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Natalia Bailey

Citations

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Working papers

  1. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2020. "Measurement of Factor Strenght: Theory and Practice," CESifo Working Paper Series 8146, CESifo.

    Cited by:

    1. Pesaran, M. H. & Smith, R. P., 2023. "The Role of Pricing Errors in Linear Asset Pricing Models with Strong, Semi-strong, and Latent Factors," Cambridge Working Papers in Economics 2317, Faculty of Economics, University of Cambridge.
    2. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    3. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
    4. 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.
    5. 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.
    6. Daniele Massacci & Lucio Sarno & Lorenzo Trapani & Pierluigi Vallarino, 2025. "A general randomized test for Alpha," Papers 2507.17599, arXiv.org, revised May 2026.
    7. Jianqing Fan & Yuling Yan & Yuheng Zheng, 2024. "When can weak latent factors be statistically inferred?," Papers 2407.03616, arXiv.org, revised Sep 2024.
    8. M Hashem Pesaran & Takashi Yamagata, 2024. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 407-460.
    9. Choi, In & Lin, Rui & Shin, Yongcheol, 2023. "Canonical correlation-based model selection for the multilevel factors," Journal of Econometrics, Elsevier, vol. 233(1), pages 22-44.
    10. Peiyun Jiang & Takashi Yamagata, 2025. "An alternative bootstrap procedure for factor-augmented regression models," Papers 2510.00947, arXiv.org.
    11. Peiyun Jiang & Yoshimasa Uematsu & Takashi Yamagata, 2025. "Bias Correction in Factor-Augmented Regression Models with Weak Factors," Papers 2509.02066, arXiv.org, revised Oct 2025.
    12. Songnian Chen & Junlong Feng, 2025. "Universal Factor Models," Papers 2501.15761, arXiv.org, revised Feb 2026.
    13. Liyuan Cui & Yongmiao Hong & Yingxing Li & Junhui Wang, 2024. "A Regularized High-Dimensional Positive Definite Covariance Estimator with High-Frequency Data," Management Science, INFORMS, vol. 70(10), pages 7242-7264, October.
    14. Pesaran, M. Hashem & Smith, Ron P., 2023. "Arbitrage pricing theory, the stochastic discount factor and estimation of risk premia from portfolios," Econometrics and Statistics, Elsevier, vol. 26(C), pages 17-30.
    15. Anna Bykhovskaya & Vadim Gorin & Sasha Sodin, 2025. "How weak are weak factors? Uniform inference for signal strength in signal plus noise models," Papers 2507.18554, arXiv.org, revised Feb 2026.
    16. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    17. M. Hashem Pesaran & Run Smith, 2021. "Arbitrage pricing theory, the stochastic discount factor and estimation of risk premia in portfolios," BCAM Working Papers 2108, Birkbeck Centre for Applied Macroeconomics.

  2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.

    Cited by:

    1. Enzo D'Innocenzo & André Lucas & Anne Opschoor & Xingmin Zhang, 2024. "Heterogeneity and dynamics in network models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 150-173, January.
    2. Schneiter, Pierre & Mellon-Bedi, Shaibu, 2025. "The Environmental Kuznets Curve Revisited: A Spatial Panel Model with Heterogeneous Coefficients," Energy Economics, Elsevier, vol. 143(C).
    3. Süreyya Özöğür Akyüz & Birsen Eygi Erdogan & Özlem Yıldız & Pınar Karadayı Ataş, 2023. "A Novel Hybrid House Price Prediction Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 1215-1232, October.
    4. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    5. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    6. Li, Junbao & Shi, Zhanzhong & He, Chengying & Lv, Chengshuang, 2023. "Peer effects on corporate R&D investment policies: A spatial panel model approach," Journal of Business Research, Elsevier, vol. 158(C).
    7. Kamiar Mohaddes & Ryan N C Ng & M Hashem Pesaran & Mehdi Raissi & Jui-Chung Yang, 2023. "Climate change and economic activity: evidence from US states," Oxford Open Economics, Oxford University Press, vol. 2, pages 28-46.
    8. Guo, Shujian & Xu, Zhiduan & Ruanzhou, Yilong, 2025. "Are strong neighbors good neighbors? “Doing business” spatial spillover effects and policy learning," Journal of International Money and Finance, Elsevier, vol. 158(C).
    9. 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.
    10. Francesco Giordano & Marcella Niglio & Maria Lucia Parrella, 2024. "Testing Spatial Dynamic Panel Data Models with Heterogeneous Spatial and Regression Coefficients," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(5), pages 771-799, September.
    11. Anil K. Bera & Osman Doğan & Süleyman Taşpınar & Monalisa Sen, 2020. "Specification tests for spatial panel data models," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-39, December.
    12. Galina Hale & Julian di Giovanni, 2020. "Stock Market Spillovers Via the Global Production Network: Transmission of U.S. Monetary Policy," Working Papers 1213, Barcelona School of Economics.
    13. Keisuke Kondo, 2022. "Spatial dependence in regional business cycles: evidence from Mexican states," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-46, December.
    14. Yang, Senmiao & Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Wang, Kun & Fu, Xiaowen, 2024. "Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective," Energy, Elsevier, vol. 300(C).
    15. Osman Doğan & Ye Yang & Süleyman Taşpınar, 2025. "Integrated modified harmonic mean method for spatial panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(4), pages 689-719, December.
    16. Yicong Lin & André Lucas & Shiqi Ye, 2025. "Matrix-Valued Spatial Autoregressions with Dynamic and Robust Heterogeneous Spillovers," Tinbergen Institute Discussion Papers 25-042/III, Tinbergen Institute.
    17. Sebastian Kripfganz & Vasilis Sarafidis, 2026. "Chasing Opportunity: Spillovers and Drivers of U.S. State Population Growth," Papers 2601.10444, arXiv.org.
    18. Tomohiro Ando & Jushan Bai & Kunpeng Li & Yong Song, 2025. "Bayesian inference for dynamic spatial quantile models with interactive effects," Papers 2503.00772, arXiv.org, revised Jun 2025.
    19. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    20. Marius C. O. Amba & Julie Gallo, 2022. "Specification and estimation of a periodic spatial panel autoregressive model," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-34, December.
    21. R. Kelley Pace & Raffaella Calabrese, 2022. "Ignoring Spatial and Spatiotemporal Dependence in the Disturbances Can Make Black Swans Appear Grey," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 1-21, July.
    22. 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.
    23. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    24. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    25. Roy Cerqueti & Pierpaolo D’Urso & Raffaele Mattera, 2025. "Fuzzy group fixed-effects estimation with spatial clustering," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(4), pages 721-752, December.
    26. Jin Seo Cho & Matthew Greenwood-Nimmo & Yongcheol Shin, 2021. "Recent Developments of the Autoregressive Distributed Lag Modelling Framework," Working papers 2021rwp-186, Yonsei University, Yonsei Economics Research Institute.
    27. Candelon, Bertrand & Luisi, Angelo, 2025. "Testing for the Interconnection channel," LIDAM Discussion Papers LFIN 2025005, Université catholique de Louvain, Louvain Finance (LFIN).
    28. Giuseppe Feo & Francesco Giordano & Sara Milito & Marcella Niglio & Maria Lucia Parrella, 2025. "Clustering and classification of spatio-temporal data using spatial dynamic panel data models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(2), pages 387-435, June.
    29. Tiia‐Maria Pasanen & Miikka Voutilainen & Jouni Helske & Harri Högmander, 2022. "A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1282-1302, November.
    30. Vasilios Plakandaras & Ioannis Pragidis & Paris Karypidis, 2024. "Deciphering the U.S. metropolitan house price dynamics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(2), pages 434-485, March.
    31. 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.
    32. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    33. Guo, Juncong & Qu, Xi, 2020. "Fixed effects spatial panel data models with time-varying spatial dependence," Economics Letters, Elsevier, vol. 196(C).
    34. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    35. Ye Yang & Osman Doğan & Süleyman Taşpınar, 2023. "Observed-data DIC for spatial panel data models," Empirical Economics, Springer, vol. 64(3), pages 1281-1314, March.
    36. Tatsuru Kikuchi, 2025. "Stochastic Boundaries in Spatial General Equilibrium: A Diffusion-Based Approach to Causal Inference with Spillover Effects," Papers 2508.06594, arXiv.org.
    37. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2023. "Time-varying impacts of monetary policy uncertainty on China's housing market," Economic Modelling, Elsevier, vol. 118(C).
    38. Ando, Tomohiro & Li, Kunpeng & Lu, Lina, 2023. "A spatial panel quantile model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 232(1), pages 191-213.
    39. F. Blasques & P. Gorgi & S. J. Koopman & J. Sampi, 2023. "Does trade integration imply growth in Latin America? Evidence from a dynamic spatial spillover model," Tinbergen Institute Discussion Papers 23-007/IVI, Tinbergen Institute.

  3. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2018. "Exponent of Cross-sectional Dependence for Residuals," CESifo Working Paper Series 7223, CESifo.

    Cited by:

    1. Keil, Sascha, 2024. "Competing for manufacturing value added: How strong is competitive cost pressure on sectoral level?," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 197-212.
    2. Ibrahim Mohamed Ali Ali & Sherine Boshra Ghaly, 2026. "Structural changes and environmental degradation: new insights from a nonparametric approach," Economic Change and Restructuring, Springer, vol. 59(2), pages 1-38, April.
    3. Telila, Henok Fasil, 2023. "Frontier markets sovereign risk: New evidence from spatial econometric models," Finance Research Letters, Elsevier, vol. 58(PD).
    4. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    5. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2020. "Measurement of Factor Strenght: Theory and Practice," CESifo Working Paper Series 8146, CESifo.
    6. Chulan Lasantha Kukule Nawarathna, 2025. "Female Labor Force Participation and Sustainable Development: A Global Study," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 2417-2438, May.
    7. Sébastien Mary, 2026. "Revisiting US food aid and civil conflict," Empirical Economics, Springer, vol. 70(3), pages 1-31, March.
    8. Arnab Bhattacharjee & Tapabrata Maiti, 2019. "P. C. Mahalanobis in the Context of Current Econometrics Research," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 1-11, September.
    9. Chulan Lasantha Kukule Nawarathna, 2025. "The Nexus Between Female Labor Force Participation and Economic Development: A Global Study Across the Phases of Demographic Dividends," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(15), pages 426-449, April.
    10. Yu-Ke, Chen & Hassan, Muhammad Shahid & Kalim, Rukhsana & Mahmood, Haider & Arshed, Noman & Salman, Muhammad, 2022. "Testing asymmetric influence of clean and unclean energy for targeting environmental quality in environmentally poor economies," Renewable Energy, Elsevier, vol. 197(C), pages 765-775.
    11. Tullio Gregori & Marco Giansoldati, 2023. "Do current and capital account liberalizations affect economic growth in the long run?," Empirical Economics, Springer, vol. 65(1), pages 247-273, July.
    12. Arnab Bhattacharjee & Sean Holly & Jan Ditzen, 2021. "Spatial and Spatio-Temporal Error Correction Networks and Common Correlated Effects," National Institute of Economic and Social Research (NIESR) Discussion Papers 526, National Institute of Economic and Social Research.
    13. Chulan Lasantha Kukule Nawarathna, 2025. "The Impact of Female Labor Force Participation on Enhancing Human Development Throughout the Stages of Global Demographic Dividends," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(4), pages 580-605, April.
    14. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    15. Henok Fasil Telila, 2024. "Frontier markets sovereign risk: New evidence from spatial econometric models," French Stata Users' Group Meetings 2024 10, Stata Users Group.
    16. Valizadeh, Pourya & Fischer, Bart L. & Bryant, Henry L., 2022. "Investigating the Differential Effects of the Economy on SNAP Participation: A Factor Model Approach," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322367, Agricultural and Applied Economics Association.
    17. Pami Dua & Neha Verma, 2024. "Dynamics of Capital Flows and Global Factors: Case of Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 22(4), pages 945-975, December.
    18. Floros Flouros & Victoria Pistikou & Vasilios Plakandaras, 2022. "Geopolitical Risk as a Determinant of Renewable Energy Investments," Energies, MDPI, vol. 15(4), pages 1-21, February.
    19. 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.

  4. Natalia Bailey & Liudas Giraitis, 2015. "Spectral Approach to Parameter-Free Unit Root Testing," Working Papers 746, Queen Mary University of London, School of Economics and Finance.

    Cited by:

    1. Gennadi Gromykov & Mohamedou Ould Haye & Anne Philippe, 2018. "A frequency-domain test for long range dependence," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 513-526, October.

  5. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2015. "Quasi Maximum Likelihood Estimation of Spatial Models with Heterogeneous Coefficients," CESifo Working Paper Series 5428, CESifo.

    Cited by:

    1. Junyue Wu & Yasumasa Matsuda, 2021. "A threshold extension of spatial dynamic panel model with fixed effects," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-30, December.
    2. Schneiter, Pierre & Mellon-Bedi, Shaibu, 2025. "The Environmental Kuznets Curve Revisited: A Spatial Panel Model with Heterogeneous Coefficients," Energy Economics, Elsevier, vol. 143(C).
    3. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    4. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    5. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    6. Margaretic, Paula & Cifuentes, Rodrigo & Carreño, José Gabriel, 2021. "Banks’ interconnections and peer effects: Evidence from Chile," Research in International Business and Finance, Elsevier, vol. 58(C).
    7. Elhorst, J. Paul & Gross, Marco & Tereanu, Eugen, 2018. "Spillovers in space and time: where spatial econometrics and Global VAR models meet," Working Paper Series 2134, European Central Bank.
    8. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    9. Sebastian Langer, 2019. "Expenditure interactions between municipalities and the role of agglomeration forces: a spatial analysis for North Rhine-Westphalia," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 497-527, June.
    10. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    11. LeSage, James P. & Chih, Yao-Yu, 2016. "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, vol. 142(C), pages 1-5.
    12. Yang, Cynthia Fan, 2017. "Common Factors and Spatial Dependence: An Application to US House Prices," MPRA Paper 89032, University Library of Munich, Germany, revised 20 Aug 2018.
    13. LeSage, James P. & Vance, Colin & Chih, Yao-Yu, 2017. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 46-55.
    14. Lesage, James P. & Vance, Colin & Chih, Yao-Yu, 2016. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry," Ruhr Economic Papers 617, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Niko Hauzenberger & Michael Pfarrhofer, 2019. "Bayesian state-space modeling for analyzing heterogeneous network effects of US monetary policy," Papers 1911.06206, arXiv.org, revised Sep 2020.
    16. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.
    17. Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
    18. Edoardo Otranto & Massimo Mucciardi, 2019. "Clustering space-time series: FSTAR as a flexible STAR approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 175-199, March.
    19. Yulu Wang & Subal C. Kumbhakar, 2025. "COVID-19 under-reporting: spillovers and stringent containment strategies of global cases," Journal of Productivity Analysis, Springer, vol. 63(1), pages 87-106, February.
    20. Corinne Autant-Bernard & James P. LeSage, 2018. "A heterogeneous coefficient approach to the knowledge production function," Working Papers 1814, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    21. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    22. Ming-Yu Deng & Levent Kutlu, 2025. "Spatial stochastic frontier model with stochastic weighting matrix," Empirical Economics, Springer, vol. 69(5), pages 2783-2815, November.
    23. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    24. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    25. E. Otranto & Mucciardi, 2017. "Clustering Space-Time Series: A Flexible STAR Approach," Working Paper CRENoS 201707, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  6. Natalia Bailey & Vanessa Smith & M. Hashem Pesaran, 2014. "A multiple testing approach to the regularisation of large sample correlation matrices," Cambridge Working Papers in Economics 1413, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2018. "Exponent of cross-sectional dependence for residuals," Monash Econometrics and Business Statistics Working Papers 13/18, Monash University, Department of Econometrics and Business Statistics.
    2. Rebucci, Alessandro & Acalin, Julien, 2020. "Global Business and Financial Cycles: A Tale of Two Capital Account Regimes," CEPR Discussion Papers 15190, Centre for Economic Policy Research.
    3. Alexander Chudik & M. Hashem Pesaran & Mahrad Sharifvaghefi, 2023. "Variable Selection in High Dimensional Linear Regressions with Parameter Instability," CESifo Working Paper Series 10223, CESifo.
    4. Bufan Li & Lujia Bai & Weichi Wu, 2025. "Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values," Papers 2512.10467, arXiv.org, revised Dec 2025.
    5. Pesaran, M. H. & Smith, R. P., 2023. "The Role of Pricing Errors in Linear Asset Pricing Models with Strong, Semi-strong, and Latent Factors," Cambridge Working Papers in Economics 2317, Faculty of Economics, University of Cambridge.
    6. Chudik, A. & Pesaran, H. & Mohaddes, K., 2018. "Identifying Global and National Output and Fiscal Policy Shocks Using a GVAR," Cambridge Working Papers in Economics 1874, Faculty of Economics, University of Cambridge.
    7. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
    8. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2022. "Revisiting the Great Ratios Hypothesis," CESifo Working Paper Series 9625, CESifo.
    9. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2020. "Measurement of Factor Strenght: Theory and Practice," CESifo Working Paper Series 8146, CESifo.
    10. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2020. "Estimation of large dimensional conditional factor models in finance," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 219-282, Elsevier.
    11. Elhorst, J. Paul & Gross, Marco & Tereanu, Eugen, 2018. "Spillovers in space and time: where spatial econometrics and Global VAR models meet," Working Paper Series 2134, European Central Bank.
    12. Alexander Chudik & George Kapetanios & M. Hashem Pesaran, 2016. "Big Data Analytics: A New Perspective," CESifo Working Paper Series 5824, CESifo.
    13. 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.
    14. 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.
    15. Alexander Chudik & George Kapetanios & M. Hashem Pesaran, 2016. "A one-covariate at a time, multiple testing approach to variable selection in high-dimensional linear regression models," Globalization Institute Working Papers 290, Federal Reserve Bank of Dallas.
    16. di Mauro, Filippo & Dées, Stéphane & Al-Haschimi, Alexander & Jančoková, Martina, 2014. "Linking distress of financial institutions to macrofinancial shocks," Working Paper Series 1749, European Central Bank.
    17. M Hashem Pesaran & Takashi Yamagata, 2024. "Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 407-460.
    18. Yang, Cynthia Fan, 2017. "Common Factors and Spatial Dependence: An Application to US House Prices," MPRA Paper 89032, University Library of Munich, Germany, revised 20 Aug 2018.
    19. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    20. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2018. "Uncertainty and Economic Activity: A Multi-Country Perspective," NBER Working Papers 24325, National Bureau of Economic Research, Inc.
    21. Ben Craig & Martín Saldías, 2016. "Spatial Dependence and Data-Driven Networks of International Banks," IMF Working Papers 2016/184, International Monetary Fund.
    22. Yigit Aydede & Jan Ditzen, 2022. "Identifying the regional drivers of influenza-like illness in Nova Scotia with dominance analysis," Papers 2212.06684, arXiv.org.
    23. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    24. Feng, Long & Lan, Wei & Liu, Binghui & Ma, Yanyuan, 2022. "High-dimensional test for alpha in linear factor pricing models with sparse alternatives," Journal of Econometrics, Elsevier, vol. 229(1), pages 152-175.
    25. Richard Luger, 2024. "Regularizing stock return covariance matrices via multiple testing of correlations," Papers 2407.09696, arXiv.org.
    26. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    27. Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2020. "Estimation of High-Dimensional Dynamic Conditional Precision Matrices with an Application to Forecast Combination," Working Papers 202012, University of California at Riverside, Department of Economics.
    28. M. Hashem Pesaran & Ron P. Smith, 2021. "Factor Strengths, Pricing Errors, and Estimation of Risk Premia," CESifo Working Paper Series 8947, CESifo.
    29. Natalia Bailey & Sean Holly & N. Hashem Pesaran, 2013. "A Two Stage Approach to Spatiotemporal Analysis with Strong and weak cross Sectional Dependence," Cambridge Working Papers in Economics 1362, Faculty of Economics, University of Cambridge.
    30. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    31. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.
    32. 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.

  7. Natalia Bailey & Sean Holly & N. Hashem Pesaran, 2013. "A Two Stage Approach to Spatiotemporal Analysis with Strong and weak cross Sectional Dependence," Cambridge Working Papers in Economics 1362, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Antonio Musolesi & Giada Andrea Prete & Michel Simioni, 2025. "Is infrastructure capital really productive? Nonparametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," Journal of Productivity Analysis, Springer, vol. 64(3), pages 439-455, December.
    2. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    3. 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.
    4. Melanie Krause & Sebastian Kripfganz, 2025. "Regional Dependencies and Local Spillovers: Insights From Commuter Flows," Journal of Regional Science, Wiley Blackwell, vol. 65(3), pages 565-585, June.
    5. Candelon, Bertrand & Luisi , Angelo & Roccazzella, Francesco, 2021. "Fragmentation in the European Monetary Union: Is it really over?," LIDAM Discussion Papers LFIN 2021015, Université catholique de Louvain, Louvain Finance (LFIN).
    6. Liqian Cai & Arnab Bhattacharjee & Roger Calantone & Taps Maiti, 2019. "Variable Selection with Spatially Autoregressive Errors: A Generalized Moments LASSO Estimator," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 146-200, September.
    7. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    8. Achim Ahrens & Arnab Bhattacharjee, 2015. "Two-Step Lasso Estimation of the Spatial Weights Matrix," Econometrics, MDPI, vol. 3(1), pages 1-28, March.
    9. Alejandro Almeida & Antonio Golpe & Raquel Justo, 2021. "From hot to cold: A spatial analysis of self‐employment in the United States," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1005-1023, August.
    10. Arnab Bhattacharjee & Adrian Pabst & Tibor Szendrei & Geoffrey J. D. Hewings, 2023. "NiReMS: A Regional Model at Household Level Combining Spatial Econometrics with Dynamic Microsimulation," National Institute of Economic and Social Research (NIESR) Discussion Papers 547, National Institute of Economic and Social Research.
    11. Karamysheva, Madina & Seregina, Ekaterina, 2022. "Prudential policies and systemic risk: The role of interconnections," Journal of International Money and Finance, Elsevier, vol. 127(C).
    12. Niesr, 2022. "Forecast tables," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 5, pages 45-53.
    13. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    14. Lenoel, Cyrille & Macqueen, Rory & Mortimer-Lee, Paul & Patel, Urvish & Whyte, Kemar, 2022. "Covid-19 leaves inflation in its wake," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 5, pages 5-28.
    15. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
    16. Masayoshi Hayashi & Wataru Yamamoto, 2017. "Information sharing, neighborhood demarcation, and yardstick competition: an empirical analysis of intergovernmental expenditure interaction in Japan," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(1), pages 134-163, February.
    17. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    18. Margaretic, Paula & Cifuentes, Rodrigo & Carreño, José Gabriel, 2021. "Banks’ interconnections and peer effects: Evidence from Chile," Research in International Business and Finance, Elsevier, vol. 58(C).
    19. Halleck Vega, Solmaria & Elhorst, J. Paul, 2016. "A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 85-95.
    20. Elhorst, J. Paul & Gross, Marco & Tereanu, Eugen, 2018. "Spillovers in space and time: where spatial econometrics and Global VAR models meet," Working Paper Series 2134, European Central Bank.
    21. Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
    22. Dalhaus, Tatjana & Schaumburg, Julia & Sekhposyan, Tatevik, 2021. "Networking the yield curve: implications for monetary policy," Working Paper Series 2532, European Central Bank.
    23. Sudatta Bharati Mohapatra & Nirmal Chandra Kar, 2022. "Revisiting the Long-Run Dynamic Linkage between Dividends and Share Price with Advanced Panel Econometrics Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    24. 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.
    25. Marc Francke & Lyndsey Rolheiser & Alex Minne, 2025. "Estimating Census Tract House Price Indexes: A New Spatial Dynamic Factor Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 70(3), pages 483-514, April.
    26. George Grekousis & Stelios Gialis, 2019. "More Flexible Yet Less Developed? Spatio-Temporal Analysis of Labor Flexibilization and Gross Domestic Product in Crisis-Hit European Union Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 505-524, June.
    27. Cun, Wukuang & Pesaran, M. Hashem, 2022. "A spatiotemporal equilibrium model of migration and housing interlinkages," Journal of Housing Economics, Elsevier, vol. 57(C).
    28. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    29. Bhattacharjee, Arnab & Pabst, Adrian & Mosley, Max & Szendrei, Tibor, 2022. "UK Regional Outlook: Autumn 2021," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 5, pages 29-40.
    30. Paula Margaretic & Sebastián Becerra, 2017. "Dispersed Information and Sovereign Risk Premia," Working Papers Central Bank of Chile 808, Central Bank of Chile.
    31. Ruge-Leiva, Diego-Ivan, 2014. "International R&D Spillovers and Unobserved Common Shocks," MPRA Paper 56718, University Library of Munich, Germany.
    32. Daniel Bernhofen & Markus Eberhardt & Jianan Li & Stephen Morgan, 2015. "Assessing Market (Dis)Integration in Early Modern China and Europe," Discussion Papers 2015-12, University of Nottingham, GEP.
    33. Jindo Jeong, 2024. "Discontinuities in regional economic development due to administrative boundaries: Examining the mechanisms of the boundary effect," Environment and Planning B, , vol. 51(6), pages 1227-1247, July.
    34. di Mauro, Filippo & Dées, Stéphane & Al-Haschimi, Alexander & Jančoková, Martina, 2014. "Linking distress of financial institutions to macrofinancial shocks," Working Paper Series 1749, European Central Bank.
    35. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).
    36. Rossi, Francesca & Lieberman, Offer, 2023. "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, vol. 235(2), pages 1770-1798.
    37. Carlo Ciccarelli & Jean Paul Elhorst, 2016. "A Spatial Diffusion Model with Common Factors and an Application to Cigarette Consumption," CEIS Research Paper 381, Tor Vergata University, CEIS, revised 31 May 2016.
    38. Yang, Cynthia Fan, 2017. "Common Factors and Spatial Dependence: An Application to US House Prices," MPRA Paper 89032, University Library of Munich, Germany, revised 20 Aug 2018.
    39. Bhattacharjee, Arnab & Lisauskaite, Elena & Pabst, Adrian, 2021. "UK regional outlook," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 42-57.
    40. Román Mínguez & Roberto Basile & María Durbán, 2020. "An alternative semiparametric model for spatial panel data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 669-708, December.
    41. Chi‐Young Choi & Horag Choi & Alexander Chudik, 2020. "Regional inequality in the U.S.: Evidence from city‐level purchasing power," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 738-774, September.
    42. Deborah Gefang & Stephen G Hall & George S. Tavlas, 2025. "Estimating unrestricted spatial interdependence in panel spatial autoregressive models with latent common factors," Papers 2510.22399, arXiv.org.
    43. Osman Doğan & Ye Yang & Süleyman Taşpınar, 2025. "Integrated modified harmonic mean method for spatial panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 109(4), pages 689-719, December.
    44. Vincent, Rose Camille & Osei Kwadwo, Victor, 2022. "Spatial interdependence and spillovers of fiscal grants in Benin: Static and dynamic diffusions," World Development, Elsevier, vol. 158(C).
    45. Jungyoon Lee & Peter C.B. Phillips & Francesca Rossi, 2020. "Consistent Misspecification Testing in Spatial Autoregressive Models," Cowles Foundation Discussion Papers 2256, Cowles Foundation for Research in Economics, Yale University.
    46. Niesr, 2021. "Overview," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 1-4.
    47. Deborah Gefang & Stephen G. Hall & George S. Tavlas, 2023. "Identifying spatial interdependence in panel data with large N and small T," Papers 2309.03740, arXiv.org.
    48. J. B. Qian, 2016. "Estimation of Panel Model with Spatial Autoregressive Error and Common Factors," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 367-399, March.
    49. George Grekousis, 2018. "Further Widening or Bridging the Gap? A Cross-Regional Study of Unemployment across the EU Amid Economic Crisis," Sustainability, MDPI, vol. 10(6), pages 1-18, May.
    50. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.
    51. Kucuk, Hande & Lenoel, Cyrille & MacQueen, Rory, 2021. "Brisk but not better growth," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 5-32.
    52. Kapetanios, George & Price, Simon & Tasiou, Menelaos & Ventouri, Alexia, 2021. "State-level wage Phillips curves," Econometrics and Statistics, Elsevier, vol. 18(C), pages 1-11.
    53. B Ferreira Neto, Amir, 2018. "Do public libraries impact local labor markets? Evidence from Appalachia," MPRA Paper 89584, University Library of Munich, Germany.
    54. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    55. Josep Lluís Carrion-i-Silvestre & Laura Surdeanu, 2016. "Productivity, Infrastructure and Human Capital in the Spanish Regions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 365-391, October.
    56. Roccazzella, Francesco & Candelon, Bertrand, 2022. "Should we care about ECB inflation expectations?," LIDAM Discussion Papers LFIN 2022004, Université catholique de Louvain, Louvain Finance (LFIN).
    57. Candelon, Bertrand & Luisi, Angelo, 2025. "Testing for the Interconnection channel," LIDAM Discussion Papers LFIN 2025005, Université catholique de Louvain, Louvain Finance (LFIN).
    58. Greenaway-McGrevy, Ryan & Hood, Kyle K., 2016. "Worker migration or job creation? Persistent shocks and regional recoveries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 1-16.
    59. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    60. Capasso, Salvatore & D'Uva, Marcella & Fiorelli, Cristiana & Napolitano, Oreste, 2023. "Cross-border Italian sovereign risk transmission in EMU countries," Economic Modelling, Elsevier, vol. 126(C).
    61. Matteo Fragetta & Roberto Tamborini, 2017. "It’s not austerity. Or is it? Assessing the effect of austerity on growth in Europe, 2010-15," DEM Working Papers 2017/10, Department of Economics and Management.
    62. Chadha, Jagjit S., 2021. "Foreward," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 1-3.
    63. Julián Ramajo & José Manuel Cordero & Miguel Ángel Márquez, 2017. "European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis," Journal of Geographical Systems, Springer, vol. 19(4), pages 319-348, October.
    64. Gopal K. Basak & Arnab Bhattacharjee & Samarjit Das, 2018. "Causal ordering and inference on acyclic networks," Empirical Economics, Springer, vol. 55(1), pages 213-232, August.
    65. Soberon, Alexandra & Mazzanti, Massimiliano & Musolesi, Antonio & Rodriguez-Poo, Juan M., 2025. "Efficient estimation of a partially linear panel data model with cross-sectional dependence," Journal of Multivariate Analysis, Elsevier, vol. 206(C).
    66. Millo, Giovanni, 2017. "A simple randomization test for spatial correlation in the presence of common factors and serial correlation," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 28-38.
    67. Arnab Bhattacharjee & Chris Higson & Sean Holly, 2015. "Operating Leverage over the Business Cycle," Cambridge Working Papers in Economics 1535, Faculty of Economics, University of Cambridge.
    68. Giuseppe Feo & Francesco Giordano & Sara Milito & Marcella Niglio & Maria Lucia Parrella, 2025. "Clustering and classification of spatio-temporal data using spatial dynamic panel data models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 19(2), pages 387-435, June.
    69. Musolesi, Antonio & Prete, Giada Andrea & Simioni, Michel, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," TSE Working Papers 22-1335, Toulouse School of Economics (TSE).
    70. Ge, Shuyi & Li, Shaoran & Linton, Oliver, 2023. "News-implied linkages and local dependency in the equity market," Journal of Econometrics, Elsevier, vol. 235(2), pages 779-815.
    71. Mortimer-Lee, Paul & Gortz, Christoph & McGowan, Danny, 2022. "Box B: A Targeted Furlough Scheme to help the economy in downturns," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 5, pages 14-16.
    72. Bhattacharjee, A. & Ditzen, J. & Holly, S., 2020. "Spatial and Spatio-temporal Engle-Granger representations, Networks and Common Correlated Effects," Cambridge Working Papers in Economics 2075, Faculty of Economics, University of Cambridge.
    73. Román Mínguez & María L. & Roberto Basile, 2016. "Spatio-Temporal Autoregressive Semiparametric Model for the analysis of regional economic data," Working Papers LuissLab 16126, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    74. Zhang Zhen & Bhattacharjee Arnab & Marques João & Maiti Tapabrata, 2021. "Spatio-Temporal Patterns in Portuguese Regional Fertility Rates: A Bayesian Approach for Spatial Clustering of Curves," Journal of Official Statistics, Sciendo, vol. 37(3), pages 611-653, September.
    75. Mitze, Timo & Naveed, Amjad & Ahmad, Nisar, 2016. "International, intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 259-272.
    76. Natalia Bailey & M. Hashem Pesaran & L. Vanessa Smith, 2014. "A Multiple Testing Approach to the Regularisation of Large Sample Correlation Matrices," CESifo Working Paper Series 4834, CESifo.
    77. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    78. Bernard Fingleton, 2020. "Exploring Brexit with dynamic spatial panel models: some possible outcomes for employment across the EU regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 455-491, April.
    79. 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.
    80. Sermpinis, Georgios & Tsoukas, Serafeim & Zhang, Ping, 2018. "Modelling market implied ratings using LASSO variable selection techniques," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 19-35.
    81. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    82. Adem Yavuz Elveren & Cameron Davis & Josh Budd, 2022. "Panel Data Analysis of the Effects of Female Labor Force Participation on Profit Rates," International Econometric Review (IER), Economic Research Association, vol. 14(3), pages 97-106, September.
    83. Zhezhi Hou & Shunan Zhao & Subal C. Kumbhakar, 2025. "Revisiting the Productivity Effects of Public Capital," Empirical Economics, Springer, vol. 68(3), pages 1233-1264, March.
    84. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change," CIRANO Working Papers 2023s-01, CIRANO.
    85. Arnab Bhattacharjee & Sudipto Roy, 2019. "Abnormal Returns or Mismeasured Risk? Network Effects and Risk Spillover in Stock Returns," JRFM, MDPI, vol. 12(2), pages 1-13, March.
    86. Kucuk, Hande & Lenoel, Cyrille & MacQueen, Rory, 2021. "UK sectoral output," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 33-41.
    87. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    88. Evan Totty, 2017. "The Effect Of Minimum Wages On Employment: A Factor Model Approach," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1712-1737, October.
    89. Márcio Poletti Laurini, 2017. "A continuous spatio-temporal model for house prices in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 235-269, January.
    90. Sayan Chakraborty & Arnab Bhattacharjee & Taps Maiti, 2021. "Structural Factorization of Latent Adjacency Matrix, with an application to Auto Industry Networks," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 185-206, November.
    91. Niesr, 2021. "Appendix," National Institute UK Economic Outlook, National Institute of Economic and Social Research, issue 2, pages 58-66.
    92. Chi-Young Choi & Alexander Chudik, 2017. "Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data," Globalization Institute Working Papers 330, Federal Reserve Bank of Dallas.
    93. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    94. Xin Tian & Jan P.A.M. Jacobs & Jakob de Haan & J. Paul Elhorst & Jan Jacobs, 2026. "Modeling National Financial Cycles with Strong and Weak Cross-Sectional Dependence," CESifo Working Paper Series 12622, CESifo.
    95. Constantinescu, Mihnea & Lastauskas, Povilas, 2018. "The knotty interplay between credit and housing," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 241-266.
    96. Su, Liangjun & Wang, Wuyi & Xu, Xingbai, 2023. "Identifying latent group structures in spatial dynamic panels," Journal of Econometrics, Elsevier, vol. 235(2), pages 1955-1980.
    97. Stefano DellaVigna & Guido Imbens & Woojin Kim & David M. Ritzwoller, 2025. "Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation," Papers 2504.13295, arXiv.org.
    98. Antonio Musolesi & Giada Andrea Prete & Michel Simioni, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," SEEDS Working Papers 0522, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Mar 2022.
    99. Duran, Nicolas & Elhorst, J. Paul, 2017. "A Spatio-temporal-similarity and Common Factor Approach of Individual Housing Prices," Research Report 2018007-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    100. Carlomagno Real, Guillermo & Espasa, Antoni, 2017. "Discovering pervasive and non-pervasive common cycles," DES - Working Papers. Statistics and Econometrics. WS 25392, Universidad Carlos III de Madrid. Departamento de Estadística.
    101. Gábor Márk Pellényi, 2019. "Regional Spillovers in the Hungarian Housing Market: Evidence from a Spatio-Temporal Model," European Economy - Discussion Papers 095, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    102. 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.

  8. Bailey, N. & Kapetanios, G. & Pesaran, M. H., 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," Cambridge Working Papers in Economics 1206, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2014. "Uncertainty and Economic Activity: A Global Perspective," CESifo Working Paper Series 4736, CESifo.
    2. Antonio Musolesi & Giada Andrea Prete & Michel Simioni, 2025. "Is infrastructure capital really productive? Nonparametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," Journal of Productivity Analysis, Springer, vol. 64(3), pages 439-455, December.
    3. Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
    4. Ca' Zorzi, Michele & Dieppe, Alistair & Chudik, Alexander, 2012. "The perils of aggregating foreign variables in panel data models," Working Paper Series 1444, European Central Bank.
    5. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    6. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Bakas, Dimitrios & Mendieta-Muñoz, Ivan, 2020. "Financial crises and economic recovery: Cross-country heterogeneity and cross-sectional dependence," Economics Letters, Elsevier, vol. 195(C).
    8. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2018. "Exponent of cross-sectional dependence for residuals," Monash Econometrics and Business Statistics Working Papers 13/18, Monash University, Department of Econometrics and Business Statistics.
    9. Masako Ikegami & Zijian Wang, 2024. "Does energy technology R&D save energy in OECD countries?," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-22, April.
    10. Herrera Gomez Marcos & Fernández Pablo, 2023. "Regresiones SUR Espaciales. Análisis espacio-temporal del empleo sectorial en Argentina," Asociación Argentina de Economía Política: Working Papers 4660, Asociación Argentina de Economía Política.
    11. Jorge V. Pérez-Rodríguez & Heiko Rachinger & Rafael Suárez-Vega, 2024. "Is peer-to-peer demand cointegrated at the listing level?," Empirical Economics, Springer, vol. 66(5), pages 2249-2275, May.
    12. Rama Cont & Lakshithe Wagalath, 2012. "Fire Sales Forensics: Measuring Endogenous Risk," Working Papers hal-00697224, HAL.
    13. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    14. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    15. M. Hashem Pesaran & Qiankun Zhou, 2015. "To Pool or not to Pool: Revisited," CESifo Working Paper Series 5410, CESifo.
    16. Matthieu Bussiere & Alexander Chudik & Giulia Sestieri, 2012. "Modelling global trade flows: results from a GVAR model," Globalization Institute Working Papers 119, Federal Reserve Bank of Dallas.
    17. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    18. Kumar, Naveen & Maiti, Dibyendu, 2025. "Climate change, state capacity and uneven growth: A disaggregated analysis of India," Economic Modelling, Elsevier, vol. 153(C).
    19. Yoshimasa Uematsu & Takashi Yamagata, 2019. "Estimation of Weak Factor Models," ISER Discussion Paper 1053r, Institute of Social and Economic Research, The University of Osaka, revised Mar 2020.
    20. Ibrahim Mohamed Ali Ali & Sherine Boshra Ghaly, 2026. "Structural changes and environmental degradation: new insights from a nonparametric approach," Economic Change and Restructuring, Springer, vol. 59(2), pages 1-38, April.
    21. Pesaran, H. & Yang, Cynthia Fan, 2016. "Econometric Analysis of Production Networks with Dominant Units," Cambridge Working Papers in Economics 1678, Faculty of Economics, University of Cambridge.
    22. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    23. Chudik, A. & Pesaran, H. & Mohaddes, K., 2018. "Identifying Global and National Output and Fiscal Policy Shocks Using a GVAR," Cambridge Working Papers in Economics 1874, Faculty of Economics, University of Cambridge.
    24. Alexander Chudik & M. Hashem Pesaran, 2011. "Aggregation in large dynamic panels," Globalization Institute Working Papers 101, Federal Reserve Bank of Dallas.
    25. Manuela Fritz, 2022. "Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-30, December.
    26. Eberhardt, Markus & Vollrath, Dietrich, 2016. "The Role of Crop Type in Cross-Country Income Differences," CEPR Discussion Papers 11248, Centre for Economic Policy Research.
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    28. Syed A. Basher & Josep Lluis Carrión-i-Silvestre, 2008. "Deconstructing Shocks and Persistence in OECD Real Exchange Rates," Working Papers XREAP2008-06, Xarxa de Referència en Economia Aplicada (XREAP), revised Jun 2008.
    29. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2020. "Measurement of Factor Strenght: Theory and Practice," CESifo Working Paper Series 8146, CESifo.
    30. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
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    37. 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.
    38. Abduljalil Misbah Jummah Ahfeeth & Ayşem Çelebi, 2025. "Environmental Fines and Corporate Sustainability: The Moderating Role of Governance, Firm Size, and Institutional Ownership," Sustainability, MDPI, vol. 17(20), pages 1-23, October.
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    45. Paula Margaretic & Sebastián Becerra, 2017. "Dispersed Information and Sovereign Risk Premia," Working Papers Central Bank of Chile 808, Central Bank of Chile.
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    59. Pesaran, M. Hashem, 2012. "Testing Weak Cross-Sectional Dependence in Large Panels," IZA Discussion Papers 6432, IZA Network @ LISER.
    60. Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2015. "An investigation into multivariate variance ratio statistics and their application to stock market predictability," CeMMAP working papers CWP13/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    63. Tullio Gregori & Marco Giansoldati, 2023. "Do current and capital account liberalizations affect economic growth in the long run?," Empirical Economics, Springer, vol. 65(1), pages 247-273, July.
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    67. Pesaran, M. Hashem & Yamagata, Takashi, 2012. "Testing CAPM with a Large Number of Assets," IZA Discussion Papers 6469, IZA Network @ LISER.
    68. Ambrogio Cesa-Bianchi & M. Hashem Pesaran & Alessandro Rebucci, 2018. "Uncertainty and Economic Activity: A Multi-Country Perspective," NBER Working Papers 24325, National Bureau of Economic Research, Inc.
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    73. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    74. Pesaran, M. H. & Yamagata, T., 2012. "Testing CAPM with a Large Number of Assets (Updated 28th March 2012)," Cambridge Working Papers in Economics 1210, Faculty of Economics, University of Cambridge.
    75. Floro, Danvee & van Roye, Björn, 2015. "Threshold Effects of Financial Stress on Monetary Policy Rules: A Panel Data Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112840, Verein für Socialpolitik / German Economic Association.
    76. 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.
    77. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    78. Capasso, Salvatore & D'Uva, Marcella & Fiorelli, Cristiana & Napolitano, Oreste, 2023. "Cross-border Italian sovereign risk transmission in EMU countries," Economic Modelling, Elsevier, vol. 126(C).
    79. Soberon, Alexandra & Mazzanti, Massimiliano & Musolesi, Antonio & Rodriguez-Poo, Juan M., 2025. "Efficient estimation of a partially linear panel data model with cross-sectional dependence," Journal of Multivariate Analysis, Elsevier, vol. 206(C).
    80. Anna Bykhovskaya & Vadim Gorin & Sasha Sodin, 2025. "How weak are weak factors? Uniform inference for signal strength in signal plus noise models," Papers 2507.18554, arXiv.org, revised Feb 2026.
    81. Bellocca, Gian Pietro Enzo & Garrón Vedia, Ignacio & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2026. "The empirical distribution of sequential LS factors in Multi-level Dynamic Factor Models," DES - Working Papers. Statistics and Econometrics. WS 49336, Universidad Carlos III de Madrid. Departamento de Estadística.
    82. Musolesi, Antonio & Prete, Giada Andrea & Simioni, Michel, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," TSE Working Papers 22-1335, Toulouse School of Economics (TSE).
    83. Gregori, Tullio & Tiwari, Aviral Kumar, 2020. "Do urbanization, income, and trade affect electricity consumption across Chinese provinces?," Energy Economics, Elsevier, vol. 89(C).
    84. Demetrescu, Matei & Leppin, Julian Sebastian & Reitz, Stefan, 2017. "Homogenous vs. heterogenous transition functions in smooth transition regressions: A LM-type test," Kiel Working Papers 2094, Kiel Institute for the World Economy.
    85. Peter Backus & Thien Nguyen, 2021. "The Effect of the Sex Buyer Law on the Market for Sex, Sexual Health and Sexual Violence," Economics Discussion Paper Series 2106, Economics, The University of Manchester.
    86. Gyimah, Daniel & Danso, Albert & Adu-Ameyaw, Emmanuel & Boateng, Agyenim, 2022. "Firm-level political risk and corporate leverage decisions," International Review of Financial Analysis, Elsevier, vol. 84(C).
    87. Kapetanios, George & Serlenga, Laura & Shin, Yongcheol, 2021. "Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 504-531.
    88. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    89. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    90. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    91. Chaisri Tarasawatpipat & Witthaya Mekhum, 2021. "Rethinking the Reasons of Greenhouse Gases Emission in ASEAN Countries: Finding Reasons in Urbanization, Industrialization and Population Growth," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 544-550.
    92. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    93. Valizadeh, Pourya & Fischer, Bart L. & Bryant, Henry L., 2022. "Investigating the Differential Effects of the Economy on SNAP Participation: A Factor Model Approach," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322367, Agricultural and Applied Economics Association.
    94. Deng, Qiu Shi & Alvarado, Rafael & Cuesta, Lizeth & Tillaguango, Brayan & Murshed, Muntasir & Rehman, Abdul & Işık, Cem & López-Sánchez, Michelle, 2022. "Asymmetric impacts of foreign direct investment inflows, financial development, and social globalization on environmental pollution," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 236-251.
    95. M. Hashem Pesaran & Ron P. Smith, 2021. "Factor Strengths, Pricing Errors, and Estimation of Risk Premia," CESifo Working Paper Series 8947, CESifo.
    96. Ben Youssef, Slim, 2025. "The relationships between political stability, arms imports, oil exports, and GHG emissions: a CS-DL approach for eight Gulf countries," MPRA Paper 124791, University Library of Munich, Germany.
    97. Pesaran, M. Hashem & Yang, Cynthia Fan, 2021. "Estimation and inference in spatial models with dominant units," Journal of Econometrics, Elsevier, vol. 221(2), pages 591-615.
    98. Bai, Jushan & Liao, Yuan, 2016. "Efficient estimation of approximate factor models via penalized maximum likelihood," Journal of Econometrics, Elsevier, vol. 191(1), pages 1-18.
    99. Le, Ha Chi & Bhattacharya, Mita & Smyth, Russell & Zhang, Xibin, 2025. "The impact of R&D on energy consumption: Evidence from nonlinear semi-parametric estimations for selected OECD countries," Energy Economics, Elsevier, vol. 149(C).
    100. Natalia Bailey & Sean Holly & N. Hashem Pesaran, 2013. "A Two Stage Approach to Spatiotemporal Analysis with Strong and weak cross Sectional Dependence," Cambridge Working Papers in Economics 1362, Faculty of Economics, University of Cambridge.
    101. Arnoldo López-Marmolejo & Carlos Vladimir Rodríguez-Caballero & Daniel Ventosa-Santaulà ria, 2021. "Remittances at record highs in Latin America: Time to revisit the Dutch disease," Economics Bulletin, AccessEcon, vol. 41(3), pages 2133-2146.
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    103. Camilla Mastromarco & Léopold Simar, 2026. "Nonparametric spatial frontier models for productivity analysis: evidence from EU regions," Journal of Productivity Analysis, Springer, vol. 65(2), pages 1-21, June.
    104. Chi-Young Choi & Alexander Chudik, 2017. "Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data," Globalization Institute Working Papers 330, Federal Reserve Bank of Dallas.
    105. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    106. Oguzhan Akgun & Alain Pirotte & Giovanni Urga & Zhenlin Yang, 2025. "Testing Clustered Equal Predictive Ability with Unknown Clusters," Papers 2507.14621, arXiv.org, revised Jul 2025.
    107. Xin Tian & Jan P.A.M. Jacobs & Jakob de Haan & J. Paul Elhorst & Jan Jacobs, 2026. "Modeling National Financial Cycles with Strong and Weak Cross-Sectional Dependence," CESifo Working Paper Series 12622, CESifo.
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    109. Alvarado, Rafael & Tillaguango, Brayan & Murshed, Muntasir & Ochoa-Moreno, Santiago & Rehman, Abdul & Işık, Cem & Alvarado-Espejo, Johana, 2022. "Impact of the informal economy on the ecological footprint: The role of urban concentration and globalization," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 750-767.
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Articles

  1. Natalia Bailey & Dandan Jiang & Jianfeng Yao, 2022. "A RMT-based LM test for error cross-sectional independence in large heterogeneous panel data models," Econometric Reviews, Taylor & Francis Journals, vol. 41(5), pages 564-582, June.

    Cited by:

    1. 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.

  2. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2021. "Measurement of factor strength: Theory and practice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 587-613, August.
    See citations under working paper version above.
  3. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2021. "Estimation and inference for spatial models with heterogeneous coefficients: An application to US house prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 18-44, January.
    See citations under working paper version above.
  4. Bailey, Natalia & Pesaran, M. Hashem & Smith, L. Vanessa, 2019. "A multiple testing approach to the regularisation of large sample correlation matrices," Journal of Econometrics, Elsevier, vol. 208(2), pages 507-534.
    See citations under working paper version above.
  5. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2019. "Exponent of Cross-sectional Dependence for Residuals," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 81(1), pages 46-102, September.
    See citations under working paper version above.
  6. Bailey, Natalia & Giraitis, Liudas, 2016. "Spectral approach to parameter-free unit root testing," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 4-16.
    See citations under working paper version above.
  7. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    See citations under working paper version above.
  8. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
    See citations under working paper version above.
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