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Impulse Response Analysis in Vector Autoregressions with Unknown Lag Order

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Cited by:

  1. Borbély, Dóra & Meier, Carsten-Patrick, 2003. "Macroeconomic interval forecasting: the case of assessing the risk of deflation in Germany," Kiel Working Papers 1153, Kiel Institute for the World Economy (IfW Kiel).
  2. Berkowitz, J. & Birgean, I. & Kilian, L., 1999. "On the Finite-Sample Accuracy of Nonparametric Resampling Algorithms for Economic Time Series," Papers 99-01, Michigan - Center for Research on Economic & Social Theory.
  3. Carlos Medel, 2012. "¿Akaike o Schwarz? ¿Cuál elegir para Predecir el PIB Chileno?," Working Papers Central Bank of Chile 658, Central Bank of Chile.
  4. Marei Elbadri & Eralp Bektaş, 2022. "Dynamic relationship among the bank stability, oil, and gold prices: Evidence from the Islamic banks operating in the Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2153-2168, April.
  5. De Graeve, Ferre & Westermark, Andreas, 2013. "Un-truncating VARs," Working Paper Series 271, Sveriges Riksbank (Central Bank of Sweden).
  6. Stefan Bruder & Michael Wolf, 2018. "Balanced Bootstrap Joint Confidence Bands for Structural Impulse Response Functions," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(5), pages 641-664, September.
  7. Gutierrez, Carlos Enrique Carrasco & Souza, Reinaldo Castro & Guillén, Osmani Teixeira de Carvalho, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
  8. Franz Seitz & Julian von Landesberger, 2014. "Household Money Holdings in the Euro Area: An Explorative Investigation," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(2), pages 83-115, November.
  9. Elena Pesavento & Barbara Rossi, 2006. "Small‐sample confidence intervals for multivariate impulse response functions at long horizons," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1135-1155, December.
  10. Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2020. "Skewness-adjusted bootstrap confidence intervals and confidence bands for impulse response functions," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 5-32, March.
  11. Stefan Bruder, 2014. "Comparing several methods to compute joint prediction regions for path forecasts generated by vector autoregressions," ECON - Working Papers 181, Department of Economics - University of Zurich, revised Dec 2015.
  12. Ács, Attila, 2014. "Pénzintézeti mérlegadatok monetáris politikai újraértelmezése. A brókerkereskedő szervezetek reálgazdasági és likviditási jelentősége [Reconsidering the role of financial institutions balance sheet," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 166-192.
  13. Assenmacher-Wesche, K. & Pesaran, M.H., 2008. "A VECX* Model of the Swiss Economy," Cambridge Working Papers in Economics 0809, Faculty of Economics, University of Cambridge.
  14. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
  15. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
  16. JONATHAN McCARTHY & EGON ZAKRAJSEK, 2007. "Inventory Dynamics and Business Cycles: What Has Changed?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 591-613, March.
  17. Brüggemann, Ralf, 2006. "Finite sample properties of impulse response intervals in SVECMs with long-run identifying restrictions," SFB 649 Discussion Papers 2006-021, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  18. Anthony Garratt & Kevin Lee & M. Hashem Pesaran & Yongcheol Shin, 2003. "A Long run structural macroeconometric model of the UK," Economic Journal, Royal Economic Society, vol. 113(487), pages 412-455, April.
  19. Efstathios Polyzos & Costas Siriopoulos, 2024. "Autoregressive Random Forests: Machine Learning and Lag Selection for Financial Research," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 225-262, July.
  20. Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2017. "Testing for fundamental vector moving average representations," Quantitative Economics, Econometric Society, vol. 8(1), pages 149-180, March.
  21. Staszewska-Bystrova Anna, 2013. "Modified Scheffé’s Prediction Bands," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 680-690, October.
  22. Mark P. Taylor, 2004. "Estimating structural macroeconomic shocks through long-run recursive restrictions on vector autoregressive models: the problem of identification," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 229-244.
  23. Daniel Gründler & Eric Mayer & Johann Scharler, 2023. "Monetary Policy Announcements, Information Shocks, and Exchange Rate Dynamics," Open Economies Review, Springer, vol. 34(2), pages 341-369, April.
  24. Kilian, Lutz & Kim, Yun Jung, 2009. "Do Local Projections Solve the Bias Problem in Impulse Response Inference?," CEPR Discussion Papers 7266, C.E.P.R. Discussion Papers.
  25. Francis X. Diebold & Lutz Kilian, 2001. "Measuring predictability: theory and macroeconomic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 657-669.
  26. Ronayne, David, 2011. "Which Impulse Response Function?," The Warwick Economics Research Paper Series (TWERPS) 971, University of Warwick, Department of Economics.
  27. Zheng, Xinwei & Su, Dan, 2017. "Impacts of oil price shocks on Chinese stock market liquidity," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 136-174.
  28. repec:hum:wpaper:sfb649dp2006-021 is not listed on IDEAS
  29. Carlos A. Medel, 2015. "Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 30(1), pages 57-72, Abril.
  30. Mahdi Barakchian, S., 2015. "Transmission of US monetary policy into the Canadian economy: A structural cointegration analysis," Economic Modelling, Elsevier, vol. 46(C), pages 11-26.
  31. Kascha, Christian & Mertens, Karel, 2009. "Business cycle analysis and VARMA models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 267-282, February.
  32. Colletaz, Gilbert & Levieuge, Grégory & Popescu, Alexandra, 2018. "Monetary policy and long-run systemic risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 165-184.
  33. Kim, Jae H., 2004. "Bootstrap prediction intervals for autoregression using asymptotically mean-unbiased estimators," International Journal of Forecasting, Elsevier, vol. 20(1), pages 85-97.
  34. Javier Pereda, 2011. "Estimación de la tasa natural de interés para Perú: un enfoque financiero," Monetaria, CEMLA, vol. 0(4), pages 429-459, octubre-d.
  35. Carlos A. Medel Vera, 2011. "¿Akaike o Schwarz? ¿Cuál utilizar para predecir el PIB chileno?," Monetaria, CEMLA, vol. 0(4), pages 591-615, octubre-d.
  36. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
  37. Carlos A. Medel & Sergio C. Salgado, 2013. "Does the Bic Estimate and Forecast Better than the Aic?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 28(1), pages 47-64, April.
  38. Granville, Brigitte & Mallick, Sushanta & Zeng, Ning, 2011. "Chinese exchange rate and price effects on G3 import prices," Journal of Asian Economics, Elsevier, vol. 22(6), pages 427-440.
  39. Barhoumi Karim, 2009. "How Structural Macroeconomic Shocks Can Explain Exchange Rate Pass-Through in Developing Countries: A Common Trend Approach," Global Economy Journal, De Gruyter, vol. 9(2), pages 1-37, June.
  40. Lutz Kilian & Robert J. Vigfusson, 2017. "The Role of Oil Price Shocks in Causing U.S. Recessions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1747-1776, December.
  41. Zeno Enders & Michael Kleemann & Gernot J. Muller, 2021. "Growth Expectations, Undue Optimism, and Short-Run Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 905-921, December.
  42. Michael Pedersen, 2015. "Propagation of Shocks to Food and Energy Prices: A Cross-Country Analysis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(4), pages 272-289, August.
  43. Kerim Peren Arin & Timur Han Gur, 2009. "Exchange rate versus monetary aggregate targeting: the Turkish case," Applied Economics, Taylor & Francis Journals, vol. 41(16), pages 2085-2092.
  44. Antonio Focacci & Angelo Focacci, 2024. "A Re-Appraisal of the Role of Monetary Policy: The Quantity Theory of Money through a Structural Vector Autoregressive Approach," JRFM, MDPI, vol. 17(8), pages 1-23, August.
  45. Benner, Joachim & Meier, Carsten-Patrick, 2005. "Was leisten Stimmungsindikatoren für die Prognose des realen Bruttoinlandsprodukts in Deutschland? Eine Echtzeit-Analyse," Open Access Publications from Kiel Institute for the World Economy 3725, Kiel Institute for the World Economy (IfW Kiel).
  46. Pesaran, M.H. & Assenmacher-Wesche, K., 2007. "Assessing forecast uncertainties in a VECX* model for Switzerland: an exercise in forecast combination across models and observation windows," Cambridge Working Papers in Economics 0746, Faculty of Economics, University of Cambridge.
  47. Michael Pedersen & Miguel Ricaurte, 2013. "Efectos de Shocks al Precio del Petróleo sobre la Economía de Chile y sus Socios Comerciales," Working Papers Central Bank of Chile 691, Central Bank of Chile.
  48. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2015. "Comparison of methods for constructing joint confidence bands for impulse response functions," International Journal of Forecasting, Elsevier, vol. 31(3), pages 782-798.
  49. Mohamed Douch, 2010. "The Macroeconomic Effects of Monetary Policy and Financial Crisis," Journal of Humanities and Social Sciences, Cankaya University, Economics and Administrative Sciences, vol. 1(7), pages 1-35, May.
  50. Kilian, Lutz & Edelstein, Paul, 2007. "Retail Energy Prices and Consumer Expenditures," CEPR Discussion Papers 6255, C.E.P.R. Discussion Papers.
  51. Kamrul Hassan & Ariful Hoque & Ananth Rao, 2015. "Revisiting the Link Between Stock Prices and Goods Prices in OECD Countries," Australian Economic Papers, Wiley Blackwell, vol. 54(3), pages 135-150, September.
  52. Inoue, Atsushi & Kilian, Lutz, 2016. "Joint confidence sets for structural impulse responses," Journal of Econometrics, Elsevier, vol. 192(2), pages 421-432.
  53. repec:hum:wpaper:sfb649dp2013-031 is not listed on IDEAS
  54. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
  55. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
  56. Dovern, Jonas, 2006. "Predicting GDP components: do leading indicators increase predictability?," Kiel Advanced Studies Working Papers 436, Kiel Institute for the World Economy (IfW Kiel).
  57. Nikita Fokin & Andrey Polbin, 2019. "Forecasting Russia's Key Macroeconomic Indicators with the VAR-LASSO Model," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 67-93, June.
  58. Edelstein, Paul & Kilian, Lutz, 2009. "How sensitive are consumer expenditures to retail energy prices?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 766-779, September.
  59. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
  60. Hassan, Kamrul & Hoque, Ariful & Gasbarro, Dominic, 2017. "Sovereign default risk linkage: Implication for portfolio diversification," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 1-16.
  61. Schreiber, Sven & Soldatenkova, Natalia, 2016. "Anticipating business-cycle turning points in real time using density forecasts from a VAR," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 166-187.
  62. Fresoli, Diego & Ruiz, Esther & Pascual, Lorenzo, 2015. "Bootstrap multi-step forecasts of non-Gaussian VAR models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 834-848.
  63. N.D. Geomelos & E. Xideas, 2014. "Forecasting spot prices in bulk shipping using multivariate and univariate models," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-37, December.
  64. Carlos Enrique Carrasco Gutiérrez & Reinaldo Castro Souza & Osmani Teixeira de Carvalho Guillén, 2007. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Working Papers Series 139, Central Bank of Brazil, Research Department.
  65. Michael Pedersen & Miguel Ricaurte B., 2014. "Effects of Oil-Price Shocks on The Economies Of Chile and Its Trading Partners," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(1), pages 38-65, April.
  66. Matteo Fragetta & Giovanni Melina, 2013. "Identification of monetary policy in SVAR models: a data-oriented perspective," Empirical Economics, Springer, vol. 45(2), pages 831-844, October.
  67. Ji, Philip Inyeob & In, Francis, 2010. "The impact of the global financial crisis on the cross-currency linkage of LIBOR-OIS spreads," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 575-589, December.
  68. Kilian, Lutz & Chang, Pao-Li, 2000. "How accurate are confidence intervals for impulse responses in large VAR models?," Economics Letters, Elsevier, vol. 69(3), pages 299-307, December.
  69. Benner Joachim & Meier Carsten-Patrick, 2004. "Prognosegüte alternativer Früh Indikatoren für die Konjunktur in Deutschland / Forecasting Performance of Alternative Indicators for the German Economy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 639-652, December.
  70. Kilian, Lutz & Ivanov, Ventzislav, 2001. "A Practitioner's Guide to Lag-Order Selection for Vector Autoregressions," CEPR Discussion Papers 2685, C.E.P.R. Discussion Papers.
  71. Michael Pedersen, 2016. "Propagation of inflationary shocks in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(3), pages 004-025, December.
  72. Franz Seitz & Julian von Landesberger, 2012. "Household Money Demand: The Euro Area Case," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(III), pages 409-438, September.
  73. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2015. "Theoretical Aspects of Modeling of the SVAR [Теоретические Аспекты Моделирования Svar]," Published Papers mak8, Russian Presidential Academy of National Economy and Public Administration.
  74. Jha, Shikha & Mallick, Sushanta K. & Park, Donghyun & Quising, Pilipinas F., 2014. "Effectiveness of countercyclical fiscal policy: Evidence from developing Asia," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 82-98.
  75. Michael Pedersen, 2019. "The impact of commodity price shocks in a copper-rich economy: the case of Chile," Empirical Economics, Springer, vol. 57(4), pages 1291-1318, October.
  76. Ricci-Risquete, Alejandro & Ramajo, Julián, 2015. "The effects of fiscal policy on the Spanish economy: Keynesian or non-Keynesian behavior?," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 1019-1048.
  77. Monika Blaszkiewicz-Schwartzman, 2007. "Explaining Exchange Rate Movements in New Member States of the European Union: Nominal and Real Convergence," Money Macro and Finance (MMF) Research Group Conference 2006 144, Money Macro and Finance Research Group.
  78. Daniel Fernández, 2011. "Suficiencia del capital y previsiones de la banca uruguaya por su exposición al sector industrial," Monetaria, CEMLA, vol. 0(4), pages 517-589, octubre-d.
  79. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
  80. Staszewska-Bystrova, Anna & Winker, Peter, 2013. "Constructing narrowest pathwise bootstrap prediction bands using threshold accepting," International Journal of Forecasting, Elsevier, vol. 29(2), pages 221-233.
  81. Trautman, Dawn & Jeffrey, Scott R. & Unterschultz, James R., 2012. "Beneficial Management Practice (BMP) Adoption -- Direct Farm Cost/Benefit Tradeoffs," Project Report Series 139638, University of Alberta, Department of Resource Economics and Environmental Sociology.
  82. Tamara Burdisso & Eduardo Ariel Corso, 2011. "Incertidumbre y dolarización de cartera: el caso argentino en el último medio siglo," Monetaria, CEMLA, vol. 0(4), pages 461-515, octubre-d.
  83. Benner, Joachim & Meier, Carsten-Patrick, 2003. "Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland," Kiel Working Papers 1139, Kiel Institute for the World Economy (IfW Kiel).
  84. Linderoth, Gabriella & Meuller, Malte, 2024. "Inflation-Dependent Exchange Rate Pass-Through in Sweden: Insights from a Logistic Smooth Transition VAR Model," Working Paper Series 439, Sveriges Riksbank (Central Bank of Sweden).
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