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Timothy Vogelsang

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Michael Conlin & Ted O'Donoghue & Timothy J. Vogelsang, 2007. "Projection Bias in Catalog Orders," American Economic Review, American Economic Association, vol. 97(4), pages 1217-1249, September.

    Mentioned in:

    1. Projection Bias in Catalog Orders (AER 2007) in ReplicationWiki ()

Working papers

  1. Vogelsang, Timothy J. & Wagner, Martin, 2011. "Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions," Economics Series 263, Institute for Advanced Studies.

    Cited by:

    1. Miguel à ngel Mendoza-González & Alberto Villagra-Piña, 2021. "Efectos de la Covid-19 y la restricción a la movilidad de las personas sobre el consumo adictivo de cigarros en México, 2005-2020," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-20, Julio - S.
    2. Wagner, Martin & Wied, Dominik, 2014. "Monitoring Stationarity and Cointegration," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100386, Verein für Socialpolitik / German Economic Association.
    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. Julia Reynolds & Leopold Sögner & Martin Wagner, 2021. "Deviations from Triangular Arbitrage Parity in Foreign Exchange and Bitcoin Markets," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 105-146, June.
    5. Knorre, Fabian & Wagner, Martin & Grupe, Maximilian, 2020. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," IHS Working Paper Series 27, Institute for Advanced Studies.
    6. Ihsan Bozok & Bahar Sen Dogan & Caglar Yunculer, 2015. "Estimating Income and Price Elasticity of Turkish Exports with Heterogeneous Panel Time-Series Methods," Working Papers 1526, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.
    8. Martin Wagner & Dominik Wied, 2017. "Consistent Monitoring of Cointegrating Relationships: The US Housing Market and the Subprime Crisis," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 960-980, November.
    9. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    10. Tomas Havranek & Zuzana Irsova & Jiri Schwarz, 2016. "Dynamic elasticities of tax revenue: evidence from the Czech Republic," Applied Economics, Taylor & Francis Journals, vol. 48(60), pages 5866-5881, December.
    11. He, Qing & Korhonen, Iikka & Qian, Zongxin, 2021. "Monetary policy transmission with two exchange rates of a single currency: The Chinese experience," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 558-576.
    12. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
    13. Pellatt , Daniel & Sun, Yixiao, 2020. "Asymptotic F test in Regressions with Observations Collected at High Frequency over Long Span," University of California at San Diego, Economics Working Paper Series qt19f0d9wz, Department of Economics, UC San Diego.
    14. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
    15. Peter C.B. Phillips & Igor Kheifets, 2021. "On Multicointegration," Cowles Foundation Discussion Papers 2306, Cowles Foundation for Research in Economics, Yale University.
    16. Pellatt, Daniel F. & Sun, Yixiao, 2023. "Asymptotic F test in regressions with observations collected at high frequency over long span," Journal of Econometrics, Elsevier, vol. 235(2), pages 1281-1309.
    17. Qing, He & Korhonen, Iikka & Zongxin, Qian, 2017. "Monetary policy transmission with two exchange rates and a single currency: The Chinese experience," BOFIT Discussion Papers 14/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Wagner, Martin & Grabarczyk, Peter & Hong, Seung Hyun, 2020. "Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions," Journal of Econometrics, Elsevier, vol. 214(1), pages 216-255.
    19. Dilem Yıldırım & Ethem Erdem Orman, 2016. "The Feldstein-Horioka Puzzle in the Presence of Structural Breaks: Evidence from China," ERC Working Papers 1601, ERC - Economic Research Center, Middle East Technical University, revised Jan 2016.
    20. Karsten Reichold & Carsten Jentsch, 2022. "A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions," Papers 2204.01373, arXiv.org.
    21. Taha Zaghdoudi & Abdelaziz Hakimi, 2017. "Does external debt- poverty relationship confirm the debtoverhang hypothesis for developing counties?," Economics Bulletin, AccessEcon, vol. 37(2), pages 653-665.

  2. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.

    Cited by:

    1. Onatski, A. & Wang, C., 2018. "Extreme canonical correlations and high-dimensional cointegration analysis," Cambridge Working Papers in Economics 1805, Faculty of Economics, University of Cambridge.
    2. Shahbaz, Muhammad & Shafiullah, Muhammad & Khalid, Usman & Song, Malin, 2020. "A Nonparametric Analysis of Energy Environmental Kuznets Curve in Chinese Provinces," MPRA Paper 100769, University Library of Munich, Germany, revised 19 May 2020.
    3. Peter Pedroni, 2018. "Panel Cointegration Techniques and Open Challenges," Department of Economics Working Papers 2018-09, Department of Economics, Williams College.
    4. Hodelin, Reynaldo Senra, 2022. "Statistical disclosure and economic growth: What is the nexus?," World Development, Elsevier, vol. 160(C).
    5. Jose E. Gomez-Gonzalez & Santiago Gomez-Malagon & Luis F. Melo-Velandia & Daniel Ordoñez-Callamand, 2020. "A rank approach for studying cross-currency bases and the covered interest rate parity," Empirical Economics, Springer, vol. 59(1), pages 357-369, July.

  3. Vogelsang, Timothy J. & Wagner, Martin, 2011. "A Fixed-b Perspective on the Phillips-Perron Unit Root Tests," Economics Series 272, Institute for Advanced Studies.

    Cited by:

    1. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.
    2. Cui, Yu & Khan, Sufyan Ullah & Sauer, Johannes & Kipperberg, Gorm & Zhao, Minjuan, 2023. "Agricultural carbon footprint, energy utilization and economic quality: What causes what, and where?," Energy, Elsevier, vol. 278(PA).
    3. Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
    4. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    5. Vogelsang, Timothy J. & Wagner, Martin, 2011. "Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions," Economics Series 263, Institute for Advanced Studies.
    6. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    7. Hanck, Christoph & Demetrescu, Matei & Kruse, Robinson, 2015. "Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112916, Verein für Socialpolitik / German Economic Association.
    8. Demetrescu, Matei & Kruse, Robinson, 2015. "Testing heteroskedastic time series for normality," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113221, Verein für Socialpolitik / German Economic Association.
    9. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    10. 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.
    11. Stypka, Oliver & Wagner, Martin, 2019. "The Phillips unit root tests for polynomials of integrated processes revisited," Economics Letters, Elsevier, vol. 176(C), pages 109-113.
    12. Anca-Gabriela Turtureanu & Rodica Pripoaie & Carmen-Mihaela Cretu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu, 2022. "A Projection Approach of Tourist Circulation under Conditions of Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    13. Marcio Laurini & Alberto Ohashi, 2014. "A Noisy Principal Component Analysis for Forward Rate Curves," Papers 1408.6279, arXiv.org.
    14. Wagner, Martin & Grabarczyk, Peter & Hong, Seung Hyun, 2020. "Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions," Journal of Econometrics, Elsevier, vol. 214(1), pages 216-255.
    15. Frühwirth, Manfred & Sögner, Leopold, 2015. "Weather and SAD related mood effects on the financial market," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 11-31.
    16. 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.

  4. Hashimzade, Nigar & Vogelsang, Timothy, 2006. "Fixed-b Asymptotic Approximation of the Sampling Behavior of Nonparametric Spectral Density Estimators," Working Papers 06-04, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
    2. Deng, Ai & Perron, Pierre, 2008. "A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change," Journal of Econometrics, Elsevier, vol. 142(1), pages 212-240, January.
    3. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
    4. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed‐b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, January.
    5. Amsler Christine & Schmidt Peter & Vogelsang Timothy J, 2009. "The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-44, December.
    6. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    7. Manuel Landajo & María Presno, 2013. "Nonparametric pseudo-Lagrange multiplier stationarity testing," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 125-147, February.
    8. Sun, Yixiao, 2011. "Robust trend inference with series variance estimator and testing-optimal smoothing parameter," Journal of Econometrics, Elsevier, vol. 164(2), pages 345-366, October.
    9. Vogelsang, Timothy J. & Wagner, Martin, 2011. "Integrated Modified OLS Estimation and Fixed-b Inference for Cointegrating Regressions," Economics Series 263, Institute for Advanced Studies.
    10. Tucker McElroy & Anindya Roy, 2022. "A Review of Seasonal Adjustment Diagnostics," International Statistical Review, International Statistical Institute, vol. 90(2), pages 259-284, August.
    11. Bartalotti, Otavio, 2014. "Theory and Practice of Inference in Regression Discontinuity: A Fixed-Bandwidth Asymptotics Approach," Staff General Research Papers Archive 38297, Iowa State University, Department of Economics.
    12. Landajo, Manuel & Presno, María José, 2010. "Nonparametric pseudo-Lagrange multiplier stationarity testing," MPRA Paper 25659, University Library of Munich, Germany.
    13. Bartalotti, Otávio, 2018. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," ISU General Staff Papers 201802010800001586, Iowa State University, Department of Economics.
    14. Vogelsang, Timothy J. & Wagner, Martin, 2011. "A Fixed-b Perspective on the Phillips-Perron Unit Root Tests," Economics Series 272, Institute for Advanced Studies.
    15. Yang, Jingjing & Vogelsang, Timothy J., 2018. "Finite sample performance of a long run variance estimator based on exactly (almost) unbiased autocovariance estimators," Economics Letters, Elsevier, vol. 165(C), pages 21-27.
    16. Rhys M. Bidder & Ian Dew-Becker, 2014. "Long-Run Risk is the Worst-Case Scenario: Ambiguity Aversion and Non-Parametric Estimation of the Endowment Process," Working Paper Series 2014-16, Federal Reserve Bank of San Francisco.
    17. Sun, Yixiao & Kaplan, David M., 2011. "A New Asymptotic Theory for Vector Autoregressive Long-run Variance Estimation and Autocorrelation Robust Testing," University of California at San Diego, Economics Working Paper Series qt8cx0t4gc, Department of Economics, UC San Diego.
    18. McElroy, Tucker & Politis, Dimitris, 2013. "Spectral Density and Spectral Distribution Inference for Long Memory Time Series via Fixed-b Asymptotics," University of California at San Diego, Economics Working Paper Series qt6164c110, Department of Economics, UC San Diego.
    19. 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.
    20. Politis, D N, 2009. "Higher-Order Accurate, Positive Semi-definite Estimation of Large-Sample Covariance and Spectral Density Matrices," University of California at San Diego, Economics Working Paper Series qt66w826hz, Department of Economics, UC San Diego.
    21. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    22. Muller, Ulrich K., 2007. "A theory of robust long-run variance estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1331-1352, December.
    23. Manuel Landajo & María José Presno, 2010. "Stationarity testing under nonlinear models. Some asymptotic results," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 392-405, September.

  5. Kiefer, Nicholas M. & Vogelsang, Timothy J., 2005. "A New Asymptotic Theory for Heteroskedasticity-Autocorrelation Robust Tests," Working Papers 05-08, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Mr. Eugenio M Cerutti & Mr. Maurice Obstfeld & Haonan Zhou, 2019. "Covered Interest Parity Deviations: Macrofinancial Determinants," IMF Working Papers 2019/014, International Monetary Fund.
    2. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "The impact of the initial condition on robust tests for a linear trend," Discussion Papers 09/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Elif Guneren Genc & Ozlem Deniz Basar, 2017. "The Impact of OECD Countries¡¯ Macroeconomic Factors on Turkey¡¯s Foreign Trade," Research in World Economy, Research in World Economy, Sciedu Press, vol. 8(1), pages 24-36, June.
    4. Dedola, Luca & Georgiadis, Georgios & Gräb, Johannes & Mehl, Arnaud, 2018. "Does a big bazooka matter? Central bank balance-sheet policies and exchange rates," Working Paper Series 2197, European Central Bank.
    5. Kiviet, Jan F. & Niemczyk, Jerzy, 2012. "Comparing the asymptotic and empirical (un)conditional distributions of OLS and IV in a linear static simultaneous equation," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3567-3586.
    6. Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
    7. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    8. Robin Greenwood & Samuel G. Hanson, 2013. "Issuer Quality and Corporate Bond Returns," The Review of Financial Studies, Society for Financial Studies, vol. 26(6), pages 1483-1525.
    9. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
    10. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
    11. Christian Leschinski & Michelle Voges & Philipp Sibbertsen, 2021. "Integration and Disintegration of EMU Government Bond Markets," Econometrics, MDPI, vol. 9(1), pages 1-17, March.
    12. TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2017. "A Term Structure Model of Interest Rates with Quadratic Volatility," Working Paper Series G-1-18, Hitotsubashi University Center for Financial Research.
    13. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    14. Brave, Scott A. & Butters, R. Andrew & Justiniano, Alejandro, 2019. "Forecasting economic activity with mixed frequency BVARs," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1692-1707.
    15. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    16. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    17. Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
    18. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2010. "Robust methods for detecting multiple level breaks in autocorrelated time series," Discussion Papers 10/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    19. Yixiao Sun & Min Seong Kim, 2015. "Asymptotic F-Test in a GMM Framework with Cross-Sectional Dependence," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 210-233, March.
    20. Hansen, Christian B., 2007. "Asymptotic properties of a robust variance matrix estimator for panel data when T is large," Journal of Econometrics, Elsevier, vol. 141(2), pages 597-620, December.
    21. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    22. Ching-Chuan Tsong, 2009. "Assessing the Accuracy of Event Forecasts," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 219-240, July.
    23. Zhuanxin Ding & Yixiao Sun, 2023. "The statistics of time varying cross-sectional information coefficients," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 1-15, February.
    24. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
    25. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    26. Pötscher, Benedikt M. & Preinerstorfer, David, 2016. "Controlling the Size of Autocorrelation Robust Tests," MPRA Paper 75657, University Library of Munich, Germany.
    27. Heejoon Han & Oliver Linton & Tatsushi Oka & Yoon-Jae Whang, 2014. "The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series," Cambridge Working Papers in Economics 1452, Faculty of Economics, University of Cambridge.
    28. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    29. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    30. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    31. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    32. Lu, Ye & Park, Joon Y., 2019. "Estimation of longrun variance of continuous time stochastic process using discrete sample," Journal of Econometrics, Elsevier, vol. 210(2), pages 236-267.
    33. M. Mogliani & T. Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    34. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    35. Sven Otto, 2020. "Unit Root Testing with Slowly Varying Trends," Papers 2003.04066, arXiv.org, revised Aug 2020.
    36. McElroy, Tucker S & Politis, D N, 2011. "Distribution Theory for the Studentized Mean for Long, Short, and Negative Memory Time Series," University of California at San Diego, Economics Working Paper Series qt0dr145dt, Department of Economics, UC San Diego.
    37. Bunzel, Helle, 2006. "FIXED-b ASYMPTOTICS IN SINGLE-EQUATION COINTEGRATION MODELS WITH ENDOGENOUS REGRESSORS," Econometric Theory, Cambridge University Press, vol. 22(4), pages 743-755, August.
    38. Surajit Ray & N. E. Savin, 2008. "The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three-factor Fama-French asset-pricing model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 91-109.
    39. Nawaz, Nasreen, 2017. "Robust Inference by Sub-sampling," MPRA Paper 116721, University Library of Munich, Germany, revised 08 Jun 2019.
    40. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    41. Amsler Christine & Schmidt Peter, 2012. "A Comparison of the Robustness of Several Tests of Short Memory to Autocorrelated Errors," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 56-66, August.
    42. Ray, Surajit & Savin, N.E. & Tiwari, Ashish, 2009. "Testing the CAPM revisited," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 721-733, December.
    43. Kajal Lahiri & Liu Yang, 2018. "Confidence Bands for ROC Curves With Serially Dependent Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 115-130, January.
    44. Dukpa Kim & Pierre Perron, 2006. "Assessing the Relative Power of Structural Break Tests Using a Framework Based on the Approximate Bahadur Slope," Boston University - Department of Economics - Working Papers Series WP2006-063, Boston University - Department of Economics.
    45. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    46. Ulrich K. Müller & Mark W. Watson, 2020. "Low-Frequency Analysis of Economic Time Series," Working Papers 2020-13, Princeton University. Economics Department..
    47. Sun, Jiajing & Hong, Yongmiao & Linton, Oliver & Zhao, Xiaolu, 2022. "Adjusted-range self-normalized confidence interval construction for censored dependent data," Economics Letters, Elsevier, vol. 220(C).
    48. Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
    49. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
    50. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    51. Robin Greenwood & Samuel G. Hanson & Andrei Shleifer & Jakob Ahm Sørensen, 2022. "Predictable Financial Crises," Journal of Finance, American Finance Association, vol. 77(2), pages 863-921, April.
    52. Sun, Yixiao, 2014. "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
    53. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    54. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.
    55. Nicolau, João & Rodrigues, Paulo M.M. & Stoykov, Marian Z., 2023. "Tail index estimation in the presence of covariates: Stock returns’ tail risk dynamics," Journal of Econometrics, Elsevier, vol. 235(2), pages 2266-2284.
    56. Hong, Y. & Linton, O. B. & McCabe, B. & Sun, J. & Wang, S., 2023. "Kolmogorov-Smirnov Type Testing for Structural Breaks: A New Adjusted-Range Based Self-Normalization Approach," Janeway Institute Working Papers 2316, Faculty of Economics, University of Cambridge.
    57. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed‐b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, January.
    58. Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
    59. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
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    2. Sean Holly & Mehdi Raissi, 2009. "The Macroeconomic Effects of European Financial Development: A Heterogenous Panel Analysis," Working Paper / FINESS 1.4, DIW Berlin, German Institute for Economic Research.
    3. Francis M. Kemegue & Marthinus C. Breitenbach & Mulatu F. Zerihun, 2015. "Assessment of Monetary Union in SADC: Evidence from Cointegration and Panel Unit Root Tests," Working Papers 495, Economic Research Southern Africa.
    4. N. Vasudeva Murthy, 2009. "The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(2), pages 176-188, April.
    5. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2006. "A Spatio-Temporal Model of House Prices in the US," IZA Discussion Papers 2338, Institute of Labor Economics (IZA).
    6. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    7. Peter Pedroni, 2004. "Social Capital, Barriers to Production, and Capital Shares: Implications for the Importance of Parameter Heterogeneity from a Nonstationary Panel Approach," Department of Economics Working Papers 2004-03, Department of Economics, Williams College.
    8. Konstantinos Vergos & Benjamin Wanger, 2019. "Evaluating interdependencies in African markets A VECM approach," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 65-85.

  7. Ozgen Sayginsoy & Tim Vogelsang, 2004. "Powerful Tests of Structural Change That are Robust to Strong Serial Correlation," Discussion Papers 04-08, University at Albany, SUNY, Department of Economics.

    Cited by:

    1. Dong Jin Lee, 2021. "Bootstrap tests for structural breaks when the regressors and the serially correlated error term are unstable," Bulletin of Economic Research, Wiley Blackwell, vol. 73(2), pages 212-229, April.
    2. David Harris & David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2007. "Testing for a unit root in the presence of a possible break in trend," Discussion Papers 07/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Sobreira, Nuno & Nunesz, Luis C. & Rodriguesz, Paulo M. M., 2012. "Neoclassical, semi-endogenous or endogenous growth theory? Evidence based on new structural change tests," Insper Working Papers wpe_291, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    4. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    5. Xu, Ke-Li, 2016. "Multivariate trend function testing with mixed stationary and integrated disturbances," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 38-57.
    6. Crafts, Nicholas & Mills, Terence C., 2009. "From Malthus to Solow: How did the Malthusian economy really evolve?," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 68-93, March.

  8. Bunzel, Helle & Vogelsang, Timothy J., 2003. "Powerful Trend Function Tests That Are Robust to Strong Serial Correlation with an Application to the Prebisch-Singer Hypothesis," Staff General Research Papers Archive 10353, Iowa State University, Department of Economics.

    Cited by:

    1. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "The impact of the initial condition on robust tests for a linear trend," Discussion Papers 09/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    2. Elliott, Graham, 2020. "Testing for a trend with persistent errors," University of California at San Diego, Economics Working Paper Series qt8qb0j5s7, Department of Economics, UC San Diego.
    3. Schäfer, Larissa, 2015. "Essays in banking and international finance," Other publications TiSEM 54db9c22-05fa-4444-97d5-1, Tilburg University, School of Economics and Management.
    4. David Harvey & Stephen Leybourne, 2014. "Confidence sets for the date of a break in level and trend when the order of integration is unknown," Discussion Papers 14/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    5. McCulloch, J. Huston, 2016. "Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 712-733.
    6. Wagner, Alexander F. & Schrimpf, Paul & Petzev, Ivan, 2015. "Has the Pricing of Stocks Become More Global?," CEPR Discussion Papers 10966, C.E.P.R. Discussion Papers.
    7. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2010. "Robust methods for detecting multiple level breaks in autocorrelated time series," Discussion Papers 10/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    8. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
    9. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    10. Ardia, David & Bluteau, Keven & Tran, Thien Duy, 2022. "How easy is it for investment managers to deploy their talent in green and brown stocks?," Finance Research Letters, Elsevier, vol. 48(C).
    11. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    12. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2007. "Unit root testing in practice: dealing with uncertainty over the trend and initial condition," Discussion Papers 07/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    13. Anton Skrobotov, 2015. "Trend and Initial Condition in Stationarity Tests: The Asymptotic Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(2), pages 254-273, April.
    14. Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2012. "Aggregate Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1155-1185, December.
    15. Skrobotov, Anton, 2022. "On robust testing for trend," Economics Letters, Elsevier, vol. 212(C).
    16. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed‐b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, January.
    17. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    18. Saad, Mohsen & Samet, Anis, 2015. "Pricing, dynamics, and determinants of illiquidity risks: International evidence," Emerging Markets Review, Elsevier, vol. 23(C), pages 124-147.
    19. Bastianin, Andrea & Galeotti, Marzio & Polo, Michele, 2019. "Convergence of European natural gas prices," Energy Economics, Elsevier, vol. 81(C), pages 793-811.
    20. Badi H. Baltagi & Chihwa Kao & Long Liu, 2014. "Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 347-394, Emerald Group Publishing Limited.
    21. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2012. "Testing for unit roots in the presence of uncertainty over both the trend and initial condition," Journal of Econometrics, Elsevier, vol. 169(2), pages 188-195.
    22. Vogelsang, Timothy & Nawaz, Nasreen, 2015. "Estimation and Inference of Linear Trend Slope Ratios with an Application to Global Temperature Data," MPRA Paper 117435, University Library of Munich, Germany.
    23. Xu, Ke-Li, 2012. "Robustifying multivariate trend tests to nonstationary volatility," Journal of Econometrics, Elsevier, vol. 169(2), pages 147-154.
    24. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    25. Jiawen Xu & Pierre Perron, 2013. "Robust testing of time trend and mean with unknown integration order errors Frequency (and Other) Contaminations," Boston University - Department of Economics - Working Papers Series 2013-006, Boston University - Department of Economics.
    26. Paulo M.M. Rodrigues & Antonio Rubia, 2011. "A Class of Robust Tests in Augmented Predictive Regressions," Working Papers w201126, Banco de Portugal, Economics and Research Department.
    27. Jianning Kong & Peter C.B. Phillips & Donggyu Sul, 2017. "Weak s- Convergence: Theory and Applications," Cowles Foundation Discussion Papers 2072, Cowles Foundation for Research in Economics, Yale University.
    28. André Varella Mollick & João Ricardo Faria & Pedro H. Albuquerque & Miguel A. León-Ledesma, 2008. "Can globalisation stop the decline in commodities' terms of trade?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(5), pages 683-701, September.
    29. David Harvey & Stephen Leybourne & A M Robert Taylor, 2005. "On Robust Trend Function Hypothesis Testing," Discussion Papers 05-07, Department of Economics, University of Birmingham.
    30. Astill, Sam & Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2014. "Robust tests for a linear trend with an application to equity indices," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 168-185.
    31. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
    32. Nartea, Gilbert V. & Wu, Ji, 2013. "Is there a volatility effect in the Hong Kong stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 119-135.
    33. Yamada, Hiroshi & Yoon, Gawon, 2014. "When Grilli and Yang meet Prebisch and Singer: Piecewise linear trends in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 193-207.
    34. Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2008. "International stock return comovements," Working Paper Series 931, European Central Bank.
    35. Byrne, Joseph P & Fazio, Giorgio & Fiess, Norbert, 2010. "Optimism and commitment: An elementary theory of bargaining and war," SIRE Discussion Papers 2010-102, Scottish Institute for Research in Economics (SIRE).
    36. Ozgen Sayginsoy & Tim Vogelsang, 2004. "Powerful Tests of Structural Change That are Robust to Strong Serial Correlation," Discussion Papers 04-08, University at Albany, SUNY, Department of Economics.
    37. Araujo, Ricardo, 2013. "Assessing the Dynamics of Terms of Trade in a Model of Cumulative Causation and Structural Change," MPRA Paper 46049, University Library of Munich, Germany.
    38. Byrne, Joseph P. & Fazio, Giorgio & Fiess, Norbert, 2013. "Primary commodity prices: Co-movements, common factors and fundamentals," Journal of Development Economics, Elsevier, vol. 101(C), pages 16-26.
    39. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    40. Kiseok Nam & Shahriar Khaksari & Moonsoo Kang, 2017. "Trend in aggregate idiosyncratic volatility," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 11-28, November.
    41. Marsh, Patrick, 2007. "The Available Information For Invariant Tests Of A Unit Root," Econometric Theory, Cambridge University Press, vol. 23(4), pages 686-710, August.
    42. Yeonwoo Rho & Xiaofeng Shao, 2015. "Inference for Time Series Regression Models With Weakly Dependent and Heteroscedastic Errors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 444-457, July.
    43. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    44. Tristan Jourde, 2022. "The Rising Interconnectedness of the Insurance Sector," Working papers 857, Banque de France.
    45. Hacker, Scott, 2010. "The Effectiveness of Information Criteria in Determining Unit Root and Trend Status," Working Paper Series in Economics and Institutions of Innovation 213, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    46. Nartea, Gilbert V. & Wu, Ji & Liu, Zhentao, 2013. "Does idiosyncratic volatility matter in emerging markets? Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 137-160.
    47. Ke-Li Xu & Jui-Chung Yang, 2015. "Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non-stationary Volatility," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 63-86, March.
    48. Busetti, Fabio & Harvey, Andrew, 2008. "Testing For Trend," Econometric Theory, Cambridge University Press, vol. 24(1), pages 72-87, February.
    49. R. Scott Hacker & Abdulnasser Hatemi-J, 2018. "Model Selection in Time Series Analysis: Using Information Criteria as an Alternative to Hypothesis Testing," Papers 1805.08991, arXiv.org.
    50. Le Pen, Yannick & Sévi, Benoît, 2010. "What trends in energy efficiencies? Evidence from a robust test," Energy Economics, Elsevier, vol. 32(3), pages 702-708, May.
    51. Tristan Jourde, 2022. "The rising interconnectedness of the insurance sector," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 397-425, June.
    52. Xu, Ke-Li, 2016. "Multivariate trend function testing with mixed stationary and integrated disturbances," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 38-57.
    53. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "Robust methods for detecting multiple level breaks in autocorrelated time series [Revised to become No. 10/01 above]," Discussion Papers 09/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    54. Yoshimasa Uematsu, 2011. "Regression with a Slowly Varying Regressor in the Presence of a Unit Root," Global COE Hi-Stat Discussion Paper Series gd11-209, Institute of Economic Research, Hitotsubashi University.
    55. 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.
    56. 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.
    57. David I. Harvey, & Stephen J. Leybourne, & A. M. Robert Taylor, 2007. "Testing for a unit root when uncertain about the trend [Revised to become 07/03 above]," Discussion Papers 06/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    58. Wang, Zijun, 2010. "Dynamics and causality in industry-specific volatility," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1688-1699, July.
    59. Romero-Ávila, Diego, 2009. "Are OECD consumption-income ratios stationary after all?," Economic Modelling, Elsevier, vol. 26(1), pages 107-117, January.

  9. Vogelsang, Timothy J. & Franses, Philip Hans, 2001. "Testing for Common Deterministic Trend Slopes," Working Papers 01-15, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    2. Noriega, Antonio E. & Soria, Luis M. & Velázquez, Ramón, 2008. "International evidence on stochastic and deterministic monetary neutrality," Economic Modelling, Elsevier, vol. 25(6), pages 1261-1275, November.
    3. Vogelsang, Timothy & Nawaz, Nasreen, 2015. "Estimation and Inference of Linear Trend Slope Ratios with an Application to Global Temperature Data," MPRA Paper 117435, University Library of Munich, Germany.
    4. Xu, Ke-Li, 2012. "Robustifying multivariate trend tests to nonstationary volatility," Journal of Econometrics, Elsevier, vol. 169(2), pages 147-154.
    5. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    6. Sun, Yixiao, 2011. "Robust trend inference with series variance estimator and testing-optimal smoothing parameter," Journal of Econometrics, Elsevier, vol. 164(2), pages 345-366, October.
    7. Yonghui Zhang & Liangjun Su & Peter C. B. Phillips, 2012. "Testing for common trends in semi‐parametric panel data models with fixed effects," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 56-100, February.
    8. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    9. Joseph P. Byrne & Roger Perman, 2006. "Unit Roots and Structural Breaks: A Survey of the Literature," Working Papers 2006_10, Business School - Economics, University of Glasgow.
    10. Ke-Li Xu & Jui-Chung Yang, 2015. "Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non-stationary Volatility," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 63-86, March.
    11. R. Velazquez & A.E. Noriega & L.M. Soria, 2004. "International Evidence on Monetary Neutrality Under Broken Trend Stationary Models," Econometric Society 2004 Latin American Meetings 57, Econometric Society.
    12. Xu, Ke-Li, 2016. "Multivariate trend function testing with mixed stationary and integrated disturbances," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 38-57.
    13. Lyubchich, Vyacheslav & Gel, Yulia R., 2016. "A local factor nonparametric test for trend synchronism in multiple time series," Journal of Multivariate Analysis, Elsevier, vol. 150(C), pages 91-104.
    14. Eun, Cheol S. & Lee, Jinsoo, 2010. "Mean-variance convergence around the world," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 856-870, April.
    15. Erhua Zhang & Xiaojun Song & Jilin Wu, 2022. "A non‐parametric test for multi‐variate trend functions," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(6), pages 856-871, November.

  10. Vogelsang, Timothy J., 2001. "Testing in GMM Models without Truncation," Working Papers 01-12, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Shin-Kun Peng & Takatoshi Tabuchi, 2005. "Spatial Competition in Variety and Number of Stores," CIRJE F-Series CIRJE-F-360, CIRJE, Faculty of Economics, University of Tokyo.
    2. Wei-Ming Lee & Chung-Ming Kuan, 2006. "Testing Over-Identifying Restrictions without Consistent Estimation of the Asymptotic Covariance Matrix," IEAS Working Paper : academic research 06-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    3. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.

  11. Bunzel, Helle & Kiefer, Nicholas M. & Vogelsang, Timothy, 2001. "Simple Robust Testing of Hypothesis in Non-Linear Models," Staff General Research Papers Archive 5214, Iowa State University, Department of Economics.

    Cited by:

    1. Heejoon Han & Oliver Linton & Tatsushi Oka & Yoon-Jae Whang, 2014. "The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series," Cambridge Working Papers in Economics 1452, Faculty of Economics, University of Cambridge.
    2. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    3. Nordman, Daniel J. & Bunzel, Helle & Lahiri, Soumendra N., 2013. "A Nonstandard Empirical Likelihood for Time Series," Staff General Research Papers Archive 37203, Iowa State University, Department of Economics.
    4. Shin-Kun Peng & Takatoshi Tabuchi, 2005. "Spatial Competition in Variety and Number of Stores," CIRJE F-Series CIRJE-F-360, CIRJE, Faculty of Economics, University of Tokyo.
    5. Wei-Ming Lee & Chung-Ming Kuan, 2006. "Testing Over-Identifying Restrictions without Consistent Estimation of the Asymptotic Covariance Matrix," IEAS Working Paper : academic research 06-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    6. Yi-Ting Chen & Zhongjun Qu, 2015. "M Tests with a New Normalization Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 617-652, May.
    7. Xiaofeng Shao, 2010. "A self‐normalized approach to confidence interval construction in time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 343-366, June.

  12. Crainiceanu, Ciprian & Vogelsang, Timothy, 2001. "Spectral Density Bandwidth Choice: Source of Nonmonotonic Power for Tests of a Mean Shift in a Time Series," Working Papers 01-14, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Deng, Ai & Perron, Pierre, 2008. "A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change," Journal of Econometrics, Elsevier, vol. 142(1), pages 212-240, January.
    2. Dukpa Kim & Pierre Perron, 2006. "Assessing the Relative Power of Structural Break Tests Using a Framework Based on the Approximate Bahadur Slope," Boston University - Department of Economics - Working Papers Series WP2006-063, Boston University - Department of Economics.
    3. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    4. Altissimo, Filippo & Corradi, Valentina, 2003. "Strong rules for detecting the number of breaks in a time series," Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
    5. Elliott, Graham & Muller, Ulrich K., 2004. "Confidence Sets for the Date of a Single Break in Linear Time Series Regressions," University of California at San Diego, Economics Working Paper Series qt9hf4j4c2, Department of Economics, UC San Diego.

  13. Fomby, Tom & Vogelsang, Tim, 2000. "The Application of Size Robust Trend Analysis to Global Warming Temperature Series," Working Papers 00-08, Cornell University, Center for Analytic Economics.

    Cited by:

    1. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    2. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    3. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    4. Martin Schmidt & David Berri, 2004. "Convergence and clustering in major league baseball: the haves and have nots?," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2007-2014.
    5. Hui Liu & Gabriel Rodriguez, 2003. "Human Activities and Global Warming: A Cointegration Analysis," Working Papers 0307E, University of Ottawa, Department of Economics.
    6. Luis A. Gil-Alana, 2009. "Warming break trends and fractional integration in the northern, southern and global temperature anomaly series," Faculty Working Papers 09/09, School of Economics and Business Administration, University of Navarra.
    7. Enrique Alvarez & Dipak Dey, 2009. "Bayesian isotonic changepoint analysis," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(2), pages 355-370, June.

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

    Cited by:

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

  15. Kiefer, Nicholas M. & Bunzel, Helle & Vogelsang, Timothy & Vogelsang, Timothy & Bunzel, Helle, 2000. "Simple Robust Testing of Regression Hypotheses," Staff General Research Papers Archive 1832, Iowa State University, Department of Economics.

    Cited by:

    1. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Giacomini, Raffaella & Komunjer, Ivana, 2002. "Evaluation and Combination of Conditional Quantile Forecasts," University of California at San Diego, Economics Working Paper Series qt4n99t4wz, Department of Economics, UC San Diego.
    4. Hsieh Hsih-chia & Hsieh Pei-gin, 2004. "A Generalized Theory of Monetary and Macroeconomics," Money Macro and Finance (MMF) Research Group Conference 2004 50, Money Macro and Finance Research Group.
    5. McCulloch, J. Huston, 2016. "Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 712-733.
    6. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    7. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    8. Chung-Ming Kuan & Yu-Wei Hsieh, 2006. "Improved HAC Covariance Matrix Estimation Based on Forecast Errors," IEAS Working Paper : academic research 06-A008, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    9. Pötscher, Benedikt M. & Preinerstorfer, David, 2016. "Controlling the Size of Autocorrelation Robust Tests," MPRA Paper 75657, University Library of Munich, Germany.
    10. Heejoon Han & Oliver Linton & Tatsushi Oka & Yoon-Jae Whang, 2014. "The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series," Cambridge Working Papers in Economics 1452, Faculty of Economics, University of Cambridge.
    11. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    12. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    13. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    14. Peter Pedroni & Tim Vogelsang, 2005. "Robust Unit Root and Cointegration Rank Tests for Panels and Large Systems," Department of Economics Working Papers 2005-04, Department of Economics, Williams College.
    15. M. Mogliani & T. Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    16. McElroy, Tucker S & Politis, D N, 2011. "Distribution Theory for the Studentized Mean for Long, Short, and Negative Memory Time Series," University of California at San Diego, Economics Working Paper Series qt0dr145dt, Department of Economics, UC San Diego.
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    10. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
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  17. Vogelsang, T.J., 1994. "On Testing for a Unit Root in the Presence of Additive Outliers," Papers 94-30, Cornell - Department of Economics.

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    1. Wing Yuk, 2005. "Government Size and Economic Growth: Time-Series Evidence for the United Kingdom, 1830-1993," Econometrics Working Papers 0501, Department of Economics, University of Victoria.
    2. Ng, S. & Perron, P., 1995. "Estimation and Inference in Nearly Unbalanced, Nearly Cointegrated Systems," Cahiers de recherche 9534, Universite de Montreal, Departement de sciences economiques.
    3. Vitali Alexeev & Alex Maynard, 2010. "Localized Level Crossing Random Walk Test Robust to the Presence of Structural Breaks," Working Papers 1001, University of Guelph, Department of Economics and Finance.
    4. Jean-François Goux, 2010. "Une approche déterministe du taux de change euro-dollar," Économie et Prévision, Programme National Persée, vol. 195(4), pages 35-51.

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    1. Antonio Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2018. "Assessing the sustainability of external imbalances in the European Union," Post-Print hal-01914597, HAL.
    2. Abi Morshed, Alaa & Andreou, E. & Boldea, Otilia, 2016. "Structural Break Tests Robust to Regression Misspecification," Discussion Paper 2016-019, Tilburg University, Center for Economic Research.
    3. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    4. Ramesh Chandra Das, 2021. "Does Minimum Support Price Have Long-Run Associations and Short-Run Interplays with Yield Rates and Quantities of Outputs? A Study on Food and Non-food Grains in India," Review of Market Integration, India Development Foundation, vol. 13(1), pages 42-65, April.
    5. Kevin S. Nell & Maria M. De Mello, 2019. "The interdependence between the saving rate and technology across regimes: evidence from South Africa," Empirical Economics, Springer, vol. 56(1), pages 269-300, January.
    6. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    7. Fantazzini, Dean & Kolodin, Nikita, 2020. "Does the hashrate affect the bitcoin price?," MPRA Paper 103812, University Library of Munich, Germany.
    8. Tae‐Hwan Kim & Stephen Leybourne & Paul Newbold, 2004. "Behaviour of Dickey–Fuller Unit‐Root Tests Under Trend Misspecification," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 755-764, September.
    9. George, Halkos & Ilias, Kevork, 2005. "Το Υπόδειγμα Τυχαίου Περιπάτου Με Αυτοπαλίνδρομα Σφάλματα [The random walk model with autoregressive errors]," MPRA Paper 33312, University Library of Munich, Germany.
    10. Cheung, Yin-Wong & Lai, Kon S., 2001. "Long memory and nonlinear mean reversion in Japanese yen-based real exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 115-132, February.
    11. Esteve García, Vicente & Navarro Ibáñez, Manuel & Prats Albentosa, María Asuncíon, 2017. "The present value model of U.S. stock prices revisited: Long-run evidence with structural breaks, 1871-2012," Economics Discussion Papers 2017-93, Kiel Institute for the World Economy (IfW Kiel).
    12. Mohammad Abdul Munim Joarder & Monir Uddin Ahmed, 2023. "Does natural resource abundance breed corruption? The role of political institutions," SN Business & Economics, Springer, vol. 3(9), pages 1-43, September.
    13. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    441. Ibrahim Ahamada & Djamel Kirat, 2015. "The impact of phase II of the EU ETS on wholesale electricity prices," Post-Print insu-01558352, HAL.
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Articles

  1. Rho, Seung-Hwa & Vogelsang, Timothy J., 2019. "Heteroskedasticity Autocorrelation Robust Inference In Time Series Regressions With Missing Data," Econometric Theory, Cambridge University Press, vol. 35(3), pages 601-629, June.

    Cited by:

    1. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
    2. Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
    3. Kaicheng Chen & Timothy J. Vogelsang, 2023. "Fixed-b Asymptotics for Panel Models with Two-Way Clustering," Papers 2309.08707, arXiv.org, revised Oct 2023.

  2. Yang, Jingjing & Vogelsang, Timothy J., 2018. "Finite sample performance of a long run variance estimator based on exactly (almost) unbiased autocovariance estimators," Economics Letters, Elsevier, vol. 165(C), pages 21-27.

    Cited by:

    1. Yifan Li & Yao Rao, 2021. "A simple nearly unbiased estimator of cross‐covariances," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 240-266, March.
    2. Li, Yifan, 2020. "Nearly unbiased estimation of sample skewness," Economics Letters, Elsevier, vol. 192(C).

  3. Pierre Perron & Eduardo Zorita & Timothy J. Vogelsang & Nasreen Nawaz, 2017. "Estimation and Inference of Linear Trend Slope Ratios With an Application to Global Temperature Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 640-667, September.

    Cited by:

    1. Skrobotov, Anton, 2022. "On robust testing for trend," Economics Letters, Elsevier, vol. 212(C).

  4. Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B. & Vogelsang, Timothy J., 2016. "FIXED-b ASYMPTOTICS FOR SPATIALLY DEPENDENT ROBUST NONPARAMETRIC COVARIANCE MATRIX ESTIMATORS," Econometric Theory, Cambridge University Press, vol. 32(1), pages 154-186, February.

    Cited by:

    1. Timothy G. Conley & Sílvia Gonçalves & Min Seong Kim & Benoit Perron, 2023. "Bootstrap inference under cross‐sectional dependence," Quantitative Economics, Econometric Society, vol. 14(2), pages 511-569, May.
    2. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
    3. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    4. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    5. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    6. Gupta, A, 2015. "Autoregressive Spatial Spectral Estimates," Economics Discussion Papers 23825, University of Essex, Department of Economics.
    7. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    8. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
    9. Abhimanyu Gupta & Javier Hidalgo, 2022. "Nonparametric prediction with spatial data," STICERD - Econometrics Paper Series 621, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    10. Xiaoqing Ye & Yixiao Sun, 2018. "Heteroskedasticity- and autocorrelation-robust F and t tests in Stata," Stata Journal, StataCorp LP, vol. 18(4), pages 951-980, December.
    11. Kaicheng Chen & Timothy J. Vogelsang, 2023. "Fixed-b Asymptotics for Panel Models with Two-Way Clustering," Papers 2309.08707, arXiv.org, revised Oct 2023.
    12. Bartalotti, Otávio, 2018. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," ISU General Staff Papers 201802010800001586, Iowa State University, Department of Economics.
    13. Ulrich K. Muller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Papers 2102.09353, arXiv.org.
    14. Min Seong Kim, 2021. "Robust Inference for Diffusion-Index Forecasts with Cross-Sectionally Dependent Data," Working papers 2021-04, University of Connecticut, Department of Economics.
    15. Carolina Caetano & Gregorio Caetano & Hao Fe & Eric R. Nielsen, 2021. "A Dummy Test of Identification in Models with Bunching," Finance and Economics Discussion Series 2021-068, Board of Governors of the Federal Reserve System (U.S.).
    16. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.

  5. Timothy J. Vogelsang & Jingjing Yang, 2016. "Exactly/Nearly Unbiased Estimation of Autocovariances of a Univariate Time Series With Unknown Mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(6), pages 723-740, November.

    Cited by:

    1. Yifan Li & Yao Rao, 2021. "A simple nearly unbiased estimator of cross‐covariances," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 240-266, March.
    2. Yang, Jingjing & Vogelsang, Timothy J., 2018. "Finite sample performance of a long run variance estimator based on exactly (almost) unbiased autocovariance estimators," Economics Letters, Elsevier, vol. 165(C), pages 21-27.
    3. Li, Yifan, 2020. "Nearly unbiased estimation of sample skewness," Economics Letters, Elsevier, vol. 192(C).

  6. Pedroni, Peter L. & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2015. "Nonparametric rank tests for non-stationary panels," Journal of Econometrics, Elsevier, vol. 185(2), pages 378-391.
    See citations under working paper version above.
  7. Vogelsang, Timothy J. & Wagner, Martin, 2014. "Integrated modified OLS estimation and fixed-b inference for cointegrating regressions," Journal of Econometrics, Elsevier, vol. 178(2), pages 741-760.
    See citations under working paper version above.
  8. Ross R. McKitrick & Timothy J. Vogelsang, 2014. "HAC robust trend comparisons among climate series with possible level shifts," Environmetrics, John Wiley & Sons, Ltd., vol. 25(7), pages 528-547, November.

    Cited by:

    1. Abi Morshed, Alaa & Andreou, E. & Boldea, Otilia, 2016. "Structural Break Tests Robust to Regression Misspecification," Discussion Paper 2016-019, Tilburg University, Center for Economic Research.
    2. Claudio Morana & Giacomo Sbrana, 2017. "Temperature Anomalies, Radiative Forcing and ENSO," Working Papers 2017.09, Fondazione Eni Enrico Mattei.
    3. Claudio Morana & Giacomo Sbrana, 2018. "Some financial implications of global warming: An empirical assessment," Working Paper series 18-09, Rimini Centre for Economic Analysis.
    4. G. Cornelis van Kooten & Mark E. Eiswerth & Jonathon Izett & Alyssa R. Russell, 2021. "Climate Change and the Social Cost of Carbon: DICE Explained and Expanded," Working Papers 2021-01, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    5. Marina Friedrich & Eric Beutner & Hanno Reuvers & Stephan Smeekes & Jean-Pierre Urbain & Whitney Bader & Bruno Franco & Bernard Lejeune & Emmanuel Mahieu, 2020. "A statistical analysis of time trends in atmospheric ethane," Climatic Change, Springer, vol. 162(1), pages 105-125, September.
    6. Morana, Claudio & Sbrana, Giacomo, 2019. "Climate change implications for the catastrophe bonds market: An empirical analysis," Economic Modelling, Elsevier, vol. 81(C), pages 274-294.
    7. Vogelsang, Timothy & Nawaz, Nasreen, 2015. "Estimation and Inference of Linear Trend Slope Ratios with an Application to Global Temperature Data," MPRA Paper 117435, University Library of Munich, Germany.
    8. Friedrich, Marina & Smeekes, Stephan & Urbain, Jean-Pierre, 2020. "Autoregressive wild bootstrap inference for nonparametric trends," Journal of Econometrics, Elsevier, vol. 214(1), pages 81-109.
    9. G. Cornelis van Kooten, 2020. "Climate Change and Agriculture," Working Papers 2020-01, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    10. Yoosoon Chang & Robert K. Kaufmann & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2016. "Evaluating trends in time series of distributions: A spatial fingerprint of human effects on climate," Working Papers 1622, Department of Economics, University of Missouri, revised 17 Sep 2018.

  9. Vogelsang, Timothy J. & Wagner, Martin, 2013. "A FIXED-b PERSPECTIVE ON THE PHILLIPS–PERRON UNIT ROOT TESTS," Econometric Theory, Cambridge University Press, vol. 29(3), pages 609-628, June.
    See citations under working paper version above.
  10. Vogelsang, Timothy J., 2012. "Heteroskedasticity, autocorrelation, and spatial correlation robust inference in linear panel models with fixed-effects," Journal of Econometrics, Elsevier, vol. 166(2), pages 303-319.

    Cited by:

    1. Elif Guneren Genc & Ozlem Deniz Basar, 2017. "The Impact of OECD Countries¡¯ Macroeconomic Factors on Turkey¡¯s Foreign Trade," Research in World Economy, Research in World Economy, Sciedu Press, vol. 8(1), pages 24-36, June.
    2. Hidalgo, Javier & Schafgans, Marcia, 2017. "Inference and testing breaks in large dynamic panels with strong cross sectional dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 259-274.
    3. Hevia, Constantino & Servén, Luis, 2018. "Assessing the degree of international consumption risk sharing," Journal of Development Economics, Elsevier, vol. 134(C), pages 176-190.
    4. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
    5. Hoechle, Daniel & Schmid, Markus & Zimmermann, Heinz, 2012. "Decomposing Performance," Working Papers on Finance 1216, University of St. Gallen, School of Finance, revised Nov 2015.
    6. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    7. Mohammed S. Y. Omran & Mohammad A. A. Zaid & Aladdin Dwekat, 2021. "The relationship between integrated reporting and corporate environmental performance: A green trial," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 427-445, January.
    8. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    9. Cipriani, Marco & La Spada, Gabriele, 2020. "Investors' Appetite for Money-Like Assets: The MMF Industry after the 2014 Regulatory Reform," CEPR Discussion Papers 14375, C.E.P.R. Discussion Papers.
    10. Sun, Yu & Yan, Karen X., 2019. "Inference on Difference-in-Differences average treatment effects: A fixed-b approach," Journal of Econometrics, Elsevier, vol. 211(2), pages 560-588.
    11. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    12. Chu, Chia-Shang J. & Liu, Nan & Zhang, Lina, 2017. "Significance test in nonstationary logit panel model with serially correlated dependent variable," Economics Letters, Elsevier, vol. 159(C), pages 37-41.
    13. Nawaz, Nasreen, 2017. "Robust Inference by Sub-sampling," MPRA Paper 116721, University Library of Munich, Germany, revised 08 Jun 2019.
    14. Abu-Ghunmi, Diana & Corbet, Shaen & Larkin, Charles, 2020. "An international analysis of the economic cost for countries located in crisis zones," Research in International Business and Finance, Elsevier, vol. 51(C).
    15. Qiu, Jin & Ma, Qing & Wu, Lang, 2019. "A moving blocks empirical likelihood method for panel linear fixed effects models with serial correlations and cross-sectional dependences," Economic Modelling, Elsevier, vol. 83(C), pages 394-405.
    16. Gupta, A, 2015. "Autoregressive Spatial Spectral Estimates," Economics Discussion Papers 23825, University of Essex, Department of Economics.
    17. Rosen Valchev, 2015. "Exchange Rates and UIP Violations at Short and Long Horizons," 2015 Meeting Papers 1446, Society for Economic Dynamics.
    18. Kevin Sheppard & Lily Liu & Andrew J. Patton, 2013. "Does Anything Beat 5-Minute RV? A Comparison of Realized Measures Across Multiple Asset Classes," Economics Series Working Papers 645, University of Oxford, Department of Economics.
    19. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
    20. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    21. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Standard Errors for Panel Data Models with Unknown Clusters," Papers 1910.07406, arXiv.org, revised May 2020.
    22. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    23. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
    24. Hevia, Constantino & Serven, Luis, 2013. "Partial consumption insurance and financial openness across the world," Policy Research Working Paper Series 6479, The World Bank.
    25. Fredrick Oteng Agyeman & Ma Zhiqiang & Mingxing Li & Agyemang Kwasi Sampene & Malcom Frimpong Dapaah & Emmanuel Adu Gyamfi Kedjanyi & Paul Buabeng & Yiyao Li & Saifullah Hakro & Mohammad Heydari, 2022. "Probing the Effect of Governance of Tourism Development, Economic Growth, and Foreign Direct Investment on Carbon Dioxide Emissions in Africa: The African Experience," Energies, MDPI, vol. 15(13), pages 1-24, June.
    26. Stanislav Klazar & Barbora Slintáková, 2019. "Vliv zdanění příjmů na zadlužení nefinančních podniků [Influence of Income Taxation on Indebtedness of Non-financial Firms]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(3), pages 253-272.
    27. Basak Gopal K. & Das Samarjit, 2017. "Intercept Homogeneity Test for Fixed Effect Models under Cross-sectional Dependence: Some Insights," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    28. Dominika Ehrenbergerova & Martin Hodula & Zuzana Rakovska, 2020. "Does Capital-Based Regulation Affect Bank Pricing Policy?," Working Papers 2020/5, Czech National Bank.
    29. Hanno Lustig & Andreas Stathopoulos & Adrien Verdelhan, 2019. "The Term Structure of Currency Carry Trade Risk Premia," American Economic Review, American Economic Association, vol. 109(12), pages 4142-4177, December.
    30. Danish & Recep Ulucak, 2020. "The pathway toward pollution mitigation: Does institutional quality make a difference?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3571-3583, December.
    31. Jinkai Li & Jueying Chen & Heguang Liu, 2021. "Sustainable Agricultural Total Factor Productivity and Its Spatial Relationship with Urbanization in China," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    32. Seifelyazal Mostafa & Salah Eldin Ashraf & ElSherif Marwa, 2023. "The Impact of Financial Inclusion on Economic Development," International Journal of Economics and Financial Issues, Econjournals, vol. 13(2), pages 93-101, March.
    33. Hagen, Tobias & Waldeck, Stefanie, 2014. "Using panel econometric methods to estimate the effect of milk consumption on the mortality rate of prostate and ovarian cancer," Working Paper Series 03, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    34. Gnangnon, Sèna Kimm, 2023. "Effect of the duration of membership in the GATT/WTO on economic growth volatility," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 448-467.
    35. van Besouw, Bram & Curtis, Daniel R., 2022. "Estimating warfare-related civilian mortality in the early modern period: Evidence from the Low Countries, 1620–99," Explorations in Economic History, Elsevier, vol. 84(C).
    36. Jun Wen & Lingxiao Li & Xinxin Zhao & Chenyang Jiao & Wenjie Li, 2022. "How Government Size Expansion Can Affect Green Innovation—An Empirical Analysis of Data on Cross-Country Green Patent Filings," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    37. Hartwell, Christopher A., 2018. "The impact of institutional volatility on financial volatility in transition economies," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 598-615.
    38. Agnesens, Julius, 2013. "A statistically robust decomposition of mutual fund performance," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3867-3877.
    39. Kaicheng Chen & Timothy J. Vogelsang, 2023. "Fixed-b Asymptotics for Panel Models with Two-Way Clustering," Papers 2309.08707, arXiv.org, revised Oct 2023.
    40. Lee Jin Young & Solon Gary, 2011. "The Fragility of Estimated Effects of Unilateral Divorce Laws on Divorce Rates," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-11, August.
    41. Juan Jose Miranda & Oscar A. Ishizawa & Hongrui Zhang, 2020. "Understanding the Impact Dynamics of Windstorms on Short-Term Economic Activity from Night Lights in Central America," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 657-698, October.
    42. Shah, Syed Ale Raza & Zhang, Qianxiao & Abbas, Jaffar & Tang, Hui & Al-Sulaiti, Khalid Ibrahim, 2023. "Waste management, quality of life and natural resources utilization matter for renewable electricity generation: The main and moderate role of environmental policy," Utilities Policy, Elsevier, vol. 82(C).
    43. Enrico Moretti & Daniel Wilson, 2015. "The Effect of State Taxes on the Geographical Location of Top Earners: Evidence from Star Scientists," NBER Working Papers 21120, National Bureau of Economic Research, Inc.
    44. Moutsianas, Konstantinos A. & Kosmidou, Kyriaki, 2016. "Bank earnings volatility in the UK: Does size matter? A comparison between commercial and investment banks," Research in International Business and Finance, Elsevier, vol. 38(C), pages 137-150.
    45. Jamiil Jeetoo, 2020. "Healthcare Expenditure and Baumol Cost Disease in Sub-Sahara Africa," Economics Bulletin, AccessEcon, vol. 40(4), pages 2704-2716.
    46. Ekonomou, George & Halkos, George, 2023. "Is tourism growth a power of environmental‘de -degradation’? An empirical analysis for Eurozone economic space," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1016-1029.
    47. Sèna Kimm Gnangnon, 2023. "Effect of the duration of membership in the GATT/WTO on human development in developed and developing countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(4), pages 943-983, November.
    48. Stigler, Matthieu M., 2018. "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.
    49. Mari Sako & George Chondrakis & Paul M. Vaaler, 2016. "How Do Plural-Sourcing Firms Make and Buy? The Impact of Supplier Portfolio Design," Organization Science, INFORMS, vol. 27(5), pages 1161-1182, October.
    50. Cao, Qingqing & Minetti, Raoul & Olivero, María Pía & Romanini, Giacomo, 2021. "Recessions and recoveries: Multinational banks in the business cycle," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 203-219.
    51. Jesse Schreger & Wenxin Du, 2014. "Sovereign Risk, Currency Risk, and Corporate Balance Sheets," Working Paper 209056, Harvard University OpenScholar.
    52. Riemer P. Faber & Maarten C. W. Janssen, 2019. "On the Effects of Suggested Prices in Gasoline Markets," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 676-705, April.
    53. Marques, António Cardoso & Junqueira, Thibaut Manuel, 2022. "European energy transition: Decomposing the performance of nuclear power," Energy, Elsevier, vol. 245(C).
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    55. Rottmann, Horst, 2014. "Do unemployment benefits and employment protection influence suicide mortality? An international panel data analysis," Weidener Diskussionspapiere 42, University of Applied Sciences Amberg-Weiden (OTH).
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    60. Carmen Pilar Martí Ballester, 2014. "Determinants of equity pension plan flows," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 125-148, June.
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    71. Janus, Thorsten, 2023. "Short and long run democracy diffusion," European Journal of Political Economy, Elsevier, vol. 78(C).
    72. Javier Hidalgo & Marcia M Schafgans, 2017. "Inference Without Smoothing for Large Panels with Cross- Sectional and Temporal Dependence," STICERD - Econometrics Paper Series 597, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    73. Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Feasible Generalized Least Squares for Panel Data with Cross-sectional and Serial Correlations," Papers 1910.09004, arXiv.org, revised Aug 2020.
    74. Inhwan Ko & Aseem Prakash, 2022. "Signaling climate resilience to municipal bond markets: does membership in adaptation-focused voluntary clubs affect bond rating?," Climatic Change, Springer, vol. 171(1), pages 1-19, March.
    75. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.
    76. Asai, Manabu, 2023. "Feasible Panel GARCH Models: Variance-Targeting Estimation and Empirical Application," Econometrics and Statistics, Elsevier, vol. 25(C), pages 23-38.
    77. Zhenhao Gong & Min Seong Kim, 2024. "Improved Inference for Interactive Fixed Effects Model under Cross-Sectional Dependence," Working papers 2024-02, University of Connecticut, Department of Economics.
    78. Giselle Montamat & James H. Stock, 2020. "Quasi-experimental estimates of the transient climate response using observational data," Climatic Change, Springer, vol. 160(3), pages 361-371, June.
    79. Eierle, Brigitte & Klamer, Sebastian & Muck, Matthias, 2022. "Does it really pay off for investors to consider information from social media?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    80. Fan, John Hua & Omura, Akihiro & Roca, Eduardo, 2023. "Geopolitics and rare earth metals," European Journal of Political Economy, Elsevier, vol. 78(C).

  11. Jingjing Yang & Timothy J. Vogelsang, 2011. "Fixed‐b analysis of LM‐type tests for a shift in mean," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 438-456, October.

    Cited by:

    1. Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
    2. Grote, Claudia & Bertram, Philip, 2015. "A comparative Study of Volatility Breaks," Hannover Economic Papers (HEP) dp-558, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    3. JIANG, Peiyun & 蒋, 佩芸 & KUROZUMI, Eiji & 黒住, 英司, 2017. "Power Properties of the Modified CUSUM Tests," Discussion Papers 2017-05, Graduate School of Economics, Hitotsubashi University.
    4. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    5. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    6. Hanck, Christoph & Demetrescu, Matei & Kruse, Robinson, 2015. "Fixed-b Asymptotics for t-Statistics in the Presence of Time-Varying Volatility," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112916, Verein für Socialpolitik / German Economic Association.
    7. Demetrescu, Matei & Kruse, Robinson, 2015. "Testing heteroskedastic time series for normality," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113221, Verein für Socialpolitik / German Economic Association.
    8. 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.
    9. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    10. YAMAZAKI, Daisuke & 山崎, 大輔 & KUROZUMI, Eiji & 黒住, 英司, 2014. "Improving the Finite Sample Performance of Tests for a Shift in Mean," Discussion Papers 2014-16, Graduate School of Economics, Hitotsubashi University.
    11. Seong Yeon Chang & Pierre Perron, 2014. "Inference on a Structural Break in Trend with Fractionally Integrated Errors," Boston University - Department of Economics - Working Papers Series wp2015-011, Boston University - Department of Economics, revised 20 Sep 2015.

  12. Gonçalves, Sílvia & Vogelsang, Timothy J., 2011. "Block Bootstrap Hac Robust Tests: The Sophistication Of The Naive Bootstrap," Econometric Theory, Cambridge University Press, vol. 27(4), pages 745-791, August.

    Cited by:

    1. Robin Greenwood & Samuel G. Hanson, 2013. "Issuer Quality and Corporate Bond Returns," The Review of Financial Studies, Society for Financial Studies, vol. 26(6), pages 1483-1525.
    2. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
    3. Coroneo, Laura & Iacone, Fabrizio & Paccagnini, Alessia & Santos Monteiro, Paulo, 2023. "Testing the predictive accuracy of COVID-19 forecasts," International Journal of Forecasting, Elsevier, vol. 39(2), pages 606-622.
    4. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    5. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    6. Surajit Ray & N. E. Savin, 2008. "The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three-factor Fama-French asset-pricing model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 91-109.
    7. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    8. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    9. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    10. Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
    11. Rho, Seunghwa & Vogelsang, Timothy J., 2021. "Inference in time series models using smoothed-clustered standard errors," Journal of Econometrics, Elsevier, vol. 224(1), pages 113-133.
    12. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
    13. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    14. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    15. Stephan Smeekes & Joakim Westerlund, 2019. "Robust block bootstrap panel predictability tests," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1089-1107, October.
    16. Robert Adamek & Stephan Smeekes & Ines Wilms, 2020. "Lasso Inference for High-Dimensional Time Series," Papers 2007.10952, arXiv.org, revised Sep 2022.
    17. Karavias, Yiannis & Symeonides, Spyridon D. & Tzavalis, Elias, 2018. "Higher order expansions for error variance matrix estimates in the Gaussian AR(1) linear regression model," Statistics & Probability Letters, Elsevier, vol. 135(C), pages 54-59.
    18. Xiaoqing Ye & Yixiao Sun, 2018. "Heteroskedasticity- and autocorrelation-robust F and t tests in Stata," Stata Journal, StataCorp LP, vol. 18(4), pages 951-980, December.
    19. Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2023. "Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings," Econometric Reviews, Taylor & Francis Journals, vol. 42(3), pages 281-306, February.
    20. Ulrich K. Müller & Mark W. Watson, 2015. "Low-Frequency Econometrics," NBER Working Papers 21564, National Bureau of Economic Research, Inc.
    21. Zhang, Xianyang, 2016. "Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework," Journal of Econometrics, Elsevier, vol. 193(1), pages 123-146.
    22. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    23. Kim, Min Seong & Sun, Yixiao, 2011. "Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix," Journal of Econometrics, Elsevier, vol. 160(2), pages 349-371, February.
    24. Xianyang Zhang & Xiaofeng Shao, 2016. "On the coverage bound problem of empirical likelihood methods for time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(2), pages 395-421, March.

  13. Sayginsoy, Özgen & Vogelsang, Timothy J., 2011. "Testing For A Shift In Trend At An Unknown Date: A Fixed-B Analysis Of Heteroskedasticity Autocorrelation Robust Ols-Based Tests," Econometric Theory, Cambridge University Press, vol. 27(5), pages 992-1025, October.

    Cited by:

    1. Abi Morshed, Alaa & Andreou, E. & Boldea, Otilia, 2016. "Structural Break Tests Robust to Regression Misspecification," Discussion Paper 2016-019, Tilburg University, Center for Economic Research.
    2. David Harvey & Stephen Leybourne, 2014. "Confidence sets for the date of a break in level and trend when the order of integration is unknown," Discussion Papers 14/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2010. "Robust methods for detecting multiple level breaks in autocorrelated time series," Discussion Papers 10/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    4. Josep Lluís Carrion‐i‐Silvestre & María Dolores Gadea, 2023. "Testing for multiple level shifts with an integrated or stationary noise component," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 801-819, September.
    5. 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.
    6. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    7. YAMAZAKI, Daisuke & 山崎, 大輔 & KUROZUMI, Eiji & 黒住, 英司, 2014. "Improving the Finite Sample Performance of Tests for a Shift in Mean," Discussion Papers 2014-16, Graduate School of Economics, Hitotsubashi University.
    8. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    9. Seong Yeon Chang & Pierre Perron, 2014. "Inference on a Structural Break in Trend with Fractionally Integrated Errors," Boston University - Department of Economics - Working Papers Series wp2015-011, Boston University - Department of Economics, revised 20 Sep 2015.
    10. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "Robust methods for detecting multiple level breaks in autocorrelated time series [Revised to become No. 10/01 above]," Discussion Papers 09/01, University of Nottingham, Granger Centre for Time Series Econometrics.

  14. Amsler Christine & Schmidt Peter & Vogelsang Timothy J, 2009. "The KPSS Test Using Fixed-b Critical Values: Size and Power in Highly Autocorrelated Time Series," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-44, December.

    Cited by:

    1. Peter Reinhard Hansen & Zhuo Huang, 2012. "Exponential GARCH Modeling with Realized Measures of Volatility," CREATES Research Papers 2012-44, Department of Economics and Business Economics, Aarhus University.
    2. Amsler Christine & Schmidt Peter, 2012. "A Comparison of the Robustness of Several Tests of Short Memory to Autocorrelated Errors," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 56-66, August.
    3. Badi H. Baltagi & Chihwa Kao & Long Liu, 2015. "Estimation and Identification of Change Points in Panel Models with Nonstationary or Stationary Regressors and Error Term," Center for Policy Research Working Papers 178, Center for Policy Research, Maxwell School, Syracuse University.
    4. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. Manuel Landajo & María José Presno, 2010. "Stationarity testing under nonlinear models. Some asymptotic results," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 392-405, September.

  15. Nigar Hashimzade & Timothy J. Vogelsang, 2008. "Fixed‐b asymptotic approximation of the sampling behaviour of nonparametric spectral density estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 142-162, January.
    See citations under working paper version above.
  16. Michael Conlin & Ted O'Donoghue & Timothy J. Vogelsang, 2007. "Projection Bias in Catalog Orders," American Economic Review, American Economic Association, vol. 97(4), pages 1217-1249, September.

    Cited by:

    1. Andrzej Baniak & Peter Grajzl, 2017. "Optimal Liability when Consumers Mispredict Product Usage," American Law and Economics Review, American Law and Economics Association, vol. 19(1), pages 202-243.
    2. Guhl, Daniel & Klapper, Daniel & Massner, Katharina & Spann, Martin & Stich, Lucas & Yegoryan, Narine, 2017. "Behavioral Biases in Marketing," Rationality and Competition Discussion Paper Series 51, CRC TRR 190 Rationality and Competition.
    3. Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
    4. Benjamin J. Keys & Devin G. Pope & Jaren C. Pope, 2014. "Failure to Refinance," NBER Working Papers 20401, National Bureau of Economic Research, Inc.
    5. Meier, Armando N. & Schmid, Lukas D. & Stutzer, Alois, 2016. "Rain, Emotions and Voting for the Status Quo," IZA Discussion Papers 10350, Institute of Labor Economics (IZA).
    6. Brigitte Roth Tran, 2022. "Sellin' in the Rain: Weather, Climate, and Retail Sales," Working Paper Series 2022-02, Federal Reserve Bank of San Francisco.
    7. Bonan, Jacopo & Cattaneo, Cristina & D'Adda, Giovanna & Tavoni, Massimo, 2023. "Daily Temperature and Sales of Energy-using Durables," RFF Working Paper Series 23-43, Resources for the Future.
    8. Götte, Lorenz & Cerulli-Harms, Annette & Sprenger, Charles, 2014. "Randomizing Endowments: An Experimental Study of Rational Expectations and Reference-Dependent Preferences," IZA Discussion Papers 8639, Institute of Labor Economics (IZA).
    9. Stefano DellaVigna & John A. List & Ulrike Malmendier, 2009. "Testing for Altruism and Social Pressure in Charitable Giving," NBER Working Papers 15629, National Bureau of Economic Research, Inc.
    10. Michael Grubb, 2015. "Behavioral Consumers in Industrial Organization: An Overview," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 247-258, November.
    11. Pan, Yinghao & Qin, Yu & Zhang, Fan & Zhu, Hongjia, 2022. "Acquiring land in cold winter: Consequences and possible explanations," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    12. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
    13. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    14. Wang, Qian & Wang, Jun & Gao, Feng, 2021. "Who is more important, parents or children? Economic and environmental factors and health insurance purchase," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    15. Pan He & Pengfei Liu & Yueming (Lucy) Qiu & Lufan Liu, 2022. "The weather affects air conditioner purchases to fill the energy efficiency gap," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    16. Chenxi Li & Xueming Luo & Cheng Zhang, 2017. "Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness," Marketing Science, INFORMS, vol. 36(5), pages 762-779, September.
    17. Michel, Christian & Stenzel, André, 2021. "Model-based evaluation of cooling-off policies," Games and Economic Behavior, Elsevier, vol. 129(C), pages 270-293.
    18. Kfir Eliaz & Ran Spiegler, 2015. "Beyond “Ellison’s Matrix”: New Directions in Behavioral Industrial Organization," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 259-272, November.
    19. Qi Ge & Benjamin Ho, 2019. "Energy Use And Temperature Habituation: Evidence From High Frequency Thermostat Usage Data," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 1196-1214, April.
    20. Marc Kaufmann, 2021. "Projection Bias in Effort Choices," Papers 2104.04327, arXiv.org.
    21. ShiNa Li & Yixin Liu & Shanshan Dai & Mengxin Chen, 2022. "A review of tourism and hospitality studies on behavioural economics," Tourism Economics, , vol. 28(3), pages 843-859, May.
    22. Sophie Clot & Gilles Grolleau & Lisette Ibanez, 2022. "Projection bias in environmental beliefs and behavioural intentions-An application to solar panels and eco-friendly transport," Post-Print hal-03363702, HAL.
    23. Breitmoser, Yves, 2015. "Knowing me, imagining you: Projection and overbidding in auctions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113160, Verein für Socialpolitik / German Economic Association.
    24. Arik Levinson, 2009. "Valuing Public Goods Using Happiness Data: The Case of Air Quality," Working Papers gueconwpa~09-09-03, Georgetown University, Department of Economics.
    25. Christina Gravert & Mette Trier Damgaard, 2016. "The hidden costs of nudging: Experimental evidence from reminders in fundraising," Natural Field Experiments 00549, The Field Experiments Website.
    26. Qin, Yu & Wu, Jing & Yan, Jubo, 2019. "Negotiating housing deal on a polluted day: Consequences and possible explanations," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 161-187.
    27. Michael D. Grubb, 2009. "Selling to Overconfident Consumers," American Economic Review, American Economic Association, vol. 99(5), pages 1770-1807, December.
    28. Inge van den Bijgaart, 2018. "Too Slow a Change? Deep Habits, Consumption Shifts and Transitory Tax Policy," CESifo Working Paper Series 6958, CESifo.
    29. Matilde Giaccherini & David Herberich & David Jimenez-Gomez & John List & Giovanni Ponti & Michael Price, 2020. "Are Economics and Psychology Complements in Household Technology Diffusion? Evidence from a Natural Field Experiment," Natural Field Experiments 00713, The Field Experiments Website.
    30. Bertrand, Jean-Louis & Brusset, Xavier & Fortin, Maxime, 2015. "Assessing and hedging the cost of unseasonal weather: Case of the apparel sector," European Journal of Operational Research, Elsevier, vol. 244(1), pages 261-276.
    31. Buchheim, Lukas & Kolaska, Thomas, 2016. "Weather and the Psychology of Purchasing Outdoor-Movie Tickets," Discussion Papers in Economics 26930, University of Munich, Department of Economics.
    32. Arik Levinson, 2013. "Happiness as a Public Policy Tool," Working Papers gueconwpa~13-13-04, Georgetown University, Department of Economics.
    33. Arik Levinson, 2018. "Happiness, Behavioral Economics, and Public Policy," Working Papers gueconwpa~18-18-17, Georgetown University, Department of Economics.
    34. Avi Goldfarb & Teck-Hua Ho & Wilfred Amaldoss & Alexander Brown & Yan Chen & Tony Cui & Alberto Galasso & Tanjim Hossain & Ming Hsu & Noah Lim & Mo Xiao & Botao Yang, 2012. "Behavioral models of managerial decision-making," Marketing Letters, Springer, vol. 23(2), pages 405-421, June.
    35. Chen, Shuai & Oliva, Paulina & Zhang, Peng, 2022. "The effect of air pollution on migration: Evidence from China," Journal of Development Economics, Elsevier, vol. 156(C).
    36. Zhonghua Huang & Xuejun Du, 2022. "Does air pollution affect investor cognition and land valuation? Evidence from the Chinese land market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(2), pages 593-613, June.
    37. Weimann Joachim, 2015. "Die Rolle von Verhaltensökonomik und experimenteller Forschung in Wirtschaftswissenschaft und Politikberatung," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 231-252, October.
    38. Tian, Xin & Cao, Shasha & Song, Yan, 2021. "The impact of weather on consumer behavior and retail performance: Evidence from a convenience store chain in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    39. Ivana Štulec, 2017. "Effectiveness of Weather Derivatives as a Risk Management Tool in Food Retail: The Case of Croatia," IJFS, MDPI, vol. 5(1), pages 1-15, January.
    40. Jie He & Bing Zhang, 2021. "Current Air Pollution and Willingness to Pay for Better Air Quality: Revisiting the Temporal Reliability of the Contingent Valuation Method," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(1), pages 135-168, May.
    41. Daria Dzyabura & Siham El Kihal & John R. Hauser & Marat Ibragimov, 2023. "Leveraging the Power of Images in Managing Product Return Rates," Marketing Science, INFORMS, vol. 42(6), pages 1125-1142, November.
    42. Agarwal, Sumit & Chomsisengphet, Souphala & Meier, Stephan & Zou, Xin, 2020. "In the mood to consume: Effect of sunshine on credit card spending," Journal of Banking & Finance, Elsevier, vol. 121(C).
    43. Stanko Dimitrov & Régis Y. Chenavaz & Octavio Escobar, 2023. "Accounting for Climate When Determining the Impact of Weather on Retail Sales," Businesses, MDPI, vol. 3(3), pages 1-18, September.
    44. Matilde Giaccherini & David H. Herberich & David Jimenez-Gomez & John A. List & Giovanni Ponti & Michael K. Price, 2019. "The Behavioralist Goes Door-To-Door: Understanding Household Technological Diffusion Using a Theory-Driven Natural Field Experiment," NBER Working Papers 26173, National Bureau of Economic Research, Inc.
    45. Haggag, Kareem & Patterson, Richard W. & Pope, Nolan G. & Feudo, Aaron, 2021. "Attribution bias in major decisions: Evidence from the United States Military Academy," Journal of Public Economics, Elsevier, vol. 200(C).
    46. Teresa, Briz & Drichoutis, Andreas & Nayga, Rodolfo & House, Lisa, 2011. "Examining Projection Bias in Experimental Auctions: The Role of Hunger and Immediate Gratification," MPRA Paper 44764, University Library of Munich, Germany, revised 05 Mar 0013.
    47. Martínez-de-Albéniz, Victor & Belkaid, Abdel, 2021. "Here comes the sun: Fashion goods retailing under weather fluctuations," European Journal of Operational Research, Elsevier, vol. 294(3), pages 820-830.
    48. Å tulec, Ivana & Petljak, Kristina & Naletina, Dora, 2019. "Weather impact on retail sales: How can weather derivatives help with adverse weather deviations?," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 1-10.
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    52. Meyer, Andrew G. & Hanson, Andrew R. & Hickman, Daniel C., 2017. "Perceptions of institutional quality: Evidence of limited attention to higher education rankings," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 241-258.
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    57. Sophie Bienenstock & Maïva Ropaul, 2018. "On the benefits of being naive: the choice of contract duration with projection bias," European Journal of Law and Economics, Springer, vol. 45(3), pages 469-496, June.
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    65. Acland, Dan & Levy, Matthew, 2013. "Naivete, projection bias, and habit formation in gym attendance," LSE Research Online Documents on Economics 46827, London School of Economics and Political Science, LSE Library.
    66. Fan, Ying & Fu, Yuqi & Yang, Zan & Chen, Ming, 2023. "Search Frictions in Rental Markets: Evidence from Urban China," Working Paper Series 23/11, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    67. Shafi, Kourosh & Mohammadi, Ali, 2020. "Too gloomy to invest: Weather-induced mood and crowdfunding," Journal of Corporate Finance, Elsevier, vol. 65(C).

  17. Bunzel, Helle & Vogelsang, Timothy J., 2005. "Powerful Trend Function Tests That Are Robust to Strong Serial Correlation, With an Application to the Prebisch-Singer Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 381-394, October.
    See citations under working paper version above.
  18. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    See citations under working paper version above.
  19. Kiefer, Nicholas M. & Vogelsang, Timothy J., 2005. "A New Asymptotic Theory For Heteroskedasticity-Autocorrelation Robust Tests," Econometric Theory, Cambridge University Press, vol. 21(6), pages 1130-1164, December.
    See citations under working paper version above.
  20. Nicholas M. Kiefer & Timothy J. Vogelsang, 2002. "Heteroskedasticity-Autocorrelation Robust Standard Errors Using The Bartlett Kernel Without Truncation," Econometrica, Econometric Society, vol. 70(5), pages 2093-2095, September.

    Cited by:

    1. Jen-Je Su, 2004. "Testing for no autocorrelation using a modified Lobato test," Economics Bulletin, AccessEcon, vol. 3(46), pages 1-9.
    2. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. McCulloch, J. Huston, 2016. "Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 712-733.
    4. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    5. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    6. Pötscher, Benedikt M. & Preinerstorfer, David, 2016. "Controlling the Size of Autocorrelation Robust Tests," MPRA Paper 75657, University Library of Munich, Germany.
    7. Heejoon Han & Oliver Linton & Tatsushi Oka & Yoon-Jae Whang, 2014. "The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series," Cambridge Working Papers in Economics 1452, Faculty of Economics, University of Cambridge.
    8. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    9. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    10. Ross McKitrick & Timothy Vogelsang, 2011. "Multivariate trend comparisons between autocorrelated climate series with general trend regressors," Working Papers 1109, University of Guelph, Department of Economics and Finance.
    11. Lu, Ye & Park, Joon Y., 2019. "Estimation of longrun variance of continuous time stochastic process using discrete sample," Journal of Econometrics, Elsevier, vol. 210(2), pages 236-267.
    12. Harding, Don & Pagan, Adrian, 2006. "Synchronization of cycles," Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
    13. McElroy, Tucker S & Politis, D N, 2011. "Distribution Theory for the Studentized Mean for Long, Short, and Negative Memory Time Series," University of California at San Diego, Economics Working Paper Series qt0dr145dt, Department of Economics, UC San Diego.
    14. Christis Katsouris, 2023. "Limit Theory under Network Dependence and Nonstationarity," Papers 2308.01418, arXiv.org, revised Aug 2023.
    15. Alessandro Casini & Pierre Perron, 2021. "Prewhitened Long-Run Variance Estimation Robust to Nonstationarity," Papers 2103.02235, arXiv.org, revised Dec 2021.
    16. Richard T. Baillie & Francis X. Diebold & George Kapetanios & Kun Ho Kim, 2022. "On Robust Inference in Time Series Regression," Papers 2203.04080, arXiv.org, revised Oct 2023.
    17. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    18. Ray, Surajit & Savin, N.E. & Tiwari, Ashish, 2009. "Testing the CAPM revisited," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 721-733, December.
    19. Boonsoo Koo & Myung Hwan Seo, 2013. "Structural-break models under mis-specification: implications for forecasting," Monash Econometrics and Business Statistics Working Papers 11/13, Monash University, Department of Econometrics and Business Statistics.
    20. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," LSE Research Online Documents on Economics 107426, London School of Economics and Political Science, LSE Library.
    21. Abhimanyu Gupta & Myung Hwan Seo, 2023. "Robust Inference on Infinite and Growing Dimensional Time‐Series Regression," Econometrica, Econometric Society, vol. 91(4), pages 1333-1361, July.
    22. Sun, Yixiao, 2014. "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
    23. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    24. David Powell, 2017. "Inference with Correlated Clusters," Working Papers WR-1137-1, RAND Corporation.
    25. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    26. Guggenberger, Patrik & Smith, Richard J., 2008. "Generalized empirical likelihood tests in time series models with potential identification failure," Journal of Econometrics, Elsevier, vol. 142(1), pages 134-161, January.
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    28. Eduard Baum??hl & ??tefan Ly??csa, 2014. "How smooth is the stock market integration of CEE-3?," William Davidson Institute Working Papers Series wp1079, William Davidson Institute at the University of Michigan.
    29. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
    30. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    31. Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
    32. Danish & Recep Ulucak, 2020. "The pathway toward pollution mitigation: Does institutional quality make a difference?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3571-3583, December.
    33. Nordman, Daniel J. & Bunzel, Helle & Lahiri, Soumendra N., 2013. "A Nonstandard Empirical Likelihood for Time Series," Staff General Research Papers Archive 37203, Iowa State University, Department of Economics.
    34. Peter C. B. Phillips & Xiaohu Wang & Yonghui Zhang, 2019. "HAR Testing for Spurious Regression in Trend," Econometrics, MDPI, vol. 7(4), pages 1-28, December.
    35. Xu, Ke-Li, 2012. "Robustifying multivariate trend tests to nonstationary volatility," Journal of Econometrics, Elsevier, vol. 169(2), pages 147-154.
    36. Alessandro Casini, 2021. "Theory of Evolutionary Spectra for Heteroskedasticity and Autocorrelation Robust Inference in Possibly Misspecified and Nonstationary Models," Papers 2103.02981, arXiv.org.
    37. Shin-Kun Peng & Takatoshi Tabuchi, 2005. "Spatial Competition in Variety and Number of Stores," CIRJE F-Series CIRJE-F-360, CIRJE, Faculty of Economics, University of Tokyo.
    38. Denis Kojevnikov & Kyungchul Song, 2021. "Some Impossibility Results for Inference With Cluster Dependence with Large Clusters," Papers 2109.03971, arXiv.org, revised Jun 2023.
    39. Su, Zhifang & Bao, Haohua & Li, Qifang & Xu, Boyu & Cui, Xin, 2022. "The prediction of price gap anomaly in Chinese stock market: Evidence from the dependent functional logit model," Finance Research Letters, Elsevier, vol. 47(PB).
    40. Choi, Hwan-sik & Jeong, Minsoo & Park, Joon Y., 2014. "An asymptotic analysis of likelihood-based diffusion model selection using high frequency data," Journal of Econometrics, Elsevier, vol. 178(P3), pages 539-557.
    41. Wei-Ming Lee & Chung-Ming Kuan, 2006. "Testing Over-Identifying Restrictions without Consistent Estimation of the Asymptotic Covariance Matrix," IEAS Working Paper : academic research 06-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    42. Choi, Hwan-sik, 2016. "Information theory for maximum likelihood estimation of diffusion models," Journal of Econometrics, Elsevier, vol. 191(1), pages 110-128.
    43. Sun, Yixiao, 2011. "Robust trend inference with series variance estimator and testing-optimal smoothing parameter," Journal of Econometrics, Elsevier, vol. 164(2), pages 345-366, October.
    44. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    45. Lee, Wei-Ming, 2007. "Robust M tests using kernel-based estimators with bandwidth equal to sample size," Economics Letters, Elsevier, vol. 96(3), pages 295-300, September.
    46. Sainan Jin & Peter C.B. Phillips & Yixiao Sun, 2005. "A New Approach to Robust Inference in Cointegration," Cowles Foundation Discussion Papers 1538, Cowles Foundation for Research in Economics, Yale University.
    47. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    48. Pierre Perron & Linxia Ren, 2010. "On the Irrelevance of Impossibility Theorems: The Case of the Long-run Variance," Boston University - Department of Economics - Working Papers Series WP2010-049, Boston University - Department of Economics.
    49. Hugo Ferrer-Pérez & María-Isabel Ayuda & Antonio Aznar, 2019. "Improving the Performance of a Long-Run Variance Ratio Test for a Unit Root," The Japanese Economic Review, Springer, vol. 70(2), pages 258-274, June.
    50. Julian Martinez-Iriarte & Yixiao Sun & Xuexin Wang, 2019. "Asymptotic F Tests under Possibly Weak Identification," Working Papers 2019-03-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    51. Yixiao Sun & Peter C.B. Phillips & Sainan Jin, 2010. "Power Maximization and Size Control in Heteroskedasticity and Autocorrelation Robust Tests with Exponentiated Kernels," Cowles Foundation Discussion Papers 1749, Cowles Foundation for Research in Economics, Yale University.
    52. Liu, Cheng & Sun, Yixiao, 2019. "A Simple and Trustworthy Asymptotic t Test in Difference-in-Differences Regressions," University of California at San Diego, Economics Working Paper Series qt0ck2109g, Department of Economics, UC San Diego.
    53. Yixiao Sun & Xuexin Wang, 2019. "An Asymptotically F-Distributed Chow Test in the Presence of Heteroscedasticity and Autocorrelation," Papers 1911.03771, arXiv.org.
    54. Peter Pedroni, 2018. "Panel Cointegration Techniques and Open Challenges," Department of Economics Working Papers 2018-09, Department of Economics, Williams College.
    55. Sun, Yixiao & Yang, Jingjing, 2020. "Testing-optimal kernel choice in HAR inference," Journal of Econometrics, Elsevier, vol. 219(1), pages 123-136.
    56. Federico Belotti & Alessandro Casini & Leopoldo Catania & Stefano Grassi & Pierre Perron, 2023. "Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings," Econometric Reviews, Taylor & Francis Journals, vol. 42(3), pages 281-306, February.
    57. Jun Wen & Waheed Ali & Jamal Hussain & Nadeem Akhtar Khan & Hadi Hussain & Najabat Ali & Rizwan Akhtar, 2022. "Dynamics between green innovation and environmental quality: new insights into South Asian economies," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 543-565, July.
    58. Seyfettin Erdoğan & Nigar Demircan Çakar & Recep Ulucak & Danish & Yacouba Kassouri, 2021. "The role of natural resources abundance and dependence in achieving environmental sustainability: Evidence from resource‐based economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 143-154, January.
    59. Jiti Gao & Bin Peng & Yayi Yan, 2022. "Higher-order Expansions and Inference for Panel Data Models," Papers 2205.00577, arXiv.org, revised Jun 2023.
    60. Shujie Ma & Oliver Linton & Jiti Gao, 2018. "Estimation in semiparametric quantile factor models," CeMMAP working papers CWP07/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    61. Xiaofeng Shao, 2010. "A self‐normalized approach to confidence interval construction in time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 343-366, June.
    62. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    63. Destek, Mehmet Akif & Sarkodie, Samuel Asumadu & Asamoah, Ernest Frimpong, 2020. "Does biomass energy drive environmental sustainability? An SDG perspective for top five biomass consuming countries," MPRA Paper 114218, University Library of Munich, Germany, revised 29 Mar 2021.
    64. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
    65. Li, Kunpeng & Cui, Guowei & Lu, Lina, 2020. "Efficient estimation of heterogeneous coefficients in panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 216(2), pages 327-353.
    66. Majid M. Al-Sadoon, 2016. "Testing Subspace Granger Causality," Working Papers 850, Barcelona School of Economics.
    67. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    68. McElroy, Tucker & Politis, Dimitris, 2013. "Spectral Density and Spectral Distribution Inference for Long Memory Time Series via Fixed-b Asymptotics," University of California at San Diego, Economics Working Paper Series qt6164c110, Department of Economics, UC San Diego.
    69. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    70. Timmermann Allan & Capistrán Carlos, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
    71. 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.
    72. Destek, Mehmet Akif & Aydın, Sercan & Destek, Gamze, 2022. "Investigating an optimal resource dependency to prevent natural resource curse: Evidence from countries with the curse risk," Resources Policy, Elsevier, vol. 79(C).
    73. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    74. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    75. Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
    76. Harold D. Chiang & Yuya Sasaki & Yulong Wang, 2023. "On the Inconsistency of Cluster-Robust Inference and How Subsampling Can Fix It," Papers 2308.10138, arXiv.org, revised Mar 2024.
    77. 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.
    78. Jungbin Hwang & Gonzalo Valdés, 2020. "Finite-sample Corrected Inference for Two-step GMM in Time Series," Working papers 2020-02, University of Connecticut, Department of Economics.
    79. Marcio Laurini & Alberto Ohashi, 2014. "A Noisy Principal Component Analysis for Forward Rate Curves," Papers 1408.6279, arXiv.org.
    80. Yunzhao, Lu, 2022. "Modelling the role of eco innovation, renewable energy, and environmental taxes in carbon emissions reduction in E−7 economies: Evidence from advance panel estimations," Renewable Energy, Elsevier, vol. 190(C), pages 309-318.
    81. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    82. Shujie Ma & Oliver Linton & Jiti Gao, 2017. "Estimation and inference in semiparametric quantile factor models," Monash Econometrics and Business Statistics Working Papers 8/17, Monash University, Department of Econometrics and Business Statistics.
    83. Thiago Revil T. Ferreira, 2018. "Stock Market Cross-Sectional Skewness and Business Cycle Fluctuations," International Finance Discussion Papers 1223, Board of Governors of the Federal Reserve System (U.S.).
    84. Xu, Ke-Li, 2016. "Multivariate trend function testing with mixed stationary and integrated disturbances," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 38-57.
    85. Preinerstorfer, David & Pötscher, Benedikt M., 2013. "On Size and Power of Heteroscedasticity and Autocorrelation Robust Tests," MPRA Paper 45675, University Library of Munich, Germany.
    86. Politis, D N, 2009. "Higher-Order Accurate, Positive Semi-definite Estimation of Large-Sample Covariance and Spectral Density Matrices," University of California at San Diego, Economics Working Paper Series qt66w826hz, Department of Economics, UC San Diego.
    87. Jean-Paul Chavas, 2008. "On Storage Behavior Under Imperfect Competition, with Application to the American Cheese Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 325-339, December.
    88. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Nov 2021.
    89. Jiti Gao & Bin Peng & Yayi Yan, 2022. "A Simple Bootstrap Method for Panel Data Inferences," Monash Econometrics and Business Statistics Working Papers 7/22, Monash University, Department of Econometrics and Business Statistics.
    90. Ulrich K. Müller, 2014. "HAC Corrections for Strongly Autocorrelated Time Series," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 311-322, July.
    91. Mototsugu Shintani & Tomoyoshi Yabu & Daisuke Nagakura, 2008. "Spurious Regressions in Technical Trading: Momentum or Contrarian?," IMES Discussion Paper Series 08-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    92. Jose E. Gomez-Gonzalez & Santiago Gomez-Malagon & Luis F. Melo-Velandia & Daniel Ordoñez-Callamand, 2020. "A rank approach for studying cross-currency bases and the covered interest rate parity," Empirical Economics, Springer, vol. 59(1), pages 357-369, July.
    93. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    94. Sun, Yixiao & Kim, Min Seong, 2012. "Simple and powerful GMM over-identification tests with accurate size," Journal of Econometrics, Elsevier, vol. 166(2), pages 267-281.
    95. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.
    96. Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
    97. Karsten Reichold & Carsten Jentsch, 2022. "A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions," Papers 2204.01373, arXiv.org.
    98. Thiago Revil T. Ferreira, 2022. "Cross-Sectional Financial Conditions, Business Cycles and The Lending Channel," International Finance Discussion Papers 1335, Board of Governors of the Federal Reserve System (U.S.).
    99. Hwang, Jungbin & Valdés, Gonzalo, 2023. "Finite-sample corrected inference for two-step GMM in time series," Journal of Econometrics, Elsevier, vol. 234(1), pages 327-352.

  21. Serena Ng & Timothy Vogelsang, 2002. "Analysis Of Vector Autoregressions In The Presence Of Shifts In Mean," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 353-381.
    See citations under working paper version above.
  22. Timothy J. Vogelsang & Marc Tomljanovich, 2002. "Are U.S. regions converging? Using new econometric methods to examine old issues," Empirical Economics, Springer, vol. 27(1), pages 49-62.

    Cited by:

    1. Gomes, Fábio Augusto Reis & da Silva, Cleomar Gomes, 2009. "Hysteresis versus NAIRU and convergence versus divergence: The behavior of regional unemployment rates in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 308-322, May.
    2. Mar'ia Jos'e Presno & Manuel Landajo & Paula Fern'andez Gonz'alez, 2024. "Stochastic convergence in per capita CO$_2$ emissions. An approach from nonlinear stationarity analysis," Papers 2402.00567, arXiv.org.
    3. Augusto Delgado & Gabriel Rodríguez, 2015. "Structural Breaks and Convergence in the Regions of Peru: 1970–2010," Review of Development Economics, Wiley Blackwell, vol. 19(2), pages 346-357, May.
    4. John W. Dawson & Amit Sen, 2005. "New Evidence on the Convergence of International Income from a Group of 29 Countries," Working Papers 05-22, Department of Economics, Appalachian State University.
    5. Evzen Kocenda & Ali M. Kutan & Taner M. Yigit, 2005. "Pilgrims to the Eurozone: How Far, How Fast?," CERGE-EI Working Papers wp279, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Carvalho, Vasco M. & Harvey, Andrew C., 2005. "Growth, cycles and convergence in US regional time series," International Journal of Forecasting, Elsevier, vol. 21(4), pages 667-686.
    7. Presno, María José & Landajo, Manuel & Fernández González, Paula, 2018. "Stochastic convergence in per capita CO2 emissions. An approach from nonlinear stationarity analysis," Energy Economics, Elsevier, vol. 70(C), pages 563-581.
    8. Fallahi, Firouz, 2011. "Convergence of Total Health Expenditure as a Share of GDP: Evidence from Selected OECD Countries," MPRA Paper 51324, University Library of Munich, Germany.
    9. Fábio Augusto Reis Gomes & Cleomar Gomes da Silva, 2006. "Hysteresis Vs. Nairu And Convergence Vs. Divergence: The Behavior Of Regional Unemployment Rates In Brazil," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 161, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Delgado Narro, Augusto Ricardo, 2020. "The Process of Convergence among the Japanese Prefectures: 1955 - 2012," MPRA Paper 100361, University Library of Munich, Germany.
    11. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    12. Kocenda, Evzen & Kutan, Ali M. & Yigit, Taner M., 2008. "Fiscal convergence in the European Union," The North American Journal of Economics and Finance, Elsevier, vol. 19(3), pages 319-330, December.
    13. Ramírez Carrera, Dionisio & Rodríguez, Gabriel, 2009. "Have European Unemployment Rates Converged?," Working Papers 2009-007, Banco Central de Reserva del Perú.
    14. Martin Schmidt & David Berri, 2004. "Convergence and clustering in major league baseball: the haves and have nots?," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2007-2014.
    15. Marc Tomljanovich, 2004. "The Role of State Fiscal Policy in State Economic Growth," Contemporary Economic Policy, Western Economic Association International, vol. 22(3), pages 318-330, July.
    16. Omid Ranjbar & Tsangyao Chang & Chien-Chiang Lee, 2016. "Income Convergence toward USA: New Evidences for Latin and South American Countries," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 20(2), pages 141-162, Spring.
    17. Kutan, Ali M. & Yigit, Taner M., 2007. "European integration, productivity growth and real convergence," European Economic Review, Elsevier, vol. 51(6), pages 1370-1395, August.
    18. Juncal Cunado & Fernando Perez de Gracia, 2006. "Real convergence in some Central and Eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 38(20), pages 2433-2441.
    19. Burcu Ozcan, 2014. "Does Income Converge among EU Member Countries following the Post-War Period? Evidence from the PANKPSS Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 22-38, October.
    20. Joseph DeJuan & Marc Tomljanovich, 2005. "Income convergence across Canadian provinces in the 20th century: Almost but not quite there," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 39(3), pages 567-592, September.
    21. Erwin Bulte & John A. List & Mark C. Strazicich, 2004. "Regulatory Federalism and the Distribution of Air Pollutant Emissions," Working Papers 04-16, Department of Economics, Appalachian State University.
    22. DeJuan, Joseph & Persson, Joakim & Tomljanovich, Marc, 2012. "Regional Income Convergence in Sweden, 1911-2003: A Time Series Analysis," The Journal of Economic Asymmetries, Elsevier, vol. 9(1), pages 67-87.
    23. Miles, William, 2020. "Regional convergence-and divergence-in the US," Research in Economics, Elsevier, vol. 74(2), pages 131-139.
    24. Cunado, J. & Perez de Gracia, F., 2006. "Real convergence in Africa in the second-half of the 20th century," Journal of Economics and Business, Elsevier, vol. 58(2), pages 153-167.
    25. Josep Lluís Carrion-i-Silvestre & Vicente German-Soto, 2008. "Panel Data Stochastic Convergence Analysis of the Mexican Regions," IREA Working Papers 200805, University of Barcelona, Research Institute of Applied Economics, revised Apr 2008.
    26. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "New evidence on the convergence of per capita carbon dioxide emissions from panel seemingly unrelated regressions augmented Dickey–Fuller tests," Energy, Elsevier, vol. 33(9), pages 1468-1475.
    27. Augusto Delgado & Gabriel Rodríguez, 2013. "Growth of the Peruvian Economy and Convergence in the Regions of Peru: 1970-2010," Documentos de Trabajo / Working Papers 2013-365, Departamento de Economía - Pontificia Universidad Católica del Perú.
    28. Francisco Serranito, 2013. "Heterogeneous technology and the technological catching-up hypothesis: Theory and assessment in the case of MENA countries," Post-Print hal-01384675, HAL.
    29. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    30. Ceylan, Reşat & Abiyev, Vasif, 2016. "An examination of convergence hypothesis for EU-15 countries," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 96-105.
    31. Chang, Chun-Ping & Lee, Chien-Chiang, 2008. "Are per capita carbon dioxide emissions converging among industrialized countries? New time series evidence with structural breaks," Environment and Development Economics, Cambridge University Press, vol. 13(4), pages 497-515, August.
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  23. Kiefer, Nicholas M. & Vogelsang, Timothy J., 2002. "Heteroskedasticity-Autocorrelation Robust Testing Using Bandwidth Equal To Sample Size," Econometric Theory, Cambridge University Press, vol. 18(6), pages 1350-1366, December.

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    1. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Timothy Conley & Silvia Gonçalves & Christian Hansen, 2018. "Inference with Dependent Data in Accounting and Finance Applications," Journal of Accounting Research, Wiley Blackwell, vol. 56(4), pages 1139-1203, September.
    4. Phillips, Peter C.B., 2005. "Automated Discovery In Econometrics," Econometric Theory, Cambridge University Press, vol. 21(1), pages 3-20, February.
    5. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    6. Hansen, Christian B., 2007. "Asymptotic properties of a robust variance matrix estimator for panel data when T is large," Journal of Econometrics, Elsevier, vol. 141(2), pages 597-620, December.
    7. Ching-Chuan Tsong, 2009. "Assessing the Accuracy of Event Forecasts," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 219-240, July.
    8. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    9. Pötscher, Benedikt M. & Preinerstorfer, David, 2016. "Controlling the Size of Autocorrelation Robust Tests," MPRA Paper 75657, University Library of Munich, Germany.
    10. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    11. Kim, Min Seong & Sun, Yixiao & Yang, Jingjing, 2016. "A Fixed-bandwidth View of the Pre-asymptotic Inference for Kernel Smoothing with Time Series Data," University of California at San Diego, Economics Working Paper Series qt2240n3n5, Department of Economics, UC San Diego.
    12. M. Mogliani & T. Ferrière, 2016. "Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP," Working papers 600, Banque de France.
    13. Surajit Ray & N. E. Savin, 2008. "The performance of heteroskedasticity and autocorrelation robust tests: a Monte Carlo study with an application to the three-factor Fama-French asset-pricing model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 91-109.
    14. Hwang, Jungbin & Sun, Yixiao, 2015. "Asymptotic F and t Tests in an Efficient GMM Setting," University of California at San Diego, Economics Working Paper Series qt1c62d8xf, Department of Economics, UC San Diego.
    15. Ray, Surajit & Savin, N.E. & Tiwari, Ashish, 2009. "Testing the CAPM revisited," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 721-733, December.
    16. Sun, Jiajing & Hong, Yongmiao & Linton, Oliver & Zhao, Xiaolu, 2022. "Adjusted-range self-normalized confidence interval construction for censored dependent data," Economics Letters, Elsevier, vol. 220(C).
    17. Yixiao Sun, 2014. "Fixed-smoothing Asymptotics and AsymptoticFandtTests in the Presence of Strong Autocorrelation," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 14, pages 23-63, Emerald Group Publishing Limited.
    18. Sun, Yixiao, 2013. "Fixed-smoothing Asymptotics in a Two-step GMM Framework," University of California at San Diego, Economics Working Paper Series qt64x4z265, Department of Economics, UC San Diego.
    19. Sun, Yixiao, 2014. "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics, Elsevier, vol. 178(P3), pages 659-677.
    20. Hwang, Jungbin & Sun, Yixiao, 2018. "Should we go one step further? An accurate comparison of one-step and two-step procedures in a generalized method of moments framework," Journal of Econometrics, Elsevier, vol. 207(2), pages 381-405.
    21. Amengual, Dante & Carrasco, Marine & Sentana, Enrique, 2020. "Testing distributional assumptions using a continuum of moments," Journal of Econometrics, Elsevier, vol. 218(2), pages 655-689.
    22. Guggenberger, Patrik & Smith, Richard J., 2008. "Generalized empirical likelihood tests in time series models with potential identification failure," Journal of Econometrics, Elsevier, vol. 142(1), pages 134-161, January.
    23. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    24. Matei Demetrescu & Christoph Hanck & Robinson Kruse‐Becher, 2022. "Robust inference under time‐varying volatility: A real‐time evaluation of professional forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1010-1030, August.
    25. Kim, Seonjin & Zhao, Zhibiao & Shao, Xiaofeng, 2015. "Nonparametric functional central limit theorem for time series regression with application to self-normalized confidence interval," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 277-290.
    26. Peter C. B. Phillips & Xiaohu Wang & Yonghui Zhang, 2019. "HAR Testing for Spurious Regression in Trend," Econometrics, MDPI, vol. 7(4), pages 1-28, December.
    27. Sun, Yixiao X & Phillips, Peter C. B. & Jin, Sainan, 2005. "Optimal Bandwidth Selection in Heteroskedasticity-Autocorrelation Robust Testing∗," University of California at San Diego, Economics Working Paper Series qt16b3j2hd, Department of Economics, UC San Diego.
    28. Kiefer, Nicholas M. & Vogelsang, Timothy J., 2005. "A New Asymptotic Theory for Heteroskedasticity-Autocorrelation Robust Tests," Working Papers 05-08, Cornell University, Center for Analytic Economics.
    29. Shin-Kun Peng & Takatoshi Tabuchi, 2005. "Spatial Competition in Variety and Number of Stores," CIRJE F-Series CIRJE-F-360, CIRJE, Faculty of Economics, University of Tokyo.
    30. Wei-Ming Lee & Chung-Ming Kuan, 2006. "Testing Over-Identifying Restrictions without Consistent Estimation of the Asymptotic Covariance Matrix," IEAS Working Paper : academic research 06-A009, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    31. Jianning Kong & Peter C.B. Phillips & Donggyu Sul, 2017. "Weak s- Convergence: Theory and Applications," Cowles Foundation Discussion Papers 2072, Cowles Foundation for Research in Economics, Yale University.
    32. Sun, Yixiao, 2011. "Robust trend inference with series variance estimator and testing-optimal smoothing parameter," Journal of Econometrics, Elsevier, vol. 164(2), pages 345-366, October.
    33. Pedroni, Peter & Vogelsang, Timothy J. & Wagner, Martin & Westerlund, Joakim, 2011. "Nonparametric Rank Tests for Non-stationary Panels," Economics Series 270, Institute for Advanced Studies.
    34. Lee, Wei-Ming, 2007. "Robust M tests using kernel-based estimators with bandwidth equal to sample size," Economics Letters, Elsevier, vol. 96(3), pages 295-300, September.
    35. Sainan Jin & Peter C.B. Phillips & Yixiao Sun, 2005. "A New Approach to Robust Inference in Cointegration," Cowles Foundation Discussion Papers 1538, Cowles Foundation for Research in Economics, Yale University.
    36. Julian Martinez-Iriarte & Yixiao Sun & Xuexin Wang, 2019. "Asymptotic F Tests under Possibly Weak Identification," Working Papers 2019-03-12, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    37. Yixiao Sun & Peter C.B. Phillips & Sainan Jin, 2010. "Power Maximization and Size Control in Heteroskedasticity and Autocorrelation Robust Tests with Exponentiated Kernels," Cowles Foundation Discussion Papers 1749, Cowles Foundation for Research in Economics, Yale University.
    38. Liu, Cheng & Sun, Yixiao, 2019. "A Simple and Trustworthy Asymptotic t Test in Difference-in-Differences Regressions," University of California at San Diego, Economics Working Paper Series qt0ck2109g, Department of Economics, UC San Diego.
    39. Xiaoqing Ye & Yixiao Sun, 2018. "Heteroskedasticity- and autocorrelation-robust F and t tests in Stata," Stata Journal, StataCorp LP, vol. 18(4), pages 951-980, December.
    40. Yixiao Sun & Xuexin Wang, 2019. "An Asymptotically F-Distributed Chow Test in the Presence of Heteroscedasticity and Autocorrelation," Papers 1911.03771, arXiv.org.
    41. Javier Hualde & Fabrizio Iacone, 2015. "Small-b and Fixed-b Asymptotics for Weighted Covariance Estimation in Fractional Cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 528-540, July.
    42. Sun, Yixiao & Yang, Jingjing, 2020. "Testing-optimal kernel choice in HAR inference," Journal of Econometrics, Elsevier, vol. 219(1), pages 123-136.
    43. Zeileis, Achim, 2006. "Object-oriented Computation of Sandwich Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i09).
    44. Xuexin Wang & Yixiao Sun, 2020. "An Asymptotic F Test for Uncorrelatedness in the Presence of Time Series Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(4), pages 536-550, July.
    45. Peter C.B. Phillips & Yixiao Sun & Sainan Jin, 2005. "Improved HAR Inference," Cowles Foundation Discussion Papers 1513, Cowles Foundation for Research in Economics, Yale University.
    46. Xiaofeng Shao, 2010. "A self‐normalized approach to confidence interval construction in time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 343-366, June.
    47. Majid M. Al-Sadoon, 2015. "A General Theory of Rank Testing," Working Papers 750, Barcelona School of Economics.
    48. Bester, C. Alan & Conley, Timothy G. & Hansen, Christian B., 2011. "Inference with dependent data using cluster covariance estimators," Journal of Econometrics, Elsevier, vol. 165(2), pages 137-151.
    49. Dias, Daniel A. & Marques, Carlos Robalo, 2010. "Using mean reversion as a measure of persistence," Economic Modelling, Elsevier, vol. 27(1), pages 262-273, January.
    50. Yang, Jingjing & Vogelsang, Timothy J., 2018. "Finite sample performance of a long run variance estimator based on exactly (almost) unbiased autocovariance estimators," Economics Letters, Elsevier, vol. 165(C), pages 21-27.
    51. Sun, Yixiao & Kaplan, David M., 2011. "A New Asymptotic Theory for Vector Autoregressive Long-run Variance Estimation and Autocorrelation Robust Testing," University of California at San Diego, Economics Working Paper Series qt8cx0t4gc, Department of Economics, UC San Diego.
    52. Majid M. Al-Sadoon, 2016. "Testing Subspace Granger Causality," Working Papers 850, Barcelona School of Economics.
    53. Casini, Alessandro, 2023. "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, vol. 235(2), pages 372-392.
    54. Ulrich K. Müller & Mark W. Watson, 2015. "Low-Frequency Econometrics," NBER Working Papers 21564, National Bureau of Economic Research, Inc.
    55. Fabrizio Iacone & Stephen J. Leybourne & A. M. Robert Taylor, 2014. "A FIXED- b TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 40-54, January.
    56. Qunyong Wang & Na Wu, 2012. "Long-run covariance and its applications in cointegration regression," Stata Journal, StataCorp LP, vol. 12(3), pages 525-542, September.
    57. Ulrich Mueller & Mark W. Watson, 2013. "Measuring Uncertainty about Long-Run Prediction," NBER Working Papers 18870, National Bureau of Economic Research, Inc.
    58. 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.
    59. Al-Sadoon, Majid M., 2017. "A unifying theory of tests of rank," Journal of Econometrics, Elsevier, vol. 199(1), pages 49-62.
    60. Pasquale Tridico & Riccardo Pariboni, 2017. "Structural Change, Aggregate Demand And The Decline Of Labour Productivity: A Comparative Perspective," Departmental Working Papers of Economics - University 'Roma Tre' 0221, Department of Economics - University Roma Tre.
    61. Yixiao Sun & Peter C.B. Phillips, 2008. "Optimal Bandwidth Choice for Interval Estimation in GMM Regression," Cowles Foundation Discussion Papers 1661, Cowles Foundation for Research in Economics, Yale University.
    62. Eben Lazarus & Daniel J. Lewis & James H. Stock, 2021. "The Size‐Power Tradeoff in HAR Inference," Econometrica, Econometric Society, vol. 89(5), pages 2497-2516, September.
    63. Jungbin Hwang & Gonzalo Valdés, 2020. "Finite-sample Corrected Inference for Two-step GMM in Time Series," Working papers 2020-02, University of Connecticut, Department of Economics.
    64. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    65. Travaglini, Guido, 2010. "Dynamic Econometric Testing of Climate Change and of its Causes," MPRA Paper 23600, University Library of Munich, Germany.
    66. Hualde, Javier & Iacone, Fabrizio, 2017. "Fixed bandwidth asymptotics for the studentized mean of fractionally integrated processes," Economics Letters, Elsevier, vol. 150(C), pages 39-43.
    67. Javier Hualde & Fabrizio Iacone, 2015. "Autocorrelation robust inference using the Daniell kernel with fixed bandwidth," Discussion Papers 15/14, Department of Economics, University of York.
    68. Davide De Gaetano, 2017. "A Bootstrap Bias Correction Of Long Run Fourth Order Moment Estimation In The Cusum Of Squares Test," Departmental Working Papers of Economics - University 'Roma Tre' 0220, Department of Economics - University Roma Tre.
    69. Christian A. Vossler, 2013. "Analyzing repeated-game economics experiments: robust standard errors for panel data with serial correlation," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 3, pages 89-112, Edward Elgar Publishing.
    70. Muller, Ulrich K., 2005. "Size and power of tests of stationarity in highly autocorrelated time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 195-213, October.
    71. Preinerstorfer, David & Pötscher, Benedikt M., 2013. "On Size and Power of Heteroscedasticity and Autocorrelation Robust Tests," MPRA Paper 45675, University Library of Munich, Germany.
    72. Cheol-Keun Cho & Timothy J. Vogelsang, 2016. "Fixed- b Inference for Testing Structural Change in a Time Series Regression," Econometrics, MDPI, vol. 5(1), pages 1-26, December.
    73. Muller, Ulrich K., 2007. "A theory of robust long-run variance estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 1331-1352, December.
    74. Kim, Min Seong & Sun, Yixiao, 2011. "Spatial heteroskedasticity and autocorrelation consistent estimation of covariance matrix," Journal of Econometrics, Elsevier, vol. 160(2), pages 349-371, February.
    75. Sun, Yixiao & Kim, Min Seong, 2012. "Simple and powerful GMM over-identification tests with accurate size," Journal of Econometrics, Elsevier, vol. 166(2), pages 267-281.
    76. Francq, Christian & Zakoïan, Jean-Michel, 2007. "HAC estimation and strong linearity testing in weak ARMA models," Journal of Multivariate Analysis, Elsevier, vol. 98(1), pages 114-144, January.
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    78. Preinerstorfer, David, 2014. "Finite Sample Properties of Tests Based on Prewhitened Nonparametric Covariance Estimators," MPRA Paper 58333, University Library of Munich, Germany.

  24. Serena Ng & Timothy J. Vogelsang, 2002. "Forecasting autoregressive time series in the presence of deterministic components," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 196-224, June.
    See citations under working paper version above.
  25. Bunzel H. & Kiefer N. M. & Vogelsang T. J., 2001. "Simple Robust Testing of Hypotheses in Nonlinear Models," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1088-1096, September.
    See citations under working paper version above.
  26. Nicholas M. Kiefer & Timothy J. Vogelsang & Helle Bunzel, 2000. "Simple Robust Testing of Regression Hypotheses," Econometrica, Econometric Society, vol. 68(3), pages 695-714, May.
    See citations under working paper version above.
  27. Eduardo Zambrano & Timothy J. Vogelsang, 2000. "A Simple Test of the Law of Demand for the United States," Econometrica, Econometric Society, vol. 68(4), pages 1013-1022, July.

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    1. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Busetti, Fabio & Harvey, Andrew, 2008. "Testing For Trend," Econometric Theory, Cambridge University Press, vol. 24(1), pages 72-87, February.

  28. Timothy J. Vogelsang, 1999. "Two Simple Procedures for Testing for a Unit Root When There are Additive Outliers," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(2), pages 237-252, March.

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    1. Chen, Jie, 2006. "Housing Wealth and Aggregate Consumption in Sweden," Working Paper Series 2006:16, Uppsala University, Department of Economics.
    2. Vargas Sanchez, Alejandro, 2018. "The performance of mutual funds in Bolivia (2012-2016)," Revista de Ciencias Económicas, Instituto de Investigaciones en Ciencias Económicas, Universidad de Costa Rica, vol. 36(1), December.
    3. Olivier Darne & Jean-Francois Hoarau, 2007. "The purchasing power parity in Australia: evidence from unit root test with structural break," Applied Economics Letters, Taylor & Francis Journals, vol. 15(3), pages 203-206.
    4. Hafner, Christian & Preminger, Arie, 2015. "The effect of additive outliers on a fractional unit root test," LIDAM Discussion Papers ISBA 2015027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Amélie Charles & Olivier Darné, 2012. "Trends and random walks in macroeconomic time series: A reappraisal," Post-Print hal-00956937, HAL.
    6. 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.
    7. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    8. Syed Abul Basher & Stefano Fachin, 2013. "The long-run relationship between savings and investment in oil-exporting developing countries: a case study of the Gulf Arab states," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 37(4), pages 429-446, December.
    9. Maican, Florin G. & Sweeney, Richard J., 2013. "Real exchange rate adjustment in European transition countries," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 907-926.
    10. Carlos Santos & Maria Alberta Oliveira, 2007. "Assessing French Inflation Persistence with Impulse Saturation Break Tests and Automatic General-to-Specific Modelling," Working Papers de Economia (Economics Working Papers) 10, Católica Porto Business School, Universidade Católica Portuguesa.
    11. Niels Haldrup & Antonio Montañés & Andreu Sansó, 2005. "Testing for Additive Outliers in Seasonally Integrated Time Series," DEA Working Papers 15, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    12. Chen, Jie, 2006. "Re-evaluating the association between housing wealth and aggregate consumption: New evidence from Sweden," Journal of Housing Economics, Elsevier, vol. 15(4), pages 321-348, December.
    13. YAMAMOTO, Yohei & 山本, 庸平, 2015. "Asymptotic Inference for Common Factor Models in the Presence of Jumps," Discussion Papers 2015-05, Graduate School of Economics, Hitotsubashi University.
    14. Charles R. Nelson & Jeremy M. Piger & Eric Zivot, 2001. "Markov regime switching and unit root tests," Working Papers 2001-013, Federal Reserve Bank of St. Louis.
    15. Paul Castillo & Alberto Humala & Vicente Tuesta, 2007. "Monetary Policy, Regime Shifts, and Inflation Uncertainty in Peru (1949-2006)," Working Papers 2007-005, Banco Central de Reserva del Perú.
    16. Arranz, Miguel A. & Escribano, Álvaro, 2000. "Outliers robust ECM cointegration test based on the trend components," DES - Working Papers. Statistics and Econometrics. WS 10142, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Olivier Darné & Jean‐François Hoarau, 2007. "Further Evidence On Mean Reversion In The Australian Exchange Rate," Bulletin of Economic Research, Wiley Blackwell, vol. 59(4), pages 383-395, October.
    18. Castillo Aroca, Alberto & Acosta Betancourt, Adelaida Patricia, 2018. "Calidad del empleo y migración interna en Colombia en 2015," Revista de Ciencias Económicas, Instituto de Investigaciones en Ciencias Económicas, Universidad de Costa Rica, vol. 36(1), December.
    19. Niels Haldrup & Andreu Sansó, 2006. "A Note on the Vogelsang Test for Additive Outliers," Economics Working Papers 2006-01, Department of Economics and Business Economics, Aarhus University.
    20. Hande Kucuk & Burc Tuger, 2004. "Relative Price Variability : The Case Of Turkey 1994-2002," Working Papers 0402, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    21. Gabriel Rodriguez, 2013. "A Comparative Note About Estimation of the Fractional Parameter under Additive Outliers," Documentos de Trabajo / Working Papers 2013-356, Departamento de Economía - Pontificia Universidad Católica del Perú.
    22. Gabriel Rodriguez & Dionisio Ramirez, 2014. "A Note on the Size of the ADF Test with Additive Outliers and Fractional Errors. A Reappraisal about the (Non)Stationarity of the Latin-American Inflation Series," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 37(73), pages 113-132.
    23. Katarzyna Rosiak-Lada, 2008. "Stylized Facts of Macroeconomics: the Polish Experience," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 20.
    24. Jungmittag Andre & Grupp Hariolf, 2006. "Wechselwirkungen zwischen Innovations- und Wachstumsprozessen in Deutschland 1951-1999 im Vergleich zu 1850-1913 / Dynamic Relationships Between Innovation Activities and Per Capita Income in Germany ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(2), pages 180-207, April.
    25. Ben Nasr, Adnen & Trabelsi, Abdelwahed, 2005. "Seasonal and Periodic Long Memory Models in the In�ation Rates," MPRA Paper 22690, University Library of Munich, Germany, revised 03 Feb 2006.
    26. Jaramillo, Jose Luis & Yunez-Naude, Antonio & Serrano-Cote, Valeria, 2012. "Spatial Integration Of Mexico And United States In Grain Market: The Case Of Maize, Wheat And Sorghum," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126495, International Association of Agricultural Economists.
    27. Jose Mendez & Ricardo Mora & Carlos San Juan Mesonada, 2005. "A Cointegration Analysis of the Long-Run Supply Response of Spanish Agriculture to the Common Agricultural Policy," International Trade 0512014, University Library of Munich, Germany.
    28. Alanya-Beltran, Willy, 2022. "Unit roots in lower-bounded series with outliers," Economic Modelling, Elsevier, vol. 115(C).
    29. Wadud, Zia, 2015. "Decomposing the drivers of aviation fuel demand using simultaneous equation models," Energy, Elsevier, vol. 83(C), pages 551-559.
    30. Olivier Darné, 2004. "The effects of additive outliers on stationarity tests: a monte carlo study," Economics Bulletin, AccessEcon, vol. 3(16), pages 1-8.
    31. Hong Li & Yanlin Shi, 2022. "Robust information share measures with an application on the international crude oil markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 555-579, April.
    32. Niels Møller & Paul Sharp, 2014. "Malthus in cointegration space: evidence of a post-Malthusian pre-industrial England," Journal of Economic Growth, Springer, vol. 19(1), pages 105-140, March.
    33. Alvaro Escribano & J. Ignacio Peña & Pablo Villaplana, 2011. "Modelling Electricity Prices: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 622-650, October.
    34. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "A Sufficient Statistical Test for Dynamic Stability," MPRA Paper 116684, University Library of Munich, Germany.
    35. Thierno Balde & Gabriel Rodriguez, 2005. "Finite sample effects of additive outliers on the Granger-causality test with an application to money growth and inflation in Peru," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 841-844.
    36. Olivier Darné & Amélie Charles, 2011. "Large shocks in U.S. macroeconomic time series: 1860-1988," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 5(1), pages 79-100, January.
    37. Pierre Perron & Gabriel Rodríguez, 2003. "Searching For Additive Outliers In Nonstationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 193-220, March.
    38. Darne, Olivier & Diebolt, Claude, 2004. "Unit roots and infrequent large shocks: new international evidence on output," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1449-1465, October.
    39. Niels Haldrup & Antonio Montañés & Andreu Sansó, 2009. "Detection of additive outliers in seasonal time series," CREATES Research Papers 2009-40, Department of Economics and Business Economics, Aarhus University.
    40. Westerlund, Joakim & Edgerton, David L. & Opper, Sonja, 2010. "Why is Chinese provincial output diverging?," Journal of Asian Economics, Elsevier, vol. 21(4), pages 333-344, August.
    41. Westerlund, Joakim, 2009. "Testing for Unit Roots in Panel Time Series Models with Multiple Breaks," Working Papers in Economics 384, University of Gothenburg, Department of Economics.
    42. Arranz, Miguel A. & Escribano, Álvaro & Mármol, Francesc, 2002. "Effects of Applying Linear and Nonlinear Filters on Tests for Unit Roots with Additive Outliers," UC3M Working papers. Economics we20091101, Universidad Carlos III de Madrid. Departamento de Economía.
    43. Compagnucci, Fabiano & Gentili, Andrea & Valentini, Enzo & Gallegati, Mauro, 2021. "Have jobs and wages stopped rising? Productivity and structural change in advanced countries," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 412-430.
    44. Gabriel Rodriguez & Dionisio Ramirez, 2013. "A comparison between Tau-d and the procedure TRAMO-SEATS is also included," Documentos de Trabajo / Working Papers 2013-355, Departamento de Economía - Pontificia Universidad Católica del Perú.
    45. Giulio Cifarelli & Giovanna Paladino, 2007. "The buffer stock model redux? An analysis of the dynamics of foreign reserve accumulation," Working Papers - Economics wp2007_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    46. Gawon Yoon, 2003. "The time series behaviour of Brazilian inflation rate: new evidence from unit root tests with good size and power," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 627-631.
    47. Giulio Cifarelli & Giovanna Paladino, 2008. "Reserve overstocking in a highly integrated world. New evidence from Asia and Latin America," The European Journal of Finance, Taylor & Francis Journals, vol. 14(4), pages 315-336.
    48. Luiz Lima & Jaime de Jesus Filho, 2008. "Further investigation of the uncertain trend in US GDP," Applied Economics, Taylor & Francis Journals, vol. 40(9), pages 1207-1216.
    49. Sam Astill & David I. Harvey & A. M. Robert Taylor, 2013. "A bootstrap test for additive outliers in non-stationary time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 454-465, July.
    50. Luis Alberiko Gil-Alana, 2005. "Unit and Fractional Roots in the Presence of Abrupt Changes with an Application to the Brazilian Inf," Faculty Working Papers 19/05, School of Economics and Business Administration, University of Navarra.
    51. 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.

  29. Vogelsang, Timothy J., 1998. "Sources of nonmonotonic power when testing for a shift in mean of a dynamic time series," Journal of Econometrics, Elsevier, vol. 88(2), pages 283-299, November.

    Cited by:

    1. Ted Juhl & Zhijie Xiao, 2008. "Tests For Changing Mean With Monotonic Power," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200809, University of Kansas, Department of Economics, revised Sep 2008.
    2. Kejriwal, Mohitosh, 2009. "Tests for a mean shift with good size and monotonic power," Economics Letters, Elsevier, vol. 102(2), pages 78-82, February.
    3. Deng, Ai & Perron, Pierre, 2008. "A non-local perspective on the power properties of the CUSUM and CUSUM of squares tests for structural change," Journal of Econometrics, Elsevier, vol. 142(1), pages 212-240, January.
    4. Dong Jin Lee, 2011. "Bootstrap Tests for Structural Breaks When the Regressors and Error Term are Nonstationary," Working papers 2011-05, University of Connecticut, Department of Economics.
    5. Giraitis, Liudas & Kokoszka, Piotr & Leipus, Remigijus & Teyssiere, Gilles, 2003. "Rescaled variance and related tests for long memory in volatility and levels," Journal of Econometrics, Elsevier, vol. 112(2), pages 265-294, February.
    6. Andreou, Elena, 2008. "Restoring monotone power in the CUSUM test," Economics Letters, Elsevier, vol. 98(1), pages 48-58, January.
    7. Bilke, L., 2005. "Break in the Mean and Persistence of Inflation: a Sectoral Analysis of French CPI," Working papers 122, Banque de France.
    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. Papell, David H., 2002. "The great appreciation, the great depreciation, and the purchasing power parity hypothesis," Journal of International Economics, Elsevier, vol. 57(1), pages 51-82, June.
    10. Pierre Perron & Tomoyoshi Yabu, 2007. "Estimating Deterministic Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-020, Boston University - Department of Economics.
    11. Altissimo, Filippo & Corradi, Valentina, 2003. "Strong rules for detecting the number of breaks in a time series," Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
    12. Elliott, Graham & Muller, Ulrich K., 2004. "Confidence Sets for the Date of a Single Break in Linear Time Series Regressions," University of California at San Diego, Economics Working Paper Series qt9hf4j4c2, Department of Economics, UC San Diego.
    13. Bilke, Laurent, 2005. "Break in the mean and persistence of inflation: a sectoral analysis of French CPI," Working Paper Series 463, European Central Bank.
    14. Crainiceanu, Ciprian & Vogelsang, Timothy, 2001. "Spectral Density Bandwidth Choice: Source of Nonmonotonic Power for Tests of a Mean Shift in a Time Series," Working Papers 01-14, Cornell University, Center for Analytic Economics.
    15. Juhl, Ted & Xiao, Zhijie, 2005. "A nonparametric test for changing trends," Journal of Econometrics, Elsevier, vol. 127(2), pages 179-199, August.
    16. Elena Andreou & Eric Ghysels, 2004. "Monitoring for Disruptions in Financial Markets," CIRANO Working Papers 2004s-26, CIRANO.

  30. Philip Hans Franses & Timothy J. Vogelsang, 1998. "On Seasonal Cycles, Unit Roots, And Mean Shifts," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 231-240, May.

    Cited by:

    1. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    2. Norman Swanson & Richard Urbach, 2013. "Prediction and Simulation Using Simple Models Characterized by Nonstationarity and Seasonality," Departmental Working Papers 201323, Rutgers University, Department of Economics.
    3. 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).
    4. 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.
    5. Gallo, Andres & Mason, Paul & Shapiro, Steve & Fabritius, Michael, 2010. "What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price," Energy, Elsevier, vol. 35(10), pages 4126-4141.
    6. Franses, Philip Hans & van Dijk, Dick, 2005. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," International Journal of Forecasting, Elsevier, vol. 21(1), pages 87-102.
    7. Gabriel Pons Rotger, 2004. "Seasonal Unit Root Testing Based on the Temporal Aggregation of Seasonal Cycles," Economics Working Papers 2004-1, Department of Economics and Business Economics, Aarhus University.
    8. Dick van Dijk 1 & Birgit Strikholm & Timo Teräsvirta, 2003. "The effects of institutional and technological change and business cycle fluctuations on seasonal patterns in quarterly industrial production series," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 79-98, June.
    9. Bolat, Süleyman & Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2017. "Testing the inflation rates in MENA countries: Evidence from quantile regression approach and seasonal unit root test," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1089-1095.
    10. da Silva Lopes, Artur C. B., 2001. "The robustness of tests for seasonal differencing to structural breaks," Economics Letters, Elsevier, vol. 71(2), pages 173-179, May.
    11. Artur C. B. da Silva Lopes & Antonio Montanes, 2005. "The Behavior Of Hegy Tests For Quarterly Time Series With Seasonal Mean Shifts," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 83-108.
    12. Harvey, David I. & Leybourne, Stephen J. & Newbold, Paul, 2002. "Seasonal unit root tests with seasonal mean shifts," Economics Letters, Elsevier, vol. 76(2), pages 295-302, July.
    13. Broersma, Lourens & Dijk, Jouke van, 2002. "How do Dutch regional labour markets adjust to demand shocks?," Research Report 02D07, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    14. 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.
    15. Bradley Michael D. & Jansen Dennis W., 2000. "Are Business Cycle Dynamics the Same across Countries? Testing Linearity around the Globe," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(2), pages 1-23, July.
    16. Artur C. B. Da Silva Lopes, 2008. "Finite Sample Effects Of Pure Seasonal Mean Shifts On Dickey–Fuller Tests: A Simulation Study," Manchester School, University of Manchester, vol. 76(5), pages 528-538, September.
    17. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707.
    18. Narayan, Paresh Kumar & Popp, Stephan, 2011. "An application of a new seasonal unit root test to inflation," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 707-716, October.
    19. Loh, Chung-Ping A., 2015. "Trends and structural shifts in health tourism: Evidence from seasonal time-series data on health-related travel spending by Canada during 1970–2010," Social Science & Medicine, Elsevier, vol. 132(C), pages 173-180.
    20. Busetti, Fabio & Taylor, A. M. Robert, 2003. "Testing against stochastic trend and seasonality in the presence of unattended breaks and unit roots," Journal of Econometrics, Elsevier, vol. 117(1), pages 21-53, November.
    21. 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.
    22. Westerlund, Joakim & Costantini, Mauro & Narayan, Paresh & Popp, Stephan, 2009. "Seasonal Unit Root Tests for Trending and Breaking Series with Application to Industrial Production," Working Papers in Economics 377, University of Gothenburg, Department of Economics.
    23. Méndez Parra, Maximiliano, 2015. "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses 0115, Department of Economics, University of Sussex Business School.
    24. Tomás Barrio & Mariam Camarero & Cecilio Tamarit, 2019. "Testing for Periodic Integration with a Changing Mean," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 45-75, June.
    25. Sun, Jingwei & Shi, Wendong, 2014. "Aggregation of the generalized fractional processes," Economics Letters, Elsevier, vol. 124(2), pages 258-262.
    26. B. da Silva Lopes, Artur C., 2005. "Finite sample effects of pure seasonal mean shifts on Dickey-Fuller tests," MPRA Paper 125, University Library of Munich, Germany, revised May 2006.
    27. Popp, Stephan, 2007. "Modified seasonal unit root test with seasonal level shifts at unknown time," Economics Letters, Elsevier, vol. 97(2), pages 111-117, November.
    28. Mendez Parra, Maximiliano, 2015. "Seasonal Unit Roots and Structural Breaks in agricultural time series: Monthly exports and domestic supply in Argentina," MPRA Paper 63831, University Library of Munich, Germany, revised 06 Apr 2015.

  31. Vogelsang, Timothy J & Perron, Pierre, 1998. "Additional Tests for a Unit Root Allowing for a Break in the Trend Function at an Unknown Time," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1073-1100, November.
    See citations under working paper version above.
  32. Vogelsang, Timothy J, 1998. "Testing for a Shift in Mean without Having to Estimate Serial-Correlation Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 73-80, January.

    Cited by:

    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. Gerard O'Reilly & Karl Whelan, 2005. "Has Euro-Area Inflation Persistence Changed Over Time?," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 709-720, November.
    3. Serena Ng & Timothy J. Vogelsang, 1997. "Analysis of Vector Autoregressions in the Presence of Shifts in Mean," Boston College Working Papers in Economics 379, Boston College Department of Economics.
    4. David Harvey & Stephen Leybourne, 2014. "Confidence sets for the date of a break in level and trend when the order of integration is unknown," Discussion Papers 14/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    5. 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.
    6. Jushan Bai; Josep Lluís Carrion-i-Silvestre, 2004. "Structural changes, common stochastic trends and unit roots in panel data," Econometric Society 2004 North American Summer Meetings 345, Econometric Society.
    7. Yannick Hoga, 2022. "Quantifying the data-dredging bias in structural break tests," Statistical Papers, Springer, vol. 63(1), pages 143-155, February.
    8. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.
    10. Robert Taylor & Stephen Leybourne & David Harvey, 2004. "Modified Tests for a Change in Persistence," Econometric Society 2004 Australasian Meetings 64, Econometric Society.
    11. Altissimo, Filippo & Corradi, Valentina, 2003. "Strong rules for detecting the number of breaks in a time series," Journal of Econometrics, Elsevier, vol. 117(2), pages 207-244, December.
    12. Morten Ø. Nielsen, 2008. "A Powerful Tuning Parameter Free Test Of The Autoregressive Unit Root Hypothesis," Working Paper 1175, Economics Department, Queen's University.
    13. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    14. Vogelsang, Timothy J., 1998. "Sources of nonmonotonic power when testing for a shift in mean of a dynamic time series," Journal of Econometrics, Elsevier, vol. 88(2), pages 283-299, November.
    15. Mikael Linden, 2002. "Trend model testing of growth convergence in 15 OECD countries, 1946-1997," Applied Economics, Taylor & Francis Journals, vol. 34(2), pages 133-142.
    16. David I. Harvey & Stephen J. Leybourne & Paul Newbold, 2004. "Tests for a Break in Level when the Order of Integration is Unknown," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 133-146, February.
    17. Skrobotov, Anton, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    18. László Kónya, 2020. "Did the unemployment rates converge in the EU?," Empirical Economics, Springer, vol. 59(2), pages 627-657, August.
    19. Lai, Kon S., 2008. "The puzzling unit root in the real interest rate and its inconsistency with intertemporal consumption behavior," Journal of International Money and Finance, Elsevier, vol. 27(1), pages 140-155, February.
    20. 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.
    21. David I. Harvey & Stephen J. Leybourne, 2013. "Break date estimation for models with deterministic structural change," Discussion Papers 13/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    22. Crainiceanu, Ciprian & Vogelsang, Timothy, 2001. "Spectral Density Bandwidth Choice: Source of Nonmonotonic Power for Tests of a Mean Shift in a Time Series," Working Papers 01-14, Cornell University, Center for Analytic Economics.

  33. Timothy J. Vogelsang, 1998. "Trend Function Hypothesis Testing in the Presence of Serial Correlation," Econometrica, Econometric Society, vol. 66(1), pages 123-148, January.

    Cited by:

    1. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "The impact of the initial condition on robust tests for a linear trend," Discussion Papers 09/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    2. Abi Morshed, Alaa & Andreou, E. & Boldea, Otilia, 2016. "Structural Break Tests Robust to Regression Misspecification," Discussion Paper 2016-019, Tilburg University, Center for Economic Research.
    3. Kan Li & Randall Morck & Fan Yang & Bernard Yeung, 2003. "Firm-Specific Variation and Openness in Emerging Markets," William Davidson Institute Working Papers Series 2003-623, William Davidson Institute at the University of Michigan.
    4. 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.
    5. Tae‐Hwan Kim & Stephan Pfaffenzeller & Tony Rayner & Paul Newbold, 2003. "Testing for Linear Trend with Application to Relative Primary Commodity Prices," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(5), pages 539-551, September.
    6. Badi H. Baltagi & Chihwa Kao & Sanggon Na, 2011. "Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary," Center for Policy Research Working Papers 128, Center for Policy Research, Maxwell School, Syracuse University.
    7. Gadea Rivas, María Dolores & Gonzalo, Jesús, 2017. "Trends in distributional characteristics : Existence of global warming," UC3M Working papers. Economics 24121, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Jiti Gao & Maxwell King, 2011. "A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors," Monash Econometrics and Business Statistics Working Papers 20/11, Monash University, Department of Econometrics and Business Statistics.
    9. Atanu Ghoshray & Issam Malki, 2021. "The share of the global energy mix: Signs of convergence?," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 34-50, January.
    10. Augusto Delgado & Gabriel Rodríguez, 2015. "Structural Breaks and Convergence in the Regions of Peru: 1970–2010," Review of Development Economics, Wiley Blackwell, vol. 19(2), pages 346-357, May.
    11. David Harvey & Stephen Leybourne, 2014. "Confidence sets for the date of a break in level and trend when the order of integration is unknown," Discussion Papers 14/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    12. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2015. "Infant mortality rates: time trends and fractional integration," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 589-602, March.
    13. Rickard Sandberg, 2015. "M-estimator based unit root tests in the ESTAR framework," Statistical Papers, Springer, vol. 56(4), pages 1115-1135, November.
    14. Evzen Kocenda & Ali M. Kutan & Taner M. Yigit, 2005. "Pilgrims to the Eurozone: How Far, How Fast?," CERGE-EI Working Papers wp279, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    15. d'Agostino, Giorgio & Daddi, Pierluigi & Pieroni, Luca & Steinbrueck, Eric, 2014. "Does military spending stimulate growth? An empirical investigation in Italy," MPRA Paper 58290, University Library of Munich, Germany.
    16. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2010. "Robust methods for detecting multiple level breaks in autocorrelated time series," Discussion Papers 10/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    17. Mohitosh Kejriwal & Pierre Perron, 2009. "A Sequential Procedure to Determine the Number of Breaks in Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series wp2009-005, Boston University - Department of Economics.
    18. Sungju Chun & Pierre Perron, 2013. "Comparisons of robust tests for shifts in trend with an application to trend deviations of real exchange rates in the long run," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3512-3528, August.
    19. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Testing for Shifts in Trend With an Integrated or Stationary Noise Component," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 369-396.
    20. A H Ahmad & E J Pentecost, 2011. "Exchange Rate Regime Verification: An Alternative Method of Testing for Regime Changes," Department of Economics Working Papers 22748, University of Bath, Department of Economics.
    21. Yaya, OlaOluwa A & Gil-Alana, Luis A., 2018. "Modelling Long Range Dependence and Non-linearity in the Infant Mortality Rates of Africa Countries," MPRA Paper 88752, University Library of Munich, Germany.
    22. Chihwa Kao & Jamie Emerson, 1998. "On the Estimation of a Linear Time Trend Regression with a One- Way Error Component Model in the Presence of Serially Correlated Errors," Econometrics 9805004, University Library of Munich, Germany.
    23. Roy, Anindya & Falk, Barry & Fuller, Wayne A., 1999. "Estimation of the Trend Model with Autoregressive Errors," ISU General Staff Papers 199907010700001328, Iowa State University, Department of Economics.
    24. Pötscher, Benedikt M. & Preinerstorfer, David, 2017. "Further Results on Size and Power of Heteroskedasticity and Autocorrelation Robust Tests, with an Application to Trend Testing," MPRA Paper 81053, University Library of Munich, Germany.
    25. David I. Harvey & Stephen J. Leybourne & Bin Xiao, 2007. "A powerful test for linearity when the order of integration is unknown," Discussion Papers 07/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    26. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    27. Bali, Turan G. & Cakici, Nusret & Levy, Haim, 2008. "A model-independent measure of aggregate idiosyncratic risk," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 878-896, December.
    28. d'Agostino, G. & Dunne, J.P. & Pieroni, L., 2011. "Optimal military spending in the US: A time series analysis," Economic Modelling, Elsevier, vol. 28(3), pages 1068-1077, May.
    29. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2007. "Unit root testing in practice: dealing with uncertainty over the trend and initial condition," Discussion Papers 07/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    30. 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.
    31. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    32. Easaw, Joshy & Ghoshray, Atanu, 2023. "On the trend and variability of 18th century British Transatlantic slave prices," Cardiff Economics Working Papers E2023/29, Cardiff University, Cardiff Business School, Economics Section.
    33. Fallahi, Firouz, 2011. "Convergence of Total Health Expenditure as a Share of GDP: Evidence from Selected OECD Countries," MPRA Paper 51324, University Library of Munich, Germany.
    34. Antonios Antypas & Phoebe Koundouri & Nikolaos Kourogenis, 2013. "Hotelling Rules: Oscillatory Versus Quadratic Trends in Natural Resource Prices," GRI Working Papers 126, Grantham Research Institute on Climate Change and the Environment.
    35. Giuseppe Cavaliere & David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2009. "Testing for unit roots in the presence of a possible break in trend and non-stationary volatility," Discussion Papers 09/05, University of Nottingham, Granger Centre for Time Series Econometrics.
    36. Halunga, Andreea G. & Osborn, Denise R. & Sensier, Marianne, 2009. "Changes in the order of integration of US and UK inflation," Economics Letters, Elsevier, vol. 102(1), pages 30-32, January.
    37. Liow, Kim Hiang & Addae-Dapaah, Kwame, 2010. "Idiosyncratic risk, market risk and correlation dynamics in the US real estate investment trusts," Journal of Housing Economics, Elsevier, vol. 19(3), pages 205-218, September.
    38. Christensen, Bent Jesper & Kruse, Robinson & Sibbertsen, Philipp, 2013. "A unified framework for testing in the linear regression model under unknown order of fractional integration," Hannover Economic Papers (HEP) dp-519, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    39. Delgado Narro, Augusto Ricardo, 2020. "The Process of Convergence among the Japanese Prefectures: 1955 - 2012," MPRA Paper 100361, University Library of Munich, Germany.
    40. Ghoshray, Atanu & Kejriwal, Mohitosh & Wohar, Mark E., 2011. "Breaking Trends and the Prebisch-Singer Hypothesis: A Further Investigation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 120387, European Association of Agricultural Economists.
    41. Nazlioglu, Saban, 2014. "Trends in international commodity prices: Panel unit root analysis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 441-451.
    42. Pierre Perron & Mototsugu Shintani & Tomoyoshi Yabu, 2015. "Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component," Vanderbilt University Department of Economics Working Papers 15-00001, Vanderbilt University Department of Economics.
    43. Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2012. "Aggregate Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1155-1185, December.
    44. Skrobotov, Anton, 2022. "On robust testing for trend," Economics Letters, Elsevier, vol. 212(C).
    45. Atanu Ghoshray & Faiza Khan, 2015. "New empirical evidence on income convergence," Empirical Economics, Springer, vol. 49(1), pages 343-361, August.
    46. Firouz Fallahi & Gabriel Rodríguez, 2011. "Convergence In The Canadian Provinces: Evidence Using Unemployment Rates," Documentos de Trabajo / Working Papers 2011-322, Departamento de Economía - Pontificia Universidad Católica del Perú.
    47. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2007. "A simple, robust and powerful test of the trend hypothesis," Journal of Econometrics, Elsevier, vol. 141(2), pages 1302-1330, December.
    48. Chang, Eric C. & Dong, Sen, 2006. "Idiosyncratic volatility, fundamentals, and institutional herding: Evidence from the Japanese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 14(2), pages 135-154, April.
    49. Vogelsang, Timothy J. & Franses, Philip Hans, 2005. "Testing for common deterministic trend slopes," Journal of Econometrics, Elsevier, vol. 126(1), pages 1-24, May.
    50. Saad, Mohsen & Samet, Anis, 2015. "Pricing, dynamics, and determinants of illiquidity risks: International evidence," Emerging Markets Review, Elsevier, vol. 23(C), pages 124-147.
    51. Tony Addison & Atanu Ghoshray, 2020. "Discerning trends in international metal prices in the presence of non-stationary volatility," WIDER Working Paper Series wp-2020-104, World Institute for Development Economic Research (UNU-WIDER).
    52. Badi H. Baltagi & Chihwa Kao & Long Liu, 2014. "Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 347-394, Emerald Group Publishing Limited.
    53. Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2012. "Testing for unit roots in the presence of uncertainty over both the trend and initial condition," Journal of Econometrics, Elsevier, vol. 169(2), pages 188-195.
    54. David I. Harvey & Stephen J. Leybourne & A. M. Robert Taylor, 2010. "Unit root testing under a local break in trend," Discussion Papers 10/05, University of Nottingham, Granger Centre for Time Series Econometrics.
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    2. Perron, P. & Ghysels, E., 1994. "The Effect of Linear Filters on Dynamic Time series with Structural Change," Cahiers de recherche 9425, Universite de Montreal, Departement de sciences economiques.
    3. Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
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    5. Fakhri Hasanov & Fred Joutz & Muhammad Javid, 2021. "Saudi Non-oil Exports Before and After COVID-19: Historical Impacts of Determinants and Scenario Analysis," Discussion Papers ks--2021-dp09, King Abdullah Petroleum Studies and Research Center.
    6. Abdulsalam Altarhouni & Danbala Danju & Ahmed Samour, 2021. "Insurance Market Development, Energy Consumption, and Turkey’s CO 2 Emissions. New Perspectives from a Bootstrap ARDL Test," Energies, MDPI, vol. 14(23), pages 1-13, November.
    7. Wang, Shubin & Wang, Tingting & Li, Jiabao & Zhao, Erlong, 2023. "Resource curse hypothesis in COP26 perspective: Access to clean fuel technology and electricity from renewable energy," Resources Policy, Elsevier, vol. 82(C).
    8. Mohammed Abumunshar & Mehmet Aga & Ahmed Samour, 2020. "Oil Price, Energy Consumption, and CO 2 Emissions in Turkey. New Evidence from a Bootstrap ARDL Test," Energies, MDPI, vol. 13(21), pages 1-15, October.
    9. Samour, Ahmed & Shahzad, Umer & Mentel, Grzegorz, 2022. "Moving toward sustainable development: Assessing the impacts of taxation and banking development on renewable energy in the UAE," Renewable Energy, Elsevier, vol. 200(C), pages 706-713.
    10. Lei Lv & Zhixin Liu & Yingying Xu, 2019. "Technological progress, globalization and low-inflation: Evidence from the United States," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-19, April.

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