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Troy D. Matheson

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Troy D. Matheson, 2014. "New indicators for tracking growth in real time," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 51-71.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting
  2. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528, April.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Economic Methodology > Dynamic Stochastic General Equilibrium > Estimated DSGE Models > Forecasting with DSGE Models
  3. Matheson, Troy D., 2012. "Financial conditions indexes for the United States and euro area," Economics Letters, Elsevier, vol. 115(3), pages 441-446.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models

Working papers

  1. Mary E. Burfisher & Frederic Lambert & Mr. Troy D Matheson, 2019. "NAFTA to USMCA: What is Gained?," IMF Working Papers 2019/073, International Monetary Fund.

    Cited by:

    1. Christoph Scherrer & Emilie Segura, 2019. "Trumps neues Handelsabkommen mit Mexiko: Besserer Schutz für Arbeiter*innen?," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 195, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    2. Hosoe, Nobuhiro, 2022. "Economic de-integration in North America and foreign direct investment from Japan," Japan and the World Economy, Elsevier, vol. 61(C).
    3. Yan, Meng & Chen, Jian & Song, Victor & Xu, Ke, 2022. "Trade friction and price discovery in the USD–CAD spot and forward markets," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    4. Jon Johnson, 2019. "Bumper to Bumper: Will the CUSMA Rules of Origin Make America’s Auto Industry Great Again?," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 547, July.
    5. Ciuriak, Dan & Dadkhah, Ali & Xiao, Charles, 2019. "Quantifying the USMCA," Conference papers 333073, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Raul Arango Miranda & Robert Hausler & Rabindranarth Romero Lopez & Mathias Glaus & Jose Ramon Pasillas-Diaz, 2020. "Testing the Environmental Kuznets Curve Hypothesis in North America’s Free Trade Agreement (NAFTA) Countries," Energies, MDPI, vol. 13(12), pages 1-13, June.
    7. Uner, Firat & OĞULTÜRK, Assoc. Prof. Dr.M. Cem, 2024. "Nafta: More Than A Regıonal Trade Agreement," MPRA Paper 120039, University Library of Munich, Germany, revised 19 Jan 2024.
    8. Gabriel Mhonyera & Daniel Francois Meyer, 2023. "The Impact of AfCFTA on Welfare and Trade: Nigeria and South Africa in Light of Core Export Competences," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

  2. Mr. Ivo Krznar & Mr. Troy D Matheson, 2017. "Financial and Business Cycles in Brazil," IMF Working Papers 2017/012, International Monetary Fund.

    Cited by:

    1. Chikako Baba & Mr. Salvatore Dell'Erba & Ms. Enrica Detragiache & Olamide Harrison & Ms. Aiko Mineshima & Anvar Musayev & Asghar Shahmoradi, 2020. "How Should Credit Gaps Be Measured? An Application to European Countries," IMF Working Papers 2020/006, International Monetary Fund.
    2. Kurowski, Łukasz & Rogowicz, Karol, 2018. "Are business and credit cycles synchronised internally or externally?," Economic Modelling, Elsevier, vol. 74(C), pages 124-141.
    3. Costas Karfakis & Eftychia Karfaki, 2018. "Is the financial cycle a leading indicator of real output during expansions and contractions? A quantile analysis for Greece," Discussion Paper Series 2018_02, Department of Economics, University of Macedonia, revised Feb 2018.

  3. Mr. Ivo Krznar & Mr. Troy D Matheson, 2017. "Towards Macroprudential Stress Testing: Incorporating Macro-Feedback Effects," IMF Working Papers 2017/149, International Monetary Fund.

    Cited by:

    1. Jondeau, Eric & Sahuc, Jean-Guillaume, 2022. "Bank capital shortfall in the euro area," Journal of Financial Stability, Elsevier, vol. 62(C).
    2. Catalán, Mario & Hoffmaister, Alexander W., 2022. "When banks punch back: Macrofinancial feedback loops in stress tests," Journal of International Money and Finance, Elsevier, vol. 124(C).
    3. Grzegorz Halaj & Sofia Priazhkina, 2021. "Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions," Staff Working Papers 21-35, Bank of Canada.
    4. Budnik, Katarzyna & Balatti, Mirco & Dimitrov, Ivan & Groß, Johannes & Kleemann, Michael & Reichenbachas, Tomas & Sanna, Francesco & Sarychev, Andrei & Siņenko, Nadežda & Volk, Matjaz, 2020. "Banking euro area stress test model," Working Paper Series 2469, European Central Bank.
    5. Morell, Joe & Rice, Jonathan & Shaw, Frances, 2022. "A Framework for Macroprudential Stress Testing," Research Technical Papers 7/RT/22, Central Bank of Ireland.
    6. Aikman, David & Beale, Daniel & Brinley-Codd, Adam & Covi, Giovanni & Hüser, Anne‑Caroline & Lepore, Caterina, 2023. "Macroprudential stress‑test models: a survey," Bank of England working papers 1037, Bank of England.
    7. Chafik, Omar & Mikou, Mohammed & Slaoui, Yassine & Motl, Tomas, 2022. "A DSGE model for macroprudential policy in Morocco," Document de travail 2022-3, Bank Al-Maghrib, Département de la Recherche.

  4. Mr. Troy D Matheson & Ms. Joana Pereira, 2016. "Fiscal Multipliers for Brazil," IMF Working Papers 2016/079, International Monetary Fund.

    Cited by:

    1. Şen, Hüseyin & Kaya, Ayşe, 2017. "How large are fiscal multipliers in Turkey?," EconStor Preprints 162763, ZBW - Leibniz Information Centre for Economics.
    2. Holland, Marcio & Marçal, Emerson & de Prince, Diogo, 2020. "Is fiscal policy effective in Brazil? An empirical analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 40-52.
    3. Marina Sanches & Laura Carvalho, 2022. "Multiplier effects of social protection: a SVAR approach for Brazil," Working Papers, Department of Economics 2022_17, University of São Paulo (FEA-USP).
    4. Baumann, Ursel & Lodge, David & Miescu, Mirela S., 2019. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," Working Paper Series 2248, European Central Bank.
    5. Eduardo de Sá Fortes Leitão Rodrigues, 2020. "Uncertainty And The Effectiveness Of Fiscal Policy In The United States And Brazil: Svar Approach," Working Papers REM 2020/0150, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    6. International Monetary Fund, 2018. "Uruguay: Selected Issues," IMF Staff Country Reports 2018/024, International Monetary Fund.
    7. António Afonso & Sérgio Gadelha & Agatha Silva, 2020. "Public Debt And Economic Growth In Brazil," Working Papers REM 2020/0148, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    8. Ursel Baumann & David Lodge & Mirela S. Miescu, 2024. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 76-90, January.
    9. Iyanatul Islam, 2018. "Fiscal Consolidation, Growth and Employment: International Evidence and Implications for India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(1), pages 105-130, March.
    10. Mr. Yan Carriere-Swallow & Mr. Antonio David & Mr. Daniel Leigh, 2018. "The Macroeconomic Effects of Fiscal Consolidation in Emerging Economies: Evidence from Latin America," IMF Working Papers 2018/142, International Monetary Fund.

  5. Ms. Valerie Cerra & Mr. Alfredo Cuevas & Carlos Góes & Ms. Izabela Karpowicz & Mr. Troy D Matheson & Issouf Samaké & Svetlana Vtyurina, 2016. "Highways to Heaven: Infrastructure Determinants and Trends in Latin America and the Caribbean," IMF Working Papers 2016/185, International Monetary Fund.

    Cited by:

    1. M. Ayhan Kose & Franziska Ohnsorge & Lei Sandy Ye & Ergys Islamaj, 2017. "Weakness in Investment Growth: Causes, Implications and Policy Responses," Koç University-TUSIAD Economic Research Forum Working Papers 1707, Koc University-TUSIAD Economic Research Forum.
    2. International Monetary Fund, 2017. "Cluster Report: Trade Integration in Latin America and the Caribbean," IMF Staff Country Reports 2017/066, International Monetary Fund.
    3. Pessino, Carola & Izquierdo, Alejandro & Vuletin, Guillermo, 2018. "Better Spending for Better Lives: How Latin America and the Caribbean Can Do More with Less," IDB Publications (Books), Inter-American Development Bank, number 9152.
    4. International Monetary Fund, 2017. "Panama: Selected Issues," IMF Staff Country Reports 2017/106, International Monetary Fund.
    5. Ms. Kimberly Beaton & Metodij Hadzi-Vaskov, 2017. "Panama’s Growth Prospects: Determinants and Sectoral Perspectives," IMF Working Papers 2017/150, International Monetary Fund.
    6. Valerie Cerra & Alfredo Cuevas & Carlos Goes & Izabela Karpowicz & Troy Matheson & Issouf Samake & Svetlana Vtyurina, 2017. "Determinants of Infrastructure and Its Financing," Emerging Economy Studies, International Management Institute, vol. 3(2), pages 113-126, November.

  6. Carlos Góes & Mr. Troy D Matheson, 2015. "Domestic Market Integration and the Law of One Price in Brazil," IMF Working Papers 2015/213, International Monetary Fund.

    Cited by:

    1. Nadiia Pysar & Victoria Dergacheva, 2018. "Determination of Parity Price for Gas and Electricity in Terms of Estimation of Household Incomes and Energy Costs," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 342-346.
    2. Domingo Rodríguez Benavides & Abigail Rodríguez Nava, 2019. "Convergencia de los precios locales en México: un enfoque de pruebas entre pares/Convergence of local prices in Mexico: A pairwise approach," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 34(2), pages 309-332.
    3. Muhammad Hanif & Ariba Sabah, 2020. "Stock Markets’ Integration in Post Financial Crisis Era: Evidence from Literature," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 43-71.
    4. Ms. Mercedes Garcia-Escribano & Carlos Góes & Ms. Izabela Karpowicz, 2015. "Filling the Gap: Infrastructure Investment in Brazil," IMF Working Papers 2015/180, International Monetary Fund.
    5. Sami Khedhiri, 2023. "The impact of COVID‐19 on agricultural market integration in Eastern Canada," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 371-386, April.
    6. Saileshsingh Gunessee & Cheng Zhang, 2022. "The economics of domestic market integration," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1069-1095, September.

  7. Mr. Troy D Matheson, 2015. "Normalization of Global Financial Conditions: The Implications for Brazil," IMF Working Papers 2015/194, International Monetary Fund.

    Cited by:

    1. Rodrigo Alfaro Alfaro & Carlos A. Medel & Carola Moreno, 2017. "An Analysis of the Impact of External Financial Risks on the Sovereign Risk Premium of Latin American Economies," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 32(2), pages 131-153, October.
    2. Kpughur Moses Tule & Osana Jackson Odonye & Udoma Johnson Afangideh & Godday Uwawunkonye Ebuh & Elijah Abasifreke Paul Udoh & Augustine Ujunwa, 2019. "Assessing the spillover effects of U.S. monetary policy normalization on Nigeria sovereign bond yield," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-16, December.
    3. Carlos Góes & Herman Kamil & Phil De Imus & Ms. Mercedes Garcia-Escribano & Mr. Roberto Perrelli & Mr. Shaun K. Roache & Jeremy Zook, 2017. "Spillovers from U.S. Monetary Policy Normalization on Brazil and Mexico’s Sovereign Bond Yields," IMF Working Papers 2017/050, International Monetary Fund.

  8. Mr. Troy D Matheson & Mr. Emil Stavrev, 2014. "News and Monetary Shocks at a High Frequency: A Simple Approach," IMF Working Papers 2014/167, International Monetary Fund.

    Cited by:

    1. Gustavo Adler & Ms. Carolina Osorio-Buitron, 2017. "Tipping the Scale? The Workings of Monetary Policy through Trade," IMF Working Papers 2017/142, International Monetary Fund.
    2. Mr. Eugenio M Cerutti & Ms. Carolina Osorio-Buitron, 2019. "US vs. Euro Area: Who Drives Cross-Border Bank Lending to EMs?," IMF Working Papers 2019/199, International Monetary Fund.
    3. Frohm, Erik, 2023. "Dominant currencies and the export supply channel," International Economics, Elsevier, vol. 173(C), pages 1-18.
    4. Tillmann, Peter & Meinusch, Annette, 2015. "Quantitative Easing and Tapering Uncertainty: Evidence from Twitter," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112906, Verein für Socialpolitik / German Economic Association.
    5. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Transmission of US and EU Economic Policy Uncertainty Shock to Asian Economies in Bad and Good Times," IZA Discussion Papers 13274, Institute of Labor Economics (IZA).
    6. Lodge, David & Manu, Ana-Simona, 2022. "EME financial conditions: Which global shocks matter?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    7. CĂLIN, Adrian Cantemir, 2015. "The Effects Of The Federal Reserve’S Tapering Announcements On The Us Real Estate Market," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(3), pages 79-90.
    8. Gustavo Adler & Carolina Osorio Buitron, 2019. "Policy mix and the U.S. trade balance," International Finance, Wiley Blackwell, vol. 22(2), pages 138-154, August.
    9. Carlos Caceres & Mr. Yan Carriere-Swallow & Ishak Demir & Bertrand Gruss, 2016. "U.S. Monetary Policy Normalization and Global Interest Rates," IMF Working Papers 2016/195, International Monetary Fund.
    10. Yang-Chao Wang & Jui-Jung Tsai & Lanxin Lu, 2019. "The impact of Chinese monetary policy on co-movements between money and capital markets," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4939-4955, September.
    11. Gustavo Adler & Marie-Louise Djigbenou & Sebastian Sosa, 2016. "Global Financial Shocks and Foreign Asset Repatriation: Do Local Investors Play a Stabilizing Role?," Post-Print hal-03954341, HAL.
    12. Daniel J. Lewis, 2019. "Announcement-Specific Decompositions of Unconventional Monetary Policy Shocks and Their Macroeconomic Effects," Staff Reports 891, Federal Reserve Bank of New York.
    13. Ms. Carolina Osorio-Buitron & Mr. Esteban Vesperoni, 2015. "Big Players Out of Synch: Spillovers Implications of US and Euro Area Shocks," IMF Working Papers 2015/215, International Monetary Fund.
    14. Dr. Christian Grisse, 2020. "The effect of monetary policy on the Swiss franc: an SVAR approach," Working Papers 2020-02, Swiss National Bank.
    15. Marco Bottone & Alfonso Rosolia, 2019. "Monetary policy, firms’ inflation expectations and prices: causal evidence from firm-level data," Temi di discussione (Economic working papers) 1218, Bank of Italy, Economic Research and International Relations Area.
    16. Cieslak, Anna & Pang, Hao, 2020. "Common shocks in stocks and bonds," CEPR Discussion Papers 14708, C.E.P.R. Discussion Papers.
    17. Lucian Liviu ALBU & Radu LUPU & Adrian Cantemir CĂLIN, 2016. "Quantitative Easing, Tapering And Stock Market Indices," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 5-23.
    18. Anna Cieslak & Andreas Schrimpf, 2018. "Non-Monetary News in Central Bank Communication," NBER Working Papers 25032, National Bureau of Economic Research, Inc.
    19. Arbatli-Saxegaard, Elif & Furceri, Davide & Gonzalez Dominguez, Pablo & Ostry, Jonathan & Peiris, Shanaka, 2022. "Spillovers from US Monetary Shocks: Role of Policy Drivers and Cyclical Conditions," ADBI Working Papers 1317, Asian Development Bank Institute.
    20. Mr. Troy D Matheson, 2015. "Normalization of Global Financial Conditions: The Implications for Brazil," IMF Working Papers 2015/194, International Monetary Fund.
    21. Eric Tong, 2018. "US Monetary Policy, Global Risk Aversion, and New Zealand Funding Conditions," Treasury Working Paper Series 18/04, New Zealand Treasury.
    22. Brandt, Lennart & Saint Guilhem, Arthur & Schröder, Maximilian & Van Robays, Ine, 2021. "What drives euro area financial market developments? The role of US spillovers and global risk," Working Paper Series 2560, European Central Bank.
    23. Cieslak, Anna & Pang, Hao, 2021. "Common shocks in stocks and bonds," Journal of Financial Economics, Elsevier, vol. 142(2), pages 880-904.
    24. Nicolas Eterovic & Dalibor Eterovic, 2022. "Stocks, Bonds and the US Dollar - Measuring Domestic and International Market Developments in an Emerging Market," Working Papers Central Bank of Chile 964, Central Bank of Chile.
    25. Motto, Roberto & Özen, Kadir, 2022. "Market-stabilization QE," Working Paper Series 2640, European Central Bank.
    26. Lodge, David & Manu, Ana-Simona & Van Robays, Ine, 2023. "China’s footprint in global financial markets," Working Paper Series 2861, European Central Bank.

  9. Mr. Troy D Matheson, 2013. "The Global Financial Crisis: An Anatomy of Global Growth," IMF Working Papers 2013/076, International Monetary Fund.

    Cited by:

    1. Alessandra Canepa & Fawaz Khaled, 2018. "Housing, Housing Finance and Credit Risk," IJFS, MDPI, vol. 6(2), pages 1-23, May.
    2. Michal Andrle & Mr. Roberto Garcia-Saltos & Giang Ho, 2014. "A Model-Based Analysis of Spillovers: The Case of Poland and the Euro Area," IMF Working Papers 2014/186, International Monetary Fund.
    3. Juan Shan & Miqdad Ali Khan, 2016. "Implications of Reverse Innovation for Socio-Economic Sustainability: A Case Study of Philips China," Sustainability, MDPI, vol. 8(6), pages 1-20, June.
    4. Nicholas Belesis & John Sorros & Alkiviadis Karagiorgos, 2020. "Financial Market Data Versus Accounting Data: Which Better Explains Stock Returns?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(1), pages 59-72, February.

  10. Mr. Troy D Matheson & Mr. Emil Stavrev, 2013. "The Great Recession and the Inflation Puzzle," IMF Working Papers 2013/124, International Monetary Fund.

    Cited by:

    1. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Galstyan, Vahagn, 2021. "Expectations, Unemployment and Inflation: an Empirical Investigation," Research Technical Papers 5/RT/21, Central Bank of Ireland.
    3. Kabundi, Alain & Poon, Aubrey & Wu, Ping, 2023. "A time-varying Phillips curve with global factors: Are global factors important?," Economic Modelling, Elsevier, vol. 126(C).
    4. Yu-Fan Huang & Sui Luo, 2018. "Potential output and inflation dynamics after the Great Recession," Empirical Economics, Springer, vol. 55(2), pages 495-517, September.
    5. Olivier Blanchard & Eugenio Cerutti & Lawrence H. Summers, 2015. "Inflation and Activity: Two Explorations and Their Monetary Policy Implications," Working Paper Series WP15-19, Peterson Institute for International Economics.
    6. Kabundi, Alain & Mlachila, Montfort, 2019. "The role of monetary policy credibility in explaining the decline in exchange rate pass-through in South Africa," Economic Modelling, Elsevier, vol. 79(C), pages 173-185.
    7. Sophie Guilloux-Nefussi, 2016. "Globalization, market structure and inflation dynamics," Globalization Institute Working Papers 289, Federal Reserve Bank of Dallas.
    8. Marente Vlekke & Martin Mellens & Siem Jan Koopmans, 2020. "An assessment of the Phillips curve over time: evidence for the United States and the euro area," CPB Discussion Paper 416, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Thórarinn G. Pétursson, 2022. "Long‐term inflation expectations and inflation dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 158-174, January.
    10. N. Cordemans & J. Wauters, 2018. "Are inflation and economic activity out of sync in the euro area?," Economic Review, National Bank of Belgium, issue i, pages 79-96, June.
    11. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    12. Karol Szafranek, 2016. "Linking excessive disinflation and output movements in an emerging, small open economy A hybrid New Keynesian Phillips Curve perspective," NBP Working Papers 239, Narodowy Bank Polski.
    13. Christian Gillitzer & John Simon, 2015. "Inflation Targeting: A Victim of Its Own Success," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 259-287, September.
    14. Consolo, Agostino & Da Silva, António Dias, 2019. "The euro area labour market through the lens of the Beveridge curve," Economic Bulletin Articles, European Central Bank, vol. 4.
    15. Sune Karlsson & Pär Österholm, 2020. "A note on the stability of the Swedish Phillips curve," Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
    16. Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2018. "Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181520, Verein für Socialpolitik / German Economic Association.
    17. Olivier Coibion & Yuriy Gorodnichenko & Dmitri Koustas, 2013. "Amerisclerosis? The Puzzle of Rising U.S. Unemployment Persistence," NBER Working Papers 19600, National Bureau of Economic Research, Inc.
    18. Heinrichs, Katrin & Wagner, Helmut, 2019. "Positive trend inflation and the Phillips curve – A tale of two slopes and various impulse responses," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 283-307.
    19. Arnoud Stevens & Joris Wauters, 2021. "Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
    20. Francesca Rondina, 2017. "Model Uncertainty and the Direction of Fit of the Postwar U.S. Phillips Curve(s)," Working Papers 1702E, University of Ottawa, Department of Economics.
    21. 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).
    22. Isabel Gödl-Hanisch, 2023. "Bank Concentration and Monetary Policy Pass-Through," CESifo Working Paper Series 10378, CESifo.
    23. Suleyman Hilmi Kal & Ferhat Arslaner & Nuran Arslaner, 2015. "Sources of Asymmetry and Non-linearity in Pass-Through of Exchange Rate and Import Price to Consumer Price Inflation for the Turkish Economy during Inflation Targeting Regime," Working Papers 1530, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    24. Karol Szafranek & Aleksandra Hałka, 2017. "Determinants of low inflation in an emerging, small open economy. A comparison of aggregated and disaggregated approaches," NBP Working Papers 267, Narodowy Bank Polski.
    25. Álvarez, Luis J. & Sánchez, Isabel, 2019. "Inflation projections for monetary policy decision making," Journal of Policy Modeling, Elsevier, vol. 41(4), pages 568-585.
    26. López Pérez, Víctor, 2015. "Do professional forecasters behave as if they believed in the new Keynesian Phillips Curve for the euro area?," Working Paper Series 1763, European Central Bank.
    27. Jean-Paul L'Huillier & William R. Zame, 2015. "The Flattening of the Phillips Curve and the Learning Problem of the Central Bank," EIEF Working Papers Series 1503, Einaudi Institute for Economics and Finance (EIEF), revised Oct 2014.
    28. A. Stevens, 2013. "What inflation developments reveal about the Phillips curve: implications for monetary policy," Economic Review, National Bank of Belgium, issue iii, pages 67-76, December.
    29. Johanna Amberger & Ralf Fendel, 2017. "The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same?," Applied Economics and Finance, Redfame publishing, vol. 4(3), pages 77-88, May.
    30. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    31. Luis J. Álvarez & Isabel Sánchez, 2017. "A suite of inflation forecasting models," Occasional Papers 1703, Banco de España.
    32. Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2013. "Inflation and the Steeplechase Between Economic Activity Variables," Working Papers 2013/15, Czech National Bank.
    33. Alain Kabundi & Montfort Mlachila, 2018. "Monetary Policy Credibility and Exchange Rate PassThrough in South Africa," Working Papers 8690, South African Reserve Bank.
    34. Pierpaolo Benigno & Gauti B. Eggertsson, 2023. "It’s Baaack: The Surge in Inflation in the 2020s and the Return of the Non-Linear Phillips Curve," NBER Working Papers 31197, National Bureau of Economic Research, Inc.
    35. Michal Andrle & Oxana Babecka Kucharcukova & Jaromir Baxa & Jan Bruha & Peter Claeys & Jan Filacek & Jakub Mateju & Miroslav Plasil & Serhat Solmaz & Borek Vasicek, 2015. "Monetary Policy Challenges in a Low-Inflation Environment," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 13, number rb13/2 edited by Jan Babecky & Michal Franta, January.
    36. Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," Finance and Economics Discussion Series 2023-015, Board of Governors of the Federal Reserve System (U.S.).
    37. José Antonio Gibanel Salazar, 2014. "Economic models: comparative analysis of their adjustment and prediction capacities," Contribuciones a la Economía, Servicios Académicos Intercontinentales SL, issue 2014-05, November.
    38. Geoff Weir, 2018. "Wage Growth Puzzles and Technology," RBA Research Discussion Papers rdp2018-10, Reserve Bank of Australia.

  11. Mr. Philip Liu & Rafael Romeu & Mr. Troy D Matheson, 2011. "Real-time Forecasts of Economic Activity for Latin American Economies," IMF Working Papers 2011/098, International Monetary Fund.

    Cited by:

    1. Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
    2. Niu, Linlin & Xu, Xiu & Chen, Ying, 2017. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," Economic Modelling, Elsevier, vol. 66(C), pages 201-213.
    3. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    4. 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.
    5. 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.
    6. Abel Rodríguez Tirado & Marcelo Delajara & Federico Hernández Álvarez, 2016. "Nowcasting Mexico’s Short-Term GDP Growth in Real-Time: A Factor Model versus Professional Forecasters," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2016), pages 167-182, October.
    7. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    8. Christian Glocker & Serguei Kaniovski, 2022. "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
    9. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    10. 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).
    11. Jiang, Yu & Guo, Yongji & Zhang, Yihao, 2017. "Forecasting China's GDP growth using dynamic factors and mixed-frequency data," Economic Modelling, Elsevier, vol. 66(C), pages 132-138.
    12. Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
    13. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    14. Bhattacharya, Rudrani & Chakravarti, Parma & Mundle, Sudipto, 2018. "Forecasting India's Economic Growth: A Time-Varying Parameter Regression Approach," Working Papers 18/238, National Institute of Public Finance and Policy.
    15. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    16. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank.
    17. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    18. Marius Cristian Acatrinei, 2020. "Financial stability indicator for non-banking markets," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 3-9, November.
    19. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    20. Shikha Gupta & Nand Kumar, 2023. "Time varying dynamics of globalization effect in India," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 81-97, January.
    21. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    22. González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
    23. Dwita Sakuntala & M. Shabri Abd. Majid & Aliasuddin Aliasuddin & Suriani Suriani, 2022. "Causality between Green Stock Market with Monetary Policy, Global Uncertainty, and Environmental Damage in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 215-223, November.

  12. Mr. Troy D Matheson, 2011. "New Indicators for Tracking Growth in Real Time," IMF Working Papers 2011/043, International Monetary Fund.

    Cited by:

    1. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
    2. Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
    3. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    4. Tesi Aliaj & Milos Ciganovic & Massimiliano Tancioni, 2023. "Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 464-480, April.
    5. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    6. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    7. Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
    8. Karim Barhoumi & Laurent Ferrara, 2015. "A World Trade Leading Index (WTLI)," IMF Working Papers 2015/020, International Monetary Fund.
    9. António Afonso & João Tovar Jalles, 2011. "A Longer-run Perspective on Fiscal Sustainability," Working Papers Department of Economics 2011/17, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    10. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    11. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    12. Dr. 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.
    13. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    14. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    15. Gerhard Fenz & Helmut Stix, 2021. "Monitoring the economy in real time with the weekly OeNB GDP indicator: background, experience and outlook," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 17-40.
    16. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    17. 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.
    18. Hopp Daniel, 2022. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Journal of Official Statistics, Sciendo, vol. 38(3), pages 847-873, September.
    19. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    20. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
    21. 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.
    22. 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.

  13. Mr. Troy D Matheson, 2011. "Financial Conditions Indexes for the United States and Euro Area," IMF Working Papers 2011/093, International Monetary Fund.

    Cited by:

    1. Dimitris, Korobilis, 2013. "Forecasting with Factor Models: A Bayesian Model Averaging Perspective," MPRA Paper 52724, University Library of Munich, Germany.
    2. Margarita Debuque-Gonzales & Maria Socorro Gochoco-Bautista, 2017. "Financial Conditions Indexes and Monetary Policy in Asia," Asian Economic Papers, MIT Press, vol. 16(2), pages 83-117, Summer.
    3. Gilles Dufrénot & Karine Gente & Frédia Monsia, 2016. "Macroeconomic imbalances, financial stress and fiscal vulnerability in the euro area before the debt crises: A market view," Post-Print hal-01440301, HAL.
    4. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    5. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, December.
    6. Eleni Angelopoulou & Hiona Balfoussia & Heather D. Gibson, 2012. "Building a financial conditions index for the euro area and selected euro area countries: what does it tell us about the crisis?," Working Papers 147, Bank of Greece.
    7. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Documentos de Trabajo del ICAE 2014-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Financial Conditions Index," Working Papers in Economics 14/13, University of Canterbury, Department of Economics and Finance.
    9. Mr. Nicolas Arregui & Mr. Selim A Elekdag & Mr. Gaston Gelos & Romain Lafarguette & Dulani Seneviratne, 2018. "Can Countries Manage Their Financial Conditions Amid Globalization?," IMF Working Papers 2018/015, International Monetary Fund.
    10. Hyunju Kang & Bok-Keun Yu & Jongmin Yu, 2015. "Global Liquidity and Commodity Prices," Working Papers 2015-14, Economic Research Institute, Bank of Korea.
    11. Nicolaas van der Wath, 2016. "Gauging financial conditions in South Africa," Working Papers 10/2016, Stellenbosch University, Department of Economics.
    12. Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
    13. Thanda Sithole & Beatrice D. Simo-Kengne & Modeste Some, 2017. "The role of financial conditions in transmitting external shocks to South Africa," International Economics, CEPII research center, issue 150, pages 36-56.
    14. Darracq Pariès, Matthieu & Maurin, Laurent & Moccero, Diego, 2014. "Financial conditions index and credit supply shocks for the euro area," Working Paper Series 1644, European Central Bank.
    15. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    16. 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.
    17. Chang, C-L. & Hsu, H-K. & McAleer, M.J., 2017. "A Tourism Financial Conditions Index for Tourism Finance," Econometric Institute Research Papers TI 2017-071/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    19. Meltem Gulenay Chadwick & Huseyin Ozturk, 2018. "Measuring Financial Systemic Stress for Turkey: A Search for the Best Composite Indicator," Working Papers 1816, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    20. Akira Kohsaka & Jun-ichi Shinkai, 2014. "East Asian Financial Cycles: Asian vs. Global Financial Crises," OSIPP Discussion Paper 14E008, Osaka School of International Public Policy, Osaka University.
    21. Xiaochun Jiang & Wei Sun & Peng Su & Ting Wang, 2019. "The Synergy of Financial Volatility between China and the United States and the Risk Conduction Paths," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    22. Noh-Sun Kwark & Changhyun Lee, 2020. "Asymmetric Effects of Financial Conditions on GDP Growth in Korea: A Quantile Regression Analysis," Working Papers 2005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    23. Figueres, Juan Manuel & Jarociński, Marek, 2020. "Vulnerable growth in the euro area: Measuring the financial conditions," Economics Letters, Elsevier, vol. 191(C).
    24. Arrigoni, Simone & Bobasu, Alina & Venditti, Fabrizio, 2021. "The simpler, the better: Measuring financial conditions for monetary policy and financial stability," EIB Working Papers 2021/10, European Investment Bank (EIB).
    25. Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    26. Marko Melolinna & Máté Tóth, 2019. "Output gaps, inflation and financial cycles in the UK," Empirical Economics, Springer, vol. 56(3), pages 1039-1070, March.
    27. Mirna Dumičić & Ivo Krznar, 2013. "Financial Conditions and Economic Activity," Working Papers 37, The Croatian National Bank, Croatia.
    28. A. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2012. "Financial Conditions Indices for the Turkish Economy," CBT Research Notes in Economics 1231, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    29. Nicoletta Batini & Mario di Serio & Matteo Fragetta & Mr. Giovanni Melina, 2021. "Building Back Better: How Big Are Green Spending Multipliers?," IMF Working Papers 2021/087, International Monetary Fund.
    30. Nicoletta Batini & Alessandro Cantelmo & Giovanni Melina & Stefania Villa, 2020. "How Loose, how tight? A measure of monetary and fiscal stance for the euro area," Temi di discussione (Economic working papers) 1295, Bank of Italy, Economic Research and International Relations Area.
    31. Eidenberger, Judith & Neudorfer, Benjamin & Sigmund, Michael & Stein, Ingrid, 2014. "What predicts financial (in)stability? A Bayesian approach," Discussion Papers 36/2014, Deutsche Bundesbank.
    32. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2015. "Turkiye icin Finansal Kosullar Endeksi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 15(3), pages 41-73.
    33. Roman Matkovskyy & Taoufik Bouraoui & Helmi Hammami, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Post-Print hal-02008005, HAL.
    34. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2015. "Estimation and prediction of an Index of Financial Safety of Tunisia," MPRA Paper 74573, University Library of Munich, Germany, revised 2016.
    35. Hartmann, Philipp & Hubrich, Kirstin & Kremer, Manfred & Tetlow, Robert J., 2013. "Melting down: Systemic financial instability and the macroeconomy," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80487, Verein für Socialpolitik / German Economic Association.
    36. Dr. 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.
    37. Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
    38. Sirio Aramonte & Samuel Rosen & John W. Schindler, 2013. "Assessing and combining financial conditions indexes," Finance and Economics Discussion Series 2013-39, Board of Governors of the Federal Reserve System (U.S.).
    39. Simone Arrigoni & Alina Bobasu & Fabrizio Venditti, 2022. "Measuring Financial Conditions using Equal Weights Combination," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 668-697, December.
    40. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Upside-Downside Multifractality and Efficiency of Green Bonds: The Roles of Global Factors and COVID-19," Finance Research Letters, Elsevier, vol. 43(C).
    41. Alain Kabundi & Asithandile Mbelu, 2021. "Estimating a time-varying financial conditions index for South Africa," Empirical Economics, Springer, vol. 60(4), pages 1817-1844, April.
    42. Tomislav Globan, 2018. "Financial supply cycles in post-transition Europe – introducing a composite index for financial supply," Post-Communist Economies, Taylor & Francis Journals, vol. 30(4), pages 482-505, July.
    43. Koong, Seow Shin & Law, Siong Hook & Ibrahim, Mansor H., 2017. "Credit expansion and financial stability in Malaysia," Economic Modelling, Elsevier, vol. 61(C), pages 339-350.
    44. Ferriani, Fabrizio & Gazzani, Andrea, 2022. "Financial condition indices for emerging market economies: Can Google help?," Economics Letters, Elsevier, vol. 216(C).
    45. Umit Bulut, 2016. "Do Financial Conditions have a Predictive Power on Inflation in Turkey?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 621-628.
    46. Ms. Sally Chen & Mr. Philip Liu & Andrea M. Maechler & Chris Marsh & Mr. Sergejs Saksonovs & Mr. Hyun S Shin, 2012. "Exploring the Dynamics of Global Liquidity," IMF Working Papers 2012/246, International Monetary Fund.
    47. Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.
    48. Foluso A. Akinsola & Nicholas M. Odhiambo, 2017. "The impact of financial liberalization on economic growth in sub-Saharan Africa," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1338851-133, January.
    49. Gary Koop & Dimitris Korobilis, 2013. "A new index of financial conditions," Working Papers 1307, University of Strathclyde Business School, Department of Economics.
    50. Nicoletti, Giulio & Wacker, Konstantin M. & Lodge, David, 2014. "Measuring financial conditions in major non-euro area economies," Working Paper Series 1743, European Central Bank.
    51. Mr. Luis Brandão-Marques & Mrs. Esther Perez Ruiz, 2017. "How Financial Conditions Matter Differently across Latin America," IMF Working Papers 2017/218, International Monetary Fund.
    52. De Santis, Roberto A. & Van der Veken, Wouter, 2020. "Forecasting macroeconomic risk in real time: Great and Covid-19 Recessions," Working Paper Series 2436, European Central Bank.
    53. Hosszú, Zsuzsanna, 2018. "The impact of credit supply shocks and a new Financial Conditions Index based on a FAVAR approach," Economic Systems, Elsevier, vol. 42(1), pages 32-44.
    54. Lawson, Jeremy & Watt, Abigail & Martinez, Carolina & Fu, Rong, 2019. "Chinese Financial Conditions and their Spillovers to the Global Economy and Markets," CEPR Discussion Papers 14065, C.E.P.R. Discussion Papers.
    55. Arianna Miglietta & Fabrizio Venditti, 2019. "An indicator of macro-financial stress for Italy," Questioni di Economia e Finanza (Occasional Papers) 497, Bank of Italy, Economic Research and International Relations Area.
    56. Jeevan Kumar Khundrakpam & Rajesh Kavediya & Jessica M. Anthony, 2017. "Estimating Financial Conditions Index for India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(1), pages 61-89, April.
    57. Wang, Hao & Xu, Ning & Yin, Haiyan & Ji, Hao, 2022. "The dynamic impact of monetary policy on financial stability in China after crises," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    58. Magdalena Erdem & Kostas Tsatsaronis, 2013. "Financial conditions and economic activity: a statistical approach," BIS Quarterly Review, Bank for International Settlements, March.
    59. Carpenter, Seth & Demiralp, Selva & Schlusche, Bernd & Senyuz, Zeynep, 2014. "Measuring stress in money markets: A dynamic factor approach," Economics Letters, Elsevier, vol. 125(1), pages 101-106.
    60. Björn Roye, 2014. "Financial stress and economic activity in Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 101-126, February.
    61. Lin Zhu & Jian He, 2024. "China financial stability and asymmetric implications for economic stability," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-29, February.
    62. van Roye, Björn, 2011. "Financial stress and economic activity in Germany and the Euro Area," Kiel Working Papers 1743, Kiel Institute for the World Economy (IfW Kiel).
    63. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-37.
    64. Rasa Stasiukynaite, 2017. "Understanding Monetary Policy Stance," Bank of Lithuania Occasional Paper Series 14, Bank of Lithuania.

  14. Kevin Clinton & Marianne Johnson & Mr. Jaromir Benes & Mr. Douglas Laxton & Mr. Troy D Matheson, 2010. "Structural Models in Real Time," IMF Working Papers 2010/056, International Monetary Fund.

    Cited by:

    1. Rania A. Al-Mashat & Mr. Ales Bulir & N. Nergiz Dinçer & Tibor Hlédik & Mr. Tomás Holub & Asya Kostanyan & Mr. Douglas Laxton & Armen Nurbekyan & Mr. Rafael A Portillo & Hou Wang, 2018. "An Index for Transparency for Inflation-Targeting Central Banks: Application to the Czech National Bank," IMF Working Papers 2018/210, International Monetary Fund.
    2. Jan Brùha, 2011. "An Empirical Small Labor Market Model for the Czech Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 434-449, November.
    3. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2014. "Bayesian averaging of classical estimates in forecasting macroeconomic indicators with application of business survey data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 53-68, February.
    4. Ali Alichi & Mr. Jaromir Benes & Mr. Joshua Felman & Irene Feng & Charles Freedman & Mr. Douglas Laxton & Mr. Evan C Tanner & David Vávra & Hou Wang, 2015. "Frontiers of Monetary Policymaking: Adding the Exchange Rate as a Tool to Combat Deflationary Risks in the Czech Republic," IMF Working Papers 2015/074, International Monetary Fund.
    5. Jan Bruha & Tibor Hledik & Tomas Holub & Jiri Polansky & Jaromir Tonner, 2013. "Incorporating Judgments and Dealing with Data Uncertainty in Forecasting at the Czech National Bank," Research and Policy Notes 2013/02, Czech National Bank.

  15. Ashley Dunstan & Troy Matheson & Hamish Pepper, 2009. "Analysing wage and price dynamics in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/06, Reserve Bank of New Zealand.

    Cited by:

    1. Jed Armstrong & Miles Parker, 2016. "How wages are set: evidence from a large survey of firms," Reserve Bank of New Zealand Discussion Paper Series DP2016/03, Reserve Bank of New Zealand.

  16. Chris Bloor & Troy Matheson, 2009. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/02, Reserve Bank of New Zealand.

    Cited by:

    1. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
    2. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    3. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    4. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    5. Reichlin, Lucrezia & Giannone, Domenico & Modugno, Michele & Banbura, Marta, 2012. "Now-casting and the real-time data flow," CEPR Discussion Papers 9112, C.E.P.R. Discussion Papers.
    6. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    7. Kurmas Akdogan & Selen Baser & Meltem Gulenay Chadwick & Dilara Ertug & Timur Hulagu & Sevim Kosem & Fethi Ogunc & M. Utku Ozmen & Necati Tekatli, 2012. "Short-Term Inflation Forecasting Models For Turkey and a Forecast Combination Analysis," Working Papers 1209, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    8. Chris Bloor, 2009. "The use of statistical forecasting models at the Reserve Bank of New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 21-26, June.
    9. Pestova, Anna & Mamonov, Mikhail, 2019. "Should we care? The economic effects of financial sanctions on the Russian economy," BOFIT Discussion Papers 13/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
    11. Simone Auer, 2014. "Monetary policy shocks and foreign investment income: evidence from a large Bayesian VAR," Globalization Institute Working Papers 170, Federal Reserve Bank of Dallas.
    12. Stefan Laseen & Marzie Taheri Sanjani, 2016. "Did the Global Financial Crisis Break the U.S. Phillips Curve?," IMF Working Papers 2016/126, International Monetary Fund.
    13. Ian Borg & Germano Ruisi, 2018. "Forecasting using Bayesian VARs: A Benchmark for STREAM," CBM Working Papers WP/04/2018, Central Bank of Malta.
    14. Antonio Musa, 2022. "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers 08-2022, Economics Section, The Graduate Institute of International Studies.
    15. Chris McDonald, 2012. "Kiwi drivers the New Zealand dollar experience," Reserve Bank of New Zealand Analytical Notes series AN2012/02, Reserve Bank of New Zealand.
    16. Chris McDonald & Leif Anders Thorsrud, 2011. "Evaluating density forecasts: model combination strategies versus the RBNZ," Reserve Bank of New Zealand Discussion Paper Series DP2011/03, Reserve Bank of New Zealand.
    17. Swamy, Vighneswara, 2020. "Macroeconomic transmission of Eurozone shocks to India—A mean-adjusted Bayesian VAR approach," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 126-150.
    18. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2019. "Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ? [Should conditional forecasts of infla," MPRA Paper 116432, University Library of Munich, Germany.
    19. Демешев Борис Борисович & Малаховская Оксана Анатольевна, 2016. "Макроэкономическое Прогнозирование С Помощью Bvar Литтермана," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 691-710.
    20. Yong Zhang & Miner Zhong & Nana Geng & Yunjian Jiang, 2017. "Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    21. Mikhail Mamonov & Anna Pestova, 2021. ""Sorry, You're Blocked." Economic Effects of Financial Sanctions on the Russian Economy," CERGE-EI Working Papers wp704, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    22. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2017. "GDP nowcasting: application and constraints in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3880-3890, August.
    23. Jos Jansen, W. & Jin, Xiaowen & Winter, Jasper M. de, 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," Munich Reprints in Economics 43488, University of Munich, Department of Economics.
    24. Misha van Beek, 2020. "Consistent Calibration of Economic Scenario Generators: The Case for Conditional Simulation," Papers 2004.09042, arXiv.org.
    25. Shahzad Ahmad & Adnan Haider, 2019. "An evaluation of the forecast performance of DSGE and VAR Models: The case of a developing country," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(1), pages 28-52, January-J.
    26. Adam Richardson, 2016. "Behind the scenes of an OCR decision in New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 79, pages 1-15, July.
    27. Kyle E. Binder & James W. Mjelde, 2018. "Projecting impacts of carbon dioxide emission reductions in the US electric power sector: evidence from a data-rich approach," Climatic Change, Springer, vol. 151(2), pages 143-155, November.

  17. Chris Bloor & Troy Matheson, 2008. "Analysing shock transmission in a data-rich environment: A large BVAR for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/09, Reserve Bank of New Zealand.

    Cited by:

    1. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
    2. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    3. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Sarah Drought & Chris McDonald, 2011. "Forecasting house price inflation: a model combination approach," Reserve Bank of New Zealand Discussion Paper Series DP2011/07, Reserve Bank of New Zealand.
    5. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    6. Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Güneş Kamber & Chris McDonald & Gael Price, 2013. "Drying out: Investigating the economic effects of drought in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2013/02, Reserve Bank of New Zealand.
    8. Rangan Gupta & Marius Jurgilas & Alain Kabundi & Stephen M. Miller, 2009. "Monetary Policy and Housing Sector Dynamics in a Large-Scale Bayesian Vector Autoregressive Model," Working papers 2009-19, University of Connecticut, Department of Economics.
    9. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    10. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
    11. Rangan Gupta & Marius Jurgilas & Stephen M. Miller & Dylan van Wyk, 2010. "Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics," Working Papers 201009, University of Pretoria, Department of Economics.
    12. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    13. Gallic, Ewen & Vermandel, Gauthier, 2017. "Weather Shocks, Climate Change and Business Cycles," MPRA Paper 81230, University Library of Munich, Germany.
    14. Thorsten Franz, 2020. "The Effects of Borrower-Based Macroprudential Policy: An Empirical Application to Korea," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 1-47, October.
    15. Giuliano Queiroz Ferreira & Leonardo Bornacki Mattos, 2022. "Regime-dependent price puzzle in the Brazilian economy: evidence from VAR and FAVAR approaches," SN Business & Economics, Springer, vol. 2(9), pages 1-28, September.
    16. M. Tiunova G. & М. Тиунова Г., 2018. "Моделирование Эффекта Переноса Валютного Курса На Цены В России // Modeling The Transfer Effect Of Exchange Rate On Prices In Russia," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(3), pages 136-154.
    17. John Muellbauer, 2010. "Household decisions, credit markets and the macroeconomy: implications for the design of central bank models," BIS Working Papers 306, Bank for International Settlements.
    18. Ewen Gallic & Gauthier Vermandel, 2020. "Weather Shocks," Post-Print hal-02498669, HAL.
    19. Nicholas Sander, 2013. "Migration and the housing market," Reserve Bank of New Zealand Analytical Notes series AN2013/10, Reserve Bank of New Zealand.
    20. Barkhordari, Sajjad & Forughi Far, Mohsen, 2020. "The Dynamic Regional Effects of Monetary Policy on Employment in Iran (TVP-FAVAR Approach)," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 6(4), pages 109-136, February.
    21. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    22. Dean Ford & Amy Wood, 2015. "El Niño and its impact on the New Zealand economy," Reserve Bank of New Zealand Analytical Notes series AN2015/07, Reserve Bank of New Zealand.
    23. Chris Bloor & Chris McDonald, 2013. "Estimating the impacts of restrictions on high LVR lending," Reserve Bank of New Zealand Analytical Notes series AN2013/05, Reserve Bank of New Zealand.
    24. Dimitris Korobilis & Michelle Gilmartin, 2011. "The Dynamic Effects of U.S. Monetary Policy on State Unemployment," Working Paper series 12_11, Rimini Centre for Economic Analysis.
    25. Ms. Adina Popescu & Ms. Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary: Results from a Large Bayesian VAR," IMF Working Papers 2011/259, International Monetary Fund.
    26. Mehmet Balcilar & Rangan Gupta & Zahra Shah, 2010. "An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa," Working Papers 201008, University of Pretoria, Department of Economics.
    27. Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.
    28. Boris B. Demeshev & Oxana A. Malakhovskaya, 2015. "Forecasting Russian Macroeconomic Indicators with BVAR," HSE Working papers WP BRP 105/EC/2015, National Research University Higher School of Economics.
    29. Rangan Gupta, 2012. "Forecasting House Prices for the Four Census Regions and the Aggregate US Economy: The Role of a Data-Rich Environment," Working Papers 201214, University of Pretoria, Department of Economics.

  18. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.

    Cited by:

    1. Kirdan Lees, 2009. "Overview of a recent Reserve Bank workshop: nowcasting with model combination," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 31-33, March.
    2. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.

  19. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.

    Cited by:

    1. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    2. Ramiro Rodríguez Revilla, 2011. "Modelos de equilibrio general dinámicos y estocásticos para Colombia 1995-2011," Revista Ecos de Economía, Universidad EAFIT, December.
    3. Eijffinger, Sylvester & Uras, Burak & Grajales, Anderson, 2015. "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," CEPR Discussion Papers 10532, C.E.P.R. Discussion Papers.
    4. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    5. Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011. "Combining VAR and DSGE forecast densities," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
    6. Chris Bloor & Chris Hunt & Tim Ng & Hamish Pepper, 2008. "The use of money and credit measures in contemporary monetary policy," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 71, March.
    7. da Silva, Marcos Soares & Divino, Jose Angelo, 2013. "The role of banking regulation in an economy under credit risk and liquidity shock," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 266-281.
    8. Guha, Puja, 2013. "Macroeconomic effects of international remittances: The case of developing economies," Economic Modelling, Elsevier, vol. 33(C), pages 292-305.

  20. Kirdan Lees & Troy Matheson & Christie Smith, 2007. "Open economy DSGE-VAR forecasting and policy analysis - head to head with the RBNZ published forecasts," Reserve Bank of New Zealand Discussion Paper Series DP2007/01, Reserve Bank of New Zealand.

    Cited by:

    1. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    2. Yuliya Rychalovska & Massimiliano Marcellino (EUI), 2013. "An estimated DSGE model of a Small Open Economy within the Monetary Union: Forecasting and Structural Analysis," EcoMod2013 5302, EcoMod.
    3. Marcin Kolasa & Michał Rubaszek, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," NBP Working Papers 282, Narodowy Bank Polski.
    4. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    5. Gürkaynak, Refet & Edge, Rochelle, 2010. "How Useful Are Estimated DSGE Model Forecasts for Central Bankers?," CEPR Discussion Papers 8158, C.E.P.R. Discussion Papers.
    6. Gunji, Hiroshi & Miura, Kazuki & Yuan, Yuan, 2009. "Bank competition and monetary policy," Japan and the World Economy, Elsevier, vol. 21(1), pages 105-115, January.
    7. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparision of forecast, simple reduced-form models, and a DSGE model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    9. Michael Wickens, 2014. "How Useful are DSGE Macroeconomic Models for Forecasting?," Open Economies Review, Springer, vol. 25(1), pages 171-193, February.
    10. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    11. Kolasa, Marcin & Rubaszek, Michał & Skrzypczyński, Paweł, 2009. "Putting the New Keynesian DSGE model to the real-time forecasting test," Working Paper Series 1110, European Central Bank.
    12. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    13. Julien Albertini & Güneş Kamber & Michael Kirker, 2012. "Estimated Small Open Economy Model with Frictional Unemployment," Post-Print halshs-02188600, HAL.
    14. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank.
    15. Pop, Raluca-Elena, 2017. "A small-scale DSGE-VAR model for the Romanian economy," Economic Modelling, Elsevier, vol. 67(C), pages 1-9.
    16. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," Post-Print hal-03399242, HAL.
    17. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
    18. Renata Wróbel-Rotter, 2016. "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 93-114, June.
    19. Luciano Vereda & Marco A. F. H. Cavalcanti, 2010. "Modelo Dinâmico Estocástico de Equilíbrio Geral (DSGE) Para a Economia Brasileira: Versão 1," Discussion Papers 1479, Instituto de Pesquisa Econômica Aplicada - IPEA.
    20. Andrew Hodge & Tim Robinson & Robyn Stuart, 2008. "A Small BVAR-DSGE Model for Forecasting the Australian Economy," RBA Research Discussion Papers rdp2008-04, Reserve Bank of Australia.
    21. Jaromír Beneš & Andrew Binning & Kirdan Lees, 2008. "Incorporating judgement with DSGE models," Reserve Bank of New Zealand Discussion Paper Series DP2008/10, Reserve Bank of New Zealand.
    22. Gregor Bäurle & Tobias Menz, 2008. "Monetary Policy in a Small Open Economy Model: A DSGE-VAR Approach for Switzerland," Working Papers 08.03, Swiss National Bank, Study Center Gerzensee.
    23. Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).

  21. Troy Matheson, 2007. "An analysis of the informational content of New Zealand data releases: the importance of business opinion surveys," Reserve Bank of New Zealand Discussion Paper Series DP2007/13, Reserve Bank of New Zealand.

    Cited by:

    1. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
    2. William 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.
    3. 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.
    4. 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.
    5. 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.
    6. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    7. 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.
    8. 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.
    9. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    10. 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.).
    11. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    12. Mr. Troy D Matheson, 2011. "Financial Conditions Indexes for the United States and Euro Area," IMF Working Papers 2011/093, International Monetary Fund.
    13. 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.
    14. D'Agostino, Antonello & McQuinn, Kieran & O'Brien, Derry, 2008. "Now-casting Irish GDP," Research Technical Papers 9/RT/08, Central Bank of Ireland.
    15. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    16. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
    17. 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.
    18. Iyer , Tara & Sen Gupta, Abhijit, 2019. "Nowcasting Economic Growth in India: The Role of Rainfall," ADB Economics Working Paper Series 593, Asian Development Bank.
    19. 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.
    20. , 2020. "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper RWP 20-09, Federal Reserve Bank of Kansas City.
    21. Barış Soybilgen & Ege Yazgan, 2021. "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 387-417, January.
    22. Evzen Kocenda & Karen Poghosyan, 2018. "Nowcasting real GDP growth with business tendency surveys data: A cross country analysis," KIER Working Papers 1002, Kyoto University, Institute of Economic Research.
    23. 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.
    24. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Nowcasting," Working Papers ECARES ECARES 2010-021, ULB -- Universite Libre de Bruxelles.
    25. 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.
    26. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
    27. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    28. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank.
    29. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    30. Mr. Troy D Matheson, 2011. "New Indicators for Tracking Growth in Real Time," IMF Working Papers 2011/043, International Monetary Fund.
    31. María Alejandra Hernández-Montes & Ramón Hernández-Ortega & Jonathan Alexander Muñoz-Martínez, 2022. "Aporte de las expectativas de empresarios al pronóstico de las variables macroeconómicas," Borradores de Economia 1202, Banco de la Republica de Colombia.
    32. 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.
    33. Konstantin S. Rybak, 2023. "Анализ Важности Глобальных Факторов Для Наукастинга Ввп," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    34. 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.).
    35. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    36. Chris Bloor & Chris Hunt & Tim Ng & Hamish Pepper, 2008. "The use of money and credit measures in contemporary monetary policy," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 71, March.
    37. Liu, Philip & Matheson, Troy & Romeu, Rafael, 2012. "Real-time forecasts of economic activity for Latin American economies," Economic Modelling, Elsevier, vol. 29(4), pages 1090-1098.
    38. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    39. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    40. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    41. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    42. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
    43. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    44. Davor Kunovac & Borna Špalat, 2014. "Nowcasting GDP Using Available Monthly Indicators," Working Papers 39, The Croatian National Bank, Croatia.
    45. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.

  22. Matheson, Troy D, 2006. "Factor Model Forecasts for New Zealand," MPRA Paper 807, University Library of Munich, Germany.

    Cited by:

    1. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    2. Eliana González & . Luis F. Melo & Viviana Monroy & Brayan Rojas, 2009. "A Dynamic Factor Model for the Colombian Inflation," Borradores de Economia 549, Banco de la Republica de Colombia.
    3. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2008. "Forecasting Macroeconomic Variables Using Diffusion Indexes in Short Samples with Structural Change," Working Papers 334, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Domenico Giannone & Troy Matheson, 2006. "A new core inflation indicator for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
    5. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    6. Aleksandra Nocoń, 2020. "Sustainable Approach to the Normalization Process of the UK’s Monetary Policy," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    7. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    8. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting New Zealand GDP using machine learning algorithms," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    9. Poghosyan, K., 2012. "Structural and reduced-form modeling and forecasting with application to Armenia," Other publications TiSEM ad1a24c3-15e6-4f04-b338-3, Tilburg University, School of Economics and Management.
    10. 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.
    11. Poghosyan, Karen & Poghosyan, Ruben, 2021. "On the applicability of dynamic factor models for forecasting real GDP growth in Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 28-46.
    12. Ooft, Gavin, 2018. "Modelling and Forecasting Inflation for the Economy of Suriname," EconStor Preprints 215534, ZBW - Leibniz Information Centre for Economics.
    13. Viktors Ajevskis & Gundars Davidsons, 2008. "Dynamic Factor Models in Forecasting Latvia's Gross Domestic Product," Working Papers 2008/02, Latvijas Banka.
    14. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2017. "Forecasting Inflation in Latin America with Core Measures," MPRA Paper 80496, University Library of Munich, Germany.
    15. Michael Ryan & Kam Leong Szeto, 2009. "An Introduction to the New Zealand Treasury Model," Treasury Working Paper Series 09/02, New Zealand Treasury.
    16. Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
    17. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
    18. Ooft, Gavin, 2020. "Forecasting Monthly Inflation: An Application To Suriname," Studies in Applied Economics 144, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    19. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    20. Amstad, Marlene & Ye, Huan & Ma, Guonan, 2018. "Developing an underlying inflation gauge for China," BOFIT Discussion Papers 11/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    21. Karsten R. Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Evaluating ensemble density combination - forecasting GDP and inflation," Working Paper 2009/19, Norges Bank.
    22. 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.
    23. Pang, Iris Ai Jao, 2010. "Forecasting Hong Kong economy using factor augmented vector autoregression," MPRA Paper 32495, University Library of Munich, Germany.
    24. 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.
    25. Ercio Muñoz & Pablo Cruz, 2012. "Uso de un Modelo Favar para Proyectar el Precio del Cobre," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(3), pages 84-95, December.
    26. Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.
    27. Christian Gillitzer & Jonathan Kearns, 2007. "Forecasting with Factors: The Accuracy of Timeliness," RBA Research Discussion Papers rdp2007-03, Reserve Bank of Australia.

  23. Domenico Giannone & Troy Matheson, 2006. "A new core inflation indicator for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.

    Cited by:

    1. Elena Deryugina & Alexey Ponomarenko & Andrey Sinyakov & Constantine Sorokin, 2018. "Evaluating underlying inflation measures for Russia," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 11(2), pages 124-145, May.
    2. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    3. Riccardo Cristadoro & Giuseppe Saporito & Fabrizio Venditti, 2013. "Forecasting inflation and tracking monetary policy in the euro area: does national information help?," Empirical Economics, Springer, vol. 44(3), pages 1065-1086, June.
    4. Domenico Giannone & Troy Matheson, 2006. "A new core inflation indicator for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
    5. Ant?nio Cl¨¦cio de Brito & Elano Ferreira Arruda & Ivan Castelar & Nicolino Trompieri Neto & Cristiano Santos, 2019. "Core Inflation, Expectations and Inflation Dynamics in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(6), pages 1-1, June.
    6. Amstad, Marlene & Fischer, Andreas M., 2010. "Monthly pass-through ratios," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1202-1213, July.
    7. Aaron Drew & Özer Karagedikli, 2008. "Some benefits of monetary policy transparency in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/01, Reserve Bank of New Zealand.
    8. Satish Ranchhod, 2013. "Measures of New Zealand core inflation," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 76, pages 3-11, March.
    9. Carlomagno, Guillermo & Fornero, Jorge & Sansone, Andrés, 2023. "A proposal for constructing and evaluating core inflation measures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
    10. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
    11. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
    12. Baqaee, David, 2010. "Using wavelets to measure core inflation: The case of New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 21(3), pages 241-255, December.
    13. Chris Bloor, 2009. "The use of statistical forecasting models at the Reserve Bank of New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 21-26, June.
    14. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016. "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 539-565, Emerald Group Publishing Limited.
    15. Alan K. Detmeister, 2011. "The usefulness of core PCE inflation measures," Finance and Economics Discussion Series 2011-56, Board of Governors of the Federal Reserve System (U.S.).
    16. Brent Meyer & Saeed Zaman, 2016. "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper 2016-13, Federal Reserve Bank of Atlanta.
    17. Mark A. Wynne, 2008. "How should central banks define price stability?," Globalization Institute Working Papers 08, Federal Reserve Bank of Dallas.
    18. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2017. "Forecasting Inflation in Latin America with Core Measures," MPRA Paper 80496, University Library of Munich, Germany.
    19. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
    20. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Economics Working Papers ECO2008/22, European University Institute.
    21. Rachel Holden, 2006. "Measuring core inflation," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 69, pages 1-7, December.
    22. Marlene Amstad & Ye Huan & Guonan Ma, 2014. "Developing an underlying inflation gauge for China," BIS Working Papers 465, Bank for International Settlements.
    23. Günes Kamber & Benjamin Wong, 2016. "Testing an Interpretation of Core Inflation Measures in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/06, Reserve Bank of New Zealand.
    24. Jinill Kim & Byung Kwun Ahn, 2012. "A New Measure for Core Inflation Based on Generalized Dynamic-Factor Model," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 18(2), pages 1-28, June.
    25. Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Staff Working Papers 13-35, Bank of Canada.
    26. Oğuz Atuk & Mustafa Utku Özmen, 2009. "Design and evaluation of core inflation measures for Turkey," IFC Working Papers 3, Bank for International Settlements.
    27. Min Chang & Changho Choi & Keunhyeong Park, 2016. "Inflation dynamics in the post-crisis period: Korea's experience," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 221-230, Bank for International Settlements.
    28. Gideon Du Rand & Kevin Kotze & Stan Du Plessis, 2015. "Measuring Core Inflation in South Africa," Working Papers 503, Economic Research Southern Africa.
    29. Sigal Ribon, 2009. "Core Inflation Indices for Israel," Bank of Israel Working Papers 2009.08, Bank of Israel.
    30. Marlene Amstad & Simon M. Potter, 2009. "Real time underlying inflation gauges for monetary policymakers," Staff Reports 420, Federal Reserve Bank of New York.
    31. 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.
    32. Marlene Amstad & Simon Potter & Robert Rich, 2014. "The FRBNY Staff Underlying Inflation Gauge: UIG," BIS Working Papers 453, Bank for International Settlements.
    33. Bjarni G. Einarsson, 2014. "A Dynamic Factor Model for Icelandic Core Inflation," Economics wp67, Department of Economics, Central bank of Iceland.
    34. Qin Zhang & He Ni & Hao Xu, 2023. "Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 719-767, March.
    35. Stan Plessis & Gideon Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 527-548, December.
    36. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.

  24. Troy Matheson, 2006. "Phillips curve forecasting in a small open economy," Reserve Bank of New Zealand Discussion Paper Series DP2006/01, Reserve Bank of New Zealand.

    Cited by:

    1. Bazán-Palomino, Walter & Rodríguez, Gabriel, 2018. "The New Keynesian framework for a small open economy with structural breaks: Empirical evidence from Peru," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 13-25.
    2. Ernest Gnan & Maria Teresa Valderrama, 2006. "Globalization, Inflation and Monetary Policy," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 37-54.
    3. Nicoleta CIURILA & Bogdan MURARASU, 2008. "Inflation Dynamics in Romania – a New Keynesian Perspective," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(36), pages 155-160, May.
    4. Claudio E. V. Borio & Andrew Filardo, 2007. "Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation," BIS Working Papers 227, Bank for International Settlements.
    5. Matheson, Troy, 2010. "Assessing the fit of small open economy DSGEs," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 906-920, September.
    6. Ashley Dunstan & Troy Matheson & Hamish Pepper, 2009. "Analysing wage and price dynamics in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/06, Reserve Bank of New Zealand.
    7. Stefán Thórarinsson, 2022. "Analysing inflation dynamics in Iceland using a Bayesian structural vector autoregression model," Economics wp88, Department of Economics, Central bank of Iceland.
    8. Croonenbroeck, Carsten & Stadtmann, Georg, 2012. "Evaluating Phillips curve based inflation forecasts in Europe: A note," Discussion Papers 329, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    9. Juselius, Mikael, 2008. "Testing the New Keynesian Model on U.S. and Euro Area Data," Economics Discussion Papers 2008-23, Kiel Institute for the World Economy (IfW Kiel).
    10. Man Wang & Kun Chen & Qin Luo & Chao Cheng, 2018. "Multi-Step Inflation Prediction with Functional Coefficient Autoregressive Model," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
    11. Ramos Francia Manuel & Torres García Alberto, 2006. "Inflation Dynamics in Mexico: A Characterization Using the New Phillips Curve," Working Papers 2006-15, Banco de México.
    12. Mr. Sergi Lanau & Adrian Robles & Mr. Frederik G Toscani, 2018. "Explaining Inflation in Colombia: A Disaggregated Phillips Curve Approach," IMF Working Papers 2018/106, International Monetary Fund.
    13. Alfred V. Guender & Yu Xie, 2006. "Is There an Exchange Rate Channel in the Forward-Looking Phillips Curve? A Theoretical and Empirical Investigation," Working Papers in Economics 06/16, University of Canterbury, Department of Economics and Finance.

  25. Troy Matheson, 2006. "Assessing the fit of small open economy DSGEs," Reserve Bank of New Zealand Discussion Paper Series DP2006/11, Reserve Bank of New Zealand.

    Cited by:

    1. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    2. Mariana García-Schmidt & Javier García-Cicco, 2020. "A TNT DSGE Model for Chile: Explaining the ERPT," Working Papers Central Bank of Chile 868, Central Bank of Chile.
    3. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    4. Marcin Kolasa & Michał Rubaszek, 2018. "Does the foreign sector help forecast domestic variables in DSGE models?," NBP Working Papers 282, Narodowy Bank Polski.
    5. Dr. Barbara Rudolf & Mathias Zurlinden, 2014. "A compact open economy DSGE model for Switzerland," Economic Studies 2014-08, Swiss National Bank.
    6. Jang Tae-Seok, 2020. "Animal spirits in an open economy: an interaction-based approach to the business cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-16, January.
    7. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    8. Lahcen, Mohammed Ait, 2014. "DSGE models for developing economies: an application to Morocco," MPRA Paper 63404, University Library of Munich, Germany.
    9. Olayinka Oyekola & David Meenagh & Patrick Minford, 2023. "Global Shocks in the US Economy: Effects on Output and the Real Exchange Rate," Open Economies Review, Springer, vol. 34(2), pages 411-435, April.
    10. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2007. "RBCs and DSGEs:The Computational Approach to Business Cycle Theory and Evidence," Reserve Bank of New Zealand Discussion Paper Series DP2007/15, Reserve Bank of New Zealand.
    11. SENBETA, Sisay Regassa, 2013. "Informality and macroeconomic fluctuations: A small open economy New Keynesian DSGE model with dual labour markets," Working Papers 2013002, University of Antwerp, Faculty of Business and Economics.
    12. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    13. Inhwan So, 2017. "Bank Globalization and Monetary Policy Transmission in Small Open Economies," Working Papers 2017-33, Economic Research Institute, Bank of Korea.
    14. Matheson, Troy D., 2008. "Phillips curve forecasting in a small open economy," Economics Letters, Elsevier, vol. 98(2), pages 161-166, February.
    15. Lees, Kirdan & Warburton, Sam, 2010. "A happy "half way-house"? Medium term inflation targeting in New Zealand," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 819-839, September.
    16. Zams, Bastian Muzbar, 2021. "Frictions and empirical fit in a DSGE model for Indonesia," Economic Modelling, Elsevier, vol. 99(C).
    17. Julien Albertini & Güneş Kamber & Michael Kirker, 2012. "Estimated Small Open Economy Model with Frictional Unemployment," Post-Print halshs-02188600, HAL.
    18. Shuyun May Li & Adam Spencer, 2014. "Effectiveness of the Australian Fiscal Stimulus Package: A DSGE Analysis," Department of Economics - Working Papers Series 1184, The University of Melbourne.
    19. de Silva, Ashton, 2008. "Forecasting macroeconomic variables using a structural state space model," MPRA Paper 11060, University Library of Munich, Germany.
    20. Senbeta, Sisay, 2011. "A small open economy New Keynesian model for a foreign exchange constrained economy," MPRA Paper 29996, University Library of Munich, Germany.
    21. SENBATA, Sisay Regassa, 2011. "How applicable are the new Keynesian DSGE models to a typical low-income economy?," Working Papers 2011016, University of Antwerp, Faculty of Business and Economics.
    22. SENBETA, Sisay Regassa, 2011. "A small open economy new Keynesian DSGE model for a foreign exchange constrained economy," Working Papers 2011004, University of Antwerp, Faculty of Business and Economics.
    23. Mariana García-Schmidt & Javier García-Cicco, 2022. "A TNT Model for Chile: Explaining the ERPT," Working Papers 107, Red Nacional de Investigadores en Economía (RedNIE).
    24. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.

Articles

  1. Valerie Cerra & Alfredo Cuevas & Carlos Goes & Izabela Karpowicz & Troy Matheson & Issouf Samake & Svetlana Vtyurina, 2017. "Determinants of Infrastructure and Its Financing," Emerging Economy Studies, International Management Institute, vol. 3(2), pages 113-126, November.

    Cited by:

    1. Ms. Kimberly Beaton & Ms. Valerie Cerra & Metodij Hadzi-Vaskov, 2021. "Trade, Jobs, and Inequality," IMF Working Papers 2021/178, International Monetary Fund.
    2. Tii N. Nchofoung & Simplice A. Asongu & Vanessa S. Tchamyou, 2022. "Effect of women’s political inclusion on the level of infrastructures in Africa," Working Papers of The Association for Promoting Women in Research and Development in Africa (ASPROWORDA). 22/004, The Association for Promoting Women in Research and Development in Africa (ASPROWORDA).
    3. M. Ayhan Kose & Franziska Ohnsorge, 2023. "Slowing Growth: More Than a Rough Patch," Koç University-TUSIAD Economic Research Forum Working Papers 2304, Koc University-TUSIAD Economic Research Forum.

  2. Carlos Góes & Troy Matheson, 2017. "Domestic market integration and the law of one price in Brazil," Applied Economics Letters, Taylor & Francis Journals, vol. 24(5), pages 284-288, March.
    See citations under working paper version above.
  3. Troy D. Matheson, 2014. "New indicators for tracking growth in real time," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 51-71.
    See citations under working paper version above.
  4. Matheson, Troy & Stavrev, Emil, 2014. "News and monetary shocks at a high frequency: A simple approach," Economics Letters, Elsevier, vol. 125(2), pages 282-286.
    See citations under working paper version above.
  5. Matheson, Troy & Stavrev, Emil, 2013. "The Great Recession and the inflation puzzle," Economics Letters, Elsevier, vol. 120(3), pages 468-472.
    See citations under working paper version above.
  6. Matheson, Troy D., 2012. "Financial conditions indexes for the United States and euro area," Economics Letters, Elsevier, vol. 115(3), pages 441-446.
    See citations under working paper version above.
  7. Liu, Philip & Matheson, Troy & Romeu, Rafael, 2012. "Real-time forecasts of economic activity for Latin American economies," Economic Modelling, Elsevier, vol. 29(4), pages 1090-1098.
    See citations under working paper version above.
  8. Bloor, Chris & Matheson, Troy, 2011. "Real-time conditional forecasts with Bayesian VARs: An application to New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 26-42, January.
    See citations under working paper version above.
  9. Lees, Kirdan & Matheson, Troy & Smith, Christie, 2011. "Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 512-528, April.

    Cited by:

    1. P. Fève & J.-G. Sahuc, 2016. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Working papers 585, Banque de France.
    2. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    3. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    4. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    5. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    6. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    7. Kitlinski, Tobias & Schmidt, Torsten, 2011. "The Forecasting Performance of an Estimated Medium Run Model," Ruhr Economic Papers 301, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Lorenzo Burlon & Simone Emiliozzi & Alessandro Notarpietro & Massimiliano Pisani, 2015. "Medium-term forecasting of euro-area macroeconomic variables with DSGE and BVARX models," Questioni di Economia e Finanza (Occasional Papers) 257, Bank of Italy, Economic Research and International Relations Area.
    9. Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408, Edward Elgar Publishing.
    10. Oana Simona HUDEA, 2016. "The New Keynesian Theory And Its Associated Model," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 8, pages 151-159, December.
    11. Jan Babecky & Michal Franta & Jakub Rysanek, 2016. "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers 2016/09, Czech National Bank.
    12. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    13. Sean Langcake & Tim Robinson, 2013. "An Empirical BVAR-DSGE Model of the Australian Economy," RBA Research Discussion Papers rdp2013-07, Reserve Bank of Australia.
    14. Erlan Konebayev, 2023. "Forecasting a Commodity-Exporting Small Open Developing Economy Using DSGE and DSGE-BVAR," International Economic Journal, Taylor & Francis Journals, vol. 37(1), pages 39-70, January.
    15. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    16. Martínez-Martin, Jaime & Morris, Richard & Onorante, Luca & Piersanti, Fabio M., 2019. "Merging structural and reduced-form models for forecasting: opening the DSGE-VAR box," Working Paper Series 2335, European Central Bank.
    17. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    18. Gupta, Rangan & Steinbach, Rudi, 2013. "A DSGE-VAR model for forecasting key South African macroeconomic variables," Economic Modelling, Elsevier, vol. 33(C), pages 19-33.
    19. 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).
    20. Tim Robinson, 2013. "Estimating and Identifying Empirical BVAR-DSGE Models for Small Open Economies," RBA Research Discussion Papers rdp2013-06, Reserve Bank of Australia.
    21. Sean Langcake & Tim Robinson, 2018. "Forecasting the Australian economy with DSGE and BVAR models," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 251-267, January.
    22. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    23. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.
    24. Rossi, Barbara & Gürkaynak, Refet & Kısacıkoğlu, Burçin, 2013. "Do DSGE Models Forecast More Accurately Out-of-Sample than VAR Models?," CEPR Discussion Papers 9576, C.E.P.R. Discussion Papers.
    25. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.

  10. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
    See citations under working paper version above.
  11. Troy D. Matheson & James Mitchell & Brian Silverstone, 2010. "Nowcasting and predicting data revisions using panel survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 313-330.

    Cited by:

    1. Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
    2. Chrystalleni Aristidou & Kevin Lee & Kalvinder Shields, 2015. "Real-Time Data should be used in Forecasting Output Growth and Recessionary Events in the US," Discussion Papers 2015/13, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Kjetil Martinsen & Francesco Ravazzolo & Fredrik Wulfsberg, 2011. "Forecasting macroeconomic variables using disaggregate survey data," Working Paper 2011/04, Norges Bank.
    4. Fornaro, Paolo, 2016. "Predicting Finnish economic activity using firm-level data," International Journal of Forecasting, Elsevier, vol. 32(1), pages 10-19.
    5. Sayag, Doron & Ben-hur, Dano & Pfeffermann, Danny, 2022. "Reducing revisions in hedonic house price indices by the use of nowcasts," International Journal of Forecasting, Elsevier, vol. 38(1), pages 253-266.
    6. Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
    7. Boysen-Hogrefe, Jens & Neuwirth, Stefan, 2012. "The impact of seasonal and price adjustments on the predictability of German GDP revisions," Kiel Working Papers 1753, Kiel Institute for the World Economy (IfW Kiel).
    8. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.

  12. Matheson, Troy D., 2010. "An analysis of the informational content of New Zealand data releases: The importance of business opinion surveys," Economic Modelling, Elsevier, vol. 27(1), pages 304-314, January.
    See citations under working paper version above.
  13. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    See citations under working paper version above.
  14. Matheson, Troy, 2010. "Assessing the fit of small open economy DSGEs," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 906-920, September.
    See citations under working paper version above.
  15. Matheson, Troy D., 2008. "Phillips curve forecasting in a small open economy," Economics Letters, Elsevier, vol. 98(2), pages 161-166, February.
    See citations under working paper version above.
  16. Domenico Giannone & Troy D. Matheson, 2007. "A New Core Inflation Indicator for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 145-180, December.
    See citations under working paper version above.
  17. Troy Matheson & Les Oxley, 2007. "Convergence in Productivity Across Industries: Some Results for New Zealand and Australia," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 55-73.

    Cited by:

    1. Weshah Razzak, 2007. "Explaining the gaps in labour productivity in some developed countries," Money Macro and Finance (MMF) Research Group Conference 2006 30, Money Macro and Finance Research Group.
    2. Razzak, Weshah, 2006. "Explaining the gaps in labour productivity for some developed countries," MPRA Paper 53, University Library of Munich, Germany.
    3. Lavopa, Alejandro, 2011. "The impact of sectoral heterogeneities in economic growth and catching up: Empirical evidence for Latin American manufacturing industries," MERIT Working Papers 2011-075, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

  18. Troy D. Matheson, 2006. "Factor Model Forecasts for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    See citations under working paper version above.
  19. Alfred Guender & Troy Matheson, 2002. "Design flaws in the construction of monetary conditions indices? A cautionary note," New Zealand Economic Papers, Taylor & Francis Journals, vol. 36(2), pages 209-215.

    Cited by:

    1. Buckle, Robert A. & Kim, Kunhong & Kirkham, Heather & McLellan, Nathan & Sharma, Jarad, 2007. "A structural VAR business cycle model for a volatile small open economy," Economic Modelling, Elsevier, vol. 24(6), pages 990-1017, November.

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