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Citations

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Cited by:

  1. Pablo Burriel & Francisco de Castro & Daniel Garrote & Esther Gordo & Joan Paredes & Javier J. Pérez, 2010. "Fiscal Policy Shocks in the Euro Area and the US: An Empirical Assessment," Fiscal Studies, Institute for Fiscal Studies, vol. 31(2), pages 251-285, June.
  2. Maravall, Agustin, 2006. "An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2167-2190, May.
  3. Claude Diebolt & Magali Jaoul-Grammare, 2018. "Mesure du temps et temps de la mesure. Cliométrie des prix de gros en Allemagne avant la Première Guerre mondiale," Working Papers of BETA 2018-44, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  4. Fok, D. & Franses, Ph.H.B.F. & Paap, R., 2005. "Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results," Econometric Institute Research Papers EI 2005-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  5. Alonso, Andres M. & Sipols, Ana E., 2008. "A time series bootstrap procedure for interpolation intervals," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1792-1805, January.
  6. Carlos Capistrán & Daniel Chiquiar & Juan R. Hernández, 2019. "Identifying Dornbusch's Exchange Rate Overshooting with Structural VECs: Evidence from Mexico," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 207-254, December.
  7. Guerrero, Víctor & Islas C., Alejandro & Poncela, Pilar & Rodríguez, Julio & Sánchez-Mangas, Rocío, 2014. "Mexico: Combining monthly inflation predictions from surveys," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
  8. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
  9. repec:cpn:umkeip:2012:v3:p:153-167 is not listed on IDEAS
  10. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
  11. Aslihan Atabek Demirhan, 2010. "Ramazan Ayinin Uretim Uzerindeki Etkisi," CBT Research Notes in Economics 1014, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  12. Paulo Chávez & Gabriel Rodríguez, 2023. "Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 505-544, May.
  13. Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004. "Characterising the Business Cycle for Accession Countries," Working Papers 261, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  14. Pavel Vidal Alejandro & Lya Paola Sierra Suárez & Johana Sanabria Dominguez & Jaime Andres Collazos Rodríguez, 2015. "Indicador mensual de actividad económica (IMAE) para el Valle del Cauca," Borradores de Economia 13610, Banco de la Republica.
  15. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
  16. Darne, O. & Levy-Rueff, O. & Pop, A., 2013. "Calibrating Initial Shocks in Bank Stress Test Scenarios: An Outlier Detection Based Approach," Working papers 426, Banque de France.
  17. Kaiser, Regina & Maravall, Agustin, 2005. "Combining filter design with model-based filtering (with an application to business-cycle estimation)," International Journal of Forecasting, Elsevier, vol. 21(4), pages 691-710.
  18. Carlos A. Medel, 2018. "A Comparison Between Direct and Indirect Seasonal Adjustment of the Chilean GDP 1986–2009 with X-12-ARIMA," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 47-87, April.
  19. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
  20. Hassan Belkacem Ghassan & Hassan Rafdan Al-Hajhoj & Faruk Balli, 2019. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Economy," Working Papers hal-01742574, HAL.
  21. Enache Cosmin, 2013. "Adverse Incentive Effects of the Unemployment Benefit Level in Romania," Scientific Annals of Economics and Business, Sciendo, vol. 60(1), pages 54-66, July.
  22. Szász, Levente & Bálint, Csaba & Csíki, Ottó & Nagy, Bálint Zsolt & Rácz, Béla-Gergely & Csala, Dénes & Harris, Lloyd C., 2022. "The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
  23. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.
  24. Ball, V. Eldon & Ulloa, Camilo A., 2011. "Agricultural productivity in the United States: catching-up and the business cycle," UC3M Working papers. Economics we1116, Universidad Carlos III de Madrid. Departamento de Economía.
  25. Cesar Carrera & Alan Ledesma, 2015. "Aggregate Inflation Forecast with Bayesian Vector Autoregressive Models," Working Papers 50, Peruvian Economic Association.
  26. Andrawis, Robert R. & Atiya, Amir F. & El-Shishiny, Hisham, 2011. "Forecast combinations of computational intelligence and linear models for the NN5 time series forecasting competition," International Journal of Forecasting, Elsevier, vol. 27(3), pages 672-688, July.
  27. Onorante, Luca & Pedregal, Diego J. & Pérez, Javier J. & Signorini, Sara, 2010. "The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 98-119, January.
  28. Victor Gomez & Jorg Breitung, 1999. "The Beveridge–Nelson Decomposition: A Different Perspective with New Results," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(5), pages 527-535, September.
  29. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
  30. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
  31. Eliana González & Luis F. Melo & Luis E. Rojas & Brayan Rojas, 2011. "Estimations of the Natural Rate of Interest in Colombia," Money Affairs, CEMLA, vol. 0(1), pages 33-75, January-J.
  32. Sandra Bilek-Steindl & Thomas Url, 2022. "Nowcasting and monitoring SDG 8," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 313-345, May.
  33. Maravall, Agustín, 1999. "Short-term and long-term trends, seasonal and the business cycle," DES - Working Papers. Statistics and Econometrics. WS 6291, Universidad Carlos III de Madrid. Departamento de Estadística.
  34. Olivier Darné & Amélie Charles, 2011. "Large shocks in U.S. macroeconomic time series: 1860-1988," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 5(1), pages 79-100, January.
  35. Daniel Dzikowski & Carsten Jentsch, 2024. "Structural Periodic Vector Autoregressions," Papers 2401.14545, arXiv.org.
  36. Ambühl, Lukas & Loder, Allister & Bliemer, Michiel C.J. & Menendez, Monica & Axhausen, Kay W., 2020. "A functional form with a physical meaning for the macroscopic fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 119-132.
  37. Pablo Galaso & Sandra Rodriguez, 2014. "A composite leading cycle indicator for Uruguay," Documentos de Trabajo (working papers) 14-09, Instituto de Economía - IECON.
  38. Proietti, Tommaso & Riani, Marco, 2007. "Transformations and Seasonal Adjustment: Analytic Solutions and Case Studies," MPRA Paper 7862, University Library of Munich, Germany.
  39. Marcus Scheiblecker, 2003. "Der Arbeitstagseffekt im vierteljährlichen Bruttoinlandsprodukt. Eine empirische Analyse anhand saisonaler Zeitreihenmodelle," WIFO Monatsberichte (monthly reports), WIFO, vol. 76(11), pages 829-839, November.
  40. Claude DIEBOLT & Magali JAOUL-GRAMMARE, 2014. "Économétrie historique des salaires en France: une relecture des années charnières," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 49, pages 1293-1308, Août.
  41. Edoardo Otrano & Umberto Triacca, 2007. "Testing for Equal Predictability of Stationary ARMA Processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(9), pages 1091-1108.
  42. Olivier Darne & Laetitia Ripoll-Bresson, 2004. "Exchange rate regime classification and real performances: new empirical evidence," Money Macro and Finance (MMF) Research Group Conference 2003 21, Money Macro and Finance Research Group.
  43. Pedro M.D.C.B. Gouveia & Denise R. Osborn & Paulo M.M. Rodrigues, 2008. "Comparing Seasonal Forecasts of Industrial Production," Centre for Growth and Business Cycle Research Discussion Paper Series 102, Economics, The University of Manchester.
  44. Artis, Michael & Nachane, Dilip M & Hoffmann, Mathias & Clavel, Jose Garcia, 2007. "Analyzing Strongly Periodic Series in the Frequency Domain: A Comparison of Alternative Approaches with Applications," CEPR Discussion Papers 6517, C.E.P.R. Discussion Papers.
  45. Proietti, Tommaso, 2005. "New algorithms for dating the business cycle," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 477-498, April.
  46. V. Ball & Carlos San-Juan-Mesonada & Camilo Ulloa, 2014. "State productivity growth in agriculture: catching-up and the business cycle," Journal of Productivity Analysis, Springer, vol. 42(3), pages 327-338, December.
  47. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
  48. Erdenebat Bataa & Denise R. Osborn & Marianne Sensier & Dick van Dijk, 2014. "Identifying Changes in Mean, Seasonality, Persistence and Volatility for G7 and Euro Area Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 360-388, June.
  49. Bógalo, Juan & Llada, Martín & Poncela, Pilar & Senra, Eva, 2022. "Seasonality in COVID-19 times," Economics Letters, Elsevier, vol. 211(C).
  50. Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
  51. Ortiz-Villajos, José M., 2024. "Dynamics of innovation over time: Evidence from the Spanish business elite," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 378-394.
  52. Aaron Levi Garavito-Acosta & Maria Mercedes Collazos-Gaitan & Manuel Dario Hernandez-Bejarano & Enrique Montes-Uribe, 2019. "Migración internacional y determinantes de las remesas de trabajadores en Colombia," Borradores de Economia 1066, Banco de la Republica de Colombia.
  53. Alonso, A.M. & Berrendero, J.R. & Hernandez, A. & Justel, A., 2006. "Time series clustering based on forecast densities," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 762-776, November.
  54. Pascual, Lorenzo & Romo, Juan & Ruiz, Esther, 2001. "Effects of parameter estimation on prediction densities: a bootstrap approach," International Journal of Forecasting, Elsevier, vol. 17(1), pages 83-103.
  55. Olivier Darne & Jean-Francois Hoarau, 2007. "The purchasing power parity in Australia: evidence from unit root test with structural break," Applied Economics Letters, Taylor & Francis Journals, vol. 15(3), pages 203-206.
  56. Phinikarides, Alexander & Makrides, George & Zinsser, Bastian & Schubert, Markus & Georghiou, George E., 2015. "Analysis of photovoltaic system performance time series: Seasonality and performance loss," Renewable Energy, Elsevier, vol. 77(C), pages 51-63.
  57. Carlomagno, Guillermo, 2014. "The pairwise approach to model a large set of disaggregates with common trends," DES - Working Papers. Statistics and Econometrics. WS ws141309, Universidad Carlos III de Madrid. Departamento de Estadística.
  58. Maravall, Agustín, 2000. "An application of tramo-seats: changes in seasonality and current trend-cycle assesment: the german retail trade turnover series," DES - Working Papers. Statistics and Econometrics. WS 10010, Universidad Carlos III de Madrid. Departamento de Estadística.
  59. 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.
  60. Claude Diebolt & Karine Pellier, 2018. "Patents in the Long Run: Theory, History and Statistics," Working Papers 03-18, Association Française de Cliométrie (AFC).
  61. Capistrán Carlos & Constandse Christian & Ramos Francia Manuel, 2009. "Using Seasonal Models to Forecast Short-Run Inflation in Mexico," Working Papers 2009-05, Banco de México.
  62. Pino, Gabriel, 2013. "Forecasting disaggregates by sectors and regions : the case of inflation in the euro area and Spain," DES - Working Papers. Statistics and Econometrics. WS ws130807, Universidad Carlos III de Madrid. Departamento de Estadística.
  63. Brunhart, Andreas, 2019. "Der neue Konjunkturindex "KonSens": Ein gleichlaufender, vierteljährlicher Sammelindikator für Liechtenstein," EconStor Preprints 225261, ZBW - Leibniz Information Centre for Economics.
  64. Nucci, Francesco & Pozzolo, Alberto F., 2001. "Investment and the exchange rate: An analysis with firm-level panel data," European Economic Review, Elsevier, vol. 45(2), pages 259-283, February.
  65. Maravall, Agustín, 2000. "Notes on time serie analysis, ARIMA models and signal extraction," DES - Working Papers. Statistics and Econometrics. WS 10058, Universidad Carlos III de Madrid. Departamento de Estadística.
  66. Olivier Darné & Jean-François Hoarau, 2006. "Testing the purchasing power parity in China," EconomiX Working Papers 2006-18, University of Paris Nanterre, EconomiX.
  67. Thornton, Michael A., 2013. "Removing seasonality under a changing regime: Filtering new car sales," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 4-14.
  68. Hassan B. Ghassan & Hassan R. Al-Hajhoj & Faruk Balli, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling," Papers 1803.11161, arXiv.org, revised Mar 2019.
  69. Ard H.J. den Reijer, 2005. "Forecasting Dutch GDP using Large Scale Factor Models," DNB Working Papers 028, Netherlands Central Bank, Research Department.
  70. Piotr Fiszeder & Sebastian Rowinski, 2012. "Modeling relations between selected macroeconomic processes and the Warsaw Stock Exchange index," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 10(3), pages 153-167, September.
  71. Marcos Bujosa & Antonio García Ferrer & Peter Young, 2002. "An ARMA Representation of Unobserved Component Models under Generalized Random Walk Specifications: New Algorithms and Examples," Documentos de Trabajo del ICAE 0204, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  72. Fonteny, E., 2006. "La désaisonnalisation des séries d’agrégats monétaires et de crédit à la Banque de France : aspects théoriques et mise en oeuvre," Working papers 147, Banque de France.
  73. Kirchner, Robert, 1999. "Auswirkungen des neuen Saisonbereinigungsverfahrens Census X-12-ARIMA auf die aktuelle Wirtschaftsanalyse in Deutschland," Discussion Paper Series 1: Economic Studies 1999,07, Deutsche Bundesbank.
  74. Perez, Javier J., 2007. "Leading indicators for euro area government deficits," International Journal of Forecasting, Elsevier, vol. 23(2), pages 259-275.
  75. Sergey M. Ivashchenko, 2019. "DSGE Models: Problem of Trends," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 81-95, April.
  76. Olivier Darné & Amélie Charles, 2008. "The impact of outliers on transitory and permanent components in macroeconomic time series," Economics Bulletin, AccessEcon, vol. 3(60), pages 1-9.
  77. Jürgen Bierbaumer-Polly & Sandra Bilek-Steindl & Thomas Url, 2019. "Monitoring and Nowcasting Sustainable Development Goals. A Case Study for Austria," WIFO Studies, WIFO, number 66635, April.
  78. Lya Paola Sierra & Luis Eduardo Gir n & Carolina Osorio, 2017. "Has Financialization in Commodity Markets Affected the Predictability in Metal Markets? The Efficient Markets Hypotheses for Metal Returns," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 15-22.
  79. Maravall, Agustín, 1999. "Seasonal outliers in time series," DES - Working Papers. Statistics and Econometrics. WS 6333, Universidad Carlos III de Madrid. Departamento de Estadística.
  80. Carrera, Cesar & Ledesma, Alan, 2015. "Proyección de la inflación agregada con modelos de vectores autorregresivos bayesianos," Working Papers 2015-003, Banco Central de Reserva del Perú.
  81. repec:ebl:ecbull:v:3:y:2008:i:60:p:1-9 is not listed on IDEAS
  82. Bell William.R., 2017. "Unit Root Properties of Seasonal Adjustment and Related Filters: Special Cases," Journal of Official Statistics, Sciendo, vol. 33(1), pages 1-14, March.
  83. Vilar, J.A. & Alonso, A.M. & Vilar, J.M., 2010. "Non-linear time series clustering based on non-parametric forecast densities," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2850-2865, November.
  84. Horváth, Áron & Sápi, Zoltán & Révész, Gábor, 2016. "Irodapiaci ciklusok jellemzése a hozam, a bérleti forgalom, az üresedés, a bérleti díjak és az új átadás alapján [Yields, take-up, vacancy, rents and new supply during office-market cycles]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 113-136.
  85. Claude Diebolt & Karine Pellier, 2010. "La dynamique structurelle et spatiale des systèmes de brevets. Une comparaison France, Allemagne, Royaume-Uni, Etats-Unis et Japon : 1617-2006," Working Papers 10-05, Association Française de Cliométrie (AFC).
  86. Rainer Metz, 2011. "Do Kondratieff waves exist? How time series techniques can help to solve the problem," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 5(3), pages 205-238, October.
  87. Alexandros E. Milionis & Nikolaos G. Galanopoulos, 2020. "A study of the effect of data transformation and «linearization» on time series forecasts. A practical approach," Working Papers 280, Bank of Greece.
  88. Deicy J. Cristiano-Botia & Manuel Dario Hernandez-Bejarano & Mario A. Ramos-Veloza, 2021. "Labor Market Indicator for Colombia (LMI)," Borradores de Economia 1152, Banco de la Republica de Colombia.
  89. Ghassan, Hassan & Alhajhoj, Hassan R. & Balli, Faruk, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Arabia," MPRA Paper 93013, University Library of Munich, Germany, revised 01 Feb 2019.
  90. Escario, Regina & Gadea, María Dolores & Sabaté, Marcela, 2012. "Multicointegration, seigniorage and fiscal sustainability. Spain 1857–2000," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 270-283.
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