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Serena Ng

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. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Ng and Wright: Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling
      by Gray in Pseudo-true News on 2013-10-01 09:34:06
  2. Author Profile
    1. A Global Economics Rank of #257 in REPEC's "Recent Publications" Category
      by Matthew Kahn in Environmental and Urban Economics on 2013-10-22 05:29:00
    2. Ranking the Graduate Ph.D Econ Class of 1993
      by Matthew Kahn in Environmental and Urban Economics on 2014-10-04 06:32:00
    3. Peer Group as of April 2015
      by Matthew Kahn in Environmental and Urban Economics on 2015-05-03 19:55:00
    4. The 1993 Econ Ph.D. Cohort
      by Matthew Kahn in Environmental and Urban Economics on 2015-12-04 09:31:00
    5. Peers at Work as of April 2016
      by Matthew Kahn in Environmental and Urban Economics on 2016-05-05 19:49:00
    6. The PHD Economics Cohort from 1993
      by Matthew Kahn in Environmental and Urban Economics on 2017-12-05 05:11:00
    7. Room for Improvement
      by Matthew Kahn in Environmental and Urban Economics on 2018-11-08 22:59:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Big Data

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ng, Serena, 1995. "Review of Coint 2.0," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 205-210, April-Jun.

    Mentioned in:

    1. Review of coint 2.0 (Journal of Applied Econometrics 1995) in ReplicationWiki ()
  2. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.

    Mentioned in:

    1. Testing for homogeneity in demand systems when the regressors are nonstationary (Journal of Applied Econometrics 1995) in ReplicationWiki ()
  3. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2015. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," NBER Working Papers 21803, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response? (AEJ:MA forthcoming) in ReplicationWiki ()

Working papers

  1. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.

    Cited by:

    1. Duan, Junting & Pelger, Markus & Xiong, Ruoxuan, 2024. "Target PCA: Transfer learning large dimensional panel data," Journal of Econometrics, Elsevier, vol. 244(2).
    2. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    3. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    4. Junting Duan & Markus Pelger & Ruoxuan Xiong, 2023. "Target PCA: Transfer Learning Large Dimensional Panel Data," Papers 2308.15627, arXiv.org.

  2. Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.

    Cited by:

    1. Duan, Junting & Pelger, Markus & Xiong, Ruoxuan, 2024. "Target PCA: Transfer learning large dimensional panel data," Journal of Econometrics, Elsevier, vol. 244(2).
    2. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    3. Juan, Aranzazu de & Poncela, Pilar & Ruiz Ortega, Esther, 2023. "Economic activity and C02 emissions in Spain," DES - Working Papers. Statistics and Econometrics. WS 37975, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2024. "Asymmetric Sovereign Risk: Implications for Climate Change Preparation," IREA Working Papers 202401, University of Barcelona, Research Institute of Applied Economics, revised Jan 2024.
    5. Aránzazu Juan & Pilar Poncela & Esther Ruiz, 2025. "Economic activity and $$\hbox {CO}_2$$ CO 2 emissions in Spain," Empirical Economics, Springer, vol. 68(3), pages 1379-1408, March.
    6. Matteo Barigozzi & Luca Trapin, 2025. "Estimation of large approximate dynamic matrix factor models based on the EM algorithm and Kalman filtering," Papers 2502.04112, arXiv.org, revised May 2025.
    7. 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).
    8. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
    9. Giraldo, Carlos & Giraldo, Iader & Gomez-Gonzalez, Jose E. & Uribe, Jorge M., 2024. "High Frequency Monitoring of Credit Creation: A New Tool for Central Banks in Emerging Market Economies," Documentos de trabajo 21077, FLAR.
    10. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    11. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," LSE Research Online Documents on Economics 127231, London School of Economics and Political Science, LSE Library.

  3. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.

    Cited by:

    1. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    2. Marton Lotz & Daniel Ruf & Johannes Strobel, 2023. "Uncertainty premia in REIT returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 372-407, March.
    3. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    4. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    5. Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
    6. Orkideh Gharehgozli & Sunhyung Lee, 2022. "Money Supply and Inflation after COVID-19," Economies, MDPI, vol. 10(5), pages 1-14, April.
    7. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    8. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    9. Camilo Granados & Daniel Parra-Amado, 2023. "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia 1249, Banco de la Republica de Colombia.
    10. Tuzcuoglu, Kerem, 2024. "Nonlinear transmission of international financial stress," Economic Modelling, Elsevier, vol. 139(C).
    11. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    12. Kerem Tuzcuoglu, 2023. "Risk Amplification Macro Model (RAMM)," Technical Reports 123, Bank of Canada.
    13. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    14. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    15. Maximo Camacho & Salvador Ramallo & Manuel Ruiz, 2024. "A New Approach to Forecasting the Probability of Recessions after the COVID‐19 Pandemic," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 833-855, August.
    16. 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.
    17. John O’Trakoun, 2022. "Business forecasting during the pandemic," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(3), pages 95-110, July.
    18. Jens Klose & Peter Tillmann, 2022. "The Real and Financial Impact of COVID-19 Around the World," MAGKS Papers on Economics 202201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    19. Francesco Paolo Conteduca & Alessandro Borin, 2022. "A New Dataset for Local and National COVID-19-Related Restrictions in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 435-470, July.
    20. Nicholas Apergis & Emmanuel Apergis, 2025. "Uncertainty and inflation: The role of COVID-19 stabilisation policies-Evidence from OECD countries," International Economics and Economic Policy, Springer, vol. 22(1), pages 1-9, February.
    21. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    22. José R. Maria & Paulo Júlio, 2023. "Trends and cycles during the COVID-19 pandemic period," Working Papers w202311, Banco de Portugal, Economics and Research Department.
    23. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    24. Laumer, Sebastian & Schaffer, Matthew, 2025. "Monetary policy transmission under supply chain pressure," European Economic Review, Elsevier, vol. 172(C).
    25. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
    26. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    27. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    28. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    29. Durand, Luigi & Fornero, Jorge Alberto, 2024. "Estimating the output gap in times of COVID-19," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(4).
    30. Jacques Sapir, 2021. "The Economic Shock of the Health Crisis in 2020: Comparing the Scale of Governments Support," Studies on Russian Economic Development, Springer, vol. 32(6), pages 579-592, November.
    31. Luigi Infante & Francesca Lilla & Francesco Vercelli, 2023. "The effects of the pandemic on households' financial savings: a Bayesian structural VAR analysis," Temi di discussione (Economic working papers) 1421, Bank of Italy, Economic Research and International Relations Area.
    32. Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    33. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    34. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    35. Viana, Jr., Dante Baiardo C. & Lourenço, Isabel & Black, Ervin L. & Martins, Orleans Silva, 2023. "Macroeconomic instability, institutions, and earnings management: An analysis in developed and emerging market countries," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
    36. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    37. Haug, Alfred A. & Sznajderska, Anna, 2024. "Government spending multipliers: Is there a difference between government consumption and investment purchases?," Journal of Macroeconomics, Elsevier, vol. 79(C).
    38. Alessandro Morico & Ovidijus Stauskas, 2025. "Robust Tests for Factor-Augmented Regressions with an Application to the novel EA-MD Dataset," Papers 2504.08455, arXiv.org.
    39. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    40. Diego Fresoli, 2024. "Spanish GDP short-term point and density forecasting using a mixed-frequency dynamic factor model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 15(2), pages 145-177, June.
    41. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    42. Fabrizio Iacone & Luca Rossini & Andrea Viselli, 2024. "Comparing predictive ability in presence of instability over a very short time," Papers 2405.11954, arXiv.org.
    43. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
    44. Luigi Infante & Francesca Lilla & Michela E. Pasetto, 2025. "Energy price shocks and their effects on the main macroeconomic variables: a Bayesian SVAR analysis," Questioni di Economia e Finanza (Occasional Papers) 926, Bank of Italy, Economic Research and International Relations Area.

  4. Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," Papers 2102.10443, arXiv.org.

    Cited by:

    1. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    2. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.

  5. Richard Davis & Serena Ng, 2021. "Time Series Estimation of the Dynamic Effects of Disaster-Type Shock," Papers 2107.06663, arXiv.org, revised Mar 2022.

    Cited by:

    1. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
    2. Brandts, Jordi & El Baroudi, Sabrine & Huber, Stefanie J. & Rott, Christina, 2021. "Gender differences in private and public goal setting," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 222-247.
    3. Lee, Adam & Mesters, Geert, 2024. "Locally robust inference for non-Gaussian linear simultaneous equations models," Journal of Econometrics, Elsevier, vol. 240(1).
    4. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    5. Jarociński, Marek, 2024. "Estimating the Fed’s unconventional policy shocks," Journal of Monetary Economics, Elsevier, vol. 144(C).
    6. Geert Mesters & Piotr Zwiernik, 2022. "Non-independent components analysis," Economics Working Papers 1845, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    9. Naeem, Muhammad Abubakr & Senthilkumar, Arunachalam & Arfaoui, Nadia & Mohnot, Rajesh, 2024. "Mapping fear in financial markets: Insights from dynamic networks and centrality measures," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).

  6. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.

    Cited by:

    1. Lihua Lei & Brad Ross, 2023. "Estimating Counterfactual Matrix Means with Short Panel Data," Papers 2312.07520, arXiv.org, revised May 2024.
    2. 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, revised May 2025.
    3. Duan, Junting & Pelger, Markus & Xiong, Ruoxuan, 2024. "Target PCA: Transfer learning large dimensional panel data," Journal of Econometrics, Elsevier, vol. 244(2).
    4. Tae-Hwy Lee & Daanish Padha, 2025. "Forecasting Using Supervised Factors and Idiosyncratic Elements," Working Papers 202502, University of California at Riverside, Department of Economics.
    5. Bin Peng & Liangjun Su & Yayi Yan, 2024. "A Robust Residual-Based Test for Structural Changes in Factor Models," Monash Econometrics and Business Statistics Working Papers 10/24, Monash University, Department of Econometrics and Business Statistics.
    6. 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.
    7. 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.
    8. Bailey, N. & Ditzen, J. & Holly, S., 2025. "My neighbour's neighbour is not my neighbour: Instrumentation and causality in spatial models," Cambridge Working Papers in Economics 2501, Faculty of Economics, University of Cambridge.
    9. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
    10. 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.
    11. Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Models without Estimating the Rank," Papers 2311.16440, arXiv.org, revised Oct 2024.
    12. Songnian Chen & Junlong Feng, 2025. "Robust Quantile Factor Analysis," Papers 2501.15761, arXiv.org.
    13. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.
    14. Alex Shkolnik & Alec Kercheval & Hubeyb Gurdogan & Lisa R. Goldberg & Haim Bar, 2025. "Portfolio selection revisited," Annals of Operations Research, Springer, vol. 346(1), pages 137-155, March.
    15. Jad Beyhum, 2024. "Counterfactuals in factor models," Papers 2401.03293, arXiv.org.
    16. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    17. 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.
    18. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).
    19. Minshuo Chen & Renyuan Xu & Yumin Xu & Ruixun Zhang, 2025. "Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure," Papers 2504.06566, arXiv.org, revised May 2025.
    20. Diego Fresoli & Pilar Poncela & Esther Ruiz, 2024. "Dealing with idiosyncratic cross-correlation when constructing confidence regions for PC factors," Papers 2407.06883, arXiv.org.
    21. Van Deun, Katrijn & Lê, Trà T. & Malinowski, Jakub & Mols, Floortje & Schoormans, Dounya, 2025. "Regularized multigroup exploratory approximate factor analysis for easy analysis of complex data," OSF Preprints 9twbk_v1, Center for Open Science.

  7. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.

    Cited by:

    1. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    2. Matteo Barigozzi, 2022. "On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis," Papers 2211.01921, arXiv.org, revised Jul 2023.
    3. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised May 2024.
    4. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    5. Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
    6. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.

  8. Evan M. Munro & Serena Ng, 2020. "Latent Dirichlet Analysis of Categorical Survey Expectations," NBER Working Papers 27182, National Bureau of Economic Research, Inc.

    Cited by:

    1. André Lucas & Julia Schaumburg & Bernd Schwaab, 2020. "Dynamic clustering of multivariate panel data," Tinbergen Institute Discussion Papers 20-009/III, Tinbergen Institute.
    2. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.

  9. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.

    Cited by:

    1. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    2. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).

  10. Michael W. McCracken & Serena Ng, 2020. "FRED-QD: A Quarterly Database for Macroeconomic Research," Working Papers 2020-005, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Leu, Shawn C.-Y. & Robertson, Mari L., 2021. "Mortgage credit volumes and monetary policy after the Great Recession," Economic Modelling, Elsevier, vol. 94(C), pages 483-500.
    2. Dimitris Korobilis & Maximilian Schröder, 2023. "Probabilistic Quantile Factor Analysis," Working Papers No 05/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Yongxia Zhang & Qi Wang & Maozai Tian, 2022. "Smoothed Quantile Regression with Factor-Augmented Regularized Variable Selection for High Correlated Data," Mathematics, MDPI, vol. 10(16), pages 1-30, August.
    4. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    5. Philippe Goulet Coulombe, 2021. "Slow-Growing Trees," Papers 2103.01926, arXiv.org, revised Jul 2021.
      • Philippe Goulet Coulombe, 2021. "Slow-Growing Trees," Working Papers 21-02, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    6. Gomez-Gonzalez, Jose E. & Hirs-Garzón, Jorge & Uribe, Jorge M., 2022. "Interdependent capital structure choices and the macroeconomy," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    7. Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
    8. David Kohns & Tibor Szendrei, 2021. "Decoupling Shrinkage and Selection for the Bayesian Quantile Regression," Papers 2107.08498, arXiv.org.
    9. Philippe Goulet Coulombe & Maximilian Goebel & Karin Klieber, 2024. "Dual Interpretation of Machine Learning Forecasts," Papers 2412.13076, arXiv.org.
    10. Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    11. Liao, Jun & Zou, Guohua & Gao, Yan & Zhang, Xinyu, 2021. "Model averaging prediction for time series models with a diverging number of parameters," Journal of Econometrics, Elsevier, vol. 223(1), pages 190-221.
    12. Eugster, Patrick & Uhl, Matthias W., 2024. "Forecasting inflation using sentiment," Economics Letters, Elsevier, vol. 236(C).
    13. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    14. Martinoli, Mario & Moneta, Alessio & Pallante, Gianluca, 2024. "Calibration and validation of macroeconomic simulation models by statistical causal search," Journal of Economic Behavior & Organization, Elsevier, vol. 228(C).
    15. Florian Huber & Gary Koop, 2024. "Fast and order‐invariant inference in Bayesian VARs with nonparametric shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1301-1320, November.
    16. Paul Carrillo-Maldonado & Javier Díaz-Cassou & Miguel Flores, 2023. "What are the main variables that influence the dynamics of Ecuador’s sovereign risk?," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2158009-215, December.
    17. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
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    20. Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
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    22. Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021. "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1338-1354.
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    27. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    28. Ba Chu & Shafiullah Qureshi, 2021. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers 21-12, Carleton University, Department of Economics.
    29. Carrillo-Maldonado, Paul & Díaz-Cassou, Javier, 2023. "An anatomy of external shocks in the Andean region," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    30. Graziano Moramarco, 2021. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," Papers 2111.00822, arXiv.org, revised Jan 2024.
    31. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
    32. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2024. "Averaging impulse responses using prediction pools," Journal of Monetary Economics, Elsevier, vol. 146(C).
    33. 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.
    34. 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.
    35. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2022. "Aggregate Skewness and the Business Cycle," CEPR Discussion Papers 17162, C.E.P.R. Discussion Papers.
    36. Jozef Barunik & Lubos Hanus, 2022. "Learning Probability Distributions in Macroeconomics and Finance," Papers 2204.06848, arXiv.org.
    37. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    38. 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.
    39. Florian Huber & Gary Koop, 2023. "Subspace shrinkage in conjugate Bayesian vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 556-576, June.
    40. Brianti, Marco & Cormun, Vito, 2024. "Expectation-driven boom-bust cycles," Journal of Monetary Economics, Elsevier, vol. 146(C).
    41. Ying Lun Cheung, 2024. "Identification of Time-Varying Factor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(1), pages 76-94, January.
    42. Fève, Patrick & Assenza, Tiziana & Collard, Fabrice & Huber, Stefanie, 2024. "From Buzz to Bust: How Fake News Shapes the Business Cycle," TSE Working Papers 24-1516, Toulouse School of Economics (TSE).
    43. Direye, Eli & Khemraj, Tarron, 2021. "Central bank securities and FX market intervention in a developing economy," MPRA Paper 111533, University Library of Munich, Germany, revised 09 Aug 2021.
    44. Philippe Goulet Coulombe, 2020. "To Bag is to Prune," Papers 2008.07063, arXiv.org, revised Sep 2024.
      • Philippe Goulet Coulombe, 2021. "To Bag is to Prune," Working Papers 21-03, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Jun 2021.
    45. Luis Gruber & Gregor Kastner, 2022. "Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!," Papers 2206.04902, arXiv.org, revised Feb 2025.
    46. Baruník, Jozef & Hanus, Luboš, 2024. "Fan charts in era of big data and learning," Finance Research Letters, Elsevier, vol. 61(C).
    47. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
    48. Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.
    49. Chang, Yoosoon & Kwak, Boreum & Qiu, Shi, 2021. "U.S. monetary and fiscal policy regime changes and their interactions," IWH Discussion Papers 12/2021, Halle Institute for Economic Research (IWH).
    50. Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
    51. Camacho, Maximo & Lopez-Buenache, German, 2023. "Factor models for large and incomplete data sets with unknown group structure," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1205-1220.
    52. Lin, Jiahe & Michailidis, George, 2024. "A multi-task encoder-dual-decoder framework for mixed frequency data prediction," International Journal of Forecasting, Elsevier, vol. 40(3), pages 942-957.
    53. Zhenzhong Wang & Zhengyuan Zhu & Cindy Yu, 2020. "Variable Selection in Macroeconomic Forecasting with Many Predictors," Papers 2007.10160, arXiv.org.
    54. Jørgensen, Peter L. & Ravn, Søren H., 2022. "The inflation response to government spending shocks: A fiscal price puzzle?," European Economic Review, Elsevier, vol. 141(C).
    55. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    56. Ryan Cumings-Menon & Minchul Shin, 2020. "Probability Forecast Combination via Entropy Regularized Wasserstein Distance," Working Papers 20-31/R, Federal Reserve Bank of Philadelphia.
    57. Morley, James & Rodríguez-Palenzuela, Diego & Sun, Yiqiao & Wong, Benjamin, 2023. "Estimating the euro area output gap using multivariate information and addressing the COVID-19 pandemic," European Economic Review, Elsevier, vol. 153(C).
    58. Szydlo, Jan, 2023. "Forecasting Credit Dynamics : VAR, VECM or modern Factor-Augmented VAR approach?," Warwick-Monash Economics Student Papers 63, Warwick Monash Economics Student Papers.
    59. Martin Iseringhausen & Konstantinos Theodoridis, 2025. "A survey-based measure of asymmetric macroeconomic risk in the euro area," Working Papers 68, European Stability Mechanism, revised 11 Feb 2025.
    60. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
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    62. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    63. Creal, Drew & Kim, Jaeho, 2024. "Bayesian estimation of cluster covariance matrices of unknown form," Journal of Econometrics, Elsevier, vol. 241(1).
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    66. Alessandro Morico & Ovidijus Stauskas, 2025. "Robust Tests for Factor-Augmented Regressions with an Application to the novel EA-MD Dataset," Papers 2504.08455, arXiv.org.
    67. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2020. "Point and Density Forecasting of Macroeconomic and Financial Uncertainties of the United States," Working Papers 202058, University of Pretoria, Department of Economics.
    68. Mai Dao & Lam Nguyen, 2025. "Variable selection in macroeconomic stress test: a Bayesian quantile regression approach," Empirical Economics, Springer, vol. 68(3), pages 1113-1169, March.
    69. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    70. Iania, Leonardo & Algieri, Bernardina & Leccadito, Arturo, 2022. "Forecasting total energy’s CO2 emissions," LIDAM Discussion Papers LFIN 2022003, Université catholique de Louvain, Louvain Finance (LFIN).
    71. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Nov 2024.
    72. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
    73. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
    74. Aromi, J. Daniel & Clements, Adam, 2021. "Facial expressions and the business cycle," Economic Modelling, Elsevier, vol. 102(C).

  11. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2020. "COVID-19 and The Macroeconomic Effects of Costly Disasters," NBER Working Papers 26987, National Bureau of Economic Research, Inc.

    Cited by:

    1. Lorenzo Pozzi & Barbara Sadaba, 2023. "Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data," Staff Working Papers 23-4, Bank of Canada.
    2. Francesco Bianchi & Giada Bianchi & Dongho Song, 2020. "The Long-Term Impact of the COVID-19 Unemployment Shock on Life Expectancy and Mortality Rates," NBER Working Papers 28304, National Bureau of Economic Research, Inc.
    3. Serhan Cevik, 2024. "Good Will Hunting: Do Disasters Make Us More Charitable?," Annals of Economics and Finance, Society for AEF, vol. 25(1), pages 275-287, May.
    4. Benjamin Fomba Kamga & Rodrigue Nda'Chi Deffo, 2022. "Analysis of the resilience strategies of Cameroonian companies in the face of Covid‐19 and their effects on activity," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(4), pages 880-897, May.
    5. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," CESifo Working Paper Series 8588, CESifo.
    6. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral Employment Dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Brodeur, Abel & Gray, David & Islam, Anik & Bhuiyan, Suraiya Jabeen, 2020. "A Literature Review of the Economics of COVID-19," GLO Discussion Paper Series 601, Global Labor Organization (GLO).
    8. Juan Andres Espinosa-Torres & Jaime Ramirez-Cuellar, 2023. "The Effects of the Pandemic on Market Power and Profitability," Papers 2303.08765, arXiv.org.
    9. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    10. Filippo Ferroni & Jonas D. M. Fisher & Leonardo Melosi, 2022. "Usual Shocks in our Usual Models," Working Paper Series WP 2022-39, Federal Reserve Bank of Chicago.
    11. Takeshi Shinohara & Tatsushi Okuda & Jouchi Nakajima, 2020. "Characteristics of Uncertainty Indices in the Macroeconomy," Bank of Japan Working Paper Series 20-E-6, Bank of Japan.
    12. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.
    13. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    14. William Ridley & Sherzod B. Akhundjanov & Stephen Devadoss, 2023. "The COVID‐19 pandemic and trade in agricultural products," The World Economy, Wiley Blackwell, vol. 46(8), pages 2432-2455, August.
    15. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    16. Mikkel Plagborg-Møller & Christian K. Wolf, 2020. "Local Projections and VARs Estimate the Same Impulse Responses," Working Papers 2020-16, Princeton University. Economics Department..
    17. Kong, Edward & Prinz, Daniel, 2020. "Disentangling policy effects using proxy data: Which shutdown policies affected unemployment during the COVID-19 pandemic?," Journal of Public Economics, Elsevier, vol. 189(C).
    18. Magdalena Olczyk & Marta Ewa Kuc-Czarnecka, 2021. "Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data," Energies, MDPI, vol. 14(14), pages 1-17, July.
    19. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate," Department of Economics Working Papers 2020-06, McMaster University.
    20. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    21. Sabrina T. Howell & Josh Lerner & Ramana Nanda & Richard R. Townsend, 2020. "How Resilient is Venture-Backed Innovation? Evidence from Four Decades of U.S. Patenting," NBER Working Papers 27150, National Bureau of Economic Research, Inc.
    22. Ilan Noy & Nguyen Doan & Benno Ferrarini & Donghyun Park, 2020. "Measuring the Economic Risk of Covid-19," CESifo Working Paper Series 8373, CESifo.
    23. Apergis, Nicholas & Danuletiu, Dan & Xu, Bing, 2022. "CDS spreads and COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    24. Martin Forster & Emanuela Randon, 2020. "Epidemic policy under uncertainty and information," Discussion Papers 20/05, Department of Economics, University of York.
    25. Jorge Gallego & Mounu Prem & Juan F. Vargas, 2020. "Corruption in the times of Pandemia," Documentos de Trabajo 18164, The Latin American and Caribbean Economic Association (LACEA).
    26. Jens Klose & Peter Tillmann, 2022. "The Real and Financial Impact of COVID-19 Around the World," MAGKS Papers on Economics 202201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    27. Galiani, Sebastian, 2022. "Pandemic economics," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 269-275.
    28. Dreger, Christian & Gros, Daniel, 2021. "Lockdowns and the US Unemployment Crisis," IZA Policy Papers 170, Institute of Labor Economics (IZA).
    29. Charles Goodhart & Donato Masciandaro & Stefano Ugolini, 2022. "Pandemic Recession and Helicopter Money: Venice, 1629--1631," Papers 2201.07181, arXiv.org.
    30. Doojav, Gan-Ochir, 2021. "Socio-economic recovery from the Covid-19 pandemic: Macroeconomic impacts and policy issues in Mongolia," MPRA Paper 111197, University Library of Munich, Germany.
    31. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
    32. Xingtian Chen & Wei Gong & Xiaoxu Wu & Wenwu Zhao, 2021. "Estimating Economic Losses Caused by COVID-19 under Multiple Control Measure Scenarios with a Coupled Infectious Disease—Economic Model: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    33. M. O. Oleche & D. K. Manda & R. G. Mutegi & S. Kipruto & M. K. Muriithi & P. Samoei & A. W. Ndirangu & G. Mwabu, 2023. "The gendered impacts of COVID-19 and business closure due to lockdown on wage employment in Kenya," Journal of Economic Policy and Management Issues, JEPMI, vol. 2(2), pages 31-48.
    34. Meinen, Philipp & Serafini, Roberta & Papagalli, Ottavia, 2021. "Regional economic impact of Covid-19: the role of sectoral structure and trade linkages," Working Paper Series 2528, European Central Bank.
    35. Gan-Ochir Doojav, 2023. "Macroeconomic Effects of Covid-19 in a Commodity-Exporting Economy: Evidence from Mongolia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(5), pages 1323-1348, April.
    36. Yang, Bixuan & Asche, Frank & Li, Tao, 2021. "Food Price Inflation and Demand Shocks: Evidence from Chinese Cities during the Covid-19 Epidemic," 2021 Annual Meeting, August 1-3, Austin, Texas 314067, Agricultural and Applied Economics Association.
    37. Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
    38. Norden, Lars & Mesquita, Daniel & Wang, Weichao, 2021. "COVID-19, policy interventions and credit: The Brazilian experience," Journal of Financial Intermediation, Elsevier, vol. 48(C).
    39. Razmi, Seyedeh Fatemeh & Razmi, Seyed Mohammad Javad, 2023. "The role of stock markets in the US, Europe, and China on oil prices before and after the COVID-19 announcement," Resources Policy, Elsevier, vol. 81(C).
    40. Bloise, Francesco & Tancioni, Massimiliano, 2021. "Predicting the spread of COVID-19 in Italy using machine learning: Do socio-economic factors matter?," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 310-329.
    41. David Baqaee & Emmanuel Farhi & Michael J. Mina & James H. Stock, 2020. "Reopening Scenarios," NBER Working Papers 27244, National Bureau of Economic Research, Inc.
    42. Dieppe,Alistair Matthew & Kilic Celik,Sinem & Okou,Cedric Iltis Finafa, 2020. "Implications of Major Adverse Events on Productivity," Policy Research Working Paper Series 9411, The World Bank.
    43. Álvaro H. Chaves Castro, 2021. "Análisis sobre la evolución del COVID-19 en Colombia: ¿se alcanzará el pico de contagio?," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 8(1), pages 123-160, January.
    44. Sabrina Howell & Josh Lerner & Ramana Nanda & Richard Townsend, 2020. "Financial Distancing: How Venture Capital Follows the Economy Down and Curtails Innovation," Harvard Business School Working Papers 20-115, Harvard Business School.
    45. Christina Wieser & Girum Abebe & Adamsu Asfaw, 2021. "How Have Firms Fared in Times of COVID-19 in Addis Ababa?," World Bank Publications - Reports 36664, The World Bank Group.
    46. Tsai, I-Chun, 2022. "Changes in social behavior and impacts of the COVID-19 pandemic on regional housing markets: Independence and risk," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    47. Kizys, Renatas & Tzouvanas, Panagiotis & Donadelli, Michael, 2021. "From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions," International Review of Financial Analysis, Elsevier, vol. 74(C).
    48. Masayuki MORIKAWA, 2021. "Uncertainty of Firms' Economic Outlook During the COVID-19 Crisis," Discussion papers 21042, Research Institute of Economy, Trade and Industry (RIETI).
    49. Thiago Christiano Silva & Carlos Eduardo de Almeida & Solange Maria Guerra & Benjamin Miranda Tabak, 2024. "COVID-19 and Credit Reallocation: evidence from bank branch lending in Brazil," Working Papers Series 601, Central Bank of Brazil, Research Department.
    50. Alin Marius Andries & Steven Ongena & Nicu Sprincean, 2020. "The COVID-19 Pandemic and Sovereign Bond Risk," Swiss Finance Institute Research Paper Series 20-42, Swiss Finance Institute.
    51. Nguyen Phuc Canh & Su Dinh Thanh, 2022. "The Dynamics of Export Diversification, Economic Complexity and Economic Growth Cycles: Global Evidence," Foreign Trade Review, , vol. 57(3), pages 234-260, August.
    52. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).
    53. Giovanni Abramo & Ciriaco Andrea D’Angelo & Ida Mele, 2022. "Impact of Covid-19 on research output by gender across countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6811-6826, December.
    54. Tomás Gómez Rodríguez & Humberto Ríos Bolívar & Adriana Zambrano Reyes, 2021. "Volatilidad y COVID-19: evidencia empírica internacional," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-20, Julio - S.
    55. Tsai, I-Chun & Chiang, Ying-Hui & Lin, Shih-Yuan, 2022. "Effect of COVID-19 lockdowns on city-center and suburban housing markets: Evidence from Hangzhou, China," Journal of Asian Economics, Elsevier, vol. 83(C).
    56. Horvath, Akos & Kay, Benjamin & Wix, Carlo, 2023. "The COVID-19 shock and consumer credit: Evidence from credit card data," Journal of Banking & Finance, Elsevier, vol. 152(C).
    57. Christopher Cotton & Bahman Kashi & Huw Lloyd-Ellis & Frederic Tremblay, 2020. "Quantifying the Economic Impacts of COVID-19 Policy Responses on Canada's Provinces in (Almost) Real Time," Working Paper 1441, Economics Department, Queen's University.
    58. AITOUTOUHEN, latifa, 2021. "Study of the Socio-Economic Impact of the COVID-19 Crisis in Morocco," MPRA Paper 111114, University Library of Munich, Germany, revised 15 Dec 2021.
    59. Fabian Stephany & Leonie Neuhäuser & Niklas Stoehr & Philipp Darius & Ole Teutloff & Fabian Braesemann, 2022. "The CoRisk-Index: a data-mining approach to identify industry-specific risk perceptions related to Covid-19," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    60. Constanza Fosco & Felipe Zurita, 2021. "Assessing the short-run effects of lockdown policies on economic activity, with an application to the Santiago Metropolitan Region, Chile," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    61. Verónica Acurio Vásconez & Olivier Damette & David W. Shanafelt, 2021. "Macroepidemics and unconventional monetary policy: Coupling macroeconomics and epidemiology in a financial DSGE-SIR framework," Working Papers of BETA 2021-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    62. Thiago Christiano Silva & Carlos Eduardo de Almeida, 2024. "COVID-19 and Supply Chain Disruptions: a novel perspective using a network of payments in Brazil," Working Papers Series 595, Central Bank of Brazil, Research Department.
    63. Afees A. Salisu & Idris A. Adediran & Rangan Gupta, 2021. "A Note on the COVID-19 Shock and Real GDP in Emerging Economies: A Counterfactual Analysis from the Threshold-Augmented Global Vector Autoregressive Model," Working Papers 202149, University of Pretoria, Department of Economics.
    64. Xiao-Li Gong & Jin-Yan Lu & Xiong Xiong & Wei Zhang, 2022. "Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.

  12. Sokbae Lee & Serena Ng, 2020. "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Papers 2007.07781, arXiv.org, revised Jun 2022.

    Cited by:

    1. Gupta, Joyeeta & Bavinck, Maarten & Ros-Tonen, Mirjam & Asubonteng, Kwabena & Bosch, Hilmer & van Ewijk, Edith & Hordijk, Michaela & Van Leynseele, Yves & Lopes Cardozo, Mieke & Miedema, Esther & Pouw, 2021. "COVID-19, poverty and inclusive development," World Development, Elsevier, vol. 145(C).
    2. Harold D Chiang & Yuya Sasaki, 2023. "On Using The Two-Way Cluster-Robust Standard Errors," Papers 2301.13775, arXiv.org.
    3. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.
    4. Hensher, David A., 2021. "The case for negotiated contracts under the transition to a green bus fleet," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 255-269.
    5. Günther, Jutta (Ed.) & Wedemeier, Jan (Ed.), 2020. "Struktureller Umbruch durch COVID-19: Implikationen für die Innovationspolitik im Land Bremen," HWWI Policy Papers 128, Hamburg Institute of International Economics (HWWI).

  13. Evan Munro & Serena Ng, 2019. "Latent Dirichlet Analysis of Categorical Survey Responses," Papers 1910.04883, arXiv.org, revised Jul 2020.

    Cited by:

    1. Ariel Neufeld & Matthew Ng Cheng En & Ying Zhang, 2024. "Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems," Papers 2403.09532, arXiv.org, revised Mar 2025.
    2. André Lucas & Julia Schaumburg & Bernd Schwaab, 2020. "Dynamic clustering of multivariate panel data," Tinbergen Institute Discussion Papers 20-009/III, Tinbergen Institute.
    3. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated from Unstructured Data," CESifo Working Paper Series 11119, CESifo.
    4. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated by AI or Machine Learning," Papers 2402.15585, arXiv.org, revised Apr 2025.
    5. Igor Custodio João, 2024. "Testing for Clustering Under Switching," Tinbergen Institute Discussion Papers 24-052/III, Tinbergen Institute.
    6. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
    7. Bernd Prostmaier & Jan V'avra & Bettina Grun & Paul Hofmarcher, 2025. "Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models," Papers 2503.02741, arXiv.org.

  14. Kashif Yousuf & Serena Ng, 2019. "Boosting High Dimensional Predictive Regressions with Time Varying Parameters," Papers 1910.03109, arXiv.org.

    Cited by:

    1. Chudik, Alexander & Pesaran, M. Hashem & Sharifvaghefi, Mahrad, 2024. "Variable selection in high dimensional linear regressions with parameter instability," Journal of Econometrics, Elsevier, vol. 246(1).
    2. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    3. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    4. Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
    5. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    6. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    7. Yu, Deshui & Chen, Li, 2024. "Local predictability of stock returns and cash flows," Journal of Empirical Finance, Elsevier, vol. 77(C).
    8. Hauzenberger, Niko & Pfarrhofer, Michael & Rossini, Luca, 2025. "Sparse time-varying parameter VECMs with an application to modeling electricity prices," International Journal of Forecasting, Elsevier, vol. 41(1), pages 361-376.
    9. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    10. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    11. Deshui Yu & Yayi Yan, 2023. "Joint dynamics of stock returns and cash flows: A time‐varying present‐value framework," Financial Management, Financial Management Association International, vol. 52(3), pages 513-541, September.
    12. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
    13. Alisa Ableeva & Guzel Salimova & Ramzilia Bakirova & Tatiana Lubova & Aigul Galimova, 2024. "Analysis and forecasting tax income to the regional budget," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30929-30950, December.
    14. Li, Haiqi & Zhou, Jin & Hong, Yongmiao, 2024. "Estimating and testing for smooth structural changes in moment condition models," Journal of Econometrics, Elsevier, vol. 246(1).
    15. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
    16. Mu Yue & Jingxin Xi, 2025. "Sparse Boosting for Additive Spatial Autoregressive Model with High Dimensionality," Mathematics, MDPI, vol. 13(5), pages 1-16, February.
    17. Friedrich, Marina & Lin, Yicong, 2024. "Sieve bootstrap inference for linear time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 239(1).
    18. Yu, Deshui & Chen, Li & Li, Luyang, 2023. "Time-varying predictability of the long horizon equity premium based on semiparametric regressions," Economics Letters, Elsevier, vol. 224(C).
    19. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2025. "State-Varying Model Averaging Prediction," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202507, University of Kansas, Department of Economics.

  15. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Working Papers 25899, National Bureau of Economic Research, Inc.

    Cited by:

    1. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    2. Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya, 2022. "Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data," Forecasting, MDPI, vol. 5(1), pages 1-25, December.
    3. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    4. Timiryanova, Venera & Krasnoselskaya, Dina, 2022. "Влияние пандемии Сovid-19 на пространственную динамику продовольственных цен [Covid-19 impact on spatial food prices dynamics]," MPRA Paper 114638, University Library of Munich, Germany.
    5. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.

  16. Jushan Bai & Serena Ng, 2019. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Papers 1910.06677, arXiv.org, revised Aug 2021.

    Cited by:

    1. Brantly Callaway & Sonia Karami, 2020. "Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods," Papers 2006.15780, arXiv.org, revised Feb 2022.
    2. Magnac, Thierry, 2023. "Capital humain et recherche d'emploi: un mariage heureux - Human Capital and Search Models: A Happy Match," TSE Working Papers 23-1489, Toulouse School of Economics (TSE).
    3. Duan, Junting & Pelger, Markus & Xiong, Ruoxuan, 2024. "Target PCA: Transfer learning large dimensional panel data," Journal of Econometrics, Elsevier, vol. 244(2).
    4. Luya Wang & Zheng Li & Qi Li, 2023. "A Tale of Two Policies: Examining Treatment Effects on Housing Prices in Shenzhen, China," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 277-288, November.
    5. Thierry Magnac, 2024. "Human capital and search models: a happy match [Capital humain et recherche d'emploi: un mariage heureux]," Post-Print hal-04555926, HAL.
    6. Ercument Cahan & Jushan Bai & Serena Ng, 2021. "Factor-Based Imputation of Missing Values and Covariances in Panel Data of Large Dimensions," Papers 2103.03045, arXiv.org, revised Feb 2022.
    7. Jean-Baptiste Hasse & Capucine Nobletz, 2024. "Critical Raw Materials Index - CRMI," AMSE Working Papers 2428, Aix-Marseille School of Economics, France.
    8. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    9. 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.
    10. Choi, Jungjun & Kwon, Hyukjun & Liao, Yuan, 2024. "Inference for low-rank completion without sample splitting with application to treatment effect estimation," Journal of Econometrics, Elsevier, vol. 240(1).
    11. Bai, Jushan & Wang, Peng, 2024. "Causal inference using factor models," MPRA Paper 120585, University Library of Munich, Germany.
    12. 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.
    13. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.
    14. Yinchu Zhu, 2019. "How well can we learn large factor models without assuming strong factors?," Papers 1910.10382, arXiv.org, revised Nov 2019.
    15. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    16. Jungjun Choi & Hyukjun Kwon & Yuan Liao, 2023. "Inference for Low-rank Completion without Sample Splitting with Application to Treatment Effect Estimation," Papers 2307.16370, arXiv.org.
    17. Yang Zhou & Shigeto Kitano, 2024. "Effects of Capital Flow Management Measures on Wealth Inequality: New Evidence from Counterfactual Estimators," Discussion Paper Series DP2024-30, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2024.
    18. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    19. Alberto Abadie & Anish Agarwal & Raaz Dwivedi & Abhin Shah, 2024. "Doubly Robust Inference in Causal Latent Factor Models," Papers 2402.11652, arXiv.org, revised Oct 2024.
    20. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
    21. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
    22. 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).
    23. Alberto Abadie & Anish Agarwal & Devavrat Shah, 2025. "A Causal Inference Framework for Data Rich Environments," Papers 2504.01702, arXiv.org.
    24. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2025. "Estimating the impact of social distance policy in mitigating COVID-19 spread with factor-based imputation approach," Empirical Economics, Springer, vol. 68(2), pages 585-601, February.
    25. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    26. Cheng Hsiao & Qiankun Zhou, 2024. "Panel treatment effects measurement: Factor or linear projection modelling?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1332-1358, November.
    27. Albert Chiu & Xingchen Lan & Ziyi Liu & Yiqing Xu, 2023. "Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study," Papers 2309.15983, arXiv.org, revised Mar 2025.
    28. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    29. Ben Deaner & Chen-Wei Hsiang & Andrei Zeleneev, 2025. "Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities," Papers 2503.20769, arXiv.org, revised Mar 2025.
    30. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
    31. Anish Agarwal & Keegan Harris & Justin Whitehouse & Zhiwei Steven Wu, 2023. "Adaptive Principal Component Regression with Applications to Panel Data," Papers 2307.01357, arXiv.org, revised Aug 2024.
    32. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    33. Kathleen T. Li, 2024. "Frontiers: A Simple Forward Difference-in-Differences Method," Marketing Science, INFORMS, vol. 43(2), pages 267-279, March.
    34. Guido Imbens & Nathan Kallus & Xiaojie Mao, 2021. "Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models," Papers 2108.03849, arXiv.org.
    35. Retsef Levi & Elisabeth Paulson & Georgia Perakis & Emily Zhang, 2024. "Heterogeneous Treatment Effects in Panel Data," Papers 2406.05633, arXiv.org.
    36. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    37. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    38. 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.
    39. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    40. Luya Wang & Jeffrey S. Racine & Qiaoyu Wang, 2025. "Bootstrap inference on a factor model based average treatment effects estimator," Econometric Reviews, Taylor & Francis Journals, vol. 44(1), pages 80-89, January.
    41. Cen, Zetai & Lam, Clifford, 2025. "Tensor time series imputation through tensor factor modelling," LSE Research Online Documents on Economics 127231, London School of Economics and Political Science, LSE Library.

  17. Sokbae Lee & Serena Ng, 2019. "An Econometric Perspective on Algorithmic Subsampling," Papers 1907.01954, arXiv.org, revised Apr 2020.

    Cited by:

    1. Martin O’Connell & Howard Smith & Øyvind Thomassen, 2023. "A two sample size estimator for large data sets," Economics Series Working Papers 1001, University of Oxford, Department of Economics.
    2. Martin Browning & Laurens Cherchye & Thomas Demuynck & Bram de Rock & Frederic Vermeulen, 2024. "Spouses with benefits: on match quality and consumption inside households," CEBI working paper series 24-14, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    3. Jun Yu & Mingyao Ai & Zhiqiang Ye, 2024. "A review on design inspired subsampling for big data," Statistical Papers, Springer, vol. 65(2), pages 467-510, April.
    4. Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
    5. Elin Colmsjoe, 2025. "A Flying Start intergenerational Transfers , Wealth Accumalation, and Entrepreneurship of Descendants," CEBI working paper series 24-02, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    6. Jun Yu & HaiYing Wang, 2022. "Subdata selection algorithm for linear model discrimination," Statistical Papers, Springer, vol. 63(6), pages 1883-1906, December.
    7. Sokbae Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2022. "Fast Inference for Quantile Regression with Tens of Millions of Observations," Papers 2209.14502, arXiv.org, revised Oct 2023.
    8. Sokbae Lee & Serena Ng, 2020. "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Papers 2007.07781, arXiv.org, revised Jun 2022.

  18. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.

    Cited by:

    1. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    2. Lucrezia Reichlin & Giovanni Ricco & Matthieu Tarbé, 2021. "Monetary-Fiscal Crosswinds in the European Monetary Union," SciencePo Working papers Main hal-03474950, HAL.
    3. Rüdiger Bachmann & Peter Zorn, 2013. "What Drives Aggregate Investment? Evidence from German Survey Data," NBER Working Papers 18990, National Bureau of Economic Research, Inc.
    4. Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020. "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series 8289, CESifo.
    5. Christiane Baumeister & James D. Hamilton, 2020. "Advances in Using Vector Autoregressions to Estimate Structural Magnitudes," NBER Working Papers 27014, National Bureau of Economic Research, Inc.
    6. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    7. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    8. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    9. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2018. "Monetary Policy, External Instruments and Heteroskedasticity," Discussion Papers of DIW Berlin 1749, DIW Berlin, German Institute for Economic Research.
    10. Baumeister, Christiane & Hamilton, James, 2020. "Advances in Structural Vector Autoregressions with Imperfect Identifying Information," CEPR Discussion Papers 14603, C.E.P.R. Discussion Papers.
    11. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.
    12. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.

  19. Yuriy Gorodnichenko & Serena Ng, 2017. "Level and Volatility Factors in Macroeconomic Data," NBER Working Papers 23672, National Bureau of Economic Research, Inc.

    Cited by:

    1. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    2. 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.
    3. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021. "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1338-1354.
    5. Marius M. Mihai, 2020. "Do credit booms predict US recessions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 887-910, September.
    6. Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.
    7. Cesa-Bianchi, Ambrogio & Pesaran, M Hashem & Rebucci, Alessandro, 2018. "Uncertainty and economic activity: a multi-country perspective," Bank of England working papers 730, Bank of England.
    8. Kevin Moran & Dalibor Stevanovic & Adam Abdel Kader Touré, 2020. "Macroeconomic Uncertainty and the COVID-19 Pandemic: Measure and Impacts on the Canadian Economy," CIRANO Working Papers 2020s-47, CIRANO.
    9. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    10. 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.
    11. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2022. "Aggregate Skewness and the Business Cycle," CEPR Discussion Papers 17162, C.E.P.R. Discussion Papers.
    12. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
    13. 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.).
    14. Dorofeenko Victor & Lee Gabriel & Salyer Kevin & Strobel Johannes, 2020. "Risk shocks with time-varying higher moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    15. 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.
    16. Schüler, Yves S., 2020. "The impact of uncertainty and certainty shocks," Discussion Papers 14/2020, Deutsche Bundesbank.
    17. Kole, Erik & van Dijk, Dick, 2023. "Moments, shocks and spillovers in Markov-switching VAR models," Journal of Econometrics, Elsevier, vol. 236(2).
    18. Metiu, Norbert & Prieto, Esteban, 2023. "The macroeconomic effects of inflation uncertainty," Discussion Papers 32/2023, Deutsche Bundesbank.
    19. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    20. Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.
    21. Dario Caldara & Chiara Scotti & Molin Zhong, 2021. "Macroeconomic and Financial Risks: A Tale of Mean and Volatility," International Finance Discussion Papers 1326, Board of Governors of the Federal Reserve System (U.S.).

  20. Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.

    Cited by:

    1. Martin Lettau & Markus Pelger, 2018. "Estimating Latent Asset-Pricing Factors," NBER Working Papers 24618, National Bureau of Economic Research, Inc.
    2. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    3. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053, Institute of Social and Economic Research, The University of Osaka.
    4. Jiangtao Duan & Wei Gao & Hao Qu & Hon Keung Tony, 2019. "Subspace Clustering for Panel Data with Interactive Effects," Papers 1909.09928, arXiv.org, revised Feb 2021.
    5. Jianqing Fan & Kunpeng Li & Yuan Liao, 2020. "Recent Developments on Factor Models and its Applications in Econometric Learning," Papers 2009.10103, arXiv.org.
    6. Alexandre Belloni & Mingli Chen & Oscar Hernan Madrid Padilla & Zixuan & Wang, 2019. "High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing," Papers 1912.02151, arXiv.org, revised Aug 2022.
    7. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    8. Wan, Runzhe & Li, Yingying & Lu, Wenbin & Song, Rui, 2024. "Mining the factor zoo: Estimation of latent factor models with sufficient proxies," Journal of Econometrics, Elsevier, vol. 239(2).
    9. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Feasible Generalized Least Squares for Panel Data with Cross-sectional and Serial Correlations," Papers 1910.09004, arXiv.org, revised Aug 2020.
    10. Victor Chernozhukov & Christian Hansen & Yuan Liao & Yinchu Zhu, 2019. "Inference for heterogeneous effects using low-rank estimations," CeMMAP working papers CWP31/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Gu, Shihao & Kelly, Bryan & Xiu, Dacheng, 2021. "Autoencoder asset pricing models," Journal of Econometrics, Elsevier, vol. 222(1), pages 429-450.
    12. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Nov 2024.

  21. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.

    Cited by:

    1. Miranda-Zanetti, Maximilano & Delbianco, Fernando & Tohmé, Fernando, 2019. "Tampering with inflation data: A Benford law-based analysis of national statistics in Argentina," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 761-770.
    2. Danielsson, Jon & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," LSE Research Online Documents on Economics 111601, London School of Economics and Political Science, LSE Library.
    3. 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.
    4. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    5. Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
    6. Plakandaras, Vasilios & Gogas, Periklis & Papadimitriou, Theophilos & Gupta, Rangan, 2019. "A re-evaluation of the term spread as a leading indicator," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 476-492.
    7. Sokbae (Simon) Lee & Serena Ng, 2020. "An econometric perspective on algorithmic subsampling," CeMMAP working papers CWP18/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Jun Yu & Mingyao Ai & Zhiqiang Ye, 2024. "A review on design inspired subsampling for big data," Statistical Papers, Springer, vol. 65(2), pages 467-510, April.
    9. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    10. Harold D. Chiang & Jiatong Li & Yuya Sasaki, 2021. "Algorithmic subsampling under multiway clustering," Papers 2103.00557, arXiv.org, revised Oct 2022.
    11. Bluhm, Benjamin & Cutura, Jannic, 2020. "Econometrics at scale: Spark up big data in economics," SAFE Working Paper Series 266, Leibniz Institute for Financial Research SAFE.
    12. Tao Zou & Xian Li & Xuan Liang & Hansheng Wang, 2021. "On the Subbagging Estimation for Massive Data," Papers 2103.00631, arXiv.org.
    13. Jun Yu & HaiYing Wang, 2022. "Subdata selection algorithm for linear model discrimination," Statistical Papers, Springer, vol. 63(6), pages 1883-1906, December.
    14. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.
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    5. Pongou, Roland & Sidie, Ghislain Junior & Tchuente, Guy & Tondji, Jean-Baptiste, 2022. "Profits, Pandemics, and Lockdown Effectiveness in Nursing Home Networks," National Institute of Economic and Social Research (NIESR) Discussion Papers 540, National Institute of Economic and Social Research.
    6. Jean-Jacques Forneron, 2019. "A Scrambled Method of Moments," Papers 1911.09128, arXiv.org.
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  24. Michael W. McCracken & Serena Ng, 2015. "FRED-MD: A Monthly Database for Macroeconomic Research," Working Papers 2015-12, Federal Reserve Bank of St. Louis.

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    1. Hauzenberger, Niko & Huber, Florian & Klieber, Karin & Marcellino, Massimiliano, 2025. "Bayesian neural networks for macroeconomic analysis," Journal of Econometrics, Elsevier, vol. 249(PC).
    2. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
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    4. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    5. Guilherme Schultz Lindenmeyer & Hudson Silva Torrent, 2024. "Boosting and Predictability of Macroeconomic Variables: Evidence from Brazil," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 377-409, July.
    6. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    7. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 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. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    9. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    10. Joaqui-Barandica, Orlando & Oviedo-Gómez, Andres & Manotas-Duque, Diego F., 2023. "Directional predictability between interest rates and the Stoxx 600 Banks index: A quantile approach," Finance Research Letters, Elsevier, vol. 58(PA).
    11. Cormun, Vito & Ristolainen, Kim, 2024. "Exchange rate narratives," Bank of Finland Research Discussion Papers 11/2024, Bank of Finland.
    12. Pablo Montero-Manso & Rob J Hyndman, 2020. "Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality," Monash Econometrics and Business Statistics Working Papers 45/20, Monash University, Department of Econometrics and Business Statistics.
    13. Lim, Kian Guan & Nomikos, Nikos K. & Yap, Nelson, 2019. "Understanding the fundamentals of freight markets volatility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 1-15.
    14. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    15. Fischer, Manfred M. & Huber, Florian & Pfarrhofer, Michael, 2018. "The transmission of uncertainty shocks on income inequality: State-level evidence from the United States," Working Papers in Regional Science 2018/06, WU Vienna University of Economics and Business.
    16. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.
    17. Fan, Jianqing & Ke, Yuan & Wang, Kaizheng, 2020. "Factor-adjusted regularized model selection," Journal of Econometrics, Elsevier, vol. 216(1), pages 71-85.
    18. Goodhead, Robert & Kolb, Benedikt, 2018. "Monetary policy communication shocks and the macroeconomy," Discussion Papers 46/2018, Deutsche Bundesbank.
    19. Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
    20. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers 2404.02671, arXiv.org, revised Nov 2024.
    21. Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Granger Causality Testing in High-Dimensional VARs: A Post-Double-Selection Procedure," Journal of Financial Econometrics, Oxford University Press, vol. 21(3), pages 915-958.
    22. Philippe Goulet Coulombe, 2021. "Slow-Growing Trees," Papers 2103.01926, arXiv.org, revised Jul 2021.
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    1. Meijer, Erik & Spierdijk, Laura & Wansbeek, Tom, 2017. "Consistent estimation of linear panel data models with measurement error," Journal of Econometrics, Elsevier, vol. 200(2), pages 169-180.
    2. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.

  26. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2013. "Measuring Uncertainty," NBER Working Papers 19456, National Bureau of Economic Research, Inc.

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    6. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Caldara, Dario & Iacoviello, Matteo & Molligo, Patrick & Prestipino, Andrea & Raffo, Andrea, 2020. "The economic effects of trade policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 109(C), pages 38-59.
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    26. Ricardo M. Reyes-Heroles & Gabriel Tenorio, 2017. "Interest Rate Volatility and Sudden Stops : An Empirical Investigation," International Finance Discussion Papers 1209, Board of Governors of the Federal Reserve System (U.S.).
    27. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
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    29. Chris Redl, 2019. "Uncertainty Matters: Evidence from Close Elections," NBER Chapters, in: NBER International Seminar on Macroeconomics 2019, National Bureau of Economic Research, Inc.
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    31. Caggiano, Giovanni & Castelnuovo, Efrem & Groshenny, Nicolas, 2014. "Uncertainty shocks and unemployment dynamics in U.S. recessions," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 78-92.
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    33. Santos, Tano & Veronesi, Pietro, 2022. "Leverage," Journal of Financial Economics, Elsevier, vol. 145(2), pages 362-386.
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    Cited by:

    1. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    2. Jean-Jacques Forneron, 2019. "Detecting Identification Failure in Moment Condition Models," Papers 1907.13093, arXiv.org, revised Oct 2023.
    3. Antonio Aguirre & Ignacio N. Lobato, 2024. "Evidence of non-fundamentalness in OECD capital stocks," Empirical Economics, Springer, vol. 67(2), pages 761-772, August.
    4. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    5. Jean‐Jacques Forneron, 2023. "A Sieve‐SMM Estimator for Dynamic Models," Econometrica, Econometric Society, vol. 91(3), pages 943-977, May.
    6. 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.
    7. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    8. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    9. Funovits, Bernd, 2024. "Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation," Journal of Econometrics, Elsevier, vol. 241(2).
    10. Alain Hecq & Daniel Velasquez-Gaviria, 2023. "Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models," Papers 2310.19543, arXiv.org.
    11. Josef Arlt, 2023. "The problem of annual inflation rate indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2772-2788, July.
    12. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.

  28. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.

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    1. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    2. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    3. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    4. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    5. Lyu, Yongjian & Yi, Heling & Yang, Mo & Zou, Yihan & Li, Ding & Qin, Zhilong, 2025. "Financial uncertainty shocks and systemic risk: Revealing the risk spillover from the oil market to the stock market," Applied Energy, Elsevier, vol. 382(C).
    6. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    7. 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.
    8. Belanger, Gilles, 2014. "Interest Rates Rigidities and the Fisher Equation," MPRA Paper 54705, University Library of Munich, Germany.
    9. Dlugoszek, Grzegorz, 2018. "Macroeconomic Effects of Financial Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181596, Verein für Socialpolitik / German Economic Association.
    10. Michael Redmond & Willem Van Zandweghe, 2016. "The Lasting Damage from the Financial Crisis to U.S. Productivity," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 39-64.
    11. Huang, Yu-Fan & Startz, Richard, 2020. "Improved recession dating using stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 507-514.
    12. Klinger, Sabine & Weber, Enzo, 2019. "GDP-Employment decoupling and the slow-down of productivity growth in Germany," IAB-Discussion Paper 201912, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    14. Augustus J. Panton, 2020. "Climate Hysteresis and Monetary Policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Mauro Napoletano & Andrea Roventini & Jean-Luc Gaffard, 2015. "Time-Varying Fiscal Multipliers in an Agent-Based Model with Credit Rationing," LEM Papers Series 2015/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Yu-Fan Huang & Sui Luo, 2018. "Potential output and inflation dynamics after the Great Recession," Empirical Economics, Springer, vol. 55(2), pages 495-517, September.
    17. Jean-Sébastien Pentecôte & Fabien Rondeau, 2015. "Trade spillovers on output growth during the 2008 financial crisis," Post-Print hal-02440549, HAL.
    18. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    19. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
    20. Petri Kuosmanen & Juuso Vataja, 2025. "Predictive Power of Key Financial Variables During the Unconventional Monetary Policy Era," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 856-866, April.
    21. Guender, Alfred V, 2018. "Credit prices vs. credit quantities as predictors of economic activity in Europe: Which tell a better story?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 380-399.
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    23. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    24. Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
    25. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.
    26. Ana gomez-Loscos & M. Dolores Gadea (Universidad de Zaragoza) & Gabriel Perez-Quiros (Bank of Spain), 2015. "Great Moderation and Great Recession. From plain sailing to stormy seas?," EcoMod2015 8267, EcoMod.
    27. Pawel Dlotko & Simon Rudkin & Wanling Qiu, 2019. "Topologically Mapping the Macroeconomy," Papers 1911.10476, arXiv.org.
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    66. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
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    Cited by:

    1. Paulo M.M. Rodrigues & Matei Demetrescu, 2019. "Testing for Episodic Predictability in Stock Returns," Working Papers w201906, Banco de Portugal, Economics and Research Department.
    2. Breitung, Jörg & Demetrescu, Matei, 2015. "Instrumental variable and variable addition based inference in predictive regressions," Journal of Econometrics, Elsevier, vol. 187(1), pages 358-375.
    3. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    4. John Chao & Peter C.B. Phillips, 2017. "Uniform Inference in Panel Autoregression," Cowles Foundation Discussion Papers 2071, Cowles Foundation for Research in Economics, Yale University.
    5. Sentana, Enrique, 2024. "Finite underidentification," Journal of Econometrics, Elsevier, vol. 240(1).
    6. Jean-Paul Chavas, 2025. "Stochastic instability: a dynamic quantile approach," Empirical Economics, Springer, vol. 68(2), pages 485-509, February.

  30. Sydney C. Ludvigson & Serena Ng, 2009. "A Factor Analysis of Bond Risk Premia," NBER Working Papers 15188, National Bureau of Economic Research, Inc.

    Cited by:

    1. Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017. "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, vol. 198(2), pages 231-252.
    2. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    3. Roberta Fiori & Simonetta Iannotti, 2010. "On the interaction between market and credit risk: a factor-augmented vector autoregressive (FAVAR) approach," Temi di discussione (Economic working papers) 779, Bank of Italy, Economic Research and International Relations Area.
    4. Lasse BORK & Hans DEWACHTER & Romain HOUSSA, 2009. "Identification of macroeconomic factors in large panels," Working Papers of Department of Economics, Leuven ces09.18, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    5. 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.
    6. Cui, Qiurong & Xu, Yuqing & Zhang, Zhengjun & Chan, Vincent, 2021. "Max-linear regression models with regularization," Journal of Econometrics, Elsevier, vol. 222(1), pages 579-600.
    7. Helitzer, Deborah & Hollis, Christine & Hernandez, Brisa Urquieta de & Sanders, Margaret & Roybal, Suzanne & Van Deusen, Ian, 2010. "Evaluation for community-based programs: The integration of logic models and factor analysis," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 223-233, August.
    8. Han, Xu, 2015. "Tests for overidentifying restrictions in Factor-Augmented VAR models," Journal of Econometrics, Elsevier, vol. 184(2), pages 394-419.
    9. Nowzohour, Laura & Stracca, Livio, 2017. "More than a feeling: confidence, uncertainty and macroeconomic fluctuations," Working Paper Series 2100, European Central Bank.
    10. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    11. Xyngis, Georgios, 2017. "Business-cycle variation in macroeconomic uncertainty and the cross-section of expected returns: Evidence for scale-dependent risks," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 43-65.
    12. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).
    13. Markus Pelger & Ruoxuan Xiong, 2018. "State-Varying Factor Models of Large Dimensions," Papers 1807.02248, arXiv.org, revised Oct 2020.
    14. Hacioglu, Sinem & Tuzcuoglu, Kerem, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
    15. Jian Yang & Yinggang Zhou & Zijun Wang, 2010. "Conditional Coskewness in Stock and Bond Markets: Time-Series Evidence," Management Science, INFORMS, vol. 56(11), pages 2031-2049, November.
    16. Mehmet Balcilar & Abebe Beyene & Rangan Gupta & Monaheng Seleteng, 2013. "‘Ripple’ Effects in South African House Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(5), pages 876-894, April.
    17. Buckmann, Marcus & Joseph, Andreas, 2022. "An interpretable machine learning workflow with an application to economic forecasting," Bank of England working papers 984, Bank of England.
    18. Chen, Pu, 2010. "A Grouped Factor Model," MPRA Paper 28083, University Library of Munich, Germany, revised 11 Jan 2011.

  31. Yuriy Gorodnichenko & Serena Ng, 2009. "Estimation of DSGE Models When the Data are Persistent," NBER Working Papers 15187, National Bureau of Economic Research, Inc.

    Cited by:

    1. Stiassny, Alfred & Uhl, Christina, 2014. "Does Elderly Employment have an Impact on Youth Employment? A General Equilibrium Approach," Department of Economics Working Paper Series 178, WU Vienna University of Economics and Business.
    2. Weder, Mark & Doko Tchatokay, Firmin & Groshenny, Nicolas & Haque, Qazi, 2016. "Monetary Policy and Indeterminacy after the 2001 Slump," VfS Annual Conference 2016 (Augsburg): Demographic Change 145557, Verein für Socialpolitik / German Economic Association.
    3. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    4. Aldy, Joseph E., 2014. "The Labor Market Impacts of the 2010 Deepwater Horizon Oil Spill and Offshore Oil Drilling Moratorium," Working Paper Series rwp14-037, Harvard University, John F. Kennedy School of Government.
    5. Chahrour, Ryan & Ulbricht, Robert, 2017. "Information-driven Business Cycles: A Primal Approach," TSE Working Papers 17-784, Toulouse School of Economics (TSE), revised Dec 2017.
    6. 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.
    7. Alfred Stiassny & Christina Uhl, 2014. "Does Elderly Employment have an Impact on Youth Employment? A General Equilibrium Approach," Department of Economics Working Papers wuwp178, Vienna University of Economics and Business, Department of Economics.
    8. Dieppe, Alistair & González Pandiella, Alberto & Willman, Alpo, 2012. "The ECB's New Multi-Country Model for the euro area: NMCM — Simulated with rational expectations," Economic Modelling, Elsevier, vol. 29(6), pages 2597-2614.
    9. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    10. Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2017. "Great recession, slow recovery and muted fiscal policies in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 140-161.
    11. Guido Ascari & Efrem Castelnuovo & Lorenza Rossi, 2010. "Calvo vs. Rotemberg in a Trend Inflation World: An Empirical Investigation," "Marco Fanno" Working Papers 0116, Dipartimento di Scienze Economiche "Marco Fanno".
    12. Jean Barthélemy & Magali Marx & Aurélien Poissonnier, 2009. "Trends and Cycles : an Historical Review of the Euro Area," Working papers 258, Banque de France.
    13. Morrisy, Stephen D., 2017. "Efficient estimation of macroeconomic equations with unobservable states," Economic Modelling, Elsevier, vol. 60(C), pages 408-423.
    14. Fabio Canova, 2015. "Bridging DSGE models and the raw data," Working Papers 635, Barcelona School of Economics.
    15. Ferroni, Filippo, 2009. "Trend agnostic one step estimation of DSGE models," MPRA Paper 14550, University Library of Munich, Germany.
    16. Renato Faccini & Leonardo Melosi, 2022. "Pigouvian Cycles," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 281-318, April.
    17. 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.
    18. Vasco J. Gabriel & Paul Levine & Bo Yang, 2023. "Partial dollarization and financial frictions in emerging economies," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 609-651, May.
    19. Richard Harrison & George Kapetanios & Alasdair Scott & Jana Eklund, 2008. "Breaks in DSGE models," 2008 Meeting Papers 657, Society for Economic Dynamics.
    20. Cristiano Cantore & Paul Levine & Giovanni Melina, 2014. "Deep versus superficial habit: It’s all in the persistence," School of Economics Discussion Papers 0714, School of Economics, University of Surrey.
    21. Fabio Canova & Filippo Ferroni, 2011. "Multiple filtering devices for the estimation of cyclical DSGE models," Quantitative Economics, Econometric Society, vol. 2(1), pages 73-98, March.
    22. Michael Weber, 2014. "Nominal Rigidities and Asset Pricing," 2014 Meeting Papers 53, Society for Economic Dynamics.
    23. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    24. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    25. Luca Sala, 2013. "DSGE models in the frequency domain," Working Papers 504, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    26. Olivier Coibion & Yuriy Gorodnichenko, 2010. "Strategic Interaction among Heterogeneous Price-Setters in an Estimated DSGE Model," Working Papers 93, Department of Economics, College of William and Mary.
    27. Renato Faccini & Leonardo Melosi, 2018. "The Role of News about TFP in U.S. Recessions and Booms," Working Paper Series WP-2018-6, Federal Reserve Bank of Chicago.
    28. Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2011. "Moment matching versus Bayesian estimation: Backward-looking behaviour in the new-Keynesian three-equations model," Economics Working Papers 2011-10, Christian-Albrechts-University of Kiel, Department of Economics.
    29. 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.
    30. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Charles Olivier Mao Takongmo, 2021. "DSGE models, detrending, and the method of moments," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 67-99, January.
    32. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    33. Jean Barthélemy & Cl aud, G., 2011. "Global Imbalances and Imported Disinflation in the Euro Area," Working papers 329, Banque de France.
    34. Blasques, Francisco & Duplinskiy, Artem, 2018. "Penalized indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 34-54.
    35. Martin Møller Andreasen, 2008. "Ensuring the Validity of the Micro Foundation in DSGE Models," CREATES Research Papers 2008-26, Department of Economics and Business Economics, Aarhus University.
    36. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    37. Efrem Castelnuovo, 2013. "What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 759-784, October.
    38. Chalmovianský, Jakub & Němec, Daniel, 2022. "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, vol. 116(C).
    39. Bahram Adrangi & Juan Nicolás D’Amico, 2023. "Equity Returns and the Output Shocks in a Dynamic Stochastic General Equilibrium Framework," JRFM, MDPI, vol. 16(5), pages 1-14, April.
    40. Gianluca Moretti & Giulio Nicoletti, 2010. "Estimating DSGE models with unknown data persistence," Temi di discussione (Economic working papers) 750, Bank of Italy, Economic Research and International Relations Area.
    41. MAO TAKONGMO, Charles Olivier, 2019. "Keynesian Models, Detrending, and the Method of Moments," MPRA Paper 91709, University Library of Munich, Germany.
    42. Filippo Ferroni & Stefano Grassi & Miguel A. León-Ledesma, 2017. "Selecting Primal Innovations in DSGE models," Working Paper Series WP-2017-20, Federal Reserve Bank of Chicago.
    43. Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
    44. Filippo Ferroni & Stefano Grassi & Miguel A. Leon-Ledesma, 2015. "Fundamental shock selection in DSGE models," Studies in Economics 1508, School of Economics, University of Kent.
    45. Francisco J. Ruge-Murcia, 2013. "Generalized Method of Moments estimation of DSGE models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 20, pages 464-485, Edward Elgar Publishing.
    46. Normann Rion, 2020. "Fluctuations in a Dual Labor Market," PSE Working Papers halshs-02570540, HAL.
    47. Jay Hyun & Ryan Kim & Byoungchan Lee, 2024. "Business Cycles With Cyclical Returns To Scale," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 253-282, February.
    48. Filippo Ferroni, 2010. "Commentary on MEDEA: A DSGE model for the Spanish economy," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 245-249, March.
    49. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).
    50. Thomas A. Lubik & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2014. "What Inventory Behavior Tells Us About How Business Cycles Have Changed," Working Paper 14-6, Federal Reserve Bank of Richmond.
    51. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.
    52. Sun Xiaojin & Tsang Kwok Ping, 2019. "What cycles? Data detrending in DSGE models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(3), pages 1-23, June.
    53. Varang Wiriyawit, 2014. "Trend Mis-specifications and Estimated Policy Implications in DSGE Models," ANU Working Papers in Economics and Econometrics 2014-615, Australian National University, College of Business and Economics, School of Economics.
    54. Sergei Seleznev, 2016. "Solving DSGE models with stochastic trends," Bank of Russia Working Paper Series wps15, Bank of Russia.
    55. Silvio Michael de Azevedo Costa, 2016. "Structural Trends and Cycles in a DSGE Model for Brazil," Working Papers Series 434, Central Bank of Brazil, Research Department.

  32. Emanuel Moench & Serena Ng & Simon M. Potter, 2009. "Dynamic hierarchical factor models," Staff Reports 412, Federal Reserve Bank of New York.

    Cited by:

    1. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
    3. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2010. "Macroeconomic factors and micro-level bank risk," Discussion Paper Series 1: Economic Studies 2010,20, Deutsche Bundesbank.
    4. Neville Francis & Michael T. Owyang & Özge Savascin, 2012. "An endogenously clustered factor approach to international business cycles," Working Papers 2012-014, Federal Reserve Bank of St. Louis.
    5. Banica Logica & Stefan Liviu Cristian & Jurian Mariana, 2014. "Business Intelligence For Educational Purpose," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 333-338, August.
    6. Hubrich, Kirstin & Marcellino, Massimiliano & Beck, Günter W., 2011. "On the importance of sectoral and regional shocks for price-setting," Working Paper Series 1334, European Central Bank.
    7. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
    9. Filippo Ferroni & Benjamin Klaus, 2015. "Euro Area business cycles in turbulent times: convergence or decoupling?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3791-3815, July.
    10. Parker, Miles, 2017. "Global inflation: the role of food, housing and energy prices," Working Paper Series 2024, European Central Bank.
    11. Krzysztof Beck & Karen Jackson, 2024. "International trade fluctuations: Global versus regional factors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 331-358, February.
    12. Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
    13. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
    14. Michael Kirker, 2010. "What drives core inflation? A dynamic factor model analysis of tradable and nontradable prices," Reserve Bank of New Zealand Discussion Paper Series DP2010/13, Reserve Bank of New Zealand.
    15. Beck, Guenter W. & Hubrich, Kirstin & Marcellino, Massimiliano, 2009. "On the importance of sectoral shocks for price-setting," CFS Working Paper Series 2009/32, Center for Financial Studies (CFS).
    16. Hosszú, Zsuzsanna, 2018. "The impact of credit supply shocks and a new Financial Conditions Index based on a FAVAR approach," Economic Systems, Elsevier, vol. 42(1), pages 32-44.
    17. Bai, Jushan & Wang, Peng, 2012. "Identification and estimation of dynamic factor models," MPRA Paper 38434, University Library of Munich, Germany.
    18. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    19. Marcel Förster & Markus Jorra & Peter Tillmann, 2012. "The Dynamics of International Capital Flows: Results from a Dynamic Hierarchical Factor Model," MAGKS Papers on Economics 201221, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    20. Neville Francis & Eric Ghysels & Michael T. Owyang, 2011. "The low-frequency impact of daily monetary policy shocks," Working Papers 2011-009, Federal Reserve Bank of St. Louis.
    21. Nagayasu, Jun, 2013. "Interdependence in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," MPRA Paper 45955, University Library of Munich, Germany.
    22. 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.
    23. 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.
    24. Clements, Michael P., 2016. "Real-time factor model forecasting and the effects of instability," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 661-675.
    25. Hallin, Marc & Liska, Roman, 2011. "Dynamic factors in the presence of blocks," Journal of Econometrics, Elsevier, vol. 163(1), pages 29-41, July.

  33. Jushan Bai & Chihwa Kao & Serena Ng, 2007. "Panel Cointegration with Global Stochastic Trends," Center for Policy Research Working Papers 90, Center for Policy Research, Maxwell School, Syracuse University.

    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. Byrne, Joseph P. & Fiess, Norbert & MacDonald, Ronald, 2011. "The global dimension to fiscal sustainability," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 137-150, June.
    3. Vincent Bodart & Bertrand Candelon & Jean - François Carpantier, 2011. "Real exchanges rates in commodity producing countries : A reappraisal," Working Papers hal-01821152, HAL.
    4. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    5. Carl S. Bonham & Peter Fuleky & Qianxue Zhao, 2013. "Estimating Demand Elasticities in Non-Stationary Panels: The Case of Hawaii's Tourism Industry," Working Papers 201303, University of Hawaii at Manoa, Department of Economics.
    6. Kassouri, Yacouba & Alola, Andrew Adewale & Savaş, Savaş, 2021. "The dynamics of material consumption in phases of the economic cycle for selected emerging countries," Resources Policy, Elsevier, vol. 70(C).
    7. George Kapetanios & M. Hashem Pesaran & Takashi Yamagata, 2006. "Panels with Nonstationary Multifactor Error Structures," Working Papers 569, Queen Mary University of London, School of Economics and Finance.
    8. Michal Rubaszek & Dobromil Serwa, 2011. "Determinants of credit to households in a life-cycle model," NBP Working Papers 92, Narodowy Bank Polski.
    9. Dassanayake, Geekiyanage Disela Malinga & Kumar, Amit, 2012. "Techno-economic assessment of triticale straw for power generation," Applied Energy, Elsevier, vol. 98(C), pages 236-245.
    10. Zaidi, Syed Anees Haider & Wei, Zixiang & Gedikli, Ayfer & Zafar, Muhammad Wasif & Hou, Fujun & Iftikhar, Yaser, 2019. "The impact of globalization, natural resources abundance, and human capital on financial development: Evidence from thirty-one OECD countries," Resources Policy, Elsevier, vol. 64(C).
    11. Jia Chen & Jiti Gao, 2014. "Semiparametric Model Selection in Panel Data Models with Deterministic Trends and Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 15/14, Monash University, Department of Econometrics and Business Statistics.
    12. Destek, Mehmet Akif & Manga, Muge, 2020. "Technological Innovation, Financialization and Ecological Footprint: Evidence from BEM Economies," MPRA Paper 114151, University Library of Munich, Germany.
    13. Coudert, Virginie & Couharde, Cécile & Mignon, Valérie, 2015. "On the impact of volatility on the real exchange rate – terms of trade nexus: Revisiting commodity currencies," Journal of International Money and Finance, Elsevier, vol. 58(C), pages 110-127.
    14. Zhang, Chunhong & Khan, Irfan & Dagar, Vishal & Saeed, Asif & Zafar, Muhammad Wasif, 2022. "Environmental impact of information and communication technology: Unveiling the role of education in developing countries," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    15. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2010. "Forecasting with Factor-augmented Error Correction Models," CEPR Discussion Papers 7677, C.E.P.R. Discussion Papers.
    16. Mariam Camarero & Inmaculada Martínez-Zarzoso & Felicitas Nowak-Lehmann & Cecilio Tamarit, 2016. "Trade Openness and Income: A Tale of Two Regions," The World Economy, Wiley Blackwell, vol. 39(3), pages 386-408, March.
    17. Jean-François Carpantier, 2019. "Commodity Prices In Empirical Research," LIDAM Discussion Papers IRES 2020021, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    18. Ali, Shahid & Xiaohong, Zhou & Hassan, Syed Tauseef, 2024. "The hidden drivers of human development: Assessing its role in shaping BRICS-T's economics complexity, and bioenergy transition," Renewable Energy, Elsevier, vol. 221(C).
    19. Abrams M.E. Tagem, 2022. "Aid, taxes, and government spending: A heterogeneous co-integrated panel analysis," WIDER Working Paper Series wp-2022-107, World Institute for Development Economic Research (UNU-WIDER).
    20. Vincent Bodart & Bertrand Candelon & Jean-François Carpantier, 2015. "Real exchanges rates, commodity prices and structural factors in developing countries," Post-Print hal-01821129, HAL.
    21. Everaert, Gerdie, 2014. "A panel analysis of the fisher effect with an unobserved I(1) world real interest rate," Economic Modelling, Elsevier, vol. 41(C), pages 198-210.
    22. Muhammad Ibrahim Shah, 2021. "Investigating the Role of Regional Economic Integration on Growth: Fresh Insights from South Asia," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 13(1), pages 35-57, January.
    23. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    24. Tolga Omay & Mubariz Hasanov & Nuri Uçar, 2012. "Energy Consumption and Economic Growth: Evidence from Nonlinear Panel Cointegration and Causality Tests," Hacettepe University Department of Economics Working Papers 20130, Hacettepe University, Department of Economics.
    25. Lastauskas, Povilas & Stakėnas, Julius, 2024. "Labor market policies in high- and low-interest rate environments: Evidence from the euro area," Economic Modelling, Elsevier, vol. 141(C).
    26. Cecilio R. Tamarit Escalona & Estrella Gómez, 2011. "The euro effect on trade: evidence in gravity equations using panel cointegration techniques," Working Papers. Serie EC 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    27. Eberhardt, Markus & Teal, Francis, 2009. "Econometrics for Grumblers: A New Look at the Literature on Cross-Country Growth Empirics," MPRA Paper 15813, University Library of Munich, Germany.
    28. Canale, M. & Fagiano, L. & Milanese, M., 2009. "KiteGen: A revolution in wind energy generation," Energy, Elsevier, vol. 34(3), pages 355-361.
    29. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2012. "The euro impact on trade. Long run evidence with structural breaks," ThE Papers 10/27, Department of Economic Theory and Economic History of the University of Granada..
    30. Sinha, Avik & Gupta, Monika & Shahbaz, Muhammad & Sengupta, Tuhin, 2019. "Impact of Corruption in Public Sector on Environmental Quality: Implications for Sustainability in BRICS and Next 11 Countries," MPRA Paper 94357, University Library of Munich, Germany, revised 05 Jun 2019.
    31. Md. Rabiul Islam & Jakob B. Madsen, 2018. "Knowledge diffusion and agricultural development," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 265-276, March.
    32. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    33. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
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    38. Jushan Bai & Serena Ng, 2008. "Extremum Estimation when the Predictors are Estimated from Large Panels," Annals of Economics and Finance, Society for AEF, vol. 9(2), pages 201-222, November.
    39. Abdullah Alhassan, 2009. "A Coincident Indicator of the Gulf Cooperation Council (GCC) Business Cycle," IMF Working Papers 2009/073, International Monetary Fund.
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    46. Camarero, Mariam & Gómez, Estrella & Tamarit, Cecilio, 2014. "Is the ‘euro effect’ on trade so small after all? New evidence using gravity equations with panel cointegration techniques," Economics Letters, Elsevier, vol. 124(1), pages 140-142.
    47. Shahrin Saaid Shaharuddin & Wee-Yeap Lau & Tien-Ming Yip, 2017. "Dynamic Linkages between Newly Developed Islamic Equity Style Indices: Is Growth Style More Influential Than Value Style?," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 49-64.
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    49. Kim, Young Se, 2015. "Electricity consumption and economic development: Are countries converging to a common trend?," Energy Economics, Elsevier, vol. 49(C), pages 192-202.
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    68. Mirza, Faisal Mehmood & Sinha, Avik & Khan, Javeria Rehman & Kalugina, Olga A. & Zafar, Muhammad Wasif, 2022. "Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries," MPRA Paper 111923, University Library of Munich, Germany, revised 2022.
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    76. Norman R. Swanson & Weiqi Xiong & Xiye Yang, 2020. "Predicting interest rates using shrinkage methods, real‐time diffusion indexes, and model combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 587-613, August.
    77. Geert Mesters & Christian Brownlees, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    78. Eric Bataille & Catherine Bruneau & Frederic Michaud, 2007. "Business cycle and corporate failure in France: Is there a link?," Computational Economics, Springer;Society for Computational Economics, vol. 29(2), pages 173-197, March.
    79. Cosimo Magazzino & Marco Mele & Claudiu Tiberiu Albulescu & Nicholas Apergis & Mihai Ioan Mutascu, 2024. "The presence of a latent factor in gasoline and diesel prices co-movements," Post-Print hal-04802059, HAL.
    80. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
    81. Jiahui Xi & Conghua Wen & Yifan Tang & Feifan Zhao, 2024. "A factor score clustering approach to analyze the biopharmaceutical sector in the Chinese market during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.
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    84. Sun, Yucheng & Xu, Wen & Zhang, Chuanhai, 2023. "Identifying latent factors based on high-frequency data," Journal of Econometrics, Elsevier, vol. 233(1), pages 251-270.
    85. Dong, Yingjie & Huang, Wenxin & Tse, Yiu-Kuen, 2023. "Price comovement and market segmentation of Chinese A- and H-shares: Evidence from a panel latent-factor model," Journal of International Money and Finance, Elsevier, vol. 131(C).
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    88. Kelly, Logan, 2007. "Measuring the Economic Stock of Money," MPRA Paper 4914, University Library of Munich, Germany.
    89. 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.
    90. 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).
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    92. Zafar, Muhammad Wasif & Zaidi, Syed Anees Haider & Sinha, Avik & Gedikli, Ayfer & Hou, Fujun, 2019. "The role of stock market and banking sector development, and renewable energy consumption in carbon emissions: Insights from G-7 and N-11 countries," Resources Policy, Elsevier, vol. 62(C), pages 427-436.
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    Cited by:

    1. Massimiliano Marcellino, 2007. "Pooling‐Based Data Interpolation and Backdating," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(1), pages 53-71, January.
    2. Kilian, Lutz & Inoue, Atsushi, 2005. "How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation," CEPR Discussion Papers 5304, C.E.P.R. Discussion Papers.
    3. Antoine A. Djogbenou, 2020. "Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
    4. Angelini, Elena & Henry, Jerome & Marcellino, Massimiliano, 2006. "Interpolation and backdating with a large information set," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2693-2724, December.
    5. Bai, Jushan & Ng, Serena, 2006. "Evaluating latent and observed factors in macroeconomics and finance," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 507-537.
    6. Daniel Kaufmann & Sarah M. Lein, 2012. "Is There a Swiss Price Puzzle?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(I), pages 57-75, March.

  39. Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.

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    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
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    5. Jean-Armand Gnagne & Kevin Moran, 2020. "Forecasting Bank Failures in a Data-Rich Environment," Working Papers 20-13, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    6. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    7. Ivana Komunjer & Michael T. Owyang, 2012. "Multivariate Forecast Evaluation and Rationality Testing," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1066-1080, November.
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    9. Dimitris, Korobilis, 2013. "Forecasting with Factor Models: A Bayesian Model Averaging Perspective," MPRA Paper 52724, University Library of Munich, Germany.
    10. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
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    15. Riccardo Borghi & Eric Hillebrand & Jakob Mikkelsen & Giovanni Urga, 2018. "The dynamics of factor loadings in the cross-section of returns," CREATES Research Papers 2018-38, Department of Economics and Business Economics, Aarhus University.
    16. Herman Kamil & Jose David Pulido & Jose Luis Torres, 2010. "El "IMACO": un índice mensual líder de la actividad económica en Colombia," Borradores de Economia 609, Banco de la Republica de Colombia.
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    18. Hilde C. Bjørnland & Julia Zhulanova, 2019. "The shale oil boom and the U.S. economy: Spillovers and time-varying effects," Working Paper 2019/14, Norges Bank.
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    21. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    22. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    23. 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.
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    25. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi, September.
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    27. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2008. "Forecasting Macroeconomic Variables Using Diffusion Indexes in Short Samples with Structural Change," Economics Working Papers ECO2008/17, European University Institute.
    28. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    29. Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
    30. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    31. Tomohiro Ando & Ruey S. Tsay, 2014. "A Predictive Approach for Selection of Diffusion Index Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 68-99, June.
    32. Dai, Zhifeng & Zhang, Xiaotong & Li, Tingyu, 2023. "Forecasting stock return volatility in data-rich environment: A new powerful predictor," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    33. Alberto Caruso & Laura Coroneo, 2023. "Does Real‐Time Macroeconomic Information Help to Predict Interest Rates?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2027-2059, December.
    34. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    35. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    36. Ahn, Seung C. & Perez, M. Fabricio, 2010. "GMM estimation of the number of latent factors: With application to international stock markets," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 783-802, September.
    37. Poncela, Pilar & Ruiz Ortega, Esther, 2012. "More is not always better : back to the Kalman filter in dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS ws122317, Universidad Carlos III de Madrid. Departamento de Estadística.
    38. Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
    39. Françoise Charpin & Catherine Mathieu & Gian Luigi Mazzi, 2008. "Construction of coincident indicators for the euro area. 5th EUROSTAT Colloquium on Modern Tools For Business Cycle Analysis, Luxembourg, 29th September - 1st October 2008," Post-Print hal-01053253, HAL.
    40. Frank A. G. den Butter & Pieter W. Jansen, 2013. "Beating the random walk: a performance assessment of long-term interest rate forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 23(9), pages 749-765, May.
    41. László Békési & Lorant Kaszab & Szabolcs Szentmihályi, 2017. "The EAGLE model for Hungary - a global perspective," MNB Working Papers 2017/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    42. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2010. "Macroeconomic factors and micro-level bank risk," Discussion Paper Series 1: Economic Studies 2010,20, Deutsche Bundesbank.
    43. Jaime Martínez-Martín & Elena Rusticelli, 2020. "Keeping track of global trade in real time," Working Papers 2019, Banco de España.
    44. T. Ando & R. S. Tsay, 2009. "‘Model selection for generalized linear models with factor‐augmented predictors’," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 243-246, May.
    45. 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, revised May 2025.
    46. Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021. "Forecasting stock returns with large dimensional factor models," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
    47. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    48. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    49. Klaus Abberger & Michael Graff & Boriss Siliverstovs & Jan-Egbert Sturm, 2014. "The KOF Economic Barometer, Version 2014," KOF Working papers 14-353, KOF Swiss Economic Institute, ETH Zurich.
    50. Carlo A. Favero & Linlin Niu & Luca Sala, 2007. "Term Structure Forecasting: No-arbitrage Restrictions vs. Large Information Set," Working Papers 318, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    51. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
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    53. S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-time measurement of business conditions," International Finance Discussion Papers 901, Board of Governors of the Federal Reserve System (U.S.).
    54. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2006. "A Two-step estimator for large approximate dynamic factor models based on Kalman filtering," THEMA Working Papers 2006-23, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    55. Audrone Jakaitiene & Stephane Dees, 2012. "Forecasting the World Economy in the Short Term," The World Economy, Wiley Blackwell, vol. 35(3), pages 331-350, March.
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    57. Hyeongwoo Kim & Kyunghwan Ko, 2017. "Improving Forecast Accuracy of Financial Vulnerability: Partial Least Squares Factor Model Approach," Working Papers 2017-14, Economic Research Institute, Bank of Korea.
    58. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
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    63. Alhassan Abdullah Mohammed, 2011. "A Coincident Indicator of the Gulf Cooperation Council Business Cycle," Review of Middle East Economics and Finance, De Gruyter, vol. 6(3), pages 1-23, February.
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    490. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    491. Karim Barhoumi & Olivier Darn & Laurent Ferrara, 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    492. Stephane DEES & Audrone JAKAITIENE, 2008. "Short-term Forecasting Methods of International Trade Variables," EcoMod2008 23800029, EcoMod.
    493. Shintani, Mototsugu & Guo, Zi-Yi, 2011. "Finite Sample Performance of Principal Components Estimators for Dynamic Factor Models: Asymptotic vs. Bootstrap Approximations," EconStor Preprints 167627, ZBW - Leibniz Information Centre for Economics.
    494. Álvaro Aguirre R. & Luis Felipe Céspedes C., 2004. "Use of Dynamic Factor Analysis in Macroeconomic Forecasts," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 7(3), pages 35-46, December.
    495. 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.).
    496. Nikolaos Zirogiannis & Yorghos Tripodis, 2013. "A Generalized Dynamic Factor Model for Panel Data: Estimation with a Two-Cycle Conditional Expectation-Maximization Algorithm," Working Papers 2013-1, University of Massachusetts Amherst, Department of Resource Economics.
    497. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.
    498. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    499. 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.
    500. Andrea Nobili, 2009. "Composite indicators for monetary analysis," Temi di discussione (Economic working papers) 713, Bank of Italy, Economic Research and International Relations Area.
    501. Christian Gillitzer & Jonathan Kearns, 2007. "Forecasting with Factors: The Accuracy of Timeliness," RBA Research Discussion Papers rdp2007-03, Reserve Bank of Australia.
    502. 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.
    503. Heij, C., 2007. "Improved forecasting with leading indicators: the principal covariate index," Econometric Institute Research Papers EI 2007-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    504. Chen, Pu, 2010. "A Grouped Factor Model," MPRA Paper 28083, University Library of Munich, Germany, revised 11 Jan 2011.
    505. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    506. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
    507. Riadh Trabelsi, 2024. "Sources of macroeconomic fluctuations in Tunisia: a structural VAR approach," SN Business & Economics, Springer, vol. 4(10), pages 1-28, October.
    508. 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.
    509. Urasawa, Satoshi, 2014. "Real-time GDP forecasting for Japan: A dynamic factor model approach," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 116-134.
    510. Swamy, Vighneswara, 2020. "Macroeconomic transmission of Eurozone shocks to India—A mean-adjusted Bayesian VAR approach," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 126-150.
    511. Aysun, Uluc & Wright, Cardel, 2024. "A two-step dynamic factor modelling approach for forecasting inflation in small open economies," Emerging Markets Review, Elsevier, vol. 62(C).
    512. Alessandro Barbarino & Efstathia Bura, 2015. "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series 2015-74, Board of Governors of the Federal Reserve System (U.S.).
    513. Hasnain Iftikhar & Faridoon Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application," Mathematics, MDPI, vol. 13(7), pages 1-18, March.
    514. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.

  40. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Lee, Hwa-Taek & Yoon, Gawon, 2007. "Does Purchasing Power Parity Hold Sometimes? Regime Switching in Real Exchange Rates," Economics Working Papers 2007-24, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Maican, Florin G. & Sweeney, Richard J., 2006. "Real Exchange Rate Adjustment In European Transition Countries," Working Papers in Economics 202, University of Gothenburg, Department of Economics.
    3. Seung Hyun Hong & Peter C. B. Phillips, 2005. "Testing Linearity in Cointegrating Relations with an Application to Purchasing Power Parity," Cowles Foundation Discussion Papers 1541, Cowles Foundation for Research in Economics, Yale University.
    4. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2002. "A simple test for PPP among traded goods," Econometric Institute Research Papers EI 2002-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. De-Chih Liu, 2011. "Hysteresis Hypothesis in Job Creation and Destruction: Evidence from the U.S," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 389-409, November.
    6. Jaramillo Franco, Miguel & Serván Lozano, Sergio, 2012. "Modeling exchange rate dynamics in Peru: A cointegration approach using the UIP and PPP," MPRA Paper 70772, University Library of Munich, Germany.
    7. Alan M. Taylor, 2002. "A Century Of Purchasing-Power Parity," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 139-150, February.
    8. Mazzotta, Stefano, 2008. "How important is asymmetric covariance for the risk premium of international assets?," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1636-1647, August.
    9. Frederic Bec & Melika Ben Salem & Marine Carrasco, 2004. "Tests for Unit-Root versus Threshold Specification With an Application to the Purchasing Power Parity Relationship," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 382-395, October.
    10. de Andrade, Joaquim Pinto & Divino, Jose Angelo, 2005. "Monetary policy of the Bank of Japan--inflation target versus exchange rate target," Japan and the World Economy, Elsevier, vol. 17(2), pages 189-208, April.
    11. Gawon Yoon, 2003. "The time series behaviour of Brazilian inflation rate: new evidence from unit root tests with good size and power," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 627-631.
    12. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.
    13. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter," Working Papers 201440, University of Pretoria, Department of Economics.
    14. David O. Cushman, 2008. "Real exchange rates may have nonlinear trends," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 158-173.
    15. Christoph Fischer & Daniel Porath, 2010. "A reappraisal of the evidence on PPP: a systematic investigation into MA roots in panel unit root tests and their implications," Empirical Economics, Springer, vol. 39(3), pages 767-792, December.
    16. Sofiane H. Sekioua, 2004. "Real interest parity (RIP) over the 20th century: New evidence based on confidence intervals for the dominant root and half-lives of shocks," Money Macro and Finance (MMF) Research Group Conference 2004 91, Money Macro and Finance Research Group.

  41. Serena Ng, 2001. "Can Sticky Prices Account for the Variations and Persistence in Real Exchange Rates?," Economics Working Paper Archive 468, The Johns Hopkins University,Department of Economics.

    Cited by:

    1. Ganguly, Srideep & Breuer, Janice Boucher, 2010. "Nominal exchange rate volatility, relative price volatility, and the real exchange rate," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 840-856, September.
    2. Wu, Jyh-Lin & Chen, Pei-Fen, 2008. "A revisit on dissecting the PPP puzzle: Evidence from a nonlinear approach," Economic Modelling, Elsevier, vol. 25(4), pages 684-695, July.
    3. Mahbub Morshed, A.K.M. & Turnovsky, Stephen J., 2011. "Real exchange rate dynamics: The role of elastic labor supply," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1303-1322.
    4. Georgios Chortareas & George Kapetanios, 2004. "How Puzzling is the PPP Puzzle? An Alternative Half-Life Measure of Convergence to PPP," Working Papers 522, Queen Mary University of London, School of Economics and Finance.
    5. Hafedh Bouakez, 2003. "Real Exchange Rate Persistence in Dynamic General-Equilibrium Sticky-Price Models: An Analytical Characterization," Staff Working Papers 03-35, Bank of Canada.
    6. hafedh bouakez, 2003. "Nominal Rigidity, Desired Markup Variations, and Real Exchange Rate Persistence," Computing in Economics and Finance 2003 52, Society for Computational Economics.
    7. Mohsin, Mohammed & Park, Kihyun, 2015. "Monetary policy in a two-sector dependent economy," Economic Modelling, Elsevier, vol. 46(C), pages 118-129.
    8. John W. Keating & Isaac K. Kanyama, 2015. "Is sticky price adjustment important for output fluctuations?," Review of Keynesian Economics, Edward Elgar Publishing, vol. 3(3), pages 392-418, July.
    9. Souki, Kaouthar & Enders, Walter, 2008. "Assessing the importance of global shocks versus country-specific shocks," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1420-1429, December.

  42. Jushan Bai & Serena Ng, 2001. "A PANIC Attack on Unit Roots and Cointegration," Boston College Working Papers in Economics 519, Boston College Department of Economics.

    Cited by:

    1. Corielli, Francesco & Marcellino, Massimiliano, 2006. "Factor based index tracking," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2215-2233, August.
    2. Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
    3. Christian Dreger & Hans-Eggert Reimers, 2006. "Hysteresis and Persistence in the Course of Unemployment: The EU and US Experience," Discussion Papers of DIW Berlin 572, DIW Berlin, German Institute for Economic Research.
    4. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Husain, Shaiara & Sohag, Kazi & Wu, Yanrui, 2024. "Proven reserve oil and renewable energy nexus: Efficacy of policy stringency," Resources Policy, Elsevier, vol. 90(C).
    6. Matteo Barigozzi & Lorenzo Trapani, 2018. "Determining the dimension of factor structures in non-stationary large datasets," Papers 1806.03647, arXiv.org.
    7. Kwaku Addai & Berna Serener & Dervis Kirikkaleli, 2022. "Asymmetricity in the Effect of Economic and Environmental Factors on Social Sustainability: Empirical Evidence from Eastern European Economies using Dynamic Analysis with CCEMG & D-H Causality Approac," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 12(3), pages 75-93.
    8. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
    9. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "Network effects of public transport infrastructure: Evidence on Italian regions," Papers in Regional Science, Wiley Blackwell, vol. 91(3), pages 515-541, August.
    10. Cheng, Ka Ming & Durmaz, Nazif & Kim, Hyeongwoo & Stern, Michael L., 2012. "Hysteresis vs. natural rate of US unemployment," Economic Modelling, Elsevier, vol. 29(2), pages 428-434.
    11. Gilles Dufrénot & Valérie Mignon & Anne Péguin-Feissolle, 2007. "Testing the Finance-Growth Link: is There a Difference Between Developed and Developing Countries?," Working Papers 2007-24, CEPII research center.
    12. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Post-Print hal-03539371, HAL.
    13. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
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    16. Byron Quito & María de la Cruz del Río‐Rama & José Álvarez‐García & Ronny Correa‐Quezada, 2022. "Impact factors and space‐time characteristics of income inequality in a global sample," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1850-1868, December.
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    20. 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.
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    25. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
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    29. Cristina Conflitti and Matteo Luciani, 2019. "Oil Price Pass-through into Core Inflation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
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    31. N.M. Odhiambo, 2022. "Does Foreign Direct Investment Spur Economic Growth? New Empirical Evidence from Sub-Saharan African Countries," Working Papers AESRI-2022-20, African Economic and Social Research Institute (AESRI), revised Jul 2022.
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    33. Xingwu Zhou & Martin Solberger, 2017. "A Lagrange Multiplier-Type Test for Idiosyncratic Unit Roots in the Exact Factor Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 22-50, January.
    34. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    35. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    36. Céline Gimet & Thomas Lagoarde-Segot, 2012. "Financial sector development and access to finance. Does size say it all?," Post-Print halshs-00764518, HAL.
    37. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
    38. Eickmeier, Sandra, 2006. "Comovements and heterogeneity in the Comovements and heterogeneity in the dynamic factor model," Discussion Paper Series 1: Economic Studies 2006,31, Deutsche Bundesbank.
    39. Mehmet MERCAN, 2014. "Feldstein-Horioka Hipotezinin AB-15 ve Turkiye Ekonomisi icin Sinanmasi: Yatay Kesit Bagimliligi Altinda Yapisal Kirilmali Dinamik Panel Veri Analizi," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 14(2), pages 231-245.
    40. Lajos Baráth & Imre Fertő, 2017. "Productivity and Convergence in European Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 228-248, February.
    41. Shruti Shastri & A. K. Giri & Geetilaxmi Mohapatra, 2018. "Testing the Sustainability of Current Accounts for Major South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(1), pages 1-21, March.
    42. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    43. Chan, Tze-Haw & Baharumshah, Ahmad Zubaidi, 2012. "Financial Integration between China and Asia Pacific Trading Partners: Parities Evidence from the First- and Second-generation Panel Tests," MPRA Paper 37801, University Library of Munich, Germany.
    44. Afees A. Salisu, 2018. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Working Papers 049, Centre for Econometric and Allied Research, University of Ibadan.
    45. Nagayasu, Jun, 2013. "Co-movements in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," SIRE Discussion Papers 2013-66, Scottish Institute for Research in Economics (SIRE).
    46. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    47. Lee, Yonghee & Shin, Dong Wan, 2009. "Optimal tests against the alternative hypothesis of panel unit roots," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2275-2283, April.
    48. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950?," Working Papers hal-00717435, HAL.
    49. Zhongwei, Huang & Liu, Yishu, 2022. "The role of eco-innovations, trade openness, and human capital in sustainable renewable energy consumption: Evidence using CS-ARDL approach," Renewable Energy, Elsevier, vol. 201(P1), pages 131-140.
    50. Makram El‐Shagi, 2012. "The Distorting Impact of Capital Controls," German Economic Review, Verein für Socialpolitik, vol. 13(1), pages 41-55, February.
    51. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    52. Gengenbach, C. & Urbain, J.R.Y.J. & Westerlund, J., 2008. "Panel error correction testing with global stochastic trends," Research Memorandum 051, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    53. Uwe Hassler & Matei Demetrescu & Adina Tarcolea, 2011. "Asymptotic normal tests for integration in panels with cross-dependent units," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(2), pages 187-204, June.
    54. de Bandt, Olivier & Banerjee, Anindya & Kozluk, Tomasz, 2007. "Measuring Long-Run Exchange Rate Pass-Through," Economics Discussion Papers 2007-32, Kiel Institute for the World Economy (IfW Kiel).
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    56. Hyeongwoo Kim & Wen Shi, 2017. "The Determinants of the Benchmark Interest Rates in China: A Discrete Choice Model Approach," Auburn Economics Working Paper Series auwp2017-04, Department of Economics, Auburn University.
    57. Poncela, Pilar & Ruiz Ortega, Esther, 2012. "More is not always better : back to the Kalman filter in dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS ws122317, Universidad Carlos III de Madrid. Departamento de Estadística.
    58. Lopez, Claude & Papell, David, 2010. "Testing for Group-Wise Convergence with an Application to Euro Area Inflation," MPRA Paper 20585, University Library of Munich, Germany.
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    66. Ulrich Fritsche & Vladimir Kuzin, 2007. "Unit Labor Cost Growth Differentials in the Euro Area, Germany, and the US: Lessons from PANIC and Cluster Analysis," Discussion Papers of DIW Berlin 667, DIW Berlin, German Institute for Economic Research.
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    1. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    2. Yoosoon Chang, 2000. "Bootstrap Unit Root Tests in Panels with Cross-Sectional Dependency," Econometric Society World Congress 2000 Contributed Papers 1585, Econometric Society.
    3. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2007. "Expectations Hypothesis Tests in the Presence of Model Uncertainty," Discussion Paper Series 0703, Institute of Economic Research, Korea University.
    4. Fossati, Sebastian, 2011. "Covariate Unit Root Tests with Good Size and Power," Working Papers 2011-4, University of Alberta, Department of Economics.
    5. Olivier Coibion, 2012. "Are the Effects of Monetary Policy Shocks Big or Small?," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 1-32, April.
    6. Gluschenko, Konstantin, 2017. "Spatial pattern of Russia’s market integration," MPRA Paper 76995, University Library of Munich, Germany.
    7. Antonakakis, Nikolaos & Badinger, Harald, 2012. "Output Volatility, Economic Growth, and Cross-Country Spillovers: New Evidence for the G7 Countries," Department of Economics Working Paper Series 141, WU Vienna University of Economics and Business.
    8. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    9. Barbier de la Serre, A. & Sébastien Frappa & J Rémy Montorn s & Murez, M., 2008. "La transmission des taux de march aux taux bancaires : une estimation sur donn es individuelles fran aises," Working papers 194, Banque de France.
    10. Gluschenko, Konstantin, 2018. "Market of the Novosibirsk Oblast in the System of Regional Markets," MPRA Paper 83649, University Library of Munich, Germany.
    11. Cavaliere, G. & Phillips, P.C.B. & Smeekes, S. & Taylor, A.M.R., 2011. "Lag length selection for unit root tests in the presence of nonstationary volatility," Research Memorandum 056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    13. David Harris & Hsein Kew & A. M. Robert Taylor, 2020. "Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem," Monash Econometrics and Business Statistics Working Papers 8/20, Monash University, Department of Econometrics and Business Statistics.
    14. Gluschenko, Konstantin, 2011. "Price convergence and market integration in Russia," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 160-172, March.
    15. Qu, Zhongjun & Perron, Pierre, 2007. "A Modified Information Criterion For Cointegration Tests Based On A Var Approximation," Econometric Theory, Cambridge University Press, vol. 23(4), pages 638-685, August.
    16. Vicente German‐Soto & Konstantin Gluschenko, 2023. "Long‐term regional convergence in Mexico: A new look," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 963-991, May.
    17. Zacharias Psaradakis & Marián Vávra, 2015. "Portmanteau Tests for Linearity of Stationary Time Series," Birkbeck Working Papers in Economics and Finance 1514, Birkbeck, Department of Economics, Mathematics & Statistics.
    18. Dukpa Kim & Tatsushi Oka & Francisco Estrada & Pierre Perron, 2018. "Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures," Papers 1805.09937, arXiv.org.
    19. Balsalobre-Lorente, Daniel & Driha, Oana M. & Bekun, Festus & Sinha, Avik & Fatai Adedoyin, Festus, 2020. "Consequences of COVID-19 on the social isolation of the Chinese economy: accounting for the role of reduction in carbon emissions," MPRA Paper 102894, University Library of Munich, Germany, revised 2020.
    20. Heij, Christiaan & van Dijk, Dick & Groenen, Patrick J.F., 2008. "Macroeconomic forecasting with matched principal components," International Journal of Forecasting, Elsevier, vol. 24(1), pages 87-100.
    21. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.
    22. Peter Sephton, 2008. "Critical values of the augmented fractional Dickey–Fuller test," Empirical Economics, Springer, vol. 35(3), pages 437-450, November.
    23. Diaz-Emparanza, Ignacio, 2014. "Numerical distribution functions for seasonal unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 237-247.
    24. Zhang, Wanqing & Lin, Zi & Liu, Xiaolei, 2022. "Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Te," Renewable Energy, Elsevier, vol. 185(C), pages 611-628.
    25. K. P. Gluschenko, 2023. "Regional Inequality in Russia: Anatomy of Convergence," Regional Research of Russia, Springer, vol. 13(1), pages 1-12, December.
    26. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    27. Marian Vavra, 2012. "Robustness of Power Properties of Non-linearity Tests," Birkbeck Working Papers in Economics and Finance 1205, Birkbeck, Department of Economics, Mathematics & Statistics.
    28. Peter Sephton, 2009. "Critical values for the augmented efficient Wald test for fractional unit roots," Empirical Economics, Springer, vol. 37(3), pages 615-626, December.
    29. Sobieralski, Joseph B., 2013. "The optimal aviation gasoline tax for U.S. general aviation," Transport Policy, Elsevier, vol. 29(C), pages 186-191.
    30. Tiia P¸ss & Mare Viies & Reet Maldre, 2007. "Convergence Analysis of the Structure of Tax Revenue and Tax Burden in EU," Working Papers 166, Tallinn School of Economics and Business Administration, Tallinn University of Technology.
    31. Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.
    32. Kreiter, Zebulun & Paul, Tapas Kumar, 2010. "Deficit Financing and Inflation in Bangladesh: A Vector Autoregressive Analysis," MPRA Paper 45981, University Library of Munich, Germany.
    33. Gluschenko, Konstantin, 2017. "The Moscow market in the country’s economic space," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 5-21.
    34. Donovan, Geoffrey H. & Prestemon, Jeffrey P. & Butry, David T. & Kaminski, Abigail R. & Monleon, Vicente J., 2021. "The politics of urban trees: Tree planting is associated with gentrification in Portland, Oregon," Forest Policy and Economics, Elsevier, vol. 124(C).
    35. German-Soto, Vicente & Gluschenko, Konstantin, 2021. "Long-Run Cross-State Growth Comparison in Mexico," MPRA Paper 109015, University Library of Munich, Germany.
    36. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    37. Ricardo Quineche Uribe & Gabriel Rodríguez, 2015. "Data-Dependent Methods for the Lag Length Selection in Unit Root Tests with Structural Change," Documentos de Trabajo / Working Papers 2015-404, Departamento de Economía - Pontificia Universidad Católica del Perú.
    38. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
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    1. Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin, 2014. "Currency Crises Early Warning Systems: Why They Should Be Dynamic," Post-Print hal-01385975, HAL.
    2. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    3. Jushan Bai; Josep Lluís Carrion-i-Silvestre, 2004. "Structural changes, common stochastic trends and unit roots in panel data," Econometric Society 2004 North American Summer Meetings 345, Econometric Society.
    4. Simón Sosvilla-Rivero & Emma García, "undated". "Purchasing Power Parity Revisited," Working Papers 2003-20, FEDEA.
    5. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    6. Jorge Selaive C. & Valentín Délano T., 2006. "Sovereign Spreads: a Factorial Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 9(1), pages 49-67, April.
    7. Jönsson, Kristian, 2004. "Testing for Stationarity in Panel Data Models when Disturbances are Cross-Sectionally Correlated," Working Papers 2004:17, Lund University, Department of Economics, revised 26 Nov 2004.
    8. Choi, Chi-Young, 2004. "Searching for evidence of long-run PPP from a post-Bretton Woods panel: separating the wheat from the chaff," Journal of International Money and Finance, Elsevier, vol. 23(7-8), pages 1159-1186.

  45. Jushan Bai & Serena Ng, 2001. "Tests for Skewness, Kurtosis, and Normality for Time Series Data," Boston College Working Papers in Economics 501, Boston College Department of Economics.

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    1. Angus Moore, 2016. "Measuring Economic Uncertainty and Its Effects," RBA Research Discussion Papers rdp2016-01, Reserve Bank of Australia.
    2. Merkl, Christian & Kohlbrecher, Britta, 2016. "Business Cycle Asymmetries and the Labor Market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145704, Verein für Socialpolitik / German Economic Association.
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    8. Tatevik Sekhposyan & Barbara Rossi, 2015. "Alternative Tests for Correct Specification of Conditional Predictive Densities," Working Papers 758, Barcelona School of Economics.
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    2004. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.
    2005. Seunghoon Na & Hyunseung Oh, 2020. "Computerizing Households and the Role of Investment-Specific Productivity in Business Cycles," International Finance Discussion Papers 1292, Board of Governors of the Federal Reserve System (U.S.).
    2006. Hugo Freeman, 2022. "Linear Multidimensional Regression with Interactive Fixed-Effects," Papers 2209.11691, arXiv.org, revised Mar 2025.
    2007. Konstantin S. Rybak, 2023. "Evaluating the Role of Global Factors in GDP Nowcasting [Анализ Важности Глобальных Факторов Для Наукастинга Ввп]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 18-23, December.
    2008. Pionati, Alessandro, 2025. "Latent grouped structures in panel data: a review," MPRA Paper 123954, University Library of Munich, Germany.
    2009. 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.
    2010. Gerdie Everaert & Freddy Heylen & Ruben Schoonackers, 2015. "Fiscal policy and TFP in the OECD: measuring direct and indirect effects," Empirical Economics, Springer, vol. 49(2), pages 605-640, September.
    2011. 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.
    2012. Dante Amengual & Luca Repetto, 2014. "Testing a Large Number of Hypotheses in Approximate Factor Models," Working Papers wp2014_1410, CEMFI.
    2013. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    2014. Cerqueti, Roy & Ficcadenti, Valerio & Mattera, Raffaele, 2024. "Investors’ attention and network spillover for commodity market forecasting," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    2015. Maurizio Daniele & Julie Schnaitmann, 2019. "A Regularized Factor-augmented Vector Autoregressive Model," Papers 1912.06049, arXiv.org.
    2016. Dai, Wei & Tsang, Ka Wai, 2023. "A resampling approach for confidence intervals in linear time-series models after model selection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    2017. 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.
    2018. Lam, Clifford & Yao, Qiwei, 2012. "Factor modeling for high-dimensional time series: inference for the number of factors," LSE Research Online Documents on Economics 45684, London School of Economics and Political Science, LSE Library.
    2019. He, Lingyu & Huang, Fei & Shi, Jianjie & Yang, Yanrong, 2021. "Mortality forecasting using factor models: Time-varying or time-invariant factor loadings?," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 14-34.
    2020. Xisong Jin & Francisco Nadal De Simone, 2016. "Tracking Changes in the Intensity of Financial Sector's Systemic Risk," BCL working papers 102, Central Bank of Luxembourg.
    2021. Dario Cziraky & Max Gillman, 2004. "Inflation and Endogenous Growth in Underground Economies," wiiw Balkan Observatory Working Papers 50, The Vienna Institute for International Economic Studies, wiiw.
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    2023. Alessandro Barbarino & Efstathia Bura, 2015. "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series 2015-74, Board of Governors of the Federal Reserve System (U.S.).
    2024. Aastveit, Knut Are, 2014. "Oil price shocks in a data-rich environment," Energy Economics, Elsevier, vol. 45(C), pages 268-279.
    2025. Hasnain Iftikhar & Faridoon Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application," Mathematics, MDPI, vol. 13(7), pages 1-18, March.
    2026. Byron Botha & Tim Olds & Geordie Reid & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African gross domestic product using a suite of statistical models," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 526-554, December.
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    2036. 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.
    2037. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.
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  47. Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.

    Cited by:

    1. Arthur Thomas & Olivier Massol & Benoît Sévi, 2020. "How are Day-Ahead Prices Informative for Predicting the Next Day’s Consumption of Natural Gas ?," Working Papers hal-03178474, HAL.
    2. Luca Pieroni & Donatella Lanari & Luca Salmasi, 2010. "Food Prices and Overweight Patterns in Italy," EERI Research Paper Series EERI_RP_2010_40, Economics and Econometrics Research Institute (EERI), Brussels.
    3. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    4. Chang, C-L. & Khamkaew, T. & McAleer, M.J., 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Econometric Institute Research Papers EI 2010-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    6. Ogura, Manami, 2011. "Testing for structural break in Japanese demand system after the bubble era," Structural Change and Economic Dynamics, Elsevier, vol. 22(3), pages 277-286, September.
    7. William Barnett & Apostolos Serletis, 2009. "The Differential Approach to Demand Analysis and the Rotterdam Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200902, University of Kansas, Department of Economics, revised Jan 2009.
    8. Nikolay Gospodinov & Ian Irvine, 2005. "A ‘long march’ perspective on tobacco use in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 366-393, May.
    9. Andrea Saayman & Isabel Cortés-Jiménez, 2013. "Modelling Intercontinental Tourism Consumption in South Africa: A Systems-of-Equations Approach," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 538-560, December.
    10. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Documentos de Trabajo del ICAE 2012-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Zheng, Xiaoyong & Zhen, Chen, 2008. "Healthy food, unhealthy food and obesity," Economics Letters, Elsevier, vol. 100(2), pages 300-303, August.
    12. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).
    13. Considine, Timothy J., 2018. "Estimating concave substitution possibilities with non-stationary data using the dynamic linear logit demand model," Economic Modelling, Elsevier, vol. 72(C), pages 22-30.
    14. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    15. Acharya, Rajesh H. & Sadath, Anver C., 2017. "Implications of energy subsidy reform in India," Energy Policy, Elsevier, vol. 102(C), pages 453-462.
    16. Pieroni, Luca, 2009. "Does defence expenditure affect private consumption? Evidence from the United States," Economic Modelling, Elsevier, vol. 26(6), pages 1300-1309, November.
    17. Saayman, Andrea & Viljoen, Armand & Saayman, Melville, 2018. "Africa’s outbound tourism: An Almost Ideal Demand System perspective," Annals of Tourism Research, Elsevier, vol. 73(C), pages 141-158.
    18. Blundell, Richard & Kristensen, Dennis & Matzkin, Rosa, 2014. "Bounding quantile demand functions using revealed preference inequalities," Journal of Econometrics, Elsevier, vol. 179(2), pages 112-127.
    19. Choi, Chi-Young & Hu, Ling & Ogaki, Masao, 2008. "Robust estimation for structural spurious regressions and a Hausman-type cointegration test," Journal of Econometrics, Elsevier, vol. 142(1), pages 327-351, January.
    20. Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.
    21. Chi-Young Choi & Ling Hu & Masao Ogaki, 2005. "Structural Spurious Regressions and A Hausman-type Cointegration Test," RCER Working Papers 517, University of Rochester - Center for Economic Research (RCER).
    22. Huffman, Wallace E., 2011. "Household Production and the Demand for Food and Other Inputs: U.S. Evidence," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-23, December.
    23. Apostolos Serletis & Maksim Isakin, "undated". "Stochastic Volatility Demand Systems," Working Papers 2014-74, Department of Economics, University of Calgary, revised 29 Sep 2014.
    24. David Aristei & Luca Pieroni, 2005. "Estimating the Role of Government Expenditure in Long-run Consumption," Quaderni del Dipartimento di Economia, Finanza e Statistica 13/2005, Università di Perugia, Dipartimento Economia.
    25. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    26. Nurul Hossain, A.K.M. & Serletis, Apostolos, 2017. "A century of interfuel substitution," Journal of Commodity Markets, Elsevier, vol. 8(C), pages 28-42.
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    28. Resende Filho, M A & Bressan, V G F & Braga, M J & Bressan, A A, 2011. "Sobre a Demanda Agregada por Carnes no Mercado Brasileiro [On the Demand for Meat in Brazil]," MPRA Paper 31818, University Library of Munich, Germany.

  48. Ng, Serena & Vogelsang, Tim, 2000. "Forecasting Autoregressive Time Series in the Presence of Deterministic Components," Working Papers 00-07, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Mohitosh Kejriwal & Xuewen Yu, 2019. "Generalized Forecasr Averaging in Autoregressions with a Near Unit Root," Purdue University Economics Working Papers 1318, Purdue University, Department of Economics.
    2. Mynbaev, Kairat, 2003. "Asymptotic properties of OLS estimates in autoregressions with bounded or slowly growing deterministic trends," MPRA Paper 18448, University Library of Munich, Germany, revised 2005.
    3. HARA, Naoko & YAMAMOTO, Yohei, 2024. "Testing and Quantifying Economic Resilience," Discussion paper series HIAS-E-142, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    4. John L. Turner, 2004. "Local to unity, long-horizon forecasting thresholds for model selection in the AR(1)," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 513-539.
    5. Falk, Barry & Roy, Anindya, 2005. "Forecasting using the trend model with autoregressive errors," International Journal of Forecasting, Elsevier, vol. 21(2), pages 291-302.
    6. Barry K. Goodwin & Matthew T. Holt & Jeffrey P. Prestemon, 2021. "Semi-parametric models of spatial market integration," Empirical Economics, Springer, vol. 61(5), pages 2335-2361, November.

  49. Donald Cox & Serena Ng & Andreas Waldkirch, 2000. "Intergenerational Linkages in Consumption Behavior," Boston College Working Papers in Economics 482, Boston College Department of Economics.

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    1. Anna Sanz-de-Galdeano & Daniela Vuri & Maria Loureiro, 2015. "Smoking Habits: Like Father, Like Son, Like Mother, Like Daughter," Working Papers 402, Barcelona School of Economics.
    2. Jordi Caballé & Ana Moro-Egido, 2008. "The Effect of Aspirations, Habits, and Social Security on the Distribution of Wealth," UFAE and IAE Working Papers 761.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    3. Andrés Romeu & M. Dolores Collado & Ignacio Ortuño Ortín, 2006. "Vertical Transmission Of Consumption Behavior And The Distribution Of Surnames," Working Papers. Serie AD 2006-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
    5. Bethencourt Carlos & Kunze Lars, 2019. "Like Father, Like Son: Inheriting and Bequeathing," German Economic Review, De Gruyter, vol. 20(2), pages 194-216, May.
    6. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    7. Effrosyni Adamopoulou & Elisabetta Olivieri & Eleftheria Triviza, 2023. "Eating Habits, Food Consumption, and Health: The Role of Early Life Experiences," CRC TR 224 Discussion Paper Series crctr224_2021_276v2, University of Bonn and University of Mannheim, Germany.
    8. Eshaghnia, Sadegh S. M. & Heckman, James J. & Landersø, Rasmus & Qureshi, Rafeh, 2022. "Intergenerational Transmission of Family Influence," IZA Discussion Papers 15504, Institute of Labor Economics (IZA).
    9. Andra C. Ghent & Marianna Kudlyak, 2016. "Intergenerational Linkages in Household Credit," Working Paper Series 2016-31, Federal Reserve Bank of San Francisco.
    10. Collado, M. Dolores & Ortuño Ortin, Ignacio & Romeu, Andrés, 2008. "Vertical Transmission of Consumption Behavior and the Distribution of Surnames," UMUFAE Economics Working Papers 2651, DIGITUM. Universidad de Murcia.
    11. Jürgen Maurer & André Meier, 2008. "Smooth it Like the ‘Joneses’? Estimating Peer‐Group Effects in Intertemporal Consumption Choice," Economic Journal, Royal Economic Society, vol. 118(527), pages 454-476, March.
    12. Damien Bricard & Florence Jusot, 2012. "Intergenerational transmission of health care habits in France," Post-Print hal-01593803, HAL.
    13. Yanjun Ren & Bente Castro Campos & Jens-Peter Loy, 2020. "Drink and smoke; drink or smoke? The interdependence between alcohol and cigarette consumption for men in China," Empirical Economics, Springer, vol. 58(3), pages 921-955, March.
    14. Caballé, Jordi & Moro-Egido, Ana I., 2021. "Do aspirations reduce differences in wealth accumulation?," Economic Modelling, Elsevier, vol. 102(C).
    15. Ren, Yanjun & Zhang, Yanjie & Castro Campos, Bente & Loy, Jens-Peter, 2020. "Unhealthy consumption behaviors and their intergenerational persistence: The role of education," China Economic Review, Elsevier, vol. 62(C).
    16. Fan, Yi, 2020. "Does adversity affect long-term financial behaviour? Evidence from China’s rustication programme," Journal of Urban Economics, Elsevier, vol. 115(C).
    17. Hamish Low & Aruni Mitra & Giovanni Gallipoli, 2017. "Consumption and Income Persistence across Generations," 2017 Meeting Papers 1215, Society for Economic Dynamics.
    18. Guo, Sheng, 2010. "The superior measure of PSID consumption: An update," Economics Letters, Elsevier, vol. 108(3), pages 253-256, September.
    19. Richard Blundell & Luigi Pistaferri & Ian Preston, 2004. "Imputing consumption in the PSID using food demand estimates from the CEX," IFS Working Papers W04/27, Institute for Fiscal Studies.
    20. Bhashkar Mazumder, 2018. "Intergenerational Mobility in the United States: What We Have Learned from the PSID," The ANNALS of the American Academy of Political and Social Science, , vol. 680(1), pages 213-234, November.
    21. Liam C. Malloy, 2015. "Loss aversion, education, and intergenerational mobility," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 318-337, June.
    22. Collado, M. Dolores & Ortuño-Ortín, Ignacio & Romeu, Andrés, 2012. "Intergenerational linkages in consumption patterns and the geographical distribution of surnames," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 341-350.
    23. Martin Binder, 2020. "(Home-)Schools of Democracy? On the Intergenerational Transmission of Civic Engagement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 911-945, June.
    24. Buchinsky, Moshe & Li, Fanghua & Liao, Zhipeng, 2022. "Estimation and inference of semiparametric models using data from several sources," Journal of Econometrics, Elsevier, vol. 226(1), pages 80-103.
    25. Elisabetta Magnani & Garima Verma & Anu Rammohan, 2012. "Intra-household Competition for Care: The Role of Bequest-regulating Social Norms," Working Papers 201206, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    26. Raja R Timilsina & Koji Kotani & Yoshinori Nakagawa & Tatsuyoshi Saijo, 2019. "Intragenerational deliberation and intergenerational sustainability dilemma," Working Papers SDES-2019-14, Kochi University of Technology, School of Economics and Management, revised Dec 2019.
    27. Dalton, Michael & LaFave, Daniel, 2017. "Mitigating the consequences of a health condition: The role of intra- and interhousehold assistance," Journal of Health Economics, Elsevier, vol. 53(C), pages 38-52.
    28. Cynamon Barry Z. & Fazzari Steven M., 2008. "Household Debt in the Consumer Age: Source of Growth--Risk of Collapse," Capitalism and Society, De Gruyter, vol. 3(2), pages 1-32, October.
    29. Jay Zagorsky, 2013. "Do People Save or Spend Their Inheritances? Understanding What Happens to Inherited Wealth," Journal of Family and Economic Issues, Springer, vol. 34(1), pages 64-76, March.
    30. Gabriella Berloffa & Eleonora Matteazzi & Paola Villa, 2016. "Family background and youth labour market outcomes across Europe," Working Papers 393, ECINEQ, Society for the Study of Economic Inequality.
    31. Yike Wang & Jingzhen Liu & Tak Kuen Siu, 2024. "Investment–consumption–insurance optimisation problem with multiple habit formation and non-exponential discounting," Finance and Stochastics, Springer, vol. 28(1), pages 161-214, January.
    32. Jaime Alonso‐Carrera & Stéphane Bouché, 2024. "Intergenerational Transmission of Preferences and the Operativeness of Bequest Motive," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 899-932, June.
    33. Kerwin Kofi Charles & Erik Hurst, 2002. "The Correlation of Wealth Across Generations," NBER Working Papers 9314, National Bureau of Economic Research, Inc.
    34. Jordi Caballé, 2016. "Intergenerational mobility: measurement and the role of borrowing constraints and inherited tastes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(4), pages 393-420, November.
    35. Anna Laura Mancini & Chiara Monfardini & Silvia Pasqua, 2017. "Is a good example the best sermon? Children’s imitation of parental reading," Review of Economics of the Household, Springer, vol. 15(3), pages 965-993, September.
    36. Anderberg, Dan, 2007. "Self-enforcing exchange among generations: Implications for consumption and mobility," European Economic Review, Elsevier, vol. 51(7), pages 1813-1827, October.
    37. Daniel Terry & Kaye Ervin & Erin Soutter & Renata Spiller & Nicole Dalle Nogare & Andrew John Hamilton, 2016. "Do Not “Let Them Eat Cake”: Correlation of Food-Consumption Patterns among Rural Primary School Children from Welfare and Non-Welfare Households," IJERPH, MDPI, vol. 14(1), pages 1-10, December.
    38. Robert Schoeni & Emily Wiemers, 2015. "The implications of selective attrition for estimates of intergenerational elasticity of family income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 351-372, September.
    39. Benjamin Volland, 2013. "On the intergenerational transmission of preferences," Journal of Bioeconomics, Springer, vol. 15(3), pages 217-249, October.
    40. Trinh Le & Grant Scobie & John Gibson, 2009. "Are Kiwis saving enough for retirement? Evidence from SOFIE," New Zealand Economic Papers, Taylor & Francis Journals, vol. 43(1), pages 3-19.
    41. Sprenger, Julia, 2016. "Financial literacy: A barrier to seek financial advice but not a shield against following it," Ruhr Economic Papers 634, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    42. Wilhelm, Mark Ottoni & Brown, Eleanor & Rooney, Patrick M. & Steinberg, Richard, 2008. "The intergenerational transmission of generosity," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2146-2156, October.
    43. Agarwal, Sumit & Sing, Tien Foo & Zhang, Xiaoyu, 2024. "Intergenerational bankruptcy risks: Learning from parents’ mistakes," Journal of Financial Intermediation, Elsevier, vol. 59(C).
    44. Ana I. Moro-Egido & Jordi Caballé, 2015. "On the Accumulation of Wealth under Aspirations," Working Papers 826, Barcelona School of Economics.
    45. Jürgen Maurer & André Meier, 2008. "Smooth it Like the “Joneses?†Estimating Peer-Group Effects in Intertemporal Consumption Choice," MEA discussion paper series 08167, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    46. Tomáš Želinský, 2021. "Intertemporal Choices of Children and Adults from Poor Roma Communities: A Case Study from Slovakia," Eastern European Economics, Taylor & Francis Journals, vol. 59(4), pages 378-405, July.
    47. Benjamin Volland, 2012. "The vertical transmission of time use choices," Papers on Economics and Evolution 2012-05, Philipps University Marburg, Department of Geography.

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    Cited by:

    1. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Duc Khuong Nguyen & Amine Lahiani, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Working Papers hal-00798036, HAL.
    2. Daiki Maki & Yasushi Ota, 2019. "Robust tests for ARCH in the presence of the misspecified conditional mean: A comparison of nonparametric approches," Papers 1907.12752, arXiv.org, revised Sep 2019.
    3. Robin L. Lumsdaine & Mr. Eswar S Prasad, 1999. "Identifying the Common Component in International Economic Fluctuations: A New Approach," IMF Working Papers 1999/154, International Monetary Fund.
    4. E. Ruiz & M.A. Carnero & D. Pereira, 2004. "Effects of Level Outliers on the Identification and Estimation of GARCH Models," Econometric Society 2004 Australasian Meetings 21, Econometric Society.
    5. Russell, Bill, 2013. "Arch and Structural Breaks in United States Inflation," SIRE Discussion Papers 2013-115, Scottish Institute for Research in Economics (SIRE).
    6. Funke, Michael & Shu, Chang & Cheng, Xiaoqiang & Eraslan, Sercan, 2015. "Assessing the CNH–CNY pricing differential: Role of fundamentals, contagion and policy," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 245-262.
    7. Deng, Ying & Cao, Zhitao & Yang, Na, 2024. "Understanding the nexus between fintech, natural resources, green investment, and environmental sustainability in China: A DYNARDL approach," Resources Policy, Elsevier, vol. 91(C).
    8. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    9. Feng, Jie & Gao, Junhong, 2023. "Natural resource curse hypothesis and governance: Understanding the role of rule of law and political risk in the context of China," Resources Policy, Elsevier, vol. 85(PB).
    10. Andreou, Elena & Werker, Bas J.M., 2015. "Residual-based rank specification tests for AR–GARCH type models," Journal of Econometrics, Elsevier, vol. 185(2), pages 305-331.
    11. Ludwig, Alexander, 2014. "A unified approach to investigate pure and wake-up-call contagion: Evidence from the Eurozone's first financial crisis," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 125-146.
    12. Godil, Danish Iqbal & Sarwat, Salman & Khan, Muhammad Kamran & Ashraf, Muhammad Sajjad & Sharif, Arshian & Ozturk, Ilhan, 2022. "How the price dynamics of energy resources and precious metals interact with conventional and Islamic Stocks: Fresh insight from dynamic ARDL approach," Resources Policy, Elsevier, vol. 75(C).
    13. Daiki Maki & Yasushi Ota, 2021. "Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1167-1182, April.
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    10. Zongwu Cai & Jiazi Chen & Linlin Niu, 2021. "A Semiparametric Model for Bond Pricing with Life Cycle Fundamental," Working Papers 2021-01-06, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
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  54. Serena Ng & Timothy J. Vogelsang, 1997. "Analysis of Vector Autoregressions in the Presence of Shifts in Mean," Boston College Working Papers in Economics 379, Boston College Department of Economics.

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    1. Robin L. Lumsdaine & Serena Ng, 1998. "Testing for ARCH in the Presence of a Possibly Misspecified Conditional Mean," Boston College Working Papers in Economics 370, Boston College Department of Economics.
    2. Marcos Sanso-Navarro, 2011. "Broken trend stationarity of hours worked," Post-Print hal-00712742, HAL.
    3. PKG HARISCHANDRA & George CHOULIARAKIS, 2008. "Do Exchange Rate Regimes Matter for Inflation Persistence? Theory and Evidence from the History of UK and US Inflation," EcoMod2008 23800100, EcoMod.
    4. Thierno Balde & Gabriel Rodriguez, 2005. "Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 841-844.
    5. Paraskevi K. Salamaliki, 2017. "Births, Marriages, and the Economic Environment in Greece: Empirical Evidence Over Time," Journal of Family and Economic Issues, Springer, vol. 38(2), pages 218-237, June.
    6. Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
    7. Saban Nazlioglu & Rangan Gupta & Elie Bouri, 2019. "Movements in International Bond Markets: The Role of Oil Prices," Working Papers 201935, University of Pretoria, Department of Economics.
    8. Saban Nazlioglu & Rangan Gupta & Alper Gormus & Ugur Soytas, 2019. "Price and Volatility Linkages between International REITs and Oil Markets," Working Papers 201954, University of Pretoria, Department of Economics.
    9. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
    10. Alfredo M. Pereira & Martin B. Schmidt, 2007. "Structural Breaks in Public Infrastructure Investment in the U.S," Working Papers 55, Department of Economics, College of William and Mary.
    11. William W. Chow, 2004. "An outlier robust hierarchical Bayes model for forecasting: the case of Hong Kong," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 99-114.
    12. Mohsen Fardmanesh & Seymour Douglas, 2008. "Foreign Exchange Controls and the Parallel Market Premium," Review of Development Economics, Wiley Blackwell, vol. 12(1), pages 72-89, February.
    13. Ioanna Konstantakopoulou, 2017. "The aggregate exports-GDP relation under the prism of infrequent trend breaks and multi-horizon causality," International Economics and Economic Policy, Springer, vol. 14(4), pages 661-689, October.
    14. Salamaliki, Paraskevi K. & Venetis, Ioannis A., 2013. "Energy consumption and real GDP in G-7: Multi-horizon causality testing in the presence of capital stock," Energy Economics, Elsevier, vol. 39(C), pages 108-121.
    15. Marlene Wind & Dorte Sindbjerg Martinsen & Gabriel Pons Rotger, 2009. "The Uneven Legal Push for Europe," European Union Politics, , vol. 10(1), pages 63-88, March.
    16. Yang Fan & Teng Jianzhou, 2011. "Studying on the monetary transmission mechanism in China in the presence of structural changes," China Finance Review International, Emerald Group Publishing Limited, vol. 1(4), pages 334-357, September.

  55. Emanuela Cardia & Serena Ng, 1997. "How Important are Intergenerational Transfers of Time? A Macroeconomic Analysis," Boston College Working Papers in Economics 395, Boston College Department of Economics.

    Cited by:

    1. Fang (Annie) Yang, 2006. "Consumption Over Life Cycle: How Different is Housing?," Discussion Papers 06-01, University at Albany, SUNY, Department of Economics.
    2. Jesus Fernández-Villaverde & Dirk Krueger, 2007. "Consumption over the Life Cycle: Facts from Consumer Expenditure Survey Data," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 552-565, August.
    3. Fang Yang, 2006. "Consumption along the life cycle: how different is housing?," Working Papers 635, Federal Reserve Bank of Minneapolis.
    4. Jesús Fernández-Villaverde & Dirk Krueger, 2003. "Consumption over the Life Cycle: Some Facts from Consumer Expenditure Survey Data," Levine's Working Paper Archive 506439000000000304, David K. Levine.
    5. Yang, Fang, 2013. "Social security reform with impure intergenerational altruism," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 52-67.
    6. Fang Yang, 2006. "Accounting for the Heterogeneity in Retirement Wealth," 2006 Meeting Papers 94, Society for Economic Dynamics.

  56. Alexander Michaelides & Serena Ng, 1997. "Estimating the Rational Expectations Model of Speculative Storage: A Monte Carlo Comparison of Three Simulation Estimators," Boston College Working Papers in Economics 373, Boston College Department of Economics.

    Cited by:

    1. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    2. Michael Haliassos, 2002. "Stockholding: Recent Lessons from Theory and Computations," University of Cyprus Working Papers in Economics 0206, University of Cyprus Department of Economics.
    3. Taştan, Hüseyin, 2011. "Simulation based estimation of threshold moving average models with contemporaneous shock asymmetry," MPRA Paper 34302, University Library of Munich, Germany.
    4. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    5. Hirbod Assa & Amal Dabbous & Nikolay Gospodinov, 2013. "A staggered pricing approach to modeling speculative storage: implications for commodity price dynamics," FRB Atlanta Working Paper 2013-08, Federal Reserve Bank of Atlanta.
    6. Peter Fuleky & Eric Zivot, 2010. "Indirect Inference Based on the Score," Working Papers UWEC-2010-08, University of Washington, Department of Economics.
    7. Stephen Terry & Anastasia Zakolyukina & Toni Whited, 2018. "Information Distortion, R&D, and Growth," 2018 Meeting Papers 217, Society for Economic Dynamics.
    8. Stephen J. Terry & Toni M. Whited & Anastasia A. Zakolyukina, 2022. "Information versus Investment," NBER Working Papers 29636, National Bureau of Economic Research, Inc.
    9. Nicolas Legrand, 2023. "“The empirical relevance of the competitive storage model” by Cafiero et al. (2011): Replication, robustness, and extension," Post-Print hal-03809789, HAL.
    10. Guerra Vallejos, Ernesto & Bobenrieth Hochfarber, Eugenio & Bobenrieth Hochfarber, Juan & Wright, Brian D., 2021. "Solving dynamic stochastic models with multiple occasionally binding constraints," Economic Modelling, Elsevier, vol. 105(C).
    11. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    12. Fabrice Collard & Patrick Fève & François Langot & Corinne Perraudin, 2002. "A structural model of US aggregate job flows," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 197-223.
    13. Antti Simola & Adriaan Perrels & Juha Honkatukia, 2011. "Extreme weather events in Finland – a dynamic CGE-analysis of economic effects," EcoMod2011 2983, EcoMod.
    14. Kelley, Clare & Lanot, Gauthier, 2002. "Consumption Patterns Over Pay Periods," Economic Research Papers 269469, University of Warwick - Department of Economics.
    15. Guiying (Laura) Wu, 2013. "Investment Frictions and the Aggregate Output Loss in China," Economic Growth Centre Working Paper Series 1307, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    16. Panos Pashardes & Soteroula Hajispyrou, 2002. "Consumer Demand and Welfare under Increasing Block Pricing," University of Cyprus Working Papers in Economics 0207, University of Cyprus Department of Economics.
    17. Marco Cozzi, 2013. "Equilibrium Heterogeneous-agent Models As Measurement Tools: Some Monte Carlo Evidence," Working Paper 1277, Economics Department, Queen's University.
    18. Paula Lopes & Alex Michaelides & Joachim Inkmann, 2009. "How deep is the annuity market participation puzzle?," 2009 Meeting Papers 239, Society for Economic Dynamics.
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    1. Movshuk, Oleksandr, 2003. "Does the choice of detrending method matter in demand analysis?," Japan and the World Economy, Elsevier, vol. 15(3), pages 341-359, August.
    2. Luca Pieroni, 2007. "How Strong is the Relationship between Defence Expenditure and Private Consumption? Evidence from the United States," Working Papers 0705, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

  58. Angus Deaton & Serena Ng, 1997. "Parametric and non-parametric approaches to price and tax reform," Boston College Working Papers in Economics 376, Boston College Department of Economics.

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    1. Ben Hammouda, Hakim & Oulmane, Nassim & Sadni-Jallab, Mustapha, 2006. "The Impact of the Multifiber Agreement Phase out on trade in North African Countries: a Prospective Analysis ," Conference papers 331520, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Maura P. Doyle, 1997. "The effects of interest rates and taxes on new car prices," Finance and Economics Discussion Series 1997-38, Board of Governors of the Federal Reserve System (U.S.).
    3. Nakar Djindil Syntiche & Tabo Symphorien Ndang & Toinar Mogota Anatole, 2007. "A qui profitent les dépenses sociales au Tchad? Une analyse d'incidence à partir des données d'enquête," Working Papers PMMA 2007-11, PEP-PMMA.

  59. Serena Ng & Francisco Ruge-Murcia, 1997. "Explaining the Persistence of Commodity Prices," Boston College Working Papers in Economics 374, Boston College Department of Economics.

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    1. Kazuo Nishimura & John Stachurski, 2007. "Equilibrium Storage With Multiple Commodities," CAMA Working Papers 2007-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Hirbod Assa & Amal Dabbous & Nikolay Gospodinov, 2013. "A staggered pricing approach to modeling speculative storage: implications for commodity price dynamics," FRB Atlanta Working Paper 2013-08, Federal Reserve Bank of Atlanta.
    3. Sklavos, Konstantinos & Dam, Lammertjan & Scholtens, Bert, 2013. "The liquidity of energy stocks," Energy Economics, Elsevier, vol. 38(C), pages 168-175.
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    5. Chavas, Jean-Paul & Li, Jian, 2017. "The Effects of Private Stocks versus Public Stocks on Food Price Volatility," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259185, Agricultural and Applied Economics Association.
    6. Christophe Gouel, 2020. "The Value of Public Information in Storable Commodity Markets: Application to the Soybean Market," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 846-865, May.
    7. Eyal Dvir & Kenneth S. Rogoff, 2009. "Three Epochs of Oil," NBER Working Papers 14927, National Bureau of Economic Research, Inc.
    8. Nader Karimi & Erfan Salavati & Hirbod Assa & Hojatollah Adibi, 2023. "Sensitivity Analysis of Optimal Commodity Decision Making with Neural Networks: A Case for COVID-19," Mathematics, MDPI, vol. 11(5), pages 1-15, February.
    9. Connor Jeff & Rossiter Rosemary, 2005. "Wavelet Transforms and Commodity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-22, March.
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    11. Loening, Josef L. & Durevall, Dick & Birru, Yohannes A., 2009. "Inflation dynamics and food prices in an agricultural economy : the case of Ethiopia," Policy Research Working Paper Series 4969, The World Bank.
    12. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    13. Pieroni, Luca & Ricciarelli, Matteo, 2008. "Modelling dynamic storage function in commodity markets: Theory and evidence," Economic Modelling, Elsevier, vol. 25(5), pages 1080-1092, September.
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    16. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.
    17. Nader Karimi & Hirbod Assa & Erfan Salavati & Hojatollah Adibi, 2023. "Calibration of Storage Model by Multi-Stage Statistical and Machine Learning Methods," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1437-1455, December.
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    21. Nzuma, Jonathan M. & Karugia, T.J. & Wanjiku, J. & Wambua, J. & Kirui, Oliver K., 2013. "Staple Food Price Volatility and Its Policy Implications in Kenya," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161525, African Association of Agricultural Economists (AAAE).
    22. Boschi, Melisso & Pieroni, Luca, 2009. "Aluminium market and the macroeconomy," Journal of Policy Modeling, Elsevier, vol. 31(2), pages 189-207.
    23. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.
    24. Kindie Getnet & Wim Verbeke & Jacques Viaene, 2005. "Modeling spatial price transmission in the grain markets of Ethiopia with an application of ARDL approach to white teff," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 491-502, November.
    25. Ashima Goyal & Shruti Tripathi, 2012. "Regulations and price discovery: oil spot and futures markets," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-016, Indira Gandhi Institute of Development Research, Mumbai, India.

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    1. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
    2. GHYSELS, Eric & PATILEA, Valentin & RENAULT, Eric & TORRES, Olivier, 1997. "Nonparametric methods and option pricing," LIDAM Discussion Papers CORE 1997075, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.

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    8. Chen, Jie, 2006. "Housing Wealth and Aggregate Consumption in Sweden," Working Paper Series 2006:16, Uppsala University, Department of Economics.
    9. Gustavo Fruet Dias & Marcelo Fernandes & Cristina M. Scherrer, 2016. "Component shares in continuous time," CREATES Research Papers 2016-25, Department of Economics and Business Economics, Aarhus University.
    10. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
    11. Weber, Enzo, 2006. "Common and uncommon sources of growth in Asia Pacific," SFB 649 Discussion Papers 2006-064, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    12. Martin Lettau & Sydney C. Ludvigson, 2004. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," American Economic Review, American Economic Association, vol. 94(1), pages 276-299, March.
    13. Giancarlo Corsetti & Panagiotis T. Konstantinou, 2012. "What Drives US Foreign Borrowing? Evidence on the External Adjustment to Transitory and Permanent Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1062-1092, April.
    14. Holtemöller, Oliver, 2002. "Further VAR evidence for the effectiveness of a credit channel in Germany," SFB 373 Discussion Papers 2002,66, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    19. Haroon Mumtaz & Konstantinos Theodoridis, 2017. "The Federal Reserve’s implicit inflation target and Macroeconomic dynamics. A SVAR analysis," Working Papers 820, Queen Mary University of London, School of Economics and Finance.
    20. Chang, Shu-Lien & Lee, Yun-Huan, 2019. "Returns spillovers between tourism ETFs," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
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    22. Gang-Jin Wang & Hui-Bin Si & Yang-Yang Chen & Chi Xie & Julien Chevallier, 2021. "Time domain and frequency domain Granger causality networks: Application to China’s financial institutions," Post-Print halshs-04250263, HAL.
    23. Alain W. HECQ, 2005. "Common Trends and Common Cycles in Latin America: A 2-step vs an Iterative Approach," Computing in Economics and Finance 2005 258, Society for Computational Economics.
    24. Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
    25. Silvério, Renan & Szklo, Alexandre, 2012. "The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market," Energy Economics, Elsevier, vol. 34(6), pages 1799-1808.
    26. Helmut Lütkepohl, 2006. "Structural Vector Autoregressive Analysis for Cointegrated Variables," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 6, pages 73-86, Springer.
    27. Diego Winkelried & José Enrique Gutierrez, 2015. "Regional Inflation Dynamics and Inflation Targeting. The Case of Peru," Journal of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 199-224, November.
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    29. 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.
    30. Laih, Yih-Wenn & Lai, Hung-Neng & Li, Chun-An, 2015. "Analyst valuation and corporate value discovery," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 235-248.
    31. Emilio Fernandez-Corugedo & Simon Price & Andrew Blake, 2003. "The dynamics of consumers' expenditure: the UK consumption ECM redux," Bank of England working papers 204, Bank of England.
    32. Centoni, Marco & Cubadda, Gianluca, 2003. "Measuring the business cycle effects of permanent and transitory shocks in cointegrated time series," Economics Letters, Elsevier, vol. 80(1), pages 45-51, July.
    33. Francois De Paul Silatchom, 2017. "VECM and Variance Decomposition: An Application to the Consumption-Wealth Ratio," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(6), pages 188-199, June.
    34. Hyeon-seung Huh & David Kim, 2013. "Do SVAR Models Justify Discarding the Technology Shock-Driven Real Business Cycle Hypothesis?," Working papers 2013rwp-59, Yonsei University, Yonsei Economics Research Institute.
    35. Javier Garcia Cicco & Patricio Goldstein & Federico Sturzenegger, 2023. "Permanent and Transitory Monetary Shocks around the World," Working Papers 275, Red Nacional de Investigadores en Economía (RedNIE).
    36. Diego Winkelried Quezada, 2005. "Tendencias comunes y análisis de la política monetaria en el Perú," Monetaria, CEMLA, vol. 0(3), pages 279-317, julio-sep.
    37. Braga, Joao Paulo & Chen, Pu & Semmler, Willi, 2025. "Central banks, climate risks, and energy transition—a dynamic macro model and econometric evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
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    39. 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.).
    40. Centoni, Marco & Cubadda, Gianluca & Hecq, Alain, 2007. "Common shocks, common dynamics, and the international business cycle," Economic Modelling, Elsevier, vol. 24(1), pages 149-166, January.
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    42. Antonio Ribba, 2011. "On some neglected implications of the Fisher effect," Empirical Economics, Springer, vol. 40(2), pages 451-470, April.
    43. Martin Bruns & Helmut Lutkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," University of East Anglia School of Economics Working Paper Series 2024-06, School of Economics, University of East Anglia, Norwich, UK..
    44. Sima Siami‐Namini, 2021. "U.S. Monetary Policy and Commodity Prices: A SVECM Approach," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 288-312, December.
    45. Xie, Zixiong & Chen, Shyh-Wei, 2019. "Exchange rates and fundamentals: A bootstrap panel data analysis," Economic Modelling, Elsevier, vol. 78(C), pages 209-224.
    46. Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
    47. Patterson, K. D., 2003. "Exploiting information in vintages of time-series data," International Journal of Forecasting, Elsevier, vol. 19(2), pages 177-197.
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    49. Cristina Mabel Scherrer & Marcelo Fernandes, 2016. "Disentangling the Effect of Private and Public Cash Flows on Firm Value," Working Papers 800, Queen Mary University of London, School of Economics and Finance.
    50. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    51. Piergiorgio Alessandri, 2004. "Aggregate Consumption and the Stock Market: Should We Worry about Non-linear Wealth Effects?," Birkbeck Working Papers in Economics and Finance 0410, Birkbeck, Department of Economics, Mathematics & Statistics.
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    1. Hadri, Kaddour & Kurozumi, Eiji, 2012. "A simple panel stationarity test in the presence of serial correlation and a common factor," Economics Letters, Elsevier, vol. 115(1), pages 31-34.
    2. Thilo Reinschlussel & Martin C. Arnold, 2024. "Information-Enriched Selection of Stationary and Non-Stationary Autoregressions using the Adaptive Lasso," Papers 2402.16580, arXiv.org, revised Jul 2024.
    3. Peter C. B. Phillips & Zhijie Xiao, 1998. "A Primer on Unit Root Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 423-470, December.
    4. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.
    5. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Economics Working Paper Archive 467, The Johns Hopkins University,Department of Economics.
    6. Herwartz, Helmut & Siedenburg, Florian, 2009. "A new approach to unit root testing," Economics Working Papers 2009-06, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Malik, Muhammad Irfan & Rehman, Atiq-ur-, 2014. "Choice of Spectral Density Estimator in Ng-Perron Test: Comparative Analysis," MPRA Paper 59973, University Library of Munich, Germany.
    8. Pierre Perron & Gabriel Rodríguez, "undated". "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series wp2015-017, Boston University - Department of Economics, revised 19 Oct 2015.
    9. Bimal Sahoo & D. Nauriyal, 2014. "Determinants of software exports from India," International Economics and Economic Policy, Springer, vol. 11(4), pages 455-479, December.
    10. Arghyrou, Michael G. & Gadea, Maria Dolores, 2012. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 16-34.
    11. VAN BINH, Tu & DUMONT, Michel, 2008. "A fishing expedition in the Mekong Delta: Market volatility and price substitutes for Vietnamese fresh water fish," Working Papers 2008002, University of Antwerp, Faculty of Business and Economics.
    12. PERRON, Pierre & RODRIGUEZ, Gabriel, 1998. "GLS Detrending, Efficient Unit Root Tests and Structural Change," Cahiers de recherche 9809, Universite de Montreal, Departement de sciences economiques.
    13. Gadea, Maria Dolores & Sabate, Marcela & Serrano, Jose Maria, 2004. "Structural breaks and their trace in the memory: Inflation rate series in the long-run," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 117-134, April.
    14. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    15. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    16. Ormos, Mihály & Erdős, Péter, 2011. "Borok mint alternatív befektetési lehetőségek [Wines as an alternative investment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 158-172.
    17. Gabriel Rodriguez & Pierre Perron, 2013. "Single-equation tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series 2013-016, Boston University - Department of Economics.
    18. Pierre Perron & Gabriel Rodriguez, 2012. "Residual test for cointegration with GLS detrended data," Documentos de Trabajo / Working Papers 2012-327, Departamento de Economía - Pontificia Universidad Católica del Perú.
    19. Niels Haldrup & Peter Lildholdt, "undated". "Local Power Functions of Tests for Double Unit Roots," Economics Working Papers 2000-2, Department of Economics and Business Economics, Aarhus University.
    20. Sabate, Marcela & Gadea, Maria Dolores & Escario, Regina, 2006. "Does fiscal policy influence monetary policy? The case of Spain, 1874-1935," Explorations in Economic History, Elsevier, vol. 43(2), pages 309-331, April.
    21. Gabriel, Vasco J., 2003. "Cointegration and the joint confirmation hypothesis," Economics Letters, Elsevier, vol. 78(1), pages 17-25, January.
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    23. Umit BULUT, 2015. "The Interest Rate Corridor as a Macroprudential Tool to Mitigate Rapid Growth in Credits: Evidence from Turkey," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(605), W), pages 133-144, Winter.
    24. Dionisio Ramirez & Gabriel Rodríguez, 2013. "Do Labor Reforms in Spain have an Effect on the Equilibrium Unemployment Rate?," Documentos de Trabajo / Working Papers 2013-367, Departamento de Economía - Pontificia Universidad Católica del Perú.
    25. Paulo Manuel Marques Rodrigues, 2013. "On the Behaviour of Phillips-Perron Tests in the Presence of Persistent Cycles," CEFAGE-UE Working Papers 2013_11, University of Evora, CEFAGE-UE (Portugal).
    26. Herrerias, M.J. & Liu, G., 2013. "Electricity intensity across Chinese provinces: New evidence on convergence and threshold effects," Energy Economics, Elsevier, vol. 36(C), pages 268-276.
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    28. Campêlo, Ana Katarina & Cribari-Neto, Francisco, 2003. "Inflation Inertia and Inliers: The Case of Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(4), October.
    29. Sánchez, Ismael, 2000. "Spectral density estimators at frequency zero for nonstationarity tests in arma models," DES - Working Papers. Statistics and Econometrics. WS 10132, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Rodriguez, Gabriel & Sloboda, Michael J., 2005. "Modeling nonlinearities and asymmetries in quarterly revenues of the US telecommunications industry," Structural Change and Economic Dynamics, Elsevier, vol. 16(1), pages 137-158, March.
    31. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    32. Helmut Herwartz & Florian Siedenburg, 2010. "A New Approach to Unit Root Testing," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 365-384, December.
    33. Rafik Nazarian & Ashkan Amiri, 2014. "Asymmetry of the Oil Price Pass Through to Inflation in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 457-464.
    34. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Sualp, M. Nedim, 2016. "How did the US economy react to shale gas production revolution? An advanced time series approach," Energy, Elsevier, vol. 116(P1), pages 963-977.
    35. Deng, Ai, 2010. "Local power of consistent tests for serial correlation against the nearly integrated, nearly white noise process," Economics Letters, Elsevier, vol. 107(1), pages 22-25, April.
    36. Sabate, Marcela & Gadea, Maria Dolores & Serrano, Jose Maria, 2003. "PPP and structural breaks. The peseta-sterling rate, 50 years of a floating regime," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 613-627, October.
    37. Ricardo Quineche Uribe & Gabriel Rodríguez, 2015. "Data-Dependent Methods for the Lag Length Selection in Unit Root Tests with Structural Change," Documentos de Trabajo / Working Papers 2015-404, Departamento de Economía - Pontificia Universidad Católica del Perú.
    38. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2007. "Testing for unit roots in time series models with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 140(2), pages 919-947, October.
    39. Ismael Sánchez, 2004. "Implementing unit roost tests in ARMA models of unknow order," Statistical Papers, Springer, vol. 45(2), pages 249-266, April.
    40. Ricardo Quineche & Gabriel Rodríguez, 2017. "Selecting the Lag Length for the M GLS Unit Root Tests with Structural Change: A Warning Note for Practitioners Based on Simulations," Econometrics, MDPI, vol. 5(2), pages 1-10, April.
    41. Chu-An Liu & Biing-Shen Kuo & Wen-Jen Tsay, 2017. "Autoregressive Spectral Averaging Estimator," IEAS Working Paper : academic research 17-A013, Institute of Economics, Academia Sinica, Taipei, Taiwan.

  63. Ng, S. & Pinkse, J., 1995. "Nonparametric-two-Step Estimation of Unknown Regression Functions when the Regressors and the Regression Error Are not Independent," Cahiers de recherche 9551, Universite de Montreal, Departement de sciences economiques.

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    1. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    2. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2013. "On the Determinants of Distribution Dynamics," Discussion Papers 2013/165, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Matzkin, Rosa L., 2016. "On independence conditions in nonseparable models: Observable and unobservable instruments," Journal of Econometrics, Elsevier, vol. 191(2), pages 302-311.
    4. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.

  64. Ng, S. & Perron, P., 1995. "The Exact Error in Estimating the Special Density at the Origin," Cahiers de recherche 9535, Universite de Montreal, Departement de sciences economiques.

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    1. Julien Fouquau & Philippe K. Spieser, 2015. "Statistical evidence about LIBOR manipulation: A "Sherlock Holmes" investigation," Post-Print hal-01160060, HAL.
    2. Youngsoo Bae & Robert M. de Jong, 2007. "Money demand function estimation by nonlinear cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 767-793.
    3. Paulo Parente & Richard J. Smith, 2024. "Implied probability kernel block bootstrap for time series moment condition models," CeMMAP working papers 08/24, Institute for Fiscal Studies.
    4. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed‐b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, January.
    5. Lijuan Huo & Jin Seo Cho, 2021. "Testing for the sandwich-form covariance matrix of the quasi-maximum likelihood estimator," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 293-317, June.
    6. Lijuan Huo & Jin Seo Cho, 2019. "Testing for the Sandwich-Form Covariance Matrix Applied to Quasi-Maximum Likelihood Estimation Using Economic and Energy Price Growth Rates," Working papers 2019rwp-152, Yonsei University, Yonsei Economics Research Institute.
    7. Jirak, Moritz, 2014. "Simultaneous confidence bands for sequential autoregressive fitting," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 130-149.
    8. Politis, D N, 2009. "Higher-Order Accurate, Positive Semi-definite Estimation of Large-Sample Covariance and Spectral Density Matrices," University of California at San Diego, Economics Working Paper Series qt66w826hz, Department of Economics, UC San Diego.
    9. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Sep 2024.
    10. Paulo M.D.C. Parente & Richard J. Smith, 2018. "Generalised Empirical Likelihood Kernel Block Bootstrapping," Working Papers REM 2018/55, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.

  65. René Garcia & Serena Ng & Annamaria Lusardi, 1995. "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation," CIRANO Working Papers 95s-09, CIRANO.

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    1. Stefania Basiglio & Maria Cristina Rossi & Arthur van Soest, 2023. "Subjective Inheritance Expectations and Economic Outcomes," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1088-1113, December.
    2. Giamboni, Luigi & Millemaci, Emanuele & Waldmann, Robert, 2007. "Evaluating how predictable errors in expected income affect consumption," MPRA Paper 12939, University Library of Munich, Germany.
    3. Jarkko Jääskelä, 2007. "More Potent Monetary Policy? Insights from a Threshold Model," RBA Research Discussion Papers rdp2007-07, Reserve Bank of Australia.
    4. Andrei SEMENOV, 2010. "Asset Pricing with Idiosyncratic Consumption Risk and Limited Participation," EcoMod2004 330600126, EcoMod.
    5. Yasuyuki Sawada & Kazumitsu Nawata & Masako Ii & Mark J. Lee, 2011. "Did the Financial Crisis in Japan Affect Household Welfare Seriously?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 297-324, March.
    6. Li, Geng, 2009. "Transaction costs and consumption," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1263-1277, June.
    7. Umar Faruqui & Samah Torchani, 2012. "How Important Are Liquidity Constraints for Canadian Households? Evidence from Micro-Data," Discussion Papers 12-9, Bank of Canada.
    8. Kim, H. Youn, 2017. "The permanent income hypothesis, transitional dynamics, and excess sensitivity of consumption," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 10-25.
    9. Limosani, Michele & Millemaci, Emanuele, 2011. "Evidence on excess sensitivity of consumption to predictable income growth," Research in Economics, Elsevier, vol. 65(2), pages 71-77, June.
    10. Fuwa Nobuhiko & Ito Seiro & Kubo Kensuke & Kurosaki Takashi & Sawada Yasuyuki, 2012. "How Does Credit Access Affect Children's Time Allocation?: Evidence from Rural India," Journal of Globalization and Development, De Gruyter, vol. 3(1), pages 1-28, June.
    11. Gao,Nan & Ma,Yuanyuan & Xu,L. Colin, 2020. "Credit Constraints and Fraud Victimization : Evidence from a Representative Chinese Household Survey," Policy Research Working Paper Series 9460, The World Bank.
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    1. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Martin Lettau & Sydney C. Ludvigson, 2014. "Shocks and Crashes," NBER Macroeconomics Annual, University of Chicago Press, vol. 28(1), pages 293-354.
    3. Serletis, Apostolos & Shahmoradi, Asghar, 2007. "Chaos, self-organized criticality, and SETAR nonlinearity: An analysis of purchasing power parity between Canada and the United States," Chaos, Solitons & Fractals, Elsevier, vol. 33(5), pages 1437-1444.
    4. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    5. Martin Lettau & Sydney C. Ludvigson, 2004. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," American Economic Review, American Economic Association, vol. 94(1), pages 276-299, March.
    6. Serletis, Apostolos & Rangel-Ruiz, Ricardo, 2004. "Testing for common features in North American energy markets," Energy Economics, Elsevier, vol. 26(3), pages 401-414, May.
    7. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    8. Felipa Mello Sampayo, 2006. "The Geographic Distribution of Economic Activities of the USA Multinational Enterprises," DEGIT Conference Papers c011_040, DEGIT, Dynamics, Economic Growth, and International Trade.
    9. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
    10. Joanna TYROWICZ & Piotr W�JCIK, 2009. "Some Remarks On The Effects Of Active Labour Market Policies In Post-Transition," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    11. Lin, Yingqian & Tu, Yundong, 2020. "Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root," Journal of Econometrics, Elsevier, vol. 219(1), pages 52-65.
    12. Jushan Bai & Serena Ng, 2001. "A PANIC Attack on Unit Roots and Cointegration," Boston College Working Papers in Economics 519, Boston College Department of Economics.
    13. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    14. Kellard, Neil & Sarantis, Nicholas, 2008. "Can exchange rate volatility explain persistence in the forward premium?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 714-728, September.
    15. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    16. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," CEMA Working Papers 83, China Economics and Management Academy, Central University of Finance and Economics.
    17. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, June.
    18. Dawood, Taufiq Carnegie & Francois, John Nana, 2018. "Substitution between private and government consumption in African economies," Economic Modelling, Elsevier, vol. 73(C), pages 129-139.
    19. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    20. Angelos Kanas, 2009. "Real exchange rate, stationarity, and economic fundamentals," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 393-409, October.
    21. Westerlund, J., 2006. "Panel cointegration tests of the Fisher effect," Research Memorandum 054, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    22. Rapach, David E. & Weber, Christian E., 2004. "Are real interest rates really nonstationary? New evidence from tests with good size and power," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 409-430, September.
    23. Dixon, R. & Shepherd, D., 2000. "Trends and Cycles in Australian State and Territory Unemployment Rates," Department of Economics - Working Papers Series 730, The University of Melbourne.
    24. Faisal Abbas & Ulrich Hiemenz, 2013. "What determines public health expenditures in Pakistan? Role of income, urbanization and unemployment," Economic Change and Restructuring, Springer, vol. 46(4), pages 341-362, November.
    25. Kejriwal, Mohitosh & Perron, Pierre, 2008. "The limit distribution of the estimates in cointegrated regression models with multiple structural changes," Journal of Econometrics, Elsevier, vol. 146(1), pages 59-73, September.
    26. Helmut Herwartz & Hans-Eggert Reimers, 2006. "Panel non stationary tests of the Fisher hypothesis in a world wide context. An analysis of 114 economies during the period 1960-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    27. BIKAI, J. Landry & OWOUNDI F., Ferdinand, 2016. "Does the choice of an exchange rate regime limits exchange rate misalignments? The example of sub-Saharan African countries," MPRA Paper 89110, University Library of Munich, Germany.
    28. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    29. Yum K. Kwan, 2007. "The Direct Substitution between Government and Private Consumption in East Asia," NBER Chapters, in: Fiscal Policy and Management in East Asia, pages 45-58, National Bureau of Economic Research, Inc.
    30. Coe, Patrick J. & Serletis, Apostolos, 2002. "Bounds tests of the theory of purchasing power parity," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 179-199, January.
    31. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
    32. John Nana Francois & Andrew Keinsley, 2023. "Intratemporal elasticity of substitution between private and public consumption: new evidence and implications," Empirical Economics, Springer, vol. 65(4), pages 1655-1692, October.
    33. Lettau, Martin & Ludvigson, Sydney, 2001. "Understanding Trend and Cycle in Asset Values: Bulls, Bears and the Wealth Effect on Consumption," CEPR Discussion Papers 3104, C.E.P.R. Discussion Papers.
    34. Gonzalo, J. & Ng, S., 1996. "A Systematic Framework for Analyzing the Dynamic Effects of Permanent and Transitory Shocks," Cahiers de recherche 9603, Universite de Montreal, Departement de sciences economiques.
    35. Barrell, Ray & Costantini, Mauro & Meco, Iris, 2015. "Housing wealth, financial wealth, and consumption: New evidence for Italy and the UK," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 316-323.
    36. FIodendji, Komlan, 2011. "Should Canadian monetary policy respond to asset prices? Evidence from a structural model," MPRA Paper 28039, University Library of Munich, Germany, revised 10 Jan 2011.
    37. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    38. Silika Prohl & Friedrich G. Schneider, 2006. "Sustainability of Public Debt and Budget Deficit: Panel cointegration analysis for the European Union Member countries," Economics working papers 2006-10, Department of Economics, Johannes Kepler University Linz, Austria.
    39. Jack Strauss & Mark E. Wohar, 2004. "The Linkage between Prices, Wages, and Labor Productivity: A Panel Study of Manufacturing Industries," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 920-941, April.
    40. Taner Yigit & Neil Arnwine, 2007. "What Fisher Knew About His Relation, We Sometimes Forget," Working Papers 0707, Department of Economics, Bilkent University.
    41. Fiodendji, Komlan, 2011. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," MPRA Paper 27942, University Library of Munich, Germany.
    42. Daniel Komlan Fiodendji, 2012. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," Working Papers 1209E, University of Ottawa, Department of Economics.
    43. Yum K. Kwan, 2006. "The Direct Substitution Between Government and Private Consumption in East Asia," NBER Working Papers 12431, National Bureau of Economic Research, Inc.
    44. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    45. Nasseh, Alireza & Strauss, Jack, 2004. "Stock prices and the dividend discount model: did their relation break down in the 1990s?," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 191-207, May.

  67. Ng, S., 1995. "Looking for Evidence of Speculative Stockholding in Commodity Markets," Cahiers de recherche 9514, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    2. Cesar Revoredo, 2000. "On The Solution Of The Dynamic Rational Expectations Commodity Storage Model In The Presence Of Stockholding By Speculators And Processors," Computing in Economics and Finance 2000 42, Society for Computational Economics.
    3. Kornher, Lukas & Kalkuhl, Matthias, 2013. "Food price volatility in developing countries and its determinants," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156132, German Association of Agricultural Economists (GEWISOLA).
    4. Yu‐Shan Wang & Chung‐Gee Lin & Shih‐Chieh Shih, 2011. "The dynamic relationship between agricultural futures and agriculture index in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 369-382, September.
    5. Chavas, Jean-Paul & Kim, Kwansoo, 2005. "An Econometric Analysis of Price Dynamics in the Presence of a Price Floor: The Case of American Cheese," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(01), pages 1-15, April.
    6. Alexander Michaelides & Serena Ng, 1997. "Estimating the Rational Expectations Model of Speculative Storage: A Monte Carlo Comparison of Three Simulation Estimators," Boston College Working Papers in Economics 373, Boston College Department of Economics.
    7. Sprumont, Y., 1995. "On the Game-Theoretic Structure of Public-Good Economies," Cahiers de recherche 9519, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Nicolas Legrand, 2019. "The Empirical Merit Of Structural Explanations Of Commodity Price Volatility: Review And Perspectives," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 639-664, April.
    9. Ron Alquist & Olivier Coibion, 2014. "Commodity Price Co-Movement and Global Economic Activity," Staff Working Papers 14-32, Bank of Canada.
    10. Evans, Lewis & Guthrie, Graeme, 2007. "Commodity Price Behavior With Storage Frictions," Working Paper Series 19065, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    11. Pesaran, H.M. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cambridge Working Papers in Economics 9513, Faculty of Economics, University of Cambridge.
    12. Myers, Robert J., 2013. "Evaluating the effectiveness of inter-regional trade and storage in Malawi’s private sector maize markets," Food Policy, Elsevier, vol. 41(C), pages 75-84.
    13. Kleppe, Tore Selland & Oglend, Atle, 2017. "Estimating the competitive storage model: A simulated likelihood approach," Econometrics and Statistics, Elsevier, vol. 4(C), pages 39-56.
    14. Hikaru Hanawa Peterson & William G. Tomek, 2005. "How much of commodity price behavior can a rational expectations storage model explain?," Agricultural Economics, International Association of Agricultural Economists, vol. 33(3), pages 289-303, November.
    15. Kausik Chaudhuri, 2001. "Long-run prices of primary commodities and oil prices," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 531-538.
    16. Hüseyin Taştan & Yılmaz Köprücü, 2023. "Examining spatial market efficiency under different marketing regulations: The case of Turkish lemon markets," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 709-727, September.
    17. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    18. Tomek, William G. & Peterson, Hikaru Hanawa, 2000. "Risk Management in Agricultural Markets: A Survey," Staff Papers 121140, Cornell University, Department of Applied Economics and Management.
    19. Muhammad Imran Chaudhry & Mario J. Miranda, 2024. "Endogenous price fluctuations: Evidence from the chicken supply chain in Pakistan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(2), pages 637-658, March.
    20. Li, Xiaoliang & Li, Bo & Liu, Li, 2023. "Stability and dynamic behaviors of a limited monopoly with a gradient adjustment mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).

  68. Ng, S., 1995. "Testing for Homogeneity in Demand Systems when the Regressors Are Non-Stationary," Cahiers de recherche 9516, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Luca Pieroni & Donatella Lanari & Luca Salmasi, 2010. "Food Prices and Overweight Patterns in Italy," EERI Research Paper Series EERI_RP_2010_40, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    3. Ali Jadidzadeh & Apostolos Serletis, "undated". "Sectoral Interfuel Substitution in Canada: An Application of NQ Flexible Functional Forms," Working Papers 2015-04, Department of Economics, University of Calgary, revised 13 Apr 2015.
    4. Richard Blundell & Jean-Marc Robin, 1999. "Estimation in large and disaggregated demand systems: an estimator for conditionally linear systems," Post-Print hal-00359353, HAL.
    5. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    6. Ogura, Manami, 2011. "Testing for structural break in Japanese demand system after the bubble era," Structural Change and Economic Dynamics, Elsevier, vol. 22(3), pages 277-286, September.
    7. Collins, Sean & Anderson, Richard, 1998. "Modeling U.S. Households' Demands for Liquid Wealth in an Era of Financial Change," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(1), pages 83-101, February.
    8. Scholz, Christian M., 1997. "Environmental tax reform and the double dividend: An econometric demand analysis," Kiel Working Papers 821, Kiel Institute for the World Economy (IfW Kiel).
    9. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    10. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    11. Tiffin, J. Richard & Balcombe, Kelvin George, 2003. "Testing Symmetry And Homogeneity In The Aids With Cointegrated Data Using Fully-Modified Estimation And The Bootstrap," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25845, International Association of Agricultural Economists.
    12. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    13. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    14. Wong, Gary & Fleisher, Belton M. & Zhao, Min Qiang & McGuire, William H., 2020. "Technical Progress and Induced Innovation in China: A Variable Profit Function Approach," IZA Discussion Papers 13017, Institute of Labor Economics (IZA).
    15. Mauricio Calani & J. Rodrigo Fuentes & Klaus Schmidt-Hebbel, 2013. "A systemic approach to modelling and estimating demand for money(ies)," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2141-2162, June.
    16. Pesaran, H.M. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cambridge Working Papers in Economics 9513, Faculty of Economics, University of Cambridge.
    17. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    18. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
    19. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    20. Pieroni, Luca, 2009. "Does defence expenditure affect private consumption? Evidence from the United States," Economic Modelling, Elsevier, vol. 26(6), pages 1300-1309, November.
    21. Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
    22. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    23. Arthur Lewbel & Serena Ng, 2000. "Demand Systems With Nonstationary Prices," Boston College Working Papers in Economics 441, Boston College Department of Economics, revised 07 Jun 2002.
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    Cited by:

    1. Sangeeta Pratap & Silvio Rendon, 2003. "Firm Investment in Imperfect Capital Markets: A Structural Estimation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(3), pages 513-545, July.
    2. Robert S. Chirinko & Huntley Schaller, 2008. "The Irreversibility Premium," CESifo Working Paper Series 2265, CESifo.
    3. Gilchrist, Simon & Himmelberg, Charles P., 1995. "Evidence on the role of cash flow for investment," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 541-572, December.
    4. Robert S. Chirinko & Huntley Schaller, 2002. "A Revealed Preference Approach to Understanding Corporate Governance Problems: Evidence from Canada," CESifo Working Paper Series 826, CESifo.
    5. Sprumont, Y., 1995. "On the Game-Theoretic Structure of Public-Good Economies," Cahiers de recherche 9519, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    6. Pesaran, H.M. & Ruge-Murcia, F.J., 1995. "A Discrete-Time Version of Target Zone Models with Jumps," Cambridge Working Papers in Economics 9513, Faculty of Economics, University of Cambridge.
    7. Carpenter, Robert E. & Guariglia, Alessandra, 2008. "Cash flow, investment, and investment opportunities: New tests using UK panel data," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1894-1906, September.
    8. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    9. Quader, Manzur & Taylor, Karl, 2014. "Corporate Efficiency, Credit Status and Investment," IZA Discussion Papers 8285, Institute of Labor Economics (IZA).
    10. Eric Ghysels & Clive W.J. Granger & Pierre L. Siklos, 1995. "Is Seasonal Adjustment a Linear or Nonlinear Data Filtering Process?," CIRANO Working Papers 95s-19, CIRANO.
    11. Huntley Schaller, 2010. "Investment, Taxes and the Cost of Capital: An Euler Equation Specification Test," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 210-220, September.
    12. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    13. Guariglia, Alessandra & Mateut, Simona, 2010. "Inventory investment, global engagement, and financial constraints in the UK: Evidence from micro data," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 239-250, March.
    14. Sena, Vania, 2006. "The determinants of firms' performance: Can finance constraints improve technical efficiency?," European Journal of Operational Research, Elsevier, vol. 172(1), pages 311-325, July.
    15. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    16. Ornella Wanda Maietta & Vania Sena, 2010. "Financial Constraints And Technical Efficiency: Some Empirical Evidence For Italian Producers' Cooperatives," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(1), pages 21-38, March.
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    1. G. Campbell Watkins, 1993. "Adjustment Costs and Returns to Scale: Some Theoretical and Empirical Aspects," The Energy Journal, , vol. 14(1), pages 257-280, January.

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    See citations under working paper version above.
  2. Cahan, Ercument & Bai, Jushan & Ng, Serena, 2023. "Factor-based imputation of missing values and covariances in panel data of large dimensions," Journal of Econometrics, Elsevier, vol. 233(1), pages 113-131.
    See citations under working paper version above.
  3. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.

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    1. Robin Braun, 2023. "The importance of supply and demand for oil prices: Evidence from non‐Gaussianity," Quantitative Economics, Econometric Society, vol. 14(4), pages 1163-1198, November.
    2. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    3. Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    5. Daniel Lewis, 2024. "Identification based on higher moments," CeMMAP working papers 03/24, Institute for Fiscal Studies.
    6. Jetro Anttonen & Markku Lanne & Jani Luoto, 2024. "Statistically identified structural VAR model with potentially skewed and fat‐tailed errors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 422-437, April.

  4. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.
    See citations under working paper version above.
  5. Jean-Jacques Forneron & Serena Ng, 2021. "Estimation and Inference by Stochastic Optimization: Three Examples," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 626-630, May.
    See citations under working paper version above.
  6. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    See citations under working paper version above.
  7. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    See citations under working paper version above.
  8. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    See citations under working paper version above.
  9. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
    See citations under working paper version above.
  10. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "COVID-19 and the Costs of Deadly Disasters," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 366-370, May.

    Cited by:

    1. Serena Ng, 2021. "Modeling Macroeconomic Variations After COVID-19," Papers 2103.02732, arXiv.org, revised Jul 2021.
    2. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    3. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    4. Laumer, Sebastian & Schaffer, Matthew, 2025. "Monetary policy transmission under supply chain pressure," European Economic Review, Elsevier, vol. 172(C).
    5. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    6. Stankov, Petar, 2024. "Will voters polarize over pandemic restrictions? Theory and evidence from COVID-19," Economic Modelling, Elsevier, vol. 136(C).
    7. Mariella Nenova, 2022. "Households’ Consumption Pattern and Saving – Evidence for the First Year of the Covid-19 Pandemic in Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 3-22.
    8. Chen, Jia & Yi, Xingjian & Liu, Hao, 2024. "Asset redeployability and firm value amidst the COVID-19 pandemic: A real options perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).

  11. Sokbae Lee & Serena Ng, 2020. "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 45-80, August.
    See citations under working paper version above.
  12. Bai, Jushan & Ng, Serena, 2019. "Rank regularized estimation of approximate factor models," Journal of Econometrics, Elsevier, vol. 212(1), pages 78-96.

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    2. Jushan Bai & Serena Ng, 2021. "Approximate Factor Models with Weaker Loadings," Papers 2109.03773, arXiv.org, revised Mar 2023.
    3. Beyhum, Jad & Striaukas, Jonas, 2024. "Testing for sparse idiosyncratic components in factor-augmented regression models," Journal of Econometrics, Elsevier, vol. 244(1).
    4. 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.
    5. 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.
    6. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.
    7. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    8. 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.
    9. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    10. 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.
    11. Raffaella Giacomini & Katja Smetanina & Jason Lu, 2024. "Perceived shocks and impulse responses," IFS Working Papers WCWP21/24, Institute for Fiscal Studies.
    12. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
    13. 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.
    14. Jushan Bai & Serena Ng, 2020. "Simpler Proofs for Approximate Factor Models of Large Dimensions," Papers 2008.00254, arXiv.org.
    15. 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.
    16. Yiren Wang & Liangjun Su & Yichong Zhang, 2022. "Low-rank Panel Quantile Regression: Estimation and Inference," Papers 2210.11062, arXiv.org.
    17. Farnè, Matteo & Montanari, Angela, 2024. "Large factor model estimation by nuclear norm plus ℓ1 norm penalization," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
    18. Raffaella Giacomini & Jason Lu & Katja Smetanina, 2024. "Perceived shocks and impulse responses," CeMMAP working papers 21/24, Institute for Fiscal Studies.
    19. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    20. Yiren Wang & Peter C. B. Phillips & Liangjun Su, 2023. "Panel Data Models with Time-Varying Latent Group Structures," Cowles Foundation Discussion Papers 2364, Cowles Foundation for Research in Economics, Yale University.
    21. Ando, Tomohiro & Bai, Jushan & Lu, Lina & Vojtech, Cindy M., 2024. "Scenario-based quantile connectedness of the U.S. interbank liquidity risk network," Journal of Econometrics, Elsevier, vol. 244(2).
    22. Songnian Chen & Junlong Feng, 2025. "Robust Quantile Factor Analysis," Papers 2501.15761, arXiv.org.
    23. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2025. "Estimating the impact of social distance policy in mitigating COVID-19 spread with factor-based imputation approach," Empirical Economics, Springer, vol. 68(2), pages 585-601, February.
    24. Jungjun Choi & Ming Yuan, 2024. "High Dimensional Factor Analysis with Weak Factors," Papers 2402.05789, arXiv.org.
    25. Hörmann, Siegfried & Jammoul, Fatima, 2022. "Consistently recovering the signal from noisy functional data," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    26. Mao, Jie & Shao, Jingjing & Wang, Weiguan, 2025. "Risk premium principal components for the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 89(C).
    27. Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
    28. Orlando Joaqui-Barandica & Diego F. Manotas-Duque & Jorge M. Uribe-Gil, 2021. ""Commonality, macroeconomic factors and banking profitability"," IREA Working Papers 202113, University of Barcelona, Research Institute of Applied Economics, revised Jun 2021.
    29. 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.
    30. Christian Bayer & Luis Calderon & Moritz Kuhn, 2025. "Distributional Dynamics," CRC TR 224 Discussion Paper Series crctr224_2025_625, University of Bonn and University of Mannheim, Germany.
    31. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.

  13. Forneron, Jean-Jacques & Ng, Serena, 2018. "The ABC of simulation estimation with auxiliary statistics," Journal of Econometrics, Elsevier, vol. 205(1), pages 112-139.
    See citations under working paper version above.
  14. Gorodnichenko, Yuriy & Ng, Serena, 2017. "Level and volatility factors in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 52-68.
    See citations under working paper version above.
  15. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Yong Bao & Xiaotian Liu & Lihong Yang, 2020. "Indirect Inference Estimation of Spatial Autoregressions," Econometrics, MDPI, vol. 8(3), pages 1-26, September.
    3. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    4. Sönksen, Jantje & Grammig, Joachim, 2021. "Empirical asset pricing with multi-period disaster risk: A simulation-based approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 805-832.
    5. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    6. Worapree Maneesoonthorn & David T. Frazier & Gael M. Martin, 2024. "Probabilistic Predictions of Option Prices Using Multiple Sources of Data," Papers 2412.00658, arXiv.org.
    7. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
    8. Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.
    9. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    10. Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.

  16. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    See citations under working paper version above.
  17. Nikolay Gospodinov & Serena Ng, 2015. "Minimum Distance Estimation of Possibly Noninvertible Moving Average Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 403-417, July.
    See citations under working paper version above.
  18. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    See citations under working paper version above.
  19. Serena Ng, 2015. "Constructing Common Factors from Continuous and Categorical Data," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1141-1171, December.

    Cited by:

    1. Wang, Peng & Wang, Xi, 2025. "Adjusted principal component estimation for binary factor model," MPRA Paper 123844, University Library of Munich, Germany.
    2. Benjamin Williams, 2018. "Identification of the Linear Factor Model," Working Papers 2018-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
    4. Evan Munro & Serena Ng, 2022. "Latent Dirichlet Analysis of Categorical Survey Responses," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.
    5. Stegeman, Alwin, 2016. "A new method for simultaneous estimation of the factor model parameters, factor scores, and unique parts," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 189-203.
    6. Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
    7. Evan M. Munro & Serena Ng, 2020. "Latent Dirichlet Analysis of Categorical Survey Expectations," NBER Working Papers 27182, National Bureau of Economic Research, Inc.

  20. Komunjer, Ivana & Ng, Serena, 2014. "Measurement Errors In Dynamic Models," Econometric Theory, Cambridge University Press, vol. 30(1), pages 150-175, February.

    Cited by:

    1. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    2. Daniel Kaufmann, 2017. "Is Deflation Costly After All? The Perils of Erroneous Historical Classifications," IRENE Working Papers 17-09, IRENE Institute of Economic Research.
    3. Thomas von Brasch & Diana-Cristina Iancu & Terje Skjerpen, 2017. "Productivity dispersion and measurement errors," Discussion Papers 869, Statistics Norway, Research Department.
    4. Edith Kitzmantel, 2016. "EU-Fiskalregeln - Anker oder Mühlstein der europäischen Wirtschaftspolitik?," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 42(3), pages 431-450.
    5. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    6. Alicia N. Rambaldi & Ryan R. J. McAllister & Cameron S. Fletcher, 2015. "Decoupling land values in residential property prices: smoothing methods for hedonic imputed price indices," Discussion Papers Series 549, School of Economics, University of Queensland, Australia.
    7. Gospodinov, Nikolay & Komunjer, Ivana & Ng, Serena, 2017. "Simulated minimum distance estimation of dynamic models with errors-in-variables," Journal of Econometrics, Elsevier, vol. 200(2), pages 181-193.
    8. Hilbert, Martin, 2016. "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014," Telecommunications Policy, Elsevier, vol. 40(6), pages 567-581.
    9. Jiahe Lin & George Michailidis, 2019. "Regularized Estimation of High-dimensional Factor-Augmented Vector Autoregressive (FAVAR) Models," Papers 1912.04146, arXiv.org, revised May 2020.

  21. Serena Ng, 2014. "Viewpoint: Boosting Recessions," Canadian Journal of Economics, Canadian Economics Association, vol. 47(1), pages 1-34, February.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    3. Cyrille Lenoel & Garry Young, 2020. "Real-time turning point indicators: Review of current international practices," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-05, Economic Statistics Centre of Excellence (ESCoE).
    4. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    5. Balcilar, Mehmet & Gupta, Rangan & Segnon, Mawuli, 2016. "The role of economic policy uncertainty in predicting U.S. recessions: A mixed-frequency Markov-switching vector autoregressive approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-20.
    6. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    7. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    8. Michael Puglia & Adam Tucker, 2020. "Machine Learning, the Treasury Yield Curve and Recession Forecasting," Finance and Economics Discussion Series 2020-038, Board of Governors of the Federal Reserve System (U.S.).
    9. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    10. Hinterlang, Natascha & Hollmayr, Josef, 2022. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Journal of Macroeconomics, Elsevier, vol. 74(C).
    11. Daniel Borup & Bent Jesper Christensen & Nicolaj N. Mühlbach & Mikkel S. Nielsen, 2020. "Targeting predictors in random forest regression," CREATES Research Papers 2020-03, Department of Economics and Business Economics, Aarhus University.
    12. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    13. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    14. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    15. Azqueta-Gavaldon, Andres & Hirschbühl, Dominik & Onorante, Luca & Saiz, Lorena, 2020. "Nowcasting business cycle turning points with stock networks and machine learning," Working Paper Series 2494, European Central Bank.
    16. Hinterlang, Natascha & Hollmayr, Josef, 2020. "Classification of monetary and fiscal dominance regimes using machine learning techniques," Discussion Papers 51/2020, Deutsche Bundesbank.
    17. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
    18. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    19. Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021. "Comparing minds and machines: implications for financial stability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
    20. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    21. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    22. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    23. Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023. "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers 202306, University of California at Riverside, Department of Economics.
    24. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    25. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    26. Seulki Chung, 2023. "Inside the black box: Neural network-based real-time prediction of US recessions," Papers 2310.17571, arXiv.org, revised May 2024.
    27. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    28. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised May 2024.
    29. Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
    30. Khoa Hoang & Robert Faff, 2021. "Is the ex‐ante equity risk premium always positive? Evidence from a new conditional expectations model," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 95-124, March.
    31. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    32. Hinterlang, Natascha & Hollmayr, Josef, 2021. "Classification of monetary and fiscal dominance regimes using machine learning techniques," IMFS Working Paper Series 160, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    33. Diptes C. P. Bhimjee, 2022. "Adaptive Early Warning Systems: An Axiomatic Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 145-164.
    34. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.

  22. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
    See citations under working paper version above.
  23. Emanuel Moench & Serena Ng & Simon Potter, 2013. "Dynamic Hierarchical Factor Model," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1811-1817, December.
    See citations under working paper version above.
  24. Nikolay Gospodinov & Serena Ng, 2013. "Commodity Prices, Convenience Yields, and Inflation," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 206-219, March.

    Cited by:

    1. Dimitrios Bakas & Athanasios Triantafyllou, 2018. "The Impact of Uncertainty Shocks on the Volatility of Commodity Prices," NBS Discussion Papers in Economics 2018/02, Economics, Nottingham Business School, Nottingham Trent University.
    2. O'Rourke, Kevin & Ellison, Martin & Lee, Sang Seok, 2020. "The Ends of 27 Big Depressions," CEPR Discussion Papers 15061, C.E.P.R. Discussion Papers.
    3. Nikolay Gospodinov & Ibrahim Jamali, 2013. "Monetary policy surprises, positions of traders, and changes in commodity futures prices," FRB Atlanta Working Paper 2013-12, Federal Reserve Bank of Atlanta.
    4. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    5. Wang, Yudong & Liu, Li & Wu, Chongfeng, 2020. "Forecasting commodity prices out-of-sample: Can technical indicators help?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 666-683.
    6. Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
    7. Kyungbo Park & Hangook Kim & Jeonghwa Cha, 2023. "An Exploratory Study on the Development of a Crisis Index: Focusing on South Korea’s Petroleum Industry," Energies, MDPI, vol. 16(14), pages 1-24, July.
    8. Sévi, Benoît, 2015. "Explaining the convenience yield in the WTI crude oil market using realized volatility and jumps," Economic Modelling, Elsevier, vol. 44(C), pages 243-251.
    9. Baruník, Jozef & Bevilacqua, Mattia & Tunaru, Radu, 2022. "Asymmetric network connectedness of fears," LSE Research Online Documents on Economics 108199, London School of Economics and Political Science, LSE Library.
    10. Matsumoto, Akito & Pescatori, Andrea & Wang, Xueliang, 2023. "Commodity prices and global economic activity," Japan and the World Economy, Elsevier, vol. 66(C).
    11. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    12. Fang, Puyi & Gao, Zhaoxing & Tsay, Ruey S., 2023. "Supervised kernel principal component analysis for forecasting," Finance Research Letters, Elsevier, vol. 58(PA).
    13. Abid, Ilyes & Goutte, Stéphane & Guesmi, Khaled & Jamali, Ibrahim, 2019. "Transmission of shocks and contagion from U.S. to MENA equity markets: The role of oil and gas markets," Energy Policy, Elsevier, vol. 134(C).
    14. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Do Precious Metal Prices Help in Forecasting South African Inflation?," Working Papers 03/2015, Stellenbosch University, Department of Economics.
    15. Yu-chin Chen & Stephen J. Turnovsky & Eric Zivot, 2011. "Forecasting Inflation using Commodity Price Aggregates," Working Papers UWEC-2011-14, University of Washington, Department of Economics.
    16. Shiu-Sheng Chen, 2016. "Commodity prices and related equity prices," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 949-967, August.
    17. Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
    18. Bonnier, Jean-Baptiste, 2021. "Speculation and informational efficiency in commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 117(C).
    19. Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022. "Common factors of commodity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
    20. Ferrara, Laurent & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios, 2024. "Oil jump tail risk as a driver of inflation dynamics," Journal of Commodity Markets, Elsevier, vol. 36(C).
    21. Hounyo, Ulrich & Lahiri, Kajal, 2023. "Estimating the variance of a combined forecast: Bootstrap-based approach," Journal of Econometrics, Elsevier, vol. 232(2), pages 445-468.
    22. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Adeabah, David & Sahay, Vinita S., 2024. "Time-varying relationship between international monetary policy and energy markets," Energy Economics, Elsevier, vol. 131(C).
    23. Apergis, Nicholas & Chatziantoniou, Ioannis & Cooray, Arusha, 2020. "Monetary policy and commodity markets: Unconventional versus conventional impact and the role of economic uncertainty," International Review of Financial Analysis, Elsevier, vol. 71(C).
    24. Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
    25. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    26. Julien Chevallier & Benoît Sévi, 2013. "A Fear Index to Predict Oil Futures Returns," Working Papers 2013.62, Fondazione Eni Enrico Mattei.
    27. Siklos, Pierre L., 2021. "The macroeconomic response to real and financial factors, commodity prices, and monetary policy: International evidence," Economic Systems, Elsevier, vol. 45(1).
    28. Ron Alquist & Gregory Bauer & Antonio Diez de los Rios, 2014. "What Does the Convenience Yield Curve Tell Us about the Crude Oil Market?," Staff Working Papers 14-42, Bank of Canada.
    29. Maldonado, Javier & Ruiz Ortega, Esther, 2017. "Accurate Subsampling Intervals of Principal Components Factors," DES - Working Papers. Statistics and Econometrics. WS 23974, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Pan, Zhigang & Bai, Zhihong & Xing, Xiaochao & Wang, Zhufeng, 2024. "US inflation and global commodity prices: Asymmetric interdependence," Research in International Business and Finance, Elsevier, vol. 69(C).
    31. Dagher, Leila & Jamali, Ibrahim & badra, nasser, 2018. "The Predictive Power of Oil and Commodity Prices for Equity Markets," MPRA Paper 116055, University Library of Munich, Germany.
    32. Renuka Mahadevan & Sandy Suardi, 2013. "An Examination Of Linear And Nonlinear Causal Relationships Between Commodity Prices And U.S. Inflation," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1932-1947, October.
    33. Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," NBP Working Papers 213, Narodowy Bank Polski.
    34. Ron Alquist & Olivier Coibion, 2014. "Commodity Price Co-Movement and Global Economic Activity," Staff Working Papers 14-32, Bank of Canada.
    35. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    36. GONÇALVES, Sílvia & PERRON, Benoit, 2018. "Bootstrapping factor models with cross sectional dependence," Cahiers de recherche 2018-07, Universite de Montreal, Departement de sciences economiques.
    37. Wang, Yudong & Zhang, Bing & Diao, Xundi & Wu, Chongfeng, 2015. "Commodity price changes and the predictability of economic policy uncertainty," Economics Letters, Elsevier, vol. 127(C), pages 39-42.
    38. Martin Hodula, 2019. "Monetary Policy and Shadow Banking: Trapped between a Rock and a Hard Place," Working Papers 2019/5, Czech National Bank, Research and Statistics Department.
    39. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    40. Zhang, Yongmin & Ding, Shusheng & Scheffel, Eric M., 2019. "A key determinant of commodity price Co-movement: The role of daily market liquidity," Economic Modelling, Elsevier, vol. 81(C), pages 170-180.
    41. Yannick Le Pen & Benoît Sévi, 2013. "Futures Trading and the Excess Comovement of Commodity Prices," AMSE Working Papers 1301, Aix-Marseille School of Economics, France, revised Jan 2013.
    42. Dbouk, Wassim & Jamali, Ibrahim, 2018. "Predicting daily oil prices: Linear and non-linear models," Research in International Business and Finance, Elsevier, vol. 46(C), pages 149-165.
    43. Gutierrez, Luciano, 2011. "Looking for Rational Bubbles in Agricultural Commodity Markets," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120377, European Association of Agricultural Economists.
    44. Libo Yin & Jing Nie & Liyan Han, 2020. "Intermediary asset pricing in commodity futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1711-1730, November.
    45. Shang, Hua & Yuan, Ping & Huang, Lin, 2016. "Macroeconomic factors and the cross-section of commodity futures returns," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 316-332.
    46. Martin Feldkircher & Pierre L. Siklos, 2018. "Global inflation dynamics and inflation expectations," CAMA Working Papers 2018-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    47. Mr. Ron Alquist & Mr. Olivier Coibion, 2013. "The Comovement in Commodity Prices: Sources and Implications," IMF Working Papers 2013/140, International Monetary Fund.
    48. Kucher, Oleg & Kurov, Alexander, 2014. "Business cycle, storage, and energy prices," Review of Financial Economics, Elsevier, vol. 23(4), pages 217-226.
    49. Jed Armstrong & Günes Kamber & Özer Karagedikli, 2016. "Developing a labour utilisation composite index for New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/04, Reserve Bank of New Zealand.
    50. Byrne, Joseph P. & Ibrahim, Boulis Maher & Sakemoto, Ryuta, 2019. "Carry trades and commodity risk factors," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 121-129.
    51. Yin, Libo & Han, Liyan, 2015. "Co-movements in commodity prices: Global, sectoral and commodity-specific factors," Economics Letters, Elsevier, vol. 126(C), pages 96-100.
    52. Daskalaki, Charoula & Kostakis, Alexandros & Skiadopoulos, George, 2014. "Are there common factors in individual commodity futures returns?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 346-363.
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    1. Ho, Paul, 2024. "Estimating the effects of demographics on interest rates: A robust Bayesian perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
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    7. Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," MPRA Paper 76831, University Library of Munich, Germany.
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    13. Paul Beaudry & Fabrice Collard & Patrick Feve & Alain Guay & Franck Portier, 2022. "Dynamic Identification in VARs," Working Papers 22-08, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
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    18. Benchimol, Jonathan & Bounader, Lahcen, 2018. "Optimal monetary policy under bounded rationality," Bank of Finland Research Discussion Papers 9/2018, Bank of Finland.
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    65. Saccal, Alessandro, 2020. "A note on minimality in Dynare," MPRA Paper 103656, University Library of Munich, Germany.
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    70. Pedro Brinca & Nikolay Iskrev & Francesca Loria, 2022. "On Identification Issues in Business Cycle Accounting Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 55-138, Emerald Group Publishing Limited.
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    72. Callum Jones & Mariano Kulish & Juan Pablo Nicolini, 2022. "Priors and the Slope of the Phillips Curve," Working Papers 165, Red Nacional de Investigadores en Economía (RedNIE).
    73. Yasuo Hirose & Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2024. "Estimating a Behavioral New Keynesian Model with the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(8), pages 2185-2197, December.
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    83. Tatiana Kirsanova & Celsa Machado & Ana Paula Ribeiro, 2020. "Tight and Loose, and Red and Blue: A 'Dance' of Macro Policies in the US," Working Papers 2020_14, Business School - Economics, University of Glasgow.
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    95. Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017. "Identification and estimation of heterogeneous agent models: A likelihood approach," CREATES Research Papers 2017-35, Department of Economics and Business Economics, Aarhus University.
    96. Emanuele Bacchiocchi & Toru Kitagawa, 2022. "Locally- but not Globally-identified SVARs," Working Papers wp1171, Dipartimento Scienze Economiche, Universita' di Bologna.
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  29. Emanuel Moench & Serena Ng, 2011. "A hierarchical factor analysis of U.S. housing market dynamics," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 1-24, February.

    Cited by:

    1. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok & Marco E. Terrones, 2012. "Global House Price Fluctuations: Synchronization and Determinants," NBER Chapters, in: NBER International Seminar on Macroeconomics 2012, pages 119-166, National Bureau of Economic Research, Inc.
    2. MeiChi Huang, 2022. "Time‐varying impacts of expectations on housing markets across hot and cold phases," International Finance, Wiley Blackwell, vol. 25(2), pages 249-265, August.
    3. 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.
    4. Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer‐Steinnocher, 2021. "The Dynamic Impact of Monetary Policy on Regional Housing Prices in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1039-1068, December.
    5. Marcin Jaskowski & Michael McAleer, 2018. "Spurious Cross-Sectional Dependence in Credit Spread Changes," Documentos de Trabajo del ICAE 2018-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries: A FAVAR Model Under Bayesian Framework," Working Papers hal-04141045, HAL.
    7. MeiChi Huang, 2021. "Regime switches and permanent changes in impacts of housing risk factors on MSA‐level housing returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 310-342, January.
    8. 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.
    9. Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
    10. 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.
    11. Cesa-Bianchi, Ambrogio, 2013. "Housing cycles and macroeconomic fluctuations: A global perspective," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 215-238.
    12. Shikha Gupta & Nand Kumar, 2022. "Globalization Versus Slowbalization: A Perspective on the Indian Economy," Journal of South Asian Development, , vol. 17(1), pages 84-107, April.
    13. Bai, Jushan & Ando, Tomohiro, 2013. "Multifactor asset pricing with a large number of observable risk factors and unobservable common and group-specific factors," MPRA Paper 52785, University Library of Munich, Germany, revised Dec 2013.
    14. Andreou, Elena & Gagliardini, Patrick & Ghysels, Eric & Rubin, Mirco, 2017. "Is Industrial Production Still the Dominant Factor for the US Economy?," CEPR Discussion Papers 12219, C.E.P.R. Discussion Papers.
    15. MeiChi Huang, 2019. "Risk diversification gains from metropolitan housing assets," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 453-481, October.
    16. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    17. MeiChi Huang, 2020. "A threshold unobserved components model of housing bubbles: timings and effectiveness of monetary policies," Empirical Economics, Springer, vol. 59(2), pages 887-908, August.
    18. Petre Caraiani & Rangan Gupta & Chi Keung Marco Lau & Hardik A. Marfatia, 2019. "Effects of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in the United States: The Role of Sentiment," Working Papers 201953, University of Pretoria, Department of Economics.
    19. Dalibor Stevanovic, 2015. "Factor augmented autoregressive distributed lag models with macroeconomic applications," CIRANO Working Papers 2015s-33, CIRANO.
    20. Leiva-Leon Danilo, 2014. "Real vs. nominal cycles: a multistate Markov-switching bi-factor approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 557-580, December.
    21. Ruben Hernandez-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers 2013-021, Federal Reserve Bank of St. Louis.
    22. Kirstin Hubrich, 2012. "Comment on "Global House Price Fluctuations: Synchronization and Determinants"," NBER Chapters, in: NBER International Seminar on Macroeconomics 2012, pages 167-173, National Bureau of Economic Research, Inc.
    23. Sakemoto, Ryuta, 2018. "Co-movement between equity and bond markets," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 25-38.
    24. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries : A FAVAR Model Under Bayesian Framework," EconomiX Working Papers 2012-40, University of Paris Nanterre, EconomiX.
    25. Sandro M. Reia & P. Suresh C. Rao & Marc Barthelemy & Satish V. Ukkusuri, 2022. "Spatial structure of city population growth," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    26. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    27. Valadkhani, Abbas, 2014. "Analysing interest rate mark-ups in the Australian mortgage market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 343-361.
    28. Shikong Luo & Alan Tidwell & Sherwood Clements, 2022. "Does Political Uncertainty Affect Residential Development?," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 572-592, November.
    29. Marcel Förster & Markus Jorra & Peter Tillmann, 2012. "The Dynamics of International Capital Flows: Results from a Dynamic Hierarchical Factor Model," MAGKS Papers on Economics 201221, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    30. Michel van der Wel & Sait R. Ozturk & Dick van Dijk, 2015. "Dynamic Factor Models for the Volatility Surface," CREATES Research Papers 2015-13, Department of Economics and Business Economics, Aarhus University.
    31. Bai, Jushan & Ng, Serena, 2013. "Principal components estimation and identification of static factors," Journal of Econometrics, Elsevier, vol. 176(1), pages 18-29.
    32. 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.
    33. Mattera, Raffaele & Franses, Philip Hans, 2025. "Forecasting house price growth rates with factor models and spatio-temporal clustering," International Journal of Forecasting, Elsevier, vol. 41(1), pages 398-417.
    34. Joseph Fairchild & Jun Ma & Shu Wu, 2015. "Understanding Housing Market Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1309-1337, October.
    35. Huang, MeiChi, 2024. "A greater crisis? Investigating MSA-level housing markets during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 71(C).
    36. Sylvie Tchumtchoua & Dipak Dey, 2012. "Modeling Associations Among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 670-692, October.
    37. 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.
    38. Marcel Förster & Peter Tillmann, 2013. "Local Inflation: Reconsidering the International Comovement of Inflation," MAGKS Papers on Economics 201303, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    39. Marcel Förster & Peter Tillmann, 2014. "Reconsidering the International Comovement of Inflation," Open Economies Review, Springer, vol. 25(5), pages 841-863, November.
    40. MeiChi Huang, 2014. "Monetary policy implications of housing shift-contagion across regional markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 589-608, October.

  30. Bai, Jushan & Ng, Serena, 2010. "Panel Unit Root Tests With Cross-Section Dependence: A Further Investigation," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1088-1114, August.

    Cited by:

    1. Kurt A. Hafner & David Mayer-Foulkes, 2012. "Fertility, Human Development, and Economic Growth: Long- term Short-term Causal Links," DEGIT Conference Papers c017_024, DEGIT, Dynamics, Economic Growth, and International Trade.
    2. Rafaty, R. & Dolphin, G. & Pretis, F., 2020. "Carbon pricing and the elasticity of CO2 emissions," Cambridge Working Papers in Economics 20116, Faculty of Economics, University of Cambridge.
    3. Xingwu Zhou & Martin Solberger, 2017. "A Lagrange Multiplier-Type Test for Idiosyncratic Unit Roots in the Exact Factor Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(1), pages 22-50, January.
    4. Afees A. Salisu, 2018. "United we stand, divided we fall: A PANICCA test evidence for stock exchanges in OECD," Working Papers 049, Centre for Econometric and Allied Research, University of Ibadan.
    5. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    6. Feng, Gen-Fu & Wang, Quan-Jing & Chu, Yin & Wen, Jun & Chang, Chun-Ping, 2021. "Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market," Energy Economics, Elsevier, vol. 93(C).
    7. Carrion-i-Silvestre Josep Lluis & Surdeanu Laura, 2011. "Panel Cointegration Rank Testing with Cross-Section Dependence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-43, September.
    8. Amornthum, Somchai & Bonham, Carl S., 2011. "Financial integration in the pacific basin region: RIP by PANIC attack?," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 1019-1033, October.
    9. Quynh Chau Pham Holland & Benjamin Liu & Eduardo Roca, 2019. "International funding cost and heterogeneous mortgage interest-rate pass-through: a bank-level analysis," Empirical Economics, Springer, vol. 57(4), pages 1255-1289, October.
    10. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    11. NguyenHuu, Tams & Karaman Örsal, Deniz Dilan, 2020. "A new and benign hegemon on the horizon? The Chinese century and growth in the Global South," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-35.
    12. Liu, Yanbo & Phillips, Peter C. B. & Yu, Jun, 2022. "A Panel Clustering Approach to Analyzing Bubble Behavior," Economics and Statistics Working Papers 1-2022, Singapore Management University, School of Economics.
    13. Atanu Ghoshray & Issam Malki, 2021. "The share of the global energy mix: Signs of convergence?," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 34-50, January.
    14. Uçak Harun & Çelik Saliha & Kurt Hakan, 2023. "Land Resources and Agricultural Exports Nexus," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 284-300, June.
    15. Guerello, Chiara & Tronzano, Marco, 2020. "“Global factors, international spillovers, and the term structure of interest rates: New evidence for Asian Countries”," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Degye Goshu, 2016. "The Dynamics of Food Price Convergence in Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 24(01), April.
    17. Afees A. Salisu & Umar B. Ndako, 2017. "Modelling stock price-exchange rate nexus in OECD countries - A new perspective," Working Papers 038, Centre for Econometric and Allied Research, University of Ibadan.
    18. Hu, Yang & Valera, Harold Glenn A. & Oxley, Les, 2019. "Market efficiency of the top market-cap cryptocurrencies: Further evidence from a panel framework," Finance Research Letters, Elsevier, vol. 31(C), pages 138-145.
    19. Shiyun Cao & Qiankun Zhou, 2022. "Common Correlated Effects Estimation for Dynamic Heterogeneous Panels with Non-Stationary Multi-Factor Error Structures," Econometrics, MDPI, vol. 10(3), pages 1-27, August.
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    9. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
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    24. Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.

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    3. Teresa Buchen & Klaus Wohlrabe, 2013. "Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany," CESifo Working Paper Series 4148, CESifo.
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    5. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    6. Chen, Qitong & Hong, Yongmiao & Li, Haiqi, 2024. "Time-varying forecast combination for factor-augmented regressions with smooth structural changes," Journal of Econometrics, Elsevier, vol. 240(1).
    7. Frenger, Monika & Emrich, Eike & Geber, Sebastian & Follert, Florian & Pierdzioch, Christian, 2019. "The influence of performance parameters on market value," Working Papers of the European Institute for Socioeconomics 30, European Institute for Socioeconomics (EIS), Saarbrücken.
    8. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
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    11. Lorenza Rossi & Emilio Zanetti Chini, 2019. "Temporal Disaggregation of Business Dynamics: New Evidence for U.S. Economy," Working Papers in Public Economics 188, Department of Economics and Law, Sapienza University of Roma.
    12. Lorenzo Boldrini & Eric Hillebrand, 2015. "The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach," CREATES Research Papers 2015-39, Department of Economics and Business Economics, Aarhus University.
    13. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    14. 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.
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    31. Jean Armand Gnagne & Kevin Moran, 2018. "Monitoring Bank Failures in a Data-Rich Environment," Cahiers de recherche 1815, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
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    34. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
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    44. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    45. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    46. Paolo Fornaro & Henri Luomaranta, 2020. "Nowcasting Finnish real economic activity: a machine learning approach," Empirical Economics, Springer, vol. 58(1), pages 55-71, January.
    47. Lorenzo Boldrini & Eric Hillebrand, 2015. "Supervision in Factor Models Using a Large Number of Predictors," CREATES Research Papers 2015-38, Department of Economics and Business Economics, Aarhus University.
    48. Francisco Dias & Maximiano Pinheiro & António Rua, 2010. "Forecasting using targeted diffusion indexes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 341-352.
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    50. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    51. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
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    53. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
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    Cited by:

    1. T. Ando & R. S. Tsay, 2009. "‘Model selection for generalized linear models with factor‐augmented predictors’," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 243-246, May.
    2. 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.
    3. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries: A FAVAR Model Under Bayesian Framework," Working Papers hal-04141045, HAL.
    4. Demetrescu, Matei & Hacioglu Hoke, Sinem, 2018. "Predictive regressions under asymmetric loss: factor augmentation and model selection," Bank of England working papers 723, Bank of England.
    5. Gloria Gonzalez-Rivera & Esther Ruiz & Javier Vicente, 2018. "Growth in Stress," Working Papers 201805, University of California at Riverside, Department of Economics.
    6. Andrea Cipollini & George Kapetanios, 2005. "Forecasting Financial Crises and Contagion in Asia Using Dynamic Factor Analysis," Working Papers 538, Queen Mary University of London, School of Economics and Finance.
    7. Liang Chen & Juan Jose Dolado & Jesus Gonzalo, 2019. "Quantile Factor Models," Papers 1911.02173, arXiv.org, revised Sep 2020.
    8. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    9. Zhihong Chen & Azhar Iqbal & Huiwen Lai, 2011. "Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 651-672, May.
    10. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    11. Mikkelsen, Jakob Guldbæk & Hillebrand, Eric & Urga, Giovanni, 2019. "Consistent estimation of time-varying loadings in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 208(2), pages 535-562.
    12. Olfa Kaabia & Ilyes Abid, 2012. "Theoretical Channels of International,Transmission During the Subprime Crisis to OCDE Countries : A FAVAR Model Under Bayesian Framework," EconomiX Working Papers 2012-40, University of Paris Nanterre, EconomiX.
    13. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    14. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    15. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    16. Alexander Mayer & Dominik Wied, 2024. "Endogeneity Corrections in Binary Outcome Models with Nonlinear Transformations: Identification and Inference," Papers 2408.06977, arXiv.org, revised May 2025.

  40. Bai, Jushan & Ng, Serena, 2008. "Large Dimensional Factor Analysis," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(2), pages 89-163, June.

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    1. Brandon J. Bates & Mikkel Plagborg-Møller & James H. Stock & Mark W. Watson, "undated". "Consistent factor estimation in dynamic factor models with structural instability," Working Paper 84631, Harvard University OpenScholar.
    2. Konomi Tonogi & Jun-ichi Nakamura & Kazumi Asako, 2014. "Heterogeneity of Capital Stocks in Japan: Classification by Factor Analysis," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 4(2), pages 1-10, April.
    3. 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.
    4. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
    6. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    7. Reichlin, Lucrezia & Doz, Catherine & Giannone, Domenico, 2006. "A Quasi Maximum Likelihood Approach for Large Approximate Dynamic Factor Models," CEPR Discussion Papers 5724, C.E.P.R. Discussion Papers.
    8. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    9. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Laurent Callot & Johannes Tang Kristensen, 2016. "Regularized Estimation of Structural Instability in Factor Models: The US Macroeconomy and the Great Moderation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 437-479, Emerald Group Publishing Limited.
    11. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    12. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    13. Sven Otto & Nazarii Salish, 2022. "Approximate Factor Models for Functional Time Series," Papers 2201.02532, arXiv.org, revised Feb 2025.
    14. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
    15. Jan Mutl, 2002. "Panel VAR Models with Spatial Dependence," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-2, International Conferences on Panel Data.
    16. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
    17. 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.
    18. Emmanuel Thompson & Ahmad M. Talafha, 2017. "Forecasting a Composite Indicator of Economic Activity in Ghana: A Comparison of Data Science Methods," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(4), pages 1-2.
    19. Markus Eberhardt & Francis Teal, 2010. "Productivity Analysis in Global Manufacturing Production," DEGIT Conference Papers c015_019, DEGIT, Dynamics, Economic Growth, and International Trade.
    20. Jonas Krampe & Efstathios Paparoditis, 2021. "Sparsity concepts and estimation procedures for high‐dimensional vector autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(5-6), pages 554-579, September.
    21. Anna Bykhovskaya & Vadim Gorin, 2023. "High-Dimensional Canonical Correlation Analysis," Papers 2306.16393, arXiv.org, revised Jan 2025.
    22. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    23. Goldberg, Lisa R & Papanicolaou, Alex & Shkolnik, Alex, 2022. "The Dispersion Bias," Department of Economics, Working Paper Series qt4kt5g2x3, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    24. Johannes Tang Kristensen, 2012. "Factor-Based Forecasting in the Presence of Outliers: Are Factors Better Selected and Estimated by the Median than by The Mean?," CREATES Research Papers 2012-28, Department of Economics and Business Economics, Aarhus University.
    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. Falk Brauning & Siem Jan Koopman, 2012. "Forecasting Macroeconomic Variables using Collapsed Dynamic Factor Analysis," Tinbergen Institute Discussion Papers 12-042/4, Tinbergen Institute.
    27. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2015. "Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation," Working Papers wp2015_1502, CEMFI.
    28. 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.
    29. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2018. "A Large Canadian Database for Macroeconomic Analysis," CIRANO Working Papers 2018s-25, CIRANO.
    30. 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.
    31. Asger Lunde & Miha Torkar, 2020. "Including news data in forecasting macro economic performance of China," Computational Management Science, Springer, vol. 17(4), pages 585-611, December.
    32. Polyakovskiy, S. & Neumann, F., 2017. "The Packing While Traveling Problem," European Journal of Operational Research, Elsevier, vol. 258(2), pages 424-439.
    33. 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.
    34. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    35. Skripnikov, A. & Michailidis, G., 2019. "Joint estimation of multiple network Granger causal models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 120-133.
    36. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    37. 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.
    38. Martin Lettau & Markus Pelger, 2018. "Estimating Latent Asset-Pricing Factors," NBER Working Papers 24618, National Bureau of Economic Research, Inc.
    39. Claudio Barbieri & Mattia Guerini & Mauro Napoletano, 2024. "The anatomy of government bond yields synchronization in the Eurozone," SciencePo Working papers Main hal-04530954, HAL.
    40. 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.
    41. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    42. Gloria Gonzalez-Rivera & Esther Ruiz & Javier Vicente, 2018. "Growth in Stress," Working Papers 201805, University of California at Riverside, Department of Economics.
    43. Tao Zeng & Yong Li & Jun Yu, 2014. "Deviance Information Criterion for Comparing VAR Models," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 615-637, Emerald Group Publishing Limited.
    44. Peter Fuleky, 2020. "Nowcasting the Trajectory of the COVID-19 Recovery," Working Papers 202022, University of Hawaii at Manoa, Department of Economics.
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    Cited by:

    1. Chamon, Marcos & Schumacher, Julian & Trebesch, Christoph, 2018. "Foreign-law bonds: can they reduce sovereign borrowing costs?," Working Paper Series 2162, European Central Bank.
    2. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    3. 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.
    4. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    5. Takashi Matsuki, 2016. "Linear and nonlinear comovement in Southeast Asian local currency bond markets: a stepwise multiple testing approach," Empirical Economics, Springer, vol. 51(2), pages 591-619, September.
    6. Mario Cerrato & Christian De Peretti & Nick Sarantis, 2007. "A nonlinear panel unit root test under cross section dependence," Documents de recherche 07-12, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    7. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    8. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Working Papers 2013-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    9. Juan Luis Jiménez & Armando Ortuño & Jorge V. Pérez-Rodríguez, 2022. "How does AirBnb affect local Spanish tourism markets?," Empirical Economics, Springer, vol. 62(5), pages 2515-2545, May.
    10. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Smeekes, S., 2011. "Bootstrap sequential tests to determine the stationary units in a panel," Research Memorandum 003, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. MOON, Hyungsik Roger & PERRON, Benoit, 2010. "Beyond Panel Unit Root Tests: Using Multiple Testing to Determine the Non Stationarity Properties of Individual Series in a Panel," Cahiers de recherche 2010-04, Universite de Montreal, Departement de sciences economiques.
    13. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 145-167, June.
    14. 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).
    15. Costantini, Mauro & Lupi, Claudio, 2016. "Identifying stationary series in panels: A Monte Carlo evaluation of sequential panel selection methods," Economics Letters, Elsevier, vol. 138(C), pages 9-14.
    16. Westerlund, Joakim & Larsson, Rolf, 2009. "Testing for a Unit Root in a Random Coefficient Panel Data Model," Working Papers in Economics 383, University of Gothenburg, Department of Economics.
    17. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
    18. Christoph Hanck, 2013. "An Intersection Test for Panel Unit Roots," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 183-203, February.
    19. Westerlund, Joakim, 2014. "A simple test for nonstationarity in mixed panels with incidental trends," Economics Letters, Elsevier, vol. 125(2), pages 160-163.
    20. Matsuki, Takashi & Sugimoto, Kimiko, 2013. "Stationarity of Asian real exchange rates: An empirical application of multiple testing to nonstationary panels with a structural break," Economic Modelling, Elsevier, vol. 34(C), pages 52-58.
    21. Pesaran, M. Hashem, 2012. "On the interpretation of panel unit root tests," Economics Letters, Elsevier, vol. 116(3), pages 545-546.
    22. 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.

  42. Ng, Serena & Lewbel, Arthur, 2008. "Editors' Report 2007," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 557-557.

    Cited by:

    1. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Dovern, Jonas, 2015. "A multivariate analysis of forecast disagreement: Confronting models of disagreement with survey data," European Economic Review, Elsevier, vol. 80(C), pages 16-35.
    3. Bruce Tonn & Paul Frymier & Jared Graves & Jessa Meyers, 2010. "A Sustainable Energy Scenario for the United States: Year 2050," Sustainability, MDPI, vol. 2(12), pages 1-31, November.

  43. Andersen, Torben G. & Lewbel, Arthur & Ng, Serena, 2007. "Editors' Report 2006," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 503-503, October.

    Cited by:

    1. Sharif, Naubahar & Huang, Can, 2010. "Innovation strategy, firm survival and relocation: The case of Hong Kong-owned manufacturing in Guangdong province, China," MERIT Working Papers 2010-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Carolyn Cordery & Rachel Baskerville & Brenda Porter, 2010. "Control or collaboration?," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 23(6), pages 793-813, August.

  44. Ng Serena & Shum Matt, 2007. "Detecting Information Pooling: Evidence from Earnings Forecasts after Brokerage Mergers," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-38, November.

    Cited by:

  45. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.

    Cited by:

    1. Bajraj, Gent & Lorca, Jorge & Wlasiuk, Juan M., 2023. "On foreign drivers of emerging markets fluctuations," Economic Modelling, Elsevier, vol. 129(C).
    2. Alessi, Lucia & Kerssenfischer, Mark, 2016. "The response of asset prices to monetary policy shocks: stronger than thought," Working Paper Series 1967, European Central Bank.
    3. Mario Forni & Luca Sala & Luca Gambetti, 2015. "No News in Business Cycles," Working Papers 535, Barcelona School of Economics.
    4. 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.
    5. Gent Bajraj & Jorge Lorca & Juan M. Wlasiuk, 2022. "On Foreign Drivers of EMEs Fluctuations," Working Papers Central Bank of Chile 951, Central Bank of Chile.
    6. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    7. 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).
    8. 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.
    9. Duo Qin & Tao Tan, 2008. "How Much Intraregional Exchange Rate Variability Could a Currency Union Remove? The Case of ASEAN+3," Working Papers 631, Queen Mary University of London, School of Economics and Finance.
    10. Fulvio Pegoraro & Siegel, A. F. & Tiozzo Pezzoli, L., 2014. "Specification Analysis of International Treasury Yield Curve Factors," Working papers 490, Banque de France.
    11. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. 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).
    13. Arnab Bhattacharjee & Jan Ditzen & Sean Holly, 2021. "Spatial and Spatio-temporal Error Correction, Networks and Common Correlated Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS76, Faculty of Economics and Management at the Free University of Bozen.
    14. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    15. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    16. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2009. "A Robust Criterion for Determining the Number of Factors in Approximate Factor Models," Working Papers ECARES 2009_023, ULB -- Universite Libre de Bruxelles.
    17. Marie Bessec, 2013. "Short‐Term Forecasts of French GDP: A Dynamic Factor Model with Targeted Predictors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 500-511, September.
    18. 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.
    19. Barış Soybilgen, 2020. "Identifying US business cycle regimes using dynamic factors and neural network models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 827-840, August.
    20. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
    21. 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.
    22. Hwee Kwan Chow & Keen Meng Choy, 2008. "Forecasting Business Cycles in a Small Open Economy: A Dynamic Factor Model for Singapore," Economic Growth Centre Working Paper Series 0802, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    23. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
    24. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
    25. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    26. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    27. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    28. Nagayasu, Jun, 2013. "Co-movements in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," SIRE Discussion Papers 2013-66, Scottish Institute for Research in Economics (SIRE).
    29. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    30. 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.
    31. Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
    32. Jun Nagayasu, 2018. "Financial Flows, Global Interest Rates, and Political Integration," DSSR Discussion Papers 75, Graduate School of Economics and Management, Tohoku University.
    33. Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023. "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
    34. Ricardo Reis & Mark W. Watson, 2007. "Relative Goods' Prices, Pure Inflation, and the Phillips Correlation," NBER Working Papers 13615, National Bureau of Economic Research, Inc.
    35. Jorge Lorca, 2021. "Capital Flows and Emerging Markets Fluctuations," Working Papers Central Bank of Chile 898, Central Bank of Chile.
    36. David Blake & Marco Morales & Wenjun Zhu & Ken Seng Tan & Chou-Wen Wang, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 477-493, April.
    37. 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.
    38. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023. "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers 23-05, Federal Reserve Bank of Cleveland.
    39. Cynthia Fan Yang, 2021. "Common factors and spatial dependence: an application to US house prices," Econometric Reviews, Taylor & Francis Journals, vol. 40(1), pages 14-50, January.
    40. Alain Kabundi & Francisco Nadal De Simone, 2011. "France in the global economy: a structural approximate dynamic factor model analysis," Empirical Economics, Springer, vol. 41(2), pages 311-342, October.
    41. Gomez-Gonzalez, Jose E. & Hirs-Garzón, Jorge & Uribe, Jorge M., 2022. "Interdependent capital structure choices and the macroeconomy," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    42. Vladimir Kuzin & Massimiliano Marcellino & Christian Schumacher, 2009. "Pooling versus Model Selection for Nowcasting with Many Predictors: An Application to German GDP," Economics Working Papers ECO2009/13, European University Institute.
    43. Hevia, Constantino & Servén, Luis, 2018. "Assessing the degree of international consumption risk sharing," Journal of Development Economics, Elsevier, vol. 134(C), pages 176-190.
    44. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André & Creal, Drew, 2013. "Observation driven mixed-measurement dynamic factor models with an application to credit risk," Working Paper Series 1626, European Central Bank.
    45. 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.
    46. Anna Bykhovskaya & Vadim Gorin, 2023. "High-Dimensional Canonical Correlation Analysis," Papers 2306.16393, arXiv.org, revised Jan 2025.
    47. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    48. 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.
    49. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    50. Elena Deryugina & Alexey Ponomarenko, 2019. "Disinflation and reliability of underlying inflation measures," Bank of Russia Working Paper Series wps44, Bank of Russia.
    51. Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    52. 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).
    53. 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".
    54. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
    55. Mario di Serio & Matteo Fragetta & Mr. Giovanni Melina, 2021. "The Impact of r-g on the Euro-Area Government Spending Multiplier," IMF Working Papers 2021/039, International Monetary Fund.
    56. Barbara Rossi & Tatevik Sekhposyan, 2013. "Evaluating predictive densities of U.S. output growth and inflation in a large macroeconomic data set," Economics Working Papers 1370, Department of Economics and Business, Universitat Pompeu Fabra.
    57. Nii Ayi Armah & Norman R. Swanson, 2008. "Seeing inside the black box: Using diffusion index methodology to construct factor proxies in large scale macroeconomic time series environments," Working Papers 08-25, Federal Reserve Bank of Philadelphia.
    58. Shahin Tavakoli & Gilles Nisol & Marc Hallin, 2023. "Factor models for high‐dimensional functional time series II: Estimation and forecasting," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(5-6), pages 601-621, September.
    59. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Working Papers 1230, Banco de España.
    60. 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.
    61. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    62. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2013. "Understanding global liquidity," Discussion Papers 03/2013, Deutsche Bundesbank.
    63. Iader Giraldo & Carlos Giraldo & José E. Gomez-Gonzalez & Jorge Mario Uribe, 2023. "US uncertainty shocks, credit, production, and prices: The case of fourteen Latin American countries," Documentos de trabajo 20667, FLAR.
    64. Marc Hallin & Roman Liska, 2008. "Dynamic Factors in the Presence of Block Structure," Working Papers ECARES 2008_012, ULB -- Universite Libre de Bruxelles.
    65. 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.
    66. Olivier Fortin-Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2018. "A Large Canadian Database for Macroeconomic Analysis," CIRANO Working Papers 2018s-25, CIRANO.
    67. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Pedro José Piqueras Martínez, 2024. "Dynamic Factor Models and Fractional Integration – With an Application to US Real Economic Activity," CESifo Working Paper Series 11486, CESifo.
    68. 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.
    69. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
    70. 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.
    71. Forni, Mario & Gambetti, Luca, 2010. "The dynamic effects of monetary policy: A structural factor model approach," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 203-216, March.
    72. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    73. Hwee Kwan Chow & Keen Meng Choy, 2009. "Monetary Policy and Asset Prices in a Small Open Economy: A Factor-Augmented VAR Analysis for Singapore," Working Papers 11-2009, Singapore Management University, School of Economics.
    74. 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.
    75. Maria Gadea & Ana Gómez-Loscos & Antonio Montañés, 2012. "Cycles inside cycles: Spanish regional aggregation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 3(4), pages 423-456, December.
    76. Bouwman, Kees E. & Jacobs, Jan P.A.M., 2005. "Forecasting with real-time macroeconomic data: the ragged-edge problem and revisions," CCSO Working Papers 200505, University of Groningen, CCSO Centre for Economic Research.
    77. Lasse BORK & Hans DEWACHTER & Romain HOUSSA, 2009. "Identification of macroeconomic factors in large panels," Working Papers of Department of Economics, Leuven ces09.18, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    78. Luca Gambetti, 2010. "Fiscal Policy, Foresight and the Trade Balance in the U.S," UFAE and IAE Working Papers 852.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    79. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    80. 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.
    81. 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".
    82. Norman R. Swanson & Nii Ayi Armah, 2011. "Some Variables are More Worthy Than Others: New Diffusion Index Evidence on the Monitoring of Key Economic Indicators," Departmental Working Papers 201115, Rutgers University, Department of Economics.
    83. 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.
    84. Muriel Nguiffo-Boyom, 2014. "2007-2013: This is what the indicator told us ? Evaluating the performance of real-time nowcasts from a dynamic factor model," BCL working papers 88, Central Bank of Luxembourg.
    85. Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2012. "Bank Leverage Shocks And The Macroeconomy: A New Look In A Data-Rich Environment," CIRANO Papers 2012n-10a, CIRANO.
    86. Xin Tian & Jan Jacobs & Jakob de Haan, 2022. "Alternative Measures for the Global Financial Cycle: Do They Make a Difference?," CESifo Working Paper Series 9730, CESifo.
    87. Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
    88. Jorge M. Uribe, 2018. "“Scaling Down Downside Risk with Inter-Quantile Semivariances”," IREA Working Papers 201826, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
    89. 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.
    90. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.
    91. Chudik , A. & Pesaran, M.H., 2007. "Infinite Dimensional VARs and Factor Models," Cambridge Working Papers in Economics 0757, Faculty of Economics, University of Cambridge.
    92. 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).
    93. Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Staff Working Papers 13-35, Bank of Canada.
    94. Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
    95. Halil Ibrahim Gunduz & Furkan Emirmahmutoglu & M. Eray Yucel, 2025. "A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 21-67, January.
    96. Matteo Fragetta & Emanuel Gasteiger, 2012. "Fiscal Foresight, Limited Information and the Effects of Government Spending Shocks," Working Papers Series 2 12-02, ISCTE-IUL, Business Research Unit (BRU-IUL).
    97. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
    98. Andrés Felipe Londono & Jorge Andrés Tamayo & Carlos Alberto Velásquez, 2012. "Dinámica de la política monetaria e inflación objetivo en Colombia: una aproximación FAVAR," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 30(68), pages 14-71, June.
    99. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    100. Panagiotidis, Theodore & Printzis, Panagiotis, 2020. "What is the investment loss due to uncertainty?," Global Finance Journal, Elsevier, vol. 45(C).
    101. Simona Malovana & Jan Frait, 2016. "Monetary Policy and Macroprudential Policy: Rivals or Teammates?," Working Papers 2016/06, Czech National Bank, Research and Statistics Department.
    102. 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.
    103. Selover, David D. & Yagihashi, Takeshi, 2015. "Examining industrial interdependence between Japan and South Korea: A FAVAR approach," Japan and the World Economy, Elsevier, vol. 36(C), pages 67-87.
    104. 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.
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    3. Meng, Ginger & Hu, Gang & Bai, Jushan, 2007. "Olive: a simple method for estimating betas when factors are measured with error," MPRA Paper 33183, University Library of Munich, Germany.
    4. de Nicola, Francesca & De Pace, Pierangelo & Hernandez, Manuel A., 2014. "Co-movement of major commodity price returns : time-series assessment," Policy Research Working Paper Series 6845, The World Bank.
    5. Yugang He & Chunlei Wang, 2022. "Does Buddhist Tourism Successfully Result in Local Sustainable Development?," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    6. Josep Lluís Carrion-i-Silvestre & Vicente German-Soto, 2008. "Panel Data Stochastic Convergence Analysis of the Mexican Regions," IREA Working Papers 200805, University of Barcelona, Research Institute of Applied Economics, revised Apr 2008.
    7. Werner, Daniel, 2014. "New insights into the development of regional unemployment disparities," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100416, Verein für Socialpolitik / German Economic Association.
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    9. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
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    12. Costantini, Mauro & Fragetta, Matteo & Melina, Giovanni, 2014. "Determinants of sovereign bond yield spreads in the EMU: An optimal currency area perspective," European Economic Review, Elsevier, vol. 70(C), pages 337-349.
    13. Firouz Fallahi & Gabriel Rodríguez, 2011. "Persistence of Unemployment in the Canadian Provinces," International Regional Science Review, , vol. 34(4), pages 438-458, October.
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    15. Syed A. Basher & Josep Lluís Carrion-i-Silvestre, 2007. "Another Look at the Null of Stationary RealExchange Rates. Panel Data with Structural Breaks and Cross-section Dependence," IREA Working Papers 200710, University of Barcelona, Research Institute of Applied Economics, revised May 2007.
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    17. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2012. "Interest rate co-movements, global factors and the long end of the term spread," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 183-192.
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    22. Ikram Jebabli & Mohamed Arouri & Frédéric Teulon, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVPVAR models with stochastic volatility," Working Papers 2014-209, Department of Research, Ipag Business School.
    23. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
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    33. Syed A. Basher & Josep Lluis Carrión-i-Silvestre, 2008. "Price level convergence, purchasing power parity and multiple structural breaks: An application to US cities," Working Papers XREAP2008-08, Xarxa de Referència en Economia Aplicada (XREAP), revised Jul 2008.
    34. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2011. "Primary commodity prices : co-movements, common factors and fundamentals," Policy Research Working Paper Series 5578, The World Bank.
    35. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross‐Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.
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    39. Nicola, Francesca de & De Pace, Pierangelo & Hernandez, Manuel A., 2016. "Co-movement of major energy, agricultural, and food commodity price returns: A time-series assessment," Energy Economics, Elsevier, vol. 57(C), pages 28-41.
    40. Lucotte, Yannick, 2016. "Co-movements between crude oil and food prices: A post-commodity boom perspective," Economics Letters, Elsevier, vol. 147(C), pages 142-147.
    41. 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.
    42. Malliaropulos, Dimitris & Migiakis, Petros, 2018. "The re-pricing of sovereign risks following the Global Financial Crisis," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 39-56.
    43. Basher Syed A. & Carrion-i-Silvestre Josep Lluís, 2009. "Price Level Convergence, Purchasing Power Parity and Multiple Structural Breaks in Panel Data Analysis: An Application to U.S. Cities," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-38, April.
    44. Herrera, Ana Mari­a & Murtazashvili, Irina & Pesavento, Elena, 2008. "The comovement in inventories and in sales: Higher and higher," Economics Letters, Elsevier, vol. 99(1), pages 155-158, April.
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    2. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    3. Wu, Jianhong, 2019. "Detecting irrelevant variables in possible proxies for the latent factors in macroeconomics and finance," Economics Letters, Elsevier, vol. 176(C), pages 60-63.
    4. Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
    5. 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).
    6. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.
    7. 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.
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    290. Jennie Bai, 2010. "Equity premium predictions with adaptive macro indexes," Staff Reports 475, Federal Reserve Bank of New York.
    291. Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
    292. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    293. Jushan Bai & Serena Ng, 2009. "Boosting diffusion indices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 607-629.
    294. Jushan Bai & Serena Ng, 2017. "Principal Components and Regularized Estimation of Factor Models," Papers 1708.08137, arXiv.org, revised Nov 2017.
    295. Diego Fresoli & Pilar Poncela & Esther Ruiz, 2024. "Dealing with idiosyncratic cross-correlation when constructing confidence regions for PC factors," Papers 2407.06883, arXiv.org.
    296. 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.
    297. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
    298. 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.
    299. Alessandro Morico & Ovidijus Stauskas, 2025. "Robust Tests for Factor-Augmented Regressions with an Application to the novel EA-MD Dataset," Papers 2504.08455, arXiv.org.
    300. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 47/14, Institute for Fiscal Studies.
    301. Zhenhao Gong & Min Seong Kim, 2024. "Improved Inference for Interactive Fixed Effects Model under Cross-Sectional Dependence," Working papers 2024-02, University of Connecticut, Department of Economics.
    302. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    303. Lake, A., 2020. "Optimal Feasible Expectations in Economics and Finance," Cambridge Working Papers in Economics 20105, Faculty of Economics, University of Cambridge.
    304. Cheng, Mingmian & Swanson, Norman R. & Yang, Xiye, 2021. "Forecasting volatility using double shrinkage methods," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 46-61.
    305. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    306. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    307. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
    308. Leif Anders Thorsrud, 2013. "Global and regional business cycles. Shocks and propagations," Working Paper 2013/08, Norges Bank.
    309. 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.
    310. Ma, Chenchen & Tu, Yundong, 2023. "Group fused Lasso for large factor models with multiple structural breaks," Journal of Econometrics, Elsevier, vol. 233(1), pages 132-154.
    311. Wei, Jie & Zhang, Yonghui, 2020. "A time-varying diffusion index forecasting model," Economics Letters, Elsevier, vol. 193(C).
    312. Hasnain Iftikhar & Faridoon Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application," Mathematics, MDPI, vol. 13(7), pages 1-18, March.
    313. James H. Stock & Mark W. Watson, 2012. "Disentangling the Channels of the 2007-2009 Recession," NBER Working Papers 18094, National Bureau of Economic Research, Inc.

  50. Bai, Jushan & Ng, Serena, 2006. "Evaluating latent and observed factors in macroeconomics and finance," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 507-537.
    See citations under working paper version above.
  51. Arthur Lewbel & Serena Ng, 2005. "Demand Systems with Nonstationary Prices," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 479-494, August.
    See citations under working paper version above.
  52. Jushan Bai & Serena Ng, 2005. "Tests for Skewness, Kurtosis, and Normality for Time Series Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 49-60, January.
    See citations under working paper version above.
  53. Jean Boivin & Serena Ng, 2005. "Understanding and Comparing Factor-Based Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    See citations under working paper version above.
  54. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    See citations under working paper version above.
  55. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    See citations under working paper version above.
  56. Andreas Waldkirch & Serena Ng & Donald Cox, 2004. "Intergenerational Linkages in Consumption Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    See citations under working paper version above.
  57. Ng, Serena, 2003. "Can sticky prices account for the variations and persistence in real exchange rates?," Journal of International Money and Finance, Elsevier, vol. 22(1), pages 65-85, February.
    See citations under working paper version above.
  58. Emanuela Cardia & Serena Ng, 2003. "Intergenerational Time Transfers and Childcare," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(2), pages 431-454, April.

    Cited by:

    1. Nigar Hashimzade, 2020. "Endogenous Preferences for Parenting and Macroeconomic Outcomes," CESifo Working Paper Series 8062, CESifo.
    2. Emanuela Cardia & Paul Gomme, 2013. "The Household Revolution: Childcare, Housework, and Female Labor Force Participation," Cahiers de recherche 08-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. CARDIA, Emanuela & MICHEL, Philippe, 2003. "Altruism, Intergenerational Transfers of Time and Bequests," Cahiers de recherche 02-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Gema Zamarro, 2020. "Family labor participation and child care decisions: the role of grannies," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(3), pages 287-312, September.
    6. Robin L. Lumsdaine & Stephanie J.C. Vermeer, 2014. "Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren," NBER Working Papers 20756, National Bureau of Economic Research, Inc.
    7. Erich Battistin & Michele De Nadai & Mario Padula, 2015. "Roadblocks on the Road to Grandma’s House: Fertility Consequences of Delayed Retirement," Working Papers 748, Queen Mary University of London, School of Economics and Finance.
    8. Robin Lumsdaine & Stephanie Vermeer, 2015. "Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren," Demography, Springer;Population Association of America (PAA), vol. 52(2), pages 433-454, April.
    9. Eva Garcia-Moran & Zoe Kuehn, 2012. "With Strings Attached: Grandparent-Provided Child care, Fertility, and Female Labor Market Outcomes," CEPRA working paper 1202, USI Università della Svizzera italiana.
    10. Emanuela Cardia & Paul Gomme, 2017. "Market Work, Housework and Childcare: A Time Use Approach," Working Papers 15007, Concordia University, Department of Economics.
    11. Paula C. Albuquerque, 2014. "The Interaction of Private Intergenerational Transfers Types," Working Papers Department of Economics 2014/03, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    12. Aely Park, 2022. "Longitudinal Patterns of Grandchild Care in South Korea," IJERPH, MDPI, vol. 19(3), pages 1-15, January.
    13. Laurent Gobillon & Francois-Charles Wolff, 2011. "Housing and Location Choices of Retiring Households: Evidence from France," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 331-347, February.
    14. Chen, Yanran & Lyu, Youji, 2025. "Grandchild care and grandparents’ labor supply," Economic Modelling, Elsevier, vol. 143(C).
    15. Meng, Lingsheng & Zhang, Yunbin & Zou, Ben, 2023. "The motherhood penalty in China: Magnitudes, trends, and the role of grandparenting," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 105-132.
    16. Daniela Boca & Daniela Piazzalunga & Chiara Pronzato, 2018. "The role of grandparenting in early childcare and child outcomes," Review of Economics of the Household, Springer, vol. 16(2), pages 477-512, June.
    17. Pelin Akyol & Zeynep Yılmaz, 2024. "Effects of Grandmothers' Proximity on Mothers' Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1122-1162, October.
    18. Monica Harber Carney, 2024. "Trade-offs in intergenerational family care provision," Review of Economics of the Household, Springer, vol. 22(2), pages 563-593, June.
    19. Deng, Yue & Zhou, Yuqian & Hu, Dezhuang, 2023. "Grandparental childcare and female labor market behaviors: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    20. Janice Compton & Robert A. Pollak, 2011. "Family Proximity, Childcare, and Women's Labor Force Attachment," NBER Working Papers 17678, National Bureau of Economic Research, Inc.
    21. García-Morán, Eva & Kuehn, Zoe, 2012. "With strings attached: Grandparent-provided child care, fertility, and female labor market outcomes," MPRA Paper 37001, University Library of Munich, Germany.
    22. Alessandra Casarico & Alessandro Sommacal, 2008. "Labor Income Taxation, Human Capital and Growth: The Role of Child Care," CESifo Working Paper Series 2363, CESifo.
    23. Quang-Thanh Tran, 2025. "Dual Caregiving and Overlapping Generations," TUPD Discussion Papers 64, Graduate School of Economics and Management, Tohoku University.
    24. Ho Christine, 2019. "Optimal Disability Insurance with Informal Child Care," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-42, April.
    25. Christine Ho, 2015. "Grandchild care, intergenerational transfers, and grandparents’ labor supply," Review of Economics of the Household, Springer, vol. 13(2), pages 359-384, June.
    26. Leimer, Birgit & van Ewijk, Reyn, 2022. "Are grandchildren good for you? Well-being and health effects of becoming a grandparent," Social Science & Medicine, Elsevier, vol. 313(C).
    27. Mizushima, Atsue, 2009. "Intergenerational transfers of time and public long-term care with an aging population," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 572-581, December.
    28. Casarico, Alessandra & Micheletto, Luca & Sommacal, Alessandro, 2011. "Intergenerational transmission of skills during childhood and optimal public policy," Working Paper Series, Center for Fiscal Studies 2011:3, Uppsala University, Department of Economics.
    29. Ilciukas, Julius, 2023. "Fertility and parental retirement," Journal of Public Economics, Elsevier, vol. 226(C).
    30. Wang, Ye & Zhao, Xindong, 2022. "Grandparental childcare, maternal labor force participation, and the birth of a second child: Further knowledge from empirical analysis," Journal of Business Research, Elsevier, vol. 139(C), pages 762-770.
    31. Joaquín Andaluz & Miriam Marcén & José Alberto Molina, 2017. "The Effects of Inter-Generational Transfers on the Marital Surplus," Manchester School, University of Manchester, vol. 85(3), pages 320-338, June.
    32. Xinxin Ma, 2022. "Grandchildren Care and Labor Supply of Middle-Aged Grandmothers: Evidence from China," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 581-598, September.
    33. Minagawa Junichi & Upmann Thorsten, 2014. "A Single Parent’s Labor Supply: Evaluating Different Child Care Fees within an Intertemporal Framework," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 14(1), pages 177-215, January.
    34. Ainoa Aparicio Fenoll, 2020. "The uneven impact of women's retirement on their daughters' employment," Review of Economics of the Household, Springer, vol. 18(3), pages 795-821, September.
    35. Miyazawa, Kazutoshi, 2016. "Grandparental child care, child allowances, and fertility," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 53-60.
    36. Alessandra Casarico & Alessandro Sommacal, 2014. "Taxation and Parental Time Allocation under Different Assumptions on Altruism," CESifo Working Paper Series 4690, CESifo.
    37. Yang, Fang, 2013. "Social security reform with impure intergenerational altruism," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 52-67.
    38. Rydell, Ingrid, 2005. "Equity, Justice, Interdependence: Intergenerational Transfers and the Ageing Population," Arbetsrapport 2005:5, Institute for Futures Studies.
    39. Eva Garcia-Moran & Zoe Kuehn, 2016. "Online Appendix to "With Strings Attached: Grandparent-Provided Child Care and Female Labor Market Outcomes"," Online Appendices 14-169, Review of Economic Dynamics.
    40. Rupert, Peter & Zanella, Giulio, 2018. "Grandchildren and their grandparents' labor supply," Journal of Public Economics, Elsevier, vol. 159(C), pages 89-103.
    41. Nguyen, Quynh-Nga, 2024. "Intergenerational time transfer, retirement and public pensions," The Journal of the Economics of Ageing, Elsevier, vol. 27(C).
    42. Christine Ho, 2014. "Welfare-to-Work Reform and Intergenerational Support: Grandmothers’ Response to the 1996 PRWORA," Working Papers 12-2014, Singapore Management University, School of Economics.
    43. Pascal Belan & Erwan Moussault, 2019. "Inheritance Taxation in a Model with Intergenerational Time Transfers," Post-Print hal-04271351, HAL.
    44. Pedro Gete and Paolo Porchia, 2011. "Fertility and Consumption when Having a Child is a Risky Investment," Working Papers gueconwpa~11-11-03, Georgetown University, Department of Economics.
    45. Pascal Belan & Pierre-Jean Messe & François-Charles Wolff, 2010. "Postponing retirement age and labor force participation : the role of family transfers," Discussion Papers (REL - Recherches Economiques de Louvain) 2010041, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    46. Eva García-Morán & Zoë Kuehn, 2013. "With Strings Attached: Grandparent-Provided Child Care and Female Labor Market Outcomes," SOEPpapers on Multidisciplinary Panel Data Research 610, DIW Berlin, The German Socio-Economic Panel (SOEP).
    47. Paolo Porchia & Pedro Gete, 2011. "Fertility and Consumption when Having a Child is a Risky Investment," 2011 Meeting Papers 563, Society for Economic Dynamics.
    48. Osuna Victoria, 2021. "Subsidising Formal Childcare Versus Grandmothers' Time: Which Policy is More Effective?," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 85-111, January.
    49. García-Morán, Eva & Kuehn, Zoe, 2013. "With strings attached: Grandparent-provided child care and female labor market outcomes," MPRA Paper 48953, University Library of Munich, Germany.
    50. Janice Compton, 2015. "Family proximity and the labor force status of women in Canada," Review of Economics of the Household, Springer, vol. 13(2), pages 323-358, June.

  59. Serena Ng & Timothy Vogelsang, 2002. "Analysis Of Vector Autoregressions In The Presence Of Shifts In Mean," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 353-381.
    See citations under working paper version above.
  60. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 43-64, May.
    See citations under working paper version above.
  61. Serena Ng & Timothy J. Vogelsang, 2002. "Forecasting autoregressive time series in the presence of deterministic components," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 196-224, June.
    See citations under working paper version above.
  62. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    See citations under working paper version above.
  63. Bai, Jushan & Ng, Serena, 2001. "A consistent test for conditional symmetry in time series models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 225-258, July.

    Cited by:

    1. Esfandiar Maasoumi & Jeffrey Racine, 2009. "A Robust Entropy-Based Test of Asymmetry for Discrete and Continuous Processes," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 246-261.
    2. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    3. Francq, Christian & Jiménez Gamero, Maria Dolores & Meintanis, Simos, 2015. "Tests for sphericity in multivariate garch models," MPRA Paper 67411, University Library of Munich, Germany.
    4. Kuosmanen, Timo & Fosgerau, Mogens, 2009. "Neoclassical versus frontier production models? Testing for the skewness of regression residuals," MPRA Paper 24208, University Library of Munich, Germany.
    5. Escanciano, J. Carlos, 2010. "Asymptotic Distribution-Free Diagnostic Tests For Heteroskedastic Time Series Models," Econometric Theory, Cambridge University Press, vol. 26(3), pages 744-773, June.
    6. Tao Chen & Gautam Tripathi, 2014. "A simple consistent test of conditional symmetry in symmetrically trimmed tobit models," DEM Discussion Paper Series 14-04, Department of Economics at the University of Luxembourg.
    7. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    8. Claude Diebolt & Jamel Trabelsi, 2008. "Human Capital and French Macroeconomic Growth in the Long Run," Working Papers 08-11, Association Française de Cliométrie (AFC).
    9. Fuchun Li & Greg Tkacz, 2001. "A Consistent Bootstrap Test for Conditional Density Functions with Time-Dependent Data," Staff Working Papers 01-21, Bank of Canada.
    10. Lambert, Philippe & Laurent, Sébastien & Veredas, David, 2012. "Testing conditional asymmetry: A residual-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1229-1247.
    11. Alicia Pérez Alonso, 2006. "A Bootstrap Approach To Test The Conditional Symmetry In Time Series Models," Working Papers. Serie AD 2006-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    12. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    13. Dante Amengual & Xinyue Bei & Marine Carrasco & Enrique Sentana, 2023. "Score-type tests for normal mixtures," CIRANO Working Papers 2023s-02, CIRANO.
    14. Laïb Naâmane & Lemdani Mohamed & Ould Saïd Elias, 2013. "A functional conditional symmetry test for a GARCH-SM model: Power asymptotic properties," Statistics & Risk Modeling, De Gruyter, vol. 30(1), pages 75-104, March.
    15. Paolo Zagaglia, 2006. "How reliable are Taylor rules? A view from asymmetry in the U.S. Fed funds rate," Economics Bulletin, AccessEcon, vol. 5(14), pages 1-11.
    16. Andreou, Elena & Werker, Bas J.M., 2015. "Residual-based rank specification tests for AR–GARCH type models," Journal of Econometrics, Elsevier, vol. 185(2), pages 305-331.
    17. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    18. Mihail Petkovski & Jordan Kjosevski & Aleksandar Stojkov & Katerina Bartasek Petkovska, 2024. "Examining Country-specific and Global Factors of Inflation Dynamics: The Curious Case of Baltic States," Politická ekonomie, Prague University of Economics and Business, vol. 2024(6), pages 896-922.
    19. Su, Liangjun, 2006. "A simple test for multivariate conditional symmetry," Economics Letters, Elsevier, vol. 93(3), pages 374-378, December.
    20. Chung, EunYi & Olivares, Mauricio, 2021. "Permutation test for heterogeneous treatment effects with a nuisance parameter," Journal of Econometrics, Elsevier, vol. 225(2), pages 148-174.
    21. Li, Fuchun & Tkacz, Greg, 2006. "A consistent bootstrap test for conditional density functions with time-series data," Journal of Econometrics, Elsevier, vol. 133(2), pages 863-886, August.
    22. Simos Meintanis, 2013. "Comments on: An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 432-436, September.
    23. Chen, Qiang & Zheng, Xu & Pan, Zhiyuan, 2015. "Asymptotically distribution-free tests for the volatility function of a diffusion," Journal of Econometrics, Elsevier, vol. 184(1), pages 124-144.
    24. Marcelo Fernandes & Eduardo Mendes & Olivier Scaillet, 2015. "Testing for symmetry and conditional symmetry using asymmetric kernels," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(4), pages 649-671, August.
    25. Tao Chen & Gautam Tripathi, 2013. "Testing conditional symmetry without smoothing," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(2), pages 273-313, June.
    26. Elena Andreou & Bas J.M. Werker, 2014. "Residual-based Rank Specification Tests for AR-GARCH type models," University of Cyprus Working Papers in Economics 02-2014, University of Cyprus Department of Economics.
    27. Andrea Bastianin, 2020. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Applied Economics, Taylor & Francis Journals, vol. 52(7), pages 637-670, February.
    28. Yi-Ting Chen & Chung-Ming Kuan, 2003. "A Generalized Jarque-Bera Test of Conditional Normality," IEAS Working Paper : academic research 03-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    29. Ippei Fuijwara & Lena Mareen Korber & Daisuke Nagakura, 2013. "Asymmetry in Government Bond Returns," Macroeconomics Working Papers 23399, East Asian Bureau of Economic Research.
    30. Bai, Jushan & Chen, Zhihong, 2008. "Testing multivariate distributions in GARCH models," Journal of Econometrics, Elsevier, vol. 143(1), pages 19-36, March.
    31. Igor Kheifets & Carlos Velasco, 2012. "Model Adequacy Checks for Discrete Choice Dynamic Models," Working Papers w0170, New Economic School (NES).
    32. Juan Mora, 2005. "The Two-Sample Problem With Regression Errors: An Empirical Process Approach," Working Papers. Serie AD 2005-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    33. Philippe Lambert & Sébastien Laurent, 2008. "Testing Conditional Dynamics in Asymmetry. A Residual-Based Approach," Working Papers ECARES 2008_009, ULB -- Universite Libre de Bruxelles.
    34. Werker, Bas J M & Andreou, Elena, 2013. "Residual-based Rank Specification Tests for AR-GARCH type models," CEPR Discussion Papers 9583, C.E.P.R. Discussion Papers.
    35. Maasoumi, Esfandiar & Racine Jeff, 2003. "A Robust Entropy-Based Test for Asymmetry," Departmental Working Papers 0508, Southern Methodist University, Department of Economics.
    36. Liangjun Su & Sainan Jin, 2005. "A Bootstrap Test for Conditional Symmetry," Annals of Economics and Finance, Society for AEF, vol. 6(2), pages 251-261, November.
    37. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    38. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.
    39. Joseph Ngatchou-Wandji & Michel Harel, 2013. "A Cramér-von Mises test for symmetry of the error distribution in asymptotically stationary stochastic models," Statistical Inference for Stochastic Processes, Springer, vol. 16(3), pages 207-236, October.
    40. Francq, C. & Jiménez-Gamero, M.D. & Meintanis, S.G., 2017. "Tests for conditional ellipticity in multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 196(2), pages 305-319.
    41. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Can the electricity market be characterised by asymmetric behaviour?," Energy Policy, Elsevier, vol. 37(11), pages 4364-4372, November.
    42. Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
    43. Ivanović, Blagoje & Milošević, Bojana & Obradović, Marko, 2020. "Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting," Computational Statistics & Data Analysis, Elsevier, vol. 151(C).
    44. Zacharias Psaradakis & Marián Vávra, 2015. "A Quantile-based Test for Symmetry of Weakly Dependent Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 587-598, July.
    45. Halunga, Andreea G. & Orme, Chris D., 2009. "First-Order Asymptotic Theory For Parametric Misspecification Tests Of Garch Models," Econometric Theory, Cambridge University Press, vol. 25(2), pages 364-410, April.
    46. Corradi, Valentina & Swanson, Norman R., 2006. "Bootstrap conditional distribution tests in the presence of dynamic misspecification," Journal of Econometrics, Elsevier, vol. 133(2), pages 779-806, August.
    47. Delgado, Miguel A. & Song, Xiaojun, 2018. "Nonparametric tests for conditional symmetry," Journal of Econometrics, Elsevier, vol. 206(2), pages 447-471.
    48. Masayuki Hirukawa & Mari Sakudo, 2016. "Testing Symmetry of Unknown Densities via Smoothing with the Generalized Gamma Kernels," Econometrics, MDPI, vol. 4(2), pages 1-27, June.
    49. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    50. Chen Yi-Ting & Lin Chang-Ching, 2008. "On the Robustness of Symmetry Tests for Stock Returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(2), pages 1-40, May.
    51. Shujaat Naeem Azmi & Tasneem Khan & Wajahat Azmi & Naghma Azhar, 2023. "A panel cointegration analysis of linkages between international trade and tourism: case of India and South Asian Association for Regional Cooperation (SAARC) countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5157-5176, December.
    52. Mora, Juan, 2005. "Comparing distribution functions of errors in linear models: A nonparametric approach," Statistics & Probability Letters, Elsevier, vol. 73(4), pages 425-432, July.
    53. Chen Yi-Ting, 2003. "Testing Serial Independence against Time Irreversibility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-30, October.
    54. Delgado, Miguel A. & Velasco, Carlos, 2005. "Sign tests for long-memory time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 215-251, October.
    55. Delgado, Miguel A. & Carlos Escanciano, J., 2007. "Nonparametric tests for conditional symmetry in dynamic models," Journal of Econometrics, Elsevier, vol. 141(2), pages 652-682, December.

  64. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    See citations under working paper version above.
  65. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    See citations under working paper version above.
  66. Serena Ng & Francisco J. Ruge-Murcia, 2000. "Explaining the Persistence of Commodity Prices," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 149-171, October.
    See citations under working paper version above.
  67. Michaelides, Alexander & Ng, Serena, 2000. "Estimating the rational expectations model of speculative storage: A Monte Carlo comparison of three simulation estimators," Journal of Econometrics, Elsevier, vol. 96(2), pages 231-266, June.
    See citations under working paper version above.
  68. Lumsdaine, Robin L. & Ng, Serena, 1999. "Testing for ARCH in the presence of a possibly misspecified conditional mean," Journal of Econometrics, Elsevier, vol. 93(2), pages 257-279, December.
    See citations under working paper version above.
  69. Eric Ghysels & Serena Ng, 1998. "A Semiparametric Factor Model Of Interest Rates And Tests Of The Affine Term Structure," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 535-548, November.
    See citations under working paper version above.
  70. Perron, Pierre & Ng, Serena, 1998. "An Autoregressive Spectral Density Estimator At Frequency Zero For Nonstationarity Tests," Econometric Theory, Cambridge University Press, vol. 14(5), pages 560-603, October.
    See citations under working paper version above.
  71. Garcia, Rene & Lusardi, Annamaria & Ng, Serena, 1997. "Excess Sensitivity and Asymmetries in Consumption: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 154-176, May.
    See citations under working paper version above.
  72. Ng, Serena & Perron, Pierre, 1997. "Estimation and inference in nearly unbalanced nearly cointegrated systems," Journal of Econometrics, Elsevier, vol. 79(1), pages 53-81, July.
    See citations under working paper version above.
  73. Ng, Serena, 1996. "Looking for evidence of speculative stockholding in commodity markets," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 123-143.
    See citations under working paper version above.
  74. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
    See citations under working paper version above.
  75. Serena Ng & Pierre Perron, 1996. "The Exact Error In Estimating The Spectral Density At The Origin," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(4), pages 379-408, July.
    See citations under working paper version above.
  76. Ng, Serena & Schaller, Huntley, 1996. "The Risky Spread, Investment, and Monetary Policy Transmission: Evidence on the Role of Asymmetric Information," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 375-383, August.
    See citations under working paper version above.
  77. Ng, Serena, 1995. "Testing for Homogeneity in Demand Systems When the Regressors Are Nonstationary," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 147-163, April-Jun.
    See citations under working paper version above.
  78. Ng, Serena, 1995. "Testing for unit roots in flow data sampled at different frequencies," Economics Letters, Elsevier, vol. 47(3-4), pages 237-242, March.

    Cited by:

    1. Waldemar Florczak, 2012. "Instytucjonalne uwarunkowania przestępczości w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 97-126.
    2. Chambers, Marcus J., 2004. "Testing for unit roots with flow data and varying sampling frequency," Journal of Econometrics, Elsevier, vol. 119(1), pages 1-18, March.
    3. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    5. Matthias Lutz, 2002. "Beyond Burgernomics and MacParity: Exchange Rate Forecasts Based on the Law of One Price," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D4-1, International Conferences on Panel Data.
    6. Onour, Ibrahim, 2009. "Rational bubbles and volatility persistence in India stock market," MPRA Paper 18545, University Library of Munich, Germany.
    7. Arghyrou, Michael G. & Gadea, Maria Dolores, 2012. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 16-34.
    8. Sabate, Marcela & Gadea, Maria Dolores & Escario, Regina, 2006. "Does fiscal policy influence monetary policy? The case of Spain, 1874-1935," Explorations in Economic History, Elsevier, vol. 43(2), pages 309-331, April.
    9. Otero, Jesus & Smith, Jeremy, 2000. "Testing for cointegration: power versus frequency of observation -- further Monte Carlo results," Economics Letters, Elsevier, vol. 67(1), pages 5-9, April.
    10. Cunado, J. & Gil-Alana, L.A. & de Gracia, F. Perez, 2005. "A test for rational bubbles in the NASDAQ stock index: A fractionally integrated approach," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2633-2654, October.
    11. S Cook, 2001. "Finite-sample critical values of the Augmented Dickey-Fuller statistic: a note on lag order," Economic Issues Journal Articles, Economic Issues, vol. 6(2), pages 31-46, September.
    12. Sabate, Marcela & Gadea, Maria Dolores & Serrano, Jose Maria, 2003. "PPP and structural breaks. The peseta-sterling rate, 50 years of a floating regime," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 613-627, October.
    13. Taylor, Alan M, 2001. "Potential Pitfalls for the Purchasing-Power-Parity Puzzle? Sampling and Specification Biases in Mean-Reversion Tests of the Law of One Price," Econometrica, Econometric Society, vol. 69(2), pages 473-498, March.
    14. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    15. Jesús Otero & Theodore Panagiotidis & Georgios Papapanagiotou, 2021. "Testing for exuberance in house prices using data sampled at different frequencies," Working Paper series 21-13, Rimini Centre for Economic Analysis.

Chapters

  1. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Jean-Jacques Forneron & Serena Ng, 2016. "A Likelihood-Free Reverse Sampler of the Posterior Distribution," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 389-415, Emerald Group Publishing Limited.

    Cited by:

    1. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    2. Forneron, Jean-Jacques, 2024. "Estimation and inference by stochastic optimization," Journal of Econometrics, Elsevier, vol. 238(2).
    3. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.

  3. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.

    Cited by:

    1. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    2. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
    3. Konstantin Styrin, 2019. "Forecasting Inflation in Russia Using Dynamic Model Averaging," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 3-18, March.
    4. Liao, Jun & Zou, Guohua & Gao, Yan & Zhang, Xinyu, 2021. "Model averaging prediction for time series models with a diverging number of parameters," Journal of Econometrics, Elsevier, vol. 223(1), pages 190-221.
    5. Konstantin Styrin, 2018. "Forecasting inflation in Russia by Dynamic Model Averaging," Bank of Russia Working Paper Series wps39, Bank of Russia.
    6. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
    8. 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.
    9. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    10. Zhang, Yongli & Yang, Yuhong, 2015. "Cross-validation for selecting a model selection procedure," Journal of Econometrics, Elsevier, vol. 187(1), pages 95-112.
    11. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    12. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    13. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2018. "Economic predictions with big data: the illusion of sparsity," Staff Reports 847, Federal Reserve Bank of New York.
    14. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2019. "Mixed-Frequency Models for Tracking Short-Term Economic Developments in Switzerland," International Journal of Central Banking, International Journal of Central Banking, vol. 15(2), pages 151-178, June.
    15. Tu, Yundong & Xie, Xinling, 2023. "Penetrating sporadic return predictability," Journal of Econometrics, Elsevier, vol. 237(1).
    16. Lodewijks, John & Stokes, Anthony & Wright, Sarah, 2016. "Economics: An elite subject soon only available in elite universities?," International Review of Economics Education, Elsevier, vol. 23(C), pages 1-9.
    17. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    18. Peng, Jingfu & Yang, Yuhong, 2022. "On improvability of model selection by model averaging," Journal of Econometrics, Elsevier, vol. 229(2), pages 246-262.
    19. Buncic, Daniel & Tischhauser, Martin, 2017. "Macroeconomic factors and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 621-644.
    20. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    21. Boot, Tom & Nibbering, Didier, 2019. "Forecasting using random subspace methods," Journal of Econometrics, Elsevier, vol. 209(2), pages 391-406.
    22. Xun Lu & Liangjun Su, 2014. "Jackknife Model Averaging for Quantile Regressions," Working Papers 11-2014, Singapore Management University, School of Economics.
    23. Valerio Della Corte & Claire Giordano, 2021. "Methodological issues in the estimation of current account imbalances," Questioni di Economia e Finanza (Occasional Papers) 617, Bank of Italy, Economic Research and International Relations Area.
    24. Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
    25. Zhenzhong Wang & Zhengyuan Zhu & Cindy Yu, 2020. "Variable Selection in Macroeconomic Forecasting with Many Predictors," Papers 2007.10160, arXiv.org.
    26. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
    27. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    28. Chu‐An Liu & Biing‐Shen Kuo, 2016. "Model averaging in predictive regressions," Econometrics Journal, Royal Economic Society, vol. 19(2), pages 203-231, June.
    29. Embaye, Weldensie T. & Zereyesus, Yacob A., 2017. "Measuring the value of housing services in household surveys: an application of machine learning approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252851, Southern Agricultural Economics Association.

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