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Jörg Breitung
(Joerg Breitung)

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.

Working papers

  1. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.

    Cited by:

  2. Jorg Breitung & Alexander Mayer & Dominik Wied, 2022. "Asymptotic Properties of Endogeneity Corrections Using Nonlinear Transformations," Papers 2207.09246, arXiv.org, revised Nov 2023.

    Cited by:

    1. Dominik Wied, 2022. "Semiparametric Distribution Regression with Instruments and Monotonicity," Papers 2212.03704, arXiv.org.

  3. Sven Otto & Jorg Breitung, 2020. "Backward CUSUM for Testing and Monitoring Structural Change with an Application to COVID-19 Pandemic Data," Papers 2003.02682, arXiv.org, revised Mar 2022.

    Cited by:

    1. Yannick Hoga & Matei Demetrescu, 2023. "Monitoring Value-at-Risk and Expected Shortfall Forecasts," Management Science, INFORMS, vol. 69(5), pages 2954-2971, May.

  4. Jörg Breitung & Ralf Brüggemann, 2019. "Projection estimators for structural impulse responses," Working Paper Series of the Department of Economics, University of Konstanz 2019-05, Department of Economics, University of Konstanz.

    Cited by:

    1. Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    2. José Luis Montiel Olea & Mikkel Plagborg‐Møller, 2021. "Local Projection Inference Is Simpler and More Robust Than You Think," Econometrica, Econometric Society, vol. 89(4), pages 1789-1823, July.

  5. Breitung, Jörg & Knüppel, Malte, 2018. "How far can we forecast? Statistical tests of the predictive content," Discussion Papers 07/2018, Deutsche Bundesbank.

    Cited by:

    1. Stamer, Vincent, 2022. "Thinking Outside the Container: A Sparse Partial Least Squares Approach to Forecasting Trade Flows," VfS Annual Conference 2022 (Basel): Big Data in Economics 264096, Verein für Socialpolitik / German Economic Association.
    2. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    3. Jean-Yves Pitarakis, 2023. "Direct Multi-Step Forecast based Comparison of Nested Models via an Encompassing Test," Papers 2312.16099, arXiv.org.
    4. Zhu, Tiantian & Haugen, Stein & Liu, Yiliu & Yang, Xue, 2023. "A value of prediction model to estimate optimal response time to threats for accident prevention," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    5. Carola Binder & Tucker S. Mcelroy & Xuguang S. Sheng, 2022. "The Term Structure of Uncertainty: New Evidence from Survey Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 39-71, February.
    6. Fabian Kruger & Hendrik Plett, 2022. "Prediction intervals for economic fixed-event forecasts," Papers 2210.13562, arXiv.org, revised Mar 2024.
    7. Cepni, Oguzhan & Clements, Michael P., 2024. "How local is the local inflation factor? Evidence from emerging European countries," International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
    8. Breitung, Jörg & Knüppel, Malte, 2018. "How far can we forecast? Statistical tests of the predictive content," Discussion Papers 07/2018, Deutsche Bundesbank.
    9. Suarez, Javier & ,, 2018. "The Procyclicality of Expected Credit Loss Provisions," CEPR Discussion Papers 13135, C.E.P.R. Discussion Papers.
    10. Marc-Oliver Pohle, 2020. "The Murphy Decomposition and the Calibration-Resolution Principle: A New Perspective on Forecast Evaluation," Papers 2005.01835, arXiv.org.
    11. M. Chudý & S. Karmakar & W. B. Wu, 2020. "Long-term prediction intervals of economic time series," Empirical Economics, Springer, vol. 58(1), pages 191-222, January.
    12. Kuethe, Todd H. & Regmi, Hari, 2023. "An Evaluation of Congressional Budget Office’s Baseline Projections of USDA Mandatory Farm and Nutrition Programs," 2023 Annual Meeting, July 23-25, Washington D.C. 335690, Agricultural and Applied Economics Association.
    13. Jörg Döpke & Karsten Müller & Lars Tegtmeier, 2023. "Moments of cross‐sectional stock market returns and the German business cycle," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(2), July.

  6. Jцrg Breitung & Christoph Wigger, 2017. "Alternative GMM estimators for spatial regression models," Working Paper Series in Economics 89, University of Cologne, Department of Economics.

    Cited by:

    1. Li, Liyao & Yang, Zhenlin, 2020. "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    2. Clive Egbert Coetzee & Ewert P. J. Kleynhans & Ewert P. J. Kleynhans, 2022. "The Effect of Spatial Unemployment on the Neighbouring Regions’ Economies: A Regional Case Study of KwaZulu-Natal in South Africa," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(4 (Winter), pages 401-431.

  7. Jörg Breitung & Sven Schreiber, 2016. "Assessing Causality and Delay within a Frequency Band," IMK Working Paper 165-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

    Cited by:

    1. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    2. Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for causality between climate policies and carbon emissions reduction," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Theologos Dergiades & Panos K. Pouliasis, 2021. "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series 2021_03, Department of Economics, University of Macedonia, revised Feb 2021.
    4. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    5. Jair N. Ojeda-Joya & Oscar Jaulin-Mendez & Juan C. Bustos-Peláez, 2015. "The Interdependence between Commodity-Price and GDP Cycles: A Frequency Domain Approach," Borradores de Economia 913, Banco de la Republica de Colombia.
    6. Daouda Coulibaly & Fulgence Zran Goueu, 2019. "An Empirical Analysis of the Link between Economic Growth and Exports in Côte d’Ivoire," International Business Research, Canadian Center of Science and Education, vol. 12(9), pages 94-104, September.
    7. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    8. Bernd Süssmuth, 2022. "The mutual predictability of Bitcoin and web search dynamics," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 435-454, April.
    9. Wei, Yanfeng & Zhang, Liguo & Guo, Xiaoying & Yang, Ting, 2021. "A theoretical and simulation analysis on the power of the frequency domain causality test," Statistics & Probability Letters, Elsevier, vol. 170(C).
    10. Süssmuth, Bernd, 2019. "Bitcoin and Web Search Query Dynamics: Is the price driving the hype or is the hype driving the price?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203566, Verein für Socialpolitik / German Economic Association.

  8. Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Till Strohsal & Christian R. Proaño & Jürgen Wolters, 2015. "How Do Financial Cycles Interact? Evidence from the US and the UK," SFB 649 Discussion Papers SFB649DP2015-024, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2015. "Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation," Working Papers wp2015_1502, CEMFI.
    3. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    4. Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
    5. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    6. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    7. Christian Menden & Christian R. Proaño, 2017. "Dissecting the financial cycle with dynamic factor models," IMK Working Paper 183-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    8. Laura E. Jackson & M. Ayhan Kose & Christopher Otrok & Michael T. Owyang, 2015. "Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement," Working Papers 2015-31, Federal Reserve Bank of St. Louis.
    9. Till Strohsal & Christian R. Proaño & Jürgen Wolters, 2017. "Assessing the Cross-Country Interaction of Financial Cycles: Evidence from a Multivariate Spectral Analysis of the US and the UK," IMK Working Paper 182-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    10. Rünstler, Gerhard & Vlekke, Marente, 2016. "Business, housing and credit cycles," Working Paper Series 1915, European Central Bank.
    11. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2015. "Turkiye icin Finansal Kosullar Endeksi," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 15(3), pages 41-73.
    12. Bonciani, Dario & Ricci, Martino, 2020. "The international effects of global financial uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    13. Li, Xiao-Lin & Yan, Jing & Wei, Xiaohui, 2021. "Dynamic connectedness among monetary policy cycle, financial cycle and business cycle in China," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 640-652.
    14. Hiebert, Paul & Peltonen, Tuomas A. & Schüler, Yves S., 2015. "Characterising the financial cycle: a multivariate and time-varying approach," Working Paper Series 1846, European Central Bank.
    15. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    16. 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.
    17. Bjarni G. Einarsson & Kristófer Gunnlaugsson & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2016. "The long history of financial boom-bust cycles in Iceland - Part II: Financial cycles," Economics wp72, Department of Economics, Central bank of Iceland.
    18. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.
    19. Schüler, Yves S. & Peltonen, Tuomas A. & Hiebert, Paul, 2017. "Coherent financial cycles for G-7 countries: Why extending credit can be an asset," ESRB Working Paper Series 43, European Systemic Risk Board.

  9. Hafner, Christian & Breitung, Jörg, 2014. "A simple model for now-casting volatility series," LIDAM Discussion Papers CORE 2014060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019. "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 222-237.
    2. Kejin Wu & Sayar Karmakar, 2023. "A model-free approach to do long-term volatility forecasting and its variants," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
    3. Ding, Yashuang (Dexter), 2023. "A simple joint model for returns, volatility and volatility of volatility," Journal of Econometrics, Elsevier, vol. 232(2), pages 521-543.
    4. Ding, Y., 2021. "Augmented Real-Time GARCH: A Joint Model for Returns, Volatility and Volatility of Volatility," Cambridge Working Papers in Economics 2112, Faculty of Economics, University of Cambridge.
    5. Kelvin Mutum, 2020. "Volatility Forecast Incorporating Investors’ Sentiment and its Application in Options Trading Strategies: A Behavioural Finance Approach at Nifty 50 Index," Vision, , vol. 24(2), pages 217-227, June.

  10. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.

    Cited by:

    1. 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.
    2. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    3. Christopher Otrok & Panayiotis M. Pourpourides, 2011. "On the Cyclicality of Real Wages and Wage Differentials," Working Papers 2011-4, Central Bank of Cyprus.
    4. Kaminska, Iryna & Vayanos, Dimitri & Zinna, Gabriele, 2011. "Preferred-habitat investors and the US term structure of real rates," LSE Research Online Documents on Economics 119074, London School of Economics and Political Science, LSE Library.
    5. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
    6. Corona, Francisco & Poncela, Pilar & Ruiz Ortega, Esther, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Tjeerd M. Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper, 2011. "Why didn't the Global Financial Crisis hit Latin America?," CIRANO Working Papers 2011s-63, CIRANO.
    8. 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.

  11. Breitung, Jörg & Schmeling, Maik, 2011. "Quantifying survey expectations: What's wrong with the probability approach?," Hannover Economic Papers (HEP) dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    4. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”," AQR Working Papers 201508, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2015.
    6. Hutson, Mark & Joutz, Fred & Stekler, Herman, 2014. "Interpreting and evaluating CESIfo's World Economic Survey directional forecasts," Economic Modelling, Elsevier, vol. 38(C), pages 6-11.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    8. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
    9. Swapnil Virendra Chalwadi & Preeti Tushar Joshi & Nitin Mohanlal Sharma & Chaitanya Gite & Sangita Salve, 2023. "Gender Differences in Inflation Expectations: Recent Evidence from India," Administrative Sciences, MDPI, vol. 13(2), pages 1-14, February.
    10. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    11. Christian Seiler, 2012. "On the Robustness of the Balance Statistics with respect to Nonresponse," ifo Working Paper Series 126, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    12. Abhiman Das & Kajal Lahiri & Yongchen Zhao, 2018. "Inflation Expectations in India: Learning from Household Tendency Surveys," Working Papers 2018-03, Towson University, Department of Economics, revised Aug 2018.
    13. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    14. Alex Botsis & Kevin Lee, 2022. "Nowcasting Using Firm-Level Survey Data; Tracking UK Output Fluctuations and Recessionary Events," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-20, Economic Statistics Centre of Excellence (ESCoE).

  12. Westerlund, Joakim & Breitung, Jörg, 2009. "Myths and Facts about Panel Unit Root Tests," Working Papers in Economics 380, University of Gothenburg, Department of Economics.

    Cited by:

    1. Herwartz, Helmut & Siedenburg, Florian, 2009. "The effects of variance breaks on homogenous panel unit root tests," Economics Working Papers 2009-07, Christian-Albrechts-University of Kiel, Department of Economics.
    2. M. Hashem Pesaran & L. Vanessa Smith & Takashi Yamagata, 2008. "Panel Unit Root Tests in the Presence of a Multifactor Error Structure," CESifo Working Paper Series 2193, CESifo.
    3. 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).

  13. Jorg Breitung & Gianluca Cubadda, 2009. "Testing for cointegration in high-dimensional systems," CEIS Research Paper 148, Tor Vergata University, CEIS, revised 30 Sep 2009.

    Cited by:

    1. Vishal Chandr Jaunky & Robert Lundmark, 2015. "Are Shocks to Wood Fuel Production Permanent? Evidence from the EU," Energies, MDPI, vol. 8(11), pages 1-11, November.
    2. Smeekes, S. & Urbain, J.R.Y.J., 2014. "A multivariate invariance principle for modified wild bootstrap methods with an application to unit root testing," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).

  14. Born, Benjamin & Breitung, Jörg, 2009. "Simple Regression Based Tests for Spatial Dependence," Bonn Econ Discussion Papers 23/2009, University of Bonn, Bonn Graduate School of Economics (BGSE).

    Cited by:

    1. Pennerstorfer, Astrid & Pennerstorfer, Dieter, 2019. "How small are small markets? Local market size for child care services," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 340-355.
    2. Zhenlin Yang, 2018. "Bootstrap LM tests for higher-order spatial effects in spatial linear regression models," Empirical Economics, Springer, vol. 55(1), pages 35-68, August.
    3. Berg, Tobias & Reisinger, Markus & Streitz, Daniel, 2021. "Spillover effects in empirical corporate finance," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1109-1127.
    4. Richard Harris & John Moffat & Victoria Kravtsova, 2011. "In Search of ‘ W ’," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(3), pages 249-270, February.
    5. Astrid Pennerstorfer & Dieter Pennerstorfer, 2018. "How Small are Small Markets? Location Choice and Geographical Market Size for Child Care Services," Economics working papers 2018-14, Department of Economics, Johannes Kepler University Linz, Austria.
    6. Zhenlin Yang, 2013. "LM Tests of Spatial Dependence Based on Bootstrap Critical Values," Working Papers 03-2013, Singapore Management University, School of Economics.
    7. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2011. "Estimation of the Spatial Weights Matrix under Structural Constraints," SIRE Discussion Papers 2011-48, Scottish Institute for Research in Economics (SIRE).
    8. Arnab Bhattacharjee & Eduardo Castro & João Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
    9. Badi H. Baltagi & Zhenlin Yang, 2013. "Standardized LM tests for spatial error dependence in linear or panel regressions," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 103-134, February.
    10. Bera Anil K. & Doğan Osman & Taşpınar Süleyman, 2019. "Testing Spatial Dependence in Spatial Models with Endogenous Weights Matrices," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-33, January.
    11. Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
    12. Jin, Fei & Lee, Lung-fei, 2018. "Outer-product-of-gradients tests for spatial autoregressive models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 35-57.
    13. Julie Le Gallo & Fernando A. López & Coro Chasco, 2020. "Testing for spatial group-wise heteroskedasticity in spatial autocorrelation regression models: Lagrange multiplier scan tests," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 287-312, April.
    14. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    15. Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.
    16. Riza Bayrak, Halim Tatli, 2018. "The Determinants of Youth Unemployment: A Panel Data Analysis of OECD Countries," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 15(2), pages 231-248, December.
    17. Ming He & Kuan-Pin Lin, 2015. "Testing in a Random Effects Panel Data Model with Spatially Correlated Error Components and Spatially Lagged Dependent Variables," Econometrics, MDPI, vol. 3(4), pages 1-36, November.
    18. Baltagi, Badi H. & Yang, Zhenlin, 2013. "Heteroskedasticity and non-normality robust LM tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 725-739.
    19. Deng, Mingyu & Wang, Mingxi, 2022. "Artificial regression test diagnostics for impact measures in spatial models," Economics Letters, Elsevier, vol. 217(C).
    20. 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.
    21. Zipeng Chen & Yongqiang Liu & Shuangshuang Tu, 2022. "Comprehensive Eco-Environmental Effects Caused by Land Use Transition from the Perspective of Production–Living–Ecological Spaces in a Typical Region: A Case Study of the Guangxi Zhuang Autonomous Reg," Land, MDPI, vol. 11(12), pages 1-22, November.
    22. He, Ming & Lin, Kuan-Pin, 2015. "Testing spatial effects and random effects in a nested panel data model," Economics Letters, Elsevier, vol. 135(C), pages 85-91.

  15. Breitung, Jörg & Eickmeier, Sandra, 2009. "Testing for structural breaks in dynamic factor models," Discussion Paper Series 1: Economic Studies 2009,05, Deutsche Bundesbank.

    Cited by:

    1. Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering," Econometrics, MDPI, vol. 6(4), pages 1-22, December.
    2. Badi Baltagi & Qu Feng & Chihwa Kao, 2019. "Structural Changes in Heterogeneous Panels with Endogenous Regressors," Center for Policy Research Working Papers 214, Center for Policy Research, Maxwell School, Syracuse University.
    3. 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.
    4. Jan Ditzen & Yiannis Karavias & Joakim Westerlund, 2023. "Multiple structural breaks in interactive effects panel data and the impace of quantitative easing on bank lending," Discussion Papers 23-02, Department of Economics, University of Birmingham.
    5. Matteo Barigozzi & Daniele Massacci, 2022. "Modelling Large Dimensional Datasets with Markov Switching Factor Models," Papers 2210.09828, arXiv.org, revised Dec 2023.
    6. 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.
    7. Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023. "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, vol. 233(1), pages 209-236.
    8. Matteo LUCIANI, "undated". "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers wp2010-7, Department of the Treasury, Ministry of the Economy and of Finance.
    9. Nektarios Aslanidis & Luke Hartigan, 2016. "Is the Assumption of Linearity in Factor Models too Strong in Practice?," Discussion Papers 2016-03, School of Economics, The University of New South Wales.
    10. Han, Xu & Inoue, Atsushi, 2015. "Tests For Parameter Instability In Dynamic Factor Models," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1117-1152, October.
    11. Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
    12. 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.
    13. Chou, Ray Yeutien & Yen, Tso-Jung & Yen, Yu-Min, 2020. "Macroeconomic forecasting using approximate factor models with outliers," International Journal of Forecasting, Elsevier, vol. 36(2), pages 267-291.
    14. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    15. Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016. "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers 194, Center for Policy Research, Maxwell School, Syracuse University.
    16. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    17. Nivín, Rafael & Pérez, Fernando, 2019. "Estimación de un Índice de Condiciones Financieras para el Perú," Working Papers 2019-006, Banco Central de Reserva del Perú.
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    55. Boysen-Hogrefe, Jens & Pape, Markus, 2011. "More than just one labor market cycle in Germany? : an analysis of regional unemployment data," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 44(3), pages 279-292.
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    63. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2016. "Estimation of heterogeneous panels with structural breaks," Journal of Econometrics, Elsevier, vol. 191(1), pages 176-195.
    64. Jakob Guldbæk Mikkelsen & Eric Hillebrand & Giovanni Urga, 2015. "Maximum Likelihood Estimation of Time-Varying Loadings in High-Dimensional Factor Models," CREATES Research Papers 2015-61, Department of Economics and Business Economics, Aarhus University.
    65. Abdou-Aziz Niang, 2017. "Testing economic convergence in non-stationary panel," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 135-156, March.
    66. 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.
    67. Takumah, Wisdom, 2023. "Fiscal Policy and Asset Prices in a Dynamic Factor Model with Cointegrated Factors," MPRA Paper 117897, University Library of Munich, Germany, revised 10 Jul 2023.
    68. Ma, Shujie & Su, Liangjun, 2018. "Estimation of large dimensional factor models with an unknown number of breaks," Journal of Econometrics, Elsevier, vol. 207(1), pages 1-29.
    69. 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.
    70. 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.
    71. Vasiliki Chatzikonstanti & Michail Karoglou, 2022. "Can black swans be tamed with a flexible mean‐variance specification?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3202-3227, July.
    72. Alessandro Casini & Pierre Perron, 2018. "Structural Breaks in Time Series," Boston University - Department of Economics - Working Papers Series WP2019-02, Boston University - Department of Economics.
    73. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    74. Yiannis Karavias & Elias Tzavalis, 2017. "Local power of panel unit root tests allowing for structural breaks," Econometric Reviews, Taylor & Francis Journals, vol. 36(10), pages 1123-1156, November.
    75. Norman R. Swanson, 2016. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 348-353, July.
    76. Fu, Zhonghao & Hong, Yongmiao & Wang, Xia, 2023. "Testing for structural changes in large dimensional factor models via discrete Fourier transform," Journal of Econometrics, Elsevier, vol. 233(1), pages 302-331.
    77. Steland, Ansgar, 2020. "Testing and estimating change-points in the covariance matrix of a high-dimensional time series," Journal of Multivariate Analysis, Elsevier, vol. 177(C).
    78. Joakim Westerlund & Sagarika Mishra, 2017. "On the determination of the number of factors using information criteria with data-driven penalty," Statistical Papers, Springer, vol. 58(1), pages 161-184, March.
    79. Yemba, Boniface P. & Otunuga, Olusegun Michael & Tang, Biyan & Biswas, Nabaneeta, 2023. "Nowcasting of the Short-run Euro-Dollar Exchange Rate with Economic Fundamentals and Time-varying Parameters," Finance Research Letters, Elsevier, vol. 52(C).
    80. Gary Koop & Dimitris Korobilis, 2013. "A new index of financial conditions," Working Papers 1307, University of Strathclyde Business School, Department of Economics.
    81. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    82. Luke Hartigan, 2015. "Changes in the Factor Structure of the U.S. Economy: Permanent Breaks or Business Cycle Regimes?," Discussion Papers 2015-17, School of Economics, The University of New South Wales.
    83. 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.
    84. Chen, Liang, 2015. "Estimating the common break date in large factor models," Economics Letters, Elsevier, vol. 131(C), pages 70-74.
    85. HORIE, Tetsushi & 堀江, 哲史 & YAMAMOTO, Yohei & 山本, 庸平, 2016. "Testing for Speculative Bubbles in Large-Dimensional Financial Panel Data Sets," Discussion Papers 2016-04, Graduate School of Economics, Hitotsubashi University.
    86. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2012. "Testing for Breaks in Cointegrated Panels," Center for Policy Research Working Papers 135, Center for Policy Research, Maxwell School, Syracuse University.
    87. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    88. Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
    89. Baltagi, Badi H. & Kao, Chihwa & Wang, Fa, 2016. "Estimating and testing high dimensional factor models with multiple structural changes," MPRA Paper 98489, University Library of Munich, Germany, revised 26 Jul 2019.
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  16. Schumacher, Christian & Breitung, Jörg, 2006. "Real-time forecasting of GDP based on a large factor model with monthly and quarterly data," Discussion Paper Series 1: Economic Studies 2006,33, Deutsche Bundesbank.

    Cited by:

    1. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33, October.
    2. De Graeve, F. & Kick, T. & Koetter, M., 2008. "Monetary policy and financial (in)stability: An integrated micro-macro approach," Journal of Financial Stability, Elsevier, vol. 4(3), pages 205-231, September.
    3. Darracq Pariès, Matthieu & Maurin, Laurent, 2008. "The role of country-specific trade and survey data in forecasting euro area manufacturing production: perspective from large panel factor models," Working Paper Series 894, European Central Bank.
    4. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    5. Angelini, Elena & Rünstler, Gerhard & Bańbura, Marta, 2008. "Estimating and forecasting the euro area monthly national accounts from a dynamic factor model," Working Paper Series 953, European Central Bank.
    6. Proietti, Tommaso, 2008. "Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and its Main Components," MPRA Paper 6860, University Library of Munich, Germany.
    7. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    8. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    9. De Graeve, Ferre & Kick, Thomas, 2008. "Monetary policy and bank distress: an integrated micro-macro approach," Discussion Paper Series 2: Banking and Financial Studies 2008,03, Deutsche Bundesbank.
    10. Muriel Nguiffo-Boyom, 2008. "A monthly indicator of Economic activity for Luxembourg," BCL working papers 31, Central Bank of Luxembourg.
    11. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
    12. 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.
    13. Dovern, Jonas & Ziegler, Christina, 2008. "Predicting growth rates and recessions: assessing US leading indicators under real-time conditions," Kiel Working Papers 1397, Kiel Institute for the World Economy (IfW Kiel).
    14. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    15. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    16. Klaus Abberger & Klaus Wohlrabe, 2006. "Forecasting qualities of the Ifo Business Climate Index - a look at recent studies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    17. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    18. Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.

  17. Sandra Eickmeier & Joerg Breitung, 2006. "Business cycle transmission from the euro area to CEECs," Computing in Economics and Finance 2006 229, Society for Computational Economics.

    Cited by:

    1. Alexe, Ileana & Tatomir, Cristina F., 2011. "Does economic convergence with the European Union mean more FDI flows to an economy? Analysis on 5 Central and Eastern Europe countries," MPRA Paper 36139, University Library of Munich, Germany.
    2. Mr. Francisco d Nadal De Simone & Alain N. Kabundi, 2007. "France in the Global Economy: A Structural Approximate Dynamic Factor Model Analysis," IMF Working Papers 2007/129, International Monetary Fund.

  18. Sandra Eickmeier & Joerg Breitung, 2005. "How Synchronized are Central and East European Economies with the Euro Area? Evidence from a Structural Factor model�," TWI Research Paper Series 14, Thurgauer Wirtschaftsinstitut, Universität Konstanz.

    Cited by:

    1. Ivan Todorov, 2012. "European Economic Integration Theories and Criteria," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 131-152.
    2. Christos S. Savva & Kyriakos C. Neanidis & Denise R. Osborn, 2007. "Business Cycle Synchronization of the Euro Area with the New and Negotiating Member Countries," Centre for Growth and Business Cycle Research Discussion Paper Series 91, Economics, The University of Manchester.
    3. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    4. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 27-42, March.
    5. Boysen-Hogrefe, Jens & Pape, Markus, 2011. "More than just one labor market cycle in Germany? : an analysis of regional unemployment data," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 44(3), pages 279-292.
    6. Christian Schulz, 2008. "Forecasting economic activity for Estonia : The application of dynamic principal component analyses," Bank of Estonia Working Papers 2008-02, Bank of Estonia, revised 30 Oct 2008.
    7. Jarko Fidrmuc & Iikka Korhonen, 2006. "Meta-Analysis of the Business Cycle Correlation between the Euro Area and the CEECs," CESifo Working Paper Series 1693, CESifo.
    8. Zuzana Brixiova & Margaret H. Morgan & Andreas Wörgötter, 2010. "On The Road to Euro: How Synchronized Is Estonia with the Euro zone?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 7(1), pages 203-227, June.
    9. Bartosz Maćkowiak, 2006. "How Much of the Macroeconomic Variation in Eastern Europe is Attributable to External Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 523-544, September.
    10. Kalina Durova, 2019. "Are the New Member States Ready to Join the Euro Area? A Business Cycle Perspective," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 72-95.
    11. Christian Schulz, 2007. "Forecasting economic growth for Estonia : application of common factor methodologies," Bank of Estonia Working Papers 2007-09, Bank of Estonia, revised 04 Sep 2007.
    12. Pasquale Foresti & Ugo Marani & Giuseppe Piroli, 2013. "Macroeconomic Dynamics in Four Selected New Member States of the EU," EERI Research Paper Series EERI RP 2013/14, Economics and Econometrics Research Institute (EERI), Brussels.
    13. Nenad Stanisic, 2013. "Convergence between the business cycles of Central and Eastern European countries and the Euro area," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 63-74, July.
    14. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    15. International Monetary Fund, 2007. "Euro Area Policies: Selected Issues," IMF Staff Country Reports 2007/259, International Monetary Fund.

  19. Breitung, Jörg & Eickmeier, Sandra, 2005. "Dynamic factor models," Discussion Paper Series 1: Economic Studies 2005,38, Deutsche Bundesbank.

    Cited by:

    1. C. Thubin & T. Ferrière & E. Monnet & M. Marx & V. Oung, 2016. "The PRISME model: can disaggregation on the production side help to forecast GDP?," Working papers 596, Banque de France.
    2. 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.
    3. 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.
    4. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    5. Marcellino, Massimiliano & Eickmeier, Sandra & Lemke, Wolfgang, 2011. "Classical time-varying FAVAR models - Estimation, forecasting and structural analysis," CEPR Discussion Papers 8321, C.E.P.R. Discussion Papers.
    6. Michał Brzoza-Brzezina & Jacek Kotłowski, 2009. "Bezwzględna stopa inflacji w gospodarce polskiej," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 1-21.
    7. Matteo LUCIANI, "undated". "Monetary Policy and the Housing Market: A Structural Factor Analysis," Working Papers wp2010-7, Department of the Treasury, Ministry of the Economy and of Finance.
    8. Alessandro Giovannelli, 2012. "Nonlinear Forecasting Using Large Datasets: Evidences on US and Euro Area Economies," CEIS Research Paper 255, Tor Vergata University, CEIS, revised 08 Nov 2012.
    9. Eliana González & . Luis F. Melo & Viviana Monroy & Brayan Rojas, 2009. "A Dynamic Factor Model for the Colombian Inflation," Borradores de Economia 549, Banco de la Republica de Colombia.
    10. 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.
    11. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    12. Erdemlioglu, Deniz, 2009. "Macro Factors in UK Excess Bond Returns: Principal Components and Factor-Model Approach," MPRA Paper 28895, University Library of Munich, Germany.
    13. 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.
    14. Eickmeier, Sandra & Hofmann, Boris, 2010. "Monetary policy, housing booms and financial (im)balances," Discussion Paper Series 1: Economic Studies 2010,07, Deutsche Bundesbank.
    15. Bräuning, Falk & Koopman, Siem Jan, 2014. "Forecasting macroeconomic variables using collapsed dynamic factor analysis," International Journal of Forecasting, Elsevier, vol. 30(3), pages 572-584.
    16. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2008. "Forecasting Macroeconomic Variables Using Diffusion Indexes in Short Samples with Structural Change," Working Papers 334, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
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    19. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
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    21. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
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    19. Marcus Kappler, 2009. "Do hours worked contain a unit root? Evidence from panel data," Empirical Economics, Springer, vol. 36(3), pages 531-555, June.
    20. Ali Hussein Samadi, 2019. "Institutions and entrepreneurship: unidirectional or bidirectional causality?," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-16, December.
    21. Mathias Klein, 2015. "Inequality and household debt: a panel cointegration analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 391-412, May.
    22. Dierk Herzer & Felicitas Nowak-Lehmann D. & Inmaculada Martínez-Zarzoso & Sebastian Vollmer, "undated". "On Distributed Lags in Dynamic Panel Data Models: Evidence from Market Shares," Working Papers on International Economics and Finance 06-05, FEDEA.
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    24. Barnes, Sebastian & Price, Simon & Sebastia Barriel, Maria, 2008. "The elasticity of substitution: evidence from a UK firm-level data set," Bank of England working papers 348, Bank of England.
    25. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    26. Joao Sousa Andrade & Marta Simões & Adelaide Duarte, 2016. "A thresholds analysis of growth, convergence and structural change in the EU: insights for Portugal," EcoMod2016 9690, EcoMod.
    27. Alfonso ARPAIA & Alessandro TURRINI, 2008. "Government Expenditure and Economic Growth in the EU: Long-Run Tendencies and Short-Term Adjustment," EcoMod2008 23800006, EcoMod.
    28. Ciżkowicz, Piotr & Rzońca, Andrzej, 2010. "Inflation and corporate investment in selected OECD countries in the years 1960-2005 – an empirical analysis," MPRA Paper 29846, University Library of Munich, Germany.
    29. Diego Romero-Ávila, 2007. "Unit roots and persistence in the nominal interest rate: a confirmatory analysis applied to the OECD," Canadian Journal of Economics, Canadian Economics Association, vol. 40(3), pages 980-1007, August.
    30. María del Carmen Ramos-Herrera & Simón Sosvilla-Rivero, 2020. "Fiscal Sustainability in Aging Societies: Evidence from Euro Area Countries," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    31. Schmidt, Torsten & Vosen, Simeon, 2010. "Demographic Change and the Labour Share of Income," Ruhr Economic Papers 165, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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    33. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    34. Carl Grekou, 2015. "Revisiting the nexus between currency misalignments and growth in the CFA Zone," Post-Print hal-01620178, HAL.
    35. Westerlund, Joakim & Larsson, Rolf, 2009. "A Note On The Pooling Of Individual Panic Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 25(6), pages 1851-1868, December.
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    75. Taimoor Arif Kiani & Samina Sabir & Unbreen Qayyum & Sohail Anjum, 2023. "Estimating the effect of technological innovations on environmental degradation: empirical evidence from selected ASEAN and SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6529-6550, July.
    76. Jamal G. HUSEIN & S. Murat KARA, 2023. "Are Shocks To Electricity Consumption Permanent Or Transitory? Evidence From A Panel Stationarity Test With Gradual Structural Breaks For 25 Oecd Countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 23(1), pages 57-76.
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    79. Claudia M. Buch & Paola Monti, 2008. "Openness and Income Dispaities: Does Trade Explain the 'Mezzogiorno' Effect?," IAW Discussion Papers 41, Institut für Angewandte Wirtschaftsforschung (IAW).
    80. Di Matteo, Livio & Cantarero-Prieto, David, 2018. "The Determinants of Public Health Expenditures: Comparing Canada and Spain," MPRA Paper 87800, University Library of Munich, Germany.
    81. 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.
    82. Farzana Munshi, 2012. "Does Openness Reduce Wage Inequality In Developing Countries? Panel Data Evidence From Bangladesh," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 57(02), pages 1-12.
    83. Bukowski, Maciej & Koloch, Grzegorz & Lewandowski, Piotr, 2008. "Shocks and rigidities as determinants of CEE labor markets' performance. A panel SVECM approach," MPRA Paper 12429, University Library of Munich, Germany.
    84. Aldasoro, Iñaki & Seiferling, Mike, 2014. "Vertical fiscal imbalances and the accumulation of government debt," SAFE Working Paper Series 61, Leibniz Institute for Financial Research SAFE.
    85. Sun QIANG & Adnan KHURSHID & Adrian Cantemir CALIN & Khalid KHAN, 2019. "Do Remittances Contribute to the Development of Financial Institutions? New Evidence from the Developing World," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 78-97, June.
    86. Grigoriev, A. & Sviridenko, M. & Uetz, M.J., 2005. "Machine scheduling with resource dependent processing times," Research Memorandum 050, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    87. Kais Mtar & Walid Belazreg, 2021. "Causal Nexus Between Innovation, Financial Development, and Economic Growth: the Case of OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 310-341, March.
    88. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany.
    89. JIMA, Meshesha Demie & MAKONI, Patricia L., 2022. "Determinants Of Financial Stability In Sub-Saharan Africa," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 26(3), pages 55-75, September.
    90. Urgaia R. Worku, 2022. "The Role of Endogenous Technology in Making Sustained Economic Growth in Sub‒Saharan Africa: Panel GMM and VECM Approaches," World Journal of Business and Management, Macrothink Institute, vol. 8(2), pages 1-24, December.
    91. 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.
    92. Kristian Jönsson, 2008. "The accuracy of normal approximation in a heterogeneous panel data unit root test," Statistical Papers, Springer, vol. 49(3), pages 565-579, July.
    93. Jorge José Luis Reynoso-González. & Adrián De León Arias., 2021. "Crecimiento económico y gasto público en salud según población objetivo en México. (Economic Growth and Public Spending on Health According to Target Population in Mexico)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 89-114, May.
    94. Felicitas Nowak-Lehmann D. & Dierk Herzer & Sebastian Vollmer & Inmaculada Martínez-Zarzoso, 2006. "Chile´s Market Share in the EU Market: The Role of Price Competition in a Panel Analysis Setting," Ibero America Institute for Econ. Research (IAI) Discussion Papers 139, Ibero-America Institute for Economic Research.
    95. Petr Novák, 2007. "Panel Data Analysis [Analýza panelových dat]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2007(1), pages 71-78.
    96. Claudia M. Buch & Paola Monti & Farid Toubal, 2008. "Trade's Impact on the Labor Share: Evidence from German and Italian Regions," IAW Discussion Papers 46, Institut für Angewandte Wirtschaftsforschung (IAW).
    97. Dridi, Jemma & Nguyen, Anh D. M., 2017. "Inflation Convergence In East African Countries," MPRA Paper 80393, University Library of Munich, Germany.
    98. Anuman Chanthawong & Therdchai Choibamroong, 2022. "Dynamic Linkages of Carbon Emissions, Economic Growth, Energy Consumption, Tourism Indicators and Population: Evidence from Second-tier Cities in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 61-72, September.
    99. Léonce Ndikumana & Sher Verick, 2007. "The Linkages between FDI and Domestic Investment: Unravelling the Developmental Impact of Foreign Investment," UMASS Amherst Economics Working Papers 2007-13, University of Massachusetts Amherst, Department of Economics.
    100. Kaddour Hadri & Yao Rao, 2008. "Panel Stationarity Test with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 245-269, April.
    101. Onel, Gulcan, 2009. "Modeling Nonlinearities in Farmland Values: A Dynamic Panel Threshold Error-Correction Model," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49445, Agricultural and Applied Economics Association.
    102. Mohamed Douch & Binyam Solomon, 2014. "Middle Powers And The Demand For Military Expenditures," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(6), pages 605-618, December.
    103. Russell Smyth, 2012. "Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production," Monash Economics Working Papers 04-12, Monash University, Department of Economics.
    104. Badi H. Baltagi & Chihwa Kao & Long Liu, 2007. "Asymptotic Properties of Estimators for the Linear Panel Regression Model with Individual Effects and Serially Correlated Errors: The Case of Stationary and Non-Stationary Regressors and Residuals," Center for Policy Research Working Papers 93, Center for Policy Research, Maxwell School, Syracuse University.
    105. Böhringer, Christoph & Moslener, Ulf & Oberndorfer, Ulrich & Ziegler, Andreas, 2012. "Clean and productive? Empirical evidence from the German manufacturing industry," Research Policy, Elsevier, vol. 41(2), pages 442-451.
    106. Jayasuriya, Sisira & Kim, Jae H. & Kumar, Parmod, 2007. "International and Internal Market Integration in Indian agriculture: A study of the Indian Rice Market," 106th Seminar, October 25-27, 2007, Montpellier, France 7935, European Association of Agricultural Economists.
    107. Anna Bottasso & Maurizio Conti, 2010. "The productive effect of transport infrastructures: does road transport liberalization matter?," Journal of Regulatory Economics, Springer, vol. 38(1), pages 27-48, August.
    108. Ajide, Kazeem & Ridwan, Ibrahim, 2018. "Energy consumption, environmental contaminants, and economic growth: The G8 experience," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 58-83.
    109. Di Matteo, Livio, 2014. "Physician numbers as a driver of provincial government health spending in Canadian health policy," Health Policy, Elsevier, vol. 115(1), pages 18-35.
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    111. Ndikumana, Leonce & Verick, Sher, 2008. "The Linkages between FDI and Domestic Investment: Unravelling the Developmental Impact of Foreign Investment in Sub-Saharan Africa," IZA Discussion Papers 3296, Institute of Labor Economics (IZA).
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    114. João Jungo & Mara Madaleno & Anabela Botelho, 2022. "The Effect of Financial Inclusion and Competitiveness on Financial Stability: Why Financial Regulation Matters in Developing Countries?," JRFM, MDPI, vol. 15(3), pages 1-20, March.
    115. David E. Rapach & Jack K. Strauss, 2006. "The long-run relationship between consumption and housing wealth in the Eighth District states," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Oct, pages 140-147.
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    120. Mr. Magnus Saxegaard & Mr. Stephane Roudet & Mr. Charalambos G Tsangarides, 2007. "Estimation of Equilibrium Exchange Rates in the WAEMU: A Robustness Analysis," IMF Working Papers 2007/194, International Monetary Fund.
    121. Paolo Agnolucci & Andrew Venn, 2011. "Industrial energy intensities in the UK: is there a deterministic or stochastic difference among sectors?," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1447-1462.
    122. Geldi, Hatice Kerra, 2012. "Trade effects of regional integration: A panel cointegration analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1566-1570.

  21. Eickmeier, Sandra & Breitung, Jörg, 2005. "How synchronized are central and east European economies with the euro area? Evidence from a structural factor model," Discussion Paper Series 1: Economic Studies 2005,20, Deutsche Bundesbank.

    Cited by:

    1. Ivan Todorov, 2012. "European Economic Integration Theories and Criteria," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 131-152.
    2. Christos S. Savva & Kyriakos C. Neanidis & Denise R. Osborn, 2007. "Business Cycle Synchronization of the Euro Area with the New and Negotiating Member Countries," Centre for Growth and Business Cycle Research Discussion Paper Series 91, Economics, The University of Manchester.
    3. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    4. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 27-42, March.
    5. Boysen-Hogrefe, Jens & Pape, Markus, 2011. "More than just one labor market cycle in Germany? : an analysis of regional unemployment data," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 44(3), pages 279-292.
    6. Christian Schulz, 2008. "Forecasting economic activity for Estonia : The application of dynamic principal component analyses," Bank of Estonia Working Papers 2008-02, Bank of Estonia, revised 30 Oct 2008.
    7. Jarko Fidrmuc & Iikka Korhonen, 2006. "Meta-Analysis of the Business Cycle Correlation between the Euro Area and the CEECs," CESifo Working Paper Series 1693, CESifo.
    8. Zuzana Brixiova & Margaret H. Morgan & Andreas Wörgötter, 2010. "On The Road to Euro: How Synchronized Is Estonia with the Euro zone?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 7(1), pages 203-227, June.
    9. Christa Randzio-Plath & Carsten Hefeker & Jarko Fidrmuc & Gunther Schnabl & Hermann Remsperger, 2006. "Enlargement of the Eurozone and its effect on the European economy?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 03-18, November.
    10. Bartosz Maćkowiak, 2006. "How Much of the Macroeconomic Variation in Eastern Europe is Attributable to External Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 523-544, September.
    11. Kalina Durova, 2019. "Are the New Member States Ready to Join the Euro Area? A Business Cycle Perspective," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 72-95.
    12. Christian Schulz, 2007. "Forecasting economic growth for Estonia : application of common factor methodologies," Bank of Estonia Working Papers 2007-09, Bank of Estonia, revised 04 Sep 2007.
    13. Pasquale Foresti & Ugo Marani & Giuseppe Piroli, 2013. "Macroeconomic Dynamics in Four Selected New Member States of the EU," EERI Research Paper Series EERI RP 2013/14, Economics and Econometrics Research Institute (EERI), Brussels.
    14. Nenad Stanisic, 2013. "Convergence between the business cycles of Central and Eastern European countries and the Euro area," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 63-74, July.
    15. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    16. International Monetary Fund, 2007. "Euro Area Policies: Selected Issues," IMF Staff Country Reports 2007/259, International Monetary Fund.

  22. Samarjit Das & Joerg Breitung, 2004. "Panel Unit Root Tests under Cross- sectional Dependence," Econometric Society 2004 North American Summer Meetings 55, Econometric Society.

    Cited by:

    1. Simplice A. Asongu & Nicholas M. Odhiambo, 2021. "Governance and renewable energy consumption in sub-Saharan Africa," Research Africa Network Working Papers 21/030, Research Africa Network (RAN).
    2. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "The Mobile Phone, Information Sharing and Financial Sector Development in Africa: A Quantile Regressions Approach," CEREDEC Working Papers 19/016, Centre de Recherche pour le Développement Economique (CEREDEC).
    3. Akihiko Kawaura & Sumner La Croix, 2016. "Integration Of North And South American Players In Japan'S Professional Baseball Leagues," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 1107-1130, August.
    4. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    5. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    6. Basher, Syed Abul & Elsamadisy, Elsayed Mousa, 2010. "Country Heterogeneity and Long-Run Determinants of Inflation in the Gulf Arab States," MPRA Paper 27348, University Library of Munich, Germany.
    7. Simplice A. Asongu & Joseph Nnanna & Paul N. Acha-Anyi, 2020. "The Openness Hypothesis in the Context of Economic Development in Sub-Saharan Africa: The Moderating Role of Trade Dynamics on FDI," Research Africa Network Working Papers 20/056, Research Africa Network (RAN).
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    Cited by:

    1. von Kalckreuth, Ulf & Murphy, Emma, 2005. "Financial constraints and capacity adjustment in the United Kingdom: Evidence from a large panel of survey data," Discussion Paper Series 1: Economic Studies 2005,01, Deutsche Bundesbank.
    2. von Kalckreuth, Ulf, 2000. "Exploring the role of uncertainty for corporate investment decisions in Germany," Discussion Paper Series 1: Economic Studies 2000,05, Deutsche Bundesbank.
    3. Oxana Babecka Kucharcukova & Renata Pasalicova, 2017. "Firm Investment, Financial Constraints and Monetary Transmission: An Investigation with Czech Firm-Level Data," Working Papers 2017/16, Czech National Bank.
    4. Seok-Kyun Hur, 2005. "Money Growth and Interest Rates," NBER Working Papers 11102, National Bureau of Economic Research, Inc.
    5. International Monetary Fund, 2008. "Benin: Selected Issues and Statistical Appendix," IMF Staff Country Reports 2008/084, International Monetary Fund.
    6. Ulf von Kalckreuth, 2005. "Financial constraints and real activity: a non-structural approach using UK survey data," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 64-80, Bank for International Settlements.
    7. Hyun-Euy Kim, 2007. "The Interest Rate Channel of Monetary Transmission under Low Inflation in Korea (in Korean)," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 13(1), pages 1-56, March.
    8. Marina Riem, 2016. "Corporate investment decisions under political uncertainty," ifo Working Paper Series 221, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Issouf Samaké, 2008. "Investment and Growth Dynamics: An Empirical Assessment Applied to Benin," IMF Working Papers 2008/120, International Monetary Fund.
    10. Ulf Von Kalckreuth, 2006. "Financial Constraints and Capacity Adjustment: Evidence from a Large Panel of Survey Data," Economica, London School of Economics and Political Science, vol. 73(292), pages 691-724, November.

  24. Nautz, Dieter & Linzert, Tobias & Breitung, Jörg, 2003. "Bidder Behavior in Repo Auctions without Minimum Bid Rate: Evidence from the Bundesbank," Discussion Paper Series 1: Economic Studies 2003,13, Deutsche Bundesbank.

    Cited by:

    1. Ben R. Craig & Falko Fecht, 2006. "The Eurosystem money market auctions: a banking perspective," Working Papers (Old Series) 0506, Federal Reserve Bank of Cleveland.
    2. Nautz, Dieter & Oechssler, Jörg, 2003. "Overbidding in Fixed Rate Tenders - An Empirical Assessment of Alternative Explanations," Bonn Econ Discussion Papers 10/2003, University of Bonn, Bonn Graduate School of Economics (BGSE).
    3. Nautz, Dieter & Offermanns, Christian J., 2008. "Volatility transmission in the European money market," The North American Journal of Economics and Finance, Elsevier, vol. 19(1), pages 23-39, March.
    4. Gianfranco A. Vento, 2004. "The Eurosystem operational framework, use of colleteral and liquidity distribution in the euro area: towards a single interbank market?," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 57(228), pages 71-100.
    5. Gianfranco A. Vento, 2004. "The Eurosystem operational framework, use of colleteral and liquidity distribution in the euro area: towards a single interbank market?," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 57(228), pages 71-100.

  25. Hassler, Uwe & Breitung, Jörg, 2002. "A Residual-Based LM Test for Fractional Cointegration," Darmstadt Discussion Papers in Economics 114, Darmstadt University of Technology, Department of Law and Economics.

    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2005. "Fractional Cointegration And Aggregate Money Demand Functions," Manchester School, University of Manchester, vol. 73(6), pages 737-753, December.

  26. Jörg Breitung, 2002. "A parametric approach to the estimation of cointegration vectors in panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-4, International Conferences on Panel Data.

    Cited by:

    1. Namahoro, J.P. & Nzabanita, J. & Wu, Q., 2021. "The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis," Energy, Elsevier, vol. 237(C).
    2. 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.
    3. Saeid Mahdavi & Emmanuel Alanis, 2013. "Public expenditures and the unemployment rate in the American states: panel evidence," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2926-2937, July.
    4. Khalil Mhadhbi & Chokri Terzi & Ali Bouchrika, 2020. "Banking sector development and economic growth in developing countries: a bootstrap panel Granger causality analysis," Empirical Economics, Springer, vol. 58(6), pages 2817-2836, June.
    5. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2021. "Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels," Globalization Institute Working Papers 409, Federal Reserve Bank of Dallas, revised 08 Nov 2023.
    6. Wendy N. Cowan & Tsangyao Chang & Roula Inglesi-Lotz & Rangan Gupta, 2013. "The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries," Working Papers 201340, University of Pretoria, Department of Economics.
    7. Karaman Örsal, Deniz Dilan & Droge, Bernd, 2014. "Panel cointegration testing in the presence of a time trend," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 377-390.
    8. Dierk Herzer & Michael Grimm, 2011. "Does foreign aid increase private investment? Evidence from panel cointegration," Post-Print hal-00701864, HAL.
    9. Christophe Hurlin & Valérie Mignon, 2006. "Une synthèse des tests de cointégration sur données de panel," Working Papers halshs-00070887, HAL.
    10. Liu Sicen & Anwar Khan & Allauddin Kakar, 2022. "The Role of Disaggregated Level Natural Resources Rents in Economic Growth and Environmental Degradation of BRICS Economies," Biophysical Economics and Resource Quality, Springer, vol. 7(3), pages 1-14, September.
    11. 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.
    12. Dobdinga Cletus Fonchamnyo & Ongo Nkoa Bruno Emmanuel & Gildas Dohba Dinga, 2021. "The effects of trade, foreign direct investment, and economic growth on environmental quality and overshoot: a dynamic common correlation effects approach," SN Business & Economics, Springer, vol. 1(10), pages 1-27, October.
    13. Hsien-Hung Kung & Jennifer C. H. Min, 2013. "Military Spending and Economic Growth Nexus in Sixteen Latin and South American Countries: A Bootstrap Panel Causality Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 171-185, December.
    14. Ziesemer, Thomas, 2019. "Can we have growth when population is stagnant? Testing linear growth rate formulas and their cross-unit cointegration of non-scale endogenous growth models," MERIT Working Papers 2019-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Tsangyao Chang & Wen Yi Chen & Rangan Gupta & Duc Khuong Nguyen, 2013. "Are Stock Prices Related to Political Uncertainty Index in OECD Countries? Evidence from Bootstrap Panel Causality Test," Working Papers 2013-36, Department of Research, Ipag Business School.
    16. Betty Daniel & Christos Shiamptanis, 2012. "Pushing the Limit? Fiscal Policy in the European Monetary Union," Working Papers 033, Ryerson University, Department of Economics.
    17. Shu, Haicheng & Wang, Yu & Umar, Muhammad & Zhong, Yifan, 2023. "Dynamics of renewable energy research, investment in EnvoTech and environmental quality in the context of G7 countries," Energy Economics, Elsevier, vol. 120(C).
    18. Wang, Chen & Xia, Mengli & Wang, Piao & Xu, Junjie, 2022. "Renewable energy output, energy efficiency and cleaner energy: Evidence from non-parametric approach for emerging seven economies," Renewable Energy, Elsevier, vol. 198(C), pages 91-99.
    19. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    20. Huang, Lingyun & Zou, Yanjun, 2020. "How to promote energy transition in China: From the perspectives of interregional relocation and environmental regulation," Energy Economics, Elsevier, vol. 92(C).
    21. António AFONSO & Christophe RAULT, 2008. "What do we Really Know About Fiscal Sustainability in the EU? A Panel Data Diagnostic," EcoMod2008 23800000, EcoMod.
    22. Chintrakarn, Pandej & Herzer, Dierk & Nunnenkamp, Peter, 2010. "FDI and income inequality: evidence from a panel of US states," Kiel Working Papers 1579, Kiel Institute for the World Economy (IfW Kiel).
    23. Lof, Matthijs & Mekasha, Tseday Jemaneh & Tarp, Finn, 2015. "Aid and Income: Another Time-series Perspective," World Development, Elsevier, vol. 69(C), pages 19-30.
    24. Menyah, Kojo & Nazlioglu, Saban & Wolde-Rufael, Yemane, 2014. "Financial development, trade openness and economic growth in African countries: New insights from a panel causality approach," Economic Modelling, Elsevier, vol. 37(C), pages 386-394.
    25. Wagner, Martin & Hlouskova, Jaroslava, 2007. "The Performance of Panel Cointegration Methods. Results from a Large Scale Simulation Study," Economics Series 210, Institute for Advanced Studies.
    26. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    27. Young Bong Chang & Vijay Gurbaxani, 2012. "The Impact of IT-Related Spillovers on Long-Run Productivity: An Empirical Analysis," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 868-886, September.
    28. Herzer, Dierk, 2015. "The long-run effect of foreign direct investment on total factor productivity in developing countries: A panel cointegration analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112827, Verein für Socialpolitik / German Economic Association.
    29. Cheng Yang & Jean Pierre Namahoro & Qiaosheng Wu & Hui Su, 2022. "Renewable and Non-Renewable Energy Consumption on Economic Growth: Evidence from Asymmetric Analysis across Countries Connected to Eastern Africa Power Pool," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    30. Mehmet Mercan & Ozlem Azer, 2013. "The Relationship between Economic Growth and Income Distribution in Turkey and the Turkish Republics of Central Asia and Caucasia: Dynamic Panel Data Analysis with Structural Breaks," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 165-182, December.
    31. Syed, Munawar-Shah & Mariani, Abdul-Majid & Syed, Hussain-Shah, 2014. "Assessing Fiscal Sustainability for SAARC and IMT-GT Countries," MPRA Paper 62815, University Library of Munich, Germany, revised 2014.
    32. Liu, Xiaojing & Yang, Jie & Bilan, Yuriy & Shahzad, Umer, 2023. "Resources curse hypothesis and COP26 target: Mineral and oil resources economies COVID-19 perspective," Resources Policy, Elsevier, vol. 83(C).
    33. Herzer, Dierk & Nunnenkamp, Peter, 2011. "Income inequality and health: New evidence from panel data," Kiel Working Papers 1736, Kiel Institute for the World Economy (IfW Kiel).
    34. Uwe Hassler & Mehdi Hosseinkouchack, 2016. "Panel Cointegration Testing in the Presence of Linear Time Trends," Econometrics, MDPI, vol. 4(4), pages 1-16, November.
    35. VANNESTE, Jacques & ZHANG, Ying, 2012. "The impact of government expenditure on prepayment for health services: Evidence from cointegration analysis in heterogeneous panel data," Working Papers 2012029, University of Antwerp, Faculty of Business and Economics.
    36. Wadad Saad & Hassan Ayoub, 2019. "Remittances, Governance and Economic Growth: Empirical Evidence from MENA Region," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(8), pages 1-1, August.
    37. Fang, Jianchun & Gozgor, Giray & Mahalik, Mantu Kumar & Mallick, Hrushikesh & Padhan, Hemachandra, 2022. "Does urbanisation induce renewable energy consumption in emerging economies? The role of education in energy switching policies," Energy Economics, Elsevier, vol. 111(C).
    38. Csereklyei, Zsuzsanna & Humer, Stefan, 2012. "Modelling Primary Energy Consumption under Model Uncertainty," Department of Economics Working Paper Series 147, WU Vienna University of Economics and Business.
    39. Ceyhun Can OZCAN, 2016. "International trade and tourism for Mediterranean countries: A panel causality analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 203-212, Spring.
    40. Gabriel Bruneau & Kevin Moran, 2012. "Exchange Rate Fluctuations and Labour Market Adjustments in Canadian Manufacturing Industries," Cahiers de recherche 1227, CIRPEE.
    41. Shyh-Wei Chen & Zixiong Xie & Ying Liao, 2018. "Energy consumption promotes economic growth or economic growth causes energy use in China? A panel data analysis," Empirical Economics, Springer, vol. 55(3), pages 1019-1043, November.
    42. Mehdi Behname, 2013. "The relationship between Market Size, Inflation and Energy," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 2, pages 1-1, December.
    43. Dong, Kangyin & Sun, Renjin & Hochman, Gal & Li, Hui, 2018. "Energy intensity and energy conservation potential in China: A regional comparison perspective," Energy, Elsevier, vol. 155(C), pages 782-795.
    44. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2014. "Green Growth in Mexico, Brazil and Chile: Policy strategies and future prospects," Ibero America Institute for Econ. Research (IAI) Discussion Papers 229, Ibero-America Institute for Economic Research.
    45. Herzer, Dierk & Nunnenkamp, Peter, 2014. "Income inequality and health: Evidence from developed and developing countries," Economics Discussion Papers 2014-45, Kiel Institute for the World Economy (IfW Kiel).
    46. Hong Vo, Duc & Van Nguyen, Phuc & Minh Nguyen, Ha & The Vo, Anh & Cong Nguyen, Thang, 2020. "Derivatives market and economic growth nexus: Policy implications for emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    47. Philip Arestis & Ayşe Kaya & Hüseyin Şen, 2018. "Does fiscal consolidation promote economic growth and employment? Evidence from the PIIGGS countries," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 15(3), pages 289-312, November.
    48. Gu, Xiao & Shen, Xi & Zhong, Xiangming & Wu, Tong & Rahim, Syed, 2023. "Natural resources and undesired productions of environmental outputs as green growth: EKC in the perspective of green finance and green growth in the G7 region," Resources Policy, Elsevier, vol. 82(C).
    49. NAPO, Fousséni, 2018. "Capital humain, productivité manufacturière et croissance économique dans les pays de l’UEMOA [Human capital, manufacturing productivity and economic growth in WAEMU countries]," MPRA Paper 89450, University Library of Munich, Germany, revised 12 Oct 2018.
    50. Ibrahima Amadou DIALLO, 2015. "Exchange Rate Volatility and Investment: A Panel Data Cointegration Approach," Expert Journal of Economics, Sprint Investify, vol. 3(2), pages 127-135.
    51. Buch, Claudia M. & Kokta, Robert M. & Piazolo, Daniel, 2003. "Foreign direct investment in Europe: Is there redirection from the South to the East?," Journal of Comparative Economics, Elsevier, vol. 31(1), pages 94-109, March.
    52. José M. Alonso & Judith Clifton & Daniel Díaz-Fuentes, 2015. "Did New Public Management Matter? An empirical analysis of the outsourcing and decentralization effects on public sector size," Public Management Review, Taylor & Francis Journals, vol. 17(5), pages 643-660, May.
    53. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
    54. Wagner, Martin, 2006. "The Carbon Kuznets Curve. A Cloudy Picture Emitted by Bad Econometrics?," Economics Series 197, Institute for Advanced Studies.
    55. Dierk Herzer & Peter Nunnenkamp, 2013. "Inward and outward FDI and income inequality: evidence from Europe," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(2), pages 395-422, June.
    56. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.
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    64. Betty Daniel & Christos Shiamptanis, 2008. "Fiscal Policy in the European Monetary Union," Discussion Papers 08-11, University at Albany, SUNY, Department of Economics.
    65. Saten Kumar & Don J. Webber & Antonio Paradiso, 2012. "Does energy consumption affect growth?," Working Papers 2012-04, Auckland University of Technology, Department of Economics.
    66. Binder, Michael & Offermanns, Christian J., 2014. "International investment positions and exchange rate dynamics," Discussion Papers 2014/23, Free University Berlin, School of Business & Economics.
    67. Ömer Yalçınkaya & İbrahim Hüseyni & Ali Kemal Çelik, 2017. "The Impact of Total Factor Productivity on Economic Growth for Developed and Emerging Countries: A Second-generation Panel Data Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(4), pages 404-417, November.
    68. Fernando Arias & David Delgado & Daniel Parra & Hernán Rincón-Castro, 2016. "Gross Capital Flows and their long-term Determinants for Developing Economies: A Panel Co-integration Approach," Borradores de Economia 932, Banco de la Republica de Colombia.
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    73. Syed Asif Ali Naqvi & Bilal Hussain & Ashfaq Ahmad Shah & Muhammad Atiq Ur Rehman Tariq & Muhammad Usman, 2022. "Influence of Economic Growth, Energy Production, and Subcomponents on the Environment: A Regional Level Analytical Modeling," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    74. Okey, Mawussé Komlagan Nézan, 2009. "Consommation d’énergies et croissance du PIB dans les pays de l’UEMOA : Une analyse en données de panel [Energy consumption and GDP growth in WAEMU countries : A panel data analysis]," MPRA Paper 15521, University Library of Munich, Germany, revised 02 Jun 2009.
    75. Furkan Emirmahmutoglu & Mehmet Bacilar & Nicholas Apergis & Beatrice D. Simo-Kengne & Tsangyao Chang & Rangan Gupta, 2016. "Causal Relationship between Asset Prices and Output in the United States: Evidence from the State-Level Panel Granger Causality Test," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1728-1741, October.
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    81. Prettner, Catherine, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Paper Series 224, WU Vienna University of Economics and Business.
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    97. Ma, Qiang & Mentel, Grzegorz & Zhao, Xin & Salahodjaev, Raufhon & Kuldasheva, Zebo, 2022. "Natural resources tax volatility and economic performance: Evaluating the role of digital economy," Resources Policy, Elsevier, vol. 75(C).
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    100. Catherine Prettner, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Papers wuwp224, Vienna University of Economics and Business, Department of Economics.
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    1. Dreger, Christian & Schumacher, Christian, 2002. "Estimating large-scale factor models for economic activity in Germany: Do they outperform simpler models?," HWWA Discussion Papers 199, Hamburg Institute of International Economics (HWWA).
    2. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.

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    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil‐Alana, 2005. "Fractional Cointegration And Aggregate Money Demand Functions," Manchester School, University of Manchester, vol. 73(6), pages 737-753, December.

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    1. Matei Demetrescu & Uwe Hassler & Vladimir Kuzin, 2011. "Pitfalls of post-model-selection testing: experimental quantification," Empirical Economics, Springer, vol. 40(2), pages 359-372, April.
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    3. Morten Orregaard Nielsen, 2004. "Efficient inference in multivariate fractionally integrated time series models," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 63-97, June.
    4. 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.
    5. Uwe Hassler & Paulo M.M. Rodrigues & Antonio Rubia, 2016. "Quantile Regression for Long Memory Testing: A Case of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 693-724.
    6. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Giuseppe Cavaliere & Morten Ørregaard Nielsen & Robert Taylor, 2017. "Quasi-Maximum Likelihood Estimation and Bootstrap Inference in Fractional Time Series Models with Heteroskedasticity of Unknown Form," CREATES Research Papers 2017-02, Department of Economics and Business Economics, Aarhus University.
    8. Belbute, José, 2013. "Does final demand for energy in Portugal exhibit long memory?," MPRA Paper 45717, University Library of Munich, Germany.
    9. Hassler, Uwe & Marmol, Francesc & Velasco, Carlos, 2009. "Residual Log-Periodogram Inference for Long-Run-Relationships," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77562, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Lean, Hooi Hooi & Smyth, Russell, 2009. "Long memory in US disaggregated petroleum consumption: Evidence from univariate and multivariate LM tests for fractional integration," Energy Policy, Elsevier, vol. 37(8), pages 3205-3211, August.
    11. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    12. Dolado Juan J. & Gonzalo Jesus & Mayoral Laura, 2008. "Wald Tests of I(1) against I(d) Alternatives: Some New Properties and an Extension to Processes with Trending Components," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-35, December.
    13. Jiajia Zheng & Pengfei Sheng, 2017. "The Impact of Foreign Direct Investment (FDI) on the Environment: Market Perspectives and Evidence from China," Economies, MDPI, vol. 5(1), pages 1-15, March.
    14. Federico Carlini & Paolo Santucci de Magistris, 2019. "On the Identification of Fractionally Cointegrated VAR Models With the Condition," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 134-146, January.
    15. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Long-Lasting Economic Effects of Pandemics:Evidence on Growth and Unemployment," Econometrics, MDPI, vol. 8(3), pages 1-16, September.
    16. António Rua & Paulo M.M. Rodrigues & João Pedro Pereira, 2016. "Market integration and the persistence of electricity prices," Working Papers w201609, Banco de Portugal, Economics and Research Department.
    17. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    18. Paulo M.M. Rodrigues & Matei Demetrescu, 2018. "Testing the fractionally integrated hypothesis using M estimation: With an application to stock market volatility," Working Papers w201817, Banco de Portugal, Economics and Research Department.
    19. Mauro Costantini & Roy Cerqueti, 2007. "Non parametric Fractional Cointegration Analysis," ISAE Working Papers 78, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    20. Juan J. Dolado & Jesús Gonzalo & Laura Mayoral, 2003. "Testing for a Unit Root Against Fractional Alternatives in the Presence of a Maintained Trend," Working Papers 29, Barcelona School of Economics.
    21. Morten Ørregaard Nielsen, 2005. "Multivariate Lagrange Multiplier Tests for Fractional Integration," Journal of Financial Econometrics, Oxford University Press, vol. 3(3), pages 372-398.
    22. Lee, Jin, 2005. "Estimating memory parameter in the US inflation rate," Economics Letters, Elsevier, vol. 87(2), pages 207-210, May.
    23. Paulo M.M. Rodrigues & Uwe Hassler, 2014. "Persistence in the Banking Industry: Fractional integration and breaks in memory," Working Papers w201406, Banco de Portugal, Economics and Research Department.
    24. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    25. João Valle e Azevedo & Paulo M.M. Rodrigues & Antonio Rubia, 2009. "Finite Sample Performance of Frequency and Time Domain Tests for Seasonal Fractional Integration," Working Papers w200902, Banco de Portugal, Economics and Research Department.
    26. Paulo M.M. Rodrigues & Marina Balboa, 2021. "Multivariate Fractional Integration Tests allowing for Conditional Heteroskedasticity with an Application to Return Volatility and Trading Volume," Working Papers w202102, Banco de Portugal, Economics and Research Department.
    27. Vera-Valdés, J. Eduardo, 2022. "The persistence of financial volatility after COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    28. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    29. Katarzyna Lasak & Carlos Velasco, 2014. "Fractional Cointegration Rank Estimation," Tinbergen Institute Discussion Papers 14-021/III, Tinbergen Institute.
    30. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    31. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    32. Martins, Luis F. & Rodrigues, Paulo M.M., 2014. "Testing for persistence change in fractionally integrated models: An application to world inflation rates," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 502-522.
    33. Dolado, Juan J & Rachinger, Heiko & Velasco, Carlos, 2020. "LM tests for joint breaks in the dynamics and level of a long-memory time series," CEPR Discussion Papers 15435, C.E.P.R. Discussion Papers.
    34. Uwe Hassler & Barbara Meller, 2014. "Detecting multiple breaks in long memory the case of U.S. inflation," Empirical Economics, Springer, vol. 46(2), pages 653-680, March.
    35. Ignacio N Lobato & Carlos Velasco, 2007. "Efficient Wald Tests for Fractional Unit Roots," Econometrica, Econometric Society, vol. 75(2), pages 575-589, March.
    36. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    37. Uwe Hassler & Francesc Marmol & Carlos Velasco, 2008. "Fractional cointegration in the presence of linear trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(6), pages 1088-1103, November.
    38. Dräger, Lena & Kolaiti, Theoplasti & Sibbertsen, Philipp, 2020. "Measuring Macroeconomic Convergence and Divergence within EMU Using Long Memory," Hannover Economic Papers (HEP) dp-675, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2021.
    39. Hassler, Uwe & Breitung, Jörg, 2002. "A Residual-Based LM Test for Fractional Cointegration," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37318, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    40. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," CREATES Research Papers 2019-02, Department of Economics and Business Economics, Aarhus University.
    41. Dechert, Andreas, 2012. "Variance Ratio Testing for Fractional Cointegration in Presence of Trends and Trend Breaks," MPRA Paper 41044, University Library of Munich, Germany.
    42. Margherita Gerolimetto & Isabella Procidano, 2008. "A test for fractional cointegration using the sieve bootstrap," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 373-391, July.
    43. Giuseppe Cavaliere & Morten Ørregaard Nielsen & A.M. Robert Taylor, 2014. "Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets," CREATES Research Papers 2014-22, Department of Economics and Business Economics, Aarhus University.
    44. V. A. Reisen & C. Lévy-Leduc & M. Bourguignon & H. Boistard, 2017. "Robust Dickey–Fuller tests based on ranks for time series with additive outliers," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(1), pages 115-131, January.
    45. David, S.A. & Inácio Jr., C.M.C. & Tenreiro Machado, José A., 2021. "The recovery of global stock markets indices after impacts due to pandemics," Research in International Business and Finance, Elsevier, vol. 55(C).
    46. Cho, Cheol-Keun & Amsler, Christine & Schmidt, Peter, 2015. "A test of the null of integer integration against the alternative of fractional integration," Journal of Econometrics, Elsevier, vol. 187(1), pages 217-237.
    47. Hassler, Uwe & Nautz, Dieter, 2008. "On the persistence of the Eonia spread," Economics Letters, Elsevier, vol. 101(3), pages 184-187, December.
    48. Lasak, Katarzyna, 2010. "Likelihood based testing for no fractional cointegration," Journal of Econometrics, Elsevier, vol. 158(1), pages 67-77, September.
    49. Juan J. Dolado & Jesús Gonzalo & Laura Mayoral, 2005. "Testing I(1) against I(d) alternatives in the presence of deteministic components," Economics Working Papers 957, Department of Economics and Business, Universitat Pompeu Fabra.
    50. Laura Mayoral, 2005. "Further evidence on the statistical properties of real GNP," Economics Working Papers 955, Department of Economics and Business, Universitat Pompeu Fabra, revised Feb 2006.
    51. Dechert, Andreas, 2014. "Fraktionale Kointegrationsbeziehungen zwischen Euribor-Zinssätzen," W.E.P. - Würzburg Economic Papers 93, University of Würzburg, Department of Economics.
    52. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    53. Avarucci, M. & Velasco, C., 2008. "A wald test for the cointegration rank in nonstationary fractional systems," Research Memorandum 049, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    54. Demetrescu, Matei & Kusin, Vladimir & Salish, Nazarii, 2022. "Testing for no cointegration in vector autoregressions with estimated degree of fractional integration," Economic Modelling, Elsevier, vol. 108(C).
    55. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    56. Davidson, James, 2002. "A model of fractional cointegration, and tests for cointegration using the bootstrap," Journal of Econometrics, Elsevier, vol. 110(2), pages 187-212, October.
    57. Juliane Scharff, 2007. "Inflation and the Divergence of Relative Prices: Evidence from a Cointegration Analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(2), pages 141-158, August.
    58. Laura Mayoral, 2003. "Further Evidence on the Uncertain (Fractional) Unit Root in Real GNP," Working Papers 82, Barcelona School of Economics.
    59. Davidson, James, 2006. "Alternative bootstrap procedures for testing cointegration in fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 133(2), pages 741-777, August.

  30. Breitung, Jörg & Candelon, Bertrand, 2000. "Common cycles: A frequency domain approach," SFB 373 Discussion Papers 2000,99, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Michael J. Artis, 2002. "Reflections on the Optimal Currency Area (OCA) criteria in the light of EMU," Working Papers 69, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Carlos Enrique Carrasco Gutierrez & Fábio Augusto Reis Gomes, 2006. "Evidence About Mercosur’S Business Cycle," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 179, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Julien Garnier, 2004. "UK in or UK Out? A Common Cycle Analysis Between the UK and the Euro Zone," Working Papers 2004-17, CEPII research center.

  31. Breitung, Jörg & Brüggemann, Ralf, 2000. "Uncovered interest parity: What can we learn from panel data?," SFB 373 Discussion Papers 2000,58, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Buch, Claudia M., 2000. "Information or Regulation: What Is Driving the International Activities of Commercial Banks?," Kiel Working Papers 1011, Kiel Institute for the World Economy (IfW Kiel).

  32. Breitung, Jörg & Wulff, Christian, 1999. "Nonlinear error correction and the efficient market hypothesis: The case of German dual-class shares," SFB 373 Discussion Papers 1999,67, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Breitung Jörg & Wulff Christian, 2001. "Non-linear Error Correction and the Efficient Market Hypothesis: The Case of German Dual-Class Shares," German Economic Review, De Gruyter, vol. 2(4), pages 419-434, December.
    2. Said M. Alkhatib, 2016. "The dynamic response patterns of output to credit: the case of Saudi Arabia," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 11(1), pages 11-25.

  33. Breitung, Jörg, 1999. "The local power of some unit root tests for panel data," SFB 373 Discussion Papers 1999,69, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Stojkoski, Viktor & Popova, Kristina, 2016. "Financial Development and Growth: Panel Cointegration Evidence from South-Eastern and Central Europe," MPRA Paper 69029, University Library of Munich, Germany.
    2. Habibullah, M.S. & Law, Siong-Hook & Dayang-Afizzah, A.M., 2008. "Defense spending and economic growth in Asian economies: A panel error-correction approach," MPRA Paper 12105, University Library of Munich, Germany.
    3. Li Wang & Jinyang Tang & Mengqian Tang & Mengying Su & Lili Guo, 2022. "Scale of Operation, Financial Support, and Agricultural Green Total Factor Productivity: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    4. Hu, Hui & Xie, Nan & Fang, Debin & Zhang, Xiaoling, 2018. "The role of renewable energy consumption and commercial services trade in carbon dioxide reduction: Evidence from 25 developing countries," Applied Energy, Elsevier, vol. 211(C), pages 1229-1244.
    5. Morgan, Peter & Zhang, Yan, 2015. "ADBI WP543: Mortgage Lending and Financial Stability in Asia," ADBI Working Papers 543, Asian Development Bank Institute.
    6. Lavaneesvari Manogaran* & Siok Kun Sek, 2018. "Examining the Threshold Effect of Exchange Rate Changes on Monetary Policy Reaction Function of ASEAN-5: A Panel Threshold Approach," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 243-248:2.
    7. Wei, Runchu & Chen, Xia & Chang, Chun-Ping, 2021. "Does COVID-19 pandemic hurt stock prices of solar enterprises?," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 41-57.
    8. Andros Gregoriou, 2010. "Corporate Valuation and Dividends: UK Evidence from Panel Unit Root and Cointegration Tests," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 38(1), pages 15-22, March.
    9. Atanu Ghoshray & Yurena Mendoza & Mercedes Monfort & Javier Ordoñez, 2018. "Re-assessing causality between energy consumption and economic growth," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-15, November.
    10. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    11. Miguel D. Ramirez, 2017. "FDI Flows to Latin America: A Pooled and Cointegration Analysis, 1980-2014," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 178-201, December.
    12. Robin Johnson & W A Razzak & Steve Stillman, 2005. "Has New Zealand benefited from its investments in research & development?," Development and Comp Systems 0510022, University Library of Munich, Germany.
    13. Huiru Zhao & Haoran Zhao & Xiaoyu Han & Zhonghua He & Sen Guo, 2016. "Economic Growth, Electricity Consumption, Labor Force and Capital Input: A More Comprehensive Analysis on North China Using Panel Data," Energies, MDPI, vol. 9(11), pages 1-21, October.
    14. Peter C.B. Phillips & Hyungsik Roger Moon & Benoit Perron, 2004. "Incidental Trends and the Power of Panel Unit Root Tests," Yale School of Management Working Papers ysm414, Yale School of Management.
    15. Dimitris Christopoulos & Eftymios Tsionas, 2002. "Non-Sationarity in the Consumption-Income Ratio: Further Evidence from Panel and Assymetric Unit Root Tests," Economics Bulletin, AccessEcon, vol. 3(12), pages 1-5.
    16. Habib Ur Rahman & Umer Zaman & Jarosław Górecki, 2021. "The Role of Energy Consumption, Economic Growth and Globalization in Environmental Degradation: Empirical Evidence from the BRICS Region," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    17. Rahman, Mohammad Mafizur, 2017. "Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 506-514.
    18. Vusal Ahmadov, 2022. "Structural Change and Economic Growth in Visegrad and South Caucasian Countries," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 24(2), pages 5-44, December.
    19. Dutta, Champa Bati & Das, Debasish Kumar, 2016. "Does disaggregated CO2 emission matter for growth? Evidence from thirty countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 825-833.
    20. Andros Gregoriou & Alexandros Kontonikas, "undated". "The Long Run Relationship Between Stock Prices And Goods Prices: New Evidence From Panel Cointegration," Working Papers 2008_19, Business School - Economics, University of Glasgow.
    21. Peter J. Morgan & Yan Zhang, 2017. "Mortgage lending, banking crises, and financial stability in Asia and Europe," Asia Europe Journal, Springer, vol. 15(4), pages 463-482, December.
    22. Xiaoxia Shi & Haiyun Liu & Joshua Sunday Riti, 2019. "The role of energy mix and financial development in greenhouse gas (GHG) emissions’ reduction: evidence from ten leading CO2 emitting countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 695-729, October.
    23. Tommaso Mancini-Griffoli & Laurent L. Pauwels, 2006. "Is There a Euro Effect on Trade? An Application of End-of-Sample Structural Break Tests for Panel Data," IHEID Working Papers 04-2006, Economics Section, The Graduate Institute of International Studies, revised Apr 2006.
    24. Lee, Bun Song & Chun, Sun Eae & Kim, Suk Young, 2007. "The effects of regional characteristics on population growth in Korean cities, counties and wards," Journal of Asian Economics, Elsevier, vol. 18(3), pages 490-508, June.
    25. Dimitris Christopoulos & John Loizides & Efthymios Tsionas, 2005. "The Abrams curve of government size and unemployment: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 37(10), pages 1193-1199.
    26. Samuel A Sarkodie & Evans B Ntiamoah & Dongmei Li, 2019. "Panel heterogeneous distribution analysis of trade and modernized agriculture on CO2 emissions: The role of renewable and fossil fuel energy consumption," Natural Resources Forum, Blackwell Publishing, vol. 43(3), pages 135-153, August.
    27. Stojkoski, Viktor & Kocarev, Ljupco, 2017. "The Relationship Between Growth and Economic Complexity: Evidence from Southeastern and Central Europe," MPRA Paper 77837, University Library of Munich, Germany, revised 2017.
    28. Christopoulos, Dimitris K. & Tsionas, Efthymios G., 2004. "Financial development and economic growth: evidence from panel unit root and cointegration tests," Journal of Development Economics, Elsevier, vol. 73(1), pages 55-74, February.

  34. Breitung, Jörg, 1998. "Rank tests for nonlinear cointegration," SFB 373 Discussion Papers 1998,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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    1. Onour, Ibrahim, 2009. "Financial Integration of North Africa Stock Markets," MPRA Paper 14938, University Library of Munich, Germany.
    2. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    3. Yicong Lin & Hanno Reuvers, 2019. "Efficient Estimation by Fully Modified GLS with an Application to the Environmental Kuznets Curve," Papers 1908.02552, arXiv.org, revised Aug 2020.
    4. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    5. Alfred A. Haug & Syed A. Basher, 2007. "Linear or Nonlinear Cointegration in the Purchasing Power Parity Relationship?," Working Papers 0712, University of Otago, Department of Economics, revised Aug 2007.
    6. Martha A. Misas A. & Enrique López E. & Carlos A. Arango A. & Juan Nicolás Hernández A., 2004. "No-linealidades en la demanda de efectivo en Colombia: las redes neuronales como herramienta de pronóstico," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(45), pages 10-57, June.
    7. Chi-Wei Su, 2012. "The relationship between exchange rate and macroeconomic variables in China," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 33-56.
    8. 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.
    9. Andrew Davies, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, John Wiley & Sons, vol. 15(4), pages 305-321.
    10. Shahbaz, Muhammad & Shafiullah, Muhammad & Papavassiliou, Vassilios & Hammoudeh, Shawkat, 2017. "The CO2-Growth nexus revisited: A nonparametric analysis for G7 economies over nearly two centuries," MPRA Paper 79019, University Library of Munich, Germany, revised 07 May 2017.
    11. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    12. Venus khim-sen Liew, 2009. "Linear and nonlinear monetary approaches to the exchange rate of the Philippines peso-Japanese yen," Economics Bulletin, AccessEcon, vol. 29(2), pages 1320-1329.
    13. Juan Gabriel Brida & Bibiana Lanzilotta & Lucía Rosich, 2019. "Common trends in producers’ expectations, the nonlinear linkage with Uruguayan GDP and its implications in economic growth forecasting," Documentos de Trabajo (working papers) 19-28, Instituto de Economía - IECON.
    14. Daniel Ordoñez-Callamand & Luis F. Melo-Velandia & Oscar M. Valencia-Arana, 2017. "Current Account Sustainability in Latin America Considering Nonlinearities," Borradores de Economia 987, Banco de la Republica de Colombia.
    15. Shiok Ye Lim & Ricky Chee-Jiun Chia & Chong Mun Ho, 2010. "Long-run Validity of Export-Led Growth: An Empirical Reinvestigation from Linear and Nonlinear Cointegration Test," Economics Bulletin, AccessEcon, vol. 30(2), pages 1182-1190.
    16. Shafiullah, Muhammad & Miah, Mohammad Dulal & Alam, Md Samsul & Atif, Muhammad, 2021. "Does economic policy uncertainty affect renewable energy consumption?," Renewable Energy, Elsevier, vol. 179(C), pages 1500-1521.
    17. Xiao‐Ming Li, 2006. "A Revisit Of International Stock Market Linkages: New Evidence From Rank Tests For Nonlinear Cointegration," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 174-197, May.
    18. Alfred A. Haug & Syed A. Basher, 2004. "Unit Roots, Nonlinear Cointegration and Purchasing Power Parity," Econometrics 0401006, University Library of Munich, Germany, revised 16 Nov 2005.
    19. Aloui, Chaker & Hammoudeh, Shawkat & Hamida, Hela Ben, 2015. "Price discovery and regime shift behavior in the relationship between sharia stocks and sukuk: A two-state Markov switching analysis," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 121-135.
    20. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    21. Anis Ochi & Yosra Saidi & Mohamed Ali Labidi, 2023. "Non-linear Threshold Effect of Governance Quality on Economic Growth in African Countries: Evidence from Panel Smooth Transition Regression Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4707-4729, December.
    22. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.
    23. Sephton, Peter & Mann, Janelle, 2013. "Further evidence of an Environmental Kuznets Curve in Spain," Energy Economics, Elsevier, vol. 36(C), pages 177-181.
    24. Vasco J. Gabriel & Luis F. Martins, 2010. "Cointegration Tests Under Multiple Regime Shifts: An Application to the Stock Price-Dividend Relationship," NIPE Working Papers 28/2010, NIPE - Universidade do Minho.
    25. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim, 2009. "Purchasing power parity in Asian economies: further evidence from rank tests for cointegration," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 51-54.
    26. Ching-Chuan Tsong, 2010. "Are Real Exchange Rates Mean Reverting in Developing Economies in Asia? A Covariate Stationarity Approach," International Economic Journal, Taylor & Francis Journals, vol. 24(3), pages 397-412.
    27. Chih-Wei SU & Hsu-Ling CHANG & Chun JIANG, 2013. "Does Wealth or Credit Effect Exist in China?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 104-114, October.
    28. Paradiso, Antonio & Kumar, Saten & Lucchetta, Marcella, 2014. "Investigating the US consumer credit determinants using linear and non-linear cointegration techniques," Economic Modelling, Elsevier, vol. 42(C), pages 20-28.
    29. Kai Yin Woo & Shu Kam Lee & Alan T. Y. Chan, 2020. "Food price convergence in Canada: A nonparametric nonlinear cointegration analysis," Economics Bulletin, AccessEcon, vol. 40(3), pages 2361-2371.
    30. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    31. Ibrahim Onour, "undated". "Is the high crude oil prices cause the soaring global food prices?," API-Working Paper Series 1001, Arab Planning Institute - Kuwait, Information Center.
    32. Liew, Venus Khim-Sen & Ling, Tai-Hu & Chia, Ricky Chee-Jiun & Yoon, Gawon, 2012. "On the application of the rank tests for nonlinear cointegration to PPP: The case of Papua New Guinea," Economic Modelling, Elsevier, vol. 29(2), pages 326-332.
    33. Michael L. Polemis & Mike G. Tsionas, 2019. "Bayesian nonlinear panel cointegration: an empirical application to the EKC hypothesis," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 113-120, August.
    34. Mohamed El Hedi Arouri & Jamel Jouini & Duc Khuong Nguyen, 2013. "On the relationship between world oil prices and GCC stock markets," Working Papers hal-00798037, HAL.
    35. Moosa, Imad A. & Ma, Ming, 2018. "Linear and Nonlinear Attractors in Purchasing Power Parity," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 149-172.
    36. Fumitaka Furuoka, 2018. "Is population beneficial to economic growth? An empirical study of China," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 209-225, January.
    37. Bayer, C & Hanck, C.H., 2009. "Combining non-cointegration tests," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    38. Mendonca, Gui Pedro, 2008. "Structural Breaks, Regime Change and Asymmetric Adjustment: A Short and Long Run Global Approach to the Output/Unemployment Dynamics," MPRA Paper 14648, University Library of Munich, Germany.
    39. Juan G Brida & Bibiana Lanzilotta & Lucia I Rosich, 2021. "On the empirical relations between producers expectations and economic growth," Economics Bulletin, AccessEcon, vol. 41(3), pages 1970-1982.
    40. Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "How do Stocks in BRICS co-move with REITs?," MPRA Paper 88753, University Library of Munich, Germany.
    41. Raihan, Selim & Abdullah, S M & Barkat, Aroni & Siddiqua, Salina, 2017. "Mean Reversion of the Real Exchange Rate and the validity of PPP Hypothesis in the context of Bangladesh: A Holistic Approach," MPRA Paper 77172, University Library of Munich, Germany.
    42. Adedoyin Isola Lawal, 2023. "The Nexus between Economic Growth, Energy Consumption, Agricultural Output, and CO 2 in Africa: Evidence from Frequency Domain Estimates," Energies, MDPI, vol. 16(3), pages 1-27, January.
    43. Ye, Yonggang & Chang, Tsangyao & Hung, Ken & Lu, Yang-Cheng, 2011. "Revisiting rational bubbles in the G-7 stock markets using the Fourier unit root test and the nonparametric rank test for cointegration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(2), pages 346-357.
    44. Ricky Chee Jiun Chia & Shiok Ye Lim & Sheue Li Ong, 2014. "Long-Run Validity of Purchasing Power Parity and Cointegration Analysis for Low Income African Countries," Economics Bulletin, AccessEcon, vol. 34(3), pages 1438-1447.
    45. Haug Alfred A & Siklos Pierre L, 2006. "The Behavior of Short-Term Interest Rates: International Evidence of Non-Linear Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-34, December.
    46. Alfred A. Haug & Pierre L. Siklos, 2002. "The Term Spread International Evidence of Non-Linear Adjustment," Working Papers 2002_08, York University, Department of Economics, revised Jul 2004.
    47. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Akinsomi, Omokolade & Coskun, Yener, 2020. "How do stocks in BRICS co-move with real estate stocks?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 93-101.
    48. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    49. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.
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    52. Kai Yin Woo & Shu Kam Lee, 2018. "Price convergence in the UK supermarket chains: Evidence from nonlinear cointegration approach," Economics and Business Letters, Oviedo University Press, vol. 7(3), pages 115-125.
    53. Venus Khim-Sen Liew & Ricky Chee-Jiun Chia & Tai-Hu Ling, 2010. "Long-run validity of purchasing power parity and rank tests for cointegration for Central Asian countries," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1073-1077.
    54. Muhammad Shahbaz & Naceur Khraief & Mantu Kumar Mahalik, 2020. "Investigating the environmental Kuznets’s curve for Sweden: evidence from multivariate adaptive regression splines (MARS)," Empirical Economics, Springer, vol. 59(4), pages 1883-1902, October.
    55. César Castro & Rebeca Jiménez-Rodríguez, 2020. "Dynamic interactions between oil price and exchange rate," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    56. Chu V. Nguyen & David McMillan, 2015. "The Vietnamese lending rate, policy-related rate, and monetary policy post-1997 Asian financial crisis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1007808-100, December.
    57. Davies, Andrew, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, Elsevier, vol. 15(4), pages 305-321.
    58. Taylor, A. M. Robert, 2005. "Variance ratio tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 124(1), pages 33-54, January.
    59. Angeliki Papana & Catherine Kyrtsou & Dimitris Kugiumtzis & Cees Diks, 2023. "Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data," Empirical Economics, Springer, vol. 64(3), pages 1399-1420, March.
    60. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.
    61. Pitarakis, Jean-Yves, 2012. "Functional cointegration: definition and nonparametric estimation," MPRA Paper 38846, University Library of Munich, Germany.
    62. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.
    63. Kenourgios, Dimitris & Samitas, Aristeidis, 2009. "Financial Market Dynamics in an Enlarged European Union," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 24, pages 197-221.
    64. Dogru, Bülent & Recepoglu, Mursit, 2013. "Türki̇ye’De Hi̇sse Senedi̇ Fi̇yatlari Ve Dövi̇z Kuru Arasinda Doğrusal Ve Doğrusal Olmayan Eş Bütünleşme İli̇şki̇si̇ [Linear and Nonlinear Cointegration Relationship between Stock Prices and Excha," MPRA Paper 50505, University Library of Munich, Germany.
    65. Saten Kumar, 2016. "Is the US Consumer Credit Asymmetric?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 194-215, May.
    66. Chen, Show-Lin & Tsai, Li-Ju & Wu, Jyh-Lin, 2004. "A revisit to liquidity effects--evidence from a non-linear approach," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 501-517, September.
    67. Chang, Tsangyao & Chiu, Chi Chen & Tzeng, Han Wen, 2011. "Revisiting Purchasing Power Parity for Nine Transition Countries Using the Rank Test for Nonlinear Cointegration," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 19-30, June.
    68. Su, Chi-Wei, 2011. "Non-linear causality between the stock and real estate markets of Western European countries: Evidence from rank tests," Economic Modelling, Elsevier, vol. 28(3), pages 845-851, May.

  35. Breitung, Jörg & Swanson, Norman Rasmus, 1998. "Temporal aggregation and causality in multiple time series models," SFB 373 Discussion Papers 1998,27, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Breitung, Jörg, 1998. "Neuere Entwicklungen auf dem Gebiet ökonometrischer Strukturmodelle: Strukturelle Vektorautoregressionen," SFB 373 Discussion Papers 1998,80, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  36. Liesenfeld, Roman & Breitung, Jörg, 1998. "Simulation based methods of moments in empirical finance," SFB 373 Discussion Papers 1998,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. González, Manuel, 2004. "La Curva de Retorno y el Modelo C-CAPM: Evidencia para Chile," MPRA Paper 309, University Library of Munich, Germany.

  37. Gómez, Víctor & Breitung, Jörg, 1998. "The Beveridge-Nelson decomposition: A different perspective with new results," SFB 373 Discussion Papers 1998,26, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Lacroix, R., 2008. "Analyse conjoncturelle de données brutes et estimation de cycles Partie 1 : estimation et tests," Working papers 209, Banque de France.

  38. Breitung, Jörg, 1998. "Neuere Entwicklungen auf dem Gebiet ökonometrischer Strukturmodelle: Strukturelle Vektorautoregressionen," SFB 373 Discussion Papers 1998,80, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Gottschalk, Jan, 2001. "An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models," Kiel Working Papers 1072, Kiel Institute for the World Economy (IfW Kiel).
    2. Frondel, Manuel & Schmidt, Torsten & Vance, Colin & Zimmermann, Tobias & Belke, Ansgar, 2008. "Einfluss von Preisschocks auf die Preisentwicklung in Deutschland: Forschungsvorhaben des Bundesministeriums für Wirtschaft und Technologie. Projekt-Nr. I D 4-020815-16/07. Endbericht - Oktober 2008," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 70890.

  39. Breitung, Jörg & Lechner, Michael, 1998. "Alternative GMM methods for nonlinear panel data models," SFB 373 Discussion Papers 1998,81, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    2. González, M. & Minguez, R., 2005. "The Method Of Simulated Maximum Likelihood For The Estimaton Of Dynamic Ordered Probit: An Application To Country-Risk For Non-Developed Countries," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(3), pages 99-133.
    3. Carlos Esteban Posada & José Fernando Escobar, 2003. "Crecimiento Económico y Gasto Público: Una Interpretación de las Experiencias Internacionales y del Caso Colombiano (1982-1999)," Borradores de Economia 2219, Banco de la Republica.

  40. Breitung, Jörg & Gouriéroux, Christian, 1996. "Rank tests for unit roots," SFB 373 Discussion Papers 1996,9, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Chin Wen Cheong & Ng Sew Lai & Nurul Afidah Mohmad Yusof & Khor Chia Ying, 2012. "Asymmetric Fractionally Integrated Volatility Modelling of Asian Equity Markets under the Subprime Mortgage Crisis," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 70-84, January.
    2. Onour, Ibrahim, 2009. "Financial Integration of North Africa Stock Markets," MPRA Paper 14938, University Library of Munich, Germany.
    3. Kramer, Walter & Davies, Laurie, 2002. "Testing for unit roots in the context of misspecified logarithmic random walks," Economics Letters, Elsevier, vol. 74(3), pages 313-319, February.
    4. Richard Luger, 2001. "Exact Non-Parametric Tests for a Random Walk with Unknown Drift under Conditional Heteroscedasticity," Staff Working Papers 01-2, Bank of Canada.
    5. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    6. Andrew Davies, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, John Wiley & Sons, vol. 15(4), pages 305-321.
    7. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
    8. Pelagatti, Matteo M. & Sen, Pranab K., 2013. "Rank tests for short memory stationarity," Journal of Econometrics, Elsevier, vol. 172(1), pages 90-105.
    9. Chen, Tsung-Yu & Chou, Pin-Huang & Ko, Kuan-Cheng & Rhee, S. Ghon, 2021. "Non-parametric momentum based on ranks and signs," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 94-109.
    10. Xiao‐Ming Li, 2006. "A Revisit Of International Stock Market Linkages: New Evidence From Rank Tests For Nonlinear Cointegration," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 174-197, May.
    11. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    12. Aparicio, Felipe M., 2003. "On the record properties of integrated time series," DES - Working Papers. Statistics and Econometrics. WS ws036414, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Marc Hallin & Ramon van den Akker & Bas Werker, 2009. "A class of Simple Semiparametrically Efficient Rank-Based Unit Root Tests," Working Papers ECARES 2009_001, ULB -- Universite Libre de Bruxelles.
    14. Aparicio, Felipe M. & Escribano, Álvaro, 1998. "A characterization of cointegrating relationships using induced-order statistics," DES - Working Papers. Statistics and Econometrics. WS 10942, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    16. 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.
    17. Ibrahim Onour, "undated". "North Africa Stock Markets: Analysis of Unit Root and Long Memory Process," API-Working Paper Series 0906, Arab Planning Institute - Kuwait, Information Center.
    18. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.
    19. Mohamed El Hedi Arouri & Jamel Jouini & Duc Khuong Nguyen, 2013. "On the relationship between world oil prices and GCC stock markets," Working Papers hal-00798037, HAL.
    20. Onour, Ibrahim, 2008. "Financial Integration of GCC Capital Markets:Evidence of Nonlinear Cointegration," MPRA Paper 15187, University Library of Munich, Germany.
    21. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2011. "A class of simple distribution-free rank-based unit root tests," Journal of Econometrics, Elsevier, vol. 163(2), pages 200-214, August.
    22. 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).
    23. V. A. Reisen & C. Lévy-Leduc & M. Bourguignon & H. Boistard, 2017. "Robust Dickey–Fuller tests based on ranks for time series with additive outliers," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(1), pages 115-131, January.
    24. Breitung, Jörg, 1998. "Rank tests for nonlinear cointegration," SFB 373 Discussion Papers 1998,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    25. 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.
    26. Stergios B. Fotopoulos & Sung K. Ahn, 2003. "Rank Based Dickey–Fuller Test Statistics," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(6), pages 647-662, November.
    27. Davies, Andrew, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, Elsevier, vol. 15(4), pages 305-321.
    28. Hallin, M. & van den Akker, R. & Werker, B.J.M., 2011. "A Class of Simple Distribution-free Rank-based Unit Root Tests (Revision of DP 2010-72)," Discussion Paper 2011-002, Tilburg University, Center for Economic Research.
    29. Aparicio, Felipe M. & Escribano, Álvaro & García, Ana, 2000. "Syncronicity between macroeconomic time series: an exploratory analysis," DES - Working Papers. Statistics and Econometrics. WS 9922, Universidad Carlos III de Madrid. Departamento de Estadística.
    30. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.
    31. Kenourgios, Dimitris & Samitas, Aristeidis, 2009. "Financial Market Dynamics in an Enlarged European Union," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 24, pages 197-221.
    32. Aparicio, Felipe M. & Escribano, Álvaro, 2003. "Cointegration tests based on record counting statistics," DES - Working Papers. Statistics and Econometrics. WS ws036615, Universidad Carlos III de Madrid. Departamento de Estadística.
    33. Delgado, Miguel A. & Velasco, Carlos, 2005. "Sign tests for long-memory time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 215-251, October.

  41. Lütkepohl, H. & Breitung, J., 1996. "Impulse Response Analysis of Vector Autoregressive Processes," SFB 373 Discussion Papers 1996,86, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Ben Shepherd, 2005. "Market Power in International Commodity Processing Chains: Preliminary Results from the Coffee Market," International Trade 0511013, University Library of Munich, Germany.
    2. BIRMAN Andrei, 2012. "A VAR Analysis on the Monetary Policy Transmission Mechanism in Romania," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    3. Jan Gottschalk & Willem Van Zandweghe, 2003. "Do Bivariate SVAR Models with Long-Run Identifying Restrictions Yield Reliable Results? An Investigation into the Case of Germany," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(I), pages 55-81, March.
    4. Sheng Yang & Ling-Yun He, 2016. "Transport pollution in China – Evidence from Beijing," Energy & Environment, , vol. 27(3-4), pages 377-388, May.
    5. Pelinescu, Elena & Caraiani, Petre, 2006. "Estimating the Real Effective Exchange Rate (REER) by Using the Unit Labor Cost (ULC) in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 3(4), pages 5-22, December.

  42. Breitung, J. & Franses, P. H., 1996. "On Phillips-Perron Type Tests for Seasonal Unit Roots," SFB 373 Discussion Papers 1996,27, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. El Montasser, Ghassen, 2014. "The seasonal KPSS Test: some extensions and further results," MPRA Paper 54920, University Library of Munich, Germany.
    2. Del Barrio Castro, T & Rodrigues, PMM & Taylor, AMR, 2015. "Semi-Parametric Seasonal Unit Root Tests," Essex Finance Centre Working Papers 16807, University of Essex, Essex Business School.
    3. Rodrigues, Paulo M. M. & Taylor, A. M. Robert, 2004. "Alternative estimators and unit root tests for seasonal autoregressive processes," Journal of Econometrics, Elsevier, vol. 120(1), pages 35-73, May.
    4. Shin, Dong Wan & Lee, Oesook, 2007. "Asymmetry and nonstationarity for a seasonal time series model," Journal of Econometrics, Elsevier, vol. 136(1), pages 89-114, January.
    5. Paulo M.M. Rodrigues & A.M. Robert Taylor, 2006. "Efficient Tests of the Seasonal Unit Root Hypothesis," Discussion Papers 06/12, University of Nottingham, School of Economics.
    6. Shin, Dong Wan & Oh, Man-Suk, 2004. "Fully modified semiparametric GLS estimation for regressions with nonstationary seasonal regressors," Journal of Econometrics, Elsevier, vol. 122(2), pages 247-280, October.
    7. Hassler, Uwe & Rodrigues, Paulo M. M., 2002. "Seasonal Unit Root Tests under Structural Breaks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 37696, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Haldrup, Niels Prof. & Montanes, Antonio & Sansó, Andreu, 2000. "Measurement Errors and Outliers in Seasonal Unit Root Testing," University of California at San Diego, Economics Working Paper Series qt0gw7q9hk, Department of Economics, UC San Diego.
    9. Shin, Dong Wan & Oh, Man-Suk, 2000. "Semiparametric tests for seasonal unit roots based on a semiparametric feasible GLSE," Statistics & Probability Letters, Elsevier, vol. 50(3), pages 207-218, November.
    10. Zou, Nan & Politis, Dimitris N., 2021. "Bootstrap seasonal unit root test under periodic variation," Econometrics and Statistics, Elsevier, vol. 19(C), pages 1-21.
    11. Politis, Dimitris, 2016. "HEGY test under seasonal heterogeneity," University of California at San Diego, Economics Working Paper Series qt2q4054kf, Department of Economics, UC San Diego.
    12. El Montasser, Ghassen, 2012. "The seasonal KPSS Test: some extensions and further results," MPRA Paper 45110, University Library of Munich, Germany, revised 04 Mar 2014.
    13. Ghassen El Montasser, 2015. "The Seasonal KPSS Test: Examining Possible Applications with Monthly Data and Additional Deterministic Terms," Econometrics, MDPI, vol. 3(2), pages 1-16, May.
    14. Smith, Richard J. & Robert Taylor, A. M., 2001. "Recursive and rolling regression-based tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 105(2), pages 309-336, December.
    15. Shin, Dong Wan, 2004. "Estimation of spectral density for seasonal time series models," Statistics & Probability Letters, Elsevier, vol. 67(2), pages 149-159, April.
    16. Luis C. Nunes & Paulo M. M. Rodrigues, 2011. "On LM‐type tests for seasonal unit roots in the presence of a break in trend," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(2), pages 108-134, March.
    17. Gabriel Pons, 2006. "Testing Monthly Seasonal Unit Roots With Monthly and Quarterly Information," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(2), pages 191-209, March.
    18. Gregoir, Stephane, 2006. "Efficient tests for the presence of a pair of complex conjugate unit roots in real time series," Journal of Econometrics, Elsevier, vol. 130(1), pages 45-100, January.
    19. Bauer, Dietmar, 2019. "Periodic and seasonal (co-)integration in the state space framework," Economics Letters, Elsevier, vol. 174(C), pages 165-168.

  43. Breitung, J. & Lechner, M., 1995. "GMM-Estimation of Nonlinear Models on Panel Data," SFB 373 Discussion Papers 1995,67, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
    2. Nancy Youssef & Peng Zhou, 2020. "The Effect of Board Structure on Egyptian Mutual Fund Performance: A Structural Equation Model Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(3), pages 1-1, March.
    3. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    4. Panos, Sousounis, 2008. "State dependence in work-related training participation among British employees: A comparison of different random effects probit estimators," MPRA Paper 14261, University Library of Munich, Germany, revised Mar 2009.

  44. Breitung, J. & Franses, P., 1995. "Impulse Response Functions for Periodic Integration," SFB 373 Discussion Papers 1995,43, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Breitung, Jorg & Franses, Philip Hans, 1997. "Impulse response functions for periodic integration," Economics Letters, Elsevier, vol. 55(1), pages 35-40, August.

  45. Breitung, Jörg & Meyer, Wolfgang, 1991. "Testing for Unit Roots in Panel Data: Are Wages on Different Bargaining Levels Cointegrated?," Hannover Economic Papers (HEP) dp-164, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. Damien Neven & Claudine Gouymte, 1995. "Regional Convergence in the European Community," Journal of Common Market Studies, Wiley Blackwell, vol. 33(1), pages 47-65, March.
    2. Cristina Brasili & Luciano Gutierrez, 2004. "Regional convergence across European Union," Development and Comp Systems 0402002, University Library of Munich, Germany.
    3. Damien Neven & Claudine Gouyette & Jean Pisani-Ferry, 1994. "European Integration and Regional Growth," Revue Économique, Programme National Persée, vol. 45(3), pages 703-713.
    4. Klaus Neusser, 1993. "Dynamics of Total Factor Productivities," Revue Économique, Programme National Persée, vol. 44(2), pages 389-418.
    5. Oh, Keun-Yeob, 1996. "Purchasing power parity and unit root tests using panel data," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 405-418, June.
    6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    7. Luciano Gutierrez, 2003. "Common and idiosyncratic shocks to labor productivity across sectors and countries: Is climate relevant?," Macroeconomics 0311008, University Library of Munich, Germany.
    8. Miankhel, Adil Khan & Kalirajan, Kaliappa & Thangavelu, Shandre, 2010. "Integration, decoupling and the global financial crisis: A global perspective," MPRA Paper 22837, University Library of Munich, Germany.
    9. John M. Geppert & Timothy E. Jares & Angeline M. Lavin, 2002. "The Effect of Time‐Series and Cross‐Sectional Heterogeneity on Panel Unit Root Test Power," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(3), pages 321-335, September.
    10. Breuer, Janice B. & McNown, Robert & Wallace, Myles, 2000. "The Quest for Purchasing Power Parity with a Series-specific Unit Root Test Using Panel Data," Working Papers 112956, Clemson University, Center for International Trade.

  46. Bellmann, Lutz & Breitung, Jörg & Wagner, Joachim, 1988. "Bias Correction and Bootstrapping of Error Component Models for Panel Data: Theory and Applications," Hannover Economic Papers (HEP) dp-131, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. Andersson, Michael K. & Karlsson, Sune, 1999. "Bootstrapping Error Component Models," SSE/EFI Working Paper Series in Economics and Finance 304, Stockholm School of Economics, revised 30 Jun 2000.
    2. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2017. "Robust Linear Static Panel Data Models Using ε-Contamination," Center for Policy Research Working Papers 208, Center for Policy Research, Maxwell School, Syracuse University.
    3. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    4. Ricardo De Bonis & Giuseppe Bruno, 2000. "A Comparative Study Of Alternative Econometric Packages: An Application To Italian Deposit Interest Rates," Computing in Economics and Finance 2000 160, Society for Computational Economics.

  47. Breitung, Jörg, 1988. "Estimating Binary Probit Models under First Order Serial Correlation," Hannover Economic Papers (HEP) dp-124, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    Cited by:

    1. Breitung Jörg, 2008. "Assessing the Rationality of Survey Expectations: The Probability Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 630-643, October.

Articles

  1. Jörg Breitung & Malte Knüppel, 2021. "How far can we forecast? Statistical tests of the predictive content," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 369-392, June.
    See citations under working paper version above.
  2. Breitung, Jörg & Salish, Nazarii, 2021. "Estimation of heterogeneous panels with systematic slope variations," Journal of Econometrics, Elsevier, vol. 220(2), pages 399-415.

    Cited by:

    1. Ibirénoyé Romaric Sodjahin & Fabienne Femenia & Obafemi Philippe Koutchade & A. Carpentier, 2022. "On the economic value of the agronomic effects of crop diversification for farmers: estimation based on farm cost accounting data [Valeur économique des effets agronomiques de la diversification de," Working Papers hal-03639951, HAL.
    2. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    3. Vladislav Morozov, 2022. "Inference on Extreme Quantiles of Unobserved Individual Heterogeneity," Papers 2210.08524, arXiv.org, revised Jun 2023.
    4. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).

  3. Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.

    Cited by:

    1. Nicholas Brown & Kyle Butts & Joakim Westerlund, 2023. "Simple Difference-in-Differences Estimation in Fixed-T Panels," Papers 2301.11358, arXiv.org, revised Jun 2023.
    2. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    3. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    4. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    5. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.

  4. Jörg Breitung & Philipp Hansen, 2021. "Correction to: Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 61(6), pages 3557-3558, December.

    Cited by:

    1. Nicholas Brown & Kyle Butts & Joakim Westerlund, 2023. "Simple Difference-in-Differences Estimation in Fixed-T Panels," Papers 2301.11358, arXiv.org, revised Jun 2023.
    2. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    3. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    4. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    5. Yan Sun & Wei Huang, 2022. "Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(1), pages 93-114, January.

  5. Kazuhiko Hayakawa & Meng Qi & Jörg Breitung, 2019. "Double filter instrumental variable estimation of panel data models with weakly exogenous variables," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1055-1088, October.

    Cited by:

    1. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    2. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
    3. Marcelo A. T. Aragão & Fabia A. de Carvalho, 2023. "A Little Less Uncertain about the Relationship between Economic Policy Uncertainty and Economic Activity," Working Papers Series 585, Central Bank of Brazil, Research Department.
    4. Dai, Mi & Nucci, Francesco & Pozzolo, Alberto F. & Xu, Jianwei, 2021. "Access to finance and the exchange rate elasticity of exports," Journal of International Money and Finance, Elsevier, vol. 115(C).
    5. Cambra-Fierro, Jesús & Polo-Redondo, Yolanda & Trifu, Andreea, 2021. "Short-term and long-term effects of touchpoints on customer perceptions," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    6. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    7. Ulrich Eydam & Florian Leupold, 2023. "What is it good for? On the Inflationary Effects of Military Conflicts," CEPA Discussion Papers 65, Center for Economic Policy Analysis.

  6. Breitung, Jörg & Schreiber, Sven, 2018. "Assessing causality and delay within a frequency band," Econometrics and Statistics, Elsevier, vol. 6(C), pages 57-73.
    See citations under working paper version above.
  7. Jörg Breitung & Christoph Wigger, 2018. "Alternative GMM estimators for spatial regression models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(2), pages 148-170, April.
    See citations under working paper version above.
  8. Jörg Breitung & Christoph Roling & Nazarii Salish, 2016. "Lagrange multiplier type tests for slope homogeneity in panel data models," Econometrics Journal, Royal Economic Society, vol. 19(2), pages 166-202, June.

    Cited by:

    1. Anatolyev, Stanislav & Sølvsten, Mikkel, 2023. "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, vol. 236(1).
    2. Shobande, Olatunji & Asongu, Simplice, 2021. "Financial Development, Human Capital Development and Climate Change in East and Southern Africa," MPRA Paper 110639, University Library of Munich, Germany.
    3. Breitung, Jörg & Salish, Nazarii, 2021. "Estimation of heterogeneous panels with systematic slope variations," Journal of Econometrics, Elsevier, vol. 220(2), pages 399-415.
    4. Nnyanzi John Bosco & Oryema John Bosco & Kilimani Nicholas, 2022. "How important are remittances to savings? Evidence from the Latin America and the Caribbean Countries," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 13(1), pages 1-37, January.
    5. 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 (IfW Kiel).
    6. Maha Faisal Alsayegh & Allah Ditta & Zeeshan Mahmood & Rehana Kouser, 2023. "The Role of Sustainability Reporting and Governance in Achieving Sustainable Development Goals: An International Investigation," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

  9. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.

    Cited by:

    1. Joël Cariolle & Petros G Sekeris, 2021. "How export shocks corrupt: theory and evidence," Working Papers hal-03164648, HAL.
    2. Fraga, Jefferson Souza & Resende, Marco Flávio da Cunha, 2022. "Infrastructure, conventions and private investment: An empirical investigation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 351-361.
    3. Shelton Peiris, 2014. "Testing the null hypothesis of zero serial correlation in short panel time series: a comparison of tail probabilities," Statistical Papers, Springer, vol. 55(2), pages 513-523, May.
    4. Christian, Paul & Barrett, Christopher B., 2022. "Spurious Regressions and Panel IV Estimation: Revisiting the Causes of Conflict," I4R Discussion Paper Series 1, The Institute for Replication (I4R).
    5. Huafang Huang & Sharafat Ali & Yasir Ahmed Solangi, 2023. "Analysis of the Impact of Economic Policy Uncertainty on Environmental Sustainability in Developed and Developing Economies," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    6. Berger, Michael & Pock, Markus & Reiss, Miriam & Röhrling, Gerald & Czypionka, Thomas, 2023. "Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms: cross-country evidence from weighted-average least squares estimation," LSE Research Online Documents on Economics 116928, London School of Economics and Political Science, LSE Library.
    7. Hafezali Iqbal Hussain & Azlan Ali & Hassanudin Mohd Thas Thaker & Mohsin Ali, 2019. "Firm Performance and Family Related Directors: Empirical Evidence from an Emerging Market," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(2), June.
    8. Jochmans, K., 2019. "Testing Correlation in Error-Component Models," Cambridge Working Papers in Economics 1993, Faculty of Economics, University of Cambridge.
    9. Miller, Ray & Bairoliya, Neha & Canning, David, 2019. "Health disparities and the socioeconomic gradient in elderly life-cycle consumption," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    10. Bakker, Vincent & Van Vliet, Olaf, 2019. "Social Investment, Employment Outcomes and Policy and Institutional Complementarities: A Comparative Analysis across 26 OECD countries," MPRA Paper 96140, University Library of Munich, Germany.
    11. Tan, Qingmei & Yasmeen, Humaira & Ali, Sharafat & Ismail, Hina & Zameer, Hashim, 2023. "Fintech development, renewable energy consumption, government effectiveness and management of natural resources along the belt and road countries," Resources Policy, Elsevier, vol. 80(C).
    12. Gregory A. Falls & Paul A. Natke & Linlan Xiao, 2022. "College football attendance in the long run: The Football Championship Subdivision," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2172-2183, September.
    13. Koen Jochmans, 2020. "Testing for correlation in error‐component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 860-878, November.
    14. Theologos Dergiades & Costas Milas & Elias Mossialos & Theodore Panagiotidis, 2023. "COVID-19 anti-contagion policies and economic support measures in the USA," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 613-630.
    15. Aditya Prana Iswara & Jerry Dwi Trijoyo Purnomo & Lin-Han Chiang Hsieh & Aulia Ulfah Farahdiba & Andrian Dolfriandra Huruta, 2022. "More Is More? The Inquiry of Reducing Greenhouse Gas Emissions in the Upstream Petroleum Fields of Indonesia," Sustainability, MDPI, vol. 14(11), pages 1-18, June.
    16. A. Fronzetti Colladon & B. Guardabascio & F. Venturini, 2023. "A new mapping of technological interdependence," Papers 2308.00014, arXiv.org, revised Mar 2024.
    17. Boon Teck Tan & Pei Shan Fam & R. B. Radin Firdaus & Mou Leong Tan & Mahinda Senevi Gunaratne, 2021. "Impact of Climate Change on Rice Yield in Malaysia: A Panel Data Analysis," Agriculture, MDPI, vol. 11(6), pages 1-17, June.
    18. Beetsma, Roel & van Spronsen, Josha, 2019. "Unconventional Monetary Policy and Auction Cycles of Eurozone Sovereign Debt," CEPR Discussion Papers 14099, C.E.P.R. Discussion Papers.
    19. Raja Chakir & Alban Thomas, 2022. "Unintended Consequences of Environmental Policies: the Case of Set-aside and Agricultural Intensification [Conséquences involontaires des politiques environnementales : le cas du gel des terres et ," Post-Print hal-03550528, HAL.
    20. Jochmans, K. & Verardi, V., 2019. "xtserialpm: A portmanteau test for serial correlation in a linear panel model," Cambridge Working Papers in Economics 1944, Faculty of Economics, University of Cambridge.
    21. Koengkan, Matheus & Fuinhas, José Alberto & Kazemzadeh, Emad & Osmani, Fariba & Alavijeh, Nooshin Karimi & Auza, Anna & Teixeira, Mônica, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, Elsevier, vol. 169(C), pages 43-54.
    22. Mohammed Mahmud Kakanda, & Basariah Salim, & Sitraselvi Chandren,, 2017. "Do board characteristics and risk management disclosure have any effect on firm performance? Empirical evidence from Deposit Money Banks (DMBs) in Nigeria," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(4), pages 506-521, October.
    23. Chen, Hongrui, 2023. "Energy innovations, natural resource abundance, urbanization, and environmental sustainability in the post-covid era. Does environmental regulation matter?," Resources Policy, Elsevier, vol. 85(PB).
    24. Michael Berger & Markus Pock & Miriam Reiss & Gerald Röhrling & Thomas Czypionka, 2023. "Exploring the effectiveness of demand-side retail pharmaceutical expenditure reforms," International Journal of Health Economics and Management, Springer, vol. 23(1), pages 149-172, March.
    25. Gertler, Pavel & Hofmann, Boris, 2018. "Monetary facts revisited," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 154-170.
    26. Wang, Kun & Rehman, Mubeen Abdur & Fahad, Shah & Linzhao, Zeng, 2023. "Unleashing the influence of natural resources, sustainable energy and human capital on consumption-based carbon emissions in G-7 Countries," Resources Policy, Elsevier, vol. 81(C).
    27. Evangelia Avgeri & Maria Psillaki & Evanthia Zervoudi, 2023. "Peer-to-Peer Lending as a Determinant of Federal Housing Administration-Insured Mortgages to Meet Sustainable Development Goals," Sustainability, MDPI, vol. 15(18), pages 1-30, September.
    28. Gholampour, Vahid, 2022. "Exchange rates and information about future fundamentals," Journal of International Money and Finance, Elsevier, vol. 127(C).
    29. Georgios Mavropoulos & Theodore Panagiotidis, 2020. "Why Young Adults Retreat from Marriage? An Easterlin Relative Income Approach," Discussion Paper Series 2020_01, Department of Economics, University of Macedonia, revised Jan 2020.
    30. Álvarez-Román, Laura & García-Posada, Miguel, 2021. "Are house prices overvalued in Spain? A regional approach," Economic Modelling, Elsevier, vol. 99(C).
    31. Martin Falk & Eva Hagsten & Xiang Lin, 2023. "Uneven domestic tourism demand in times of pandemic," Tourism Economics, , vol. 29(3), pages 596-611, May.
    32. Joseph Jr. Aduba & Hiroshi Izawa, 2021. "Impact of learning through credit and value creation on the efficiency of Japanese commercial banks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    33. Obasa, Rotimi Sunday Mr. & Gurowa, S. U, 2023. "Effect of Information and Communication Technology on Financial Performance of Deposit Money Bank in Nigeria," Thesis Commons c7x45, Center for Open Science.
    34. 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.
    35. Andreas Sachs & Frauke Schleer, 2013. "Labour Market Performance in OECD Countries: A Comprehensive Empirical Modelling Approach of Institutional Interdependencies. WWWforEurope Working Paper No. 7," WIFO Studies, WIFO, number 46851, Juni.
    36. Mahapatra, Bamadev & Irfan, Mohd, 2021. "Asymmetric impacts of energy efficiency on carbon emissions: A comparative analysis between developed and developing economies," Energy, Elsevier, vol. 227(C).
    37. Sachs, Andreas & Schleer, Frauke, 2013. "Labour market performance in OECD countries: A comprehensive empirical modelling approach of institutional interdependencies," ZEW Discussion Papers 13-040, ZEW - Leibniz Centre for European Economic Research.
    38. Ali Meftah Gerged & Khaldoon Albitar & Lara Al‐Haddad, 2023. "Corporate environmental disclosure and earnings management—The moderating role of corporate governance structures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2789-2810, July.
    39. Georgios Mavropoulos & Theodore Panagiotidis, 2023. "The role of relative income in the share of children born out-of-wedlock in the USA," Empirical Economics, Springer, vol. 64(3), pages 1105-1120, March.
    40. Wang, Zheng-Xin & Jv, Yue-Qi, 2022. "A smooth difference-in-differences model for assessing gradual policy effects: Revisiting the impact of banking deregulation on income distribution," Finance Research Letters, Elsevier, vol. 50(C).
    41. Benatti, Nicola & Groiss, Martin & Kelly, Petra & Lopez-Garcia, Paloma, 2023. "Environmental regulation and productivity growth in the euro area: testing the Porter hypothesis," Working Paper Series 2820, European Central Bank.
    42. Koppenberg, Maximilian & Mishra, Ashok K. & Hirsch, Stefan, 2023. "Food Aid and Violent Conflict: A Review of Literature," IZA Discussion Papers 16574, Institute of Labor Economics (IZA).
    43. Gregori, Tullio, 2021. "Protectionism and international trade: A long-run view," International Economics, Elsevier, vol. 165(C), pages 1-13.
    44. Ghouma Ghouma & Hamdi Becha & Maha Kalai & Kamel Helali & Myriam Ertz, 2023. "Do IFRS Disclosure Requirements Reduce the Cost of Equity Capital? Evidence from European Firms," JRFM, MDPI, vol. 16(8), pages 1-19, August.
    45. Bernal Humberto, 2020. "Demand and Supply in the Cocaine Market: An Empirical Study," Journal of Globalization and Development, De Gruyter, vol. 11(1), pages 1-34, June.

  10. Breitung, Jörg & Hafner, Christian M., 2016. "A simple model for now-casting volatility series," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1247-1255.
    See citations under working paper version above.
  11. 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.

    Cited by:

    1. Zongwu Cai & Haiqiang Chen & Xiaosai Liao, 2020. "A New Robust Inference for Predictive Quantile Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202002, University of Kansas, Department of Economics, revised Feb 2020.
    2. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    3. Demetrescu, Matei & Rodrigues, Paulo M.M., 2022. "Residual-augmented IVX predictive regression," Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
    4. Bingduo Yang & Xiaohui Liu & Liang Peng & Zongwu Cai, 2018. "Unified Tests for a Dynamic Predictive Regression," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201808, University of Kansas, Department of Economics, revised Sep 2018.
    5. Harvey, David I & Leybourne, Stephen J & Taylor, AM Robert, 2021. "Simple Tests for Stock Return Predictability with Good Size and Power Properties," Essex Finance Centre Working Papers 29814, University of Essex, Essex Business School.
    6. Georgiev, Iliyan & Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2018. "Testing for parameter instability in predictive regression models," Journal of Econometrics, Elsevier, vol. 204(1), pages 101-118.
    7. Harvey, David I & Leybourne, Stephen J & Sollis, Robert & Taylor, AM Robert, 2020. "Real-Time Detection of Regimes of Predictability in the U.S. Equity Premium," Essex Finance Centre Working Papers 27775, University of Essex, Essex Business School.
    8. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    9. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    10. Paulo M.M. Rodrigues & Matei Demetrescu, 2019. "Testing for Episodic Predictability in Stock Returns," Working Papers w201906, Banco de Portugal, Economics and Research Department.
    11. Fukang Zhu & Mengya Liu & Shiqing Ling & Zongwu Cai, 2020. "Testing for Structural Change of Predictive Regression Model to Threshold Predictive Regression Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202021, University of Kansas, Department of Economics, revised Dec 2020.
    12. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.
    13. Anibal Emiliano Da Silva Neto & Jesús Gonzalo & Jean‐Yves Pitarakis, 2021. "Uncovering Regimes in Out of Sample Forecast Errors from Predictive Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 713-741, June.
    14. Gonzalo, Jesús & Pitarakis, Jean-Yves, 2019. "Predictive Regressions," UC3M Working papers. Economics 28554, Universidad Carlos III de Madrid. Departamento de Economía.
    15. Christis Katsouris, 2024. "Robust Estimation in Network Vector Autoregression with Nonstationary Regressors," Papers 2401.04050, arXiv.org.
    16. Zhishui Hu & Ioannis Kasparis & Qiying Wang, 2020. "Locally trimmed least squares: conventional inference in possibly nonstationary models," Papers 2006.12595, arXiv.org.
    17. Ahmad, Munir & Zhu, Xiwei & Wu, Yiyun, 2022. "The criticality of international tourism and technological innovation for carbon neutrality across regional development levels," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    18. Christis Katsouris, 2023. "Bootstrapping Nonstationary Autoregressive Processes with Predictive Regression Models," Papers 2307.14463, arXiv.org.
    19. Cai, Zongwu & Chen, Haiqiang & Liao, Xiaosai, 2023. "A new robust inference for predictive quantile regression," Journal of Econometrics, Elsevier, vol. 234(1), pages 227-250.

  12. Breitung, Jörg & Eickmeier, Sandra, 2015. "Analyzing business cycle asymmetries in a multi-level factor model," Economics Letters, Elsevier, vol. 127(C), pages 31-34.

    Cited by:

    1. Caporin, Massimiliano & Pelizzon, Loriana & Plazzi, Alberto, 2020. "Does monetary policy impact international market co-movements?," SAFE Working Paper Series 276, Leibniz Institute for Financial Research SAFE.
    2. Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi-country dynamic factor model with stochastic volatility for euro area business cycle analysis," Papers 2001.03935, arXiv.org.
    3. 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.
    4. 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.
    5. Mohammadi, H. & Abolhasani, L. & Shahnoushi, N. & Shabanian, F., 2018. "The effects of business cycle indicators on stock market indices of food industry in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277425, International Association of Agricultural Economists.
    6. Matteo Barigozzi & Angelo Cuzzola & Marco Grazzi & Daniele Moschella, 2021. "Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility," LEM Papers Series 2021/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  13. JÖrg Breitung & Christoph Roling, 2015. "Forecasting Inflation Rates Using Daily Data: A Nonparametric MIDAS Approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(7), pages 588-603, November.

    Cited by:

    1. Edward S. Knotek & Saeed Zaman, 2024. "Nowcasting Inflation," Working Papers 24-06, Federal Reserve Bank of Cleveland.
    2. Shixuan Wang & Rangan Gupta & Yue-Jun Zhang, 2020. "Bear, Bull, Sidewalk, and Crash: The Evolution of the US Stock Market Using Over a Century of Daily Data," Working Papers 202097, University of Pretoria, Department of Economics.
    3. Tesi Aliaj & Milos Ciganovic & Massimiliano Tancioni, 2023. "Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 464-480, April.
    4. Qian Chen & Xiang Gao & Shan Xie & Li Sun & Shuairu Tian & Shigeyuki Hamori, 2021. "On the Predictability of China Macro Indicator with Carbon Emissions Trading," Energies, MDPI, vol. 14(5), pages 1-24, February.
    5. Sarun Kamolthip, 2021. "Macroeconomic forecasting with LSTM and mixed frequency time series data," Papers 2109.13777, arXiv.org.
    6. Friesenbichler, Klaus, 2018. "Inflation and Broadband Revisited: Evidence from an OECD Panel. A replication study of Yi and Choi (Journal of Policy Modeling, 2005)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 2(2018-1), pages 1-21.
    7. El-Shagi, Makram & Schweinitz, Gregor von, 2018. "The joint dynamics of sovereign ratings and government bond yields," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 198-218.
    8. El-Shagi, Makram, 2016. "Much ado about nothing: Sovereign ratings and government bond yields in the OECD," IWH Discussion Papers 22/2016, Halle Institute for Economic Research (IWH).
    9. Philip Hans Franses, 2019. "On inflation expectations in the NKPC model," Empirical Economics, Springer, vol. 57(6), pages 1853-1864, December.
    10. Ooft, Gavin & Bhaghoe, Sailesh & Hans Franses, Philip, 2021. "Forecasting annual inflation in Suriname," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    11. Knotek, Edward S. & Zaman, Saeed, 2023. "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
    12. Simon Lineu Umbach, 2020. "Forecasting with supervised factor models," Empirical Economics, Springer, vol. 58(1), pages 169-190, January.
    13. Qifa Xu & Zezhou Wang & Cuixia Jiang & Yezheng Liu, 2023. "Deep learning on mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2099-2120, December.
    14. Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
    15. Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023. "Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany," Discussion Papers 34/2023, Deutsche Bundesbank.
    16. Hie Joo Ahn & Yun Liu & Yeonwoo Rho, 2020. "Revealing Cluster Structures Based on Mixed Sampling Frequencies," Finance and Economics Discussion Series 2020-082, Board of Governors of the Federal Reserve System (U.S.).
    17. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    18. Klaus S. Friesenbichler & Agnes Kügler & Andreas Reinstaller, 2021. "Does Value Chain Integration Dampen Producer Price Developments? Evidence from the European Union," WIFO Working Papers 602, WIFO.
    19. Yeonwoo Rho & Yun Liu & Hie Joo Ahn, 2020. "Revealing Cluster Structures Based on Mixed Sampling Frequencies," Papers 2004.09770, arXiv.org, revised Feb 2021.
    20. J. Isaac Miller, 2014. "Simple Robust Tests for the Specification of High-Frequency Predictors of a Low-Frequency Series," Working Papers 1412, Department of Economics, University of Missouri.
    21. Tretyakov, Dmitriy & Fokin, Nikita, 2020. "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции? [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper 109556, University Library of Munich, Germany.
    22. Julián Alonso Cárdenas-Cárdenas & Edgar Caicedo-García & Eliana R. González Molano, 2020. "Estimación de la variación del precio de los alimentos con modelos de frecuencias mixtas," Borradores de Economia 1109, Banco de la Republica de Colombia.
    23. Niko Hauzenberger & Massimiliano Marcellino & Michael Pfarrhofer & Anna Stelzer, 2024. "Nowcasting with mixed frequency data using Gaussian processes," Papers 2402.10574, arXiv.org.
    24. Makram El-Shagi & Lunan Jiang, 2023. "How the PBoC´s new MLF affects the yield curve," CFDS Discussion Paper Series 2023/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    25. Nikolaos Antonakakis & David Gabauer & Rangan Gupta, 2018. "International Monetary Policy Spillovers: Evidence from a TVP-VAR," Working Papers 201806, University of Pretoria, Department of Economics.
    26. Selma Toker & Nimet Özbay & Kristofer Månsson, 2022. "Mixed data sampling regression: Parameter selection of smoothed least squares estimator," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 718-751, July.

  14. Jörg Breitung & Robinson Kruse, 2013. "When bubbles burst: econometric tests based on structural breaks," Statistical Papers, Springer, vol. 54(4), pages 911-930, November.

    Cited by:

    1. Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015. "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series 15-07, Swiss Finance Institute.
    2. Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.
    3. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Mark E. Wohar, 2016. "Periodically Collapsing Bubbles in the South African Stock Market," Working Papers 201624, University of Pretoria, Department of Economics.
    4. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    5. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    6. Vicente Esteve & María A. Prats, 2021. "Testing for rational bubbles in Australian housing market from a long-term perspective," Working Papers 2113, Department of Applied Economics II, Universidad de Valencia.
    7. Harvey, David I. & Leybourne, Stephen J. & Sollis, Robert, 2017. "Improving the accuracy of asset price bubble start and end date estimators," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 121-138.
    8. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    9. Anton Skrobotov, 2022. "Testing for explosive bubbles: a review," Papers 2207.08249, arXiv.org.
    10. Riza Demirer & Guilherme Demos & Rangan Gupta & Didier Sornette, 2017. "On the Predictability of Stock Market Bubbles: Evidence from LPPLS ConfidenceTM Multi-scale Indicators," Working Papers 201752, University of Pretoria, Department of Economics.
    11. Esteve Vicente & Prats Maria A., 2021. "Structural Breaks and Explosive Behavior in the Long-Run: The Case of Australian Real House Prices, 1870–2020," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 72-84, January.
    12. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.
    13. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    14. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    15. Franses, Philip Hans, 2016. "A simple test for a bubble based on growth and acceleration," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 160-169.
    16. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2016. "Non-linearities in financial bubbles: Theory and Bayesian evidence from S&P500," Journal of Financial Stability, Elsevier, vol. 24(C), pages 61-70.

  15. Jörg Breitung & Uta Pigorsch, 2013. "A Canonical Correlation Approach for Selecting the Number of Dynamic Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 23-36, February.

    Cited by:

    1. 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.
    2. 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.
    3. Xu Cheng & Zhipeng Liao & Frank Schorfheide, 2016. "Shrinkage Estimation of High-Dimensional Factor Models with Structural Instabilities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1511-1543.
    4. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    5. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    6. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    7. Otter, Pieter W. & Jacobs, Jan P.A.M. & Reijer, Ard H.J. de, 2014. "A criterion for the number of factors in a data-rich environment," Research Report 14008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    8. 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.
    9. In Choi & Rui Lin & Yongcheol Shin, 2020. "Canonical Correlation-based Model Selection for the Multilevel Factors," Working Papers 2008, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    10. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," SFB 649 Discussion Papers SFB649DP2014-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Ruiz Ortega, Esther & Poncela, Pilar, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," DES - Working Papers. Statistics and Econometrics. WS ws1502, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
    13. Gelfer, Sacha, 2020. "The effects of professional forecast dissemination on macroeconomic volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 131-156.
    14. Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016. "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers 2016-23, Department of Economics and Business Economics, Aarhus University.
    15. Barhoumi, K. & Darné, O. & Ferrara, L., 2013. "Dynamic Factor Models: A review of the Literature ," Working papers 430, Banque de France.
    16. Joakim Westerlund & Sagarika Mishra, 2017. "On the determination of the number of factors using information criteria with data-driven penalty," Statistical Papers, Springer, vol. 58(1), pages 161-184, March.
    17. Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-37.
    19. Kappler, Marcus & Schleer, Frauke, 2013. "How many factors and shocks cause financial stress?," ZEW Discussion Papers 13-100, ZEW - Leibniz Centre for European Economic Research.
    20. Zhao Zhao & Guowei Cui & Shaoping Wang, 2017. "A Monte Carlo comparison of estimating the number of dynamic factors," Empirical Economics, Springer, vol. 53(3), pages 1217-1241, November.

  16. Breitung, Jörg & Schmeling, Maik, 2013. "Quantifying survey expectations: What’s wrong with the probability approach?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 142-154.
    See citations under working paper version above.
  17. Joakim Westerlund & Jörg Breitung, 2013. "Lessons from a Decade of IPS and LLC," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 547-591, August.

    Cited by:

    1. Zen, Irina Safitri & Al-Amin, Abul Quasem & Alam, Md. Mahmudul & Doberstein, Brent, 2021. "Magnitudes of Households’ Carbon Footprint in Iskandar Malaysia: A Policy Implications for Sustainable Development," OSF Preprints j5g8e, Center for Open Science.
    2. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Discussion Paper 2013-017, Tilburg University, Center for Economic Research.
    3. Dang, Vinh Q.T. & So, Erin P.K. & Yang, Alan Yu & Chan, Kenneth S., 2020. "China and international market integration: Evidence from the law of one price in the Middle East and Africa," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    4. Kimberly Christensen, 2015. "He-cession? She-cession? The Gendered Impact of the Great Recession in the United States," Review of Radical Political Economics, Union for Radical Political Economics, vol. 47(3), pages 368-388, September.
    5. Masako Ikegami & Zijian Wang, 2023. "Does military expenditure crowd out health-care spending? Cross-country empirics," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1657-1672, April.
    6. Joshua G. Maples & B. Wade Brorsen, 2022. "Handling the discontinuity in futures prices when time series modeling of commodity cash and futures prices," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(2), pages 139-152, June.
    7. Westerlund, Joakim & Narayan, Paresh Kumar & Zheng, Xinwei, 2015. "Testing for stock return predictability in a large Chinese panel," Emerging Markets Review, Elsevier, vol. 24(C), pages 81-100.
    8. Westerlund, Joakim & Sharma, Susan Sunila, 2019. "Panel evidence on the ability of oil returns to predict stock returns in the G7 area," Energy Economics, Elsevier, vol. 77(C), pages 3-12.
    9. Yiannis Karavias & Elias Tzavalis, 2016. "Local Power of Fixed-T Panel Unit Root Tests With Serially Correlated Errors and Incidental Trends," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(2), pages 222-239, March.
    10. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    11. Mitch Kunce, 2022. "The Tenuous Ecological Divorce and Unemployment Link with Suicide: A U.S. Panel Analysis 1968-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(3), pages 1-2.
    12. Vinh Q. T. Dang & Yu (Alan) Yang, 2017. "Assessing Market Integration in ASEAN with Retail Price Data," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 510-532, October.
    13. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
    14. Joakim Westerlund & Mehdi Hosseinkouchack, 2016. "Modified CADF and CIPS Panel Unit Root Statistics with Standard Chi-squared and Normal Limiting Distributions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 347-364, June.
    15. Westerlund, Joakim & Larsson, Rolf, 2015. "New tools for understanding the local asymptotic power of panel unit root tests," Journal of Econometrics, Elsevier, vol. 188(1), pages 59-93.
    16. Becheri, I.G. & Drost, Feike C. & van den Akker, R., 2013. "Asymptotically UMP Panel Unit Root Tests," Other publications TiSEM e34b7d23-8e53-4cea-ba69-5, Tilburg University, School of Economics and Management.
    17. Saptorshee Kanto Chakraborty & Massimiliano Mazzanti, 2021. "Renewable Electricity and Economic Growth relationship in the long run: panel data econometric evidence from the OECD," SEEDS Working Papers 0421, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Apr 2021.
    18. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    19. Furuoka, Fumitaka, 2017. "Renewable electricity consumption and economic development: New findings from the Baltic countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 450-463.
    20. Helmut Herwartz & Yabibal M. Walle, 2018. "A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility," Computational Statistics, Springer, vol. 33(1), pages 379-411, March.
    21. Wichert, Oliver & Becheri, I. Gaia & Drost, Feike C. & van den Akker, Ramon, 2019. "Local Asymptotic Equivalence of the Bai and Ng (2004) and Moon and Perron (2004) Frameworks for Panel Unit Root Testing," Other publications TiSEM 9644bd02-6df0-463d-b041-9, Tilburg University, School of Economics and Management.
    22. 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.
    23. Joakim Westerlund, 2015. "Rethinking the Univariate Approach to Panel Unit Root Testing: Using Covariates to Resolve the Incidental Trend Problem," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 430-443, July.
    24. Im, K S. & Pesaran, M. H. & Shin, Y., 2023. "Reflections on "Testing for Unit Roots in Heterogeneous Panels"," Cambridge Working Papers in Economics 2310, Faculty of Economics, University of Cambridge.
    25. Roy Cerqueti & Mauro Costantini & Luciano Gutierrez & Joakim Westerlund, 2019. "Panel stationary tests against changes in persistence," Statistical Papers, Springer, vol. 60(4), pages 1079-1100, August.
    26. Mitch Kunce, 2023. "Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence," Bulletin of Applied Economics, Risk Market Journals, vol. 10(1), pages 1-19.
    27. Westerlund, Joakim, 2015. "The effect of recursive detrending on panel unit root tests," Journal of Econometrics, Elsevier, vol. 185(2), pages 453-467.
    28. 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.
    29. Yana Petrova, 2020. "On cointegration between the insurance market and economic activity," Empirical Economics, Springer, vol. 59(3), pages 1127-1138, September.
    30. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.
    31. Perevyshin, Yu. & Skrobotov, A., 2017. "The Price Convergence of Individual Goods in the Russian Regions," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 71-102.
    32. Mitch Kunce, 2022. "A 'Natural' Suicide Rate, Hysteresis or Suicide Persistence? Evidence from U.S. State-Level Panel Data, 1980-2020," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(2), pages 1-2.
    33. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.
    34. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    35. Hajamini, Mehdi, 2015. "The non-linear effect of population growth and linear effect of age structure on per capita income: A threshold dynamic panel structural model," Economic Analysis and Policy, Elsevier, vol. 46(C), pages 43-58.
    36. 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.
    37. Westerlund, Joakim & Thuraisamy, Kannan, 2016. "Panel multi-predictor test procedures with an application to emerging market sovereign risk," Emerging Markets Review, Elsevier, vol. 28(C), pages 44-60.
    38. Mehdi Hajamini & Mohammad Ali Falahi, 2014. "The nonlinear impact of government consumption expenditure on economic growth: Evidence from low and low-middle income countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-15, December.
    39. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.
    40. Wichert, Oliver, 2022. "Unit-Root tests in high-dimensional panels," Other publications TiSEM f926ab90-382b-4aa5-9532-8, Tilburg University, School of Economics and Management.
    41. Shuddhasattwa Rafiq & Ruhul Salim, 2014. "Does oil price volatility matter for Asian emerging economies?," Economic Analysis and Policy, Elsevier, vol. 44(4), pages 417-441.
    42. Westerlund, Joakim, 2015. "The power of PANIC," Journal of Econometrics, Elsevier, vol. 185(2), pages 495-509.
    43. Masoud Khodapanah & Zahra Dehghan Shabani & Mohammad Hadi Akbarzadeh & Mahboubeh Shojaeian, 2022. "Spatial spillover effects of corruption in Asian countries: Spatial econometric approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 699-717, August.

  18. Breitung, Jörg & Tenhofen, Jörn, 2011. "GLS Estimation of Dynamic Factor Models," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 1150-1166.

    Cited by:

    1. 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.
    2. Bai, Jushan & Liao, Yuan, 2012. "Efficient Estimation of Approximate Factor Models," MPRA Paper 41558, University Library of Munich, Germany.
    3. Poncela, Pilar & Ruiz, Esther, 2020. "A comment on the dynamic factor model with dynamic factors," Economics Discussion Papers 2020-7, Kiel Institute for the World Economy (IfW Kiel).
    4. Matteo Barigozzi, 2023. "Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models," Papers 2307.09864, arXiv.org, revised Sep 2023.
    5. Lucchetti, Riccardo & Venetis, Ioannis A., 2020. "A replication of "A quasi-maximum likelihood approach for large, approximate dynamic factor models" (Review of Economics and Statistics, 2012)," Economics Discussion Papers 2020-5, Kiel Institute for the World Economy (IfW Kiel).
    6. Jianqing Fan & Yuan Liao & Han Liu, 2016. "An overview of the estimation of large covariance and precision matrices," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 1-32, February.
    7. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    8. Breitung, Jörg & Eickmeier, Sandra, 2011. "Testing for structural breaks in dynamic factor models," Journal of Econometrics, Elsevier, vol. 163(1), pages 71-84, July.
    9. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    10. Jeroen V.K. Rombouts & Jakob Guldbæk Mikkelsen, 2017. "Testing for time-varying loadings in dynamic factor models," CREATES Research Papers 2017-22, Department of Economics and Business Economics, Aarhus University.
    11. Bai, Jushan & Li, Kunpeng, 2012. "Maximum likelihood estimation and inference for approximate factor models of high dimension," MPRA Paper 42099, University Library of Munich, Germany, revised 19 Oct 2012.
    12. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," SFB 649 Discussion Papers SFB649DP2014-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    13. Urga, Giovanni & Wang, Fa, 2022. "Estimation and inference for high dimensional factor model with regime switching," MPRA Paper 113172, University Library of Munich, Germany.
    14. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," PSE Working Papers halshs-02262202, HAL.
    15. Yunus Emre Ergemen, 2016. "Generalized Efficient Inference on Factor Models with Long-Range Dependence," CREATES Research Papers 2016-05, Department of Economics and Business Economics, Aarhus University.
    16. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
    17. Zhou, X. & Solberger, M., 2013. "A Lagrange multiplier-type test for idiosyncratic unit roots in the exact factor model under misspecification," Research Memorandum 058, Maastricht University, Graduate School of Business and Economics (GSBE).
    18. 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.
    19. Rachida Ouysse, 2017. "Constrained principal components estimation of large approximate factor models," Discussion Papers 2017-12, School of Economics, The University of New South Wales.
    20. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach," PIER Working Paper Archive 12-046, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    21. 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).
    22. Bai, Jushan & Li, Kunpeng, 2010. "Theory and methods of panel data models with interactive effects," MPRA Paper 43441, University Library of Munich, Germany, revised Dec 2012.
    23. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised Dec 2023.
    24. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers halshs-02262202, HAL.
    25. Choi, In, 2012. "Efficient Estimation Of Factor Models," Econometric Theory, Cambridge University Press, vol. 28(2), pages 274-308, April.
    26. Riccardo (Jack) Lucchetti & Ioannis A. Venetis, 2019. "Dynamic Factor Models in gretl. The DFM package," gretl working papers 7, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    27. Haruo Iwakura & Ryo Okui, 2014. "Asymptotic Efficiency in Factor Models and Dynamic Panel Data Models," KIER Working Papers 887, Kyoto University, Institute of Economic Research.
    28. In Choi, 2011. "Efficient Estimation of Nonstationary Factor Models," Working Papers 1101, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Jun 2011.
    29. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    30. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    31. Bai, Jushan & Wang, Peng, 2012. "Identification and estimation of dynamic factor models," MPRA Paper 38434, University Library of Munich, Germany.
    32. Pami Dua, 2023. "Macroeconomic Modelling and Bayesian Methods," Springer Books, in: Pami Dua (ed.), Macroeconometric Methods, chapter 0, pages 19-37, Springer.
    33. Jörg Breitung & Sandra Eickmeier, 2014. "Analyzing business and financial cycles using multi-level factor models," CAMA Working Papers 2014-43, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    34. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
    35. 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.
    36. 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.
    37. Bai, Jushan & Liao, Yuan, 2017. "Inferences in panel data with interactive effects using large covariance matrices," Journal of Econometrics, Elsevier, vol. 200(1), pages 59-78.
    38. Dante Amengual & Luca Repetto, 2014. "Testing a Large Number of Hypotheses in Approximate Factor Models," Working Papers wp2014_1410, CEMFI.

  19. Badi Baltagi & Jörg Breitung, 2011. "Introduction to the special issue," Empirical Economics, Springer, vol. 40(1), pages 1-4, February.

    Cited by:

    1. Jonathan Kaminski & Alban Thomas, 2011. "Land Use, Production Growth, and the Institutional Environment of Smallholders: Evidence from Burkinabè Cotton Farmers," Land Economics, University of Wisconsin Press, vol. 87(1), pages 160-182.
    2. Lehel Györfy & Szilárd Madaras, 2017. "Factors Influencing Nuts3 Level Regional Competitiveness In Center Region, Romania. A Panel Regression Analysis," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 11(2), pages 47-61, December.
    3. Asongu Simplice, 2012. "African Stock Market Performance Dynamics: A Multidimensional Convergence Assessment," Working Papers of the African Governance and Development Institute. 12/004, African Governance and Development Institute..
    4. Bruno, Giuseppe & De Bonis, Riccardo & Silvestrini, Andrea, 2012. "Do financial systems converge? New evidence from financial assets in OECD countries," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 141-155.
    5. Simplice A, Asongu, 2012. "African Financial Development Dynamics: Big Time Convergence," MPRA Paper 36053, University Library of Munich, Germany.

  20. Benjamin Born & Jörg Breitung, 2011. "Simple regression‐based tests for spatial dependence," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 330-342, July.
    See citations under working paper version above.
  21. Breitung, Jörg & Eickmeier, Sandra, 2011. "Testing for structural breaks in dynamic factor models," Journal of Econometrics, Elsevier, vol. 163(1), pages 71-84, July.
    See citations under working paper version above.
  22. Ulrich Homm & Jörg Breitung, 2010. "Testing for Speculative Bubbles in Stock Markets: A Comparison of Alternative Methods," Journal of Financial Econometrics, Oxford University Press, vol. 10(1), pages 198-231, 2012 10 1.

    Cited by:

    1. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    2. Jörg Breitung & Robinson Kruse, 2013. "When bubbles burst: econometric tests based on structural breaks," Statistical Papers, Springer, vol. 54(4), pages 911-930, November.
    3. Clark, Steven P. & Coggin, T. Daniel, 2011. "Was there a U.S. house price bubble? An econometric analysis using national and regional panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 189-200, May.
    4. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    5. Wei, Yigang & Li, Yan & Wang, Zhicheng, 2022. "Multiple price bubbles in global major emission trading schemes: Evidence from European Union, New Zealand, South Korea and China," Energy Economics, Elsevier, vol. 113(C).
    6. Riza Demirer & Guilherme Demos & Rangan Gupta & Didier Sornette, 2017. "On the Predictability of Stock Market Bubbles: Evidence from LPPLS ConfidenceTM Multi-scale Indicators," Working Papers 201752, University of Pretoria, Department of Economics.

  23. Breitung Jörg, 2008. "Assessing the Rationality of Survey Expectations: The Probability Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 630-643, October.

    Cited by:

    1. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2010. "Business Survey Data in Forecasting Macroeconomic Indicators with Combined Forecasts," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.
    2. Breitung, Jörg & Schmeling, Maik, 2011. "Quantifying survey expectations: What's wrong with the probability approach?," Hannover Economic Papers (HEP) dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  24. Breitung, Jörg & Das, Samarjit, 2008. "Testing For Unit Roots In Panels With A Factor Structure," Econometric Theory, Cambridge University Press, vol. 24(1), pages 88-108, February.

    Cited by:

    1. Thomas Bittmann & Jens‐Peter Loy & Sven Anders, 2020. "Product differentiation and cost pass‐through: industry‐wide versus firm‐specific cost shocks," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1184-1209, October.
    2. Karbasi, Alireza & Sayyadi, Chiman, 2016. "Effects of Climate Change on Food Expenditures of Rural Households in Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 6(2), June.
    3. Amélie Charles & Olivier Darné & Jean-François Hoarau, 2010. "Does the real GDP per capita convergence hold in the Common Market for Eastern and Southern Africa?," Post-Print hal-00797485, HAL.
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    16. Matteo Lanzafame, 2010. "The nature of regional unemployment in Italy," Empirical Economics, Springer, vol. 39(3), pages 877-895, December.
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    21. Bastos, Felipe de Sousa & Ferreira, Roberto Tatiwa & Arruda, Elano Ferreira, 2018. "Speed of Reversion of Deviations of the Purchasing Power Parity for Brazilian Cities," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 72(1), February.
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    23. Ebenezer Olamide & Andrew Maredza & Kanayo Ogujiuba, 2022. "Monetary Policy, External Shocks and Economic Growth Dynamics in East Africa: An S-VAR Model," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
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    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
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    3. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    4. 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.
    5. Jennifer Castle & David Hendry & Michael P. Clements, 2014. "Robust Approaches to Forecasting," Economics Series Working Papers 697, University of Oxford, Department of Economics.
    6. 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.
    7. Paul Viefers & Ferdinand Fichtner & Simon Junker & Maximilian Podstawski, 2014. "Filtering German Economic Conditions from a Large Dataset: The New DIW Economic Barometer," Discussion Papers of DIW Berlin 1414, DIW Berlin, German Institute for Economic Research.
    8. Nikolaus Hautsch & Fuyu Yang, 2014. "Bayesian Stochastic Search for the Best Predictors: Nowcasting GDP Growth," University of East Anglia Applied and Financial Economics Working Paper Series 056, School of Economics, University of East Anglia, Norwich, UK..
    9. 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.
    10. 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.
    11. David Havrlant & Peter Tóth & Julia Wörz, 2016. "On the optimal number of indicators – nowcasting GDP growth in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 54-72.
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    16. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
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    47. Santiago Etchegaray Alvarez, 2022. "Proyecciones macroeconómicas con datos en frecuencias mixtas. Modelos ADL-MIDAS, U-MIDAS y TF-MIDAS con aplicaciones para Uruguay," Documentos de trabajo 2022004, Banco Central del Uruguay.
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    108. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    109. Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
    110. Eraslan, Sercan & Schröder, Maximilian, 2019. "Nowcasting GDP with a large factor model space," Discussion Papers 41/2019, Deutsche Bundesbank.
    111. Dimitra Lamprou, 2015. "Nowcasting GDP in Greece: A Note on Forecasting Improvements from the Use of Bridge Models," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(1), pages 85-100.
    112. Ryan T. Ball & Eric Ghysels, 2018. "Automated Earnings Forecasts: Beat Analysts or Combine and Conquer?," Management Science, INFORMS, vol. 64(10), pages 4936-4952, October.
    113. Chevillon, Guillaume, 2009. "Multi-step forecasting in emerging economies: An investigation of the South African GDP," International Journal of Forecasting, Elsevier, vol. 25(3), pages 602-628, July.
    114. Gabriel Pino & J. D. Tena & Antoni Espasa, 2016. "Geographical disaggregation of sectoral inflation. Econometric modelling of the Euro area and Spanish economies," Applied Economics, Taylor & Francis Journals, vol. 48(9), pages 799-815, February.
    115. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    116. Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Manuel Menkhoff & Sascha Möhrle & Ann-Christin Rathje & Magnus Reif & Pauliina Sandqv, 2020. "ifo Economic Forecast Winter 2020: The Coronavirus Strikes Back – Another Lockdown Slows the Economy for a Second Time," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(Sonderaus), pages 03-61, December.
    117. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.
    118. Adebayo Kutu & Gbenga Akinola & Ntokozo Nzimande, 2016. "Monetary Policy and Output Growth Forecasting in a SVAR Perspective," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-71, July.
    119. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," VfS Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    120. Martin Solberger & Erik Spånberg, 2020. "Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 875-900, March.
    121. Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: The New Forecast Standard of the ifo Institute," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
    122. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    123. Kitlinski, Tobias, 2015. "With or without you: Do financial data help to forecast industrial production?," Ruhr Economic Papers 558, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    124. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
    125. Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Potjagailo, Galina, 2018. "Deutsche Konjunktur im Frühjahr 2018 - Deutsche Wirtschaft näher am Limit [German Economy Spring 2018 - German economy closer to its limit]," Kieler Konjunkturberichte 41, Kiel Institute for the World Economy (IfW Kiel).
    126. Lenza Michele & Warmedinger Thomas, 2011. "A Factor Model for Euro-area Short-term Inflation Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 50-62, February.
    127. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    128. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    129. Davor Kunovac & Borna Špalat, 2014. "Nowcasting GDP Using Available Monthly Indicators," Working Papers 39, The Croatian National Bank, Croatia.
    130. Stefan Gebauer, 2017. "The Use of Financial Market Variables in Forecasting," DIW Roundup: Politik im Fokus 115, DIW Berlin, German Institute for Economic Research.
    131. Marta Bañbura, 2009. "Essays in dynamic macroeconometrics," ULB Institutional Repository 2013/210294, ULB -- Universite Libre de Bruxelles.
    132. Steffen Henzel & Robert Lehmann & Klaus Wohlrabe, 2015. "Die Machbarkeit von Kurzfristprognosen für den Freistaat Sachsen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 22(04), pages 21-25, August.
    133. Fang, Yi & Shao, Zhiquan, 2022. "The Russia-Ukraine conflict and volatility risk of commodity markets," Finance Research Letters, Elsevier, vol. 50(C).
    134. Katja Rietzler & Sabine Stephan, 2012. "Monthly recession predictions in real time: A density forecast approach for German industrial production," IMK Working Paper 94-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    135. Ruey Yau & C. James Hueng, 2019. "Nowcasting GDP Growth for Small Open Economies with a Mixed-Frequency Structural Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 177-198, June.
    136. Michael Pfarrhofer, 2020. "Forecasts with Bayesian vector autoregressions under real time conditions," Papers 2004.04984, arXiv.org.

  26. Eickmeier, Sandra & Breitung, Jorg, 2006. "How synchronized are new EU member states with the euro area? Evidence from a structural factor model," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 538-563, September.

    Cited by:

    1. Eickmeier Sandra & Hofmann Boris & Worms Andreas, 2009. "Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area," German Economic Review, De Gruyter, vol. 10(2), pages 193-223, May.
    2. 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.
    3. Balázs Égert, 2007. "Real Convergence, Price Level Convergence and Inflation in Europe," Working Papers 267, Bruegel.
    4. 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.
    5. Andrés Rodríguez-Pose & Ugo Fratesi, 2006. "Regional business cycles and the emergence of sheltered economies in the southern periphery of Europe," Bruges European Economic Research Papers 7, European Economic Studies Department, College of Europe.
    6. Nektarios Aslanidis, 2010. "Business Cycle Synchronization Between The Ceec And The Euro‐Area: Evidence From Threshold Seemingly Unrelated Regressions," Manchester School, University of Manchester, vol. 78(6), pages 538-555, December.
    7. Bojeşteanu, Elena & Manu, Ana Simona, 2011. "Analiza empirică a sincronizării ciclului de afaceri şi a similarităţii şocurilor între România şi zona euro [Empirical analysis of business cycle synchronization and shock similarity between Roman," MPRA Paper 31295, University Library of Munich, Germany.
    8. Aslanidis, Nektarios, 2007. "Business Cycle Regimes in CEECs Production: A Threshold SURE Approach," Working Papers 2072/5318, Universitat Rovira i Virgili, Department of Economics.
    9. Balazs Egert, 2007. "Real Convergence, Price Level Convergence and Inflation Differentials in Europe," William Davidson Institute Working Papers Series wp895, William Davidson Institute at the University of Michigan.
    10. Potjagailo, Galina, 2017. "Spillover effects from Euro area monetary policy across Europe: A factor-augmented VAR approach," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 127-147.
    11. Mr. Martin Cihak & Mr. Wim Fonteyne, 2009. "Five Years After: European Union Membership and Macro-Financial Stability in the New Member States," IMF Working Papers 2009/068, International Monetary Fund.
    12. Gábor Pellényi, 2012. "The Sectoral Effects of Monetary Policy in Hungary: A Structural Factor Analysis," MNB Working Papers 2012/1, Magyar Nemzeti Bank (Central Bank of Hungary).
    13. Eickmeier, Sandra, 2004. "Business Cycle Transmission from the US to Germany: a Structural Factor Approach," Discussion Paper Series 1: Economic Studies 2004,12, Deutsche Bundesbank.
    14. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
    15. Michael G. Arghyrou & Maria Dolores Gadea, 2008. "The single monetary policy and domestic macro-fundamentals: Evidence from Spain," Documentos de Trabajo dt2008-05, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    16. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
    17. Petrovska Magdalena & Tonovska Jasna & Nikolov Miso & Sulejmani Artan, 2022. "Evaluating Monetary Policy Effectiveness in North Macedonia: Evidence from a Bayesian Favar Framework," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 67-82, December.
    18. Eickmeier, Sandra, 2009. "Analyse der Übertragung US-amerikanischer Schocks auf Deutschland auf Basis eines FAVAR," Working Papers 04/2009, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    19. Gächter, Simon & Riedl, Alesandra & Ritzberger-Grünwald, Doris, 2013. "Business cycle convergence or decoupling? Economic adjustment in CESEE during the crisis," BOFIT Discussion Papers 3/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
    20. Stefano IACUS & Giuseppe PORRO, 2013. "Does European Monetary Union make inflation dynamics more uniform?," Departmental Working Papers 2013-12, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    21. Potjagailo, Galina, 2016. "Spillover effects from euro area monetary policy across the EU: A factor-augmented VAR approach," Kiel Working Papers 2033, Kiel Institute for the World Economy (IfW Kiel).
    22. Magnus Reif, 2021. "Time-Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," CESifo Working Paper Series 9271, CESifo.
    23. Eickmeier Sandra, 2010. "Analyse der Übertragung US-amerikanischer Schocks auf Deutschland auf Basis eines FAVAR / A FAVAR-based Analysis of the Transmission of US Shocks to Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 571-600, October.
    24. Leo Krippner & Sandra Eickmeier & Julia von Borstel, 2015. "The interest rate pass-through in the euro area during the sovereign debt crisis," Reserve Bank of New Zealand Discussion Paper Series DP2015/03, Reserve Bank of New Zealand.
    25. Tadeusz Kufel, 2021. "Covid-19 Pandemic Lockdown vs. Business Cycle Clock Registration of New Passenger Cars in European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 875-890.
    26. Mr. Francisco d Nadal De Simone & Alain N. Kabundi, 2007. "France in the Global Economy: A Structural Approximate Dynamic Factor Model Analysis," IMF Working Papers 2007/129, International Monetary Fund.
    27. ONATSKI, Alexei & RUGE-MURCIA, Francisco J., 2010. "Factor Analysis of a Large DSGE Model," Cahiers de recherche 17-2010, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    28. Zlatina Balabanova & Ralf Brüggemann, 2012. "External Information and Monetary Policy Transmission in New EU Member States: Results from FAVAR Models," Working Paper Series of the Department of Economics, University of Konstanz 2012-05, Department of Economics, University of Konstanz.
    29. António Rua & Artur Silva Lopes, 2012. "Cohesion within the euro area and the U. S.: a wavelet-based view," Working Papers w201204, Banco de Portugal, Economics and Research Department.
    30. Jarko Fidrmuc & Iikka Korhonen, 2006. "Meta-Analysis of the Business Cycle Correlation between the Euro Area and the CEECs," CESifo Working Paper Series 1693, CESifo.
    31. Goran Petrevski & Jane Bogoev & Dragan Tevdovski, 2015. "The transmission of foreign shocks to South Eastern European economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 747-767, November.
    32. Dinu, Marin & Marinas, Marius-Corneliu & Socol, Cristian & Socol, Aura-Gabriela, 2014. "Testing the Endogeneity of Trade and Financial Integration and Sectoral Specialization in an Enlarged Euro Area," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 86-104, March.
    33. Jean Boivin & Marc P. Giannoni & Benoît Mojon, 2008. "How Has the Euro Changed the Monetary Transmission?," NBER Working Papers 14190, National Bureau of Economic Research, Inc.
    34. Akbari Dehbaghi, Simin & Arman, Seyed Aziz & Ahangari, Majid, 2020. "The Impact of Domestic and Foreign Monetary Policy on Iran\'s economy: Global Modeling," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 151-180, April.
    35. Jiang, Yonghong & Nie, He & Monginsidi, Joe Yohanes, 2017. "Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests," Economic Modelling, Elsevier, vol. 64(C), pages 384-398.
    36. Sandra Eickmeier, 2009. "Comovements and heterogeneity in the euro area analyzed in a non-stationary dynamic factor model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 933-959.
    37. Jean Boivin & Marc P. Giannoni & Benoît Mojon, 2009. "How Has the Euro Changed the Monetary Transmission Mechanism?," NBER Chapters, in: NBER Macroeconomics Annual 2008, Volume 23, pages 77-125, National Bureau of Economic Research, Inc.
    38. Bettina Becker & Stephen G. Hall, 2007. "A New Look at Economic Convergence in Europe: A Common Factor Approach," Discussion Paper Series 2007_09, Department of Economics, Loughborough University, revised Feb 2007.
    39. Ftiti, Zied & Guesmi, Khaled & Abid, Ilyes, 2016. "Oil price and stock market co-movement: What can we learn from time-scale approaches?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 266-280.
    40. Petrevski, Goran & Exterkate, Peter & Tevdovski, Dragan & Bogoev, Jane, 2015. "The transmission of foreign shocks to South Eastern European economies: A Bayesian VAR approach," Economic Systems, Elsevier, vol. 39(4), pages 632-643.
    41. Elena Bojesteanu & Gabriel Bobeică, 2011. "The propagation of European monetary policy shocks into Romania's economy," Applied Economics Letters, Taylor & Francis Journals, vol. 18(5), pages 461-465.
    42. Rafiq, M.S., 2011. "The optimality of a gulf currency union: Commonalities and idiosyncrasies," Economic Modelling, Elsevier, vol. 28(1-2), pages 728-740, January.
    43. Piotr Krupa & Paweł Skrzypczyński, 2012. "Are business cycles in the US and emerging economies synchronized?," NBP Working Papers 111, Narodowy Bank Polski.
    44. Martin Gächter & Aleksandra Riedl & Doris Ritzberger-Grünwald, 2013. "Business cycle convergence or decoupling? Economic adjustment of CESEE countries during the crisis," Chapters, in: Ewald Nowotny & Peter Mooslechner & Doris Ritzberger-Grünwald (ed.), A New Model for Balanced Growth and Convergence, chapter 10, pages 147-169, Edward Elgar Publishing.
    45. Lindman, Sebastian & Tuvhag, Tom & Jayasekera, Ranadeva & Uddin, Gazi Salah & Troster, Victor, 2020. "Market Impact on financial market integration: Cross-quantilogram analysis of the global impact of the euro," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 42-73.
    46. Rafiq, M.S., 2011. "The optimality of a gulf currency union: Commonalities and idiosyncrasies," Economic Modelling, Elsevier, vol. 28(1), pages 728-740.

  27. Hassler, Uwe & Breitung, Jörg, 2006. "A Residual-Based Lm-Type Test Against Fractional Cointegration," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1091-1111, December.

    Cited by:

    1. 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.
    2. Uwe Hassler & Paulo M.M. Rodrigues & Antonio Rubia, 2016. "Quantile Regression for Long Memory Testing: A Case of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 693-724.
    3. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2019. "A Comparison of Semiparametric Tests for Fractional Cointegration," Hannover Economic Papers (HEP) dp-651, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    5. Rodrigues, Paulo M.M. & Sibbertsen, Philipp & Voges, Michelle, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets' equilibrium," Hannover Economic Papers (HEP) dp-656, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    7. Martins, Luis F. & Rodrigues, Paulo M.M., 2014. "Testing for persistence change in fractionally integrated models: An application to world inflation rates," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 502-522.
    8. Uwe Hassler & Barbara Meller, 2014. "Detecting multiple breaks in long memory the case of U.S. inflation," Empirical Economics, Springer, vol. 46(2), pages 653-680, March.
    9. Lasak, Katarzyna, 2010. "Likelihood based testing for no fractional cointegration," Journal of Econometrics, Elsevier, vol. 158(1), pages 67-77, September.
    10. Jorge M. L. Andraz & Raúl F. C. Guerreiro & Paulo M. M. Rodrigues, 2018. "Persistence of travel and leisure sector equity indices," Empirical Economics, Springer, vol. 54(4), pages 1801-1825, June.
    11. Avarucci, M. & Velasco, C., 2008. "A wald test for the cointegration rank in nonstationary fractional systems," Research Memorandum 049, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    12. Demetrescu, Matei & Kusin, Vladimir & Salish, Nazarii, 2022. "Testing for no cointegration in vector autoregressions with estimated degree of fractional integration," Economic Modelling, Elsevier, vol. 108(C).

  28. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 27-42, March.
    See citations under working paper version above.
  29. Linzert, Tobias & Nautz, Dieter & Breitung, Jorg, 2006. "Bidder behavior in central bank repo auctions: Evidence from the Bundesbank," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(3), pages 215-230, July.

    Cited by:

    1. Arnold, Ivo J.M. & Soederhuizen, Beau, 2018. "Bank stability and refinancing operations during the crisis: Which way causality?," Research in International Business and Finance, Elsevier, vol. 43(C), pages 79-89.
    2. Ben R. Craig & Falko Fecht & Gunseli Tumer-Alkan, 2014. "The Role of Interbank Relationships and Liquidity Needs," Working Papers (Old Series) 1421, Federal Reserve Bank of Cleveland.
    3. Linzert, Tobias & Schmidt, Sandra, 2007. "What Explains the Spread Between the Euro Overnight Rate and the ECB's Policy Rate?," ZEW Discussion Papers 07-076, ZEW - Leibniz Centre for European Economic Research.
    4. Affinito, Massimiliano, 2013. "Central bank refinancing, interbank markets and the hypothesis of liquidity hoarding: evidence from a euro-area banking system," Working Paper Series 1607, European Central Bank.
    5. Ben R. Craig & Falko Fecht, 2006. "The Eurosystem money market auctions: a banking perspective," Working Papers (Old Series) 0506, Federal Reserve Bank of Cleveland.
    6. Ulrich Bindseil & Kjell G. Nyborg & Ilya A. Strebulaev, 2009. "Repo Auctions and the Market for Liquidity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1391-1421, October.
    7. Kraenzlin, Sébastien & Schlegel, Martin, 2012. "Bidding behavior in the SNB’s repo auctions," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 170-188.
    8. Linzert, Tobias & Schmidt, Sandra, 2008. "What explains the spread between the euro overnight rate and the ECB's policy rate?," Working Paper Series 983, European Central Bank.
    9. Linzert, Tobias & Nautz, Dieter & Bindseil, Ulrich, 2007. "Bidding behavior in the longer term refinancing operations of the European Central Bank: Evidence from a panel sample selection model," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1521-1543, May.
    10. Eisenschmidt, Jens & Hirsch, Astrid & Linzert, Tobias, 2009. "Bidding behaviour in the ECB's main refinancing operations during the financial crisis," Working Paper Series 1052, European Central Bank.
    11. Vergote, Olivier & Sugo, Tomohiro, 2020. "Who takes the ECB’s targeted funding?," Working Paper Series 2439, European Central Bank.

  30. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.

    Cited by:

    1. Oryani, Bahareh & Kamyab, Hesam & Mоridiаn, Аli & Azizi, Zahra & Rezania, Shahabaldin & Chelliapan, Shreeshivadasan, 2022. "Does structural change boost the energy demand in a fossil fuel-driven economy? New evidence from Iran," Energy, Elsevier, vol. 254(PC).
    2. Soumen Rej & Barnali Nag & Md. Emran Hossain, 2022. "Can Renewable Energy and Export Help in Reducing Ecological Footprint of India? Empirical Evidence from Augmented ARDL Co-Integration and Dynamic ARDL Simulations," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    3. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    4. Konstantakis, Konstantinos N. & Xidonas, Panos & Michaelides, Panayotis G. & Goutte, Stéphane, 2023. "Gold and CoVid-19: Uncovering the safe haven hypothesis with dynamic MSR modeling," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Sangram Keshari Jena & Aviral Kumar Tiwari & Amarnath Mitra, 2019. "Put–Call Ratio Volume vs. Open Interest in Predicting Market Return: A Frequency Domain Rolling Causality Analysis," Economies, MDPI, vol. 7(1), pages 1-10, March.
    6. Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for causality between climate policies and carbon emissions reduction," Finance Research Letters, Elsevier, vol. 55(PA).
    7. Adebayo, Tomiwa Sunday & AbdulKareem, Hauwah K.K. & Bilal, & Kirikkaleli, Dervis & Shah, Muhammad Ibrahim & Abbas, Shujaat, 2022. "CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: The role of renewable and non-renewable energy development," Renewable Energy, Elsevier, vol. 189(C), pages 492-501.
    8. Argyropoulos, Christos & Candelon, Bertrand & Hasse, Jean-Baptiste & Panopoulou, Ekaterini, 2020. "Toward a macroprudential regulatory framework for mutual funds," LIDAM Discussion Papers LFIN 2020008, Université catholique de Louvain, Louvain Finance (LFIN).
    9. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    10. Magazzino, Cosimo & Drago, Carlo & Schneider, Nicolas, 2023. "Evidence of supply security and sustainability challenges in Nigeria's power sector," LSE Research Online Documents on Economics 119355, London School of Economics and Political Science, LSE Library.
    11. Brou Emmanuel AKA, 2023. "Revisiting the finance-growth nexus in Nigeria using frequency domain approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(637), W), pages 265-280, Winter.
    12. José Eduardo Gómez & Jair Ojeda Joya & Fernando Tenjo Galarza & Héctor Manuel Zárate Solano, 2013. "The Interdependence between Credit and Real Business Cycles in Latin American Economies," Borradores de Economia 10833, Banco de la Republica.
    13. Till Strohsal & Christian R. Proaño & Jürgen Wolters, 2015. "How Do Financial Cycles Interact? Evidence from the US and the UK," SFB 649 Discussion Papers SFB649DP2015-024, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Aydin, Mucahit, 2018. "Natural gas consumption and economic growth nexus for top 10 natural Gas–Consuming countries: A granger causality analysis in the frequency domain," Energy, Elsevier, vol. 165(PB), pages 179-186.
    15. Theologos Dergiades & Panos K. Pouliasis, 2021. "Should Stock Returns Predictability be hooked on Long Horizon Regressions?," Discussion Paper Series 2021_03, Department of Economics, University of Macedonia, revised Feb 2021.
    16. Gerlach, Stefan & Assenmacher, Katrin, 2006. "Money at Low Frequencies," CEPR Discussion Papers 5868, C.E.P.R. Discussion Papers.
    17. Kayhan, Selim & Bayat, Tayfur & Yüzbaşı, Bahadir, 2013. "Government expenditures and trade deficits in Turkey: Time domain and frequency domain analyses," Economic Modelling, Elsevier, vol. 35(C), pages 153-158.
    18. Xu Huang & Hossein Hassani & Mansi Ghodsi & Zinnia Mukherjee & Rangan Gupta, 2016. "Do Trend Extraction Approaches Affect Causality Detection in Climate Change Studies?," Working Papers 201660, University of Pretoria, Department of Economics.
    19. Xie, Mingting & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data," Resources Policy, Elsevier, vol. 76(C).
    20. Wu, Tao & Gao, Xiangyun & An, Sufang & Liu, Siyao, 2021. "Time-varying pattern causality inference in global stock markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
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    277. Tomiwa Sunday Adebayo & Manuel Francisco Coelho & Dilber Çağlar Onbaşıoğlu & Husam Rjoub & Mário Nuno Mata & Paulo Viegas Carvalho & João Xavier Rita & Ibrahim Adeshola, 2021. "Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?," Energies, MDPI, vol. 14(14), pages 1-12, July.
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    282. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
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    289. Chafic Bassam Saliba & Fida Ragheb Hassanein & Seyed Alireza Athari & Hazar Dördüncü & Ephraim Bonah Agyekum & Parise Adadi, 2022. "The Dynamic Impact of Renewable Energy and Economic Growth on CO 2 Emissions in China: Do Remittances and Technological Innovations Matter?," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
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    292. Husam Rjoub & Jamiu Adetola Odugbesan & Tomiwa Sunday Adebayo & Wing-Keung Wong, 2021. "Investigating the Causal Relationships among Carbon Emissions, Economic Growth, and Life Expectancy in Turkey: Evidence from Time and Frequency Domain Causality Techniques," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
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    298. Süssmuth, Bernd, 2019. "Bitcoin and Web Search Query Dynamics: Is the price driving the hype or is the hype driving the price?," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203566, Verein für Socialpolitik / German Economic Association.
    299. Maxwell Chukwudi Udeagha & Nicholas Ngepah, 2022. "Dynamic ARDL Simulations Effects of Fiscal Decentralization, Green Technological Innovation, Trade Openness, and Institutional Quality on Environmental Sustainability: Evidence from South Africa," Sustainability, MDPI, vol. 14(16), pages 1-35, August.
    300. Fuat SEKMEN & Hasmet GOKIRMAK, 2018. "Causal relationship between internet use and economic development for selected Central Asian economies," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(616), A), pages 145-152, Autumn.
    301. Aydin, Mucahit, 2019. "Renewable and non-renewable electricity consumption–economic growth nexus: Evidence from OECD countries," Renewable Energy, Elsevier, vol. 136(C), pages 599-606.
    302. Theologos Dergiades & Eleni Mavragani & Bing Pan, 2017. "Arrivals of Tourists in Cyprus: Mind the Web Search Intensity," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 107, Hellenic Observatory, LSE.
    303. Steve Hyun & Jimin Lee & Jong-Min Kim & Chulhee Jun, 2019. "What Coins Lead in the Cryptocurrency Market: Using Copula and Neural Networks Models," JRFM, MDPI, vol. 12(3), pages 1-14, August.
    304. Dervis Kirikkaleli & Andrew Adewale Alola, 2023. "The regime switching evidence of financial-economic-political risk in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3747-3762, August.

  31. Jörg Breitung & Samarjit Das, 2005. "Panel unit root tests under cross‐sectional dependence," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 414-433, November.
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  32. Jörg Breitung & Bertrand Candelon, 2005. "Purchasing Power Parity during Currency Crises: A Panel Unit Root Test under Structural Breaks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(1), pages 124-140, April.

    Cited by:

    1. Cellini, Roberto & Paolino, Alessandro, 2007. "Price of recreational products and the exchange rate: an empirical investigation on US data," MPRA Paper 5194, University Library of Munich, Germany.
    2. HOLMES, Mark J, 2008. "Non-Linear Trend Stationarity And Co-Trending In Latin American Real Exchange Rates," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(1), pages 107-118.
    3. 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.
    4. Raheem, Ibrahim & Olabisi, Nafisat, 2019. "What is new? The role of asymmetry and breaks in oil price–output growth volatility nexus," MPRA Paper 105361, University Library of Munich, Germany.
    5. Wagner, Martin, 2005. "On PPP, Unit Roots and Panels," Economics Series 176, Institute for Advanced Studies.
    6. Gozgor, Giray, 2011. "Panel unit root tests of purchasing power parity hypothesis: Evidence from Turkey," MPRA Paper 34370, University Library of Munich, Germany.
    7. Seher Suluk & Kemaletttin Tanr seven, 2018. "Purchasing Power Parity in the Euro Area: Evidence from Structural Break LM Test," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 370-375.
    8. Roberto CELLINI & Alessandro PAOLINO, 2009. "Us Price Indices And The Exchange Rate: Are Recreational Products Different?," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(1(7)_ Spr).
    9. Ahmad Zubaidi Baharumshah & Raj Aggarwal & Chan Tze Haw, 2007. "East Asian Real Exchange Rates and PPP: New Evidence from Panel-data Tests," Global Economic Review, Taylor & Francis Journals, vol. 36(2), pages 103-119.
    10. Mark J. Holmes, 2010. "Are Asia‐Pacific Real Exchange Rates Stationary? A Regime‐Switching Perspective," Pacific Economic Review, Wiley Blackwell, vol. 15(2), pages 189-203, May.
    11. Hsing, Y, 2009. "Functional Forms and PPP: The Case of Canada, the EU, Japan, and the U.K," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    12. Rochna ARORA & Dr. Baljit KAUR, 2020. "Fossil fuel consumption, economic growth and CO2 emissions. Causality evinced from the BRICS world," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(625), W), pages 131-142, Winter.
    13. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.
    14. Vinh Q. T. Dang & Yu (Alan) Yang, 2017. "Assessing Market Integration in ASEAN with Retail Price Data," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 510-532, October.
    15. Hiranya K. Nath & Natalie Hegwood, 2012. "Structural Breaks and Relative Price Convergence among U.S. Cities," Working Papers 1204, Sam Houston State University, Department of Economics and International Business.
    16. Kenneth Clements & Jiawei Si & Long H. Vo, 2019. "The Law of One Food Price," Economics Discussion / Working Papers 19-09, The University of Western Australia, Department of Economics.
    17. Mehmet DINÇ & Mustafa GÖMLEKSIZ2 & Özlem Gül DINÇ, 2022. "What Is New About the PPP Theory in the Nordic Countries? Evidence from Panel Unit Root Tests with Sharp Breaks and Gradual Shifts," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 165-186, April.
    18. Pui Sun Tam & University of Macau, 2006. "Breaking trend panel unit root tests," Computing in Economics and Finance 2006 341, Society for Computational Economics.
    19. Taguchi, Hiroyuki, 2010. "The pre- and post-crisis real exchange rate behavior in selected East Asian countries," MPRA Paper 63789, University Library of Munich, Germany.
    20. Salah A. Nusair, 2008. "Purchasing Power Parity under Regime Shifts: An Application to Asian Countries," Asian Economic Journal, East Asian Economic Association, vol. 22(3), pages 241-266, September.
    21. Vuyo Pikoko & Andrew Phiri, 2018. "Is there hysteresis in South African unemployment? Evidence form the post-recessionary period," Working Papers 1803, Department of Economics, Nelson Mandela University, revised Jan 2018.
    22. Almasri, Abdullah & Månsson, Kristofer & Sjölander, Pär & Shukur, Ghazi, 2012. "Testing for Panel Unit Roots in the Presence of an Unknown Structural Break and Cross-Sectional Dependency," HUI Working Papers 63, HUI Research.
    23. Joakim Westerlund & Johan Blomquist, 2013. "A modified LLC panel unit root test of the PPP hypothesis," Empirical Economics, Springer, vol. 44(2), pages 833-860, April.
    24. Abdullah Noman, 2008. "Testing for PPP in the mean-group panel rgression framework: further evidence," Economics Bulletin, AccessEcon, vol. 6(20), pages 1-12.
    25. Bernard Njindan Iyke, 2017. "The Penn Effect revisited: New evidence from Latin America," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 1364-1379, November.
    26. Georgi MARINOV, 2016. "Small Sample Properties Of Panel Cointegration Tests In The Presence Of Structural Change," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 5(1), pages 35-41, JULY.
    27. Ozdemir, Zeynel Abidin & Cakan, Esin, 2010. "The persistence in real exchange rate: Evidence from East Asian countries," Economic Modelling, Elsevier, vol. 27(5), pages 891-895, September.
    28. Tsangyao Chang & Ding Li & Yang-Cheng Lu & Chia-Hao Lee, 2011. "Purchasing power parity for East-Asia countries: further evidence based on panel stationary test with multiple structural breaks," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3289-3298.
    29. Hiranya K. Nath & Jayanta Sarkar, 2014. "City Relative Price Dynamics in Australia: Are Structural Breaks Important?," The Economic Record, The Economic Society of Australia, vol. 90(288), pages 33-48, March.
    30. Kirikkaleli, Dervis & Sokri, Abderrahmane & Candemir, Mehmet & Ertugrul, Hasan Murat, 2017. "Panel cointegration: Long-run relationship between internet, electricity consumption and economic growth. Evidence from OECD countries," MPRA Paper 114709, University Library of Munich, Germany.
    31. Ritesh Kumar Mishra & Sanjay Sehgal, 2011. "Exchange rates and prices in purchasing power parity framework: Are bilateral real exchange rates stationary?," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 4(3), pages 274-286.
    32. Snaith, Stuart, 2012. "The PPP debate: Multiple breaks and cross-sectional dependence," Economics Letters, Elsevier, vol. 115(3), pages 342-344.
    33. Montecino, Juan Antonio, 2015. "Capital controls and the real exchange rate: Do controls promote disequilibria?," UMASS Amherst Economics Working Papers 2015-02, University of Massachusetts Amherst, Department of Economics.
    34. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2010. "Real Exchange Rates In Latin America: The Ppp Hypothesis And Fractional Integration," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(2), pages 1-21, June.
    35. Yu Hsing, 2009. "The Determination Of The Costa Rica Colon/Usd Exchange Rate," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 3(1), pages 79-87.
    36. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2008. "Are oil shocks permanent or temporary? Panel data evidence from crude oil and NGL production in 60 countries," Energy Economics, Elsevier, vol. 30(3), pages 919-936, May.
    37. Salah A. Nusair & Naser I. Abumustafa, 2012. "Recursive Cointegration Analysis of Purchasing Power Parity: An Application to Asian Countries," The American Economist, Sage Publications, vol. 57(2), pages 196-209, November.
    38. Raheem, Ibrahim D. & Bello, Ajide Kazeem & Agboola, Yusuf H., 2020. "A new insight into oil price-inflation nexus," Resources Policy, Elsevier, vol. 68(C).
    39. S. M. Woahid Murad & Mohammad Amzad Hossain, 2018. "The ASEAN experience of the purchasing power parity theory," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-10, December.
    40. Kim, Bong-Han & Kim, Hong-Kee & Oh, Keun-Yeob, 2009. "The purchasing power parity of Southeast Asian currencies: A time-varying coefficient approach," Economic Modelling, Elsevier, vol. 26(1), pages 96-106, January.
    41. Yu Hsing, 2009. "Functional forms and PPP: new evidence for eight Asian countries," Applied Economics Letters, Taylor & Francis Journals, vol. 16(1), pages 95-98.
    42. Noman, Abdullah, 2008. "Purchasing Power Parity in South Asia: A Panel Data Approach," MPRA Paper 7824, University Library of Munich, Germany.

  33. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    See citations under working paper version above.
  34. Breitung, Jorg & Taylor, A. M. Robert, 2003. "Corrigendum to "Nonparametric tests for unit roots and cointegration" [J. Econom. 108 (2002) 343-363]," Journal of Econometrics, Elsevier, vol. 117(2), pages 401-404, December.

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    1. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    2. Karsten Reichold, 2022. "A Residuals-Based Nonparametric Variance Ratio Test for Cointegration," Papers 2211.06288, arXiv.org, revised Dec 2022.
    3. Nielsen, Morten Ørregaard, 2009. "A Powerful Test Of The Autoregressive Unit Root Hypothesis Based On A Tuning Parameter Free Statistic," Econometric Theory, Cambridge University Press, vol. 25(6), pages 1515-1544, December.
    4. Holmes Mark J. & Panagiotidis Theodore, 2009. "Cointegration and Asymmetric Adjustment: Some New Evidence Concerning the Behavior of the U.S. Current Account," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, June.
    5. Paul Alagidede & Theodore Panagiotidis, 2010. "Can common stocks provide a hedge against inflation? Evidence from African countries," Review of Financial Economics, John Wiley & Sons, vol. 19(3), pages 91-100, August.
    6. Krauss, Christopher & Herrmann, Klaus & Teis, Stefan, 2015. "On the power and size properties of cointegration tests in the light of high-frequency stylized facts," FAU Discussion Papers in Economics 11/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    7. Paulo M. M. Rodrigues & Antonio Rubia, 2004. "On the Small Sample Properties of Dickey Fuller and Maximum Likelihood Unit Root Tests on Discrete-Sampled Short-Term Interest Rates," Econometrics 0405004, University Library of Munich, Germany.
    8. Alagidede, Paul & Panagiotidis, Theodore & Zhang, Xu, 2010. "Why a diversified portfolio should include African assets," Stirling Economics Discussion Papers 2010-15, University of Stirling, Division of Economics.
    9. Aviral Kumar Tiwari, 2012. "Reassessment of Sustainability of Current Account Deficit in India," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 10(1), pages 67-79.
    10. Morten Ø. Nielsen, 2008. "A Powerful Tuning Parameter Free Test Of The Autoregressive Unit Root Hypothesis," Working Paper 1175, Economics Department, Queen's University.
    11. Mark J. Holmes & Theodore Panagiotidis & Abhijit Sharma, 2007. "The Sustainability of India's current account (1950-2003): Evidence from parametric and non-parametric unit root and cointegration tests," Working Paper series 41_07, Rimini Centre for Economic Analysis.
    12. Gary Cornwall & Jeff Chen & Beau Sauley, 2021. "Standing on the Shoulders of Machine Learning: Can We Improve Hypothesis Testing?," Papers 2103.01368, arXiv.org.
    13. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    14. Taylor, A. M. Robert, 2005. "Variance ratio tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 124(1), pages 33-54, January.
    15. Mark J. Holmes & Theodore Panagiotidis & Abhijit Sharma, 2007. "The sustainability of India’S current account," Discussion Paper Series 2007_05, Department of Economics, University of Macedonia, revised Dec 2007.
    16. Niyati Bhanja & Arif Billah Dar, 2019. "Stock returns and inflation: a tale of two periods in India," Economic Change and Restructuring, Springer, vol. 52(4), pages 413-438, November.
    17. Theo Panagiotidis & Mark J Holmes, 2005. "Sustainability and Asymmetric Adjustment: Some New Evidence Concerning Behaviour of the US Current Account," Money Macro and Finance (MMF) Research Group Conference 2005 29, Money Macro and Finance Research Group.
    18. Panagiotidis, Theodore & Rutledge, Emilie, 2007. "Oil and gas markets in the UK: Evidence from a cointegrating approach," Energy Economics, Elsevier, vol. 29(2), pages 329-347, March.
    19. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.

  35. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.

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    2. Morten Ørregaard Nielsen, 2009. "Nonparametric Cointegration Analysis of Fractional Systems With Unknown Integration Orders," CREATES Research Papers 2009-02, Department of Economics and Business Economics, Aarhus University.
    3. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.
    4. Ortiz, Cristian & Alvarado, Rafael & Salinas, Aldo, 2019. "The effect of military spending on output: New evidence at the global and country group levels using panel data cointegration techniques," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 402-414.
    5. Dergiades, Theologos, 2012. "Do investors’ sentiment dynamics affect stock returns? Evidence from the US economy," Economics Letters, Elsevier, vol. 116(3), pages 404-407.
    6. Bosupeng, Mpho & Biza-Khupe, Simangaliso, 2015. "The Impact of Money Supply Volatility on the Fisher Effect –A Botswana Empirical Perspective," MPRA Paper 77920, University Library of Munich, Germany, revised 2015.
    7. Liu Sicen & Anwar Khan & Allauddin Kakar, 2022. "The Role of Disaggregated Level Natural Resources Rents in Economic Growth and Environmental Degradation of BRICS Economies," Biophysical Economics and Resource Quality, Springer, vol. 7(3), pages 1-14, September.
    8. Kunst, R.M. & Franses, Ph.H.B.F., 2009. "Testing for seasonal unit roots in monthly panels of time series," Econometric Institute Research Papers EI 2009-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Antonietti, Roberto & Fontini, Fulvio, 2019. "Does energy price affect energy efficiency? Cross-country panel evidence," Energy Policy, Elsevier, vol. 129(C), pages 896-906.
    10. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Co-integration of Oil and Commodity Prices: A Comprehensive ApproachAbstract," Working Papers fa05-2013, Economics for Energy.
    11. Chen, Shyh-Wei & Xie, Zixiong, 2015. "Testing for current account sustainability under assumptions of smooth break and nonlinearity," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 142-156.
    12. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    13. Stolbov, Mikhail, 2015. "Causality between credit depth and economic growth: Evidence from 24 OECD countries," BOFIT Discussion Papers 15/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    14. Segun Thompson Bolarinwa & Richard Olaolu Olayeni & Xuan Vinh Vo, 2021. "Is there a nonlinear relationship between nonperforming loans and bank profitability? Evidence from dynamic panel threshold," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 649-661, April.
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    146. Ye Cai & Mototsugu Shintani, 2005. "On the Long-Run Variance Ratio Test for a Unit Root," Vanderbilt University Department of Economics Working Papers 0506, Vanderbilt University Department of Economics.
    147. Craigwell, Roland C & Elliott, Wayne A, 2011. "Loan loss provisioning in the commercial banking system of Barbados: practices and determinants," MPRA Paper 33426, University Library of Munich, Germany.
    148. Thomas Lagoarde-Segot & Brian M. Lucey, 2007. "Capital Market Integration in the Middle East and North Africa," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(3), pages 34-57, June.
    149. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    150. Munic Boungnarasy, 2011. "Health care expenditures in Asia countries: Panel data analysis," Economics Bulletin, AccessEcon, vol. 31(4), pages 3169-3178.
    151. Rodrigues, Paulo M.M. & Rubia, Antonio, 2005. "The performance of unit root tests under level-dependent heteroskedasticity," Economics Letters, Elsevier, vol. 89(3), pages 262-268, December.
    152. Óscar Hernán Cerquera-Losada & Libardo Rojas-Velásquez, 2020. "Inversión extranjera directa y crecimiento económico en Colombia," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 28(2), pages 9-26, December.
    153. Mohamed CHIKHI & Ali BENDOB & Ahmed Ramzi SIAGH, 2019. "Day-of-the-week and month-of-the-year effects on French Small-Cap Volatility: the role of asymmetry and long memory," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 221-248, December.
    154. Luis F. Martins & Paulo M. M. Rodrigues, 2022. "Tests for segmented cointegration: an application to US governments budgets," Empirical Economics, Springer, vol. 63(2), pages 567-600, August.
    155. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2011. "Long- and Short-Run Relationships between House and Stock Prices in South Africa: A Nonparametric Approach," Working Papers 201136, University of Pretoria, Department of Economics.
    156. Stefanescu, Răzvan & Dumitriu, Ramona & Nistor, Costel, 2010. "Impactul investitiilor straine directe asupra exporturilor din Romania [Impact of the foreign direct investment on Romanian exports]," MPRA Paper 36563, University Library of Munich, Germany, revised 09 Feb 2012.
    157. Kim Hiang Liow, 2008. "Financial Crisis and Asian Real Estate Securities Market Interdependence: Some Additional Evidence," Journal of Property Research, Taylor & Francis Journals, vol. 25(2), pages 127-155, November.
    158. Zhuyuan Li & Tianxu Hao & Run Zheng, 2022. "The Relationship between Transportation Industry Efficiency, Transportation Structure, and Regional Sustainability Development in China: Based on DEA and PVAR Models," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    159. Taylor, A. M. Robert, 2005. "Variance ratio tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 124(1), pages 33-54, January.
    160. Daiki Maki, 2005. "Asymmetric adjustment of the equilibrium relationship between the nominal interest rate and inflation rate," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-8.
    161. Donald Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Yale School of Management Working Papers amz2581, Yale School of Management, revised 01 Jul 2005.
    162. Segun Thompson Bolarinwa & Olufemi Bodunde Obembe, 2017. "Concentration–Profitability Nexus: New Approach from Causality," Studies in Microeconomics, , vol. 5(1), pages 84-98, June.
    163. Teboho Jeremiah Mosikari & Joel Hinaunye Eita, 2021. "Asymmetric effect of government debt on GDP growth: evidence from Namibia," Public Sector Economics, Institute of Public Finance, vol. 45(4), pages 543-558.
    164. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.
    165. Monika Bours & Ansgar Steland, 2021. "Large‐sample approximations and change testing for high‐dimensional covariance matrices of multivariate linear time series and factor models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(2), pages 610-654, June.
    166. Martin Schmidt, 2009. "The nonlinear behavior of competition: the impact of talent compression on competition," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(1), pages 57-74, January.
    167. Fatima Sharif & Ihsanullah Hussain & Maria Qubtia, 2023. "Energy Consumption, Carbon Emission and Economic Growth at Aggregate and Disaggregate Level: A Panel Analysis of the Top Polluted Countries," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    168. Steland, Ansgar, 2004. "Random walks with drift : a sequential approach," Technical Reports 2004,50, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    169. Razvan Pascalau & Junsoo Lee & Saban Nazlioglu & Yan (Olivia) Lu, 2022. "Johansen‐type cointegration tests with a Fourier function," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 828-852, September.
    170. Oussama Zouabi & Mohamed Kadria, 2016. "The direct and indirect effect of climate change on citrus production in Tunisia: a macro and micro spatial analysis," Climatic Change, Springer, vol. 139(2), pages 307-324, November.
    171. Su, Jen-Je & Amsler, Christine & Schmidt, Peter, 2012. "A note on the size of the KPSS unit root test," Economics Letters, Elsevier, vol. 117(3), pages 697-699.
    172. Jones, Sam, 2015. "Aid Supplies Over Time: Addressing Heterogeneity, Trends, and Dynamics," World Development, Elsevier, vol. 69(C), pages 31-43.
    173. Eun, Cheol S. & Lee, Jinsoo, 2010. "Mean-variance convergence around the world," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 856-870, April.
    174. Robertson, Raymond & Kumar, Anil & Dutkowsky, Donald H., 2014. "Weak-form and strong-form purchasing power parity between the US and Mexico: A panel cointegration investigation," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 241-262.
    175. F. Akpan, Usenobong & E. Abang, Dominic, 2014. "Environmental Quality and Economic Growth: A Panel Analysis of the "U" in Kuznets," MPRA Paper 54461, University Library of Munich, Germany.
    176. Ndoricimpa, Arcade, 2015. "Inflation, output growth and their uncertainties in South Africa: Empirical evidence from an asymmetric multivariate GARCH-M model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 5-17.
    177. Ozgen Sayginsoy, 2004. "Powerful and Serial Correlation Robust Tests of the Economic Convergence Hypothesis," Discussion Papers 04-07, University at Albany, SUNY, Department of Economics.
    178. Peiró, Amado & Belaire-Franch, Jorge & Gonzalo, Maria Teresa, 2012. "Unemployment, cycle and gender," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1167-1175.
    179. Hockmann, Heinrich & Voneki, Eva, 2006. "Price Developments on the World Markets for Milk Products: The Case of Butter," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25491, International Association of Agricultural Economists.
    180. Panagiotidis, Theodore & Rutledge, Emilie, 2007. "Oil and gas markets in the UK: Evidence from a cointegrating approach," Energy Economics, Elsevier, vol. 29(2), pages 329-347, March.
    181. Chen, Zhanshou & Tian, Zheng & Wei, Yuesong, 2010. "Monitoring change in persistence in linear time series," Statistics & Probability Letters, Elsevier, vol. 80(19-20), pages 1520-1527, October.
    182. Clement Olalekan Olaniyi & Olufemi Bodunde Obembe & Emmanuel Oluwole Oni, 2017. "Analysis of the Nexus between CEO Pay and Performance of Non-Financial Listed Firms in Nigeria," African Development Review, African Development Bank, vol. 29(3), pages 429-445, September.
    183. Bibiana Lanzilotta Mernies, 2015. "Expectativas empresariales: consecuencias en el crecimiento en Uruguay," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, March.
    184. 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.
    185. Ozgen Sayginsoy, 2005. "Powerful and Serial Correlation Robust Tests of the Economic Convergence Hypothesis," Econometrics 0503014, University Library of Munich, Germany, revised 11 Mar 2005.
    186. Alonso Cifuentes, Julio César & Jaramillo Flechas, Luis Eduardo, 2019. "Descomponiendo el Efecto del Gasto Público en la Tasa de Cambio Real: Una Aproximación al Caso Colombiano || Decomposing the Effect of Public Spending on the Real Exchange Rate: An Approximation to th," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 91-114, June.
    187. Segun Thompson Bolarinwa & Olufemi Bodunde Obembe, 2019. "Firm Size–Profitability Nexus: An Empirical Evidence from Nigerian Listed Financial Firms," Global Business Review, International Management Institute, vol. 20(5), pages 1109-1121, October.
    188. Mehdi Hosseinkouchack & Uwe Hassler, 2016. "Powerful Unit Root Tests Free of Nuisance Parameters," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 533-554, July.
    189. Olayide, Olawale Emmanuel & Tetteh, Isaac Kow & Popoola, Labode, 2016. "Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture?," Agricultural Water Management, Elsevier, vol. 178(C), pages 30-36.
    190. Saten Kumar, 2016. "Is the US Consumer Credit Asymmetric?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 194-215, May.
    191. Thomas Lagoarde-Segot & Brian M. Lucey, 2008. "The Capital Markets of the Middle East and North African Region: Situation and Characteristics," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(5), pages 68-81, September.
    192. Bui Hoang Ngoc, 2022. "Do Tourism Development and Globalization Reinforce Ecological Footprint? Evidence From RCEP Countries," SAGE Open, , vol. 12(4), pages 21582440221, December.
    193. Roberto Ricciuti, 2004. "Nonlinearity in testing for fiscal sustainability," Money Macro and Finance (MMF) Research Group Conference 2003 80, Money Macro and Finance Research Group.
    194. John L. Glascock & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2018. "Can Investors Hold More Real Estate? Evidence from Statistical Properties of Listed REIT versus Non-REIT Property Companies in the U.S," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 274-302, February.
    195. J. Andrew Hansz & Wikrom Prombutr & Ying Zhang & Tingyu Zhou, 2017. "An Anatomy of the Interrelationship between Equity and Mortgage REITs," International Real Estate Review, Global Social Science Institute, vol. 20(3), pages 287-324.
    196. Maki, Daiki, 2008. "The size performance of a nonparametric unit root test under a variance shift," Statistics & Probability Letters, Elsevier, vol. 78(6), pages 743-748, April.
    197. Daiki Maki & Shin-ichi Kitasaka, 2006. "The equilibrium relationship among money, income, prices, and interest rates: evidence from a threshold cointegration test," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1585-1592.
    198. ap Gwilym, Rhys & Kanas, Angelos & Molyneux, Philip, 2013. "U.S. prompt corrective action and bank risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 239-257.
    199. Martin Schmidt, 2006. "On the evolution of competition: an application of nonlinear tests," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 1-12.
    200. Kunst, Robert M., 2014. "A Combined Nonparametric Test for Seasonal Unit Roots," Economics Series 303, Institute for Advanced Studies.
    201. Breitung, Jorg & Taylor, A. M. Robert, 2003. "Corrigendum to "Nonparametric tests for unit roots and cointegration" [J. Econom. 108 (2002) 343-363]," Journal of Econometrics, Elsevier, vol. 117(2), pages 401-404, December.
    202. Bojaj, Martin M. & Djurovic, Gordana & Fabris, Nikola & Milovic, Nikola, 2023. "Top 1% and inequality connectedness in the EMU and WB," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 139-155.
    203. Eun, Cheol S. & Lee, Jinsoo, 2006. "Mean-Variance Convergence around the World," Working Papers 06-1, University of Pennsylvania, Wharton School, Weiss Center.
    204. Yoon, Gawon, 2016. "Stochastic unit root processes: Maximum likelihood estimation, and new Lagrange multiplier and likelihood ratio tests," Economic Modelling, Elsevier, vol. 52(PB), pages 725-732.

  36. Breitung, Jorg & Hassler, Uwe, 2002. "Inference on the cointegration rank in fractionally integrated processes," Journal of Econometrics, Elsevier, vol. 110(2), pages 167-185, October.
    See citations under working paper version above.
  37. Jörg Breitung & Norman R. Swanson, 2002. "Temporal aggregation and spurious instantaneous causality in multiple time series models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(6), pages 651-665, November.

    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Chi-Young Choi & Nelson Mark & Donggyu Sul, 2004. "Unbiased Estimation of the Half-Life to PPP Convergence in Panel Data," NBER Working Papers 10614, National Bureau of Economic Research, Inc.
    3. Andrea, SILVESTRINI, 2005. "Temporal aggregaton of univariate linear time series models," Discussion Papers (ECON - Département des Sciences Economiques) 2005044, Université catholique de Louvain, Département des Sciences Economiques.
    4. Stefan J. Hock & Sascha Raithel, 2020. "Managing Negative Celebrity Endorser Publicity: How Announcements of Firm (Non)Responses Affect Stock Returns," Management Science, INFORMS, vol. 66(3), pages 1473-1495, March.
    5. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    6. Nicholas Taylor, 2008. "The predictive value of temporally disaggregated volatility: evidence from index futures markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 721-742.
    7. Christian M. Hafner, 2004. "Temporal aggregation of multivariate GARCH processes," Econometric Society 2004 North American Winter Meetings 538, Econometric Society.
    8. Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
    9. Du, Yingxin & Ju, Jiandong & Ramirez, Carlos D. & Yao, Xi, 2017. "Bilateral trade and shocks in political relations: Evidence from China and some of its major trading partners, 1990–2013," Journal of International Economics, Elsevier, vol. 108(C), pages 211-225.
    10. Xinshuai Dong & Haoyue Dai & Yewen Fan & Songyao Jin & Sathyamoorthy Rajendran & Kun Zhang, 2023. "On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors," Papers 2401.05414, arXiv.org, revised Jan 2024.
    11. Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
    12. Ghysels, Eric, 2016. "Macroeconomics and the reality of mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 294-314.
    13. McCrorie, J. Roderick & Chambers, Marcus J., 2006. "Granger causality and the sampling of economic processes," Journal of Econometrics, Elsevier, vol. 132(2), pages 311-336, June.
    14. Dimitra Papadovasilaki & Federico Guerrero & Rattaphon Wuthisatian & Bhraman Gulati, 2022. "The 1920s technological revolution and the crash of 1929: the role of RCA, DuPont, General Motors, and Union Carbide," SN Business & Economics, Springer, vol. 2(5), pages 1-22, May.
    15. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
    16. Wang, Zijun, 2012. "The causal structure of bond yields," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 93-102.
    17. Wang, Zijun & Yang, Jian & Li, Qi, 2007. "Interest rate linkages in the Eurocurrency market: Contemporaneous and out-of-sample Granger causality tests," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 86-103, February.
    18. Qian, Hang, 2013. "Vector Autoregression with Mixed Frequency Data," MPRA Paper 47856, University Library of Munich, Germany.
    19. Chambers, MJ & McCrorie, JR & Thornton, MA, 2017. "Continuous Time Modelling Based on an Exact Discrete Time Representation," Economics Discussion Papers 20497, University of Essex, Department of Economics.
    20. Moonsoo Park & Yanhong Jin & Alan Love, 2011. "Dynamic and contemporaneous causality in a supply chain: an application of the US beef industry," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4785-4801.
    21. Helmut Luetkepohl, 2009. "Forecasting Aggregated Time Series Variables: A Survey," Economics Working Papers ECO2009/17, European University Institute.
    22. Bartsch, Zachary, 2019. "Economic policy uncertainty and dollar-pound exchange rate return volatility," Journal of International Money and Finance, Elsevier, vol. 98(C), pages 1-1.
    23. Grosche, Stephanie, 2012. "Limitations of Granger Causality Analysis to assess the price effects from the financialization of agricultural commodity markets under bounded rationality," Discussion Papers 121868, University of Bonn, Institute for Food and Resource Economics.

  38. Breitung, Jorg, 2001. "Rank Tests for Nonlinear Cointegration," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 331-340, July.
    See citations under working paper version above.
  39. Jörg Breitung & Bertrand Candelon, 2001. "Is There a Common European Business Cycle?: New Insights from a Frequency Domain Analysis," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 331-338.

    Cited by:

    1. Fritz Breuss, 2002. "Was ECB's monetary policy optimal?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 30(3), pages 298-319, September.
    2. Carlos Felipe Jaramillo & Daniel Lederman & Maurizio Bussolo & David Gould & Andrew Mason, 2006. "Challenges of CAFTA : Maximizing the Benefits for Central America," World Bank Publications - Books, The World Bank Group, number 7127, December.
    3. Norbert Fiess, "undated". "Business Cycle Synchronization and Regional Integration: A Case Study for Central America," Working Papers 2005_14, Business School - Economics, University of Glasgow.
    4. Carsten Trenkler & Enzo Weber, 2020. "Identifying shocks to business cycles with asynchronous propagation," Empirical Economics, Springer, vol. 58(4), pages 1815-1836, April.
    5. Fritz Breuss, 2002. "Was ECB's Monetary Policy Optimal?," WIFO Working Papers 173, WIFO.
    6. Chionis, Dionysios & Leon, Costas, 2009. "Synchronization of the Polish and European Business Cycles," The Journal of Economic Asymmetries, Elsevier, vol. 6(1), pages 119-139.
    7. Bertrand Candelon & Jan Piplack & Stefan Straetmans, 2009. "Multivariate Business Cycle Synchronization in Small Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 715-737, October.
    8. Imed Medhioub, 2010. "Business Cycle Synchronization: A Mediterranean Comparison," Working Papers 527, Economic Research Forum, revised 06 Jan 2010.
    9. Leon, Costas, 2006. "The European and the Greek Business Cycles: Are they synchronized?," MPRA Paper 1312, University Library of Munich, Germany.

  40. Jörg Breitung & Christian Wulff, 2001. "Non‐linear Error Correction and the Efficient Market Hypothesis: The Case of German Dual‐Class Shares," German Economic Review, Verein für Socialpolitik, vol. 2(4), pages 419-434, November.

    Cited by:

    1. Xibin Zhang & Robert D. Brooks & Maxwell L. King, 2007. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Monash Econometrics and Business Statistics Working Papers 11/07, Monash University, Department of Econometrics and Business Statistics.
    2. Christian Bayer, 2004. "On the Interaction of Financial Frictions and Fixed Capital Adjustment Costs: Evidence from a Panel of German Firms," Macroeconomics 0410006, University Library of Munich, Germany.

  41. Jörg Breitung, 2001. "A convenient representation for structural vector autoregressions," Empirical Economics, Springer, vol. 26(2), pages 447-459.

    Cited by:

    1. José Ignacio Castillo Manzano & Fernando González Laxe & Lourdes López Valpuesta, 2006. "Una Introducción al Análisis del Tráfico de Contenedores mediante los Vectores Autoregresivos," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 5, pages 1-23, January.
    2. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    3. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2015. "Theoretical Aspects of Modeling of the SVAR [Теоретические Аспекты Моделирования Svar]," Published Papers mak8, Russian Presidential Academy of National Economy and Public Administration.

  42. Breitung, Jorg & Nautz, Dieter, 2001. "The empirical performance of the ECB's repo auctions: evidence from aggregated and individual bidding data," Journal of International Money and Finance, Elsevier, vol. 20(6), pages 839-856, November.

    Cited by:

    1. Funaki, Yukihiko & Shino, Junnosuke & Uto, Nobuyuki, 2020. "Vulnerability of fixed-rate funds-supplying operations to overbidding: An experimental approach," Global Finance Journal, Elsevier, vol. 46(C).
    2. Ewerhart, Christian & Cassola, Nuno & Valla, Natacha, 2012. "Overbidding in fixed rate tenders: The role of exposure risk," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 539-549.
    3. Bindseil, Ulrich & Nyborg, Kjell G. & Strebulaev, Ilya A., 2004. "Bidding and Performance in Repo Auctions: Evidence from ECB Open Market Operations," University of California at Los Angeles, Anderson Graduate School of Management qt9878h0kn, Anderson Graduate School of Management, UCLA.
    4. Christian Ewerhart & Nuno Cassola & Natacha Valla, 2007. "Declining Valuations And Equilibrium Bidding In Central Bank Refinancing Operations," Swiss Finance Institute Research Paper Series 07-22, Swiss Finance Institute.
    5. Affinito, Massimiliano, 2013. "Central bank refinancing, interbank markets and the hypothesis of liquidity hoarding: evidence from a euro-area banking system," Working Paper Series 1607, European Central Bank.
    6. Shino, Junnosuke, 2013. "A positive theory of fixed-rate funds-supplying operations in an accommodative financial environment," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 595-610.
    7. Bindseil, Ulrich, 2002. "Equilibrium bidding in the Eurosystem's open market operations," Working Paper Series 137, European Central Bank.
    8. Ulrich Bindseil & Kjell G. Nyborg & Ilya A. Strebulaev, 2009. "Repo Auctions and the Market for Liquidity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(7), pages 1391-1421, October.
    9. Sébastien Kraenzlin & Martin Schlegel, 2012. "Demand for Reserves and the Central Bank's Management of Interest Rates," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(IV), pages 531-555, December.
    10. Nautz, Dieter & Linzert, Tobias & Breitung, Jörg, 2003. "Bidder Behavior in Repo Auctions without Minimum Bid Rate: Evidence from the Bundesbank," Discussion Paper Series 1: Economic Studies 2003,13, Deutsche Bundesbank.
    11. Sébastien Kraenzlin, 2007. "The characteristics and development of the Swiss franc repurchase agreement market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(2), pages 241-261, June.
    12. Massimiliano Affinito, 2019. "What do almost 20 years of micro data and two crises say about the relationship between central bank and interbank market liquidity? Evidence from Italy," Temi di discussione (Economic working papers) 1238, Bank of Italy, Economic Research and International Relations Area.
    13. Thomas J. Jordan & Peter Kugler, 2004. "Implementing Swiss Monetary Policy: Steering the 3M-Libor with Repo Transactions," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(III), pages 381-393, September.
    14. Falko Fecht & Kjell G. Nyborg & Jörg Rocholl, 2009. "The Price of Liquidity: Bank Characteristics and Market Conditions," CESifo Working Paper Series 2576, CESifo.
    15. Juan Ayuso & Rafael Repullo, 2001. "Why Did the Banks Overbid? An Empirical Model of the Fixed Rate Tenders of the European Cental Bank," Working Papers wp2001_0104, CEMFI.
    16. Linzert, Tobias & Nautz, Dieter & Breitung, Jorg, 2006. "Bidder behavior in central bank repo auctions: Evidence from the Bundesbank," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(3), pages 215-230, July.
    17. Kraenzlin, Sébastien & Schlegel, Martin, 2012. "Bidding behavior in the SNB’s repo auctions," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 170-188.
    18. Linzert, Tobias & Nautz, Dieter & Bindseil, Ulrich, 2004. "The longer term refinancing operations of the ECB," Working Paper Series 359, European Central Bank.
    19. Giuseppe Bruno & Ernesto Maurizio Ordine & Antonio Scalia, 2005. "Banks� participation in the Eurosystem auctions and money market integration," Temi di discussione (Economic working papers) 562, Bank of Italy, Economic Research and International Relations Area.

  43. Victor Gomez & Jorg Breitung, 1999. "The Beveridge–Nelson Decomposition: A Different Perspective with New Results," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(5), pages 527-535, September.
    See citations under working paper version above.
  44. Breitung, Jörg & Franses, Philip Hans, 1998. "On Phillips–Perron-Type Tests For Seasonal Unit Roots," Econometric Theory, Cambridge University Press, vol. 14(2), pages 200-221, April.
    See citations under working paper version above.
  45. Breitung Jörg & Heinemann Maik, 1998. "Short Run Comovement, Persistent Shocks and the Business Cycle / Eine empirische Analyse der Wirkung kurz- und langfristiger Schocks im Konjunkturzyklus," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 217(4), pages 436-448, August.

    Cited by:

    1. Tommaso Ferraresi & Andrea Roventini & Willi Semmler, 2016. "Macroeconomic Regimes, Technological Shocks and Employment Dynamics," Sciences Po publications 2016-19, Sciences Po.

  46. Breitung, Jorg & Gourieroux, Christian, 1997. "Rank tests for unit roots," Journal of Econometrics, Elsevier, vol. 81(1), pages 7-27, November.
    See citations under working paper version above.
  47. Breitung, Jorg & Franses, Philip Hans, 1997. "Impulse response functions for periodic integration," Economics Letters, Elsevier, vol. 55(1), pages 35-40, August.
    See citations under working paper version above.
  48. Jörg Breitung & Michael Lechner, 1996. "Estimation de modèles non linéaires sur données de panel par la méthode des moments généralisés," Économie et Prévision, Programme National Persée, vol. 126(5), pages 191-203.

    Cited by:

    1. Breitung, Jörg & Lechner, Michael, 1998. "Alternative GMM methods for nonlinear panel data models," SFB 373 Discussion Papers 1998,81, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  49. Jorg Breitung, 1994. "Some Simple Tests Of The Moving‐Average Unit Root Hypothesis," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(4), pages 351-370, July.

    Cited by:

    1. Li Shang & Xiaoling Zhang & Decai Tang & Xiaoxue Ma & Chunfeng Lu, 2023. "The Impact of Housing Support Expenditure on Urban Residents’ Consumption—Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-24, June.

  50. Bellmann, L & Breitung, J & Wagner, Joachim, 1989. "Bias Correction and Bootstrapping of Error Component Models for Panel Data: Theory and Applications," Empirical Economics, Springer, vol. 14(4), pages 329-342.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Breitung Jörg & Eickmeier Sandra, 2016. "Analyzing International Business and Financial Cycles using Multi-Level Factor Models: A Comparison of Alternative Approaches," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 177-214, Emerald Group Publishing Limited.

    Cited by:

    1. Ha, Jongrim & Kose, M. Ayhan & Otrok, Christopher & Prasad, Eswar, 2020. "Global Macro-Financial Cycles and Spillovers," IZA Discussion Papers 13000, Institute of Labor Economics (IZA).
    2. Ergemen, Yunus Emre & Rodríguez-Caballero, C. Vladimir, 2023. "Estimation of a dynamic multi-level factor model with possible long-range dependence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 405-430.
    3. Servén, Luis & Abate, Girum Dagnachew, 2020. "Adding space to the international business cycle," Journal of Macroeconomics, Elsevier, vol. 65(C).

  2. Jörg Breitung & In Choi, 2013. "Factor models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 11, pages 249-265, Edward Elgar Publishing.
    • In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised Dec 2011.
    See citations under working paper version above.
  3. Jörg Breitung & Sandra Eickmeier, 2006. "Dynamic Factor Models," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 3, pages 25-40, Springer.
    See citations under working paper version above.
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