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Alexei Onatski

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Onatski, A. & Wang, C., 2020. "Spurious Factor Analysis," Cambridge Working Papers in Economics 2003, Faculty of Economics, University of Cambridge.

    Mentioned in:

    1. Spurious Factor Analysis
      by Francis Diebold in No Hesitations on 2020-07-14 17:50:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models
  2. Alexei Onatski & Francisco Ruge‐Murcia, 2013. "Factor Analysis Of A Large Dsge Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 903-928, September.

    Mentioned in:

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

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Alexei Onatski & Noah Williams, 2010. "Empirical and policy performance of a forward-looking monetary model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 145-176.

    Mentioned in:

    1. Empirical and policy performance of a forward-looking monetary model (Journal of Applied Econometrics 2010) in ReplicationWiki ()

Working papers

  1. Onatski, A. & Wang, C., 2020. "Spurious Factor Analysis," Cambridge Working Papers in Economics 2003, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    2. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    3. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    4. 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.
    5. Rajveer Jat & Daanish Padha, 2024. "Kernel Three Pass Regression Filter," Papers 2405.07292, arXiv.org, revised Jun 2024.
    6. Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
    7. Hasan Isomitdinov & Vladimir Arčabić & Junsoo Lee & Youngjin Yun & James E. Payne, 2024. "International comovements of public debt," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 722-747, April.
    8. Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
    9. Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2023. "Eigen-Analysis for High-Dimensional Time Series Clustering," Monash Econometrics and Business Statistics Working Papers 22/23, Monash University, Department of Econometrics and Business Statistics.

  2. Onatski, A. & Wang, C., 2018. "Extreme canonical correlations and high-dimensional cointegration analysis," Cambridge Working Papers in Economics 1805, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Anna Bykhovskaya & Vadim Gorin, 2023. "High-Dimensional Canonical Correlation Analysis," Papers 2306.16393, arXiv.org, revised Aug 2023.
    2. Gonzalo, Jesús & Pitarakis, Jean-Yves, 2021. "Spurious relationships in high-dimensional systems with strong or mild persistence," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1480-1497.
    3. Feng, Zongbao & Chen, Weiya & Liu, Yang & Chen, Hongyu & Skibniewski, Mirosław J., 2023. "Long-term equilibrium relationship analysis and energy-saving measures of metro energy consumption and its influencing factors based on cointegration theory and an ARDL model," Energy, Elsevier, vol. 263(PD).
    4. Smeekes, Stephan & Wijler, Etienne, 2021. "An automated approach towards sparse single-equation cointegration modelling," Journal of Econometrics, Elsevier, vol. 221(1), pages 247-276.
    5. Anna Bykhovskaya & Vadim Gorin, 2022. "Asymptotics of Cointegration Tests for High-Dimensional VAR($k$)," Papers 2202.07150, arXiv.org, revised Nov 2023.
    6. Anna Bykhovskaya & Vadim Gorin, 2020. "Cointegration in large VARs," Papers 2006.14179, arXiv.org, revised Dec 2021.

  3. Johnstone, I. M & Onatski, A., 2018. "Testing in High-Dimensional Spiked Models," Cambridge Working Papers in Economics 1806, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Hafner, Christian M. & Linton, Oliver B. & Tang, Haihan, 2020. "Estimation of a multiplicative correlation structure in the large dimensional case," Journal of Econometrics, Elsevier, vol. 217(2), pages 431-470.

  4. Onatski, A., 2018. "Asymptotics of the principal components estimator of large factor models with weak factors and i.i.d. Gaussian noise," Cambridge Working Papers in Economics 1808, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Andreou, Elena & Ghysels, Eric, 2021. "Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors," Journal of Econometrics, Elsevier, vol. 220(2), pages 366-398.
    2. Alexei Onatski & Chen Wang, 2021. "Spurious Factor Analysis," Econometrica, Econometric Society, vol. 89(2), pages 591-614, March.
    3. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.

  5. Alexei Onatski & Chen Wang, 2016. "Alternative Asymptotics for Cointegration Tests in Large VARs," Cambridge Working Papers in Economics 1637, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    2. Chiara Casoli & Riccardo (Jack) Lucchetti, 2022. "Permanent-Transitory decomposition of cointegrated time series via dynamic factor models, with an application to commodity prices [Commodity-price comovement and global economic activity]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 494-514.
    3. Liang, Chong & Schienle, Melanie, 2019. "Determination of vector error correction models in high dimensions," Working Paper Series in Economics 124, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    4. Gianluca Cubadda & Marco Mazzali, 2024. "The vector error correction index model: representation, estimation and identification," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 126-150.
    5. Gonzalo, Jesús & Pitarakis, Jean-Yves, 2021. "Spurious relationships in high-dimensional systems with strong or mild persistence," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1480-1497.
    6. Chudik, A. & Pesaran, H. & Mohaddes, K., 2018. "Identifying Global and National Output and Fiscal Policy Shocks Using a GVAR," Cambridge Working Papers in Economics 1874, Faculty of Economics, University of Cambridge.
    7. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    8. Rui Fan & Ji Hyung Lee & Youngki Shin, 2021. "Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach," Papers 2101.11568, arXiv.org, revised Dec 2022.
    9. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    10. Morten {O}rregaard Nielsen & Won-Ki Seo & Dakyung Seong, 2023. "Inference on common trends in functional time series," Papers 2312.00590, arXiv.org, revised May 2024.
    11. Morten Ørregaard Nielsen & Wonk-ki Seo & Dakyung Seong, 2022. "Inference on the dimension of the nonstationary subspace in functional time series," CREATES Research Papers 2022-04, Department of Economics and Business Economics, Aarhus University.
    12. Onatski, Alexei & Wang, Chen, 2019. "Extreme canonical correlations and high-dimensional cointegration analysis," Journal of Econometrics, Elsevier, vol. 212(1), pages 307-322.
    13. Georg Keilbar & Yanfen Zhang, 2021. "On cointegration and cryptocurrency dynamics," Digital Finance, Springer, vol. 3(1), pages 1-23, March.
    14. Escribano, Alvaro & Peña, Daniel & Ruiz, Esther, 2021. "30 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1333-1337.
    15. Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "Econometric Inference for High Dimensional Predictive Regressions," Papers 2409.10030, arXiv.org, revised Nov 2024.
    16. Anna Bykhovskaya & Vadim Gorin, 2022. "Asymptotics of Cointegration Tests for High-Dimensional VAR($k$)," Papers 2202.07150, arXiv.org, revised Nov 2023.
    17. Anna Bykhovskaya & Vadim Gorin, 2020. "Cointegration in large VARs," Papers 2006.14179, arXiv.org, revised Dec 2021.

  6. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2012. "Signal Detection in High Dmension: The Multispiked Case," Working Papers ECARES ECARES 2012-036, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Badi Baltagi & Chihwa Kao & Fa wang, 2016. "Asymptotic Power of the Sphericity Test Under Weak and Strong Factors in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 189, Center for Policy Research, Maxwell School, Syracuse University.
    2. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Christine Cutting & Davy Paindaveine & Thomas Verdebout, 2015. "Testing Uniformity on High-Dimensional Spheres against Contiguous Rotationally Symmetric Alternatives," Working Papers ECARES ECARES 2015-04, ULB -- Universite Libre de Bruxelles.
    4. Anders Bredahl Kock & David Preinerstorfer, 2019. "Power in High‐Dimensional Testing Problems," Econometrica, Econometric Society, vol. 87(3), pages 1055-1069, May.

  7. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2011. "Asymptotic Power of Sphericity Tests for High-Dimensional Data," Working Papers ECARES ECARES 2011-018, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Guo, Wenwen & Cui, Hengjian, 2019. "Projection tests for high-dimensional spiked covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 21-32.
    2. Badi Baltagi & Chihwa Kao & Fa wang, 2016. "Asymptotic Power of the Sphericity Test Under Weak and Strong Factors in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 189, Center for Policy Research, Maxwell School, Syracuse University.
    3. Peng, Bin & Shen, Xinyuan & Ye, Jinqi, 2019. "Testing for sphericity in a fixed effects panel data model with time-varying variances," Economics Letters, Elsevier, vol. 181(C), pages 85-89.
    4. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.
    5. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    6. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
    7. Wei Lan & Ronghua Luo & Chih-Ling Tsai & Hansheng Wang & Yunhong Yang, 2015. "Testing the Diagonality of a Large Covariance Matrix in a Regression Setting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 76-86, January.
    8. Laurent Gobillon & François-Charles Wolff, 2017. "The local effects of an innovation: Evidence from the French fish market," Working Papers halshs-01431160, HAL.
    9. Li, Weiming & Qin, Yingli, 2014. "Hypothesis testing for high-dimensional covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 108-119.
    10. Moreira, Humberto & Moreira, Marcelo J., 2019. "Optimal two-sided tests for instrumental variables regression with heteroskedastic and autocorrelated errors," Journal of Econometrics, Elsevier, vol. 213(2), pages 398-433.
    11. Muni S. Srivastava & Hirokazu Yanagihara & Tatsuya Kubokawa, 2014. "Tests for Covariance Matrices in High Dimension with Less Sample Size," CIRJE F-Series CIRJE-F-933, CIRJE, Faculty of Economics, University of Tokyo.
    12. Wang, Cheng, 2014. "Asymptotic power of likelihood ratio tests for high dimensional data," Statistics & Probability Letters, Elsevier, vol. 88(C), pages 184-189.
    13. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    14. Christine Cutting & Davy Paindaveine & Thomas Verdebout, 2015. "Testing Uniformity on High-Dimensional Spheres against Contiguous Rotationally Symmetric Alternatives," Working Papers ECARES ECARES 2015-04, ULB -- Universite Libre de Bruxelles.
    15. Anders Bredahl Kock & David Preinerstorfer, 2019. "Power in High‐Dimensional Testing Problems," Econometrica, Econometric Society, vol. 87(3), pages 1055-1069, May.
    16. Jamshid Namdari & Debashis Paul & Lili Wang, 2021. "High-Dimensional Linear Models: A Random Matrix Perspective," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 645-695, August.
    17. Laurent Gobillon & François-Charles Wolff, 2015. "Évaluer l’effet des politiques publiques locales avec les contrôles synthétiques et les modèles à facteurs : Une application au marché du poisson français," Working Papers halshs-01183455, HAL.
    18. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2012. "Signal Detection in High Dmension: The Multispiked Case," Working Papers ECARES ECARES 2012-036, ULB -- Universite Libre de Bruxelles.
    19. Davy Paindaveine & Thomas Verdebout, 2013. "Universal Asymptotics for High-Dimensional Sign Tests," Working Papers ECARES ECARES 2013-40, ULB -- Universite Libre de Bruxelles.

  8. Marc Henry & Alexei Onatski, 2011. "Set Coverage and Robust Policy," CIRANO Working Papers 2011s-61, CIRANO.

    Cited by:

    1. Lukáš Lafférs, 2015. "Bounding average treatment effects using linear programming," CeMMAP working papers 70/15, Institute for Fiscal Studies.
    2. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
    3. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
    5. Marc Henry & Romuald Méango & Maurice Queyranne, 2012. "Combinatorial Bootstrap Inference IN in Prtially Identified Incomplete Structural Models," CIRJE F-Series CIRJE-F-837, CIRJE, Faculty of Economics, University of Tokyo.
    6. Galichon, Alfred & Henry, Marc, 2013. "Dilation bootstrap," Journal of Econometrics, Elsevier, vol. 177(1), pages 109-115.

  9. Alexei Onatski & Francisco J. Ruge-Murcia, 2010. "Factor Analysis of a Large DSGE Model," Working Paper series 50_10, Rimini Centre for Economic Analysis.

    Cited by:

    1. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    2. Francisco J. Ruge-Murcia & Alexander L. Wolman, 2022. "Relative Price Shocks and Inflation," Working Paper 22-07, Federal Reserve Bank of Richmond.

  10. Onatski, Alexei & Uhlig, Harald, 2009. "Unit Roots in White Noise," MPRA Paper 14057, University Library of Munich, Germany.

    Cited by:

    1. James A. Duffy & Jerome R. Simons, 2020. "Cointegration without Unit Roots," Papers 2002.08092, arXiv.org, revised Apr 2023.
    2. Jurgen A. Doornik & Rocco Mosconi & Paolo Paruolo, 2017. "Formula I(1) and I(2): Race Tracks for Likelihood Maximization Algorithms of I(1) and I(2) Cointegrated VAR Models," Econometrics, MDPI, vol. 5(4), pages 1-30, November.
    3. Stephan B. Bruns & Zsuzsanna Csereklyei & David I. Stern, 2018. "A Multicointegration Model of Global Climate Change," CCEP Working Papers 1801, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.

  11. Andrew T. Levin & Alexei Onatski & John C. Williams & Noah Williams, 2005. "Monetary Policy Under Uncertainty in Micro-Founded Macroeconometric Models," NBER Working Papers 11523, National Bureau of Economic Research, Inc.

    Cited by:

    1. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    2. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    3. Givens, Gregory E., 2009. "Which price level to target? Strategic delegation in a sticky price and wage economy," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 685-698, December.
    4. Mr. Paul L Levine & Joseph G Pearlman & Nicoletta Batini, 2009. "“Monetary and Fiscal Rules in an Emerging Small Open Economy”," IMF Working Papers 2009/022, International Monetary Fund.
    5. Shigeto Kitano & Kenya Takaku, 2014. "Monetary Policy, Incomplete Asset Markets, and Welfare in a Small Open Economy," Discussion Paper Series DP2014-39, Research Institute for Economics & Business Administration, Kobe University.
    6. Svensson, Lars E. O. & Williams, Noah, 2005. "Monetary policy with model uncertainty: distribution forecast targeting," Discussion Paper Series 1: Economic Studies 2005,35, Deutsche Bundesbank.
    7. Eric Swanson, 2015. "A Macroeconomic Model of Equities and Real, Nominal, and Defaultable Debt," 2015 Meeting Papers 273, Society for Economic Dynamics.
    8. Cantelmo, Alessandro & Melina, Giovanni, 2023. "Sectoral labor mobility and optimal monetary policy," Macroeconomic Dynamics, Cambridge University Press, vol. 27(1), pages 1-26, January.
    9. Saijo, Hikaru, 2017. "The uncertainty multiplier and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 1-25.
    10. Guido Ascari & Andrea Colciago & Lorenza Rossi, 2016. "Determinacy analysis in high order dynamic systems: The case of nominal rigidities and limited asset market participation," Working Papers 334, University of Milano-Bicocca, Department of Economics, revised 13 May 2016.
    11. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2010. "Welfare‐maximizing monetary policy under parameter uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 129-143, January.
    12. Huang, Kevin X.D. & Meng, Qinglai & Xue, Jianpo, 2009. "Is forward-looking inflation targeting destabilizing? The role of policy's response to current output under endogenous investment," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 409-430, February.
    13. Givens, Gregory E., 2011. "Unemployment insurance in a sticky-price model with worker moral hazard," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1192-1214, August.
    14. Huang, Kevin X.D. & Meng, Qinglai, 2012. "Increasing returns and unsynchronized wage adjustment in sunspot models of the business cycle," Journal of Economic Theory, Elsevier, vol. 147(1), pages 284-309.
    15. Mishkin, Frederic S., 2017. "Rethinking monetary policy after the crisis," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 252-274.
    16. Helge Braun, 2006. "(Un)Employment Dynamics: The Case of Monetary Policy Shocks," 2006 Meeting Papers 87, Society for Economic Dynamics.
    17. Stephanie Schmitt-Grohe & Martin Uribe, 2008. "Policy implications of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 435-465.
    18. Dennis, Richard, 2010. "When is discretion superior to timeless perspective policymaking?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 266-277, April.
    19. Vogel, Lukas, 2008. "Interacting nominal and real labour market rigidities," MPRA Paper 22647, University Library of Munich, Germany, revised May 2010.
    20. Iiboshi, Hirokuni & Nishiyama, Shin-Ichi & Watanabe, Toshiaki, 2006. "An Estimated Dynamic Stochastic General Equilibrium Model of the Japanese Economy: A Bayesian Analysis," MPRA Paper 85702, University Library of Munich, Germany.
    21. Charlotta Groth & Hashmat Khan, 2010. "Investment Adjustment Costs: An Empirical Assessment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1469-1494, December.
    22. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi.
    23. Jalali-Naini, Ahmad Reza & Naderian, Mohammad Amin, 2020. "Financial vulnerability, fiscal procyclicality and inflation targeting in developing commodity exporting economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 84-97.
    24. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2010. "Measuring Potential Growth with an Estimated DSGE Model of Japan's Economy," Bank of Japan Working Paper Series 10-E-13, Bank of Japan.
    25. Plasmans, J.E.J. & Fornero, J. & Michalak, T., 2007. "A Microfounded Sectoral Model for Open Economies," Other publications TiSEM 0fa43989-a96a-4c17-86de-e, Tilburg University, School of Economics and Management.
    26. Welz, Peter, 2006. "Assessing predetermined expectations in the standard sticky-price model: a Bayesian approach," Working Paper Series 621, European Central Bank.
    27. Paustian, Matthias & Stoltenberg, Christian, 2008. "Optimal interest rate stabilization in a basic sticky-price model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3166-3191, October.
    28. Inoue, Atsushi & Kuo, Chun-Hung & Rossi, Barbara, 2020. "Identifying the sources of model misspecification," Journal of Monetary Economics, Elsevier, vol. 110(C), pages 1-18.
    29. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    30. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    31. Miguel Casares & Antonio Moreno & Jesús Vázquez, 2009. "Wage Stickiness and Unemployment Fluctuations: An Alternative Approach," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0902, Departamento de Economía - Universidad Pública de Navarra.
    32. Yuriy Gorodnichenko & Johannes Wieland & Olivier Coibion, 2012. "The Optimal Inflation Rate in New Keynesian Models: Should Central Banks Raise Their Inflation Targets in Light of the Zero Lower Bound?," 2012 Meeting Papers 70, Society for Economic Dynamics.
    33. Alexander Kriwoluzky & Christian A. Stoltenberg, 2016. "Nested Models and Model Uncertainty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(2), pages 324-353, April.
    34. Glenn D. Rudebusch & Eric T. Swanson, 2008. "Examining the bond premium puzzle with a DSGE model," Working Paper Series 2007-25, Federal Reserve Bank of San Francisco.
    35. Stephane Auray & Paul Gomme & Shen Guo, 2011. "Nominal Rigidities, Monetary Policy and Pigou Cycles," Working Papers 11007, Concordia University, Department of Economics, revised Nov 2011.
    36. Giorgio Primiceri & Andrea Tambalotti & Alejandro Justiniano, 2011. "Is there a trade-off between inflation and output stabilization?," 2011 Meeting Papers 280, Society for Economic Dynamics.
    37. Masashige Hamano & Munechika Katayama, 2021. "Epidemics and Macroeconomic Dynamics," Working Papers e162, Tokyo Center for Economic Research.
    38. Germano Ruisi, 2020. "An Assessment of the Macroeconomic Implications of Foreign and Domestic Labour Supply Shocks in Malta," CBM Working Papers WP/06/2020, Central Bank of Malta.
    39. Klaus Schmidt-Hebbel & Carl E. Walsh, 2009. "Monetary Policy under Uncertainty and Learning: An Overview," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 1, pages 001-025, Central Bank of Chile.
    40. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    41. Philip Arestis & Alexander Mihailov, 2008. "Classifying Monetary Economics: Fields and Methods from Past to Future," Economics Discussion Papers em-dp2008-64, Department of Economics, University of Reading.
    42. Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account For The Influence Of Foreign Disturbances?," CAMA Working Papers 2006-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    43. David de la Croix & Gregory de Walque & Rafael Wouters, 2006. "Dynamics and monetary policy in a fair wage model of the business cycle," Working Paper Research 98, National Bank of Belgium.
    44. Munechika Katayama, 2013. "Declining Effects of Oil Price Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 977-1016, September.
    45. Levine, Paul & McAdam, Peter & Pearlman, Joseph, 2012. "Probability models and robust policy rules," European Economic Review, Elsevier, vol. 56(2), pages 246-262.
    46. Lawrence Christiano & Roberto Motto & Massimo Rostagno, 2007. "Two Reasons Why Money and Credit May be Useful in Monetary Policy," NBER Working Papers 13502, National Bureau of Economic Research, Inc.
    47. John B. Taylor & John C. Williams, 2010. "Simple and Robust Rules for Monetary Policy," NBER Working Papers 15908, National Bureau of Economic Research, Inc.
    48. Davide Debortoli & Jinill Kim & Jesper Linde & Ricardo Nunes, 2016. "Designing a Simple Loss Function for the Fed: Does the Dual Mandate Make Sense?," Discussion Paper Series 1601, Institute of Economic Research, Korea University.
    49. EO, Yunjong & LIE, Denny, 2017. "The Role of Inflation Target Adjustment in Stabilization Policy," Discussion paper series HIAS-E-58, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    50. Stephanie Schmitt-Grohe & Martin Uribe, 2010. "The Optimal Rate of Inflation," NBER Working Papers 16054, National Bureau of Economic Research, Inc.
    51. IWATA Yasuharu, 2009. "Fiscal Policy in an Estimated DSGE Model of the Japanese Economy: Do Non-Ricardian Households Explain All?," ESRI Discussion paper series 216, Economic and Social Research Institute (ESRI).
    52. Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
    53. Ricardo Reis, 2009. "A Sticky-Information General-Equilibrium Model for Policy Analysis," NBER Working Papers 14732, National Bureau of Economic Research, Inc.
    54. Grzegorz Wesołowski, 2021. "Monetary Policy and House Price Volatility," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 359-379, December.
    55. Shu-Chun S. Yang & Nora Traum, 2011. "When Does Government Debt Crowd Out Investment?," 2011 Meeting Papers 479, Society for Economic Dynamics.
    56. YANO Koiti, 2009. "Dynamic Stochastic General Equilibrium Models Under a Liquidity Trap and Self-organizing State Space Modeling," ESRI Discussion paper series 206, Economic and Social Research Institute (ESRI).
    57. R. Anton Braun & Tomoyuki Nakajima, 2012. "Uninsured Countercyclical Risk: An Aggregation Result And Application To Optimal Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1450-1474, December.
    58. David Amirault & Paul Fenton & Thérèse Laflèche, 2013. "Asking About Wages: Results from the Bank of Canada’s Wage Setting Survey of Canadian Companies," Discussion Papers 13-1, Bank of Canada.
    59. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
    60. Uhlig, Harald, 2007. "Monetary policy in Europe vs the US: what explains the difference?," MPRA Paper 14119, University Library of Munich, Germany.
    61. Stephanie Schmitt-Grohe & Martin Uribe, 2007. "Optimal simple and implementable monetary and fiscal rules," FRB Atlanta Working Paper 2007-24, Federal Reserve Bank of Atlanta.
    62. John Tsoukala & Hashmat Khan, 2010. "Investment Shocks and the Comovement Problem," Discussion Papers 10/09, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    63. Andrea Gerali & Alberto Locarno & Alessandro Notarpietro & Massimiliano Pisani, 2015. "Every cloud has a silver lining. The sovereign crisis and Italian potential output," Temi di discussione (Economic working papers) 1010, Bank of Italy, Economic Research and International Relations Area.
    64. Arnoud Stevens, 2015. "Optimal monetary policy response to endogenous oil price fluctuations," Working Paper Research 277, National Bank of Belgium.
    65. Willem H. Buiter, 2008. "Central banks and financial crises," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 495-633.
    66. Martin Melecky & Diego Rodríguez Palenzuela & Ulf Söderström, 2008. "Inflation Target Transparency and the Macroeconomy," Working Papers Central Bank of Chile 490, Central Bank of Chile.
    67. Gabriel Bruneau & Ian Christensen & Césaire Meh, 2016. "Housing Market Dynamics and Macroprudential Policy," Staff Working Papers 16-31, Bank of Canada.
    68. Givens, Gregory, 2015. "On the Gains from Monetary Policy Commitment under Deep Habits," MPRA Paper 67996, University Library of Munich, Germany.
    69. Wieland, Volker & Taylor, John B., 2010. "Surprising comparative properties of monetary models: Results from a new model database," Working Paper Series 1261, European Central Bank.
    70. Gavin, William T. & Keen, Benjamin D. & Pakko, Michael R., 2009. "Inflation Risk And Optimal Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S1), pages 58-75, May.
    71. Avouyi-Dovi, Sanvi & Sahuc, Jean-Guillaume, 2011. "On the welfare costs of misspecified monetary policy objectives," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 151-161, June.
    72. Sergio A. Lago Alves, 2012. "Trend Inflation and the Unemployment Volatility Puzzle," Working Papers Series 277, Central Bank of Brazil, Research Department.
    73. von Hagen, Jurgen & Paustian, Matthias, 2008. "The Role of Contracting Schemes for Assessing the Welfare Costs of Nominal Rigidities," CEPR Discussion Papers 6726, C.E.P.R. Discussion Papers.
    74. Pfister, C., 2007. "Labour market flexibility: what does Banque de France research tell us?," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 10, pages 79-93, Winter.
    75. Paustian, Matthias & von Hagen, Jürgen, 2012. "How relevant are nominal contracting schemes for monetary policy?," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 723-740.
    76. Fabrice Collard & Harris Dellas & Behzad Diba & Olivier Loisel, 2012. "Optimal Monetary and Prudential Policies," Working Papers 2012-34, Center for Research in Economics and Statistics.
    77. Giorgio Primiceri & Alejandro Justiniano, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," 2006 Meeting Papers 353, Society for Economic Dynamics.
    78. Stéphane Auray & Aurélien Eyquem, 2014. "Welfare Reversals in a Monetary Union," Post-Print halshs-00957984, HAL.
    79. P. Andrade & J. Galí & H. Le Bihan & J. Matheron, 2018. "The Optimal Inflation Target and the Natural Rate of Interest," Working papers 670, Banque de France.
    80. Christian Keuschnigg & Julian Johs & Jacob Stevens, 2021. "Consolidating the Covid Debt," CESifo Working Paper Series 9497, CESifo.
    81. Sanjay K. Chugh, 2006. "Optimal Fiscal and Monetary Policy with Sticky Wages and Sticky Prices," Computing in Economics and Finance 2006 228, Society for Computational Economics.
    82. Dennis, Richard & Leitemo, Kai & Söderström, Ulf, 2009. "Methods for robust control," Journal of Economic Dynamics and Control, Elsevier, vol. 33(8), pages 1604-1616, August.
    83. Richard Dennis & Federico Ravenna, 2007. "Learning and optimal monetary policy," Working Paper Series 2007-19, Federal Reserve Bank of San Francisco.
    84. Dellas, H. & Diba, B. & Loisel, O., 2010. "Financial Shocks and Optimal Policy," Working papers 277, Banque de France.
    85. Levin, Andrew T. & Moessner, Richhild, 2005. "Inflation persistence and monetary policy design: an overview," Working Paper Series 539, European Central Bank.
    86. Leonardo Auernheimer & Danilo Trupkin, 2014. "The Role of Inventories and Capacity Utilization as Shock Absorbers," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 70-85, January.
    87. Yasuo Hirose & Takushi Kurozumi, 2010. "Do Investment-Specific Technological Changes Matter for Business Fluctuations? Evidence from Japan," Bank of Japan Working Paper Series 10-E-4, Bank of Japan.
    88. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    89. Sohei Kaihatsu & Takushi Kurozumi, 2010. "Sources of Business Fluctuations: Financial or Technology Shocks?," Bank of Japan Working Paper Series 10-E-12, Bank of Japan.
    90. Maria Demertzis & Alexander F. Tieman, 2007. "Dealing With Uncertainty: Robust Rules In Monetary Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(2), pages 295-307, May.
    91. Andrew T. Levin & J. David López-Salido & Edward Nelson & Tack Yun, 2008. "Macroeconometric equivalence, microeconomic dissonance, and the design of monetary policy," Working Papers 2008-035, Federal Reserve Bank of St. Louis.
    92. Antonella Trigari, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 304, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    93. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    94. Teo, Wing Leong, 2011. "Inventories and optimal monetary policy in a small open economy," Journal of International Money and Finance, Elsevier, vol. 30(8), pages 1719-1748.
    95. Andrea Colciago, 2011. "Rule-of-Thumb Consumers Meet Sticky Wages," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 325-353, March.
    96. Davide Debortoli & Jinill Kim & Jesper Lindé & Ricardo Nunes, 2019. "Designing a Simple Loss Function for Central Banks: Does a Dual Mandate Make Sense?," The Economic Journal, Royal Economic Society, vol. 129(621), pages 2010-2038.
    97. Verona, Fabio & Martins, Manuel M. F. & Drumond, Inês, 2013. "(Un)anticipated monetary policy in a DSGE model with a shadow banking system," Bank of Finland Research Discussion Papers 4/2013, Bank of Finland.
    98. Rita Duarte, 2009. "The dynamic effects of shocks to wages and prices in the United States and the Euro Area," Working Papers w200915, Banco de Portugal, Economics and Research Department.
    99. Thore Kockerols & Erling Motzfeldt Kravik & Yasin Mimir, 2021. "Leaning against persistent financial cycles with occasional crises," Working Paper 2021/11, Norges Bank.
    100. Juan Pablo Medina & Claudio Soto, 2005. "Oil Shocks and Monetary Policy in an Estimated DSGE Model for a Small Open Economy," Working Papers Central Bank of Chile 353, Central Bank of Chile.
    101. Christiano, Lawrence & Motto, Roberto & Rostagno, Massimo, 2010. "Financial factors in economic fluctuations," Working Paper Series 1192, European Central Bank.
    102. J. Scott Davis & Kevin X. D. Huang, 2011. "Optimal monetary policy under financial sector risk," Globalization Institute Working Papers 85, Federal Reserve Bank of Dallas.
    103. Shigeto Kitano & Kenya Takaku, 2018. "Capital Controls, Monetary Policy, And Balance Sheets In A Small Open Economy," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 859-874, April.
    104. Mayumi Ojima & Junnosuke Shino & Kozo Ueda, 2014. "Buyer-Size Discounts and Inflation Dynamics," Working Papers e071, Tokyo Center for Economic Research.
    105. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2020. "Online Appendix to "Output Gap, Monetary Policy Trade-offs, and Financial Frictions"," Online Appendices 20-29, Review of Economic Dynamics.
    106. IIBOSHI Hirokuni, 2012. "Measuring the Effects of Monetary Policy: A DSGE-DFM Approach," ESRI Discussion paper series 292, Economic and Social Research Institute (ESRI).
    107. Stanley Fischer, 2008. "General discussion : the role of liquidity in financial crises," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 423-430.
    108. Malin Adolfson & Stefan Laseen & Jesper Lindé & Lars E. O. Svensson, 2011. "Optimal monetary policy in an operational medium-sized DSGE model," International Finance Discussion Papers 1023, Board of Governors of the Federal Reserve System (U.S.).
    109. Schmitt-Grohé, Stephanie & Uribe, Martín, 2006. "Optimal fiscal and monetary policy in a medium-scale macroeconomic model," Working Paper Series 612, European Central Bank.
    110. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    111. Di Bartolomeo, Giovanni & Tirelli, Patrizio & Acocella, Nicola, 2012. "Inflation targets and endogenous wage markups in a New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 391-403.
    112. Bask, Mikael, 2007. "Optimal monetary policy in a hybrid New Keynesian model with a cost channel," Bank of Finland Research Discussion Papers 24/2007, Bank of Finland.
    113. Junhee Lee & Wooheon Rhee, 2013. "Financial Factors in the Business Cycle of a Small Open Economy: The Case of Korea," Open Economies Review, Springer, vol. 24(5), pages 881-900, November.
    114. Yasuo Hirose & Saori Naganuma, 2007. "Structural Estimation of the Output Gap: A Bayesian DSGE Approach for the U.S. Economy," Bank of Japan Working Paper Series 07-E-24, Bank of Japan.
    115. Daniel O. Beltran & David Draper, 2018. "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(2), pages 501-520, February.
    116. Adjemian, Stéphane & Darracq Pariès, Matthieu & Moyen, Stéphane, 2008. "Towards a monetary policy evaluation framework," Working Paper Series 942, European Central Bank.
    117. Paul Levine, 2012. "Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 70-88, April.
    118. Givens, Gregory, 2019. "Unemployment, Partial Insurance, and the Multiplier Effects of Government Spending," MPRA Paper 96811, University Library of Munich, Germany.
    119. Sala, Luca & Söderström, Ulf & Trigari, Antonella, 2010. "The Output Gap, the Labor Wedge, and the Dynamic Behavior of Hours," CEPR Discussion Papers 8005, C.E.P.R. Discussion Papers.
    120. Uribe, Martín & Schmitt-Grohé, Stephanie, 2005. "Optimal Inflation Stabilization in a Medium-Scale Macroeonomic Model," CEPR Discussion Papers 5424, C.E.P.R. Discussion Papers.
    121. Frederic S. Mishkin, 2009. "Is Monetary Policy Effective during Financial Crises?," American Economic Review, American Economic Association, vol. 99(2), pages 573-577, May.
    122. S. Boragan Aruoba & Frank Schorfheide, 2009. "Sticky prices versus monetary frictions: an estimation of policy trade-offs," Working Papers 09-8, Federal Reserve Bank of Philadelphia.
    123. Kara, Engin, 2010. "Optimal monetary policy in the generalized Taylor economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2023-2037, October.
    124. 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.
    125. N. Gregory Mankiw & Ricardo Reis, 2007. "Sticky Information in General Equilibrium," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 603-613, 04-05.
    126. Richhild Moessner, 2006. "Optimal discretionary policy in rational expectations models with regime switching," Bank of England working papers 299, Bank of England.
    127. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2008. "Inflation Dynamics and Labor Adjustments in Japan: A Bayesian DSGE Approach," Bank of Japan Working Paper Series 08-E-9, Bank of Japan.
    128. Wieland, Volker & Küster, Keith, 2005. "Insurance Policies for Monetary Policy in the Euro Area," CEPR Discussion Papers 4956, C.E.P.R. Discussion Papers.
    129. Huw Dixon & Engin Kara, 2011. "Taking Multi-Sector Dynamic General Equilibrium Models to the Data," Bristol Economics Discussion Papers 11/621, School of Economics, University of Bristol, UK.
    130. Gomez Ospina, Monica A., 2023. "Optimal monetary policy in developing countries: The role of informality," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    131. Emi Nakamura & Jón Steinsson, 2013. "Price Rigidity: Microeconomic Evidence and Macroeconomic Implications," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 133-163, May.
    132. Fabio Verona, 2011. "Lumpy investment in sticky information general equilibrium," CEF.UP Working Papers 1102, Universidade do Porto, Faculdade de Economia do Porto.
    133. Martha R. López & Juan David Prada, 2009. "Optimal Monetary Policy and Asset Prices: the case of Colombia," Borradores de Economia 583, Banco de la Republica de Colombia.
    134. Harald Uhlig, 2007. "Monetary Policy in Europe versus the United States: What Explains the Difference?," NBER Chapters, in: International Dimensions of Monetary Policy, pages 489-533, National Bureau of Economic Research, Inc.
    135. Mathias Trabandt & Karl Walentin & Lawrence J. Christiano, 2008. "Introducing Financial Frictions and Unemployment into a Small Open Economy Model," 2008 Meeting Papers 423, Society for Economic Dynamics.
    136. Bask, Mikael & Proaño, Christian R., 2016. "Optimal monetary policy under learning and structural uncertainty in a New Keynesian model with a cost channel and inflation inertia," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 112-126.
    137. Zheng Liu, 2009. "Sources of the Great Moderation: Shocks, Frictions, or Monetary Policy?," 2009 Meeting Papers 379, Society for Economic Dynamics.
    138. Alejandro Justiniano & Bruce Preston, 2010. "Monetary policy and uncertainty in an empirical small open-economy model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 93-128.
    139. Valery Charnavoki, 2019. "International Risk-Sharing and Optimal Monetary Policy in a Small Commodity-Exporting Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 3-27, June.
    140. Matthew B. Canzoneri & Robert E. Cumby & Behzad T. Diba, 2007. "The Cost of Nominal Rigidity in NNS Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1563-1586, October.
    141. Jean-Marc Natal, 2009. "Monetary policy response to oil price shocks," Working Paper Series 2009-16, Federal Reserve Bank of San Francisco.
    142. Levine, Paul & Pearlman, Joseph, 2011. "Monetary and Fiscal Policy in a DSGE Model of India," Working Papers 11/96, National Institute of Public Finance and Policy.
    143. Hiroki Arato, 2009. "Optimal Operational Monetary Policy Rules in an Endogenous Growth Model: a calibrated analysis," KIER Working Papers 663, Kyoto University, Institute of Economic Research.
    144. Lechthaler, Wolfgang, 2016. "Protectionism in a liquidity trap," Economics Letters, Elsevier, vol. 145(C), pages 165-167.
    145. Pablo A. Guerron, 2007. "What You Match Does Matter: The Effects of Data on DSGE Estimation," Working Paper Series 012, North Carolina State University, Department of Economics.
    146. Heckel, Thomas & Le Bihan, Hervé & Montornès, Jérémi, 2008. "Sticky wages: evidence from quarterly microeconomic data," Working Paper Series 893, European Central Bank.
    147. S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-time macroeconomic monitoring: real activity, inflation, and interactions," Working Papers 10-5, Federal Reserve Bank of Philadelphia.
    148. Hikaru Saijo, 2014. "The Uncertainty Multiplier and Business Cycles," Working Papers e067, Tokyo Center for Economic Research.
    149. Levin, Andrew T. & Coenen, Günter, 2004. "Identifying the influences of nominal and real rigidities in aggregate price-setting behavior," Working Paper Series 418, European Central Bank.
    150. Vasco Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2010. "An Estimated DSGE Model of the Indian Economy," School of Economics Discussion Papers 1210, School of Economics, University of Surrey.
    151. Andrew T. Levin, 2008. "Commentary on \\"Optimal monetary policy under uncertainty: a Markov jump-linear-quadratic approach\\"," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 301-306.
    152. Günter Coenen & Giovanni Lombardo & Frank Smets & Roland Straub, 2007. "International Transmission and Monetary Policy Cooperation," NBER Chapters, in: International Dimensions of Monetary Policy, pages 157-192, National Bureau of Economic Research, Inc.
    153. Glenn D. Rudebusch & Eric T. Swanson, 2008. "The bond premium in a DSGE model with long-run real and nominal risks," Working Paper Research 143, National Bank of Belgium.
    154. John B. Taylor, 2007. "Thirty-Five Years of Model Building for Monetary Policy Evaluation: Breakthroughs, Dark Ages, and a Renaissance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 193-201, February.
    155. Eiji Okano & Masataka Eguchi & Hiroshi Gunji & Tomomi Miyazaki, 2012. "Optimal Monetary Policy in an Estimated Local Currency Pricing Model," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 39-79, Emerald Group Publishing Limited.
    156. Thomas A. Lubik & Wing Leong Teo, 2009. "Inventories and Optimal Monetary Policy," Discussion Papers 09/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    157. Jalali Naini, Ahmad Reza & Naderian, Mohammad Amin, 2017. "Financial Vulnerability and Stabilization Policy in Commodity Exporting Emerging Economies," MPRA Paper 84481, University Library of Munich, Germany.
    158. Federico Ravenna, 2014. "How Central Banks Learn the True Model of the Economy," Cahiers de recherche 1409, CIRPEE.
    159. Williams, Noah, 2012. "Monetary policy under financial uncertainty," Journal of Monetary Economics, Elsevier, vol. 59(5), pages 449-465.
    160. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2014. "Output Gap in Presence of Financial Frictions and Monetary Policy Trade-offs," IMF Working Papers 2014/128, International Monetary Fund.
    161. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun Vahey, 2008. "RBCs and DSGEs: The Computational Approach to Business Cycle Theory and Evidence," Working Paper 2008/17, Norges Bank.
    162. Kortelainen, Mika, 2007. "Adjustment of the US current account deficit," Bank of Finland Research Discussion Papers 9/2007, Bank of Finland.
    163. McAdam, Peter & Levine, Paul & Pearlman, Joseph G., 2007. "Quantifying and sustaining welfare gains from monetary commitment," Working Paper Series 709, European Central Bank.
    164. Michael Woodford, 2009. "Convergence in Macroeconomics: Elements of the New Synthesis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 267-279, January.
    165. MOONS, Cindy & GARRETSEN, Harry & VAN AARLE, Bas & FORNERO, Jorge, 2007. "Monetary policy in the new-Keynesian model: An application to the Euro-Area," Working Papers 2007014, University of Antwerp, Faculty of Business and Economics.
    166. Nicholas Apergis & Emmanuel Mamatzakis, 2014. "What are the driving factors behind the rise of spreads and CDS of euro-area sovereign bonds? A FAVAR model for Greece and Ireland," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 7(1), pages 104-120.
    167. Paul Levine & Joseph Pearlman & George Perendia & Bo Yang, 2010. "Endogenous Persistence in an Estimated DSGE Model under Imperfect Information," School of Economics Discussion Papers 0310, School of Economics, University of Surrey.
    168. Franklin Allen & Elena Carletti, 2008. "The role of liquidity in financial crises," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 379-412.
    169. Engin Kara, 2009. "Micro data on nominal rigidity, inflation persistence and optimal monetary policy," Working Paper Research 175, National Bank of Belgium.
    170. William C. Whitesell, 2005. "An inflation goal with multiple reference measures," Finance and Economics Discussion Series 2005-62, Board of Governors of the Federal Reserve System (U.S.).
    171. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
    172. Matthew Canzoneri, 2007. "Coordination of Monetary and Fiscal Policy in a Monetary Union: Policy Issues & Analytical Models," Money Macro and Finance (MMF) Research Group Conference 2006 165, Money Macro and Finance Research Group.
    173. Ahrens, Steffen & Hartmann, Matthias, 2014. "State-dependence vs. timedependence: An empirical multi-country investigation of price sluggishness," Kiel Working Papers 1907, Kiel Institute for the World Economy (IfW Kiel).
    174. Kilian, Lutz & Bodenstein, Martin & Guerrieri, Luca, 2012. "Monetary policy responses to oil price fluctuations," CEPR Discussion Papers 8928, C.E.P.R. Discussion Papers.
    175. Juan Paez-Farrell, 2012. "Resuscitating the ad hoc loss function for monetary policy analysis," Discussion Paper Series 2012_06, Department of Economics, Loughborough University, revised Jun 2012.
    176. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.
    177. Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
    178. Naoto Soma, 2021. "Parameter Uncertainty and Effective Lower Bound Risk," IMES Discussion Paper Series 21-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
    179. Philip Jung & Keith Kuester, 2008. "The (un)importance of unemployment fluctuations for welfare," Working Papers 08-31, Federal Reserve Bank of Philadelphia.
    180. Pelin Ilbas, 2012. "Revealing the preferences of the US Federal Reserve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 440-473, April.
    181. Philippe Bacchetta & Eric van Wincoop, 2009. "On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," Working Papers 272009, Hong Kong Institute for Monetary Research.
    182. Sala, Luca & Söderström, Ulf & Trigari, Antonella, 2008. "Monetary Policy Under Uncertainty in an Estimated Model with Labour Market Frictions," CEPR Discussion Papers 6826, C.E.P.R. Discussion Papers.
    183. Anastasios Xepapadeas & Catarina Roseta-Palma, 2013. "Instabilities and robust control in natural resource management," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(3), pages 161-180, December.
    184. Stephanie Schmitt-Grohé & Martín Uribe, 2006. "Optimal Simple and Implementable Monetary and Fiscal Rules: Expanded Version," NBER Working Papers 12402, National Bureau of Economic Research, Inc.
    185. Mr. Cristiano Cantore & Mr. Paul L Levine & Mr. Giovanni Melina, 2013. "A Fiscal Stimulus and Jobless Recovery," IMF Working Papers 2013/017, International Monetary Fund.
    186. Jung, Philip & Kuester, Keith, 2011. "The (un)importance of unemployment fluctuations for the welfare cost of business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1744-1768, October.
    187. Filippo Altissimo & Michael Ehrmann & Frank Smets, 2006. "Inflation persistence and price-setting behaviour in the euro area : a summary of the Inflation Persistence Network evidence," Working Paper Research 95, National Bank of Belgium.
    188. Canzoneri, Matthew & Cumby, Robert & Diba, Behzad, 2010. "The Interaction Between Monetary and Fiscal Policy," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 17, pages 935-999, Elsevier.
    189. Francesco Furlanetto & Paolo Gelain & Marzie Taheri Sanjani, 2017. "Output gap, monetary policy trade-offs and financial frictions," Working Paper 2017/8, Norges Bank.
    190. Hao Jin, 2015. "Foreign Exchange Interventions, Capital Controls and Monetary Policy: The Case of China," CAEPR Working Papers 2015-019, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    191. Adjemian, Stéphane & Darracq Pariès, Matthieu & Moyen, Stéphane, 2007. "Optimal monetary policy in an estimated DSGE for the euro area," Working Paper Series 803, European Central Bank.
    192. Stephanie Schmitt-Grohe & Martin Uribe, 2005. "Optimal Fiscal and Monetary Policy in a Medium-Scale Macroeconomic Model: Expanded Version," NBER Working Papers 11417, National Bureau of Economic Research, Inc.
    193. Gerali, Andrea & Locarno, Alberto & Notarpietro, Alessandro & Pisani, Massimiliano, 2018. "The sovereign crisis and Italy’s potential output," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 418-433.
    194. Mishkin, Frederic S., 2010. "Monetary policy flexibility, risk management, and financial disruptions," Journal of Asian Economics, Elsevier, vol. 21(3), pages 242-246, June.
    195. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    196. Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "DSGE models for monetary policy analysis," FRB Atlanta CQER Working Paper 2010-02, Federal Reserve Bank of Atlanta.
    197. Richard Anton Braun & Tomoyuki Nakajima, 2009. "Optimal monetary policy when asset markets are incomplete," CIRJE F-Series CIRJE-F-679, CIRJE, Faculty of Economics, University of Tokyo.
    198. John C. Williams, 2015. "Monetary policy and the independence dilemma," Speech 136, Federal Reserve Bank of San Francisco.
    199. Ricardo Reis, 2009. "Optimal Monetary Policy Rules in an Estimated Sticky-Information Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(2), pages 1-28, July.
    200. Richard Dennis, 2006. "The frequency of price adjustment and New Keynesian business cycle dynamics," Working Paper Series 2006-22, Federal Reserve Bank of San Francisco.
    201. Sergio A. Lago Alves, 2013. "Is the Divine Coincidence Just a Coincidence? The Implications of Trend Inflation," Working Papers Series 329, Central Bank of Brazil, Research Department.
    202. Tack Yun & J. David Lopez-Salido & Andrew Levin, 2007. "Strategic Complementarities and Optimal Monetary Policy," 2007 Meeting Papers 1016, Society for Economic Dynamics.
    203. Daichi Shirai, 2014. "A note on hump-shaped output in the RBC model," CIGS Working Paper Series 14-009E, The Canon Institute for Global Studies.
    204. Ippei Fujiwara & Yuki Teranishi, 2007. "A Dynamic New Keynesian Life-Cycle Model: Societal Ageing, Demographics and Monetary Policy," IMES Discussion Paper Series 07-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    205. Riccardo DiCecio & Edward Nelson, 2007. "An estimated DSGE model for the United Kingdom," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 215-232.
    206. Sergio A. Lago Alves, 2018. "Monetary Policy, Trend Inflation, and Unemployment Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(4), pages 637-673, June.
    207. Libich Jan, 2011. "Inflation Nutters? Modelling the Flexibility of Inflation Targeting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, June.
    208. Frederic S. Mishkin, 2007. "Will monetary policy become more of a science?," Finance and Economics Discussion Series 2007-44, Board of Governors of the Federal Reserve System (U.S.).
    209. Williams, John C., 2013. "A defense of moderation in monetary policy," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 137-150.
    210. Duval, Romain & Vogel, Lukas, 2007. "How do nominal and real rigidities interact? A tale of the second best," MPRA Paper 7282, University Library of Munich, Germany.
    211. Vasco Gabriel & Paul Levine & Christopher Spencer & Bo Yang, 2008. "On the (ir)relevance of direct supply-side effects of monetary policy," School of Economics Discussion Papers 0408, School of Economics, University of Surrey.
    212. Onmus-Baykal Elif, 2011. "How Costly is CPI Inflation Targeting: A Two Sector Model with No Labor Mobility," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-32, January.
    213. Raimundo Soto & Ibrahim Elbadawi & Isaac Martínez, 2019. "Exports, Exchange Regimes, and Fragility," Documentos de Trabajo 526, Instituto de Economia. Pontificia Universidad Católica de Chile..
    214. Jean-Charles Rochet, 2008. "Commentary : rethinking capital regulation," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 473-483.
    215. Dixon, Huw & Kara, Engin, 2011. "Contract length heterogeneity and the persistence of monetary shocks in a dynamic generalized Taylor economy," European Economic Review, Elsevier, vol. 55(2), pages 280-292, February.
    216. Kevin M. Murphy & Emmanuel Saez, 2015. "Income and Wealth in America," Book Chapters, in: Tom Church & Chris Miller & John B. Taylor (ed.), Inequality & Economic Policy, chapter 6, Hoover Institution, Stanford University.
    217. Daniel O. Beltran & David Draper, 2008. "Estimating the parameters of a small open economy DSGE model: identifiability and inferential validity," International Finance Discussion Papers 955, Board of Governors of the Federal Reserve System (U.S.).
    218. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    219. Bordo, Michael & Erceg, Christopher & Levin, Andrew & Michaels, Ryan, 2017. "Policy credibility and alternative approaches to disinflation," Research in Economics, Elsevier, vol. 71(3), pages 422-440.
    220. Casares, Miguel, 2009. "Wage setting actors and sticky wages: Implications for the business cycle and optimal monetary policy," Economic Modelling, Elsevier, vol. 26(3), pages 571-585, May.
    221. Kriwoluzky, Alexander & Stoltenberg, Christian, 2007. "Optimal policy under model uncertainty: A structural-bayesian estimation approach," SFB 649 Discussion Papers 2007-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    222. Bask, Mikael, 2007. "Long swings and chaos in the exchange rate in a DSGE model with a Taylor rule," Bank of Finland Research Discussion Papers 19/2007, Bank of Finland.
    223. Adjemian, Stéphane & Darracq Pariès, Matthieu & Smets, Frank, 2008. "A quantitative perspective on optimal monetary policy cooperation between the US and the euro area," Working Paper Series 884, European Central Bank.
    224. Paul Levine & Joseph Pearlman & Bo Yang, 2012. "Imperfect Information, Optimal Monetary Policy and Informational Consistency," School of Economics Discussion Papers 1012, School of Economics, University of Surrey.
    225. Nicoletta Batini & Paul Levine & Joseph Pearlman, 2007. "Monetary Rules in Emerging Economies with Financial Market Imperfections," School of Economics Discussion Papers 0807, School of Economics, University of Surrey.
    226. Jonathan J Adams, 2019. "Macroeconomic Models with Incomplete Information and Endogenous Signals," Working Papers 001004, University of Florida, Department of Economics.
    227. Yasuharu Iwata, 2011. "The Government Spending Multiplier and Fiscal Financing: Insights from Japan," International Finance, Wiley Blackwell, vol. 14(2), pages 231-264, June.
    228. Gregory Erin Givens, 2006. "Revisiting the Delegation Problem in a Sticky Price and Wage Economy," Working Papers 200601, Middle Tennessee State University, Department of Economics and Finance.
    229. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    230. Peter R. Fisher, 2008. "Commentary : the role of liquidity in financial crises," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 413-422.
    231. Yongo Kwon, 2019. "Nominal GDP growth indexed bonds: Business Cycle and Welfare Effects within the Framework of New Keynesian DSGE model," National Institute of Economic and Social Research (NIESR) Discussion Papers 504, National Institute of Economic and Social Research.
    232. Katsuhiro Oshima, 2021. "Heterogeneous beliefs, monetary policy, and stock price volatility," Annals of Finance, Springer, vol. 17(1), pages 79-125, March.
    233. Migliardo, Carlo, 2012. "Heterogeneity in price setting behavior, spatial disparities and sectoral diversity: Evidence from a panel of Italian firms," Economic Modelling, Elsevier, vol. 29(4), pages 1106-1118.
    234. Frederic S. Mishkin, 2011. "Monetary Policy Strategy: Lessons from the Crisis," NBER Working Papers 16755, National Bureau of Economic Research, Inc.
    235. Katsuhiro Oshima, 2019. "Subjective Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1012, Kyoto University, Institute of Economic Research.
    236. Paolo Gelain & Simone Manganelli, 2020. "Monetary Policy with Judgment," Working Papers 20-14, Federal Reserve Bank of Cleveland.
    237. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2008. "New Keynesian models: not yet useful for policy analysis," Staff Report 409, Federal Reserve Bank of Minneapolis.
    238. Miguel Casares, 2007. "Wage Setting Actors, StickyWages, and Optimal Monetary Policy," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0701, Departamento de Economía - Universidad Pública de Navarra.
    239. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    240. Carl E. Walsh & Federico Ravenna, 2010. "Business Cycles and Labor Market Flows with Sequential Screening," 2010 Meeting Papers 571, Society for Economic Dynamics.
    241. Federico Ravenna & Carl E. Walsh, 2009. "The welfare consequences of monetary policy," Working Paper Series 2009-12, Federal Reserve Bank of San Francisco.
    242. Peter Tillmann, 2009. "Optimal Monetary Policy with an Uncertain Cost Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 885-906, August.
    243. Klepsch, Catharina & Elsas, Ralf, 2016. "How and when do firms adjust their investments toward targets?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145486, Verein für Socialpolitik / German Economic Association.
    244. YANO Koiti, 2010. "Time-varying Analysis of Dynamic Stochastic General Equilibrium Models Based on Sequential Monte Carlo Methods," ESRI Discussion paper series 231, Economic and Social Research Institute (ESRI).
    245. Levin, Andrew T., 2005. "Comment on: "Endogenous objectives and the evaluation of targeting rules for monetary policy"," Journal of Monetary Economics, Elsevier, vol. 52(5), pages 913-919, July.
    246. Tommy Sveen & Lutz Weinke, 2006. "Firm-specific capital, nominal rigidities, and the Taylor principle," Working Paper 2006/06, Norges Bank.
    247. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.
    248. Roberto Alfonso Montenegro Robles, 2011. "La política monetaria y la brecha del producto," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 3(2), pages 41-47, December.
    249. Dumitriu, Ramona & Stefanescu, Răzvan, 2013. "Decizii strategice ale politicii monetare [Strategic decisions of the Monetary Policy]," MPRA Paper 51242, University Library of Munich, Germany, revised 05 Nov 2013.
    250. M. Murat Arslan, 2013. "Optimal Monetary Policy With The Sticky Information Model Of Price Adjustment: Inflation Or Price-Level Targeting?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 106-129, May.
    251. Sergio A. Lago Alves, 2012. "Optimal Policy When the Inflation Target is not Optimal," Working Papers Series 271, Central Bank of Brazil, Research Department.
    252. Guido Ascari & Andrea Colciago & Lorenza Rossi, 2017. "Limited Asset Market Participation, Sticky Wages, And Monetary Policy," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 878-897, April.
    253. Görtz, Christoph & Tsoukalas, John, 2011. "News and Financial Intermediation in Aggregate Fluctuations," MPRA Paper 34113, University Library of Munich, Germany, revised Oct 2011.
    254. Andrew Levin, 2007. "Comment on "Monetary Policy in Europe versus the United States: What Explains the Difference?"," NBER Chapters, in: International Dimensions of Monetary Policy, pages 533-545, National Bureau of Economic Research, Inc.
    255. Bask, Mikael & Proaño, Christian R, 2012. "Optimal Monetary Policy under Learning in a New Keynesian Model with Cost Channel and Inflation Inertia," Working Paper Series 2012:7, Uppsala University, Department of Economics.
    256. Kurozumi, Takushi, 2010. "Optimal Monetary Policy Under Parameter Uncertainty In A Simple Microfounded Model," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 257-268, April.
    257. Górajski, Mariusz & Kuchta, Zbigniew, 2023. "Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    258. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

  12. A. Onatski & V. Karguine, 2005. "Curve Forecasting by Functional Autoregression," Computing in Economics and Finance 2005 59, Society for Computational Economics.

    Cited by:

    1. Matteo Iacopini & Dominique Guégan, 2018. "Nonparametric Forecasting of Multivariate Probability Density Functions," Working Papers 2018:15, Department of Economics, University of Venice "Ca' Foscari".
    2. Benatia, David & Carrasco, Marine & Florens, Jean-Pierre, 2017. "Functional linear regression with functional response," Journal of Econometrics, Elsevier, vol. 201(2), pages 269-291.
    3. Sven Otto & Nazarii Salish, 2022. "Approximate Factor Models for Functional Time Series," Papers 2201.02532, arXiv.org, revised May 2024.
    4. Blanke, D. & Bosq, D., 2016. "Detecting and estimating intensity of jumps for discretely observed ARMAD(1,1) processes," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 119-137.
    5. Clive Bowsher & Roland Meeks, 2006. "High Dimensional Yield Curves: Models and Forecasting," Economics Series Working Papers 2006-FE-11, University of Oxford, Department of Economics.
    6. Atefeh Zamani & Hossein Haghbin & Maryam Hashemi & Rob J. Hyndman, 2022. "Seasonal functional autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 197-218, March.
    7. Niccol`o Ajroldi & Jacopo Diquigiovanni & Matteo Fontana & Simone Vantini, 2022. "Conformal Prediction Bands for Two-Dimensional Functional Time Series," Papers 2207.13656, arXiv.org, revised Jul 2023.
    8. Horváth, Lajos & Husková, Marie & Kokoszka, Piotr, 2010. "Testing the stability of the functional autoregressive process," Journal of Multivariate Analysis, Elsevier, vol. 101(2), pages 352-367, February.
    9. Goia, Aldo & May, Caterina & Fusai, Gianluca, 2010. "Functional clustering and linear regression for peak load forecasting," International Journal of Forecasting, Elsevier, vol. 26(4), pages 700-711, October.
    10. Philip Nadler & Alessio Sancetta, 2023. "Empirical Asset Pricing with Functional Factors," Journal of Financial Econometrics, Oxford University Press, vol. 21(4), pages 1258-1281.
    11. Rob J. Hyndman & Han Lin Shang, 2008. "Rainbow plots, Bagplots and Boxplots for Functional Data," Monash Econometrics and Business Statistics Working Papers 9/08, Monash University, Department of Econometrics and Business Statistics.
    12. Characiejus, Vaidotas & Rice, Gregory, 2020. "A general white noise test based on kernel lag-window estimates of the spectral density operator," Econometrics and Statistics, Elsevier, vol. 13(C), pages 175-196.
    13. Álvarez-Liébana, J. & Bosq, D. & Ruiz-Medina, M.D., 2017. "Asymptotic properties of a component-wise ARH(1) plug-in predictor," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 12-34.
    14. Horváth, Lajos & Liu, Zhenya & Rice, Gregory & Wang, Shixuan, 2020. "A functional time series analysis of forward curves derived from commodity futures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 646-665.
    15. Clive G. Bowsher & Roland Meeks, 2008. "The dynamics of economics functions: modelling and forecasting the yield curve," Working Papers 0804, Federal Reserve Bank of Dallas.
    16. Horváth, Lajos & Hušková, Marie & Rice, Gregory, 2013. "Test of independence for functional data," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 100-119.
    17. Ajroldi, Niccolò & Diquigiovanni, Jacopo & Fontana, Matteo & Vantini, Simone, 2023. "Conformal prediction bands for two-dimensional functional time series," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
    18. Daniel R. Kowal & David S. Matteson & David Ruppert, 2019. "Functional Autoregression for Sparsely Sampled Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 97-109, January.
    19. Gabrys Robertas & Hörmann Siegfried & Kokoszka Piotr, 2013. "Monitoring the Intraday Volatility Pattern," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 87-116, July.
    20. Battey, Heather & Sancetta, Alessio, 2013. "Conditional estimation for dependent functional data," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 1-17.
    21. Haixu Wang & Jiguo Cao, 2023. "Nonlinear prediction of functional time series," Environmetrics, John Wiley & Sons, Ltd., vol. 34(5), August.
    22. Zhang, Xianyang, 2016. "White noise testing and model diagnostic checking for functional time series," Journal of Econometrics, Elsevier, vol. 194(1), pages 76-95.
    23. Almeida, Caio Ibsen Rodrigues de & Vicente, José, 2007. "The role of no-arbitrage on forecasting: lessons from a parametric term structure model," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 657, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    24. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    25. Lajos Horváth & Zhenya Liu & Curtis Miller & Weiqing Tang, 2024. "Breaks in term structures: Evidence from the oil futures markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2317-2341, April.
    26. Devin Didericksen & Piotr Kokoszka & Xi Zhang, 2012. "Empirical properties of forecasts with the functional autoregressive model," Computational Statistics, Springer, vol. 27(2), pages 285-298, June.
    27. Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
    28. Gregory Rice & Han Lin Shang, 2017. "A Plug-in Bandwidth Selection Procedure for Long-Run Covariance Estimation with Stationary Functional Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 591-609, July.
    29. Dominique Guegan & Matteo Iacopini, 2018. "Nonparametric forecasting of multivariate probability density functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01821815, HAL.
    30. Canale, Antonio & Vantini, Simone, 2016. "Constrained functional time series: Applications to the Italian gas market," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1340-1351.
    31. Brendan K. Beare & Juwon Seo & Won-Ki Seo, 2017. "Cointegrated Linear Processes in Hilbert Space," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 1010-1027, November.
    32. Klepsch, J. & Klüppelberg, C., 2017. "An innovations algorithm for the prediction of functional linear processes," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 252-271.
    33. Horváth, Lajos & Kokoszka, Piotr & Rice, Gregory, 2014. "Testing stationarity of functional time series," Journal of Econometrics, Elsevier, vol. 179(1), pages 66-82.
    34. Caio Almeida & Romeu Gomes & André Leite & José Vicente, 2007. "Does Curvature Enhance Forecasting?," Working Papers Series 155, Central Bank of Brazil, Research Department.
    35. Álvarez-Liébana, Javier & Bosq, Denis & Ruiz-Medina, María D., 2016. "Consistency of the plug-in functional predictor of the Ornstein–Uhlenbeck process in Hilbert and Banach spaces," Statistics & Probability Letters, Elsevier, vol. 117(C), pages 12-22.
    36. Mestre, Guillermo & Portela, José & Rice, Gregory & Muñoz San Roque, Antonio & Alonso, Estrella, 2021. "Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    37. Massimo Franchi & Paolo Paruolo, 2017. "Cointegration in functional autoregressive processes," Papers 1712.07522, arXiv.org, revised Oct 2018.
    38. Chen, Yichao & Pun, Chi Seng, 2019. "A bootstrap-based KPSS test for functional time series," Journal of Multivariate Analysis, Elsevier, vol. 174(C).
    39. Alexander Gleim & Nazarii Salish, 2022. "Forecasting Environmental Data: An example to ground-level ozone concentration surfaces," Papers 2202.03332, arXiv.org.
    40. Butler, Sunil & Kokoszka, Piotr & Miao, Hong & Shang, Han Lin, 2021. "Neural network prediction of crude oil futures using B-splines," Energy Economics, Elsevier, vol. 94(C).
    41. Klepsch, J. & Klüppelberg, C. & Wei, T., 2017. "Prediction of functional ARMA processes with an application to traffic data," Econometrics and Statistics, Elsevier, vol. 1(C), pages 128-149.
    42. Alexander Aue & Diogo Dubart Norinho & Siegfried Hörmann, 2015. "On the Prediction of Stationary Functional Time Series," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 378-392, March.
    43. Bosq, D., 2014. "Computing the best linear predictor in a Hilbert space. Applications to general ARMAH processes," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 436-450.
    44. Koo, Bonsoo & La Vecchia, Davide & Linton, Oliver, 2021. "Estimation of a nonparametric model for bond prices from cross-section and time series information," Journal of Econometrics, Elsevier, vol. 220(2), pages 562-588.
    45. Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2023. "Exploring volatility of crude oil intraday return curves: A functional GARCH-X model," Journal of Commodity Markets, Elsevier, vol. 32(C).
    46. Boukhiar, Souad & Mourid, Tahar, 2022. "Resolvent estimators for functional autoregressive processes with random coefficients," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    47. Horváth, Lajos & Reeder, Ron, 2012. "Detecting changes in functional linear models," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 310-334.
    48. Cerovecki, Clément & Hörmann, Siegfried, 2017. "On the CLT for discrete Fourier transforms of functional time series," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 282-295.
    49. Dominique Guegan & Matteo Iacopini, 2018. "Nonparametric forecasting of multivariate probability density functions," Post-Print halshs-01821815, HAL.
    50. Lajos Horváth & Gregory Rice, 2014. "Extensions of some classical methods in change point analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 219-255, June.
    51. Dominique Guégan & Matteo Iacopini, 2018. "Nonparameteric forecasting of multivariate probability density functions," Documents de travail du Centre d'Economie de la Sorbonne 18012, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    52. Xu, Meng & Li, Jialiang & Chen, Ying, 2017. "Varying coefficient functional autoregressive model with application to the U.S. treasuries," Journal of Multivariate Analysis, Elsevier, vol. 159(C), pages 168-183.
    53. Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2021. "Exploring volatility of crude oil intra-day return curves: a functional GARCH-X Model," MPRA Paper 109231, University Library of Munich, Germany.
    54. Kada Kloucha, Meryem & Mourid, Tahar, 2019. "Best linear predictor of a C[0,1]-valued functional autoregressive process," Statistics & Probability Letters, Elsevier, vol. 150(C), pages 114-120.

  13. Alexei Onatski & Slava Kargin, 2004. "Dynamics of Interest Rate Curve by Functional Auto-regression," Econometric Society 2004 North American Summer Meetings 229, Econometric Society.

    Cited by:

    1. Bo Li & Sabri Boubaker & Zhenya Liu & Waël Louhichi & Yao Yao, 2023. "Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 527-559, August.

  14. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," NBER Working Papers 9566, National Bureau of Economic Research, Inc.

    Cited by:

    1. Levin, Andrew T. & Williams, John C., 2003. "Robust monetary policy with competing reference models," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 945-975, July.
    2. Andrew Phiri, 2023. "Fisher’s hypothesis in time–frequency space: a premier using South Africa as a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4255-4284, October.
    3. Svensson, Lars E. O. & Williams, Noah, 2005. "Monetary policy with model uncertainty: distribution forecast targeting," Discussion Paper Series 1: Economic Studies 2005,35, Deutsche Bundesbank.
    4. Lars Peter Hansen & Thomas J Sargent, 2014. "Robust Control and Model Misspecification," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 6, pages 155-216, World Scientific Publishing Co. Pte. Ltd..
    5. Marc P. Giannoni, 2007. "Robust optimal monetary policy in a forward-looking model with parameter and shock uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 179-213.
    6. Richard Dennis, 2007. "Model uncertainty and monetary policy," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.
    7. Walsh, Carl E., 2004. "Implications of a Changing Economic Structure for the Strategy of Monetary Policy," Santa Cruz Department of Economics, Working Paper Series qt84g1q1g6, Department of Economics, UC Santa Cruz.
    8. Paul Ormerod & Rickard Nyman & David Tuckett, 2015. "Measuring Financial Sentiment to Predict Financial Instability: A New Approach based on Text Analysis," Papers 1508.05357, arXiv.org.
    9. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    10. David Backus & Bryan Routledge & Stanley Zin, 2004. "Exotic Preferences for Macroeconomists," Working Papers 04-20, New York University, Leonard N. Stern School of Business, Department of Economics.
    11. Philip Arestis & Alexander Mihailov, 2008. "Classifying Monetary Economics: Fields and Methods from Past to Future," Economics Discussion Papers em-dp2008-64, Department of Economics, University of Reading.
    12. Levine, Paul & McAdam, Peter & Pearlman, Joseph, 2012. "Probability models and robust policy rules," European Economic Review, Elsevier, vol. 56(2), pages 246-262.
    13. Svensson, Lars E.O., 2010. "Inflation Targeting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 22, pages 1237-1302, Elsevier.
    14. Giordani, Paolo & Söderlind, Paul, 2002. "Solution of Macromodels with Hansen-Sargent Robust Policies: Some Extensions," SSE/EFI Working Paper Series in Economics and Finance 499, Stockholm School of Economics, revised 15 May 2003.
    15. Ramón Adalid & Günter Coenen & Peter McAdam & Stefano Siviero, 2005. "The Performance and Robustness of Interest-Rate Rules in Models of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    16. William A. Brock & Steven N. Durlauf & James M. Nason & Giacomo Rondina, 2007. "Simple versus optimal rules as guides to policy," FRB Atlanta Working Paper 2007-07, Federal Reserve Bank of Atlanta.
    17. Q. Farooq Akram & Yakov Ben-Haim & Øyvind Eitrheim, 2008. "Robust-satisficing monetary policy under parameter uncertainty," Working Paper 2007/14, Norges Bank.
    18. Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan Standard," Working Papers 88, Princeton University, Department of Economics, Center for Economic Policy Studies..
    19. Kai Leitemo & Ulf Söderstrom, 2005. "Robust Monetary Policy in a Small Open Economy," Working Papers 290, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. Onatski, Alexei, 2006. "Winding number criterion for existence and uniqueness of equilibrium in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 323-345, February.
    21. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," NBER Working Papers 10025, National Bureau of Economic Research, Inc.
    22. Luo, Yulei & Nie, Jun & Young, Eric, 2014. "Model Uncertainty and Intertemporal Tax Smoothing," MPRA Paper 54268, University Library of Munich, Germany.
    23. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.
    24. Robert Tetlow & Peter von zur Muehlen, 2004. "Avoiding Nash Inflation: Bayesian and Robus Responses to Model Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 869-899, October.
    25. Tetlow, Robert J. & von zur Muehlen, Peter, 2006. "Robustifying learnability," Working Paper Series 593, European Central Bank.
    26. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    27. Daniel Altman, 2017. "An Alternative Approach to Statistical Inference," Working Papers 17-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    28. Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
    29. van der Ploeg, Frederick, 2004. "Prudent Monetary Policy: Applications of Cautious LQG Control and Prediction," CEPR Discussion Papers 4222, C.E.P.R. Discussion Papers.
    30. Ormerod, Paul, 2015. "The economics of radical uncertainty," Economics Discussion Papers 2015-40, Kiel Institute for the World Economy (IfW Kiel).
    31. Hasui, Kohei, 2020. "A Note On Robust Monetary Policy And Non-Zero Trend Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1574-1594, September.
    32. Juha Kilponen, 2004. "A positive theory of monetary policy and robust control," Macroeconomics 0404036, University Library of Munich, Germany.
    33. Michael Paetz, 2007. "Robust Control and Persistence in the New Keynesian Economy," Quantitative Macroeconomics Working Papers 20711, Hamburg University, Department of Economics.
    34. Di Bartolomeo Giovanni & Giuli Francesco, 2009. "Fiscal and monetary interaction under monetary policy uncertainty," wp.comunite 0061, Department of Communication, University of Teramo.
    35. William A. Brock & Steven N. Durlauf, 2004. "Elements of a Theory of Design Limits to Optimal Policy," Manchester School, University of Manchester, vol. 72(s1), pages 1-18, September.
    36. Giannis Vardas & Anastasios Xepapadeas, 2015. "Uncertainty aversion, robust control and asset holdings," Quantitative Finance, Taylor & Francis Journals, vol. 15(3), pages 477-491, March.
    37. Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
    38. Giuseppe Diana & Moise Sidiropoulos, 2006. "Robust Control and Monetary Policy Delegation," Working Papers of BETA 2006-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    39. Alexei Onatski & Noah Williams, 2010. "Empirical and policy performance of a forward-looking monetary model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 145-176.
    40. Malin Adolfson & Stefan Laseen & Jesper Lindé & Lars E. O. Svensson, 2011. "Optimal monetary policy in an operational medium-sized DSGE model," International Finance Discussion Papers 1023, Board of Governors of the Federal Reserve System (U.S.).
    41. Vardas, Giannis & XEPAPADEAS, Anastasios, 2008. "Model Uncertainty, Ambiguity and the Precautionary Principle: Implications for Biodiversity Management," MPRA Paper 10236, University Library of Munich, Germany.
    42. Juha Kilponen & Kai Leitemo, 2008. "Model Uncertainty and Delegation: A Case for Friedman's k‐Percent Money Growth Rule?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 547-556, March.
    43. Jean-Guillaume Sahuc, 2003. "Robust European monetary policy rules," Applied Economics Letters, Taylor & Francis Journals, vol. 10(14), pages 889-894.
    44. Richhild Moessner, 2006. "Optimal discretionary policy in rational expectations models with regime switching," Bank of England working papers 299, Bank of England.
    45. Wieland, Volker & Küster, Keith, 2005. "Insurance Policies for Monetary Policy in the Euro Area," CEPR Discussion Papers 4956, C.E.P.R. Discussion Papers.
    46. Li Qin & Elefterios Spyromitros & Moïse Sidiropoulos, 2006. "Does Model Uncertainty Lead to Less Central Bank Transparency?," Working Papers of BETA 2006-22, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    47. Marco M. Sorge, 2012. "Robust Delegation with Uncertain Monetary Policy Preferences," EERI Research Paper Series EERI_RP_2012_05, Economics and Econometrics Research Institute (EERI), Brussels.
    48. Mariusz Górajski, 2018. "Robust Monetary Policy in a Model of the Polish Economy: Is the Uncertainty Responsible for the Interest Rate Smoothing Effect?," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 313-340, August.
    49. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    50. Dück, Alexander & Verona, Fabio, 2023. "Robust frequency-based monetary policy rules," IMFS Working Paper Series 180, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    51. Brock,W.A. & Durlauf,S.N., 2004. "Local robustness analysis : theory and application," Working papers 22, Wisconsin Madison - Social Systems.
    52. Debby Lanser & Henk Kranendonk, 2008. "Investigating uncertainty in macroeconomic forecasts by stochastic simulation," CPB Discussion Paper 112, CPB Netherlands Bureau for Economic Policy Analysis.
    53. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.
    54. John C. Williams, 2004. "Robust estimation and monetary policy with unobserved structural change," Working Paper Series 2004-11, Federal Reserve Bank of San Francisco.
    55. Cohen-Cole,E.B. & Durlauf,S.N. & Rondina,G., 2005. "Nonlinearities in growth : from evidence to policy," Working papers 9, Wisconsin Madison - Social Systems.
    56. Vitale, Paolo, 2018. "Optimal monetary policy for a pessimistic central bank," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 39-59.
    57. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    58. van der Ploeg, Frederick, 2009. "Prudent monetary policy and prediction of the output gap," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 217-230, June.
    59. Axel A. Weber & Wolfgang Lemke & Andreas Worms, 2008. "How useful is the concept of the natural real rate of interest for monetary policy?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(1), pages 49-63, January.
    60. Alan S. Blinder, 2006. "Monetary Policy Today: Sixteen Questions and about Twelve Answers," Working Papers 73, Princeton University, Department of Economics, Center for Economic Policy Studies..
    61. Kilponen, Juha & Leitemo, Kai, 2006. "Robustness in monetary policymaking: a case for the Friedman rule," Bank of Finland Research Discussion Papers 4/2006, Bank of Finland.
    62. Kohei Hasui, 2021. "How robustness can change the desirability of speed limit policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 553-570, November.
    63. MOONS, Cindy & GARRETSEN, Harry & VAN AARLE, Bas & FORNERO, Jorge, 2007. "Monetary policy in the new-Keynesian model: An application to the Euro-Area," Working Papers 2007014, University of Antwerp, Faculty of Business and Economics.
    64. Tetlow, Robert J. & Ironside, Brian, 2006. "Real-time model uncertainty in the United States: the Fed from 1996-2003," Working Paper Series 610, European Central Bank.
    65. William Ascher, 2021. "Coping with intelligence deficits in poverty-alleviation policies in low-income countries," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(2), pages 345-370, June.
    66. Eleftherios SPYROMITROS & Li QIN, 2006. "Central bank transparency about model uncertainty and wage setters," Economics Bulletin, AccessEcon, vol. 5(18), pages 1-5.
    67. Xiangrong Yu, 2013. "Measurement Error and Policy Evaluation in the Frequency Domain," Working Papers 172013, Hong Kong Institute for Monetary Research.
    68. Kai Leitemo & Ulf Söderström, 2005. "Robust monetary policy in the New-Keynesian framework," Macroeconomics 0508032, University Library of Munich, Germany.
    69. Hasui Kohei, 2021. "Trend Growth and Robust Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 449-472, June.
    70. Michel Juillard & Florian Pelgrin, 2007. "Computing Optimal Policy in a Timeless-Perspective: An Application to a Small-Open Economy," Staff Working Papers 07-32, Bank of Canada.
    71. Walsh, Carl E., 2005. "Parameter misspecification and robust monetary policy rules," Working Paper Series 477, European Central Bank.
    72. Philippe Bacchetta & Eric van Wincoop, 2009. "On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," Working Papers 272009, Hong Kong Institute for Monetary Research.
    73. Dennis, Richard, 2010. "How robustness can lower the cost of discretion," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 653-667, September.
    74. Kangami, Divine Ngenyeh, 2021. "Challenges of Forecasting the Long-Run Economic Consequences of Pandemics for Selected sub-Saharan Economies," African Journal of Economic Review, African Journal of Economic Review, vol. 9(3), June.
    75. Amber Fatima & Abdul Waheed, 2014. "Economic uncertainty and growth performance: a macroeconomic modeling analysis for Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1361-1387, May.
    76. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    77. Anastasios Xepapadeas & Catarina Roseta-Palma, 2013. "Instabilities and robust control in natural resource management," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(3), pages 161-180, December.
    78. Frederick van der Ploeg, 2007. "Prudent Monetary Policy and Cautious Prediction of the Output Gap," Economics Working Papers ECO2007/40, European University Institute.
    79. William Brock & Anastasios Xepapadeas & Athanasios Yannacopoulos, 2014. "Optimal Control in Space and Time and the Management of Environmental Resources," DEOS Working Papers 1402, Athens University of Economics and Business.
    80. William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008. "Design Limits and Dynamic Policy Analysis," NBER Working Papers 14357, National Bureau of Economic Research, Inc.
    81. Traficante, Guido, 2013. "Monetary policy, parameter uncertainty and welfare," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 73-80.
    82. Pataracchia, Beatrice, 2011. "The spectral representation of Markov switching ARMA models," Economics Letters, Elsevier, vol. 112(1), pages 11-15, July.
    83. Dück, Alexander & Verona, Fabio, 2023. "Monetary policy rules: model uncertainty meets design limits," Bank of Finland Research Discussion Papers 12/2023, Bank of Finland.
    84. Giannis Vardas & Anastasios Xepapadeas, 2004. "Uncertainty Aversion and Robust Portfolio Choices," Working Papers 0408, University of Crete, Department of Economics.
    85. Marc Giannoni, 2006. "Robust Optimal Policy in a Forward-Looking Model with Parameter and Shock Uncertainty," NBER Working Papers 11942, National Bureau of Economic Research, Inc.
    86. Traficante, Guido, 2012. "Uncertain potential output: implications for monetary policy in small open economy," Dynare Working Papers 22, CEPREMAP.
    87. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    88. Mikhail I. Krastanov & Rossen Rozenov & Boyan K. Stefanov, 2023. "On a Constrained Infinite-Time Horizon Linear Quadratic Game," Dynamic Games and Applications, Springer, vol. 13(3), pages 843-858, September.
    89. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    90. Mariusz Gorajski, 2016. "Robust monetary policy in a linear model of the polish economy: is the uncertainty in the model responsible for the interest rate smoothing effect?," Lodz Economics Working Papers 1/2016, University of Lodz, Faculty of Economics and Sociology.
    91. André P. Calmon & Thomas Vallée & João B. R. Do Val, 2009. "Monetary policy as a source of uncertainty," Working Papers hal-00422454, HAL.
    92. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    93. Fatemeh Labafi Feriz & Saeed Samadi & khadijeh Nasrollahi & Rasul Bakhshi Dastjerdi, 2018. "Robust Discretionary Monetary Policy under Cost-Push Shock Uncertainty of Iran’s Economy," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 503-526, Spring.
    94. Altavilla, Carlo & Ciccarelli, Matteo, 2010. "Evaluating the effect of monetary policy on unemployment with alternative inflation forecasts," Economic Modelling, Elsevier, vol. 27(1), pages 237-253, January.
    95. Carlo Altavilla & Matteo Ciccarelli, 2008. "Inflation models, optimal monetary policy and uncertain unemployment dynamics: Evidence from the US and the euro area," Discussion Papers 8_2008, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    96. Q. Farooq Akram & Yakov Ben-Haim & Øyvind Eitrheim, 2006. "Managing uncertainty through robust-satisficing monetary policy," Working Paper 2006/10, Norges Bank.
    97. Paulo R. Mota & Abel L. C. Fernandes, 2019. "The Dynamic Adjustment Of Central Banks’ Target Interest Rate: The Case Of The Ecb," FEP Working Papers 613, Universidade do Porto, Faculdade de Economia do Porto.
    98. Gino Cateau, 2006. "Guarding Against Large Policy Errors under Model Uncertainty," Staff Working Papers 06-13, Bank of Canada.
    99. Giannis Vardas & Anastasios Xepapadeas, 2007. "Uncertainty Aversion, Robust Control And Asset Holdings With A Stochastic Investment Opportunity Set," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(06), pages 985-1014.
    100. Loisel, O., 2006. "Bubble-free interest-rate rules," Working papers 161, Banque de France.
    101. Brock,W.A. & Durlauf,S.N., 2004. "Macroeconomics and model uncertainty," Working papers 20, Wisconsin Madison - Social Systems.
    102. Moessner, Richhild, 2005. "Optimal discretionary policy and uncertainty about inflation persistence," Working Paper Series 540, European Central Bank.
    103. Kurozumi, Takushi, 2010. "Optimal Monetary Policy Under Parameter Uncertainty In A Simple Microfounded Model," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 257-268, April.
    104. Górajski, Mariusz & Kuchta, Zbigniew, 2023. "Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    105. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

  15. Michael Kremer & Alexei Onatski & James Stock, 2001. "Searching for Prosperity," NBER Working Papers 8250, National Bureau of Economic Research, Inc.

    Cited by:

    1. Sharun W. Mukand & Dani Rodrik, 2005. "In Search of the Holy Grail: Policy Convergence, Experimentation, and Economic Performance," American Economic Review, American Economic Association, vol. 95(1), pages 374-383, March.
    2. Färnstrand Damsgaard, Erika & Krusell, Per, 2010. "The World Distribution of Productivity: Country TFP Choice in a Nelson-Phelps Economy," Working Paper Series 850, Research Institute of Industrial Economics.
    3. Amparo Castello-Climent & Rafael Domenech, 2006. "Human Capital Inequality, Life Expectancy and Economic Growth," Working Papers 0604, International Economics Institute, University of Valencia.
    4. Jesús Peiró-Palomino & William Orlando Prieto-Bustos & Emili Tortosa-Ausina, 2020. "Weighted convergence in Colombian departments: The role of geography and demography," Working Papers 2020/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Beaudry, Paul & Collard, Fabrice & Green, David A., 2003. "Changes in the World Distribution of Output-per-Worker 1960-98 : How a Standard Decomposition tells an Unorthodox Story," IDEI Working Papers 190, Institut d'Économie Industrielle (IDEI), Toulouse.
    6. Gordon Anderson, Alessio Farcomeni, Maria Grazia Pittau and Roberto Zelli, 2019. "Multidimensional Nation Wellbeing, More Equal yet More Polarized: An Analysis of the Progress of Human Development Since 1990," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(1), pages 1-22, March.
    7. Jesús Peiró-Palomino & William Orlando Prieto-Bustos & Emili Tortosa-Ausina, 2023. "Regional income convergence in Colombia: population, space, and long-run dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 559-601, April.
    8. Pauline Grosjean & Frantisek Ricka & Claudia Senik, 2013. "Learning, political attitudes and crises: Lessons from transition countries," PSE-Ecole d'économie de Paris (Postprint) halshs-00847352, HAL.
    9. Blackburn, Keith & Forgues-Puccio, Gonzalo F., 2005. "Distribution and Development in a Model of Misgovernance," Proceedings of the German Development Economics Conference, Kiel 2005 15, Verein für Socialpolitik, Research Committee Development Economics.
    10. Keith Blackburn & Gonzalo F. Forgues-Puccio, 2011. "Foreign aid - a fillip for development or a fuel for corruption?," Centre for Growth and Business Cycle Research Discussion Paper Series 158, Economics, The University of Manchester.
    11. MASSON, Paul & RUGE-MURCIA, Francisco J., 2003. "Explaining the Transition Between Exchange Rate Regimes," Cahiers de recherche 15-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    12. Susanto Basu, 2014. "Productivity and the Welfare of Nations," 2014 Meeting Papers 787, Society for Economic Dynamics.
    13. Han, Xuehui & Wei, Shang-Jin, 2017. "Re-examining the middle-income trap hypothesis (MITH): What to reject and what to revive?," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 41-61.
    14. Susanto Basu & Luigi Pascali & Fabio Schiantarelli & Luis Serven, 2022. "Productivity and the Welfare of Nations," Journal of the European Economic Association, European Economic Association, vol. 20(4), pages 1647-1682.
    15. Xavier Sala-i-Martin, 2002. "The Disturbing "Rise" of Global Income Inequality," NBER Working Papers 8904, National Bureau of Economic Research, Inc.
    16. Kraay, Aart & Raddatz, Claudio, 2005. "Poverty traps, aid, and growth," Policy Research Working Paper Series 3631, The World Bank.
    17. Park, Seonyoung & Shin, Donggyun, 2020. "Recent Changes in the Nature of Distribution Dynamics of US County Incomes," Working Paper Series 20926, Victoria University of Wellington, School of Economics and Finance.
    18. Holger Breinlich & Gianmarco I. P. Ottaviano & Jonathan R. W. Temple, 2013. "Regional Growth and Regional Decline," CEP Discussion Papers dp1232, Centre for Economic Performance, LSE.
    19. Jørn Rattsø & Hildegunn Stokke, 2014. "Regional Convergence of Income and Education: Investigation of Distribution Dynamics," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1672-1685, June.
    20. Mr. Marcos d Chamon & Mr. Michael R Kremer, 2006. "Economic Transformation, Population Growth, and the Long-Run World Income Distribution," IMF Working Papers 2006/021, International Monetary Fund.
    21. Semmler, Willi & Ofori, Marvin, 2007. "On poverty traps, thresholds and take-offs," Structural Change and Economic Dynamics, Elsevier, vol. 18(1), pages 1-26, March.
    22. Weisbrod, Julian & Vollmer, Sebastian & Holzmann, Hajo, 2007. "Perspectives on the World Income Distribution: Beyond Twin Peaks Towards Welfare Conclusions," Proceedings of the German Development Economics Conference, Göttingen 2007 32, Verein für Socialpolitik, Research Committee Development Economics.
    23. Strulik, Holger & Vollmer, Sebastian, 2010. "The Fertility Transition Around the World - 1950-2005," Hannover Economic Papers (HEP) dp-443, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    24. Hildegunn Stokke & Jørn Rattsø, 2011. "Accumulation of education and regional income growth: Limited human capital effects in Norway," ERSA conference papers ersa11p460, European Regional Science Association.
    25. Chumacero Rómulo A., 2006. "On the Power of Absolute Convergence Tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-25, May.
    26. William Easterly, 2006. "Reliving the 1950s: the big push, poverty traps, and takeoffs in economic development," Journal of Economic Growth, Springer, vol. 11(4), pages 289-318, December.
    27. Chih Ming Tan, 2007. "Economic Growth Nonlinearities," Discussion Papers Series, Department of Economics, Tufts University 0701, Department of Economics, Tufts University.
    28. Hildegunn Stokke & Jörn Rattsö, 2011. "Income convergence, migration and geography: Distribution analysis of regions in Norway," ERSA conference papers ersa10p174, European Regional Science Association.
    29. Shang-Jin Wei & Ms. Irina Tytell, 2004. "Does Financial Globalization Induce Better Macroeconomic Policies?," IMF Working Papers 2004/084, International Monetary Fund.
    30. Paul David & Francesco Rullani, 2007. "Dynamics of Innovation in an “Open Source” Collaboration Environment: Lurking, Laboring and Launching FLOSS Projects on SourceForge," Discussion Papers 07-022, Stanford Institute for Economic Policy Research.
    31. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2008. "Empirics of Growth and Development," Chapters, in: Amitava Krishna Dutt & Jaime Ros (ed.), International Handbook of Development Economics, Volumes 1 & 2, volume 0, chapter 3, Edward Elgar Publishing.
    32. Roberto Ezcurra & Carlos Gil & Pedro Pascual, 2005. "Regional welfare disparities: the case of the European Union," Applied Economics, Taylor & Francis Journals, vol. 37(12), pages 1423-1437.
    33. Andrea Mario Lavezzi & Davide Fiaschi, 2004. "Nonlinear Growth and the Productivity Slowdown," Computing in Economics and Finance 2004 162, Society for Computational Economics.
    34. Mahmoud A. El-Gamal & Deockhyun Ryu, 2013. "Nonstationarity and Stochastic Stability of Relative Income Clubs," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 756-775, December.
    35. Fiaschi, Davide & Lavezzi, Andrea Mario, 2007. "Nonlinear economic growth: Some theory and cross-country evidence," Journal of Development Economics, Elsevier, vol. 84(1), pages 271-290, September.
    36. Graham, Bryan S. & Jonathan Temple, 2002. "Rich Nations, Poor Nations: How much can multiple equilibria explain?," Royal Economic Society Annual Conference 2002 91, Royal Economic Society.
    37. Xavier Sala-i-Martin, 2006. "The World Distribution of Income: Falling Poverty and … Convergence, Period," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 351-397.
    38. Aldy, Joseph, 2005. "Per Capita Carbon Dioxide Emissions: Convergence or Divergence?," RFF Working Paper Series dp-05-53, Resources for the Future.
    39. Aldy, Joseph, 2006. "Divergence in State-Level Per Capita Carbon Dioxide Emissions," RFF Working Paper Series dp-06-07, Resources for the Future.
    40. Rappaport, Jordan, 2006. "A bottleneck capital model of development," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 2113-2129, November.
    41. Gordon Anderson, 2004. "Making inferences about the polarization, welfare and poverty of nations: a study of 101 countries 1970-1995," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 537-550.
    42. Paul Beaudry & Fabrice Collard, 2004. "Globalization, Returns to Accumulationa and the World Distribution of Output," NBER Working Papers 10565, National Bureau of Economic Research, Inc.
    43. Michał Kruszka & Marcin Puziak, 2010. "Convergence and Distributions of Income in Large European Economies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.
    44. Holger Strulik & Sebastian Vollmer, 2015. "The fertility transition around the world," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(1), pages 31-44, January.
    45. Roberto Ezcurra & Carlos Gil & Pedro Pascual & Manuel Rapun, 2005. "Inequality, Polarisation and Regional Mobility in the European Union," Urban Studies, Urban Studies Journal Limited, vol. 42(7), pages 1057-1076, June.
    46. Roberto Ezcurra & Carlos Gil & Manuel Rapún, 2004. "Regional Specialization In The European Union," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0404, Departamento de Economía - Universidad Pública de Navarra.
    47. Arribas Fernández Iván & Pérez García Francisco & Tortosa-Ausina Emili, 2008. "On the Dynamics of Globalization," Working Papers 201088, Fundacion BBVA / BBVA Foundation.
    48. Verner, Dorte & Tebaldi, Edinaldo, 2004. "Convergence, dynamics, and geography of economic growth : The case of municipalities in Rio Grande do Norte, Brazil," Policy Research Working Paper Series 3302, The World Bank.
    49. Xavier Sala-i-Martin, 2002. "15 Years of New Growth Economics: What Have We Learnt?," Working Papers Central Bank of Chile 172, Central Bank of Chile.
    50. Uwe Cantner & Bernd Ebersberger & Horst Hanusch & Jens J. Krüger & Andreas Pyka, 2004. "The Twin Peaks in National Income. Parametric and Nonparametric Estimates," Revue économique, Presses de Sciences-Po, vol. 55(6), pages 1127-1144.
    51. Ms. Irina Dolinskaya & Ms. Irina Tytell, 2002. "Transition and Regional Inequality in Russia: Reorganization or Procrastination?," IMF Working Papers 2002/169, International Monetary Fund.
    52. Buera, Francisco & Primiceri, Giorgio & Monge-Naranjo, Alexander, 2010. "Learning the Wealth of Nations," CEPR Discussion Papers 8030, C.E.P.R. Discussion Papers.
    53. Fabrizio Coricelli & Zorobabel Bicaba, 2015. "Learning to open up: Capital account liberalizations in the post-Bretton Woods era," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01267264, HAL.
    54. Peter J. Klenow & Andres Rodriguez-Clare, 2004. "Externalities and Growth," NBER Working Papers 11009, National Bureau of Economic Research, Inc.
    55. Richard Startz, 2020. "The next hundred years of growth and convergence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 99-113, January.
    56. M. Herrerías, 2012. "Weighted convergence and regional growth in China: an alternative approach (1952–2008)," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 685-718, December.
    57. Deockhyun Ryu & Mahmoud A. El-Gamal, 2004. "Convergence Hypotheses are Ill-Posed:Non-stationarity of Cross-Country Income Distribution D," Econometric Society 2004 Far Eastern Meetings 576, Econometric Society.
    58. Marcel Fafchamps & Klaus Desmet & Universidad Carlos III de Madrid and CEPR, 2003. "Employment Concentration across US Counties," Economics Series Working Papers 180, University of Oxford, Department of Economics.
    59. Iván Arribas & Francisco Pérez & Emili Tortosa-Ausina, 2014. "The dynamics of international trade integration: 1967–2004," Empirical Economics, Springer, vol. 46(1), pages 19-41, February.
    60. Feyrer James D, 2008. "Convergence by Parts," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-35, July.
    61. Im, Fernando Gabriel & Rosenblatt, David, 2013. "Middle-income traps : a conceptual and empirical survey," Policy Research Working Paper Series 6594, The World Bank.
    62. Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2014. "On the sources of European regional convergence: Does social capital have an economic payoff?," Working Papers 2014/16, Economics Department, Universitat Jaume I, Castellón (Spain).
    63. Roberto Ezcurra & Pedro Pascual & Manuel Rapún, 2005. "Territorial Mobility: A Measuring Proposal," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0504, Departamento de Economía - Universidad Pública de Navarra.
    64. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.
    65. J�rn Ratts� & Hildegunn E. Stokke, 2014. "Population Divergence and Income Convergence: Regional Distribution Dynamics for Norway," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1884-1895, November.
    66. José V. Gallegos & Gaston Yalonetzky, 2014. "Robust ``pro-poorest'' poverty reduction with counting measures: the non-anonymous case," Working Papers 351, ECINEQ, Society for the Study of Economic Inequality.
    67. Xavier Sala-i-Martin, 2002. "The world distribution of income (estimated from individual country distributions)," Economics Working Papers 615, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2002.
    68. Mark Rogers, 2003. "A Survey of Economic Growth," The Economic Record, The Economic Society of Australia, vol. 79(244), pages 112-135, March.
    69. Mr. James M. Boughton, 2005. "Does the World Need a Universal Financial Institution?," IMF Working Papers 2005/116, International Monetary Fund.
    70. Hajo Holzmann & Sebastian Vollmer & Julian Weisbrod, 2007. "Income Distribution Dynamics and Pro-Poor Growth in the World from 1970 to 2003," Ibero America Institute for Econ. Research (IAI) Discussion Papers 161, Ibero-America Institute for Economic Research.

  16. Alexei Onatski, 2000. "Minimax Analysis of Monetary Policy Under Model Uncertainty," Econometric Society World Congress 2000 Contributed Papers 1818, Econometric Society.

    Cited by:

    1. Glenn Rudebusch, 2000. "Assessing Nominal Income Rules for Monetary Policy with Model and Data Uncertainty," Econometric Society World Congress 2000 Contributed Papers 0065, Econometric Society.
    2. Castelnuovo, Efrem & Paolo Surico, 2003. "Why are Federal Funds Rates so Smooth?," Royal Economic Society Annual Conference 2003 39, Royal Economic Society.
    3. Stefano Eusepi, 2004. "Does Central Bank Transparency Matter for Economic Stability," Computing in Economics and Finance 2004 176, Society for Computational Economics.
    4. Adam, Klaus, 2004. "On the relation between robust and Bayesian decision making," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 2105-2117, September.

  17. Alexei Onatski & James H. Stock, 2000. "Robust Monetary Policy Under Model Uncertainty in a Small Model of the U.S. Economy," NBER Working Papers 7490, National Bureau of Economic Research, Inc.

    Cited by:

    1. Levin, Andrew T. & Williams, John C., 2003. "Robust monetary policy with competing reference models," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 945-975, July.
    2. Andrew Levin & John C. Williams, 2000. "The Performance of Forecast-Based Monetary Policy Rules under Model Uncertainty," Econometric Society World Congress 2000 Contributed Papers 1781, Econometric Society.
    3. Dai, Meixing & Spyromitros, Eleftherios, 2012. "Inflation contract, central bank transparency and model uncertainty," Economic Modelling, Elsevier, vol. 29(6), pages 2371-2381.
    4. Marc P. Giannoni, 2007. "Robust optimal monetary policy in a forward-looking model with parameter and shock uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 179-213.
    5. Richard Dennis, 2007. "Model uncertainty and monetary policy," Working Paper Series 2007-09, Federal Reserve Bank of San Francisco.
    6. Walsh, Carl E., 2004. "Implications of a Changing Economic Structure for the Strategy of Monetary Policy," Santa Cruz Department of Economics, Working Paper Series qt84g1q1g6, Department of Economics, UC Santa Cruz.
    7. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    8. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    9. Klaus Schmidt-Hebbel & Carl E. Walsh, 2009. "Monetary Policy under Uncertainty and Learning: An Overview," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 1, pages 001-025, Central Bank of Chile.
    10. Lars E.O. Svensson, 2002. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Working Papers 118, Princeton University, Department of Economics, Center for Economic Policy Studies..
    11. Favero, Carlo A. & Milani, Fabio, 2005. "Parameter Instability, Model Uncertainty and the Choice of Monetary Policy," CEPR Discussion Papers 4909, C.E.P.R. Discussion Papers.
    12. Billi, Roberto M., 2004. "The optimal inflation buffer with a zero bound on nominal interest rates," CFS Working Paper Series 2005/17, Center for Financial Studies (CFS).
    13. Francesca Rondina, 2010. "Policy Evaluation and Uncertainty About the Effects of Oil Prices on Economic Activity," Working Papers 522, Barcelona School of Economics.
    14. Bohdan Kłos, 2003. "Rules of Percentage Rate in Conditions of Uncertainty," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 9.
    15. Ramón Adalid & Günter Coenen & Peter McAdam & Stefano Siviero, 2005. "The Performance and Robustness of Interest-Rate Rules in Models of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    16. William A. Brock & Steven N. Durlauf & James M. Nason & Giacomo Rondina, 2007. "Simple versus optimal rules as guides to policy," FRB Atlanta Working Paper 2007-07, Federal Reserve Bank of Atlanta.
    17. Miguel Casares, 2006. "A close look at model-dependent monetary policy design," Review, Federal Reserve Bank of St. Louis, vol. 88(Sep), pages 451-470.
    18. Oros, Cornel & Zimmer, Blandine, 2020. "Budget uncertainty in a monetary union," European Journal of Political Economy, Elsevier, vol. 63(C).
    19. Kai Leitemo & Ulf Söderstrom, 2005. "Robust Monetary Policy in a Small Open Economy," Working Papers 290, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    21. Onatski, Alexei, 2006. "Winding number criterion for existence and uniqueness of equilibrium in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 323-345, February.
    22. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," NBER Working Papers 10025, National Bureau of Economic Research, Inc.
    23. Lieven Baele & et al., 2012. "Macroeconomic Regimes," Faculty Working Papers 03/12, School of Economics and Business Administration, University of Navarra.
    24. Arabinda Basistha & Richard Startz, 2005. "Measuring the NAIRU with Reduced Uncertainty: A Multiple Indicator-Common Component Approach," Computing in Economics and Finance 2005 46, Society for Computational Economics.
    25. Glenn D. Rudebusch, 1999. "Is the Fed too timid? Monetary policy in an uncertain world," Working Papers in Applied Economic Theory 99-05, Federal Reserve Bank of San Francisco.
    26. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.
    27. Camilla Lupiani, 2024. "Taylor Rule and Shadow Rates: theory and empirical analysis," BAFFI CAREFIN Working Papers 24218, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    28. Robert Tetlow & Peter von zur Muehlen, 2004. "Avoiding Nash Inflation: Bayesian and Robus Responses to Model Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 869-899, October.
    29. Tetlow, Robert J. & von zur Muehlen, Peter, 2006. "Robustifying learnability," Working Paper Series 593, European Central Bank.
    30. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    31. Amélie Barbier-Gauchard & Meixing Dai & Claire Mainguy & Jamel Saadaoui & Moïse Sidiropoulos & Isabelle Terraz & Jamel Trabelsi, 2021. "Towards a more resilient European Union after the COVID-19 crisis," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 321-348, June.
    32. Gavin, William T. & Keen, Benjamin D. & Pakko, Michael R., 2009. "Inflation Risk And Optimal Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S1), pages 58-75, May.
    33. Eric T. Swanson, 2000. "On signal extraction and non-certainty-equivalence in optimal monetary policy rules," Proceedings, Federal Reserve Bank of San Francisco.
    34. Shin-ichi Fukuda, 2012. "Infrequent Changes of the Policy Target: Robust Optimal Monetary Policy under Ambiguity," CIRJE F-Series CIRJE-F-863, CIRJE, Faculty of Economics, University of Tokyo.
    35. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1087-1122, September.
    36. Lars E.O. Svensson, 1999. "Price Stability as a Target for Monetary Policy: Defining and Maintaining Price Stability," NBER Working Papers 7276, National Bureau of Economic Research, Inc.
    37. Paul Levine & Peter McAdam & Joseph Pearlman, 2007. "Inflation-Forecast-Based Rules and Indeterminacy: A Puzzle and a Resolution," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 77-110, December.
    38. Ekaterina Pirozhkova, 2017. "Financial frictions and robust monetary policy in the models of New Keynesian framework," BCAM Working Papers 1701, Birkbeck Centre for Applied Macroeconomics.
    39. Mésonnier, J-S. & Renne, J-P., 2004. "A Time-Varying Natural Rate for the Euro Area," Working papers 115, Banque de France.
    40. Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
    41. van der Ploeg, Frederick, 2004. "Prudent Monetary Policy: Applications of Cautious LQG Control and Prediction," CEPR Discussion Papers 4222, C.E.P.R. Discussion Papers.
    42. Söderström, Ulf, 1999. "Monetary policy with uncertain parameters," Working Paper Series 83, Sveriges Riksbank (Central Bank of Sweden).
    43. Li Qin & Moïse SIDIROPOULOS & Eleftherios Spyromitros, 2009. "Robust Monetary Policy under Model Uncertainty and Inflation Persistence," Working Papers of BETA 2009-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    44. Kilponen, Juha, 2004. "Robust expectations and uncertain models: a robust contol approach with application to the new Keynesian economy," Bank of Finland Research Discussion Papers 5/2004, Bank of Finland.
    45. Gadi Barlevy, 2011. "Robustness and Macroeconomic Policy," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 1-24, September.
    46. Adam Cagliarini & Alexandra Heath, 2000. "Monetary Policy-making in the Presence of Knightian Uncertainty," RBA Research Discussion Papers rdp2000-10, Reserve Bank of Australia.
    47. Gino Cateau, 2005. "Monetary Policy under Model and Data-Parameter Uncertainty," Staff Working Papers 05-6, Bank of Canada.
    48. Coenen, Gunter, 2007. "Inflation persistence and robust monetary policy design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 111-140, January.
    49. Hansen, Lars Peter & Sargent, Thomas J., 2003. "Robust control of forward-looking models," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 581-604, April.
    50. Juha Kilponen, 2004. "A positive theory of monetary policy and robust control," Macroeconomics 0404036, University Library of Munich, Germany.
    51. Michael Paetz, 2007. "Robust Control and Persistence in the New Keynesian Economy," Quantitative Macroeconomics Working Papers 20711, Hamburg University, Department of Economics.
    52. Marco P. Tucci, 2009. "How Robust is Robust Control in the Time Domain?," Department of Economics University of Siena 569, Department of Economics, University of Siena.
    53. Sargent, Thomas & Ellison, Martin, 2009. "A defence of the FOMC," CEPR Discussion Papers 7510, C.E.P.R. Discussion Papers.
    54. Chahrour, Ryan & Svec, Justin, 2014. "Optimal capital taxation and consumer uncertainty," Journal of Macroeconomics, Elsevier, vol. 41(C), pages 178-198.
    55. Epstein, Larry G. & Schneider, Martin, 2003. "Recursive multiple-priors," Journal of Economic Theory, Elsevier, vol. 113(1), pages 1-31, November.
    56. Altavilla, Carlo & Ciccarelli, Matteo, 2009. "The effects of monetary policy on unemployment dynamics under model uncertainty: evidence from the US and the euro area," Working Paper Series 1089, European Central Bank.
    57. William A. Brock & Steven N. Durlauf, 2004. "Elements of a Theory of Design Limits to Optimal Policy," Manchester School, University of Manchester, vol. 72(s1), pages 1-18, September.
    58. Giannis Vardas & Anastasios Xepapadeas, 2015. "Uncertainty aversion, robust control and asset holdings," Quantitative Finance, Taylor & Francis Journals, vol. 15(3), pages 477-491, March.
    59. André Marine Charlotte & Medina Espidio Sebastián, 2022. "Optimal Robust Monetary Policy in a Small Open Economy," Working Papers 2022-17, Banco de México.
    60. A. Hakan Kara, 2004. "Optimal Monetary Policy, Commitment, and Imperfect Credibility," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 4(1), pages 31-66.
    61. Guy Debelle & Adam Cagliarini, 2000. "The Effect of Uncertainty on Monetary Policy: How Good are the Brakes?," RBA Research Discussion Papers rdp2000-07, Reserve Bank of Australia.
    62. Tristani, Oreste, 2007. "Model misspecification, the equilibrium natural interest rate and the equity premium," Working Paper Series 808, European Central Bank.
    63. Kunting Chen & Changbiao Zhong, 2011. "The effect mechanism of credit constraint on cycle's formation," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 408-424, September.
    64. S. Zakovic & V. Wieland & B. Rustem, 2004. "Stochastic Optimisation and Worst Case Analysis in Monetary Policy Design," Computing in Economics and Finance 2004 213, Society for Computational Economics.
    65. Agénor, Pierre-Richard & Flamini, Alessandro, 2022. "Institutional mandates for macroeconomic and financial stability," Journal of Financial Stability, Elsevier, vol. 62(C).
    66. Orphanides, Athanasios & Wieland, Volker, 2000. "Inflation zone targeting," European Economic Review, Elsevier, vol. 44(7), pages 1351-1387, June.
    67. Zampolli, Fabrizio, 2006. "Optimal monetary policy in a regime-switching economy: The response to abrupt shifts in exchange rate dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1527-1567.
    68. Wieland, Volker & Küster, Keith, 2005. "Insurance Policies for Monetary Policy in the Euro Area," CEPR Discussion Papers 4956, C.E.P.R. Discussion Papers.
    69. Cateau, Gino, 2007. "Monetary policy under model and data-parameter uncertainty," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2083-2101, October.
    70. Efrem CASTELNUOVO, 2010. "Regime Shifts and the Stability of Backward Looking Phillips Curves in Open Economies," EcoMod2004 330600035, EcoMod.
    71. Felipe Morandé & Mauricio Tejada, 2009. "Sources of Uncertainty in Conducting Monetary Policy in Chile," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 12, pages 451-509, Central Bank of Chile.
    72. Hans M. Amman & David A. Kendrick, 2003. "A Classification System for Economic Stochastic Control Models," Computing in Economics and Finance 2003 114, Society for Computational Economics.
    73. Orphanides, Athanasios, 1999. "The Quest for Prosperity Without Inflation," Working Paper Series 93, Sveriges Riksbank (Central Bank of Sweden).
    74. Rudebusch, Glenn D, 2005. "Assessing the Lucas Critique in Monetary Policy Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 245-272, April.
    75. Roberto M. Billi, 2006. "The Optimal Long-Run Inflation Rate for the U.S. Economy," Computing in Economics and Finance 2006 72, Society for Computational Economics.
    76. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    77. Meixing Dai & Eleftherios Spyromitros, 2009. "Accountability and Transparency about Central Bank Preferences for Model Robustness," Working Papers of BETA 2009-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    78. Ben Martin, 1999. "Caution and gradualism in monetary policy under uncertainty," Bank of England working papers 105, Bank of England.
    79. Castelnuovo, Efrem & Paolo Surico, 2003. "Why are Federal Funds Rates so Smooth?," Royal Economic Society Annual Conference 2003 39, Royal Economic Society.
    80. Mariusz Górajski, 2018. "Robust Monetary Policy in a Model of the Polish Economy: Is the Uncertainty Responsible for the Interest Rate Smoothing Effect?," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 313-340, August.
    81. Anton Muscatelli & Carmine Trecroci, 2000. "Monetary Policy Rules, Policy Preferences, and Uncertainty: Recent Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 14(5), pages 597-627, December.
    82. Brock,W.A. & Durlauf,S.N., 2004. "Local robustness analysis : theory and application," Working papers 22, Wisconsin Madison - Social Systems.
    83. Marco P. Tucci, 2024. "A Critical Introduction to the Usual Robust Control Framework in Macroeconomics," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 625-641, August.
    84. Cohen-Cole,E.B. & Durlauf,S.N. & Rondina,G., 2005. "Nonlinearities in growth : from evidence to policy," Working papers 9, Wisconsin Madison - Social Systems.
    85. Dai, Meixing & Spyromitros, Eleftherios, 2012. "A Note On Monetary Policy, Asset Prices, And Model Uncertainty," Macroeconomic Dynamics, Cambridge University Press, vol. 16(5), pages 777-790, November.
    86. Vitale, Paolo, 2018. "Optimal monetary policy for a pessimistic central bank," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 39-59.
    87. Humala, Alberto & Rodríguez, Gabriel, 2009. "Estimation of a Time Varying Natural Interest Rate for Peru," Working Papers 2009-009, Banco Central de Reserva del Perú.
    88. Carlo A. Favero, "undated". "Parameters´ Instability, Model Uncertainty and Optimal Monetary Policy," Working Papers 196, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    89. Francesco Giuli, 2007. "Robust control in a Sticky information economy," Working Papers in Public Economics 98, Department of Economics and Law, Sapienza University of Roma.
    90. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    91. Adriana Grasso & Guido Traficante, 2021. "Optimal robust monetary policy with parameters and output gap uncertainty," Temi di discussione (Economic working papers) 1339, Bank of Italy, Economic Research and International Relations Area.
    92. Williams, Noah, 2012. "Monetary policy under financial uncertainty," Journal of Monetary Economics, Elsevier, vol. 59(5), pages 449-465.
    93. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    94. van der Ploeg, Frederick, 2009. "Prudent monetary policy and prediction of the output gap," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 217-230, June.
    95. Ippei Fujiwara & Naoko Hara & Naohisa Hirakata & Takeshi Kimura & Shinichiro Watanabe, 2007. "Japanese Monetary Policy during the Collapse of the Bubble Economy: A View of Policymaking under Uncertainty," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 25(2), pages 89-128, November.
    96. Marco Paolo Tucci, 2019. "The usual robust control framework in discrete time: Some interesting results," Department of Economics University of Siena 815, Department of Economics, University of Siena.
    97. Carlo Altavilla & Matteo Ciccarelli, 2009. "The Effects of Monetary Policy on Unemployment Dynamics under Model Uncertainty: Evidence from the United States and the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1265-1300, October.
    98. Peter Tillmann, 2007. "Robust Monetary Policy with the Cost Channel," European Economy - Economic Papers 2008 - 2015 278, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    99. Rodríguez Arnulfo & Rodríguez Pedro N., 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.
    100. Giannoni, Marc P., 2002. "Does Model Uncertainty Justify Caution? Robust Optimal Monetary Policy In A Forward-Looking Model," Macroeconomic Dynamics, Cambridge University Press, vol. 6(1), pages 111-144, February.
    101. Kirdan Lees, 2006. "What do robust policies look like for open economy inflation targeters?," Reserve Bank of New Zealand Discussion Paper Series DP2006/08, Reserve Bank of New Zealand.
    102. Arnulfo Rodriguez & Pedro N. Rodriguez, 2006. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Computing in Economics and Finance 2006 30, Society for Computational Economics.
    103. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.
    104. Efrem Castelnuovo, 2002. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Macroeconomics 0211006, University Library of Munich, Germany.
    105. Sack, Brian & Wieland, Volker, 2000. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 205-228.
    106. Kirdan Lees, 2004. "Uncertainty and the open economy: a view through two different lenses," Econometric Society 2004 Australasian Meetings 235, Econometric Society.
    107. Michael Funke & Michael Paetz, 2007. "Environmental Policy Under Model Uncertainty: A Robust Optimal Control Approach," Quantitative Macroeconomics Working Papers 20703, Hamburg University, Department of Economics.
    108. Stephen G. Cecchetti & Stefan Krause, 2006. "Inflation Targeting versus Price-Path Targeting: Looking For Improvements," Working Papers Central Bank of Chile 399, Central Bank of Chile.
    109. Adam, Klaus, 2004. "On the relation between robust and Bayesian decision making," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 2105-2117, September.
    110. Walsh, Carl E., 2005. "Parameter misspecification and robust monetary policy rules," Working Paper Series 477, European Central Bank.
    111. Dennis, Richard, 2010. "How robustness can lower the cost of discretion," Journal of Monetary Economics, Elsevier, vol. 57(6), pages 653-667, September.
    112. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    113. Alina Carare & Robert Tchaidze, 2008. "The Use and Abuse of Taylor Rules: How Precisely Can We Estimate Them?," Working Papers 006-08, International School of Economics at TSU, Tbilisi, Republic of Georgia.
    114. Marco P. Tucci, 2021. "How Robust is Robust Control in Discrete Time?," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 279-309, August.
    115. Meixing Dai & Moïse Sidiropoulos, 2017. "How multiplicative uncertainty affects the tradeoff between information disclosure and stabilisation policy?," Working Papers of BETA 2017-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    116. Gonzalez F. & Rodriguez A. & Gonzalez-Garcia J.R., 2005. "Uncertainty about the Persistence of Periods with Large Price Shocks and the Optimal Reaction of the Monetary Authority," Computing in Economics and Finance 2005 402, Society for Computational Economics.
    117. J. Tetlow, Robert & von zur Muehlen, Peter, 2001. "Robust monetary policy with misspecified models: Does model uncertainty always call for attenuated policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 911-949, June.
    118. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," FRB Atlanta Working Paper 2004-38, Federal Reserve Bank of Atlanta.
    119. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, University Library of Munich, Germany.
    120. Meixing Dai, 2020. "La réponse de la BCE face à la pandémie de Covid-19," Post-Print hal-04080460, HAL.
    121. André Marine Charlotte & Dai Meixing, 2020. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers 2020-12, Banco de México.
    122. Daniel Kienzler & Kai D. Schmid, 2014. "Hysteresis in Potential Output and Monetary Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 371-396, September.
    123. Frederick van der Ploeg, 2007. "Prudent Monetary Policy and Cautious Prediction of the Output Gap," Economics Working Papers ECO2007/40, European University Institute.
    124. Gadi Barlevy, 2009. "Policymaking under uncertainty: Gradualism and robustness," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 33(Q II), pages 38-55.
    125. Baele, L.T.M. & Bekaert, G.R.J. & Cho, S. & Inghelbrecht, K. & Moreno, A., 2015. "Macroeconomic regimes," Other publications TiSEM e92a1993-778e-4ce2-b603-6, Tilburg University, School of Economics and Management.
    126. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," CEPR Discussion Papers 2139, C.E.P.R. Discussion Papers.
    127. Kindy R. Sjahrir, 2018. "Formulating Regional Competitiveness Fiscal Policy based upon Leverage Factors for Indonesian Data," Working Papers in Economics and Development Studies (WoPEDS) 201804, Department of Economics, Padjadjaran University, revised Dec 2018.
    128. William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008. "Design Limits and Dynamic Policy Analysis," NBER Working Papers 14357, National Bureau of Economic Research, Inc.
    129. Mesonnier, Jean-Stephane & Renne, Jean-Paul, 2007. "A time-varying "natural" rate of interest for the euro area," European Economic Review, Elsevier, vol. 51(7), pages 1768-1784, October.
    130. Bahaj, Saleem & Foulis, Angus, 2016. "Macroprudential policy under uncertainty," Bank of England working papers 584, Bank of England.
    131. Aaron Tornell, 2000. "Robust-H-infinity Forecasting and Asset Pricing Anomalies," NBER Working Papers 7753, National Bureau of Economic Research, Inc.
    132. Alexei Onatski, 2000. "Minimax Analysis of Monetary Policy Under Model Uncertainty," Econometric Society World Congress 2000 Contributed Papers 1818, Econometric Society.
    133. Traficante, Guido, 2013. "Monetary policy, parameter uncertainty and welfare," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 73-80.
    134. Meixing DAI & Eleftherios SPYROMITROS, 2008. "Monetary policy, asset prices and model uncertainty," Working Papers of BETA 2008-15, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    135. Gnabo, Jean-Yves & Moccero, Diego Nicolas, 2015. "Risk management, nonlinearity and aggressiveness in monetary policy: The case of the US Fed," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 281-294.
    136. Daniel O. Beltran & David Draper, 2008. "Estimating the parameters of a small open economy DSGE model: identifiability and inferential validity," International Finance Discussion Papers 955, Board of Governors of the Federal Reserve System (U.S.).
    137. Han, Junhee & Lee, Keun, 2022. "Heterogeneous technology and specialization for economic growth beyond the middle-income stage," Economic Modelling, Elsevier, vol. 112(C).
    138. Mr. Helmut Wagner, 2001. "Implications of Globalization for Monetary Policy," IMF Working Papers 2001/184, International Monetary Fund.
    139. Cornel OROS & Blandine ZIMMER, 2019. "Myopic governments and conservative central banks: are they compatible?," Working Papers of LaRGE Research Center 2019-06, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    140. Ha, Yuong, 1999. "Uncertainty about Length of the Monetary Policy Transmission Lag: Implications for Monetary Policy," Working Paper Series 94, Sveriges Riksbank (Central Bank of Sweden).
    141. Kriwoluzky, Alexander & Stoltenberg, Christian, 2007. "Optimal policy under model uncertainty: A structural-bayesian estimation approach," SFB 649 Discussion Papers 2007-040, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    142. Giannis Vardas & Anastasios Xepapadeas, 2004. "Uncertainty Aversion and Robust Portfolio Choices," Working Papers 0408, University of Crete, Department of Economics.
    143. Joe Haslag & R.W. Hafer & Garett Jones, 2003. "The Effect of Monetary Policy on Economic Output," Working Papers 0311, Department of Economics, University of Missouri.
    144. A. Hakan Kara, 2002. "Robust Targeting Rules for Monetary Policy," Discussion Papers 0208, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    145. Marc Giannoni, 2006. "Robust Optimal Policy in a Forward-Looking Model with Parameter and Shock Uncertainty," NBER Working Papers 11942, National Bureau of Economic Research, Inc.
    146. Mr. Robert Tchaidze & Ms. Alina Carare, 2005. "The Use and Abuse of Taylor Rules: How Precisely Can We Estimate Them?," IMF Working Papers 2005/148, International Monetary Fund.
    147. Benjamin Hunt & Peter Isard, 2003. "Some implications for monetary policy of uncertain exchange rate pass‐through," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(5), pages 567-584, November.
    148. Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    149. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    150. Régis Barnichon & Geert Mesters, 2022. "A Sufficient Statistics Approach for Macro Policy Evaluation," Working Paper Series 2022, Federal Reserve Bank of San Francisco.
    151. Hardik A. Marfatia, 2021. "Is the future really observable? A practical approach to model monetary policy rules," Empirical Economics, Springer, vol. 61(3), pages 1189-1223, September.
    152. Aaron Tornell, 2003. "Robust-H_infinity Forecasting and Asset Pricing Anomalies (December 2001)," UCLA Economics Online Papers 237, UCLA Department of Economics.
    153. Zhao, Mingjun, 2007. "Monetary policy under misspecified expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1278-1299, April.
    154. Mariusz Gorajski, 2016. "Robust monetary policy in a linear model of the polish economy: is the uncertainty in the model responsible for the interest rate smoothing effect?," Lodz Economics Working Papers 1/2016, University of Lodz, Faculty of Economics and Sociology.
    155. Claudio E. V. Borio & Wiliam English & Andrew Filardo, 2003. "A tale of two perspectives: old or new challenges for monetary policy?," BIS Working Papers 127, Bank for International Settlements.
    156. Rageh, Rania, 2010. "Interest rate rule for the conduct of monetary policy: analysis for Egypt (1997:2007)," MPRA Paper 26639, University Library of Munich, Germany.
    157. André P. Calmon & Thomas Vallée & João B. R. Do Val, 2009. "Monetary policy as a source of uncertainty," Working Papers hal-00422454, HAL.
    158. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    159. Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
    160. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    161. Fatemeh Labafi Feriz & Saeed Samadi & khadijeh Nasrollahi & Rasul Bakhshi Dastjerdi, 2018. "Robust Discretionary Monetary Policy under Cost-Push Shock Uncertainty of Iran’s Economy," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(2), pages 503-526, Spring.
    162. Peter Tillmann, 2009. "Optimal Monetary Policy with an Uncertain Cost Channel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(5), pages 885-906, August.
    163. Olalla, Myriam García & Gómez, Alejandro Ruiz, 2011. "Robust control and central banking behaviour," Economic Modelling, Elsevier, vol. 28(3), pages 1265-1278, May.
    164. Felipe Morandé Lavín & Mauricio Tejada, 2008. "Sources of Uncertainty for Conducting Monetary Policy in Chile," Working Papers wp285, University of Chile, Department of Economics.
    165. Matteo Cacciatore & Dmitry Matveev & Rodrigo Sekkel, 2022. "Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature," Discussion Papers 2022-9, Bank of Canada.
    166. Kaiwen Hou, 2022. "Inference for Model Misspecification in Interest Rate Term Structure using Functional Principal Component Analysis," Papers 2212.10790, arXiv.org.
    167. Paulo R. Mota & Abel L. C. Fernandes, 2019. "The Dynamic Adjustment Of Central Banks’ Target Interest Rate: The Case Of The Ecb," FEP Working Papers 613, Universidade do Porto, Faculdade de Economia do Porto.
    168. Marco Tucci, 2006. "Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 533-558, June.
    169. Rodríguez Arnulfo & González Fidel & González García Jesús R., 2007. "Uncertainty about the Persistence of Cost-Push Shocks and the Optimal Reaction of the Monetary Authority," Working Papers 2007-05, Banco de México.
    170. Felipe Morandé L. & Mauricio Tejada G., 2008. "Sources of Uncertainty in Monetary Policy Conduct in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(3), pages 45-80, December.
    171. Brock,W.A. & Durlauf,S.N., 2004. "Macroeconomics and model uncertainty," Working papers 20, Wisconsin Madison - Social Systems.
    172. Kurozumi, Takushi, 2010. "Optimal Monetary Policy Under Parameter Uncertainty In A Simple Microfounded Model," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 257-268, April.
    173. Górajski, Mariusz & Kuchta, Zbigniew, 2023. "Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    174. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

Articles

  1. Alexei Onatski & Chen Wang, 2021. "Spurious Factor Analysis," Econometrica, Econometric Society, vol. 89(2), pages 591-614, March.
    See citations under working paper version above.
  2. Onatski, Alexei & Wang, Chen, 2019. "Extreme canonical correlations and high-dimensional cointegration analysis," Journal of Econometrics, Elsevier, vol. 212(1), pages 307-322.
    See citations under working paper version above.
  3. Alexei Onatski & Chen Wang, 2018. "Alternative Asymptotics for Cointegration Tests in Large VARs," Econometrica, Econometric Society, vol. 86(4), pages 1465-1478, July.
    See citations under working paper version above.
  4. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.

    Cited by:

    1. Marine Carrasco & Barbara Rossi, 2016. "In-sample inference and forecasting in misspecified factor models," Economics Working Papers 1530, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    3. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    4. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    5. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    6. Norman R. Swanson, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 348-353, July.
    7. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    8. Norman R. Swanson & Weiqi Xiong, 2018. "Big data analytics in economics: What have we learned so far, and where should we go from here?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 695-746, August.
    9. Gregory Connor & Robert A. Korajczyk, 2019. "Semi-strong factors in asset returns," Economics Department Working Paper Series n294-19.pdf, Department of Economics, National University of Ireland - Maynooth.
    10. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    11. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    12. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    13. Alexei Onatski & Chen Wang, 2021. "Spurious Factor Analysis," Econometrica, Econometric Society, vol. 89(2), pages 591-614, March.
    14. Andrés Sagner, 2020. "Measuring Systemic Risk: A Quantile Factor Analysis," Working Papers Central Bank of Chile 874, Central Bank of Chile.
    15. Allen, David, 2022. "Asset Pricing Tests, Endogeneity issues and Fama-French factors," MPRA Paper 113610, University Library of Munich, Germany.
    16. Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
    17. Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
    18. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.

  5. Alexei Onatski & Francisco Ruge‐Murcia, 2013. "Factor Analysis Of A Large Dsge Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 903-928, September.
    See citations under working paper version above.
  6. Onatski, Alexei & Uhlig, Harald, 2012. "Unit Roots In White Noise," Econometric Theory, Cambridge University Press, vol. 28(3), pages 485-508, June.
    See citations under working paper version above.
  7. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.

    Cited by:

    1. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    2. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    3. Ma, Shujie & Su, Liangjun, 2018. "Estimation of large dimensional factor models with an unknown number of breaks," Journal of Econometrics, Elsevier, vol. 207(1), pages 1-29.
    4. Badi Baltagi & Chihwa Kao & Fa wang, 2016. "Asymptotic Power of the Sphericity Test Under Weak and Strong Factors in a Fixed Effects Panel Data Model," Center for Policy Research Working Papers 189, Center for Policy Research, Maxwell School, Syracuse University.
    5. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    6. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    7. Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org.
    8. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    9. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.
    10. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson, 2021. "Performance of Empirical Risk Minimization for Linear Regression with Dependent Data," Papers 2104.12127, arXiv.org, revised May 2023.
    11. Anna Bykhovskaya & Vadim Gorin, 2023. "High-Dimensional Canonical Correlation Analysis," Papers 2306.16393, arXiv.org, revised Aug 2023.
    12. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2021. "Measurement of factor strength: Theory and practice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 587-613, August.
    13. Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
    14. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    15. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
    16. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053r, Institute of Social and Economic Research, Osaka University, revised Mar 2020.
    17. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 49/13, Institute for Fiscal Studies.
    18. Denis Chetverikov & Elena Manresa, 2022. "Spectral and post-spectral estimators for grouped panel data models," Papers 2212.13324, arXiv.org, revised Dec 2022.
    19. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    20. Nicola Borri & Denis Chetverikov & Yukun Liu & Aleh Tsyvinski, 2024. "One Factor to Bind the Cross-Section of Returns," Cowles Foundation Discussion Papers 2386, Cowles Foundation for Research in Economics, Yale University.
    21. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    22. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    23. Anatolyev, Stanislav & Mikusheva, Anna, 2021. "Limit Theorems For Factor Models," Econometric Theory, Cambridge University Press, vol. 37(5), pages 1034-1074, October.
    24. Martin Lettau & Markus Pelger, 2018. "Estimating Latent Asset-Pricing Factors," NBER Working Papers 24618, National Bureau of Economic Research, Inc.
    25. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    26. Cheng, Xu & Hansen, Bruce E., 2015. "Forecasting with factor-augmented regression: A frequentist model averaging approach," Journal of Econometrics, Elsevier, vol. 186(2), pages 280-293.
    27. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    28. Kleibergen, Frank & Zhan, Zhaoguo, 2015. "Unexplained factors and their effects on second pass R-squared’s," Journal of Econometrics, Elsevier, vol. 189(1), pages 101-116.
    29. Lettau, Martin & Pelger, Markus, 2018. "Factors that Fit the Time Series and Cross-Section of Stock Returns," CEPR Discussion Papers 13049, C.E.P.R. Discussion Papers.
    30. Stefano Giglio & Dacheng Xiu, 2017. "Inference on Risk Premia in the Presence of Omitted Factors," NBER Working Papers 23527, National Bureau of Economic Research, Inc.
    31. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    32. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    33. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
    34. Poncela, Pilar & Ruiz, Esther, 2020. "A comment on the dynamic factor model with dynamic factors," Economics Discussion Papers 2020-7, Kiel Institute for the World Economy (IfW Kiel).
    35. Luca Margaritella & Ovidijus Stauskas, 2024. "New Tests of Equal Forecast Accuracy for Factor-Augmented Regressions with Weaker Loadings," Papers 2409.20415, arXiv.org, revised Oct 2024.
    36. Stanislav Anatolyev & Anna Mikusheva, 2018. "Factor models with many assets: strong factors, weak factors, and the two-pass procedure," Papers 1807.04094, arXiv.org, revised Apr 2019.
    37. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    38. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    39. Andrii Babii & Eric Ghysels & Junsu Pan, 2022. "Tensor Principal Component Analysis," Papers 2212.12981, arXiv.org, revised Aug 2023.
    40. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    41. Lippi, Marco & Deistler, Manfred & Anderson, Brian, 2023. "High-Dimensional Dynamic Factor Models: A Selective Survey and Lines of Future Research," Econometrics and Statistics, Elsevier, vol. 26(C), pages 3-16.
    42. Marko Mlikota, 2022. "Cross-Sectional Dynamics Under Network Structure: Theory and Macroeconomic Applications," Papers 2211.13610, arXiv.org, revised Sep 2024.
    43. Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022. "Scaled PCA: A New Approach to Dimension Reduction," CEMA Working Papers 678, China Economics and Management Academy, Central University of Finance and Economics.
    44. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    45. Jianqing Fan & Yuan Ke & Yuan Liao, 2016. "Augmented Factor Models with Applications to Validating Market Risk Factors and Forecasting Bond Risk Premia," Papers 1603.07041, arXiv.org, revised Sep 2018.
    46. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    47. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    48. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.
    49. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    50. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    51. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson & Yaping Wang, 2024. "Performance of Empirical Risk Minimization For Principal Component Regression," Papers 2409.03606, arXiv.org, revised Sep 2024.
    52. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    53. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    54. Francisco Corona & Pilar Poncela & Esther Ruiz, 2020. "Estimating Non-stationary Common Factors: Implications for Risk Sharing," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 37-60, January.
    55. Mohitosh Kejriwal & Xiaoxiao Li & Linh Nguyen & Evan Totty, 2024. "The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 3-21, January.
    56. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    57. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    58. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    59. Gregory Cox, 2022. "Weak Identification in Low-Dimensional Factor Models with One or Two Factors," Papers 2211.00329, arXiv.org, revised Mar 2024.
    60. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    61. Farnè, Matteo & Montanari, Angela, 2024. "Large factor model estimation by nuclear norm plus ℓ1 norm penalization," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
    62. Philipp Gersing & Christoph Rust & Manfred Deistler, 2023. "Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Jan 2024.
    63. Jushan Bai, 2023. "Efficiency of QMLE for dynamic panel data models with interactive effects," Papers 2312.07881, arXiv.org, revised Apr 2024.
    64. Doemeland,Doerte & Estevão,Marcello & Jooste,Charl & Sampi Bravo,James Robert Ezequiel & Tsiropoulos,Vasileios, 2022. "Debt Vulnerability Analysis : A Multi-Angle Approach," Policy Research Working Paper Series 9929, The World Bank.
    65. Mariano González-Sánchez & M. Encina Morales de Vega, 2021. "Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector," Mathematics, MDPI, vol. 9(4), pages 1-21, February.
    66. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    67. Adamek, Robert & Smeekes, Stephan & Wilms, Ines, 2023. "Lasso inference for high-dimensional time series," Journal of Econometrics, Elsevier, vol. 235(2), pages 1114-1143.
    68. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    69. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    70. Jianqing Fan & Yuan Liao & Han Liu, 2016. "An overview of the estimation of large covariance and precision matrices," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 1-32, February.
    71. Alj, Abdelkamel & Azrak, Rajae & Mélard, Guy, 2014. "On conditions in central limit theorems for martingale difference arrays," Economics Letters, Elsevier, vol. 123(3), pages 305-307.
    72. Horváth, Lajos & Rice, Gregory, 2019. "Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 138-165.
    73. Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Models without Estimating the Rank," Papers 2311.16440, arXiv.org, revised Oct 2024.
    74. Fan, Jianqing & Wang, Weichen & Zhong, Yiqiao, 2019. "Robust covariance estimation for approximate factor models," Journal of Econometrics, Elsevier, vol. 208(1), pages 5-22.
    75. James H. Stock, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 339-341, July.
    76. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    77. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.
    78. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    79. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    80. Otter, Pieter W. & Jacobs, Jan P.A.M. & Reijer, Ard H.J. de, 2014. "A criterion for the number of factors in a data-rich environment," Research Report 14008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    81. Alonso, Andrés M. & Galeano, Pedro & Peña, Daniel, 2020. "A robust procedure to build dynamic factor models with cluster structure," Journal of Econometrics, Elsevier, vol. 216(1), pages 35-52.
    82. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    83. Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    84. Yuefeng Han & Rong Chen & Cun-Hui Zhang, 2020. "Rank Determination in Tensor Factor Model," Papers 2011.07131, arXiv.org, revised May 2022.
    85. Lingwei Kong, 2023. "Weak (Proxy) Factors Robust Hansen-Jagannathan Distance For Linear Asset Pricing Models," Papers 2307.14499, arXiv.org.
    86. Silvia Gonçalves & Benoit Perron, 2012. "Bootstrapping factor-augmented regression models," CIRANO Working Papers 2012s-12, CIRANO.
    87. He, Yi & Jaidee, Sombut & Gao, Jiti, 2023. "Most powerful test against a sequence of high dimensional local alternatives," Journal of Econometrics, Elsevier, vol. 234(1), pages 151-177.
    88. Corona, Francisco & Orraca, Pedro, 2016. "Remittances in Mexico and their unobserved components," DES - Working Papers. Statistics and Econometrics. WS 22674, Universidad Carlos III de Madrid. Departamento de Estadística.
    89. Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
    90. Kelly, Bryan & Pruitt, Seth, 2015. "The three-pass regression filter: A new approach to forecasting using many predictors," Journal of Econometrics, Elsevier, vol. 186(2), pages 294-316.
    91. Xin-Bing Kong, 2017. "On the number of common factors with high-frequency data," Biometrika, Biometrika Trust, vol. 104(2), pages 397-410.
    92. Perez, M. Fabricio & Shkilko, Andriy & Sokolov, Konstantin, 2015. "Factor models for binary financial data," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 177-188.
    93. Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
    94. Wanbo Lu & Guanglin Huang & Kris Boudt, 2024. "Estimation of Non-Gaussian Factors Using Higher-order Multi-cumulants in Weak Factor Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1085, Ghent University, Faculty of Economics and Business Administration.
    95. M. Hashem Pesaran & Ron P. Smith, 2021. "Factor Strengths, Pricing Errors, and Estimation of Risk Premia," CESifo Working Paper Series 8947, CESifo.
    96. Yi He & Sombut Jaidee & Jiti Gao, 2020. "Most Powerful Test against High Dimensional Free Alternatives," Monash Econometrics and Business Statistics Working Papers 13/20, Monash University, Department of Econometrics and Business Statistics.
    97. Wang, Qinwen & Silverstein, Jack W. & Yao, Jian-feng, 2014. "A note on the CLT of the LSS for sample covariance matrix from a spiked population model," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 194-207.
    98. Bai, Jushan & Liao, Yuan, 2016. "Efficient estimation of approximate factor models via penalized maximum likelihood," Journal of Econometrics, Elsevier, vol. 191(1), pages 1-18.
    99. Ruoxuan Xiong & Markus Pelger, 2019. "Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference," Papers 1910.08273, arXiv.org, revised Jan 2022.
    100. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    101. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.
    102. Matthieu Stigler & David Lobell, 2024. "Optimal index insurance and basis risk decomposition: an application to Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 306-329, January.
    103. Abdelkamel Alj & Rajae Azrak & Guy Melard, 2014. "On Conditions in Central Limit Theorems for Martingale Difference Arrays Long Version," Working Papers ECARES ECARES 2014-05, ULB -- Universite Libre de Bruxelles.
    104. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.
    105. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    106. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.
    107. Maurizio Daniele & Julie Schnaitmann, 2019. "A Regularized Factor-augmented Vector Autoregressive Model," Papers 1912.06049, arXiv.org.
    108. Kapetanios, G. & Pesaran, M.H. & Reese, S., 2021. "Detection of units with pervasive effects in large panel data models," Journal of Econometrics, Elsevier, vol. 221(2), pages 510-541.
    109. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.

  8. Henry, Marc & Onatski, Alexei, 2012. "Set coverage and robust policy," Economics Letters, Elsevier, vol. 115(2), pages 256-257.
    See citations under working paper version above.
  9. Alexei Onatski, 2010. "Determining the Number of Factors from Empirical Distribution of Eigenvalues," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1004-1016, November.

    Cited by:

    1. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    2. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    3. Guo, Wenwen & Cui, Hengjian, 2019. "Projection tests for high-dimensional spiked covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 21-32.
    4. Jin, Xisong & Nadal De Simone, Francisco, 2020. "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, vol. 49(C).
    5. Shi Yafeng & Ai Chunrong & Yanlong Shi & Ying Tingting & Xu Qunfang, 2023. "Large covariance estimation using a factor model with common and group‐specific factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2217-2248, December.
    6. Pegoraro, F. & Siegel, A. F. & Tiozzo Pezzoli, L., 2014. "Specification Analysis of International Treasury Yield Curve Factors," Working papers 490, Banque de France.
    7. Poncela, Pilar, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," JRC Working Papers in Economics and Finance 2021-13, Joint Research Centre, European Commission.
    9. Sungurtekin Hallam, Bahar, 2022. "Emerging market responses to external shocks: A cross-country analysis," Economic Modelling, Elsevier, vol. 115(C).
    10. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    11. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    12. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    13. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    14. Yan Zhou & Peter X.‐K. Song & Xiaoquan Wen, 2021. "Structural factor equation models for causal network construction via directed acyclic mixed graphs," Biometrics, The International Biometric Society, vol. 77(2), pages 573-586, June.
    15. Matteo Barigozzi & Daniele Massacci, 2022. "Modelling Large Dimensional Datasets with Markov Switching Factor Models," Papers 2210.09828, arXiv.org, revised Dec 2024.
    16. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    17. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    18. Daniel A. Dias & João B. Duarte, 2019. "Monetary policy, housing rents, and inflation dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 673-687, August.
    19. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.
    20. Maurizio Daniele & Winfried Pohlmeier & Aygul Zagidullina, 2018. "Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices," Working Paper Series of the Department of Economics, University of Konstanz 2018-07, Department of Economics, University of Konstanz.
    21. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    22. Yoshimasa Uematsu & Takashi Yamagata, 2020. "Inference in Weak Factor Models," ISER Discussion Paper 1080, Institute of Social and Economic Research, Osaka University.
    23. Kabundi, Alain & De Simone, Francisco Nadal, 2022. "Euro area banking and monetary policy shocks in the QE era," Journal of Financial Stability, Elsevier, vol. 63(C).
    24. Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    25. Daniel Czarnowske & Amrei Stammann, 2020. "Inference in Unbalanced Panel Data Models with Interactive Fixed Effects," Papers 2004.03414, arXiv.org.
    26. Galbraith, John W. & Zinde-Walsh, Victoria, 2020. "Simple and reliable estimators of coefficients of interest in a model with high-dimensional confounding effects," Journal of Econometrics, Elsevier, vol. 218(2), pages 609-632.
    27. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    28. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    29. Han, Xu & Inoue, Atsushi, 2015. "Tests For Parameter Instability In Dynamic Factor Models," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1117-1152, October.
    30. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
    31. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053r, Institute of Social and Economic Research, Osaka University, revised Mar 2020.
    32. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2013. "Understanding global liquidity," Discussion Papers 03/2013, Deutsche Bundesbank.
    33. Forni, Mario & Di Bonaventura, Luca & Pattarin, Francesco, 2018. "The Forcasting Performance of Dynamic Factor Models with Vintage Data," CEPR Discussion Papers 13034, C.E.P.R. Discussion Papers.
    34. 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.
    35. Barigozzi, Matteo & Conti, Antonio & Luciani, Matteo, 2012. "Do Euro area countries respond asymmetrically to the common monetary policy?," LSE Research Online Documents on Economics 43344, London School of Economics and Political Science, LSE Library.
    36. Alessandro Giovannelli & Tommaso Proietti, 2014. "On the Selection of Common Factors for Macroeconomic Forecasting," CREATES Research Papers 2014-46, Department of Economics and Business Economics, Aarhus University.
    37. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2018. "A Large Canadian Database for Macroeconomic Analysis," CIRANO Working Papers 2018s-25, CIRANO.
    38. Gupta, Rangan & Hammoudeh, Shawkat & Modise, Mampho P. & Nguyen, Duc Khuong, 2014. "Can economic uncertainty, financial stress and consumer sentiments predict U.S. equity premium?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 367-378.
    39. Wei Zhang, 2024. "Bayesian Dynamic Factor Models for High-dimensional Matrix-valued Time Series," Papers 2409.08354, arXiv.org, revised Nov 2024.
    40. Onatski, Alexei, 2012. "Asymptotics of the principal components estimator of large factor models with weakly influential factors," Journal of Econometrics, Elsevier, vol. 168(2), pages 244-258.
    41. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    42. Telila, Henok Fasil, 2023. "Frontier markets sovereign risk: New evidence from spatial econometric models," Finance Research Letters, Elsevier, vol. 58(PD).
    43. Miao, Ke & Phillips, Peter C.B. & Su, Liangjun, 2023. "High-dimensional VARs with common factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 155-183.
    44. Yongfu Huang & Muhammad G. Quibria, 2015. "The global partnership for sustainable development," Natural Resources Forum, Blackwell Publishing, vol. 39(3-4), pages 157-174, August.
    45. Ergemen, Yunus Emre, 2022. "Forecasting inflation rates with multi-level international dependence," Economics Letters, Elsevier, vol. 214(C).
    46. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
    47. AMMOURI, Bilel & TOUMI, Hassen & Zitouna, Habib, 2015. "Forecasting Inflation in Tunisia Using Dynamic Factors Model," MPRA Paper 65514, University Library of Munich, Germany.
    48. Francisco Corona & Graciela González-Farías & Pedro Orraca, 2017. "A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-35, December.
    49. Y Chen & X Li, 2022. "Determining the number of factors in high-dimensional generalized latent factor models [Eigenvalue ratio test for the number of factors]," Biometrika, Biometrika Trust, vol. 109(3), pages 769-782.
    50. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    51. Barigozzi, Matteo & Moneta, Alessio, 2016. "Identifying the independent sources of consumption variation," LSE Research Online Documents on Economics 60979, London School of Economics and Political Science, LSE Library.
    52. Moon, Hyungsik Roger & Shum, Matthew & Weidner, Martin, 2018. "Estimation of random coefficients logit demand models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 613-644.
    53. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2020. "Macroeconomic forecasting using approximate factor models with outliers," International Journal of Forecasting, Elsevier, vol. 36(2), pages 267-291.
    54. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    55. Seung C. Ahn & Alex R. Horenstein, 2017. "Asset Pricing and Excess Returns over the Market Return," Working Papers 2017-12, University of Miami, Department of Economics.
    56. Dovonon, Prosper & Taamouti, Abderrahim & Williams, Julian, 2022. "Testing the eigenvalue structure of spot and integrated covariance," Journal of Econometrics, Elsevier, vol. 229(2), pages 363-395.
    57. Shuquan Yang & Nengxiang Ling & Yulin Gong, 2022. "Robust estimation of the number of factors for the pair-elliptical factor models," Computational Statistics, Springer, vol. 37(3), pages 1495-1522, July.
    58. Giannoni, Marc & Boivin, Jean & Stevanovic, Dalibor, 2013. "Dynamic Effects of Credit Shocks in a Data-Rich Environment," CEPR Discussion Papers 9470, C.E.P.R. Discussion Papers.
    59. Martin Lettau & Markus Pelger, 2018. "Estimating Latent Asset-Pricing Factors," NBER Working Papers 24618, National Bureau of Economic Research, Inc.
    60. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    61. Liang Chen & Juan Dolado & Jesus Gonzalo, 2013. "Detecting Big Structural Breaks in Large Factor Models," Economics Series Working Papers 677, University of Oxford, Department of Economics.
    62. Bai, Jushan & Liao, Yuan, 2012. "Efficient Estimation of Approximate Factor Models," MPRA Paper 41558, University Library of Munich, Germany.
    63. Sergio Ortobelli & Noureddine Kouaissah & Tomáš Tichý, 2017. "On the impact of conditional expectation estimators in portfolio theory," Computational Management Science, Springer, vol. 14(4), pages 535-557, October.
    64. Mattia Guerini & Mauro Napoletano & Claudio Barbieri, 2024. "The anatomy of government bond yields synchronization in the Eurozone," SciencePo Working papers Main hal-04530954, HAL.
    65. Hyungsik Roger Moon & Martin Weidner, 2019. "Nuclear norm regularized estimation of panel regression models," CeMMAP working papers CWP14/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    66. Fan, Jianqing & Liao, Yuan & Shi, Xiaofeng, 2015. "Risks of large portfolios," Journal of Econometrics, Elsevier, vol. 186(2), pages 367-387.
    67. Aït-Sahalia, Yacine & Xiu, Dacheng, 2017. "Using principal component analysis to estimate a high dimensional factor model with high-frequency data," Journal of Econometrics, Elsevier, vol. 201(2), pages 384-399.
    68. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    69. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    70. Wei, Jie & Chen, Hui, 2020. "Determining the number of factors in approximate factor models by twice K-fold cross validation," Economics Letters, Elsevier, vol. 191(C).
    71. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    72. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
    73. Bai, Jushan & Duan, Jiangtao & Han, Xu, 2024. "The likelihood ratio test for structural changes in factor models," Journal of Econometrics, Elsevier, vol. 238(2).
    74. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    75. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "Estimation of large dimensional conditional factor models in finance," Working Papers unige:125031, University of Geneva, Geneva School of Economics and Management.
    76. Stefano Giglio & Dacheng Xiu, 2017. "Inference on Risk Premia in the Presence of Omitted Factors," NBER Working Papers 23527, National Bureau of Economic Research, Inc.
    77. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    78. Yunjung Kim & Cheolbeom Park, 2020. "Are exchange rates disconnected from macroeconomic variables? Evidence from the factor approach," Empirical Economics, Springer, vol. 58(4), pages 1713-1747, April.
    79. Antonia Arsova & Deniz Dilan Karaman Örsal, 2018. "Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1033-1050, November.
    80. Jie Wei & Yonghui Zhang, 2023. "Does Principal Component Analysis Preserve the Sparsity in Sparse Weak Factor Models?," Papers 2305.05934, arXiv.org, revised Nov 2024.
    81. Demir, Ishak & Eroglu, Burak A. & Yildirim-Karaman, Secil, 2021. "Heterogeneous effects of unconventional monetary policy on bond yields across the euro area," LEAF Working Paper Series 19-06, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF), revised 2021.
    82. Norman R. Swanson, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 348-353, July.
    83. Fu, Zhonghao & Hong, Yongmiao & Wang, Xia, 2023. "Testing for structural changes in large dimensional factor models via discrete Fourier transform," Journal of Econometrics, Elsevier, vol. 233(1), pages 302-331.
    84. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
    85. Poncela, Pilar & Ruiz, Esther, 2020. "A comment on the dynamic factor model with dynamic factors," Economics Discussion Papers 2020-7, Kiel Institute for the World Economy (IfW Kiel).
    86. Ginama, Isamu & Hayakawa, Kazuhiko & Kanmei, Takahiro, 2018. "Examining the Feldstein–Horioka puzzle using common factor panels and interval estimation," Japan and the World Economy, Elsevier, vol. 48(C), pages 11-21.
    87. FATUM, Rasmus & YAMAMOTO, Yohei & CHEN, Binwei, 2023. "The Trend Effect of Foreign Exchange Intervention," Discussion paper series HIAS-E-132, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    88. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Janeway Institute Working Papers 2218, Faculty of Economics, University of Cambridge.
    89. Antonia Arsova, 2019. "Exchange rate pass-through to import prices in Europe: A panel cointegration approach," Working Paper Series in Economics 384, University of Lüneburg, Institute of Economics.
    90. Richard D. F. Harris & Anh T. H. Nguyen, 2017. "Dynamic factor long memory volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1205-1221, August.
    91. Mao, Guangyu & Shen, Yan, 2019. "Bubbles or fundamentals? Modeling provincial house prices in China allowing for cross-sectional dependence," China Economic Review, Elsevier, vol. 53(C), pages 53-64.
    92. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    93. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    94. Xin-Bing Kong & Yong-Xin Liu & Long Yu & Peng Zhao, 2022. "Matrix Quantile Factor Model," Papers 2208.08693, arXiv.org, revised Aug 2024.
    95. Matteo Barigozzi, 2023. "Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models," Papers 2307.09864, arXiv.org, revised Jun 2024.
    96. Steffen Henzel & Malte Rengel, 2013. "Dimensions of macroeconomic uncertainty: A common factor analysis," ifo Working Paper Series 167, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    97. Mattia Guerini & Fabio Vanni & Mauro Napoletano, 2022. "E pluribus, quaedam. Gross domestic product out of a dashboard of indicators," LEM Papers Series 2022/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    98. Karaman Örsal, Deniz Dilan, 2014. "Do the global stochastic trends drive the real house prices in OECD countries?," Economics Letters, Elsevier, vol. 123(1), pages 9-13.
    99. Juan, Aranzazu de & Poncela, Maria Pilar, 2023. "Economic activity and C02 emissions in Spain," DES - Working Papers. Statistics and Econometrics. WS 37975, Universidad Carlos III de Madrid. Departamento de Estadística.
    100. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    101. Joakim Westerlund & Sagarika Mishra, 2017. "On the determination of the number of factors using information criteria with data-driven penalty," Statistical Papers, Springer, vol. 58(1), pages 161-184, March.
    102. Elizabeth Bucacos, 2017. "Impact of International Monetary Policy in Uruguay: A favar Approach," Investigación Conjunta-Joint Research, in: Ángel Estrada García & Alberto Ortiz Bolaños (ed.), International Spillovers of Monetary Policy, edition 1, chapter 10, pages 321-367, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    103. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    104. Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
    105. Sung Hoon Choi & Donggyu Kim, 2023. "Large Global Volatility Matrix Analysis Based on Observation Structural Information," Papers 2305.01464, arXiv.org, revised Feb 2024.
    106. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    107. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    108. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers 2201.06605, arXiv.org, revised Sep 2023.
    109. Hartigan, Luke & Morley, James, 2019. "A Factor Model Analysis of the Australian Economy and the Effects of Inflation Targeting," Working Papers 2019-10, University of Sydney, School of Economics, revised Nov 2019.
    110. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2023. "Latent Factor Analysis in Short Panels," Papers 2306.14004, arXiv.org, revised May 2024.
    111. Guo, Xiao & Chen, Yu & Tang, Cheng Yong, 2023. "Information criteria for latent factor models: A study on factor pervasiveness and adaptivity," Journal of Econometrics, Elsevier, vol. 233(1), pages 237-250.
    112. Zhaoxing Gao & Ruey S. Tsay, 2023. "Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors," Papers 2307.07689, arXiv.org.
    113. 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.
    114. Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    115. Roman Matkovskyy, 2016. "Arbitrary temporal heterogeneity in time of European countries panel model," Economics Bulletin, AccessEcon, vol. 36(1), pages 576-587.
    116. Giancarlo Corsetti & Joao B. Duarte & Samuel Mann, 2018. "One Money, Many Markets," Discussion Papers 1805, Centre for Macroeconomics (CFM).
    117. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    118. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
    119. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    120. Joel Bun & Jean-Philippe Bouchaud & Marc Potters, 2016. "Cleaning large correlation matrices: tools from random matrix theory," Papers 1610.08104, arXiv.org.
    121. Kunpeng Li & Qi Li & Lina Lu, 2018. "Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models," Supervisory Research and Analysis Working Papers RPA 18-2, Federal Reserve Bank of Boston.
    122. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    123. Nancy Kong & Uwe Dulleck & Adam B. Jaffe & Shupeng Sun & Sowmya Vajjala, 2020. "Linguistic Metrics for Patent Disclosure: Evidence from University Versus Corporate Patents," NBER Working Papers 27803, National Bureau of Economic Research, Inc.
    124. Francesca Di Iorio & Stefano Fachin, 2017. "Evaluating Restricted Common Factor models for non-stationary data," DSS Empirical Economics and Econometrics Working Papers Series 2017/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    125. Uluc Aysun & Takeshi Yagihashi, 2017. "The common sources of business cycles in Trans-Pacific countries and the U.S.? A comparison with NAFTA," Working Papers 2017-03, University of Central Florida, Department of Economics.
    126. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    127. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson & Yaping Wang, 2024. "Performance of Empirical Risk Minimization For Principal Component Regression," Papers 2409.03606, arXiv.org, revised Sep 2024.
    128. Jiang, Pan & Perez, M. Fabricio, 2021. "Follow the leader: Index tracking with factor models," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 337-350.
    129. Antonia Arsova, 2021. "Exchange rate pass-through to import prices in Europe: a panel cointegration approach," Empirical Economics, Springer, vol. 61(1), pages 61-100, July.
    130. Barry Eichengreen & Ashoka Mody & Milan Nedeljkovic & Lucio Sarno, 2012. "How the Subprime Crisis Went Global: Evidence from Bank Credit Default Swap Spreads," Working papers 21, National Bank of Serbia.
    131. Matteo Barigozzi & Claudio Lissona & Lorenzo Tonni, 2024. "Large datasets for the Euro Area and its member countries and the dynamic effects of the common monetary policy," Papers 2410.05082, arXiv.org.
    132. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    133. Wu, Jianhong, 2016. "Robust determination for the number of common factors in the approximate factor models," Economics Letters, Elsevier, vol. 144(C), pages 102-106.
    134. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    135. Hyungsik Roger Moon & Matthew Shum & Martin Weidner, 2017. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 12/17, Institute for Fiscal Studies.
    136. Francisco Corona & Pilar Poncela & Esther Ruiz, 2020. "Estimating Non-stationary Common Factors: Implications for Risk Sharing," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 37-60, January.
    137. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    138. Ron Alquist & Olivier Coibion, 2014. "Commodity Price Co-Movement and Global Economic Activity," Staff Working Papers 14-32, Bank of Canada.
    139. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2012. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 08/12, Institute for Fiscal Studies.
    140. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Cambridge Working Papers in Economics 2242, Faculty of Economics, University of Cambridge.
    141. Kabundi, Alain & De Simone, Francisco Nadal, 2020. "Monetary policy and systemic risk-taking in the euro area banking sector," Economic Modelling, Elsevier, vol. 91(C), pages 736-758.
    142. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
    143. Choi, In & Lin, Rui & Shin, Yongcheol, 2023. "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 22-44.
    144. Ryan Greenaway‐McGrevy & Nelson C. Mark & Donggyu Sul & Jyh‐Lin Wu, 2018. "Identifying Exchange Rate Common Factors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2193-2218, November.
    145. Funke, Michael & Tsang, Andrew, 2019. "The direction and intensity of China's monetary policy conduct: A dynamic factor modelling approach," BOFIT Discussion Papers 8/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    146. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    147. Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024. "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    148. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    149. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    150. In Choi & Rui Lin & Yongcheol Shin, 2020. "Online Appendix for Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2009, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    151. Hyodo, Masashi & Nishiyama, Takahiro & Pavlenko, Tatjana, 2023. "A Behrens–Fisher problem for general factor models in high dimensions," Journal of Multivariate Analysis, Elsevier, vol. 195(C).
    152. Chen, Binbin & Huang, Shih-Feng & Pan, Guangming, 2015. "High dimensional mean–variance optimization through factor analysis," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 140-159.
    153. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    154. Picchio, Matteo, 2021. "Microchip Bags and Waste Sorting," GLO Discussion Paper Series 772, Global Labor Organization (GLO).
    155. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    156. Gribisch, Bastian, 2013. "A latent dynamic factor approach to forecasting multivariate stock market volatility," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79823, Verein für Socialpolitik / German Economic Association.
    157. Noureddine Kouaissah & Sergio Ortobelli Lozza & Ikram Jebabli, 2022. "Portfolio Selection Using Multivariate Semiparametric Estimators and a Copula PCA-Based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 833-859, October.
    158. Laumer, Sebastian & Violaris, Andreas-Entony, 2024. "Unconventional monetary policy and policy foresight," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    159. Chen, Liang, 2012. "Identifying observed factors in approximate factor models: estimation and hypothesis testing," MPRA Paper 37514, University Library of Munich, Germany.
    160. Chen, Yunxiao & Li, Xiaoou, 2022. "Determining the number of factors in high-dimensional generalized latent factor models," LSE Research Online Documents on Economics 111574, London School of Economics and Political Science, LSE Library.
    161. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    162. Qin, Duo & Cagas, Marie Anne & Ducanes, Geoffrey & Magtibay-Ramos, Nedelyn & Quising, Pilipinas F., 2007. "Measuring Regional Market Integration in Developing Asia: a Dynamic Factor Error Correction Model (DF-ECM) Approach," Working Papers on Regional Economic Integration 8, Asian Development Bank.
    163. 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).
    164. Kerry B. Hudson & Joaquin L. Vespignani, 2014. "Understanding the Deviations of the Taylor Rule: A New Methodology with an Application to Australia," CAMA Working Papers 2014-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    165. Mingli Chen & Ivan Fernandez-Val & Martin Weidner, 2018. "Nonlinear factor models for network and panel data," CeMMAP working papers CWP38/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    166. Markus Pelger & Jiacheng Zou, 2022. "Inference for Large Panel Data with Many Covariates," Papers 2301.00292, arXiv.org, revised Mar 2023.
    167. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    168. Xialu Liu & John Guerard & Rong Chen & Ruey Tsay, 2024. "Improving Estimation of Portfolio Risk Using New Statistical Factors," Papers 2409.17182, arXiv.org.
    169. Di Casola, Paola & Habib, Maurizio Michael & Tercero-Lucas, David, 2023. "Global and local drivers of Bitcoin trading vis-à-vis fiat currencies," Working Paper Series 2868, European Central Bank.
    170. Marc Hallin & Marcelo Moreira J. & Alexei Onatski, 2013. "Group Invariance, Likelihood Ratio Tests, and the Incidental Parameter Problem in a High-Dimensional Linear Model," Working Papers ECARES ECARES 2013-04, ULB -- Universite Libre de Bruxelles.
    171. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    172. Oliver Linton & Maximilian Ruecker & Michael Vogt & Christopher Walsh, 2022. "Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects," Papers 2206.12152, arXiv.org, revised Nov 2024.
    173. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
    174. Pelger, Markus, 2019. "Large-dimensional factor modeling based on high-frequency observations," Journal of Econometrics, Elsevier, vol. 208(1), pages 23-42.
    175. Rachida Ouysse, 2019. "Constrained principal components estimation of large approximate factor models," Discussion Papers 2017-12a, School of Economics, The University of New South Wales.
    176. Tan, Ying & Sha, Wenbiao & Paudel, Krishna, 2017. "The Impact of Monetary Policy on Agricultural Price Index in China: A FAVAR Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252676, Southern Agricultural Economics Association.
    177. Mehmet Caner & Xu Han, 2014. "Selecting the Correct Number of Factors in Approximate Factor Models: The Large Panel Case With Group Bridge Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 359-374, July.
    178. Franz Ruch & Mehmet Balcilar Author-Name-First Mehmet & Mampho P. Modise & Rangan Gupta, 2015. "Forecasting Core Inflation: The Case of South Africa," Working Papers 15-08, Eastern Mediterranean University, Department of Economics.
    179. Francisco Corona & Nelson Muriel & Jesús López-Pérez, 2023. "Who is the greatest team in Liga MX? A dynamic analysis/¿Cuál es el equipo más grande de la Liga MX? Un análisis dinámico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 38(2), pages 225–260-2.
    180. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2018. "One money, many markets: a factor model approach to monetary policy in the Euro Area with high-frequency identification," LSE Research Online Documents on Economics 87182, London School of Economics and Political Science, LSE Library.
    181. Hudson, Kerry & Vespignani, Joaquin L., 2015. "Understanding the Taylor Rule in Australia," MPRA Paper 104679, University Library of Munich, Germany.
    182. Sung Hoon Choi & Donggyu Kim, 2022. "Large Volatility Matrix Analysis Using Global and National Factor Models," Papers 2208.12323, arXiv.org, revised Dec 2022.
    183. Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2019. "Spiked Eigenvalues of High-Dimensional Separable Sample Covariance Matrices," Monash Econometrics and Business Statistics Working Papers 31/19, Monash University, Department of Econometrics and Business Statistics.
    184. Baltagi, Badi H. & Kao, Chihwa & Wang, Fa, 2016. "Estimating and testing high dimensional factor models with multiple structural changes," MPRA Paper 98489, University Library of Munich, Germany, revised 26 Jul 2019.
    185. Yu, Long & He, Yong & Zhang, Xinsheng, 2019. "Robust factor number specification for large-dimensional elliptical factor model," Journal of Multivariate Analysis, Elsevier, vol. 174(C).
    186. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    187. Hörmann, Siegfried & Jammoul, Fatima, 2023. "Prediction in functional regression with discretely observed and noisy covariates," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    188. Mr. Ron Alquist & Mr. Olivier Coibion, 2013. "The Comovement in Commodity Prices: Sources and Implications," IMF Working Papers 2013/140, International Monetary Fund.
    189. Michael Funke & Andrew Tsang, 2021. "The Direction and Intensity of China’s Monetary Policy: A Dynamic Factor Modelling Approach," The Economic Record, The Economic Society of Australia, vol. 97(316), pages 100-122, March.
    190. Gao, Zhaoxing & Tsay, Ruey S., 2023. "A Two-Way Transformed Factor Model for Matrix-Variate Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 83-101.
    191. Jack Fosten, 2016. "Model selection with factors and variables," University of East Anglia School of Economics Working Paper Series 2016-07, School of Economics, University of East Anglia, Norwich, UK..
    192. Noureddine Kouaissah & Amin Hocine, 2021. "Forecasting systemic risk in portfolio selection: The role of technical trading rules," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 708-729, July.
    193. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    194. Forni, Mario & Cavicchioli, Maddalena & Lippi, Marco & Zaffaroni, Paolo, 2016. "Eigenvalue Ratio Estimators for the Number of Common Factors," CEPR Discussion Papers 11440, C.E.P.R. Discussion Papers.
    195. Isabel Casas & Jiti Gao & Shangyu Xie, 2018. "Modelling Time-Varying Income Elasticities of Health Care Expenditure for the OECD," CREATES Research Papers 2018-29, Department of Economics and Business Economics, Aarhus University.
    196. De Vos, Ignace & Everaert, Gerdie & Sarafidis, Vasilis, 2021. "A method for evaluating the rank condition for CCE estimators," MPRA Paper 112305, University Library of Munich, Germany, revised 09 Mar 2022.
    197. Matteo Picchio, 2023. "Microchipped bags and waste sorting," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(1), pages 1-30, January.
    198. Andrés García-Medina & Graciela González Farías, 2020. "Transfer entropy as a variable selection methodology of cryptocurrencies in the framework of a high dimensional predictive model," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-31, January.
    199. Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
    200. Daniel Armeanu & Jean Vasile Andrei & Leonard Lache & Mirela Panait, 2017. "A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    201. Miao, Ke & Li, Kunpeng & Su, Liangjun, 2020. "Panel threshold models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 219(1), pages 137-170.
    202. Zhang, Yixiao & Yu, Cindy L. & Li, Haitao, 2022. "Nowcasting GDP Using Dynamic Factor Model with Unknown Number of Factors and Stochastic Volatility: A Bayesian Approach," Econometrics and Statistics, Elsevier, vol. 24(C), pages 75-93.
    203. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    204. Barbarino, Alessandro & Bura, Efstathia, 2024. "Forecasting Near-equivalence of Linear Dimension Reduction Methods in Large Panels of Macro-variables," Econometrics and Statistics, Elsevier, vol. 31(C), pages 1-18.
    205. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    206. Otter, Pieter W. & Jacobs, Jan P.A.M. & Reijer, Ard H.J. de, 2014. "A criterion for the number of factors in a data-rich environment," Research Report 14008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    207. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    208. Hörmann, Siegfried & Jammoul, Fatima, 2022. "Consistently recovering the signal from noisy functional data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    209. Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    210. Magdalena Erdem & Kostas Tsatsaronis, 2013. "Financial conditions and economic activity: a statistical approach," BIS Quarterly Review, Bank for International Settlements, March.
    211. Yamamoto, Yohei & Tanaka, Shinya, 2015. "Testing for factor loading structural change under common breaks," Journal of Econometrics, Elsevier, vol. 189(1), pages 187-206.
    212. Martin Solberger & Erik Spånberg, 2020. "Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 875-900, March.
    213. Forni, Mario & Gambetti, Luca, 2011. "Testing for Sufficient Information in Structural VARs," CEPR Discussion Papers 8209, C.E.P.R. Discussion Papers.
    214. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    215. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2020. "One Money, Many Markets: Monetary Transmission and Housing Financing in the Euro Area," CEPR Discussion Papers 14968, C.E.P.R. Discussion Papers.
    216. Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
    217. Roman Matkovskyy, 2016. "A comparison of pre- and post-crisis efficiency of OECD countries: evidence from a model with temporal heterogeneity in time and unobservable individual effect," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 135-167, December.
    218. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    219. Corona, Francisco & Orraca, Pedro, 2016. "Remittances in Mexico and their unobserved components," DES - Working Papers. Statistics and Econometrics. WS 22674, Universidad Carlos III de Madrid. Departamento de Estadística.
    220. Karaman Örsal, Deniz Dilan & Arsova, Antonia, 2017. "Meta-analytic cointegrating rank tests for dependent panels," Econometrics and Statistics, Elsevier, vol. 2(C), pages 61-72.
    221. Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
    222. Xia, Qiang & Liang, Rubing & Wu, Jianhong, 2017. "Transformed contribution ratio test for the number of factors in static approximate factor models," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 235-241.
    223. Wang, Cindy S.H. & Chen, Yi-Chi & Lo, Hsin-Yu, 2021. "A fresh look at the risk-return tradeoff," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    224. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    225. Y. -F. Li & G. Papanicolaou, 2024. "Statistical Arbitrage in Rank Space," Papers 2410.06568, arXiv.org.
    226. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2020. "Global vs Sectoral Factors and the Impact of the Financialization in Commodity Price Changes," Open Economies Review, Springer, vol. 31(4), pages 859-879, September.
    227. Ángel Estrada García & Alberto Ortiz Bolaños (ed.), 2017. "International Spillovers of Monetary Policy," Investigación Conjunta-Joint Research, Centro de Estudios Monetarios Latinoamericanos, CEMLA, edition 1, volume 1, number 3, December.
    228. Henok Fasil Telila, 2024. "Frontier markets sovereign risk: New evidence from spatial econometric models," French Stata Users' Group Meetings 2024 10, Stata Users Group.
    229. Perez, M. Fabricio & Shkilko, Andriy & Sokolov, Konstantin, 2015. "Factor models for binary financial data," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 177-188.
    230. Elizabeth Bucacos, 2015. "Impact of international monetary policy in Uruguay: a FAVAR approach," Documentos de trabajo 2015003, Banco Central del Uruguay.
    231. Dai, Chaoxing & Lu, Kun & Xiu, Dacheng, 2019. "Knowing factors or factor loadings, or neither? Evaluating estimators of large covariance matrices with noisy and asynchronous data," Journal of Econometrics, Elsevier, vol. 208(1), pages 43-79.
    232. Demir, Ishak, 2019. "International Spillovers of U.S. Monetary Policy," LEAF Working Paper Series 19-02, University of Lincoln, Lincoln International Business School, Lincoln Economics and Finance Research Group (LEAF).
    233. Atak, Alev & Kapetanios, George, 2013. "A factor approach to realized volatility forecasting in the presence of finite jumps and cross-sectional correlation in pricing errors," Economics Letters, Elsevier, vol. 120(2), pages 224-228.
    234. Xu Lin & Lizi Wu, 2021. "Interdependence among mental health care providers: evidence from a spatial dynamic panel data model with interactive fixed effects," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 131-165, August.
    235. Yoshiki Nakajima & Naoya Sueishi, 2022. "Forecasting the Japanese macroeconomy using high-dimensional data," The Japanese Economic Review, Springer, vol. 73(2), pages 299-324, April.
    236. Liu, Hao, 2019. "The communication and European Regional economic growth: The interactive fixed effects approach," Economic Modelling, Elsevier, vol. 83(C), pages 299-311.
    237. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
    238. Shi, Wei & Lee, Lung-fei, 2017. "Spatial dynamic panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 197(2), pages 323-347.
    239. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017. "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 244-264.
    240. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
    241. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.
    242. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    243. Zhaoxing Gao & Ruey S. Tsay, 2020. "A Two-Way Transformed Factor Model for Matrix-Variate Time Series," Papers 2011.09029, arXiv.org.
    244. Wanbo Lu & Guanglin Huang & Kris Boudt, 2024. "Estimation of Non-Gaussian Factors Using Higher-order Multi-cumulants in Weak Factor Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 24/1085, Ghent University, Faculty of Economics and Business Administration.
    245. Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2023. "Eigen-Analysis for High-Dimensional Time Series Clustering," Monash Econometrics and Business Statistics Working Papers 22/23, Monash University, Department of Econometrics and Business Statistics.
    246. Bodnar, Taras & Reiß, Markus, 2016. "Exact and asymptotic tests on a factor model in low and large dimensions with applications," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 125-151.
    247. Wang, Qinwen & Silverstein, Jack W. & Yao, Jian-feng, 2014. "A note on the CLT of the LSS for sample covariance matrix from a spiked population model," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 194-207.
    248. Takeshi Yagihashi & David D. Selover, 2017. "How Do the Trans-Pacific Economies Affect the USA? An Industrial Sector Approach," The World Economy, Wiley Blackwell, vol. 40(10), pages 2097-2124, October.
    249. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    250. Bai, Jushan & Liao, Yuan, 2016. "Efficient estimation of approximate factor models via penalized maximum likelihood," Journal of Econometrics, Elsevier, vol. 191(1), pages 1-18.
    251. Huang, Dashan & Jiang, Fuwei & Li, Kunpeng & Tong, Guoshi & Zhou, Guofu, 2023. "Are bond returns predictable with real-time macro data?," Journal of Econometrics, Elsevier, vol. 237(2).
    252. Zhonghui Zhang & Huarui Jing & Chihwa Kao, 2023. "High-Dimensional Distributionally Robust Mean-Variance Efficient Portfolio Selection," Mathematics, MDPI, vol. 11(5), pages 1-16, March.
    253. Kevin Sheppard & Wen Xu, 2019. "Factor High-Frequency-Based Volatility (HEAVY) Models," Journal of Financial Econometrics, Oxford University Press, vol. 17(1), pages 33-65.
    254. Shi, Wei & Lee, Lung-fei, 2018. "A spatial panel data model with time varying endogenous weights matrices and common factors," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 6-34.
    255. Hyungsik Roger Roger Moon & Matthew Shum & Martin Weidner, 2014. "Estimation of random coefficients logit demand models with interactive fixed effects," CeMMAP working papers 20/14, Institute for Fiscal Studies.
    256. Bresson, Georges & Etienne, Jean-Michel & Lacroix, Guy, 2023. "Nighttime Light Pollution and Economic Activities: A Spatio-Temporal Model with Common Factors for US Counties," IZA Discussion Papers 16342, Institute of Labor Economics (IZA).
    257. Ashish Patel & Dipender Gill & Paul Newcombe & Stephen Burgess, 2023. "Conditional inference in cis‐Mendelian randomization using weak genetic factors," Biometrics, The International Biometric Society, vol. 79(4), pages 3458-3471, December.
    258. Yunus Emre Ergemen, 2022. "Parametric Estimation of Long Memory in Factor Models," CREATES Research Papers 2022-10, Department of Economics and Business Economics, Aarhus University.
    259. António Rua & Francisco Dias, 2020. "A non-hierarchical dynamic factor model for three-way data," Working Papers w202007, Banco de Portugal, Economics and Research Department.
    260. Ding, Yi & Li, Yingying & Zheng, Xinghua, 2021. "High dimensional minimum variance portfolio estimation under statistical factor models," Journal of Econometrics, Elsevier, vol. 222(1), pages 502-515.
    261. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    262. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    263. Hou, Lei & Li, Kunpeng & Li, Qi & Ouyang, Min, 2021. "Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks," Journal of Econometrics, Elsevier, vol. 221(2), pages 483-509.
    264. Younghoon Kim & Marie-Christine Duker & Zachary F. Fisher & Vladas Pipiras, 2023. "Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series," Papers 2307.10454, arXiv.org, revised Jul 2024.
    265. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    266. Sebastian Linde, 2023. "Hospital cost efficiency: an examination of US acute care inpatient hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 325-344, September.
    267. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    268. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.
    269. Boot, Tom, 2023. "Joint inference based on Stein-type averaging estimators in the linear regression model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1542-1563.
    270. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    271. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    272. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    273. Mohan Subbiah & Frank J Fabozzi, 2016. "Equity style allocation: A nonparametric approach," Journal of Asset Management, Palgrave Macmillan, vol. 17(3), pages 141-164, May.
    274. Alessandro Barbarino & Efstathia Bura, 2017. "A Unified Framework for Dimension Reduction in Forecasting," Finance and Economics Discussion Series 2017-004, Board of Governors of the Federal Reserve System (U.S.).
    275. Matthieu Stigler & David Lobell, 2024. "Optimal index insurance and basis risk decomposition: an application to Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 306-329, January.
    276. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.
    277. Francisco Corona & Graciela Gonz'alez-Far'ias & Jes'us L'opez-P'erez, 2021. "A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19," Papers 2101.10383, arXiv.org.
    278. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.
    279. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.
    280. Xin Shi & Robert Qiu, 2019. "Estimation of high-dimensional factor models and its application in power data analysis," Papers 1905.02061, arXiv.org, revised Oct 2019.
    281. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    282. Bada, Oualid & Liebl, Dominik, 2014. "phtt: Panel Data Analysis with Heterogeneous Time Trends in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i06).
    283. Baek, Changryong & Gates, Katheleen M. & Leinwand, Benjamin & Pipiras, Vladas, 2021. "Two sample tests for high-dimensional autocovariances," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
    284. Mouloud El Hafidi & Marouane Daoui, 2019. "Chocs de la politique monétaire et croissance économique au Maroc : une approche en terme de modèles FAVAR," Post-Print hal-03311354, HAL.

  10. Alexei Onatski, 2009. "Testing Hypotheses About the Number of Factors in Large Factor Models," Econometrica, Econometric Society, vol. 77(5), pages 1447-1479, September.

    Cited by:

    1. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    2. Mario Forni & Luca Gambetti & Luca Sala, 2011. "No News in Business Cycles," Working Papers 535, Barcelona School of Economics.
    3. Xun Lu & Su Liangjun, 2015. "Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects," Working Papers 02-2015, Singapore Management University, School of Economics.
    4. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    5. Guo, Wenwen & Cui, Hengjian, 2019. "Projection tests for high-dimensional spiked covariance matrices," Journal of Multivariate Analysis, Elsevier, vol. 169(C), pages 21-32.
    6. Jin, Xisong & Nadal De Simone, Francisco, 2020. "Monetary policy and systemic risk-taking in the Euro area investment fund industry: A structural factor-augmented vector autoregression analysis," Journal of Financial Stability, Elsevier, vol. 49(C).
    7. Qin, Duo & He, Xinhua, 2012. "Modelling the impact of aggregate financial shocks external to the Chinese economy," BOFIT Discussion Papers 25/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
    9. Liu, Yan & Bai, Zhidong & Li, Hua & Hu, Jiang & Lv, Zhihui & Zheng, Shurong, 2022. "RDS free CLT for spiked eigenvalues of high-dimensional covariance matrices," Statistics & Probability Letters, Elsevier, vol. 187(C).
    10. GUO-FITOUSSI, Liang, 2013. "A Comparison of the Finite Sample Properties of Selection Rules of Factor Numbers in Large Datasets," MPRA Paper 50005, University Library of Munich, Germany.
    11. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015. "Dynamic factor models with infinite-dimensional factor spaces: One-sided representations," Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
    12. Kong, Xin-Bing & Liu, Zhi & Zhou, Wang, 2019. "A rank test for the number of factors with high-frequency data," Journal of Econometrics, Elsevier, vol. 211(2), pages 439-460.
    13. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," CESifo Working Paper Series 3722, CESifo.
    14. Matteo Luciani, 2015. "Monetary Policy and the Housing Market: A Structural Factor Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 199-218, March.
    15. Yan Zhou & Peter X.‐K. Song & Xiaoquan Wen, 2021. "Structural factor equation models for causal network construction via directed acyclic mixed graphs," Biometrics, The International Biometric Society, vol. 77(2), pages 573-586, June.
    16. Michael D. Bauer, 2015. "Nominal Interest Rates and the News," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 295-332, March.
    17. Matteo Luciani & Libero Monteforte, 2012. "Uncertainty and Heterogeneity in factor models forecasting," Working Papers 5, Department of the Treasury, Ministry of the Economy and of Finance.
    18. Molero-González, L. & Trinidad-Segovia, J.E. & Sánchez-Granero, M.A. & García-Medina, A., 2023. "Market Beta is not dead: An approach from Random Matrix Theory," Finance Research Letters, Elsevier, vol. 55(PA).
    19. Afanasyeva, Elena & Güntner, Jochen, 2014. "Lending standards, credit booms and monetary policy," IMFS Working Paper Series 85, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    20. Anna Bykhovskaya & Vadim Gorin, 2023. "High-Dimensional Canonical Correlation Analysis," Papers 2306.16393, arXiv.org, revised Aug 2023.
    21. Brian D. O. Anderson & Manfred Deistler & Marco Lippi, 2022. "Linear System Challenges of Dynamic Factor Models," Econometrics, MDPI, vol. 10(4), pages 1-26, December.
    22. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    23. Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    24. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    25. Pilar Poncela & Esther Ruiz, 2016. "Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 401-434, Emerald Group Publishing Limited.
    26. Heckman, James J. & Pinto, Rodrigo, 2013. "Econometric Mediation Analyses: Identifying the Sources of Treatment Effects from Experimentally Estimated Production Technologies with Unmeasured and Mismeasured Inputs," IZA Discussion Papers 7552, Institute of Labor Economics (IZA).
    27. Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
    28. Barigozzi, Matteo & Conti, Antonio & Luciani, Matteo, 2012. "Do Euro area countries respond asymmetrically to the common monetary policy?," LSE Research Online Documents on Economics 43344, London School of Economics and Political Science, LSE Library.
    29. Alexei Onatski & Francisco Ruge‐Murcia, 2013. "Factor Analysis Of A Large Dsge Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 903-928, September.
    30. Conti, Gabriella & Frühwirth-Schnatter, Sylvia & Heckman, James J. & Piatek, Rémi, 2014. "Bayesian Exploratory Factor Analysis," IZA Discussion Papers 8338, Institute of Labor Economics (IZA).
    31. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    32. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Heterogeneity, co-movements and financial fragmentation within the euro area," Ruhr Economic Papers 927, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    33. Ard H. J. den Reijer & Pieter W. Otter & Jan P. A. M. Jacobs, 2024. "An heuristic scree plot criterion for the number of factors," Statistical Papers, Springer, vol. 65(6), pages 3991-4000, August.
    34. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    35. James Heckman & Rodrigo Pinto & Peter Savelyev, 2013. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
    36. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2020. "Macroeconomic forecasting using approximate factor models with outliers," International Journal of Forecasting, Elsevier, vol. 36(2), pages 267-291.
    37. Shuquan Yang & Nengxiang Ling & Yulin Gong, 2022. "Robust estimation of the number of factors for the pair-elliptical factor models," Computational Statistics, Springer, vol. 37(3), pages 1495-1522, July.
    38. Mario Forni & Luca Gambetti, 2010. "Macroeconomic Shocks and the Business Cycle: Evidence from a Structural Factor Model," Center for Economic Research (RECent) 040, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    39. Xiao Huang, 2023. "Composite Quantile Factor Model," Papers 2308.02450, arXiv.org, revised Nov 2024.
    40. Liang Chen & Juan Dolado & Jesus Gonzalo, 2013. "Detecting Big Structural Breaks in Large Factor Models," Economics Series Working Papers 677, University of Oxford, Department of Economics.
    41. Ling-Ni Boon & Florian Ielpo, 2016. "An anatomy of global risk premiums," Journal of Asset Management, Palgrave Macmillan, vol. 17(4), pages 229-243, July.
    42. Mattia Guerini & Mauro Napoletano & Claudio Barbieri, 2024. "The anatomy of government bond yields synchronization in the Eurozone," SciencePo Working papers Main hal-04530954, HAL.
    43. Joakim Westerlund, 2020. "A cross‐section average‐based principal components approach for fixed‐T panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 776-785, September.
    44. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    45. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.
    46. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    47. Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
    48. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge.
    49. In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    50. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
    51. Bai, Jushan & Duan, Jiangtao & Han, Xu, 2024. "The likelihood ratio test for structural changes in factor models," Journal of Econometrics, Elsevier, vol. 238(2).
    52. Forni, Mario & Giovannelli, Alessandro & Lippi, Marco & Soccorsi, Stefano, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," CEPR Discussion Papers 11161, C.E.P.R. Discussion Papers.
    53. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    54. Artūras Juodis & Simas Kučinskas, 2023. "Quantifying noise in survey expectations," Quantitative Economics, Econometric Society, vol. 14(2), pages 609-650, May.
    55. Julien Chevallier & Florian Ielpo & Ling-Ni Boon, 2013. "Common risk factors in commodities," Economics Bulletin, AccessEcon, vol. 33(4), pages 2801-2816.
    56. Fu, Zhonghao & Hong, Yongmiao & Wang, Xia, 2023. "Testing for structural changes in large dimensional factor models via discrete Fourier transform," Journal of Econometrics, Elsevier, vol. 233(1), pages 302-331.
    57. Panagiotidis, Theodore & Printzis, Panagiotis, 2020. "What is the investment loss due to uncertainty?," Global Finance Journal, Elsevier, vol. 45(C).
    58. He, Yong & Kong, Xinbing & Trapani, Lorenzo & Yu, Long, 2023. "One-way or two-way factor model for matrix sequences?," Journal of Econometrics, Elsevier, vol. 235(2), pages 1981-2004.
    59. Barigozzi, Matteo & Lippi, Marco & Luciani, Matteo, 2021. "Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors," Journal of Econometrics, Elsevier, vol. 221(2), pages 455-482.
    60. Aboura, Sofiane & Chevallier, Julien, 2014. "Cross-market index with Factor-DCC," Economic Modelling, Elsevier, vol. 40(C), pages 158-166.
    61. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    62. Joakim Westerlund & Sagarika Mishra, 2017. "On the determination of the number of factors using information criteria with data-driven penalty," Statistical Papers, Springer, vol. 58(1), pages 161-184, March.
    63. Christian M. Hafner & Oliver Linton & Haihan Tang, 2016. "Estimation of a Multiplicative Covariance Structure," CeMMAP working papers CWP23/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    64. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    65. Jin, Sainan & Miao, Ke & Su, Liangjun, 2021. "On factor models with random missing: EM estimation, inference, and cross validation," Journal of Econometrics, Elsevier, vol. 222(1), pages 745-777.
    66. Ali Babikir & Henry Mwambi, 2016. "Evaluating the combined forecasts of the dynamic factor model and the artificial neural network model using linear and nonlinear combining methods," Empirical Economics, Springer, vol. 51(4), pages 1541-1556, December.
    67. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
    68. Garcí­a, Juan Angel & Werner, Sebastian E. V., 2016. "Bond risk premia, macroeconomic factors and financial crisis in the euro area," Working Paper Series 1938, European Central Bank.
    69. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series 2016-024, Board of Governors of the Federal Reserve System (U.S.).
    70. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    71. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
    72. Han, Xu, 2015. "Tests for overidentifying restrictions in Factor-Augmented VAR models," Journal of Econometrics, Elsevier, vol. 184(2), pages 394-419.
    73. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2023. "Latent Factor Analysis in Short Panels," Papers 2306.14004, arXiv.org, revised May 2024.
    74. Panagiotidis, Theodore & Printzis, Panagiotis, 2021. "Investment and uncertainty: Are large firms different from small ones?," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 302-317.
    75. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2024. "Econometrics of machine learning methods in economic forecasting," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 10, pages 246-273, Edward Elgar Publishing.
    76. 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.
    77. Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    78. Hafner, Christian M. & Linton, Oliver B. & Tang, Haihan, 2020. "Estimation of a multiplicative correlation structure in the large dimensional case," Journal of Econometrics, Elsevier, vol. 217(2), pages 431-470.
    79. Giancarlo Corsetti & Joao B. Duarte & Samuel Mann, 2018. "One Money, Many Markets," Discussion Papers 1805, Centre for Macroeconomics (CFM).
    80. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
    81. Mario Forni & Luca Gambetti, 2010. "Fiscal Foresight and the Effects of Government Spending," Center for Economic Research (RECent) 049, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    82. Pellényi, Gábor, 2012. "A monetáris politika hatása a magyar gazdaságra. Elemzés strukturális, dinamikus faktormodellel [The sectoral effects of monetary policy in Hungary: a structural factor]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 263-284.
    83. Silvia Miranda-Agrippino & Hélène Rey, 2015. "US Monetary Policy and the Global Financial Cycle," NBER Working Papers 21722, National Bureau of Economic Research, Inc.
    84. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.
    85. Harun Mirza & Lidia Storjohann, 2014. "Making Weak Instrument Sets Stronger: Factor‐Based Estimation of Inflation Dynamics and a Monetary Policy Rule," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 643-664, June.
    86. Francesca Di Iorio & Stefano Fachin, 2017. "Evaluating Restricted Common Factor models for non-stationary data," DSS Empirical Economics and Econometrics Working Papers Series 2017/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    87. Patrick Gagliardini & Elisa Ossola & Olivier Scaillet, 2016. "A diagnostic criterion for approximate factor structure," Papers 1612.04990, arXiv.org, revised Aug 2017.
    88. Jiang, Pan & Perez, M. Fabricio, 2021. "Follow the leader: Index tracking with factor models," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 337-350.
    89. Xavier Gabaix & Ralph S. J. Koijen, 2024. "Granular Instrumental Variables," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2274-2303.
    90. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    91. Aboura, Sofiane & Chevallier, Julien, 2015. "A cross-volatility index for hedging the country risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 25-41.
    92. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    93. Kabundi, Alain & De Simone, Francisco Nadal, 2020. "Monetary policy and systemic risk-taking in the euro area banking sector," Economic Modelling, Elsevier, vol. 91(C), pages 736-758.
    94. Ryan Greenaway‐McGrevy & Nelson C. Mark & Donggyu Sul & Jyh‐Lin Wu, 2018. "Identifying Exchange Rate Common Factors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(4), pages 2193-2218, November.
    95. Damien Passemier & Zhaoyuan Li & Jianfeng Yao, 2017. "On estimation of the noise variance in high dimensional probabilistic principal component analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 51-67, January.
    96. Chen Jau-er, 2015. "Factor instrumental variable quantile regression," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 71-92, February.
    97. Ayden Higgins, 2021. "Fixed $T$ Estimation of Linear Panel Data Models with Interactive Fixed Effects," Papers 2110.05579, arXiv.org.
    98. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    99. Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
    100. Kihwan Kim & Hyun Hak Kim & Norman R. Swanson, 2023. "Mixing mixed frequency and diffusion indices in good times and in bad: an assessment based on historical data around the great recession of 2008," Empirical Economics, Springer, vol. 64(3), pages 1421-1469, March.
    101. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    102. In Choi, 2012. "Model Selection for Factor Analysis: Some New Criteria and Performance Comparisons," Working Papers 1209, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    103. Andres Sagner, 2020. "High Dimensional Quantile Factor Analysis," Working Papers Central Bank of Chile 886, Central Bank of Chile.
    104. Wang, Shaoping & Cui, Guowei & Li, Kunpeng, 2015. "Factor-augmented regression models with structural change," Economics Letters, Elsevier, vol. 130(C), pages 124-127.
    105. Marc Hallin & Marco Lippi, 2013. "Factor Models in High-Dimensional Time Series: A Time-Domain Approach," Working Papers ECARES ECARES 2013-15, ULB -- Universite Libre de Bruxelles.
    106. Mirza, Harun & Storjohann, Lidia, 2011. "Making a Weak Instrument Set Stronger: Factor-Based Estimation of the Taylor Rule," Bonn Econ Discussion Papers 13/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
    107. Philipp Gersing & Christoph Rust & Manfred Deistler, 2023. "Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Jan 2024.
    108. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    109. Forzani, Liliana & Gieco, Antonella & Tolmasky, Carlos, 2017. "Likelihood ratio test for partial sphericity in high and ultra-high dimensions," Journal of Multivariate Analysis, Elsevier, vol. 159(C), pages 18-38.
    110. Chen, Liang, 2012. "Identifying observed factors in approximate factor models: estimation and hypothesis testing," MPRA Paper 37514, University Library of Munich, Germany.
    111. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    112. Christian M. Hafner & Oliver Linton & Haihan Tang, 2016. "Estimation of a Multiplicative Covariance Structure," CeMMAP working papers 23/16, Institute for Fiscal Studies.
    113. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    114. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    115. Deo, Rohit S., 2016. "On the Tracy–Widom approximation of studentized extreme eigenvalues of Wishart matrices," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 265-272.
    116. Bystrov, Victor & di Salvatore, Antonietta, 2013. "Martingale approximation of eigenvalues for common factor representation," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 233-237.
    117. Giorgio Calzolari & Roxana Halbleib & Christian Mucher, 2023. "Sequential Estimation of Multivariate Factor Stochastic Volatility Models," Papers 2302.07052, arXiv.org.
    118. Rey, Hélène & Miranda-Agrippino, Silvia, 2015. "World Asset Markets and the Global Financial Cycle," CEPR Discussion Papers 10936, C.E.P.R. Discussion Papers.
    119. Victor Stango & Joanne Yoong & Jonathan Zinman, 2017. "The Quest for Parsimony in Behavioral Economics: New Methods and Evidence on Three Fronts," NBER Working Papers 23057, National Bureau of Economic Research, Inc.
    120. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2018. "One money, many markets: a factor model approach to monetary policy in the Euro Area with high-frequency identification," LSE Research Online Documents on Economics 87182, London School of Economics and Political Science, LSE Library.
    121. Hautsch, Nikolaus & Kyj, Lada M. & Oomen, Roel C.A., 2009. "A blocking and regularization approach to high dimensional realized covariance estimation," SFB 649 Discussion Papers 2009-049, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    122. Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2019. "Spiked Eigenvalues of High-Dimensional Separable Sample Covariance Matrices," Monash Econometrics and Business Statistics Working Papers 31/19, Monash University, Department of Econometrics and Business Statistics.
    123. Christian M. Hafner & Oliver Linton & Haihan Tang, 2016. "Estimation of a multiplicative covariance structure in the large dimensional case," CeMMAP working papers 52/16, Institute for Fiscal Studies.
    124. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    125. Yu, Long & He, Yong & Zhang, Xinsheng, 2019. "Robust factor number specification for large-dimensional elliptical factor model," Journal of Multivariate Analysis, Elsevier, vol. 174(C).
    126. 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.
    127. Zhou, Ruichao & Wu, Jianhong, 2023. "Determining the number of change-points in high-dimensional factor models by cross-validation with matrix completion," Economics Letters, Elsevier, vol. 232(C).
    128. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    129. Forni, Mario & Cavicchioli, Maddalena & Lippi, Marco & Zaffaroni, Paolo, 2016. "Eigenvalue Ratio Estimators for the Number of Common Factors," CEPR Discussion Papers 11440, C.E.P.R. Discussion Papers.
    130. Angelopoulos, Jason & Sahoo, Satya & Visvikis, Ilias D., 2020. "Commodity and transportation economic market interactions revisited: New evidence from a dynamic factor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    131. Laumer, Sebastian, 2020. "Government spending and heterogeneous consumption dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    132. HAFNER, Christian & LINTON, Oliver B. & TANG, Haihan, 2016. "Estimation of a Multiplicative Covariance Structure in the Large Dimensional Case," LIDAM Discussion Papers CORE 2016044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    133. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    134. Ricco, Giovanni & Ellahie, Atif, 2012. "Government Spending Reloaded: Fundamentalness and Heterogeneity in Fiscal SVARs," MPRA Paper 42105, University Library of Munich, Germany.
    135. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
    136. Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2011. "One-Sided Representations of Generalized Dynamic Factor Models," Working Papers ECARES ECARES 2011-019, ULB -- Universite Libre de Bruxelles.
    137. Otter, Pieter W. & Jacobs, Jan P.A.M. & Reijer, Ard H.J. de, 2014. "A criterion for the number of factors in a data-rich environment," Research Report 14008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    138. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    139. Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    140. Aboura, Sofiane & Chevallier, Julien, 2015. "Geographical diversification with a World Volatility Index," Journal of Multinational Financial Management, Elsevier, vol. 30(C), pages 62-82.
    141. Jacobs, Jan P.A.M. & Otter, Pieter W. & den Reijer, Ard H.J., 2012. "Information, data dimension and factor structure," Journal of Multivariate Analysis, Elsevier, vol. 106(C), pages 80-91.
    142. Corsetti, Giancarlo & Duarte, Joao B. & Mann, Samuel, 2020. "One Money, Many Markets: Monetary Transmission and Housing Financing in the Euro Area," CEPR Discussion Papers 14968, C.E.P.R. Discussion Papers.
    143. Marco Avarucci & Paolo Zaffaroni, 2019. "Robust Nearly-Efficient Estimation of Large Panels with Factor Structures," Papers 1902.11181, arXiv.org.
    144. He, Yong & Zhang, Mingjuan & Zhang, Xinsheng & Zhou, Wang, 2020. "High-dimensional two-sample mean vectors test and support recovery with factor adjustment," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    145. Monnet, Eric & Puy, Damien, 2021. "One Ring to Rule Them All? New Evidence on World Cycles," CEPR Discussion Papers 15958, C.E.P.R. Discussion Papers.
    146. Qu, Ritong & Timmermann, Allan & Zhu, Yinchu, 2023. "Comparing forecasting performance in cross-sections," Journal of Econometrics, Elsevier, vol. 237(2).
    147. Xia, Qiang & Liang, Rubing & Wu, Jianhong, 2017. "Transformed contribution ratio test for the number of factors in static approximate factor models," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 235-241.
    148. Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper, 2017. "An Early Warning System for currency crises in Argentina and Brazil 1990-2009," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 14(2), pages 47-68, Julio-Dic.
    149. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    150. Luke Mosley & Tak-Shing Chan & Alex Gibberd, 2023. "sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings," Papers 2303.14125, arXiv.org.
    151. Feng, Long & Lan, Wei & Liu, Binghui & Ma, Yanyuan, 2022. "High-dimensional test for alpha in linear factor pricing models with sparse alternatives," Journal of Econometrics, Elsevier, vol. 229(1), pages 152-175.
    152. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    153. Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
    154. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
    155. Yi Zheng, 2024. "How does the national new area impact the local economy? -- An empirical analysis from Zhoushan," Papers 2407.17523, arXiv.org.
    156. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2017. "Risk evaluations with robust approximate factor models," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 244-264.
    157. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
    158. Johannes Forkman & Julie Josse & Hans-Peter Piepho, 2019. "Hypothesis Tests for Principal Component Analysis When Variables are Standardized," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 289-308, June.
    159. Ding, Xiucai & Yang, Fan, 2022. "Edge statistics of large dimensional deformed rectangular matrices," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    160. Passemier, Damien & McKay, Matthew R. & Chen, Yang, 2015. "Hypergeometric functions of matrix arguments and linear statistics of multi-spiked Hermitian matrix models," Journal of Multivariate Analysis, Elsevier, vol. 139(C), pages 124-146.
    161. Li, Kunpeng & Lu, Lina, 2014. "Efficient estimation of heterogeneous coefficients in panel data models with common shock," MPRA Paper 59312, University Library of Munich, Germany.
    162. Wang, Qinwen & Silverstein, Jack W. & Yao, Jian-feng, 2014. "A note on the CLT of the LSS for sample covariance matrix from a spiked population model," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 194-207.
    163. Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016. "Dynamic Factor Models, Cointegration, and Error Correction Mechanisms," Finance and Economics Discussion Series 2016-018, Board of Governors of the Federal Reserve System (U.S.).
    164. Passemier, Damien & Yao, Jianfeng, 2014. "Estimation of the number of spikes, possibly equal, in the high-dimensional case," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 173-183.
    165. Majid M. Al-Sadoon, 2014. "A general theory of rank testing," Economics Working Papers 1411, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2015.
    166. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    167. Xi Luo, 2011. "Recovering Model Structures from Large Low Rank and Sparse Covariance Matrix Estimation," Papers 1111.1133, arXiv.org, revised Mar 2013.
    168. Li, Xiao & Qiao, Yuanbo & Shi, Lei, 2019. "Has China's war on pollution slowed the growth of its manufacturing and by how much? Evidence from the Clean Air Action," China Economic Review, Elsevier, vol. 53(C), pages 271-289.
    169. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.
    170. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    171. Alexei Onatski & Marcelo Moreira J. & Marc Hallin, 2012. "Signal Detection in High Dmension: The Multispiked Case," Working Papers ECARES ECARES 2012-036, ULB -- Universite Libre de Bruxelles.
    172. Bada, Oualid & Kneip, Alois, 2014. "Parameter cascading for panel models with unknown number of unobserved factors: An application to the credit spread puzzle," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 95-115.
    173. Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper, 2011. "Why didn't the Global Financial Crisis hit Latin America?," CIRANO Working Papers 2011s-63, CIRANO.
    174. Schanne, Norbert, 2015. "A Global Vector Autoregression (GVAR) model for regional labour markets and its forecasting performance with leading indicators in Germany," IAB-Discussion Paper 201513, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    175. Alessandro Barbarino & Efstathia Bura, 2017. "A Unified Framework for Dimension Reduction in Forecasting," Finance and Economics Discussion Series 2017-004, Board of Governors of the Federal Reserve System (U.S.).
    176. Matthieu Stigler & David Lobell, 2024. "Optimal index insurance and basis risk decomposition: an application to Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(1), pages 306-329, January.
    177. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.
    178. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.
    179. Armando Marozzi, 2021. "The ECB and the Cost of Independence. Unearthing a New Doom-Loop in the European Monetary Union," BAFFI CAREFIN Working Papers 21152, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    180. Yuyang Xu & Zhonghua Liu & Jianfeng Yao, 2023. "An eigenvalue ratio approach to inferring population structure from whole genome sequencing data," Biometrics, The International Biometric Society, vol. 79(2), pages 891-902, June.

  11. Kargin, V. & Onatski, A., 2008. "Curve forecasting by functional autoregression," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2508-2526, November.
    See citations under working paper version above.
  12. Onatski, Alexei, 2006. "Winding number criterion for existence and uniqueness of equilibrium in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 323-345, February.

    Cited by:

    1. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    2. Frank Hespeler, 2007. "Solution Algorithm to a Class of Monetary Rational Equilibrium Macromodels with Optimal Monetary Policy Design," EcoMod2007 23900036, EcoMod.
    3. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    4. Peter A. Zadrozny, 2022. "Linear Identification of Linear Rational-Expectations Models by Exogenous Variables Reconciles Lucas and Sims," CESifo Working Paper Series 10078, CESifo.
    5. Majid Al-Sadoon & Piotr Zwiernik, 2019. "The identification problem for linear rational expectations models," Economics Working Papers 1669, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Frank Hespeler, 2012. "On Boundary Conditions Within the Solution of Macroeconomic Dynamic Models with Rational Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 40(3), pages 265-291, October.
    7. Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
    8. Tan, Fei & Walker, Todd B., 2015. "Solving generalized multivariate linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 95-111.
    9. Meyer-Gohde, Alexander, 2024. "Solving and analyzing DSGE models in the frequency domain," IMFS Working Paper Series 207, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    10. Al-Sadoon, Majid M., 2018. "The Linear Systems Approach To Linear Rational Expectations Models," Econometric Theory, Cambridge University Press, vol. 34(3), pages 628-658, June.
    11. Marco M. Sorge, 2020. "Arbitrary initial conditions and the dimension of indeterminacy in linear rational expectations models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 363-372, June.
    12. Mostafavi, Moeen & Fatehi, Ali-Reza & Shakouri G., Hamed & Von zur Muehlen, Peter, 2011. "A predictive multi-agent approach to model systems with linear rational expectations," MPRA Paper 35351, University Library of Munich, Germany, revised 11 Dec 2011.
    13. Bernd Funovits, 2020. "Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation," Papers 2002.04346, arXiv.org, revised Feb 2021.
    14. Majid M. Al-Sadoon, 2020. "Regularized Solutions to Linear Rational Expectations Models," Papers 2009.05875, arXiv.org, revised Oct 2020.
    15. Ariane Szafarz, 2010. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," DULBEA Working Papers 10-01.RS., ULB -- Universite Libre de Bruxelles.
    16. Adrien Auclert & Bence Bardóczy & Matthew Rognlie & Ludwig Straub, 2019. "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models," NBER Working Papers 26123, National Bureau of Economic Research, Inc.
    17. William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008. "Design Limits and Dynamic Policy Analysis," NBER Working Papers 14357, National Bureau of Economic Research, Inc.
    18. Meyer-Gohde, Alexander & Tzaawa-Krenzler, Mary, 2023. "Sticky information and the Taylor principle," IMFS Working Paper Series 189, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    19. Majid M. Al-Sadoon, 2020. "The Spectral Approach to Linear Rational Expectations Models," Papers 2007.13804, arXiv.org, revised Aug 2024.

  13. Alexei Onatski & Noah Williams, 2004. "Empirical and policy performance of a forward-looking monetary model," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.

    Cited by:

    1. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    2. Juillard, Michel & Le Bihan, Herve & Millard, Stephen, 2013. "Non-uniform wage-staggering: European evidence and monetary policy implications," Bank of England working papers 477, Bank of England.
    3. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005. "Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through," Working Paper Series 179, Sveriges Riksbank (Central Bank of Sweden).
    4. John H. Cochrane, 2011. "Determinacy and Identification with Taylor Rules," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 565-615.
    5. Iiboshi, Hirokuni & Nishiyama, Shin-Ichi & Watanabe, Toshiaki, 2006. "An Estimated Dynamic Stochastic General Equilibrium Model of the Japanese Economy: A Bayesian Analysis," MPRA Paper 85702, University Library of Munich, Germany.
    6. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper 2004/10, Norges Bank.
    7. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    8. Pelin Ilbas, 2007. "Optimal Monetary Policy Rules for the Euro Area in a DSGE Framework," Money Macro and Finance (MMF) Research Group Conference 2006 59, Money Macro and Finance Research Group.
    9. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-Country Heterogeneity," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 23-72, June.
    10. Patrick Minford & Zhirong Ou & Michael Wickens, 2015. "Revisiting the Great Moderation: Policy or Luck?," Open Economies Review, Springer, vol. 26(2), pages 197-223, April.
    11. Martin Melecky & Diego Rodríguez Palenzuela & Ulf Söderström, 2008. "Inflation Target Transparency and the Macroeconomy," Working Papers Central Bank of Chile 490, Central Bank of Chile.
    12. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    13. Givens, Gregory, 2015. "On the Gains from Monetary Policy Commitment under Deep Habits," MPRA Paper 67996, University Library of Munich, Germany.
    14. Wieland, Volker & Taylor, John B., 2010. "Surprising comparative properties of monetary models: Results from a new model database," Working Paper Series 1261, European Central Bank.
    15. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2012. "Forecast Combination Based on Multiple Encompassing Tests in a Macroeconomic DSGE-VAR System," Economics Series 292, Institute for Advanced Studies.
    16. Kai Christoffel & Keith Kuester & Tobias Linzert, 2009. "The role of labor markets for Euro area monetary policy," Working Papers 09-1, Federal Reserve Bank of Philadelphia.
    17. Minford, Patrick & Ou, Zhirong, 2009. "Taylor Rule or Optimal Timeless Policy? Reconsidering the Fed's behaviour since 1982," Cardiff Economics Working Papers E2009/19, Cardiff University, Cardiff Business School, Economics Section, revised May 2010.
    18. Levin, Andrew T. & Moessner, Richhild, 2005. "Inflation persistence and monetary policy design: an overview," Working Paper Series 539, European Central Bank.
    19. Lars E. O. Svensson, 2005. "Targeting versus instrument rules for monetary policy: what is wrong with McCallum and Nelson?," Review, Federal Reserve Bank of St. Louis, vol. 87(Sep), pages 613-626.
    20. Fabio Milani, 2005. "Expectations, Learning and Macroeconomic Persistence," Macroeconomics 0510022, University Library of Munich, Germany.
    21. IIBOSHI Hirokuni, 2012. "Measuring the Effects of Monetary Policy: A DSGE-DFM Approach," ESRI Discussion paper series 292, Economic and Social Research Institute (ESRI).
    22. G. Peersman & R. Straub, 2005. "Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/288, Ghent University, Faculty of Economics and Business Administration.
    23. Daniel O. Beltran & David Draper, 2018. "Estimating dynamic macroeconomic models: how informative are the data?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(2), pages 501-520, February.
    24. Marcin Kolasa, 2008. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," NBP Working Papers 49, Narodowy Bank Polski.
    25. Marco Del Negro & Frank Schorfheide & Frank Smets & Raf Wouters, 2004. "On the fit and forecasting performance of New Keynesian models," FRB Atlanta Working Paper 2004-37, Federal Reserve Bank of Atlanta.
    26. Levin, Andrew T. & Coenen, Günter, 2004. "Identifying the influences of nominal and real rigidities in aggregate price-setting behavior," Working Paper Series 418, European Central Bank.
    27. Gregory E. Givens, 2012. "Estimating Central Bank Preferences under Commitment and Discretion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1033-1061, September.
    28. John C. Williams, 2004. "Robust estimation and monetary policy with unobserved structural change," Working Paper Series 2004-11, Federal Reserve Bank of San Francisco.
    29. Ben Ali, Samir, 2010. "A New Keynesian Phillips curve for Tunisia : Estimation and analysis of sensitivity," MPRA Paper 29624, University Library of Munich, Germany.
    30. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
    31. McAdam, Peter & Levine, Paul & Pearlman, Joseph G., 2007. "Quantifying and sustaining welfare gains from monetary commitment," Working Paper Series 709, European Central Bank.
    32. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
    33. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2019. "Kinks and Gains from Credit Cycles," CEPR Discussion Papers 13795, C.E.P.R. Discussion Papers.
    34. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.
    35. Walsh, Carl E., 2005. "Parameter misspecification and robust monetary policy rules," Working Paper Series 477, European Central Bank.
    36. Magda Kandil, 2010. "Demand shocks and the cyclical behavior of the real wage: Some international evidence," Journal of Applied Economics, Universidad del CEMA, vol. 13, pages 135-158, May.
    37. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," FRB Atlanta Working Paper 2004-38, Federal Reserve Bank of Atlanta.
    38. Carla Soares, 2008. "Impact on Welfare of Country Heterogeneity in a Currency Union," Working Papers w200814, Banco de Portugal, Economics and Research Department.
    39. Den Haan, Wouter & Drechsel, Thomas, 2018. "Agnostic Structural Disturbances (ASDs): Detecting and Reducing Misspecification in Empirical Macroeconomic Models," CEPR Discussion Papers 13145, C.E.P.R. Discussion Papers.
    40. Daichi Shirai, 2014. "A note on hump-shaped output in the RBC model," CIGS Working Paper Series 14-009E, The Canon Institute for Global Studies.
    41. Pytlarczyk, Ernest, 2005. "An estimated DSGE model for the German economy within the euro area," Discussion Paper Series 1: Economic Studies 2005,33, Deutsche Bundesbank.
    42. Tillmann, Peter, 2005. "The New Keynesian Phillips Curve in Europe: does it fit or does it fail?," Discussion Paper Series 1: Economic Studies 2005,04, Deutsche Bundesbank.
    43. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    44. F. Owen Irvine & Scott Schuh, 2007. "The roles of comovement and inventory investment in the reduction of output volatility," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    45. Lars E.O. Svensson, 2004. "Targeting Rules vs. Instrument Rules for Monetary Policy: What is Wrong with McCallum and Nelson?," NBER Working Papers 10747, National Bureau of Economic Research, Inc.
    46. Roland Straub & Günter Coenen, 2005. "Non-Ricardian Households and Fiscal Policy in an Estimated DSGE Model of the Euro Area," Computing in Economics and Finance 2005 102, Society for Computational Economics.
    47. Kawther Alimi & Mohamed Chakroun, 2022. "Wage Rigidity Impacts on Unemployment and Inflation Persistence in Tunisia: Evidence from an Estimated DSGE Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 474-500, March.
    48. Mr. Roland Straub & Gert Peersman, 2006. "Putting the New Keynesian Model to a Test," IMF Working Papers 2006/135, International Monetary Fund.
    49. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.

  14. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1087-1122, September.
    See citations under working paper version above.
  15. Kremer, Michael & Onatski, Alexei & Stock, James, 2001. "Searching for prosperity," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 55(1), pages 275-303, December.
    See citations under working paper version above.
  16. Alexei Onatski & James H. Stock, 1999. "Robust monetary policy under model uncertainty in a small model of the U.S. economy," Proceedings, Federal Reserve Bank of San Francisco.
    See citations under working paper version above.

Chapters

  1. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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