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Citations for "The Wild Bootstrap, Tamed at Last"

by Russell Davidson & Emmanuel Flachaire

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  1. Jamie Emerson & Chihwa Kao, 2005. "Bootstrapping and hypothesis testing in non-stationary panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 313-318.
  2. Makram El-Shagi & Claus Michelsen & Sebastian Rosenschon, 2014. "Regulation, Innovation and Technology Diffusion: Evidence from Building Energy Efficiency Standards in Germany," Discussion Papers of DIW Berlin 1371, DIW Berlin, German Institute for Economic Research.
  3. Olivier Armantier, 2006. "Estimates of Own Lethal Risks and Anchoring Effects," Journal of Risk and Uncertainty, Springer, vol. 32(1), pages 37-56, January.
  4. Boswijk, H. Peter & Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2016. "Inference on co-integration parameters in heteroskedastic vector autoregressions," Journal of Econometrics, Elsevier, vol. 192(1), pages 64-85.
  5. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
  6. Cavaliere, Giuseppe & Harvey, David I. & Leybourne, Stephen J. & Taylor, A.M. Robert, 2011. "Testing For Unit Roots In The Presence Of A Possible Break In Trend And Nonstationary Volatility," Econometric Theory, Cambridge University Press, vol. 27(05), pages 957-991, October.
  7. Daiki Maki, 2015. "Wild bootstrap tests for unit root in ESTAR models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 475-490, September.
  8. Klaus Grobys, 2015. "Size distortions of the wild bootstrapped HCCME-based LM test for serial correlation in the presence of asymmetric conditional heteroskedasticity," Empirical Economics, Springer, vol. 48(3), pages 1189-1202, May.
  9. Cavaliere, Giuseppe & Nielsen, Morten Ørregaard & Taylor, A.M. Robert, 2015. "Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets," Journal of Econometrics, Elsevier, vol. 187(2), pages 557-579.
  10. El-Shagi, Makram & von Schweinitz, Gregor, 2015. "The Joint Dynamics of Sovereign Ratings and Government Bond Yields," IWH Discussion Papers 4/2015, Halle Institute for Economic Research (IWH).
  11. Daniela Osterrieder, 2013. "Interest Rates with Long Memory: A Generalized Affine Term-Structure Model," CREATES Research Papers 2013-17, Department of Economics and Business Economics, Aarhus University.
  12. Stan Hurn & Ralf Becker, 2009. "Testing for Nonlinearity in Mean in the Presence of Heteroskedasticity," Economic Analysis and Policy, Elsevier, vol. 39(2), pages 311-326, September.
  13. Dimitris Christopoulos & Miguel A. León-Ledesma, 2009. "On causal Relationships Between Exchange Rates and Fundamentals: Better Than You Think," Studies in Economics 0909, School of Economics, University of Kent.
  14. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
  15. Davidson, Russell & MacKinnon, James G., 2010. "Wild Bootstrap Tests for IV Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 128-144.
  16. Perez-Alonso, Alicia, 2007. "A bootstrap approach to test the conditional symmetry in time series models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3484-3504, April.
  17. E Fe-Rodriguez & C D Orme, 2005. "The Asymptotic Equivalence of Kernel-based Nonparametric Conditional Moment Test Statistics," The School of Economics Discussion Paper Series 0504, Economics, The University of Manchester.
  18. Favero, Carlo A. & Gozluklu, Arie E. & Tamoni, Andrea, 2011. "Demographic Trends, the Dividend-Price Ratio, and the Predictability of Long-Run Stock Market Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(05), pages 1493-1520, November.
  19. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
  20. Peter Jensen, 2010. "Testing the null of a low dimensional growth model," Empirical Economics, Springer, vol. 38(1), pages 193-215, February.
  21. Herwartz, H. & Siedenburg, F., 2008. "Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 137-150, September.
  22. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2008. "Testing for a change in persistence in the presence of non-stationary volatility," Journal of Econometrics, Elsevier, vol. 147(1), pages 84-98, November.
  23. Seong Yeon Chang & Pierre Perron, 2013. "A Comparison of Alternative Methods to Construct Confidence Intervals for the Estimate of a Break Date in Linear Regression Models," Boston University - Department of Economics - Working Papers Series wp2015-010, Boston University - Department of Economics, revised 11 Oct 2015.
  24. Arghyrou, Michael G. & Gregoriou, Andros, 2007. "Testing for Purchasing Power Parity correcting for non-normality using the wild bootstrap," Economics Letters, Elsevier, vol. 95(2), pages 285-290, May.
  25. Bataa, Erdenebat & Izzeldin, Marwan & Osborn, Denise R., 2016. "Changes in the global oil market," Energy Economics, Elsevier, vol. 56(C), pages 161-176.
  26. Seongyeon Chang & Pierre Perron, 2013. "A Comparison of Alternative Methods to Construct to Confidence Intervals for the Estimate of a Break Date in Linear Regression Models," Boston University - Department of Economics - Working Papers Series 2013-023, Boston University - Department of Economics.
  27. Cavaliere, Giuseppe & Rahbek, Anders & Taylor, A.M. Robert, 2010. "Testing for co-integration in vector autoregressions with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 158(1), pages 7-24, September.
  28. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Working Papers 1386, Queen's University, Department of Economics.
  29. Godfrey, L.G., 2006. "Tests for regression models with heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2715-2733, June.
  30. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Working Papers 1315, Queen's University, Department of Economics.
  31. Kline, Patrick & Santos, Andres, 2012. "Higher order properties of the wild bootstrap under misspecification," Journal of Econometrics, Elsevier, vol. 171(1), pages 54-70.
  32. Russell Davidson & James G. MacKinnon, 2014. "Confidence sets based on inverting Anderson–Rubin tests," Econometrics Journal, Royal Economic Society, vol. 17(2), pages 39-58, June.
  33. repec:oup:biomet:v:104:y:2017:i:3:p:699-711. is not listed on IDEAS
  34. Andrea Silvestrini, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," Empirical Economics, Springer, vol. 39(1), pages 241-274, August.
  35. Kim, Jae H. & Fraser, Iain & Hyndman, Rob J., 2011. "Improved interval estimation of long run response from a dynamic linear model: A highest density region approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2477-2489, August.
  36. Emmanuel Flachaire, 2005. "More Efficient Tests Robust to Heteroskedasticity of Unknown Form," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 219-241.
  37. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
  38. Wasel Shadat, 2011. "On the Nonparametric Tests of Univariate GARCH Regression Models," The School of Economics Discussion Paper Series 1115, Economics, The University of Manchester.
  39. Jamel Jouini, 2010. "Bootstrap methods for single structural change tests: power versus corrected size and empirical illustration," Statistical Papers, Springer, vol. 51(1), pages 85-109, January.
  40. Emmanuel Flachaire, 2000. "Les méthodes du bootstrap dans les modèles de régression," Économie et Prévision, Programme National Persée, vol. 142(1), pages 183-194.
  41. Charles, Amélie & Darné, Olivier, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
  42. Maki, Daiki, 2015. "Wild bootstrap testing for cointegration in an ESTAR error correction model," Economic Modelling, Elsevier, vol. 47(C), pages 292-298.
  43. Marshall, Andrew & Tang, Leilei, 2011. "Assessing the impact of heteroskedasticity for evaluating hedge fund performance," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 12-19, January.
  44. James G. MacKinnon & Matthew D. Webb, 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Working Papers 1387, Queen's University, Department of Economics.
  45. repec:eee:reveco:v:51:y:2017:i:c:p:283-294 is not listed on IDEAS
  46. Lamarche, Jean-Francois, 2003. "A robust bootstrap test under heteroskedasticity," Economics Letters, Elsevier, vol. 79(3), pages 353-359, June.
  47. Kuan-Pin Lin & Zhi-He Long & Bianling Ou, 2011. "The Size and Power of Bootstrap Tests for Spatial Dependence in a Linear Regression Model," Computational Economics, Springer;Society for Computational Economics, vol. 38(2), pages 153-171, August.
  48. Emmanuel Flachaire, 2005. "Propriétés en échantillon fini des tests robustes à l'hétéroscédasticité de forme inconnue," Annals of Economics and Statistics, GENES, issue 77, pages 187-199.
  49. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.
  50. Zhenlin Yang, 2013. "LM Tests of Spatial Dependence Based on Bootstrap Critical Values," Working Papers 03-2013, Singapore Management University, School of Economics.
  51. James G. MacKinnon & Matthew D. Webb, 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Working Papers 1314, Queen's University, Department of Economics.
  52. Helmut Herwartz & Florian Siedenburg, 2013. "To converge or not converge: unit labor cost inflation in the Euro area," Empirical Economics, Springer, vol. 44(2), pages 455-467, April.
  53. Russell Davidson & James G. MacKinnon, 2015. "Bootstrap Tests for Overidentification in Linear Regression Models," Econometrics, MDPI, Open Access Journal, vol. 3(4), pages 1-39, December.
  54. Pfaff, Tobias & Hirata, Johannes, 2013. "Testing the Easterlin hypothesis with panel data: The dynamic relationship between life satisfaction and economic growth in Germany and in the UK," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79965, Verein für Socialpolitik / German Economic Association.
  55. Michelsen, Claus & El-Shagi, Makram & Rosenschon, Sebastian, 2016. "The diffusion of "green'' buildings in the housing market: empirics on the long run effects of energy efficiency regulation," Annual Conference 2016 (Augsburg): Demographic Change 145534, Verein für Socialpolitik / German Economic Association.
  56. Torben Klarl, 2014. "Is Spatial Bootstrapping A Panacea For Valid Inference?," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 304-312, 03.
  57. Bakshi, Gurdip & Madan, Dilip & Panayotov, George, 2010. "Returns of claims on the upside and the viability of U-shaped pricing kernels," Journal of Financial Economics, Elsevier, vol. 97(1), pages 130-154, July.
  58. Badi Baltagi & Chihwa Kao & Sanggon Na, 2013. "Testing for cross-sectional dependence in a panel factor model using the wild bootstrap $$F$$ test," Statistical Papers, Springer, vol. 54(4), pages 1067-1094, November.
  59. repec:eee:econom:v:198:y:2017:i:2:p:209-230 is not listed on IDEAS
  60. repec:eee:csdana:v:113:y:2017:i:c:p:38-52 is not listed on IDEAS
  61. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel Pownall, 2014. "Empirical Evidence of Anchoring and Loss Aversion from Art Auctions," Working Papers 73, Brandeis University, Department of Economics and International Businesss School, revised Apr 2015.
  62. Su, Jen-Je & Cheung, Adrian (Wai-Kong) & Roca, Eduardo, 2012. "Are securitised real estate markets efficient?," Economic Modelling, Elsevier, vol. 29(3), pages 684-690.
  63. Sabiwalsky, Ralf, 2010. "Nonlinear modelling of target leverage with latent determinant variables -- new evidence on the trade-off theory," Review of Financial Economics, Elsevier, vol. 19(4), pages 137-150, October.
  64. E. Fe-Rodríguez & C. Orme, 2006. "On the sensitivity of Kernel-based Conditional Moment Tests to Unconsidered Local Alternatives," The School of Economics Discussion Paper Series 0606, Economics, The University of Manchester.
  65. Bose, Niloy & Capasso, Salvatore & Murshid, Antu Panini, 2008. "Threshold Effects of Corruption: Theory and Evidence," World Development, Elsevier, vol. 36(7), pages 1173-1191, July.
  66. repec:eee:ecolet:v:159:y:2017:i:c:p:28-32 is not listed on IDEAS
  67. Friedrich, Marina & Smeekes, Stephan & Urbain, Jean-Pierre, 2017. "Autoregressive Wild Bootstrap Inference for Nonparametric Trends," Research Memorandum 010, Maastricht University, Graduate School of Business and Economics (GSBE).
  68. Deschepper, E. & Thas, O. & Ottoy, J.P., 2006. "Regional residual plots for assessing the fit of linear regression models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 1995-2013, April.
  69. Stefan Sperlich, 2014. "On the choice of regularization parameters in specification testing: a critical discussion," Empirical Economics, Springer, vol. 47(2), pages 427-450, September.
  70. Herwartz, H. & Xu, F., 2009. "A new approach to bootstrap inference in functional coefficient models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2155-2167, April.
  71. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.
  72. Iglesias Emma M, 2009. "Finite Sample Theory of QMLEs in ARCH Models with an Exogenous Variable in the Conditional Variance Equation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
  73. Russell Davidson & James G. MacKinnon, 2014. "Bootstrap Confidence Sets with Weak Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 651-675, August.
  74. Chris D. Orme & Takashi Yamagata, 2014. "A Heteroskedasticity-Robust F -Test Statistic for Individual Effects," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 431-471, August.
  75. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
  76. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A J Pownall, 2014. "Anchoring or Loss Aversion? Empirical Evidence from Art Auctions," ACEI Working Paper Series AWP-04-2014, Association for Cultural Economics International, revised Jun 2014.
  77. repec:wsi:serxxx:v:62:y:2017:i:02:n:s0217590815500496 is not listed on IDEAS
  78. Lee, Taewook, 2016. "Wild bootstrap Ljung–Box test for cross correlations of multivariate time series," Economics Letters, Elsevier, vol. 147(C), pages 59-62.
  79. José Murteira & Esmeralda Ramalho & Joaquim Ramalho, 2013. "Heteroskedasticity testing through a comparison of Wald statistics," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 12(2), pages 131-160, August.
  80. Jorge Belaire-Franch & Kwaku Opong, 2013. "A Time Series Analysis of U.K. Construction and Real Estate Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 516-542, April.
  81. Smeekes S. & Urbain J.R.Y.J., 2014. "A multivariate invariance principle for modified wild bootstrap methods with an application to unit root testing," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).
  82. Jinook Jeong & Byunguk Kang, 2012. "Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1531-1542, January.
  83. Halunga, Andreea G. & Orme, Chris D. & Yamagata, Takashi, 2017. "A heteroskedasticity robust Breusch–Pagan test for Contemporaneous correlation in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 198(2), pages 209-230.
  84. O'Reilly, Gerard & Whelan, Karl, 2005. "Testing Parameter Stability: A Wild Bootstrap Approach," Research Technical Papers 8/RT/05, Central Bank of Ireland.
  85. Soo-Bin Jeong & Bong-Hwan Kim & Tae-Hwan Kim & Hyung-Ho Moon, 2017. "Unit Root Tests In The Presence Of Multiple Breaks In Variance," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 345-361, June.
  86. Sikes, Stephanie A. & Tian, Xiaoli (Shaolee) & Wilson, Ryan, 2014. "Investors׳ reaction to the use of poison pills as a tax loss preservation tool," Journal of Accounting and Economics, Elsevier, vol. 57(2), pages 132-148.
  87. Andrea Monticini & David Peel, 2009. "Testing for central bank independence and inflation using the wild bootstrap," Economics Bulletin, AccessEcon, vol. 29(3), pages 1602-1607.
  88. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, 09.
  89. José Murteira & Esmeralda Ramalho & Joaquim Ramalho, 2011. "Heteroskedasticity Testing Through Comparison of Wald-Type Statistics," GEMF Working Papers 2011-05, GEMF, Faculty of Economics, University of Coimbra.
  90. Ioannidis, C. & Peel, D.A., 2005. "Testing for market efficiency in gambling markets when the errors are non-normal and heteroskedastic an application of the wild bootstrap," Economics Letters, Elsevier, vol. 87(2), pages 221-226, May.
  91. Flachaire, Emmanuel, 2005. "Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 361-376, April.
  92. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
  93. Tobias Pfaff & Johannes Hirata, 2013. "Testing the Easterlin Hypothesis with Panel Data: The Dynamic Relationship between Life Satisfaction and Economic Growth in Germany and the UK," SOEPpapers on Multidisciplinary Panel Data Research 554, DIW Berlin, The German Socio-Economic Panel (SOEP).
  94. Osbat, Chiara & Corbo, Vesna, 2012. "Optimism bias? The elasticity puzzle in international economics revisited," Working Paper Series 1482, European Central Bank.
  95. Stefan Sperlich, 2013. "Comments on: An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 419-427, September.
  96. Bordignon, Massimo & Monticini, Andrea, 2012. "The importance of the electoral rule: Evidence from Italy," Economics Letters, Elsevier, vol. 117(1), pages 322-325.
  97. Konstantinos Chatzimichael & Dimitris Christopoulos & Spyro Stefanou & Vangelis Tzouvelekas, 2015. "Irrigation Technology Adoption, Water Effectiveness and Productivity Measurement," Working Papers 1506, University of Crete, Department of Economics.
  98. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
  99. repec:eee:finlet:v:21:y:2017:i:c:p:186-189 is not listed on IDEAS
  100. 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.
  101. Jorge Belaire-Franch & Kwaku Opong, 2005. "A Variance Ratio Test of the Behaviour of Some FTSE Equity Indices Using Ranks and Signs," Review of Quantitative Finance and Accounting, Springer, vol. 24(1), pages 93-107, January.
  102. Taisuke Otsu & Yoshiyasu Rai, 2015. "Bootstrap inference of matching estimators for average treatment effects," STICERD - Econometrics Paper Series /2015/580, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  103. Ivan Paya & David A. Peel, 2005. "A New Analysis Of The Determinants Of The Real Dollar-Sterling Exchange Rate: 1871-1994," Working Papers. Serie AD 2005-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  104. Davidson, James & Monticini, Andrea & Peel, David, 2007. "Implementing the wild bootstrap using a two-point distribution," Economics Letters, Elsevier, vol. 96(3), pages 309-315, September.
  105. James G. MacKinnon, 2007. "Bootstrap Hypothesis Testing," Working Papers 1127, Queen's University, Department of Economics.
  106. Wikstrom, Daniel & Peeters, Ludo & Surry, Yves R., 2011. "Semiparametric Cost Allocation Estimation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115742, European Association of Agricultural Economists.
  107. Massimo Bordignon & Andrea Monticini, 2011. "The importance of electoral rule: Evidence from Italy," DISCE - Quaderni dell'Istituto di Economia e Finanza ief0099, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  108. Paya, Ivan & Peel, David A., 2006. "On the speed of adjustment in ESTAR models when allowance is made for bias in estimation," Economics Letters, Elsevier, vol. 90(2), pages 272-277, February.
  109. Adrian Pagan & Hashem Pesaran, 2007. "Econometric Analysis of Structural Systems with Permanent and Transitory Shocks. Working paper #7," NCER Working Paper Series 7, National Centre for Econometric Research.
  110. Antoine Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2017. "Validity of Wild Bootstrap Inference with Clustered Errors," Working Papers 1383, Queen's University, Department of Economics.
  111. Konstantinos Chatzimichael & Dimitris Christopoulos & Spiro Stefanou & Vangelis Tzouvelekas, 2017. "Irrigation Practices, Water Effectiveness and Productivity Measurement," Working Papers 1702, University of Crete, Department of Economics.
  112. Godfrey, Leslie G. & Orme, Chris D., 2004. "Controlling the finite sample significance levels of heteroskedasticity-robust tests of several linear restrictions on regression coefficients," Economics Letters, Elsevier, vol. 82(2), pages 281-287, February.
  113. Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2009. "Co-integration rank tests under conditional heteroskedasticity," Discussion Papers 09/02, University of Nottingham, Granger Centre for Time Series Econometrics.
  114. Yang, Zhenlin, 2015. "LM tests of spatial dependence based on bootstrap critical values," Journal of Econometrics, Elsevier, vol. 185(1), pages 33-59.
  115. Pfaff, Tobias & Hirata, Johannes, 2013. "Testing the Easterlin hypothesis with panel data: The dynamic relationship between life satisfaction and economic growth in Germany and in the UK," CIW Discussion Papers 4/2013, University of Münster, Center for Interdisciplinary Economics (CIW).
  116. repec:spr:stpapr:v:58:y:2017:i:4:d:10.1007_s00362-016-0744-0 is not listed on IDEAS
  117. Kenneth W. Clements & H.Y Izan & Yihui Lan, 2005. "A Stochastic Measure of International Competitiveness," Economics Discussion / Working Papers 05-15, The University of Western Australia, Department of Economics.
  118. Maximilian Podstawski & Anton Velinov, 2016. "The State Dependent Impact of Bank Exposure on Sovereign Risk," Discussion Papers of DIW Berlin 1550, DIW Berlin, German Institute for Economic Research.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.