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Gonzalo Camba-Mendez

Citations

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

Working papers

  1. Camba-Méndez, Gonzalo & Mongelli, Francesco Paolo, 2021. "Risk aversion and bank loan pricing," Working Paper Series 2514, European Central Bank.

    Cited by:

    1. Nguyen, Thanh Cong & Thuy, Tien Ho, 2023. "Geopolitical risk and the cost of bank loans," Finance Research Letters, Elsevier, vol. 54(C).

  2. Camba-Méndez, Gonzalo & Werner, Thomas, 2017. "The inflation risk premium in the post-Lehman period," Working Paper Series 2033, European Central Bank.

    Cited by:

    1. Hartmann, Philipp & Smets, Frank, 2018. "The first twenty years of the European Central Bank: monetary policy," CEPR Discussion Papers 13411, C.E.P.R. Discussion Papers.
    2. Schupp, Fabian, 2020. "The (ir)relevance of the nominal lower bound for real yield curve analysis," Discussion Papers 32/2020, Deutsche Bundesbank.
    3. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    4. Juan Angel Garcia & Aubrey Poon, 2018. "Trend Inflation and Inflation Compensation," IMF Working Papers 2018/154, International Monetary Fund.
    5. Burban, Valentin & De Backer, Bruno & Schupp, Fabian & Vladu, Andreea Liliana, 2022. "Decomposing market-based measures of inflation compensation into inflation expectations and risk premia," Economic Bulletin Boxes, European Central Bank, vol. 8.
    6. Marcello Pericoli, 2019. "An assessment of recent trends in market-based expected iflation in the euro area," Questioni di Economia e Finanza (Occasional Papers) 542, Bank of Italy, Economic Research and International Relations Area.
    7. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2023. "Sovereign Risk and Economic Complexity: Machine Learning Insights on Causality and Prediction," IREA Working Papers 202315, University of Barcelona, Research Institute of Applied Economics, revised Nov 2023.
    8. Jaccard, Ivan, 2024. "Monetary asymmetries without (and with) price stickiness," Working Paper Series 2928, European Central Bank.
    9. Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg, 2023. "Empirical DSGE model evaluation with interest rate expectations measures and preferences over safe assets," Working Paper Research 433, National Bank of Belgium.
    10. Busetto, Filippo, 2024. "Asymmetric expectations of monetary policy," Bank of England working papers 1058, Bank of England.
    11. M. Deroose & A. Stevens, 2017. "Low inflation in the euro area : Causes and consequences," Economic Review, National Bank of Belgium, issue i, pages 111-125, June.
    12. Egwakhe A. J & Falana R. B & Asikhia O. O & Magaji N, 2020. "Business Strategies and Competitive Advantage: Evidence from Flour Mill Companies in Lagos State, Nigeria," Journal of Economics and Behavioral Studies, AMH International, vol. 12(2), pages 17-26.
    13. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024. "Sovereign Risk and Economic Complexity," IDB Publications (Working Papers) 13393, Inter-American Development Bank.
    14. Robert Amano & Thomas Carter & Sylvain Leduc, 2019. "Precautionary Pricing: The Disinflationary Effects of ELB Risk," Working Paper Series 2019-26, Federal Reserve Bank of San Francisco.
    15. Sara Cecchetti & Davide Fantino & Alessandro Notarpietro & Marianna Riggi & Alex Tagliabracci & Andrea Tiseno & Roberta Zizza, 2021. "Inflation expectations in the euro area: indicators, analyses and models used at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 612, Bank of Italy, Economic Research and International Relations Area.
    16. van Wijnbergen, Sweder & Olijslagers, Stan & de Vette, Nander, 2020. "Debt sustainability when r - g," CEPR Discussion Papers 15478, C.E.P.R. Discussion Papers.
    17. Alberto Di Iorio & Marco Fanari, 2020. "Break-even inflation rates: the Italian case," Questioni di Economia e Finanza (Occasional Papers) 578, Bank of Italy, Economic Research and International Relations Area.
    18. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.
    19. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    20. Dirk Broeders & Daniel Dimitrov & Niek Verhoeven, 2024. "Climate-Linked Bonds," Working Papers 817, DNB.
    21. Sweder van Wijnbergen & Stan Olijslagers & Nander de Vette, 2020. "Debt sustainability when r - g smaller than 0: no free lunch after all," Tinbergen Institute Discussion Papers 20-079/VI, Tinbergen Institute.

  3. Camba-Méndez, Gonzalo & Serwa, Dobromil & Kostrzewa, Konrad & Marszal, Anna, 2016. "Pricing sovereign credit risk of an emerging market," Working Paper Series 1924, European Central Bank.

    Cited by:

    1. Benbouzid, Nadia & Mallick, Sushanta K. & Sousa, Ricardo M., 2017. "An international forensic perspective of the determinants of bank CDS spreads," Journal of Financial Stability, Elsevier, vol. 33(C), pages 60-70.

  4. Camba-Méndez, Gonzalo & Durré, Alain & Mongelli, Francesco Paolo, 2016. "Bank interest rate setting in the euro area during the Great Recession," Working Paper Series 1965, European Central Bank.

    Cited by:

    1. Francesco Paolo Mongelli & Gonzalo Camba-Mendez, 2018. "The Financial Crisis and Policy Responses in Europe (2007–2018)," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(4), pages 531-558, December.
    2. Helen Louri & Petros M. Migiakis, 2019. "Bank lending margins in the euro area: Funding conditions, fragmentation and ECB's policies," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 482-505, October.
    3. Camba-Méndez, Gonzalo & Mongelli, Francesco Paolo, 2021. "Risk aversion and bank loan pricing," Working Paper Series 2514, European Central Bank.
    4. Bredl Sebastian, 2022. "The Role of Non-performing Loans for Bank Lending Rates," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(2), pages 223-276, April.

  5. Camba-Méndez, Gonzalo & Kapetanios, George & Papailias, Fotis & Weale, Martin R., 2015. "An automatic leading indicator, variable reduction and variable selection methods using small and large datasets: Forecasting the industrial production growth for euro area economies," Working Paper Series 1773, European Central Bank.

    Cited by:

    1. George Kapetanios & Fotis Papailias, 2021. "UK Economic Conditions during the Pandemic: Assessing the Economy using ONS Faster Indicators," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-10, Economic Statistics Centre of Excellence (ESCoE).
    2. Klaus Abberger & Michael Graff & Oliver Müller & Jan-Egbert Sturm, 2022. "Composite global indicators from survey data: the Global Economic Barometers," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 917-945, August.

  6. Camba-Méndez, Gonzalo & Rodriguez-Palenzuela, Diego & Carbó-Valverde, Santiago, 2014. "Financial reputation, market interventions and debt issuance by banks: a truncated two-part model approach," Working Paper Series 1741, European Central Bank.

    Cited by:

    1. Castrén, Olli & Kavonius, Ilja Kristian & Rancan, Michela, 2022. "Digital currencies in financial networks," Journal of Financial Stability, Elsevier, vol. 60(C).
    2. Garcia-Appendini, Emilia & Gatti, Stefano & Nocera, Giacomo, 2023. "Does asset encumbrance affect bank risk? Evidence from covered bonds," Journal of Banking & Finance, Elsevier, vol. 146(C).
    3. Golden, Brian & Maqui, Eduardo, 2018. "How 'special' are international banks sponsoring Irish-resident SPEs?," Research Technical Papers 14/RT/18, Central Bank of Ireland.
    4. Wilson, Christian & Caldecott, Ben, 2023. "Investigating the role of passive funds in carbon-intensive capital markets: Evidence from U.S. bonds," Ecological Economics, Elsevier, vol. 209(C).
    5. Camba-Méndez, Gonzalo & Durré, Alain & Mongelli, Francesco Paolo, 2016. "Bank interest rate setting in the euro area during the Great Recession," Working Paper Series 1965, European Central Bank.

  7. Camba-Méndez, Gonzalo & Serwa, Dobromil, 2014. "Market perception of sovereign credit risk in the euro area during the financial crisis," Working Paper Series 1710, European Central Bank.

    Cited by:

    1. Christophe Blot & Bruno Ducoudre & Xavier Timbeau, 2016. "Sovereign debt spread and default in a model with self-fulfilling prophecies and asymmetric information," Post-Print hal-03411199, HAL.
    2. Serhan Cevik & Belma Öztürkkal, 2021. "Contagion of fear: Is the impact of COVID‐19 on sovereign risk really indiscriminate?," International Finance, Wiley Blackwell, vol. 24(2), pages 134-154, August.
    3. Michel Aglietta & Xavier Ragot, 2015. "Erosion du tissu productif en France : causes et remèdes," SciencePo Working papers Main hal-03460040, HAL.
    4. Giudice, Gabriele & de Manuel Aramendía, Mirzha & Kontolemis, Zenon & Monteiro, Daniel P., 2019. "A European safe asset to complement national government bonds," MPRA Paper 95748, University Library of Munich, Germany.
    5. Zaghini, Andrea, 2016. "Fragmentation and heterogeneity in the euro-area corporate bond market: Back to normal?," Journal of Financial Stability, Elsevier, vol. 23(C), pages 51-61.
    6. Camba-Méndez, Gonzalo & Serwa, Dobromil & Kostrzewa, Konrad & Marszal, Anna, 2016. "Pricing sovereign credit risk of an emerging market," Working Paper Series 1924, European Central Bank.
    7. Rodríguez-López, Araceli & Fernández-Abascal, Hermenegildo & Maté-García, Jorge-Julio & Rodríguez-Fernández, José-Miguel & Rojo-García, José-Luis & Sanz-Gómez, José-Antonio, 2021. "Evaluating Euribor Manipulation: Effects on Mortgage Borrowers," Finance Research Letters, Elsevier, vol. 40(C).
    8. Gonzalo Camba-Méndez & Dobromił Serwa, 2014. "Market perception of sovereign credit risk in the euro area during the financial crisis," NBP Working Papers 185, Narodowy Bank Polski.
    9. Belke, Ansgar & Gros, Daniel, 2021. "QE in the euro area: Has the PSPP benefited peripheral bonds?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    10. Maria Czech, 2022. "The Impact of Covid-19 Dynamics on SCDS Spreads in Selected CEE Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 254-271.
    11. Ribeiro, Pedro Pires & Cermeño, Rodolfo & Curto, José Dias, 2017. "Sovereign bond markets and financial volatility dynamics: Panel-GARCH evidence for six euro area countries," Finance Research Letters, Elsevier, vol. 21(C), pages 107-114.
    12. Montes, Gabriel Caldas & Souza, Ivan, 2020. "Sovereign default risk, debt uncertainty and fiscal credibility: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. Jung Park, Yuen & Kutan, Ali M. & Ryu, Doojin, 2019. "The impacts of overseas market shocks on the CDS-option basis," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 622-636.

  8. 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.

    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. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    4. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    5. Maximo Camacho & Rafael Domenech, 2010. "MICA-BBVA: A Factor Model of Economic and Financial Indicators for Short-term GDP Forecasting," Working Papers 1021, BBVA Bank, Economic Research Department.
    6. Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
    7. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    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. Domenico Giannone & Lucrezia Reichlin & Saverio Simonelli, 2009. "Nowcasting Euro Area Economic Activity in Real-Time: The Role of Confidence Indicators," CSEF Working Papers 240, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    10. William A. Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    11. Bräuning, Falk & Koopman, Siem Jan, 2014. "Forecasting macroeconomic variables using collapsed dynamic factor analysis," International Journal of Forecasting, Elsevier, vol. 30(3), pages 572-584.
    12. Fokin, Nikita & Polbin, Andrey, 2019. "A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth," MPRA Paper 95306, University Library of Munich, Germany, revised Apr 2019.
    13. Hendry, David F., 2018. "Deciding between alternative approaches in macroeconomics," International Journal of Forecasting, Elsevier, vol. 34(1), pages 119-135.
    14. 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.
    15. 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).
    16. 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.
    17. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    18. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    19. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    20. Jean-Charles Bricongne & Baptiste Meunier & Raquel Caldeira, 2024. "Should Central Banks Care About Text Mining? A Literature Review," Working papers 950, Banque de France.
    21. 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.
    22. 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.
    23. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Post-Print halshs-00460461, HAL.
    24. 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.
    25. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    26. 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.
    27. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with seasonal-cyclical long memory models," Documents de travail du Centre d'Economie de la Sorbonne b08035, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    28. 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.
    29. 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.
    30. 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.
    31. Pablo Duarte & Bernd Süssmuth, 2014. "Robust Implementation of a Parsimonious Dynamic Factor Model to Nowcast GDP," CESifo Working Paper Series 4574, CESifo.
    32. 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.
    33. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    34. Angelini, Elena & Rünstler, Gerhard & Bańbura, Marta, 2008. "Estimating and forecasting the euro area monthly national accounts from a dynamic factor model," Working Paper Series 953, European Central Bank.
    35. 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.).
    36. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    37. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    38. 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.
    39. 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.
    40. David de Antonio Liedo, 2014. "Nowcasting Belgium," Working Paper Research 256, National Bank of Belgium.
    41. 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.
    42. George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
    43. Giannone, Domenico & Monti, Francesca & Reichlin, Lucrezia, 2014. "Exploiting the monthly data-flow in structural forecasting," LSE Research Online Documents on Economics 57998, London School of Economics and Political Science, LSE Library.
    44. D'Agostino, Antonello & McQuinn, Kieran & O'Brien, Derry, 2008. "Now-casting Irish GDP," Research Technical Papers 9/RT/08, Central Bank of Ireland.
    45. Leif Anders Thorsrud, 2016. "Nowcasting using news topics. Big Data versus big bank," Working Paper 2016/20, Norges Bank.
    46. Laurent Ferrara & Thomas Raffinot, 2008. "A non-parametric method to nowcast the Euro Area IPI," Post-Print halshs-00275769, HAL.
    47. 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.
    48. 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.
    49. Christian Glocker & Serguei Kaniovski, 2022. "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
    50. Dandan ZHANG & Xunpeng SHI & Yu SHENG, 2014. "Enhanced Measurement of Energy Market Integration in East Asia: An Application of Dynamic Principal Component Analysis," Working Papers DP-2014-23, Economic Research Institute for ASEAN and East Asia (ERIA).
    51. Liebermann, Joelle, 2011. "Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters," Research Technical Papers 3/RT/11, Central Bank of Ireland.
    52. 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.
    53. Michael Berlemann & Vera Jahn & Robert Lehmann, 2022. "Is the German Mittelstand more resistant to crises?," Small Business Economics, Springer, vol. 59(3), pages 1169-1195, October.
    54. 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).
    55. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    56. 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.
    57. Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2016. "Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 118-127, January.
    58. João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
    59. Jokubaitis, Saulius & Celov, Dmitrij & Leipus, Remigijus, 2021. "Sparse structures with LASSO through principal components: Forecasting GDP components in the short-run," International Journal of Forecasting, Elsevier, vol. 37(2), pages 759-776.
    60. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an uncertain economic environment," Working Paper 2014/17, Norges Bank.
    61. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    62. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    63. António Rua & Francisco Craveiro Dias, 2014. "Forecasting Portuguese GDP with factor models," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    64. 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.
    65. Mayr, Johannes, 2010. "Forecasting Macroeconomic Aggregates," Munich Dissertations in Economics 11140, University of Munich, Department of Economics.
    66. 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).
    67. 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.
    68. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
    69. Reichlin, Lucrezia & Andreini, Paolo & Hasenzagl, Thomas & Senftleben-König, Charlotte & Strohsal, Till, 2020. "Nowcasting German GDP," CEPR Discussion Papers 14323, C.E.P.R. Discussion Papers.
    70. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Nowcasting," Working Papers ECARES ECARES 2010-021, ULB -- Universite Libre de Bruxelles.
    71. William A. Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201313, University of Kansas, Department of Economics, revised Feb 2014.
    72. 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.
    73. Maxime Leboeuf & Louis Morel, 2014. "Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions," Discussion Papers 14-3, Bank of Canada.
    74. Knut Aastveit & Tørres Trovik, 2012. "Nowcasting norwegian GDP: the role of asset prices in a small open economy," Empirical Economics, Springer, vol. 42(1), pages 95-119, February.
    75. 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.
    76. Ángel Cuevas & Enrique Quilis, 2012. "A factor analysis for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(3), pages 311-338, September.
    77. 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.
    78. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
    79. 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.
    80. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
    81. 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.
    82. 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.
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    85. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    86. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    87. Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Working Papers 0807, Banco de España.
    88. 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.
    89. Weber, Enzo & Zika, Gerd, 2013. "Labour market forecasting : is disaggregation useful?," IAB-Discussion Paper 201314, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    90. 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.
    91. 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.
    92. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    93. 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.
    94. 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.).
    95. 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.
    96. Ge, Yiqing & Tang, Ke, 2020. "Commodity prices and GDP growth," International Review of Financial Analysis, Elsevier, vol. 71(C).
    97. Liebermann, Joëlle, 2012. "Short-term forecasting of quarterly gross domestic product growth," Quarterly Bulletin Articles, Central Bank of Ireland, pages 74-84, February.
    98. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    99. Schumacher, Christian, 2014. "MIDAS and bridge equations," Discussion Papers 26/2014, Deutsche Bundesbank.
    100. Muriel Nguiffo-Boyom, 2014. "2007-2013: This is what the indicator told us ? Evaluating the performance of real-time nowcasts from a dynamic factor model," BCL working papers 88, Central Bank of Luxembourg.
    101. D'Elia, Enrico, 2010. "Predictions vs preliminary sample estimates," MPRA Paper 36070, University Library of Munich, Germany.
    102. Robert Lehmann & Magnus Reif, 2021. "Predicting the German Economy: Headline Survey Indices Under Test," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 215-232, November.
    103. Gerhard Rünstler, 2016. "On the Design of Data Sets for Forecasting with Dynamic Factor Models," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 629-662, Emerald Group Publishing Limited.
    104. 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.
    105. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    106. Amélie Charles & Chew Lian Chua & Olivier Darné & Sandy Suardi, 2021. "Oil price shocks, real economic activity and uncertainty," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 364-392, July.
    107. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    108. 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.
    109. 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.
    110. 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.
    111. Mahmut Gunay, 2018. "Nowcasting Annual Turkish GDP Growth with MIDAS," CBT Research Notes in Economics 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    112. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    113. Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
    114. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    115. 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.
    116. 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.
    117. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    118. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    119. Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel, 2016. "Aggregate versus disaggregate information in dynamic factor models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 680-694.
    120. 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.
    121. Raïsa Basselier & David de Antonio Liedo & Geert Langenus,, 2017. "Nowcasting real economic activity in the euro area : Assessing the impact of qualitative surveys," Working Paper Research 331, National Bank of Belgium.
    122. 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.
    123. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
    124. 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.
    125. 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.
    126. Lenza Michele & Warmedinger Thomas, 2011. "A Factor Model for Euro-area Short-term Inflation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 50-62, February.
    127. 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.
    128. 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.
    129. Stefan Gerlach & John Lewis, 2014. "Zero lower bound, ECB interest rate policy and the financial crisis," Empirical Economics, Springer, vol. 46(3), pages 865-886, May.
    130. Mishra, Sagarika & Narayan, Paresh Kumar, 2015. "A nonparametric model of financial system and economic growth," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 175-191.
    131. António Rua & Nuno Lourenço & Francisco Dias, 2018. "Forecasting exports with targeted predictors," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    132. Zhang, Dandan & Shi, Xunpeng & Sheng, Yu, 2015. "Comprehensive measurement of energy market integration in East Asia: An application of dynamic principal component analysis," Energy Economics, Elsevier, vol. 52(PB), pages 299-305.
    133. 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.
    134. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    135. Mahmut Gunay, 2020. "Nowcasting Turkish GDP with MIDAS: Role of Functional Form of the Lag Polynomial," Working Papers 2002, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    136. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.
    137. 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.

  9. Camba-Méndez, Gonzalo & Kapetanios, George, 2008. "Statistical tests and estimators of the rank of a matrix and their applications in econometric modelling," Working Paper Series 850, European Central Bank.

    Cited by:

    1. Xiao, Ruli, 2018. "Identification and estimation of incomplete information games with multiple equilibria," Journal of Econometrics, Elsevier, vol. 203(2), pages 328-343.
    2. Erhao Xie, 2022. "Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors," Staff Working Papers 22-22, Bank of Canada.
    3. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    4. Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Is Industrial Production Still the Dominant Factor for the US Economy?," Swiss Finance Institute Research Paper Series 16-11, Swiss Finance Institute.
    5. Ruli Xiao, 2015. "Identification and Estimation of Incomplete Information Games with Multiple Equilibria," CAEPR Working Papers 2015-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    6. Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
    7. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    8. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
    9. Luo, Yao & Xiao, Ping & Xiao, Ruli, 2022. "Identification of dynamic games with unobserved heterogeneity and multiple equilibria," Journal of Econometrics, Elsevier, vol. 226(2), pages 343-367.
    10. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    11. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    12. Davide Pettenuzzo & Halbert White, 2010. "Granger Causality, Exogeneity, Cointegration, and Economic Policy Analysis," Working Papers 36, Brandeis University, Department of Economics and International Business School.
    13. Anyck Dauphin & Bernard Fortin & Guy Lacroix, 2018. "Is consumption efficiency within households falsifiable?," Review of Economics of the Household, Springer, vol. 16(3), pages 737-766, September.
    14. Ruli Xiao, 2016. "Nonparametric Identification of Dynamic Games with Multiple Equilibria and Unobserved Heterogeneity," CAEPR Working Papers 2016-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    15. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Business School, revised Sep 2013.

  10. Bruggeman, Annick & Camba-Méndez, Gonzalo & Fischer, Björn & Sousa, João, 2005. "Structural filters for monetary analysis: the inflationary movements of money in the euro area," Working Paper Series 470, European Central Bank.

    Cited by:

    1. Karl‐Friedrich Israel & Gunther Schnabl, 2024. "Alternative measures of price inflation and the perception of real income in Germany," The World Economy, Wiley Blackwell, vol. 47(2), pages 618-636, February.
    2. Christian Beer & Ernest Gnan & Maria Teresa Valderrama, 2016. "A (not so brief ) history of inflation in Austria," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 6-32.
    3. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    4. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    5. El-Shagi, Makram & Giesen, Sebastian, 2013. "Money and inflation: Consequences of the recent monetary policy," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 520-537.
    6. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    7. William A. Barnett & Neepa B. Gaekwad, 2018. "The Demand for Money for EMU: a Flexible Functional Form Approach," Open Economies Review, Springer, vol. 29(2), pages 353-371, April.
    8. Christian Bordes & Laurent Clerc, 2007. "Price Stability and the ECB'S monetary policy strategy," Post-Print hal-00308557, HAL.
    9. Petra Gerlach, 2006. "A Two-Pillar Phillips Curve for Switzerland," Working Papers 2006-09, Swiss National Bank.
    10. Sylvia Kaufmann & Peter Kugler, 2010. "A monetary real-time conditional forecast of euro area inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 388-405.
    11. Coffinet Jèrôme & Gouteron Sylvain, 2010. "Euro-Area Yield Curve Reaction to Monetary News," German Economic Review, De Gruyter, vol. 11(2), pages 208-224, May.
    12. Mr. Bernard J Laurens & Mr. Rodolfo Maino, 2007. "China: Strengthening Monetary Policy Implementation," IMF Working Papers 2007/014, International Monetary Fund.
    13. Chevapatrakul, Thanaset & Kim, Tae-Hwan & Mizen, Paul, 2012. "Monetary information and monetary policy decisions: Evidence from the euroarea and the UK," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 326-341.
    14. Tule Kpughur Moses & Oboh Ugbem Victor & Ebuh Godday Uwawunkonye & Onipede Samuel Fumilade & Gbadebo Nathaniel, 2020. "Does Exchange Rate Volatility Affect Economic Growth in Nigeria?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(7), pages 1-54, July.
    15. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    16. Sousa, Joao Miguel & Zaghini, Andrea, 2007. "Global monetary policy shocks in the G5: A SVAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(5), pages 403-419, December.
    17. António Rua, 2012. "Money Growth and Inflation in the Euro Area: A Time-Frequency View," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 875-885, December.
    18. João Valle e Azevedo, 2010. "Forecasting Inflation (and the Business Cycle?) with Monetary Aggregates," Working Papers w201024, Banco de Portugal, Economics and Research Department.
    19. D. M. Nachane & Amlendu Kumar Dubey, 2008. "The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis," Macroeconomics Working Papers 22369, East Asian Bureau of Economic Research.
    20. Nuno Alves, 2006. "Some Issues Concerning the Use of M3 for Monetary Policy Analysis in the Euro Area," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    21. D.M. Nachane & Amlendu Kumar Dubey, 2008. "The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-022, Indira Gandhi Institute of Development Research, Mumbai, India.
    22. Jerzy Pruski & Piotr Szpunar, 2008. "The monetary transmission mechanism in Poland," BIS Papers chapters, in: Bank for International Settlements (ed.), Transmission mechanisms for monetary policy in emerging market economies, volume 35, pages 427-437, Bank for International Settlements.
    23. Gerlach, Stefan & Assenmacher, Katrin, 2006. "Interpreting Euro Area Inflation at High and Low Frequencies," CEPR Discussion Papers 5632, C.E.P.R. Discussion Papers.
    24. Nachane, D.M. & Dubey, Amlendu Kumar, 2011. "The vanishing role of money in the macro-economy: An empirical investigation for India," Economic Modelling, Elsevier, vol. 28(3), pages 859-869, May.
    25. Egorov D.A. (Егоров, Д.А.) & Perevyshina E.A. (Перевышина, Е.А.), 2016. "Modelling of Inflationary Processes in Russia [Моделирование Инфляционных Процессов В России]," Working Papers 2138, Russian Presidential Academy of National Economy and Public Administration.
    26. Sylvia Kaufmann, 2007. "Capturing the Link between M3 Growth and Inflation in the Euro Area – An Econometric Model to Produce Conditional Inflation Forecasts," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 93-108.
    27. Tae-Hwan Kima & Paul Mizena & Alan Thanaset, 2007. "Predicting Directional Changes in Interest Rates: Gains from Using Information from Monetary Indicators," Discussion Papers 07/07, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    28. Elena Deryugina & Alexey Ponomarenko, 2017. "Money-based underlying inflation measure for Russia: a structural dynamic factor model approach," Empirical Economics, Springer, vol. 53(2), pages 441-457, September.
    29. Nuno Alves, 2007. "Is the euro area M3 abandoning us?," Working Papers w200720, Banco de Portugal, Economics and Research Department.
    30. Tayebi , Seyed Komail & Amini , Khaled Mohammad & Zamani , Zahra, 2012. "Inflation Determinants in Low and High Frequencies: An Implication of Spectral Analysis to Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 119-137, October.
    31. El-Shagi, Makram & Giesen, Sebastian, 2010. "Money and Inflation: The Role of Persistent Velocity Movements," IWH Discussion Papers 2/2010, Halle Institute for Economic Research (IWH).

  11. Bindseil, Ulrich & Camba-Méndez, Gonzalo & Hirsch, Astrid & Weller, Benedict, 2004. "Excess reserves and implementation of monetary policy of the ECB," Working Paper Series 361, European Central Bank.

    Cited by:

    1. Horst Maximilian & Neyer Ulrike, 2019. "The Impact of Quantitative Easing on Bank Loan Supply and Monetary Policy Implementation in the Euro Area," Review of Economics, De Gruyter, vol. 70(3), pages 229-265, December.
    2. Aberg, Pontus & Corsi, Marco & Grossmann-Wirth, Vincent & Hudepohl, Tom & Mudde, Yvo & Rosolin, Tiziana & Schobert, Franziska, 2021. "Demand for central bank reserves and monetary policy implementation frameworks: the case of the Eurosystem," Occasional Paper Series 282, European Central Bank.
    3. Elsamadisy, Elsayed Mousa & Alkhater, Khalid Rashid & Basher, Syed Abul, 2013. "Pre- versus Post-Crisis Central Banking in Qatar," MPRA Paper 45310, University Library of Munich, Germany.
    4. Link, Thomas & Neyer, Ulrike, 2016. "Transaction Cost Heterogeneity in the Interbank Market and Monetary Policy Implementation under alternative Interest Corridor Systems," VfS Annual Conference 2016 (Augsburg): Demographic Change 145853, Verein für Socialpolitik / German Economic Association.
    5. Horst, Maximilian & Neyer, Ulrike, 2019. "The impact of quantitative easing on bank loan supply and monetary policy implementation in the euro area," DICE Discussion Papers 325, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Pavon-Prado, David, 2022. "The cost of excess reserves and inflation in the United States during the last century," MPRA Paper 112797, University Library of Munich, Germany.
    7. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese Banks," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 63-72.
    8. Morgunov, V.I. (Моргунов, В.И.), 2016. "The Liquidity Management of the Banking Sector and the Short-Term Money Market Interest Rates [Управление Ликвидностью Банковского Сектора И Краткосрочной Процентной Ставкой Денежного Рынка]," Working Papers 21311, Russian Presidential Academy of National Economy and Public Administration.
    9. Baglioni, Angelo, 2024. "Monetary policy implementation: Which “new normal”?," Journal of International Money and Finance, Elsevier, vol. 141(C).
    10. Morten L. Bech & Elizabeth C. Klee, 2010. "The mechanics of a graceful exit: interest on reserves and segmentation in the federal funds market," Finance and Economics Discussion Series 2010-07, Board of Governors of the Federal Reserve System (U.S.).
    11. Vu Hong Thai Nguyen & Agyenim Boateng & David Newton, 2015. "Involuntary excess reserves, the reserve requirements and credit rationing in China," Applied Economics, Taylor & Francis Journals, vol. 47(14), pages 1424-1437, March.
    12. Link, Thomas & Neyer, Ulrike, 2017. "Friction-induced interbank rate volatility under alternative interest corridor systems," DICE Discussion Papers 259, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    13. Vari, Miklos, 2015. "Implementing Monetary Policy in a Fragmented Monetary Union," CEPREMAP Working Papers (Docweb) 1516, CEPREMAP.
    14. Monika Bucher & Achim Hauck & Ulrike Neyer, 2020. "Interbank market friction-induced holdings of precautionary liquidity: implications for bank loan supply and monetary policy implementation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(1), pages 165-222, July.
    15. Anne-Marie Rieu-Foucault, 2018. "Les interventions de crise de la FED et de la BCE diffèrent-elles ?," EconomiX Working Papers 2018-31, University of Paris Nanterre, EconomiX.
    16. Muhammad Omer & Jakob de Haan & Bert Scholtens, 2014. "Impact of Interbank Liquidity on Monetary Transmission Mechanism: A Case Study of Pakistan," SBP Working Paper Series 70, State Bank of Pakistan, Research Department.
    17. Miklos Vari, 2020. "Monetary Policy Transmission with Interbank Market Fragmentation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(2-3), pages 409-440, March.
    18. Bucher, Monika & Neyer, Ulrike, 2014. "Der Einfluss des (negativen) Einlagesatzes der EZB auf die Kreditvergabe im Euroraum," DICE Ordnungspolitische Perspektiven 64, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    19. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2015. "Bank excess reserves in emerging economies: A critical review and research agenda," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 158-166.
    20. Bindseil, Ulrich, 2004. "The operational target of monetary policy and the rise and fall of reserve position doctrine," Working Paper Series 372, European Central Bank.
    21. Thai V. H. Nguyen & Agyenim Boateng & Tra Thi Thu Pham, 2019. "Involuntary excess reserve and heterogeneous transmission of policy rates to bank lending rates in China," Empirical Economics, Springer, vol. 57(3), pages 1023-1044, September.
    22. Cassola, Nuno, 2008. "The reserve fulfilment path of euro area commercial banks: empirical testing using panel data," Working Paper Series 869, European Central Bank.
    23. Fernandes, Gláucia & Mendes, Layla dos Santos & Leite, Rodrigo de Oliveira, 2021. "Cash holdings and profitability of banks in developed and emerging markets," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 880-895.
    24. Nguyen, Vu Hong Thai & Boateng, Agyenim, 2013. "The impact of excess reserves beyond precautionary levels on Bank Lending Channels in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 358-377.
    25. Karel Brůna, 2010. "Monetary Policy Implementation and Liquidity Management of the Czech Banking System," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2010(3), pages 15-41.

  12. Camba-Méndez, Gonzalo & Kapetanios, George, 2004. "Forecasting euro area inflation using dynamic factor measures of underlying inflation," Working Paper Series 402, European Central Bank.

    Cited by:

    1. Stracca, Livio & Bilke, Laurent, 2008. "A persistence-weighted measure of core inflation in the euro area," Working Paper Series 905, European Central Bank.
    2. Christopher L. Gilbert & Duo Qin, 2007. "Representation in Econometrics: A Historical Perspective," Working Papers 583, Queen Mary University of London, School of Economics and Finance.
    3. Alonso Gomez & John M Maheu & Alex Maynard, 2008. "Improving Forecasts of Inflation using the Term Structure of Interest Rates," Working Papers tecipa-319, University of Toronto, Department of Economics.
    4. Bhattacharya, Rudrani & Kapoor, Mrigankshi, 2020. "Forecasting Consumer Price Index Inflation in India: Vector Error Correction Mechanism Vs. Dynamic Factor Model Approach for Non-Stationary Time Series," Working Papers 20/323, National Institute of Public Finance and Policy.
    5. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 27-42, March.
    6. Franz Ruch & Mehmet Balcilar Author-Name-First Mehmet & Mampho P. Modise & Rangan Gupta, 2015. "Forecasting Core Inflation: The Case of South Africa," Working Papers 15-08, Eastern Mediterranean University, Department of Economics.
    7. Milena Lipovina-Božović, 2013. "A Comparison Of The Var Model And The Pc Factor Model In Forecasting Inflation In Montenegro," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(198), pages 115-136, July - Se.
    8. Liam J. A. Lenten, 2010. "Bananas and petrol: further evidence on the forecasting accuracy of the ABS 'headline' and 'underlying' rates of inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 556-572.
    9. Viktors Ajevskis & Gundars Davidsons, 2008. "Dynamic Factor Models in Forecasting Latvia's Gross Domestic Product," Working Papers 2008/02, Latvijas Banka.
    10. Luetkepohl Helmut & Xu Fang, 2011. "Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-23, February.
    11. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    12. 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.
    13. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    14. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    15. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
    16. In Choi, 2011. "Efficient Estimation of Nonstationary Factor Models," Working Papers 1101, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.
    17. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    18. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    19. Petar Sorić & Ivana Lolić, 2015. "A note on forecasting euro area inflation: leave- $$h$$ h -out cross validation combination as an alternative to model selection," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 205-214, March.
    20. Barakchian , Seyed Mahdi & Bayat , Saeed & Karami , Hooman, 2013. "Common Factors of CPI Sub-aggregates and Forecast of Inflation," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 1-17, October.
    21. 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.
    22. Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.

  13. Camba-Méndez, Gonzalo & Kapetanios, George, 2004. "Estimating the rank of the spectral density matrix," Working Paper Series 349, European Central Bank.

    Cited by:

    1. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    2. Gonzalo Camba-Mendez & George Kapetanios, 2009. "Statistical Tests and Estimators of the Rank of a Matrix and Their Applications in Econometric Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 581-611.

  14. Nigel Pain, 2003. "What Determines Industrial R&D Expenditure in the UK?," National Institute of Economic and Social Research (NIESR) Discussion Papers 211, National Institute of Economic and Social Research.

    Cited by:

    1. Annette Alstadsæter & Salvador Barrios & Gaëtan Nicodème & Agnieszka Maria Skonieczna & Antonio Vezzani, 2018. "Patent boxes design, patents location, and local R&D," ULB Institutional Repository 2013/270539, ULB -- Universite Libre de Bruxelles.
    2. Anna Bialek-Jaworska & Renata Gabryelczyk & Agnieszka Pugaczewicz, 2016. "Determinants of Business Model Maturity (Determinanty dojrzalosci modeli biznesowych)," Research Reports, University of Warsaw, Faculty of Management, vol. 1(20), pages 7-23.
    3. Stehnken, Thomas & Schöfl, Isabel & Danneil, Thomas & Astor, Michael & Rammer, Christian & Peters, Bettina & Ehrlich, Alexander & Kraft, Kornelius, 2024. "Evaluation des "Zentralen Innovationsprogramms Mittelstand" (ZIM): Endbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 300894.
    4. Chen, Shiu-Sheng, 2017. "Exchange rate undervaluation and R&D activity," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 148-160.
    5. Tim Buyse & Freddy Heylen & Ruben Schoonackers, 2016. "On the role of public policies and wage formation for private investment in R&D:A long-run panel analysis," Working Paper Research 292, National Bank of Belgium.
    6. Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli, 2011. "R&D and productivity: testing sectoral peculiarities using micro data," Empirical Economics, Springer, vol. 41(3), pages 817-839, December.
    7. Massimiliano Corradini & Valeria Costantini & Susanna Mancinelli & Massimiliano Mazzanti, 2011. "Environmental and innovation performance in a dynamic impure public good framework," Departmental Working Papers of Economics - University 'Roma Tre' 0141, Department of Economics - University Roma Tre.
    8. Neto, António & Furukawa, Yuichi & Ribeiro, Ana Paula, 2017. "Can Trade Unions Increase Social Welfare? An R&D Model with Cash-in-Advance Constraints," MPRA Paper 77312, University Library of Munich, Germany.
    9. Yoshihiro Kameyama, 2011. "Effects of Technological Networks of Small and Medium-sized Firms on their R&D Activities in Shihwa Industrial Complex, Korea: Toward Industrial Cluster Formation and Regional Integration," Chapters, in: Akifumi Kuchiki & Masatsugu Tsuji (ed.), Industrial Clusters, Upgrading and Innovation in East Asia, chapter 10, Edward Elgar Publishing.
    10. Driss El Kadiri Boutchich, 2020. "Factors with significant impact on efficiency of research laboratories: case of the public university," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1317-1333, August.
    11. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.
    12. Amy Kahn & Atoko Kasongo & Moses M. Sithole & Kgabo Hector Ramoroka, 2024. "An analysis of the micro- and macro-economic determinants of firm R&D intensity in the South African business sector," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 16(3), pages 297-308, April.
    13. Castellani, Davide & Piva, Mariacristina & Schubert, Torben & Vivarelli, Marco, 2016. "R&D and Productivity in the US and the EU: Sectoral Specificities and Differences in the Crisis," Papers in Innovation Studies 2016/15, Lund University, CIRCLE - Centre for Innovation Research.
    14. Jamasb, T. & Pollitt, M., 2005. "Deregulation and R&D in Network Industries: The Case of the Electricity Industry," Cambridge Working Papers in Economics 0533, Faculty of Economics, University of Cambridge.
    15. Saleh S. Tabrizy, 2020. "Industrial research and development and real exchange rate depreciation in a small open economy," The World Economy, Wiley Blackwell, vol. 43(9), pages 2490-2523, September.
    16. Lehnert, Patrick & Pfister, Curdin & Backes-Gellner, Uschi, 2020. "Employment of R&D personnel after an educational supply shock: Effects of the introduction of Universities of Applied Sciences in Switzerland," Labour Economics, Elsevier, vol. 66(C).
    17. Tarek SADRAOUI & Adnen CHOCKRI, 2011. "Relationship Between Private and Public Investment in R&D: A Dynamic Panel Data Analysis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 8, pages 197-212, December.
    18. Maria Grazia Zoia & Laura Barbieri & Flavia Cortelezzi & Giovanni Marseguerra, 2018. "The determinants of Italian firms’ technological competencies and capabilities," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(4), pages 453-476, December.
    19. Bettina Becker & Stephen Hall, 2013. "Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption," Economic Change and Restructuring, Springer, vol. 46(2), pages 183-202, May.
    20. Davis, Nick, 2006. "Business R&D, Innovation and Economic Growth: An Evidence-Based Synthesis of the Policy Issues," Occasional Papers 06/8, Ministry of Economic Development, New Zealand.
    21. Qingjun Zhao & Jiancheng Guan, 2012. "Modeling the dynamic relation between science and technology in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 561-579, February.
    22. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    23. Sandro Montresor & Francesco Quatraro, 2015. "Key Enabling Technologies and Smart Specialization Strategies. European Regional Evidence from patent data," JRC Working Papers on Corporate R&D and Innovation 2015-05, Joint Research Centre.
    24. Amy Kahn & Moses Sithole & Yasser Buchana, 2022. "An analysis of the impact of technological innovation on productivity in South African manufacturing firms using direct measures of innovation," South African Journal of Economics, Economic Society of South Africa, vol. 90(1), pages 37-56, March.
    25. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    26. Paola Cardamone, 2012. "A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification," Journal of Productivity Analysis, Springer, vol. 37(1), pages 41-58, February.
    27. Adcock, Christopher & Hua, Xiuping & Mazouz, Khelifa & Yin, Shuxing, 2014. "Does the stock market reward innovation? European stock index reaction to negative news during the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 470-491.
    28. Wanshu Wu & Kai Zhao & Lei Li, 2021. "Can government subsidy strategies and strategy combinations effectively stimulate enterprise innovation? Theory and evidence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 423-446, July.
    29. Abdul Hai Rathore & Abdullah Sahi, 2022. "The impact of Corporate Governance on voluntary disclosure of R&D expenditure of USA Pharmaceutical firms," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(2), pages 34-53, August.

  15. Camba-Méndez, Gonzalo & Garcí­a, Juan Angel & Rodriguez-Palenzuela, Diego, 2003. "Relevant economic issues concerning the optimal rate of inflation," Working Paper Series 278, European Central Bank.

    Cited by:

    1. William T. Dickens & Lorenz Goette & Erica L. Groshen & Steinar Holden & Julian Messina & Mark E. Schweitzer & Jarkko Turunen & Melanie Ward, 2007. "How wages change: micro evidence from the international wage flexibility project," Staff Reports 275, Federal Reserve Bank of New York.
    2. Pavel Gertler & Matúš Senaj, 2010. "Downward Wage Rigidities in Slovakia," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(1), pages 079-101, March.
    3. Knoppik, Christoph, 2007. "Skewness and Location of Distributions of Wage Change Rates in the Presence of Downward Nominal Wage Rigidity," University of Regensburg Working Papers in Business, Economics and Management Information Systems 420, University of Regensburg, Department of Economics.
    4. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    5. Christian Bordes & Laurent Clerc, 2007. "Price Stability and the ECB'S monetary policy strategy," Post-Print hal-00308557, HAL.
    6. Steinar Holden & Fredrik Wulfsberg, 2007. "Are Real Wages Rigid Downwards?," CESifo Working Paper Series 1983, CESifo.
    7. Issing, Otmar, 2005. "The ECB and the euro--the first 6 years: A view from the ECB," Journal of Policy Modeling, Elsevier, vol. 27(4), pages 405-420, June.
    8. Cecion, Martina & Coenen, Günter & Gerke, Rafael & Le Bihan, Hervé & Motto, Roberto & Aguilar, Pablo & Ajevskis, Viktors & Giesen, Sebastian & Albertazzi, Ugo & Gilbert, Niels & Al-Haschimi, Alexander, 2021. "The ECB’s price stability framework: past experience, and current and future challenges," Occasional Paper Series 269, European Central Bank.
    9. Jesús Crespo Cuaresma & Maria Silgoner, 2014. "Economic Growth and Inflation in Europe: A Tale of Two Thresholds," Journal of Common Market Studies, Wiley Blackwell, vol. 52(4), pages 843-860, July.
    10. Thomas Beissinger & Christoph Knoppik, 2006. "Downward Nominal Wage Rigidity in Europe: An Analysis of European Micro Data from the ECHP 1994-2001," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 275/2006, Department of Economics, University of Hohenheim, Germany.
    11. Steinar Holden, 2004. "Wage Formation under Low Inflation," CESifo Working Paper Series 1252, CESifo.
    12. Steinar Holden & Fredrik Wulfsberg, 2007. "How strong is the case for downward real wage rigidity?," Working Papers 07-6, Federal Reserve Bank of Boston.
    13. Fagan, Gabriel & Messina, Julián, 2009. "Downward wage rigidity and optimal steady-state inflation," Working Paper Series 1048, European Central Bank.
    14. Hammermann, Felix & Flanagan, Mark, 2007. "What Explains Persistent Inflation Differentials Across Transition Economies?," Kiel Working Papers 1373, Kiel Institute for the World Economy (IfW Kiel).
    15. Consolo, Agostino & Koester, Gerrit & Nickel, Christiane & Porqueddu, Mario & Smets, Frank, 2021. "The need for an inflation buffer in the ECB’s price stability objective – the role of nominal rigidities and inflation differentials," Occasional Paper Series 279, European Central Bank.
    16. Knoppik, Christoph, 2007. "The kernel-location approach: A new non-parametric approach to the analysis of downward nominal wage rigidity in micro data," Economics Letters, Elsevier, vol. 97(3), pages 253-259, December.
    17. Ha,Jongrim & Ivanova,Anna & Ohnsorge,Franziska Lieselotte & Unsal Portillo Ocando,Derya Filiz, 2019. "Inflation : Concepts, Evolution, and Correlates," Policy Research Working Paper Series 8738, The World Bank.
    18. Bofinger, Peter & Schnabel, Isabel & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2014. "Mehr Vertrauen in Marktprozesse. Jahresgutachten 2014/15 [More confidence in market processes. Annual Report 2014/15]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201415, September.
    19. Rostagno, Massimo & Altavilla, Carlo & Carboni, Giacomo & Lemke, Wolfgang & Motto, Roberto & Saint Guilhem, Arthur & Yiangou, Jonathan, 2019. "A tale of two decades: the ECB’s monetary policy at 20," Working Paper Series 2346, European Central Bank.
    20. Philip Du Caju & Catherine Fuss & Ladislav Wintr, 2007. "Downward wage rigidity for different workers and firms : an evaluation for Belgium using the IWFP procedure," Working Paper Research 124, National Bank of Belgium.

  16. Camba-Méndez, Gonzalo & Lamo, Ana, 2002. "Short-term monitoring of fiscal policy discipline," Working Paper Series 152, European Central Bank.

    Cited by:

    1. MOULIN, Laurent & SALTO, Matteo & SILVESTRINI, Andrea & VEREDAS, David, 2004. "Using intra annual information to forecast the annual state deficits : the case of France," LIDAM Discussion Papers CORE 2004048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. SILVESTRINI, Andrea & SALTo, Matteo & MOULIN, Laurent & VEREDAS, David, 2009. "Monitoring and forecasting annual public deficit every month: the case of France," LIDAM Reprints CORE 2019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Teresa Leal & Javier J. Pérez, 2004. "Monitorización de objetivos fiscales anuales: una aplicación con datos regionales," Economic Working Papers at Centro de Estudios Andaluces E2004/66, Centro de Estudios Andaluces.
    4. Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
    5. Onorante, Luca & Pedregal, Diego J. & Pérez, Javier J. & Signorini, Sara, 2008. "The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area," Working Paper Series 901, European Central Bank.
    6. Cláudia Braz & Paulo Esteves, 2013. "Short-term forecasting of indirect tax revenues: an application for Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    7. Arjocu Ana-Maria & Dronca Alexandru, 2015. "Measuring The Structural Budget Deficit In The European Union," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 147-153, February.
    8. de Groot, Oliver & Holm-Hadulla, Fédéric & Leiner-Killinger, Nadine, 2015. "Cost of borrowing shocks and fiscal adjustment," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 23-48.
    9. Javier J. Pérez, 2005. "Early-warning tools to forecast General Government deficit in the euro area: the role of intra-annual fiscal Indicators," Economic Working Papers at Centro de Estudios Andaluces E2005/14, Centro de Estudios Andaluces.
    10. Pérez, Javier J. & Pedregal, Diego J., 2008. "Should quarterly government finance statistics be used for fiscal surveillane in Europe?," Working Paper Series 937, European Central Bank.
    11. Perez, Javier J., 2007. "Leading indicators for euro area government deficits," International Journal of Forecasting, Elsevier, vol. 23(2), pages 259-275.

  17. Alberto Cabrero & Gonzalo Camba-Mendez & Astrid Hirsch & Fernando Nieto, 2002. "Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank," Working Papers 0211, Banco de España.

    Cited by:

    1. Noriega Antonio E. & Ramos Francia Manuel, 2009. "On the dynamics of inflation persistence around the world," Working Papers 2009-02, Banco de México.
    2. Ioana Florentina SAVU, 2011. "National Bank of Romania Management in Time of Financial Crisis," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(5), pages 1013-1021, December.
    3. Sylvestre, Julie & Coutinho, Cristina, 2020. "The use of the Eurosystem’s monetary policy instruments and its monetary policy implementation framework between the first quarter of 2018 and the fourth quarter of 2019," Occasional Paper Series 245, European Central Bank.
    4. García, Juan R. & Pacce, Matías & Rodrigo, Tomasa & Ruiz de Aguirre, Pep & Ulloa, Camilo A., 2021. "Measuring and forecasting retail trade in real time using card transactional data," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1235-1246.
    5. Fischer, Björn & Köhler-Ulbrich, Petra & Seitz, Franz, 2004. "The demand for euro area currencies: past, present and future," Working Paper Series 330, European Central Bank.
    6. Bindseil, Ulrich & Nyborg, Kjell G., 2007. "Monetary policy implementation: A European Perspective," Discussion Papers 2007/10, Norwegian School of Economics, Department of Business and Management Science.
    7. Halil Guler & Anil Talasli, 2010. "Modelling the Daily Currency in Circulation in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 10(1), pages 29-46.
    8. Marek Hlavacek & Michael Konak & Josef Cada, 2005. "The Application of Structured Feedforward Neural Networks to the Modelling of Daily Series of Currency in Circulation," Working Papers 2005/11, Czech National Bank.
    9. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    10. Erica Rizziato, 2010. "La Formazione-sviluppo per la creazione di moderne comunità lavorative [Developmnt-training to create working communities]," CERIS Working Paper 201003, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    11. Mr. Romain M Veyrune & Shaoyu Guo, 2019. "Autonomous Factor Forecast Quality: The Case of the Eurosystem," IMF Working Papers 2019/296, International Monetary Fund.
    12. Anirudh Tagat & Mehmet Özmen & Gregory Markowsky, 2024. "Banknote Life in India: A Survival Analysis Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(2), pages 519-545, June.
    13. Balli, Faruk & Elsamadisy, Elsayed, 2010. "Modelling the Currency in Circulation for the State of Qatar," MPRA Paper 20159, University Library of Munich, Germany.
    14. Bindseil, Ulrich, 2020. "Tiered CBDC and the financial system," Working Paper Series 2351, European Central Bank.
    15. Deinhammer, Harald & Ladi, Anna, 2017. "Modelling euro banknote quality in circulation," Occasional Paper Series 204, European Central Bank.
    16. Ioana Florentina SAVU, 2011. "Developing Partnership between National Bank of Romania and Universities," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(3), pages 565-574, July.
    17. Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2012. "Forecasting weekly Canary tomato exports from annual surface data," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126364, International Association of Agricultural Economists.
    18. Ollech, Daniel, 2018. "Seasonal adjustment of daily time series," Discussion Papers 41/2018, Deutsche Bundesbank.
    19. Maroje Lang & Davor Kunovac & Silvio Basač & Željka Štaudinger, 2008. "Modelling of Currency outside Banks in Croatia," Working Papers 17, The Croatian National Bank, Croatia.
    20. Diego Bodas & Juan R. García López & Tomasa Rodrigo López & Pep Ruiz de Aguirre & Camilo A. Ulloa & Juan Murillo Arias & Juan de Dios Romero Palop & Heribert Valero Lapaz & Matías J. Pacce, 2019. "Measuring retail trade using card transactional data," Working Papers 1921, Banco de España.
    21. Kaushik Bhattacharya & Sunny Kumar Singh, 2016. "Impact of Payment Technology on Seasonality of Currency in Circulation: Evidence from the USA and India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 117-136, June.
    22. Bindseil, Ulrich & Camba-Mendez, Gonzalo & Hirsch, Astrid & Weller, Benedict, 2006. "Excess reserves and the implementation of monetary policy of the ECB," Journal of Policy Modeling, Elsevier, vol. 28(5), pages 491-510, July.
    23. Nasir Hamid Rao & Syed Kalim Hyder Bukhari & Abdul Jalil, 2011. "Detection and Forecasting of Islamic Calendar Effects in Time Series Data: Revisited," Working Papers id:4290, eSocialSciences.
    24. Assenmacher, Katrin & Seitz, Franz & Tenhofen, Jörn, 2017. "The use of large denomination banknotes in Switzerland," International Cash Conference 2017 – War on Cash: Is there a Future for Cash? 162917, Deutsche Bundesbank.
    25. Michael Wagner, 2010. "Forecasting Daily Demand in Cash Supply Chains," American Journal of Economics and Business Administration, Science Publications, vol. 2(4), pages 377-383, November.
    26. Mariam El Hamiani Khatat, 2018. "Monetary Policy and Models of Currency Demand," IMF Working Papers 2018/028, International Monetary Fund.

  18. Camba-Méndez, Gonzalo & Kapetanios, George, 2001. "Spectral based methods to identify common trends and common cycles," Working Paper Series 62, European Central Bank.

    Cited by:

    1. Crowley, Patrick M., 2010. "Long cycles in growth: explorations using new frequency domain techniques with US data," Bank of Finland Research Discussion Papers 6/2010, Bank of Finland.
    2. Pami Dua & Vineeta Sharma, 2013. "Measurement And Patterns Of International Synchronization-- A Spectral Approach," Working papers 224, Centre for Development Economics, Delhi School of Economics.
    3. Patrick Crowley, 2005. "An intuitive guide to wavelets for economists," Econometrics 0503017, University Library of Munich, Germany.
    4. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    5. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.

  19. Camba-Méndez, Gonzalo & Rodriguez-Palenzuela, Diego, 2001. "Assessment criteria for output gap estimates," Working Paper Series 54, European Central Bank.

    Cited by:

    1. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," SciencePo Working papers Main hal-00972840, HAL.
    2. Isabell Koske & Nigel Pain, 2008. "The Usefulness of Output Gaps for Policy Analysis," OECD Economics Department Working Papers 621, OECD Publishing.
    3. Matthieu Lemoine, 2006. "Annex A5 : A model of the stochastic convergence between euro area business cycles," Working Papers hal-00972793, HAL.
    4. Mabrouk Chetouane & Matthieu Lemoine & Marie-Elisabeth de La Serve, 2011. "Impact de la crise sur la croissance potentielle," Post-Print hal-03389354, HAL.
    5. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.
    6. Massimiliano Marcellino & Alberto Musso, 2010. "the Reliability of Real Time Estimates of the EURO Area Output Gap," Economics Working Papers ECO2010/06, European University Institute.
    7. Michael W. McCracken & Todd E. Clark, 2003. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Computing in Economics and Finance 2003 183, Society for Computational Economics.
    8. International Monetary Fund, 2005. "Inflation Targeting and Output Growth: Empirical Evidence for the European Union," IMF Working Papers 2005/089, International Monetary Fund.
    9. Thierno Thioune, 2019. "Output Gap Estimates in the WAEMU Zone," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 182-192.
    10. Lemoine, Matthieu & Mazzi, Gian Luigi & Monperrus-Veroni, Paola & Reynes, Frédéric, 2008. "Real time estimation of potential output and output gap for theeuro-area: comparing production function with unobserved componentsand SVAR approaches," MPRA Paper 13128, University Library of Munich, Germany, revised Nov 2008.
    11. Kosei Fukuda, 2010. "Three new empirical perspectives on the Hodrick–Prescott parameter," Empirical Economics, Springer, vol. 39(3), pages 713-731, December.
    12. Lillian Kamal, 2014. "Do GAP Models Still have a Role to Play in Forecasting Inflation?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(3), pages 1-12.
    13. Yap, Josef T., 2003. "The Output Gap and Its Role in Inflation-Targeting in the Philippines," Discussion Papers DP 2003-10, Philippine Institute for Development Studies.
    14. Xiaoshan Chen & Terence Mills, 2012. "Measuring the Euro area output gap using a multivariate unobserved components model containing phase shifts," Empirical Economics, Springer, vol. 43(2), pages 671-692, October.
    15. Constantina Kottaridi & Diego Mendez-Carbajo & Dimitrios Thomakos, 2007. "Inflation Dynamics and the Cross-Sectional Distribution of Prices in the E.U. Periphery," Working Papers 0004, University of Peloponnese, Department of Economics.
    16. Dana Kloudova, 2015. "Estimating Output Gap and Potential Output for Russia and Its Usefulness by Forecasting Inflation," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(1), pages 45-59, March.
    17. Sergey Sinelnikov-Murylev & Sergey Drobyshevsky & Maria Kazakova & Michael Alexeev, . "Decomposition of Russia's GDP Growth Rates," Research Paper Series, Gaidar Institute for Economic Policy, pages 123-123.
    18. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    19. Odile Chagny & Matthieu Lemoine, 2003. "Ecart de production dans la zone euro : une estimation par le filtre de Hodrick-Prescott multivarié," SciencePo Working papers Main hal-01019442, HAL.
    20. Chalmovianský, Jakub & Němec, Daniel, 2022. "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, vol. 116(C).
    21. Gonzalo Llosa & Shirley Miller, 2005. "Using additional information in estimating the output gap in Peru: a multivariate unobserved component approach," Working Papers 2005-004, Banco Central de Reserva del Perú.
    22. González-Astudillo, Manuel, 2019. "An output gap measure for the euro area: Exploiting country-level and cross-sectional data heterogeneity," European Economic Review, Elsevier, vol. 120(C).
    23. Stracca, Livio & Musso, Alberto & van Dijk, Dick, 2007. "Instability and nonlinearity in the euro area Phillips curve," Working Paper Series 811, European Central Bank.
    24. Gabriel RODRIGUEZ, 2010. "Estimating Output Gap, Core Inflation, And The Nairu For Peru, 1979-2007," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    25. Adrian pagan & Don Harding, 2006. "The Econometric Analysis of Constructed Binary Time Series. Working paper #1," NCER Working Paper Series 1, National Centre for Econometric Research.
    26. Anh Dinh Minh Nguyen, 2017. "U.K. Monetary Policy under Inflation Targeting," Bank of Lithuania Working Paper Series 41, Bank of Lithuania.
    27. Rafael Doménech & Víctor Gómez, 2005. "Ciclo económico y desempleo estructural en la economía española," Investigaciones Economicas, Fundación SEPI, vol. 29(2), pages 259-288, May.
    28. Ariño, Miguel A. & Canela, Miguel A., 2002. "Evolución de la inflación en España," IESE Research Papers D/446, IESE Business School.
    29. Adrian Pagan, 2005. "Some Econometric Analysis Of Constructed Binary Time Series," CAMA Working Papers 2005-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Granados, Camilo & Parra-Amado, Daniel, 2024. "Estimating the output gap after COVID: How to address unprecedented macroeconomic variations," Economic Modelling, Elsevier, vol. 135(C).
    31. Mr. Angel J. Ubide & Mr. Kevin Ross, 2001. "Mind the Gap: What is the Best Measure of Slack in the Euro Area?," IMF Working Papers 2001/203, International Monetary Fund.
    32. Morley, James & Palenzuela, Diego Rodriguez & Sun, Yiqiao & Wong, Benjamin, 2022. "Estimating the Euro Area output gap using multivariate information and addressing the COVID-19 pandemic," Working Paper Series 2716, European Central Bank.
    33. Matthieu LEMOINE & Odile CHAGNY, 2005. "Estimating the potential output of the euro area with a semi-structural multivariate Hodrick-Prescott filter," Computing in Economics and Finance 2005 344, Society for Computational Economics.
    34. Alvaro Aguiar & Manuel Martins, 2005. "Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area," Empirical Economics, Springer, vol. 30(3), pages 665-691, October.
    35. Mr. Alvar Kangur & Koralai Kirabaeva & Jean-Marc Natal & Simon Voigts, 2019. "How Informative Are Real Time Output Gap Estimates in Europe?," IMF Working Papers 2019/200, International Monetary Fund.
    36. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    37. Sven Langedijk & Martin Larch, 2011. "Testing EU fiscal surveillance: how sensitive is it to variations in output gap estimates?," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 39-60.
    38. Cayen, Jean-Philippe & van Norden, Simon, 2004. "The reliability of Canadian output gap estimates," Discussion Paper Series 1: Economic Studies 2004,29, Deutsche Bundesbank.
    39. Paolo Guarda, 2002. "Potential output and the output gap in Luxembourg: some alternative methods," BCL working papers 4, Central Bank of Luxembourg.
    40. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    41. Tommaso Proietti, 2009. "Structural Time Series Models for Business Cycle Analysis," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 9, pages 385-433, Palgrave Macmillan.
    42. Don Harding & Adrian Pagan, 2006. "The Econometric Analysis of Constructed Binary Time Series," Department of Economics - Working Papers Series 963, The University of Melbourne.
    43. Rodríguez, Gabriel, 2009. "Estimating Output Gap, Core Inflation, and the NAIRU for Peru," Working Papers 2009-011, Banco Central de Reserva del Perú.
    44. Rafael Domenech & Mayte Ledo & David Taguas, 2001. "A Small Forward-Looking Macroeconomic Model for EMU," Working Papers 0102, BBVA Bank, Economic Research Department.
    45. Christian Schumacher, 2001. "Trend and Cycle in the Euro-Area: A Permanent-Transitory Decomposition Using a Cointegrated VAR Model," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 352-363.
    46. Kloudová Dana, 2014. "Estimating Output Gap and Potential Output for Russia and Its Uselfulness by Forecasting Inflation," Proceedings of Economics and Finance Conferences 0402134, International Institute of Social and Economic Sciences.
    47. Hilde C. Bjørnland & Leif Brubakk & Anne Sofie Jore, 2006. "Forecasting inflation with an uncertain output gap," Working Paper 2006/02, Norges Bank.
    48. Ms. Burcu Hacibedel & Pierre Mandon & Ms. Priscilla S Muthoora & Nathalie Pouokam, 2019. "Inequality in Good and Bad Times: A Cross-Country Approach," IMF Working Papers 2019/020, International Monetary Fund.
    49. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Papers 115, National Institute of Economic Research.
    50. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.
    51. Lemoine, M. & de la Serve, M.E. & Chetouane, M., 2011. "Impact of the crisis on potential growth: An approach based on unobserved component models (in french)," Working papers 331, Banque de France.
    52. Matthieu Lemoine, 2005. "A model of the stochastic convergence between business cycles," Documents de Travail de l'OFCE 2005-05, Observatoire Francais des Conjonctures Economiques (OFCE).
    53. Winkelried, Diego, 2013. "Modelo de Proyección Trimestral del BCRP: Actualización y novedades," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 9-60.
    54. Ms. Silvia Sgherri, 2005. "Long-Run Productivity Shifts and Cyclical Fluctuations: Evidence for Italy," IMF Working Papers 2005/228, International Monetary Fund.
    55. Bassanetti, Antonio & Döpke, Jörg & Torrini, Roberto & Zizza, Roberta, 2006. "Capital, labour and productivity: What role do they play in the potential GPD weakness of France, Germany and Italy?," Discussion Paper Series 1: Economic Studies 2006,09, Deutsche Bundesbank.
    56. Tommaso PROIETTI & Alberto MUSSO & Thomas WESTERMANN, 2002. "Estimating Potential Output and the Output Gap for the Euro Area: a Model-Based Production Function Approach," Economics Working Papers ECO2002/09, European University Institute.
    57. Yigal Menashe & Yossi Yakhin, 2004. "Mind the Gap: Structural and Nonstructural Approaches to Estimating Israel's Output Gap," Israel Economic Review, Bank of Israel, vol. 2(2), pages 79-106.
    58. Tóth, Máté, 2021. "A multivariate unobserved components model to estimate potential output in the euro area: a production function based approach," Working Paper Series 2523, European Central Bank.
    59. Matthieu Lemoine & Gian Luigi Mazzi & Paola Monperrus-Veroni & Frédéric Reynes, 2010. "A new production function estimate of the euro area output gap This paper is based on a report for Eurostat: 'Real time estimation of potential output, output gap, NAIRU and Phillips curve for Euro-zo," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 29-53.
    60. Nicholas Apergis & Stephen M. Miller & Alexandros Panethimitakis & Athanassios Vamvakidis, 2005. "Inflation Targeting and Output Growth: Evidence from Aggregate European Data," Working papers 2005-06, University of Connecticut, Department of Economics.
    61. Alvaro Aguiar & Manuel M. F. Martins, 2003. "Trend, cycle, and non-linear trade-off in the Euro Area 1970-2001," FEP Working Papers 122, Universidade do Porto, Faculdade de Economia do Porto.

  20. Camba-Méndez, Gonzalo & Kapetanios, George, 2001. "Testing the rank of the Hankel matrix: a statistical approach," Working Paper Series 45, European Central Bank.

    Cited by:

    1. Bauer, Dietmar, 2009. "Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 397-421, March.
    2. d’Artis Kancs & Julda Kielyte, 2002. "Migration in the Enlarged European Union: Empirical Evidence for Labour Mobility in the Baltic States," EERI Research Paper Series EERI_RP_2002_04, Economics and Econometrics Research Institute (EERI), Brussels.
    3. George Kapetanios, 2003. "A New Nonparametric Test of Cointegration Rank," Working Papers 482, Queen Mary University of London, School of Economics and Finance.
    4. Gonzalo Camba-Mendez & George Kapetanios, 2002. "Bootstrap Statistical Tests of Rank Determination for System Identification," Working Papers 468, Queen Mary University of London, School of Economics and Finance.
    5. Zaka Ratsimalahelo, 2003. "Rank Test Based On Matrix Perturbation Theory," Econometrics 0306008, University Library of Munich, Germany.
    6. Düker, Marie-Christine & Pipiras, Vladas & Sundararajan, Raanju, 2022. "Cotrending: Testing for common deterministic trends in varying means model," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
    7. Bauer, Dietmar, 2008. "Using Subspace Methods For Estimating Arma Models For Multivariate Time Series With Conditionally Heteroskedastic Innovations," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1063-1092, August.
    8. Georgios Chortareas & George Kapetanios, 2004. "Getting PPP Right: Identifying Mean Reverting Real Exchange Rates in Panels," Money Macro and Finance (MMF) Research Group Conference 2004 32, Money Macro and Finance Research Group.
    9. George Kapetanios, 2003. "Determining the Stationarity Properties of Individual Series in Panel Datasets," Working Papers 495, Queen Mary University of London, School of Economics and Finance.
    10. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.
    11. George Kapetanios, 2003. "Determining the Poolability of Individual Series in Panel Datasets," Working Papers 499, Queen Mary University of London, School of Economics and Finance.
    12. Gonzalo Camba-Mendez & George Kapetanios, 2005. "Statistical Tests of the Rank of a Matrix and Their Applications in Econometric Modelling," Working Papers 541, Queen Mary University of London, School of Economics and Finance.

  21. Gonzalo Camba-Mendez, 1999. "A Bootstrap Test of Cointegration Rank," National Institute of Economic and Social Research (NIESR) Discussion Papers 151, National Institute of Economic and Social Research.

    Cited by:

    1. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.

  22. Dr Martin Weale & Gonzalo Camba-Mendez & George Kapetanios & Ray Smith, 1999. "The Forecasting Performance of the OECD Composite Leading Indicators for France, Germany, Italy," National Institute of Economic and Social Research (NIESR) Discussion Papers 155, National Institute of Economic and Social Research.

    Cited by:

    1. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    2. Blaskowitz, Oliver J. & Herwartz, Helmut, 2008. "Adaptive forecasting of the EURIBOR swap term structure," SFB 649 Discussion Papers 2008-017, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Hahn, Elke & de Bondt, Gabe, 2010. "Predicting recessions and recoveries in real time: The euro area-wide leading indicator (ALI)," Working Paper Series 1246, European Central Bank.
    4. Jennifer Castle & David Hendry & Nicholas W.P. Fawcett, 2011. "Forecasting breaks and forecasting during breaks," Economics Series Working Papers 535, University of Oxford, Department of Economics.
    5. Fichtner, Ferdinand & Rüffer, Rasmus & Schnatz, Bernd, 2009. "Leading indicators in a globalised world," Working Paper Series 1125, European Central Bank.

  23. Dr Martin Weale & Andrew P Blake & Gonzalo Camba-Mendez, 1998. "UK Consumption in the long run: the determinants of consumer spending 1925-1995," National Institute of Economic and Social Research (NIESR) Discussion Papers 138, National Institute of Economic and Social Research.

    Cited by:

    1. Neményi, Judit, 2003. "Az euró bevezetésének feltételei Magyarországon [The conditions for introducing the euro in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 479-504.

Articles

  1. Camba-Mendez, Gonzalo & Mongelli, Francesco Paolo, 2021. "Risk aversion and bank loan pricing," Economics Letters, Elsevier, vol. 200(C).
    See citations under working paper version above.
  2. Camba-Méndez, Gonzalo & Forsells, Magnus, 2018. "The recent slowdown in euro area output growth reflects both cyclical and temporary factors," Economic Bulletin Boxes, European Central Bank, vol. 4.

    Cited by:

    1. Alessandro Mistretta, 2021. "Business cycle synchronization or business cycle transmission? The effect of the German slowdown on the Italian economy," Temi di discussione (Economic working papers) 1346, Bank of Italy, Economic Research and International Relations Area.

  3. Francesco Paolo Mongelli & Gonzalo Camba-Mendez, 2018. "The Financial Crisis and Policy Responses in Europe (2007–2018)," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(4), pages 531-558, December.

    Cited by:

    1. Carsten M. Stann & Theocharis N. Grigoriadis, 2020. "Monetary Policy Transmission to Russia and Eastern Europe," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 62(2), pages 303-353, June.
    2. Adler, Martin & Camba-Méndez, Gonzalo & Džaja, Tomislav & Manzanares, Andrés & Metra, Matteo & Vocalelli, Giorgio, 2023. "The valuation haircuts applied to eligible marketable assets for ECB credit operations," Occasional Paper Series 312, European Central Bank.
    3. Jung, Alexander, 2023. "Are monetary policy shocks causal to bank health? Evidence from the euro area," Journal of Macroeconomics, Elsevier, vol. 75(C).

  4. Camba-Méndez, Gonzalo & Serwa, Dobromił, 2016. "Market perception of sovereign credit risk in the euro area during the financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 168-189.
    See citations under working paper version above.
  5. Gonzalo Camba-Méndez & Konrad Kostrzewa & Anna Marszal & Dobromił Serwa, 2016. "Pricing Sovereign Credit Risk of Poland: Evidence from the CDS Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(12), pages 2687-2705, December.

    Cited by:

    1. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).

  6. Camba-Mendez, Gonzalo, 2012. "Conditional forecasts on SVAR models using the Kalman filter," Economics Letters, Elsevier, vol. 115(3), pages 376-378.

    Cited by:

    1. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    2. SIMIONESCU, Mihaela, 2014. "Assessing The Forecasts Accuracy Of The Weight Of Fiscal Revenues In Gdp For Romania," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 18(3), pages 8-24.
    3. Metiu, Norbert, 2021. "Anticipation effects of protectionist U.S. trade policies," Journal of International Economics, Elsevier, vol. 133(C).
    4. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
    5. Nataliya Barasinska & Philipp Haenle & Anne Koban & Alexander Schmidt, 2023. "No Reason to Worry About German Mortgages? An Analysis of Macroeconomic and Individual Drivers of Credit Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(3), pages 369-399, December.
    6. Barasinska, Nataliya & Haenle, Philipp & Koban, Anne & Schmidt, Alexander, 2019. "Stress testing the German mortgage market," Discussion Papers 17/2019, Deutsche Bundesbank.
    7. Hülsewig, Oliver & Rottmann, Horst, 2021. "Euro area periphery countries' fiscal policy and monetary policy surprises," Weidener Diskussionspapiere 81, University of Applied Sciences Amberg-Weiden (OTH).
    8. Hristov, Nikolay & Huelsewig, Oliver & Wollmershaeuser, Timo, 2020. "Capital flows in the euro area and TARGET2 balances," Munich Reprints in Economics 84737, University of Munich, Department of Economics.
    9. Simionescu Mihaela, 2015. "Kalman Filter or VAR Models to Predict Unemployment Rate in Romania?," Naše gospodarstvo/Our economy, Sciendo, vol. 61(3), pages 3-21, June.
    10. Hristov, Nikolay & Roth, Markus, 2022. "Uncertainty shocks and systemic-risk indicators," Journal of International Money and Finance, Elsevier, vol. 122(C).
    11. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    12. Mokinski, Frieder, 2017. "A severity function approach to scenario selection," Discussion Papers 34/2017, Deutsche Bundesbank.
    13. Bertrand Gruss, 2014. "After the Boom–Commodity Prices and Economic Growth in Latin America and the Caribbean," IMF Working Papers 2014/154, International Monetary Fund.

  7. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-44, February.
    See citations under working paper version above.
  8. Gonzalo Camba-Mendez & George Kapetanios, 2009. "Statistical Tests and Estimators of the Rank of a Matrix and Their Applications in Econometric Modelling," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 581-611.
    See citations under working paper version above.
  9. Alberto Cabrero & Gonzalo Camba-Mendez & Astrid Hirsch & Fernando Nieto, 2009. "Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(3), pages 194-217.
    See citations under working paper version above.
  10. Bindseil, Ulrich & Camba-Mendez, Gonzalo & Hirsch, Astrid & Weller, Benedict, 2006. "Excess reserves and the implementation of monetary policy of the ECB," Journal of Policy Modeling, Elsevier, vol. 28(5), pages 491-510, July.
    See citations under working paper version above.
  11. George Kapetanios & Gonzalo Camba-Mendez, 2005. "Forecasting euro area inflation using dynamic factor measures of underlying inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 491-503.
    See citations under working paper version above.
  12. Gonzalo Camba‐Mendez & George Kapetanios, 2005. "Estimating the Rank of the Spectral Density Matrix," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 37-48, January.
    See citations under working paper version above.
  13. Gonzalo Camba-Mendez & Ana Lamo, 2004. "Short-term monitoring of fiscal policy discipline," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 247-265.
    See citations under working paper version above.
  14. Camba-Mendez, Gonzalo, et al, 2003. "Tests of Rank in Reduced Rank Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 145-155, January.

    Cited by:

    1. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    2. George Kapetanios, 2005. "A Testing Procedure for Determining the Number of Factors in Approximate Factor Models with Large Datasets," Working Papers 551, Queen Mary University of London, School of Economics and Finance.
    3. Gianluca Cubadda, 2007. "A Reduced Rank Regression Approach to Coincident and Leading Indexes Building," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 271-292, April.
    4. Pian Chen & Aaron Smith, 2013. "The nonlinear multidimensional relationship between stock returns and the macroeconomy," Applied Economics, Taylor & Francis Journals, vol. 45(35), pages 4985-4999, December.
    5. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    6. Majid M. Al-Sadoon, 2016. "Testing Subspace Granger Causality," Working Papers 850, Barcelona School of Economics.
    7. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    8. George Kapetanios, 2003. "Determining the Stationarity Properties of Individual Series in Panel Datasets," Working Papers 495, Queen Mary University of London, School of Economics and Finance.
    9. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2007. "Forecasting Large Datasets with Reduced Rank Multivariate Models," Working Papers 617, Queen Mary University of London, School of Economics and Finance.
    10. Luo, Ruiyan & Qi, Xin, 2017. "Signal extraction approach for sparse multivariate response regression," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 83-97.
    11. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.
    12. George Kapetanios, 2003. "Determining the Poolability of Individual Series in Panel Datasets," Working Papers 499, Queen Mary University of London, School of Economics and Finance.

  15. Camba-Mendez, Gonzalo & Rodriguez-Palenzuela, Diego, 2003. "Assessment criteria for output gap estimates," Economic Modelling, Elsevier, vol. 20(3), pages 529-562, May.
    See citations under working paper version above.
  16. Gonzalo Camba-Mendez & George Kapetanios & Richard J. Smith & Martin R. Weale, 2001. "An automatic leading indicator of economic activity: forecasting GDP growth for European countries," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-37.

    Cited by:

    1. Stefan Gerlach & Matthew S. Yiu, 2004. "A Dynamic Factor Model for Current-Quarter Estimates of Economic Activity in Hong Kong," Working Papers 162004, Hong Kong Institute for Monetary Research.
    2. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    3. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Paper Series 151, Sveriges Riksbank (Central Bank of Sweden).
    4. Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Working Papers 16-2004, Singapore Management University, School of Economics.
    5. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Amancio, Diego R., 2024. "Machine learning and economic forecasting: The role of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    6. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    7. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    8. Curran, Declan & Funke, Michael, 2006. "Taking the temperature: forecasting GDP growth for mainland in China," BOFIT Discussion Papers 6/2006, Bank of Finland Institute for Emerging Economies (BOFIT).
    9. Daniel Grenouilleau, 2004. "A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting," European Economy - Economic Papers 2008 - 2015 219, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. 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.
    11. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    12. Qin, Duo, 2007. "Uncover Latent PPP by Dynamic Factor Error Correction Model (DF-ECM) Approach: Evidence from five OECD countries," Economics Discussion Papers 2007-29, Kiel Institute for the World Economy (IfW Kiel).
    13. Oliver Hülsewig & Johannes Mayr & Stéphane Sorbe, 2007. "Assessing the Forecast Properties of the CESifo World Economic Climate Indicator: Evidence for the Euro Area," ifo Working Paper Series 46, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
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    Cited by:

    1. Fukuda, Kosei, 2005. "Unit-root detection allowing for measurement error," Statistics & Probability Letters, Elsevier, vol. 74(4), pages 373-377, October.

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