estimation, and forecasting," Textos para discussão 521, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    11. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    12. Helmut Herwartz & Christian Ochsner & Hannes Rohloff, 2021. "The Credit Composition of Global Liquidity," MAGKS Papers on Economics 202115, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    13. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Markov-switching dynamic factor models in real time," Working Papers 1205, Banco de España.
    14. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy," Post-Print hal-01549625, HAL.
    15. Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
    16. Juan Laborda & Sonia Ruano & Ignacio Zamanillo, 2023. "Multi-Country and Multi-Horizon GDP Forecasting Using Temporal Fusion Transformers," Mathematics, MDPI, vol. 11(12), pages 1-26, June.
    17. Duangnate, Kannika & Mjelde, James W., 2017. "Comparison of data-rich and small-scale data time series models generating probabilistic forecasts: An application to U.S. natural gas gross withdrawals," Energy Economics, Elsevier, vol. 65(C), pages 411-423.
    18. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy: Evidence from an Uncertainty Composite Indicator," Working Papers 2017-25, CEPII research center.
    19. Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
    20. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
    21. Ferrara , L. & Marsilli, C., 2016. "Nowcasting global economic growth," Rue de la Banque, Banque de France, issue 23, April..
    22. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    23. Marijn A. Bolhuis & Brett Rayner, 2020. "Deus ex Machina? A Framework for Macro Forecasting with Machine Learning," IMF Working Papers 2020/045, International Monetary Fund.
    24. Denisa BANULESCU-RADU & Laurent FERRARA & Clément MARSILLI, 2019. "Prévoir la volatilité d’un actif financier à l’aide d’un modèle à mélange de fréquences," LEO Working Papers / DR LEO 2710, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    25. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

  6. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Testing the number of factors: An empirical assessment for forecasting purposes," Post-Print hal-01385876, HAL.

    Cited by:

    1. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    2. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    3. Mahmut Günay, 2015. "Forecasting Turkish Industrial Production Growth With Static Factor Models," International Econometric Review (IER), Econometric Research Association, vol. 7(2), pages 64-78, September.
    4. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    5. Karim Barhoumi & Laurent Ferrara, 2015. "A World Trade Leading Index (WTLI)," IMF Working Papers 2015/020, International Monetary Fund.
    6. Berg, Tim Oliver & Henzel, Steffen, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79783, Verein für Socialpolitik / German Economic Association.
    7. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    8. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    9. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    10. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    11. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-37.
    12. Tim Oliver Berg & Steffen Henzel, 2014. "Point and Density Forecasts for the Euro Area Using Bayesian VARs," CESifo Working Paper Series 4711, CESifo.
    13. Kappler, Marcus & Schleer, Frauke, 2013. "How many factors and shocks cause financial stress?," ZEW Discussion Papers 13-100, ZEW - Leibniz Centre for European Economic Research.

  7. Antipa, P. & Barhoumi, K. & Brunhes-Lesage, V. & Darné, O., 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Working papers 401, Banque de France.

    Cited by:

    1. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    2. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    3. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Bosupeng, Mpho, 2015. "On Exports and Economic Growth-Multifarious Economies Perspective," MPRA Paper 77922, University Library of Munich, Germany, revised 2015.
    5. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    6. Radoslaw Sobko & Maria Klonowska-Matynia, 2021. "The Relationship between the Purchasing Managers’ Index (PMI) and Economic Growth: The Case for Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 198-219.
    7. Bosupeng, Mpho, 2015. "The Export-Led Growth Hypothesis: New Evidence and Implications," MPRA Paper 77917, University Library of Munich, Germany, revised Jun 2015.
    8. Petralias, Athanassios & Petros, Sotirios & Prodromídis, Pródromos, 2013. "Greece in recession: economic predictions, mispredictions and policy implications," LSE Research Online Documents on Economics 52626, London School of Economics and Political Science, LSE Library.
    9. Abdić Ademir & Resić Emina & Abdić Adem, 2020. "Modelling and forecasting GDP using factor model: An empirical study from Bosnia and Herzegovina," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 10-26, May.
    10. Abdić Ademir & Resić Emina & Abdić Adem & Rovčanin Adnan, 2020. "Nowcasting GDP of Bosnia and Herzegovina: A Comparison of Forecast Accuracy Models," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 1-14, December.
    11. Priscila Espinosa & Jose M. Pavía, 2023. "Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement," Forecasting, MDPI, vol. 5(2), pages 1-19, April.
    12. Müller-Kademann Christian, 2015. "Internal Validation of Temporal Disaggregation: A Cloud Chamber Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(3), pages 298-319, June.
    13. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    14. Tomas Adam & Filip Novotny, 2018. "Assessing the External Demand of the Czech Economy: Nowcasting Foreign GDP Using Bridge Equations," Working Papers 2018/18, Czech National Bank.
    15. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    16. Eric W. K. See-To & Eric W. T. Ngai, 2018. "Customer reviews for demand distribution and sales nowcasting: a big data approach," Annals of Operations Research, Springer, vol. 270(1), pages 415-431, November.
    17. Stavros Degiannakis, 2023. "The D-model for GDP nowcasting," Working Papers 317, Bank of Greece.
    18. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    19. Dimitra Lamprou, 2015. "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 85-100.
    20. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.
    21. Kitlinski, Tobias, 2015. "With or without you: Do financial data help to forecast industrial production?," Ruhr Economic Papers 558, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  8. Karim Barhoumi & Olivier Darné & Laurent Ferrara & Bertrand Pluyaud, 2012. "Monthly GDP forecasting using bridge models: Comparison from the supply and demand sides for the French economy," Post-Print hal-01385807, HAL.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Olivier Darne & Amelie Charles, 2020. "Nowcasting GDP growth using data reduction methods: Evidence for the French economy," Economics Bulletin, AccessEcon, vol. 40(3), pages 2431-2439.
    3. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    4. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    5. Frédérique Savignac & Erwan Gautier & Yuriy Gorodnichenko & Olivier Coibion, 2021. "Firms’ Inflation Expectations: New Evidence from France," Working papers 840, Banque de France.
    6. Dr. Gregor Bäurle & Elizabeth Steiner & Dr. Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
    7. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.

  9. de Bandt, O. & Barhoumi, K. & Bruneau, C., 2010. "The international transmission of house price shocks," Working papers 274, Banque de France.

    Cited by:

    1. Dufrénot, Gilles & Malik, Sheheryar, 2012. "The changing role of house price dynamics over the business cycle," Economic Modelling, Elsevier, vol. 29(5), pages 1960-1967.
    2. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    3. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries: A FAVAR Model Under Bayesian Framework," Working Papers hal-04141045, HAL.
    4. Miles, William, 2020. "House price convergence in the euro zone: A pairwise approach," Economic Systems, Elsevier, vol. 44(3).
    5. Christophe André, 2010. "A Bird's Eye View of OECD Housing Markets," OECD Economics Department Working Papers 746, OECD Publishing.
    6. Leszczyński, Robert & Olszewski, Krzysztof, 2014. "Panel analysis of home prices in the primary and secondary market in 17 largest cities in Poland," MPRA Paper 59017, University Library of Munich, Germany.
    7. Hahn Shik Lee & Woo Suk Lee, 2018. "Housing market volatility connectedness among G7 countries," Applied Economics Letters, Taylor & Francis Journals, vol. 25(3), pages 146-151, February.
    8. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Adel Bosch & Rangan Gupta, 2014. "Housing and the Business Cycle in South Africa," Working Papers 15-22, Eastern Mediterranean University, Department of Economics.
    9. Tsai, I-Chun, 2018. "House price convergence in euro zone and non-euro zone countries," Economic Systems, Elsevier, vol. 42(2), pages 269-281.
    10. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries : A FAVAR Model Under Bayesian Framework," EconomiX Working Papers 2012-40, University of Paris Nanterre, EconomiX.
    11. Miles, William, 2017. "Has there actually been a sustained increase in the synchronization of house price (and business) cycles across countries?," Journal of Housing Economics, Elsevier, vol. 36(C), pages 25-43.
    12. Katharina Pijnenburg, 2013. "The Spatial Dimension of US House Price Developments," Discussion Papers of DIW Berlin 1270, DIW Berlin, German Institute for Economic Research.
    13. Beatrice D. Simo-Kengne & Rangan Gupta & Manoel Bittencourt, 2013. "The Impact of House Prices on Consumption in South Africa: Evidence from Provincial-Level Panel VARs," Housing Studies, Taylor & Francis Journals, vol. 28(8), pages 1133-1154, November.
    14. Maynou, Laia & Monfort, Mercedes & Morley, Bruce & Ordóñez, Javier, 2021. "Club convergence in European housing prices: The role of macroeconomic and housing market fundamentals," Economic Modelling, Elsevier, vol. 103(C).
    15. Daragh Clancy & Rossana Merola, 2016. "Countercyclical capital rules for small open economies," Working Papers 10, European Stability Mechanism.
    16. de Bandt,O. & Malik, S., 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
    17. Mohamed BELHEDI & Ines SLAMA & Amine LAHIANI, 2015. "Tranmission Of International Shocks To An Emerging Small Open-Economy: Evidence From Tunisia," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 42, pages 231-258.
    18. Christophe André & Rangan Gupta & Patrick T. Kanda, 2012. "Do House Prices Impact Consumption and Interest Rate?: Evidence from OECD Countries Using an Agnostic Identification Procedure," OECD Economics Department Working Papers 947, OECD Publishing.
    19. Jose Eduardo Gomez-Gonzalez & Juliana Gamboa-Arbeláez & Jorge Hirs-Garzón & Andrés Pinchao-Rosero, 2018. "When Bubble Meets Bubble: Contagion in OECD Countries," The Journal of Real Estate Finance and Economics, Springer, vol. 56(4), pages 546-566, May.
    20. Pijnenburg, Katharina, 2017. "The spatial dimension of US house prices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(2), pages 466-481.
    21. Ming-Chu Chiang & I-Chun Tsai, 2020. "Importance of Proper Monetary Liquidity: Sustainable Development of the Housing and Stock Markets," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    22. Rangan Gupta & Christophe André & Luis Gil-Alana, 2015. "Comovement in Euro area housing prices: A fractional cointegration approach," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3123-3143, December.
    23. Katharina Pijnenburg, 2017. "The spatial dimension of US house prices," Urban Studies, Urban Studies Journal Limited, vol. 54(2), pages 466-481, February.
    24. Katharina Pijnenburg, 2014. "The Spatial Dimension of US House Price Developments," ERSA conference papers ersa14p127, European Regional Science Association.
    25. Andreas Merikas & Anna Merika & Nikiforos Laopodis & Anna Triantafyllou, 2012. "House Price Comovements in the Eurozone Economies," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 71-98.
    26. Robertson, Raymond & Kumar, Anil & Dutkowsky, Donald H., 2014. "Weak-form and strong-form purchasing power parity between the US and Mexico: A panel cointegration investigation," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 241-262.
    27. Jing Wu & Yongheng Deng, 2015. "Intercity Information Diffusion and Price Discovery in Housing Markets: Evidence from Google Searches," The Journal of Real Estate Finance and Economics, Springer, vol. 50(3), pages 289-306, April.
    28. Agyemang, Abraham & Chowdhury, Iftekhar & Balli, Faruk, 2021. "Quantifying Return Spillovers in Global Real Estate Markets," Journal of Housing Economics, Elsevier, vol. 52(C).

  10. Barhoumi, K. & Darné, O. & Ferrara, L., 2009. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Working papers 232, Banque de France.

    Cited by:

    1. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    2. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    3. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    4. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    5. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    6. Branimir, Jovanovic & Magdalena, Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," MPRA Paper 43162, University Library of Munich, Germany.
    7. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    8. Mahmut Günay, 2015. "Forecasting Turkish Industrial Production Growth With Static Factor Models," International Econometric Review (IER), Econometric Research Association, vol. 7(2), pages 64-78, September.
    9. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    10. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    11. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    12. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    13. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    14. Karen Poghosyan, 2015. "Alternative models for forecasting the key macroeconomic variables in Armenia (in Russian)," Quantile, Quantile, issue 13, pages 25-39, May.
    15. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    16. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    17. Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
    18. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," Munich Reprints in Economics 78264, University of Munich, Department of Economics.
    19. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
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    21. Zubarev Andrey & Rybak Konstantin, 2021. "GDP Nowcasting: Dynamic Factor Model vs. Official Forecasts [Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.
    22. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
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    26. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    27. Barış Soybilgen & Ege Yazgan, 2021. "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 387-417, January.
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    29. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    30. Baris Soybilgen, 2017. "Identifying Us Business Cycle Regimes Using Factor Augmented Neural Network Models," Working Papers 1703, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    31. Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of North Macedonia, revised Aug 2010.
    32. Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper, 2017. "An Early Warning System for currency crises in Argentina and Brazil 1990-2009," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 14(2), pages 47-68, Julio-Dic.
    33. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    34. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    35. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    36. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    37. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    38. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    39. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    40. Zubarev Andrey & Rybak Konstantin, 2021. "Наукастинг Ввп: Динамическая Факторная Модель И Официальные Прогнозы," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 34-40, December.
    41. Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper, 2011. "Why didn't the Global Financial Crisis hit Latin America?," CIRANO Working Papers 2011s-63, CIRANO.
    42. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," Post-Print hal-03461522, HAL.
    43. Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
    44. Francisco Dias & Maximiano Pinheiro & António Rua, 2018. "A bottom-up approach for forecasting GDP in a data-rich environment," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 718-723, June.
    45. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.
    46. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    47. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    48. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    49. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    50. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
    51. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    52. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    53. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    54. Zdeněk Zmeškal & Dana Dluhošová & Karolina Lisztwanová & Antonín Pončík & Iveta Ratmanová, 2023. "Distribution Prediction of Decomposed Relative EVA Measure with Levy-Driven Mean-Reversion Processes: The Case of an Automotive Sector of a Small Open Economy," Forecasting, MDPI, vol. 5(2), pages 1-19, May.
    55. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," SciencePo Working papers Main hal-03461522, HAL.
    56. Jason Angelopoulos & Costas I. Chlomoudis, 2017. "A Generalized Dynamic Factor Model for the U.S. Port Sector," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(1), pages 22-37, January-M.
    57. Chatelais, Nicolas & Stalla-Bourdillon, Arthur & Chinn, Menzie D., 2023. "Forecasting real activity using cross-sectoral stock market information," Journal of International Money and Finance, Elsevier, vol. 131(C).
    58. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    59. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    60. Nicolas Chatelais & Arthur Stalla-Bourdillon & Menzie D. Chinn, 2022. "Macroeconomic Forecasting using Filtered Signals from a Stock Market Cross Section," NBER Working Papers 30305, National Bureau of Economic Research, Inc.
    61. Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
    62. Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
    63. Dimitra Lamprou, 2015. "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 85-100.
    64. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    65. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    66. Daniel Armeanu & Jean Vasile Andrei & Leonard Lache & Mirela Panait, 2017. "A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    67. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    68. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.
    69. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    70. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
    71. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    72. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    73. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    74. Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.

  11. Barhoumi, K. & Jouini, J., 2008. "Revisiting the Decline i he Exchange Rate Pass-Through: Further Evidence from Developing Countries," Working papers 213, Banque de France.

    Cited by:

    1. Dahem, Ahlem & Siala Guermazi, Fatma, 2016. "Exchange rate Pass-through and Monetary Policy in Transition Economy: Evidence from Tunisia with disaggregated VAR Analysis," MPRA Paper 74179, University Library of Munich, Germany.
    2. María Lorena Marí del Cristo & Marta Gómez-Puig, 2012. "“Pass-through in dollarized countries: should Ecuador abandon the U.S. Dollar?”," IREA Working Papers 201216, University of Barcelona, Research Institute of Applied Economics, revised Oct 2012.
    3. Fatma Marrakchi Charfi & Mohamed Kadria, 2016. "Incomplete Exchange Rate Pass-Through Transmission To Prices: An Svar Model For Tunisia," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 1-23, December.
    4. Barhoumi, Karim, 2006. "Exchange Rate Pass-Through and Structural Macroeconomic Shocks in Developing Countries: An Empirical Investigation," MPRA Paper 6573, University Library of Munich, Germany, revised 13 Oct 2007.
    5. Barhoumi Karim, 2009. "How Structural Macroeconomic Shocks Can Explain Exchange Rate Pass-Through in Developing Countries: A Common Trend Approach," Global Economy Journal, De Gruyter, vol. 9(2), pages 1-37, June.
    6. García-Solanes, José & Torrejón-Flores, Fernando, 2010. "Devaluation and pass-through in indebted and risky economies," International Review of Economics & Finance, Elsevier, vol. 19(1), pages 36-45, January.
    7. Comunale, Mariarosaria & Simola, Heli, 2016. "The pass-through to consumer prices in CIS economies: The role of exchange rates, commodities and other common factors," BOFIT Discussion Papers 16/2016, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Siew-Voon Soon & Ahmad Zubaidi Baharumshah, 2017. "Exchange Rate Pass-through (ERPT) into Domestic Prices: Evidence from a Nonlinear Perspective," Economics Bulletin, AccessEcon, vol. 37(2), pages 1160-1167.
    9. Ahlem Dahem1 & Fatma Siala Guermazi, 2016. "Exchange Rate Pass-through and Monetary Policy in Transition Economy: Evidence from Tunisia with a Disaggregated VAR Analysis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 50-63.
    10. Luyinduladio, Menga, 2010. "Degré de répercussion du Taux de change sur l’Inflation en République Démocratique du Congo de 2002 à 2007 [Pass-Through of Exchange rate to inflation in DRC 2002 to 2007]," MPRA Paper 21970, University Library of Munich, Germany.
    11. Christian Pinshi & Emmanuel Sungani, 2018. "The Relevance Of Pass-Through Effect: Should We Revisit Monetary Policy Regime?," Post-Print hal-02566800, HAL.
    12. Aleem, Abdul & Lahiani, Amine, 2014. "Monetary policy credibility and exchange rate pass-through: Some evidence from emerging countries," Economic Modelling, Elsevier, vol. 43(C), pages 21-29.
    13. Khemiri, Rim & Ali, Mohamed Sami Ben, 2013. "Exchange rate pass-through and inflation dynamics in Tunisia: A Markov-switching approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-30.

  12. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    3. Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
    4. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    5. Esteves, Paulo Soares, 2013. "Direct vs bottom–up approach when forecasting GDP: Reconciling literature results with institutional practice," Economic Modelling, Elsevier, vol. 33(C), pages 416-420.
    6. Marie Bessec, 2010. "Étalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture," Économie et Prévision, Programme National Persée, vol. 193(2), pages 77-99.
    7. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
    8. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    10. Ferrara, L., 2008. "The contribution of cyclical turning point indicators to business cycle analysis," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 49-61, Autumn.
    11. Tomasz Jasiński & Paweł Mielcarz, 2013. "Consumption as a Factor of Polish Economic Growth During the Global Recession of 2008/2009: A Comparison with Spain and Hungary," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    12. Barhoumi, K. & Brunhes-Lesage, V. & Ferrara, L. & Pluyaud, B. & Rouvreau, B. & Darné, O., 2008. "OPTIM: a quarterly forecasting tool for French GDP," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 31-47, Autumn.
    13. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.

  13. Barhoumi, K. & Rünstler, G. & Cristadoro, R. & Den Reijer, A. & Jakaitiene, A. & Jelonek, P. & Rua, A. & Ruth, K. & Benk, S. & Van Nieuwenhuyze, C., 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Working papers 215, Banque de France.

    Cited by:

    1. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    2. Dorrucci, Ettore & Meyer-Cirkel, Alexis & Santabárbara, Daniel, 2009. "Domestic financial development in emerging economies: evidence and implications," Occasional Paper Series 102, European Central Bank.
    3. Sturm, Michael & Adolf, Petra & Peschel, Dominik & Stráský, Jan, 2008. "The Gulf Cooperation Council countries: economic structures, recent developments and role in the global economy," Occasional Paper Series 92, European Central Bank.
    4. Audrone Jakaitiene & Stephane Dees, 2012. "Forecasting the World Economy in the Short Term," The World Economy, Wiley Blackwell, vol. 35(3), pages 331-350, March.
    5. Cecilia Frale & Libero Monteforte, "undated". "FaMIDAS: A Mixed Frequency Factor Model with MIDAS structure," Working Papers 3, Department of the Treasury, Ministry of the Economy and of Finance.
    6. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
    7. Taglioni, Daria & Straub, Roland & Bussière, Matthieu & Pérez-Barreiro, Emilia, 2010. "Protectionist responses to the crisis – global trends and implications," Occasional Paper Series 110, European Central Bank.
    8. Deicy J. Cristiano & Manuel D. Hernández & José David Pulido, 2012. "Pronósticos de corto plazo en tiempo real para la actividad económica colombiana," Borradores de Economia 9827, Banco de la Republica.
    9. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    10. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    11. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    12. Hubrich, Kirstin & Karlsson, Tohmas, 2010. "Trade consistency in the context of the Eurosystem projection exercises - an overview," Occasional Paper Series 108, European Central Bank.
    13. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Post-Print halshs-00460461, HAL.
    14. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    15. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    16. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    17. Julius Stakenas, 2012. "Generating short-term forecasts of the Lithuanian GDP using factor models," Bank of Lithuania Working Paper Series 13, Bank of Lithuania.
    18. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    19. Filippo Di Mauro & Katrin Forster, "undated". "Globalisation and the competitiveness of the Euro area," Working Papers 5, Department of the Treasury, Ministry of the Economy and of Finance.
    20. Roland Beck & Michael Fidora, 2008. "The impact of sovereign wealth funds on global financial markets," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 43(6), pages 349-358, November.
    21. Sturm, Michael & Gurtner, François & González Alegre, Juan, 2009. "Fiscal policy challenges in oil-exporting countries: a review of key issues," Occasional Paper Series 104, European Central Bank.
    22. Le Breton, Gwenaël & Be Duc, Louis, 2009. "Flow-of-funds analysis at the ECB: framework and applications," Occasional Paper Series 105, European Central Bank.
    23. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    24. Winkler, Adalbert & Schokker, Hubert & Cocozza, Emidio & Herzberg, Valerie & Móré, Csaba & de Lannoy, Anthony & Gardó, Sándor & Chmielewski, Tomasz & Polgár, Éva Katalin & Habib, Maurizio Michael & Br, 2008. "Financial stability challenges in candidate countries managing the transition to deeper and more market-oriented financial systems," Occasional Paper Series 95, European Central Bank.
    25. Liebermann, Joelle, 2011. "Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters," Research Technical Papers 3/RT/11, Central Bank of Ireland.
    26. Barhoumi, K. & Rünstler, G. & Cristadoro, R. & Den Reijer, A. & Jakaitiene, A. & Jelonek, P. & Rua, A. & Ruth, K. & Benk, S. & Van Nieuwenhuyze, C., 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Working papers 215, Banque de France.
    27. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: an application to German GDP," Discussion Paper Series 1: Economic Studies 2009,03, Deutsche Bundesbank.
    28. Germán López, 2015. "Forecast Accuracy of Small and Large Scale Dynamic Factor Models in Developing Economies," Working Papers. Serie AD 2015-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    29. D’Elia Enrico, 2014. "Predictions vs. Preliminary Sample Estimates: The Case of Eurozone Quarterly GDP," Journal of Official Statistics, Sciendo, vol. 30(3), pages 499-520, September.
    30. Mayerlen, Frank & Sola, Pierre & Be Duc, Louis, 2008. "The monetary presentation of the euro area balance of payments," Occasional Paper Series 96, European Central Bank.
    31. Laurent Ferrara & Dominique Guégan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 186-199.
    32. Marianna Cervená & Martin Schneider, 2010. "Short-term forecasting GDP with a DSGE model augmented by monthly indicators," Working Papers 163, Oesterreichische Nationalbank (Austrian Central Bank).
    33. Poloni, Paolo & Agresti, Anna Maria & Baudino, Patrizia, 2008. "The ECB and IMF indicators for the macro-prudential analysis of the banking sector: a comparison of the two approaches," Occasional Paper Series 99, European Central Bank.
    34. Kennickell, Arthur & Fitzpatrick, Trevor & Ehrmann, Michael & Bonci, Riccardo & Museux, Jean-Marc & Honkkila, Juha & Vilmunen, Jouko & Herrala, Risto & Komprej, Irena & Jeran, Matjaž & Geršak, Uroš & , 2009. "Survey data on household finance and consumption: research summary and policy use," Occasional Paper Series 100, European Central Bank.
    35. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    36. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Nowcasting," Working Papers ECARES ECARES 2010-021, ULB -- Universite Libre de Bruxelles.
    37. Ch. Piette & G. Langenus, 2014. "Using BREL to nowcast the Belgian business cycle: the role of survey data," Economic Review, National Bank of Belgium, issue i, pages 75-98, June.
    38. Rüffer, Rasmus & di Mauro, Filippo & Bunda, Irina, 2008. "The changing role of the exchange rate in a globalised economy," Occasional Paper Series 94, European Central Bank.
    39. Reichlin, Lucrezia & Camba-Mendez, Gonzalo & Angelini, Elena & Rünstler, Gerhard & Giannone, Domenico, 2008. "Short-term Forecasts of Euro Area GDP Growth," CEPR Discussion Papers 6746, C.E.P.R. Discussion Papers.
    40. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
    41. Köhler-Ulbrich, Petra & Asimakopoulos, Yannis & Doyle, Nicola & Magono, Ruth & Zachary, Marie-Denise & Walko, Zoltan & Stoess, Elmar & Kok, Christoffer & Wagner, Karin & Valckx, Nico & Martínez Pagés,, 2009. "Housing finance in the euro area," Occasional Paper Series 101, European Central Bank.
    42. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    43. Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Working Papers 0807, Banco de España.
    44. Mr. Troy D Matheson, 2011. "New Indicators for Tracking Growth in Real Time," IMF Working Papers 2011/043, International Monetary Fund.
    45. Morgese Borys, Magdalena & Polgár, Éva Katalin & Zlate, Andrei, 2008. "Real convergence and the determinants of growth in EU candidate and potential candidate countries: a panel data approach," Occasional Paper Series 86, European Central Bank.
    46. di Mauro, Filippo & Kaufmann, Robert K. & Karadeloglou, Pavlos, 2008. "Will oil prices decline over the long run?," Occasional Paper Series 98, European Central Bank.
    47. Gómez-Salvador, Ramón & Leiner-Killinger, Nadine, 2008. "An analysis of youth unemployment in the euro area," Occasional Paper Series 89, European Central Bank.
    48. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    49. Trabandt, Mathias & Attinasi, Maria Grazia & Stark, Jürgen & Lalouette, Laure & Nickel, Christiane & Valenta, Vilém & van Riet, Ad & Leiner-Killinger, Nadine & Afonso, António & Warmedinger, Thomas & , 2010. "Euro area fiscal policies and the crisis," Occasional Paper Series 109, European Central Bank.
    50. Kajal Lahiri & George Monokroussos, 2011. "Nowcasting US GDP: The role of ISM Business Surveys," Discussion Papers 11-01, University at Albany, SUNY, Department of Economics.
    51. Liebermann, Joëlle, 2012. "Short-term forecasting of quarterly gross domestic product growth," Quarterly Bulletin Articles, Central Bank of Ireland, pages 74-84, February.
    52. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    53. D'Elia, Enrico, 2010. "Predictions vs preliminary sample estimates," MPRA Paper 36070, University Library of Munich, Germany.
    54. Ritter, Raymond, 2009. "Transnational governance in global finance: the principles for stable capital flows and fair debt restructuring in emerging markets," Occasional Paper Series 103, European Central Bank.
    55. Liu, Philip & Matheson, Troy & Romeu, Rafael, 2012. "Real-time forecasts of economic activity for Latin American economies," Economic Modelling, Elsevier, vol. 29(4), pages 1090-1098.
    56. Vitale, Giovanni & Moutot, Philippe, 2009. "Monetary policy strategy in a global environment," Occasional Paper Series 106, European Central Bank.
    57. Strauch, Rolf & Gómez-Salvador, Ramón & Ward-Warmedinger, Melanie & Turunen, Jarkko & Leiner-Killinger, Nadine & Masuch, Klaus, 2008. "Labour supply and employment in the euro area countries: developments and challenges," Occasional Paper Series 87, European Central Bank.
    58. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    59. Bjørn Eraker & Ching Wai (Jeremy) Chiu & Andrew T. Foerster & Tae Bong Kim & Hernán D. Seoane, 2015. "Bayesian Mixed Frequency VARs," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 698-721.
    60. Christophe Piette, 2016. "Predicting Belgium’s GDP using targeted bridge models," Working Paper Research 290, National Bank of Belgium.
    61. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    62. Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
    63. KETENCI, Natalya, 2010. "Cointegration Analysis Of Tourism Demand For Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    64. Winkler, Adalbert & Polański, Zbigniew, 2008. "Russia, EU enlargement and the euro," Occasional Paper Series 93, European Central Bank.
    65. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    66. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.
    67. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
    68. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    69. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    70. Chen, Pu, 2009. "A Note on Updating Forecasts When New Information Arrives between Two Periods," Economics Discussion Papers 2009-22, Kiel Institute for the World Economy (IfW Kiel).
    71. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
    72. Mäkinen, Mikko, 2016. "Nowcasting of Russian GDP growth," BOFIT Policy Briefs 4/2016, Bank of Finland Institute for Emerging Economies (BOFIT).
    73. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
    74. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.

  14. Barhoumi, Karim, 2006. "Exchange Rate Pass-Through and Structural Macroeconomic Shocks in Developing Countries: An Empirical Investigation," MPRA Paper 6573, University Library of Munich, Germany, revised 13 Oct 2007.

    Cited by:

    1. Pascal Towbin & Mr. Sebastian Weber, 2011. "Limits of Floating Exchange Rates: the Role of Foreign Currency Debt and Import Structure," IMF Working Papers 2011/042, International Monetary Fund.
    2. María Lorena Marí del Cristo & Marta Gómez-Puig, 2012. "“Pass-through in dollarized countries: should Ecuador abandon the U.S. Dollar?”," IREA Working Papers 201216, University of Barcelona, Research Institute of Applied Economics, revised Oct 2012.

Articles

  1. Barhoumi, Karim & Cherif, Reda & Rebei, Nooman, 2018. "Stochastic trends and fiscal policy," Economic Modelling, Elsevier, vol. 75(C), pages 256-267.

    Cited by:

    1. Olumide Olusegun Olaoye & Phillip A. Olomola, 2023. "Sub‐Saharan Africa's rising public debt stock: Is there a cause for concern?," South African Journal of Economics, Economic Society of South Africa, vol. 91(1), pages 85-115, March.

  2. Barhoumi, Karim & Darné, Olivier & Ferrara, Laurent, 2016. "A World Trade Leading Index (WTLI)," Economics Letters, Elsevier, vol. 146(C), pages 111-115.
    See citations under working paper version above.
  3. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
    See citations under working paper version above.
  4. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2013. "Testing the Number of Factors: An Empirical Assessment for a Forecasting Purpose," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 64-79, February.
    See citations under working paper version above.
  5. Karim Barhoumi & Olivier Darné & Laurent Ferrara & Bertrand Pluyaud, 2012. "Monthly Gdp Forecasting Using Bridge Models: Application For The French Economy," Bulletin of Economic Research, Wiley Blackwell, vol. 64(Supplemen), pages 53-70, December.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Nyoni, Thabani, 2019. "Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach," MPRA Paper 91353, University Library of Munich, Germany.
    3. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    4. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    5. Christos Papamichael & Nicoletta Pashourtidou, 2016. "The Role of Survey Data in the Construction of Short-term GDP Growth Forecasts," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 10(2), pages 77-109, December.
    6. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    7. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    8. Frédérique Savignac & Erwan Gautier & Yuriy Gorodnichenko & Olivier Coibion, 2021. "Firms’ Inflation Expectations: New Evidence from France," Working papers 840, Banque de France.
    9. Nikolay P. Pilnik & Igor Pospelov & Ivan P. Stankevich, 2015. "Multiproduct Model Decomposition of Components of Russian GDP," HSE Working papers WP BRP 111/EC/2015, National Research University Higher School of Economics.
    10. Petralias, Athanassios & Petros, Sotirios & Prodromídis, Pródromos, 2013. "Greece in recession: economic predictions, mispredictions and policy implications," LSE Research Online Documents on Economics 52626, London School of Economics and Political Science, LSE Library.
    11. Dr. Gregor Bäurle & Elizabeth Steiner & Dr. Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
    12. Nyoni, Thabani, 2019. "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper 92441, University Library of Munich, Germany.
    13. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    14. Dées, Stéphane & Güntner, Jochen, 2014. "Analysing and forecasting price dynamics across euro area countries and sectors: a panel VAR approach," Working Paper Series 1724, European Central Bank.
    15. Christophe Piette, 2016. "Predicting Belgium’s GDP using targeted bridge models," Working Paper Research 290, National Bank of Belgium.
    16. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    17. Nyoni, Thabani, 2019. "Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach," MPRA Paper 91395, University Library of Munich, Germany.

  6. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    See citations under working paper version above.
  7. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2012. "Une revue de la littérature des modèles à facteurs dynamiques," Économie et Prévision, Programme National Persée, vol. 199(1), pages 51-77.
    See citations under working paper version above.
  8. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
    See citations under working paper version above.
  9. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2009. "Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 595-611.

    Cited by:

    1. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
    2. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    3. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
    4. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Doll, Jens & Rosenthal, Beatrice & Volkenand, Jonas & Hamella, Sandra, 2017. "Nowcasting des deutschen BIP," Weidener Diskussionspapiere 59, University of Applied Sciences Amberg-Weiden (OTH).
    6. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    7. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    8. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    10. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
    11. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    12. Doz, Catherine & Giannone, Domenico & Reichlin, Lucrezia, 2011. "A two-step estimator for large approximate dynamic factor models based on Kalman filtering," Journal of Econometrics, Elsevier, vol. 164(1), pages 188-205, September.
    13. Christian Grimme & Robert Lehmann & Marvin Noeller, 2019. "Forecasting Imports with Information from Abroad," ifo Working Paper Series 294, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    14. Mahmut Günay, 2015. "Forecasting Turkish Industrial Production Growth With Static Factor Models," International Econometric Review (IER), Econometric Research Association, vol. 7(2), pages 64-78, September.
    15. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    16. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    17. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    18. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    19. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    20. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
    21. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    22. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    23. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    24. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    25. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    26. Germán López, 2015. "Forecast Accuracy of Small and Large Scale Dynamic Factor Models in Developing Economies," Working Papers. Serie AD 2015-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    27. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    28. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    29. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    30. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    31. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    32. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    33. Esteves, Paulo Soares, 2013. "Direct vs bottom–up approach when forecasting GDP: Reconciling literature results with institutional practice," Economic Modelling, Elsevier, vol. 33(C), pages 416-420.
    34. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
    35. Martin Feldkircher & Florian Huber & Josef Schreiner & Marcel Tirpák & Peter Tóth & Julia Wörz, 2015. "Bridging the information gap: small-scale nowcasting models of GDP growth for selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 56-75.
    36. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank.
    37. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    38. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    39. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    40. Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.
    41. Francisco Dias & Maximiano Pinheiro & António Rua, 2018. "A bottom-up approach for forecasting GDP in a data-rich environment," Applied Economics Letters, Taylor & Francis Journals, vol. 25(10), pages 718-723, June.
    42. Blasques, F. & Koopman, S.J. & Mallee, M. & Zhang, Z., 2016. "Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 405-417.
    43. João Valle e Azevedo & Ana Pereira, 2008. "Approximating and Forecasting Macroeconomic Signals in Real-Time," Working Papers w200819, Banco de Portugal, Economics and Research Department.
    44. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    45. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    46. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    47. Kajal Lahiri & George Monokroussos, 2011. "Nowcasting US GDP: The role of ISM Business Surveys," Discussion Papers 11-01, University at Albany, SUNY, Department of Economics.
    48. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    49. Liebermann, Joëlle, 2012. "Short-term forecasting of quarterly gross domestic product growth," Quarterly Bulletin Articles, Central Bank of Ireland, pages 74-84, February.
    50. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    51. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.
    52. Lopez-Buenache, German, 2019. "The evolution of monetary policy effectiveness under macroeconomic instability," Economic Modelling, Elsevier, vol. 83(C), pages 221-233.
    53. Roman Horvath, 2012. "Do Confidence Indicators Help Predict Economic Activity? The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 398-412, November.
    54. Jos Jansen, W. & Jin, Xiaowen & Winter, Jasper M. de, 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," Munich Reprints in Economics 43488, University of Munich, Department of Economics.
    55. Dimitra Lamprou, 2015. "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 85-100.
    56. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    57. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    58. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    59. Martin Feldkircher & Florian Huber & Josef Schreiner & Julia Woerz & Marcel Tirpak & Peter Toth, 2015. "Small-scale nowcasting models of GDP for selected CESEE countries," Working and Discussion Papers WP 4/2015, Research Department, National Bank of Slovakia.
    60. Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," MNB Working Papers 2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    61. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    62. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    63. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2010. "Are disaggregate data useful for factor analysis in forecasting French GDP?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 132-144.
    64. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.

  10. Barhoumi Karim, 2009. "How Structural Macroeconomic Shocks Can Explain Exchange Rate Pass-Through in Developing Countries: A Common Trend Approach," Global Economy Journal, De Gruyter, vol. 9(2), pages 1-37, June.

    Cited by:

    1. Osama D. Sweidan, 2013. "Exchange Rate Pass-Through into Import Prices in Jordan," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 13(1), pages 109-128, April.

  11. Jamel JOUINI & Karim BARHOUMI, 2008. "Revisiting the decline in the exchange rate pass-through: further evidence from developing countries," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-10.
    See citations under working paper version above.
  12. Barhoumi, Karim, 2006. "Differences in long run exchange rate pass-through into import prices in developing countries: An empirical investigation," Economic Modelling, Elsevier, vol. 23(6), pages 926-951, December.

    Cited by:

    1. Jamel JOUINI & Karim BARHOUMI, 2008. "Revisiting the decline in the exchange rate pass-through: further evidence from developing countries," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-10.
    2. Moumita Basu & Rilina Basu & Ranjanendra Narayan Nag, 2024. "Inflation Adjustment, Endogenous Risk Premium and Exchange Rate: A Theoretical Analysis," Foreign Trade Review, , vol. 59(2), pages 225-251, May.
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    28. Kurtović Safet & Šehić-Kršlak Sabina & Halili Blerim & Maxhuni Nehat, 2018. "Exchange Rate Pass-Through into Import Prices of Croatia," Naše gospodarstvo/Our economy, Sciendo, vol. 64(4), pages 60-73, December.
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    30. Safet Kurtović, 2019. "Exchange rate pass-through to import prices: Evidence from Serbia," Economics and Business Letters, Oviedo University Press, vol. 8(1), pages 7-16.
    31. Sy-Hoa Ho & Idir Hafrad & Viet Dung Tran, 2022. "Asymmetric exchange rates pass-through in Vietnam," Economics Bulletin, AccessEcon, vol. 42(3), pages 1657-1672.
    32. Olivier de Bandt & Tovonony Razafindrabe, 2014. "Does nominal rigidity mislead our perception of the exchange rate pass-through?," EconomiX Working Papers 2014-36, University of Paris Nanterre, EconomiX.
    33. Torrejón-Flores, Fernando & García-Solanes, José, 2015. "Exchange-rate variations and the rate of inflation in emerging economies," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    34. Slavi T. Slavov, 2008. "Does Monetary Integration Reduce Exchange Rate Pass‐Through?," The World Economy, Wiley Blackwell, vol. 31(12), pages 1599-1624, December.
    35. Mallick, Sushanta & Marques, Helena, 2012. "Pricing to market with trade liberalization: The role of market heterogeneity and product differentiation in India’s exports," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 310-336.
    36. Riccardo Realfonzo & Angelantonio Viscione, 2015. "The Effects of a Euro Exit on Growth, Employment, and Wages," Economics Working Paper Archive wp_840, Levy Economics Institute.
    37. Bussiére, Matthieu & Peltonen, Tuomas, 2008. "Exchange rate pass-through in the global economy: the role of emerging market economies," BOFIT Discussion Papers 25/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
    38. Nektarios A. Michail, 2021. "The impact of conflict on the exchange rate of developing economies," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 916-930, May.
    39. M. Abimbola Oyinlola & M. Adetunji Babatunde, 2009. "A Bound Testing Analysis Of Exchange Rate Pass- Through To Aggregate Import Prices In Nigeria: 1980-2006," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 34(2), pages 97-109, December.
    40. Beirne, John & Renzhi, Nuobu & Panthi, Pradeep, 2024. "Exchange rate pass-through in emerging Asia and exposure to external shocks," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1608-1624.
    41. Muhammad Shahid Hassan & Samra Bukhari & Noman Arshed, 2020. "Competitiveness, governance and globalization: What matters for poverty alleviation?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3491-3518, April.
    42. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes, 2020. "Revisiting the pass-through of exchange rate in the transition economies: New evidence from new EU member states," Journal of International Money and Finance, Elsevier, vol. 100(C).
    43. Ahlem Dahem1 & Fatma Siala Guermazi, 2016. "Exchange Rate Pass-through and Monetary Policy in Transition Economy: Evidence from Tunisia with a Disaggregated VAR Analysis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 50-63.
    44. Nidhaleddine Ben Cheikh & Younes Ben Zaied & Pascal Nguyen, 2018. "Nonlinear Exchange Rate Transmission in the Euro Area: A Multivariate Smooth Transition Regression Approach," Economics Bulletin, AccessEcon, vol. 38(3), pages 1590-1602.
    45. Montfaucon, Angella Faith & Sato, Kiyotaka & Shrestha, Nagendra & Parsons, Craig, 2021. "Exchange rate pass-through and invoicing currency choice between fixed and floating exchange rate regimes: Evidence from Malawi’s transaction-level data," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 562-577.
    46. Chatri, Abdellatif & Maarouf, Abdelwahab & Ragbi, Aziz, 2016. "Pass-through du taux de change aux prix au Maroc [An empirical investigation of the exchange rate pass-through to prices in Morocco]," MPRA Paper 71757, University Library of Munich, Germany.
    47. Kurtović, Safet & Siljković, Boris & Denić, Nebojša & Petković, Dalibor & Mladenović, Svetlana Sokolov & Mladenović, Igor & Milovancevic, Milos, 2018. "Exchange rate pass-through and Southeast European economies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 400-409.
    48. Vo, Duc, 2019. "Macroeconomics Determinants of Exchange Rate Pass-through: New Evidence from the Asia-Pacific Region," MPRA Paper 103293, University Library of Munich, Germany.
    49. Riccardo Realfonzo & Angelantonio Viscione, 2015. "The Real Effects of a Euro Exit: Lessons from the Past," International Journal of Political Economy, Taylor & Francis Journals, vol. 44(3), pages 161-173, July.
    50. Jiménez-Rodríguez, Rebeca & Morales-Zumaquero, Amalia, 2016. "A new look at exchange rate pass-through in the G-7 countries," Journal of Policy Modeling, Elsevier, vol. 38(5), pages 985-1000.
    51. Zhi Yu, 2013. "Exchange rate pass-through, firm heterogeneity and product quality: a theoretical analysis," Globalization Institute Working Papers 141, Federal Reserve Bank of Dallas.
    52. Rajmund Mirdala, 2016. "Exchange Rate Pass-Through to Domestic Prices in the European Transition Economies," Working Papers 361, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    53. Mohamed Tidjane Kinda & Hamidou Barry, 2021. "Exchange rate pass‐through to import prices: Evidence from a heterogeneous panel of West African countries," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2454-2472, November.
    54. Safet Kurtović & Nehat Maxhuni & Blerim Halili & Sead Talović, 2021. "Asymmetric exchange rate pass‐through into import prices of Slovenia's manufacturing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4609-4633, July.
    55. Javed Ahmad Bhat & Sajad Ahmad Bhat & Waseem Ahmad Parray, 2025. "Nonlinearity in exchange rate pass-through across BRICS: Role of business cycle and inflation," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-32, February.
    56. Javed Ahmad Bhat & Md Zulquar Nain & Sajad Ahmad Bhat, 2024. "Exchange rate pass‐through to consumer prices in India – nonlinear evidence from a smooth transition model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 927-942, January.
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  13. barhoumi karim, 2005. "Long Run Exchange Rate Pass-Through Into Import Prices In Developing Countries: An Homogeneous or Heterogeneous Phenomenon?," Economics Bulletin, AccessEcon, vol. 6(14), pages 1-12.

    Cited by:

    1. Ketenci, Natalya & Uz, Idil, 2010. "Trade in services: The elasticity approach for the case of Turkey," MPRA Paper 86596, University Library of Munich, Germany.
    2. Talavera, Oleksandr & Gorodnichenko, Yuriy, 2015. "Price setting in online markets: Basic facts, international comparisons, and cross-border integration," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112885, Verein für Socialpolitik / German Economic Association.
    3. David C. Parsley, 2010. "Exchange Rate Passthrough in South Africa Panel Evidence from Individual Goods and Services," Working Papers 3580, South African Reserve Bank.
    4. Vishal Chandr Jaunky & Robert Lundmark, 2015. "Are Shocks to Wood Fuel Production Permanent? Evidence from the EU," Energies, MDPI, vol. 8(11), pages 1-11, November.
    5. Barhoumi, Karim, 2006. "Differences in long run exchange rate pass-through into import prices in developing countries: An empirical investigation," Economic Modelling, Elsevier, vol. 23(6), pages 926-951, December.
    6. Jeffrey Frankel & David Parsley & Shang-Jin Wei, 2012. "Slow Pass-through Around the World: A New Import for Developing Countries?," Open Economies Review, Springer, vol. 23(2), pages 213-251, April.
    7. Guillaume Gaulier & Amina Lahrèche-Révil & Isabelle Méjean, 2006. "Exchange-Rate Pass-Trough at the Product Level," Working Papers 2006-02, CEPII research center.
    8. Jaunky, V.C., 2007. "Income Elasticities Of Electric Power Consumption: Evidence From African Countries, 1971-2002," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 7(2), pages 25-50.
    9. Jaunky, Vishal Chandr, 2013. "Are Shocks To Aluminium Consumption Transitory Or Permanent?," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 9(1-2), January.
    10. García-Solanes, José & Torrejón-Flores, Fernando, 2010. "Devaluation and pass-through in indebted and risky economies," International Review of Economics & Finance, Elsevier, vol. 19(1), pages 36-45, January.
    11. García Solanes, José & Torrejón-Flores, Fernando, 2009. "The Balassa-Samuelson Hypothesis in Developed Countries and Emerging Market Economies: Different Outcomes Explained," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-24.
    12. M. Abimbola Oyinlola & M. Adetunji Babatunde, 2009. "A Bound Testing Analysis Of Exchange Rate Pass- Through To Aggregate Import Prices In Nigeria: 1980-2006," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 34(2), pages 97-109, December.
    13. Yimin Zhang & Tianmu Wang, 2010. "Profitability and Productivity of the Chinese Textile Industry," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(5), pages 1-21, September.
    14. Jaunky, Vishal Chandr, 2011. "The CO2 emissions-income nexus: Evidence from rich countries," Energy Policy, Elsevier, vol. 39(3), pages 1228-1240, March.
    15. Babu Rao G., 2019. "Exchange rate regimes and its impact on growth: An empirical analysis of BRICS countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(619), S), pages 157-172, Summer.
    16. Yu Hsing, 2021. "Response of Domestic Prices to Exchange Rate Movements in Argentina," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 218-226, June.
    17. Chang Shu & Xiaojing Su, 2009. "Exchange Rate Pass‐through in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(1), pages 33-46, January.

  14. barhoumi karim, 2004. "Exchange Rate Pass-Through Into Import Prices In Developing Countries: An Empirical Investigation," Economics Bulletin, AccessEcon, vol. 28(10), pages 1.

    Cited by:

    1. Jamel JOUINI & Karim BARHOUMI, 2008. "Revisiting the decline in the exchange rate pass-through: further evidence from developing countries," Economics Bulletin, AccessEcon, vol. 3(20), pages 1-10.
    2. Ketenci, Natalya & Uz, Idil, 2010. "Trade in services: The elasticity approach for the case of Turkey," MPRA Paper 86596, University Library of Munich, Germany.
    3. David C. Parsley, 2010. "Exchange Rate Passthrough in South Africa Panel Evidence from Individual Goods and Services," Working Papers 3580, South African Reserve Bank.
    4. Nidhaleddine Ben Cheikh, 2012. "Long Run Exchange Rate Pass-Through: Evidence from New Panel Data Techniques," Economics Working Paper Archive (University of Rennes & University of Caen) 201225, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    5. Barhoumi, Karim, 2006. "Differences in long run exchange rate pass-through into import prices in developing countries: An empirical investigation," Economic Modelling, Elsevier, vol. 23(6), pages 926-951, December.
    6. Mohammadi Khyareh , Mohsen, 2017. "Asymmetric Effects of Exchange Rate Changes in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(3), pages 317-344, July.
    7. Jeffrey Frankel & David Parsley & Shang-Jin Wei, 2012. "Slow Pass-through Around the World: A New Import for Developing Countries?," Open Economies Review, Springer, vol. 23(2), pages 213-251, April.
    8. Ben Cheikh, Nidhaleddine & Mohamed Cheik, Hamidou, 2013. "A Panel Cointegration Analysis of the Exchange Rate Pass-Through," MPRA Paper 49991, University Library of Munich, Germany.
    9. María Lorena Marí del Cristo & Marta Gómez-Puig, 2012. "“Pass-through in dollarized countries: should Ecuador abandon the U.S. Dollar?”," IREA Working Papers 201216, University of Barcelona, Research Institute of Applied Economics, revised Oct 2012.
    10. Jian Han & Yanzhi Shen, 2016. "Exchange Rate Pass-through to China's Export Price: A Product-level Investigation," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(2), pages 48-67, March.
    11. Salsa Dilla & Noer Azam Achsani & Lukytawati Anggraeni, 2017. "Do Inflation Targeting Really Reduced Exchange Rate Pass-through?," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 444-452.
    12. Guillaume Gaulier & Amina Lahrèche-Révil & Isabelle Méjean, 2006. "Exchange-Rate Pass-Trough at the Product Level," Working Papers 2006-02, CEPII research center.
    13. M. Abimbola Oyinlola & M. Adetunji Babatunde, 2009. "A Bound Testing Analysis Of Exchange Rate Pass- Through To Aggregate Import Prices In Nigeria: 1980-2006," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 34(2), pages 97-109, December.
    14. Yimin Zhang & Tianmu Wang, 2010. "Profitability and Productivity of the Chinese Textile Industry," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(5), pages 1-21, September.
    15. Chatri, Abdellatif & Maarouf, Abdelwahab & Ragbi, Aziz, 2016. "Pass-through du taux de change aux prix au Maroc [An empirical investigation of the exchange rate pass-through to prices in Morocco]," MPRA Paper 71757, University Library of Munich, Germany.
    16. Babu Rao G., 2019. "Exchange rate regimes and its impact on growth: An empirical analysis of BRICS countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(619), S), pages 157-172, Summer.
    17. Yu Hsing, 2021. "Response of Domestic Prices to Exchange Rate Movements in Argentina," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 218-226, June.
    18. Chang Shu & Xiaojing Su, 2009. "Exchange Rate Pass‐through in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(1), pages 33-46, January.

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