IDEAS home Printed from https://ideas.repec.org/e/c/psm85.html
   My authors  Follow this author

Jeremy Smith

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Otero, Jesus & Smith, Jeremy, 2000. "Testing for cointegration: power versus frequency of observation -- further Monte Carlo results," Economics Letters, Elsevier, vol. 67(1), pages 5-9, April.

    Mentioned in:

    1. Troll e produttività: Minosse vs Daveri (e Travaglini)
      by Alberto Bagnai in Goofynomics on 2014-04-06 15:19:00
  2. McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2007. "Sheer Class? Returns to educational performance : evidence from UK graduates first destination labour market outcomes," The Warwick Economics Research Paper Series (TWERPS) 786, University of Warwick, Department of Economics.

    Mentioned in:

    1. "Contacts, contacts, contacts"
      by chris dillow in Stumbling and Mumbling on 2008-01-29 18:44:52
  3. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2007. "Different returns to different degrees? Evidence from the British Cohort Study 1970," The Warwick Economics Research Paper Series (TWERPS) 783, University of Warwick, Department of Economics.

    Mentioned in:

    1. Trash research from Universities UK
      by chris dillow in Stumbling and Mumbling on 2007-02-07 19:12:07
    2. Gove vs Cowell: an old dilemma
      by chris dillow in Stumbling and Mumbling on 2013-11-16 17:05:30
  4. Massimiliano BRATTI & Robin NAYLOR & Jeremy SMITH, 2008. "Heterogeneities in the returns to degrees: evidence from the British cohort study 1970," Departmental Working Papers 2008-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    Mentioned in:

    1. The tuition fees debate: a debt-for-equity suggestion
      by Ronan Lyons in Ronan Lyons on 2011-06-14 11:00:38

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-141, March-Apr.

    Mentioned in:

    1. A Monte Carlo study of the forecasting performance of empirical SETAR models (Journal of Applied Econometrics 1999) in ReplicationWiki ()

Working papers

  1. Crawford, Gregory S. & Deer, Lachlan & Smith, Jeremy & Sturgeon, Paul, 2017. "The Regulation of Public Service Broadcasters : Should there be more advertising on television?," Economic Research Papers 269092, University of Warwick - Department of Economics.

    Cited by:

    1. Anna Kerkhof & Johannes Münster, 2023. "Strategic Complementarities in a Model of Commercial Media Bias," CESifo Working Paper Series 10738, CESifo.
    2. Dubois, Pierre & Abi Rafeh, Rossi & Griffith, Rachel & O'Connell, Martin, 2023. "The Effects of Sin Taxes and Advertising Restrictions in a Dynamic Equilibrium," TSE Working Papers 23-1480, Toulouse School of Economics (TSE), revised Feb 2024.
    3. Anna Kerkhof & Johannes Münster, 2023. "Strategic Complementarities in a Model of Commercial Media Bias," ECONtribute Discussion Papers Series 261, University of Bonn and University of Cologne, Germany.

  2. Robin Naylor & Jeremy Smith & Shqiponja Telhaj, 2015. "Graduate Returns, Degree Class Premia and Higher Education Expansion in the UK," CEP Discussion Papers dp1392, Centre for Economic Performance, LSE.

    Cited by:

    1. Baert, Stijn & Verhaest, Dieter, 2018. "Work Hard or Play Hard? Degree Class, Student Leadership and Employment Opportunities," IZA Discussion Papers 11971, Institute of Labor Economics (IZA).
    2. Kara, Elif & Tonin, Mirco & Vlassopoulos, Michael, 2021. "Class size effects in higher education: Differences across STEM and non-STEM fields," Economics of Education Review, Elsevier, vol. 82(C).
    3. Richard Blundell & David A. Green & Wenchao (Michelle) Jin, 2016. "The UK wage premium puzzle: how did a large increase in university graduates leave the education premium unchanged?," IFS Working Papers W16/01, Institute for Fiscal Studies.
    4. Judith M. Delaney & Paul J. Devereux, 2020. "How Gender and Prior Disadvantage Predict Performance in College," The Economic and Social Review, Economic and Social Studies, vol. 51(2), pages 189-239.
    5. Oliver Anderson, 2022. "Walking the line: Does crossing a high stakes exam threshold matter for labour market outcomes?," CEPEO Working Paper Series 22-05, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2022.
    6. Jacek Liwiński & Emilia Bedyk, 2016. "Does it pay to invest in the education of children?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    7. George Agiomirgianakis & Theodore Lianos & Nicholas Tsounis, 2019. "Returns to Investment in Distance Learning: the Case of Greece," International Business Research, Canadian Center of Science and Education, vol. 12(3), pages 94-100, March.
    8. Benny, Liza & Bhalotra, Sonia & Fernández, Manuel, 2021. "Occupation flexibility and the graduate gender wage gap in the UK," ISER Working Paper Series 2021-05, Institute for Social and Economic Research.
    9. Minaya, Veronica & Agasisti, Tommaso & Bratti, Massimiliano, 2022. "When need meets merit: The effect of increasing merit requirements in need-based student aid," European Economic Review, Elsevier, vol. 146(C).
    10. Oliver Anderson, 2023. "Walking the line: Does crossing a high-stakes exam threshold matter for labor market outcomes?," French Stata Users' Group Meetings 2023 01, Stata Users Group.
    11. Atay, Salim & Asik, Gunes A. & Tumen, Semih, 2023. "Impact of Graduating with Honors on Entry Wages of Economics Majors," IZA Discussion Papers 16080, Institute of Labor Economics (IZA).
    12. Del Bono, Emilia & Fumagalli, Laura & Holford, Angus & Rabe, Birgitta, 2022. "University access: the role of background and COVID-19 throughout the application process," ISER Working Paper Series 2022-07, Institute for Social and Economic Research.
    13. Huang, Bin & Xu, Lei & Zhu, Yu, 2019. "Does the higher education expansion in the UK reduce the returns to education? A comparison of returning-from-work versus fresh out-of-school graduates," Economic Modelling, Elsevier, vol. 79(C), pages 276-285.
    14. Emilia Bedyk & Jacek Liwiński, 2016. "The wage premium from parents’ investments in the education of their children in Poland," Working Papers 2016-14, Faculty of Economic Sciences, University of Warsaw.

  3. Naylor, Robin A. & Smith, Jeremy, 2009. "Ability Bias, Skewness and the College Wage Premium," Economic Research Papers 271293, University of Warwick - Department of Economics.

    Cited by:

    1. Francesc Obiols-Homs & Virginia Sánchez-Marcos, 2015. "Education, Occupation-Mismatch and Unemployment," Working Papers 807, Barcelona School of Economics.

  4. Ireland, Norman & Naylor, Robin A. & Smith, Jeremy & Telhaj, Shqiponja, 2009. "Educational Returns, ability composition and cohort effects: theory and evidence for cohorts of early-career UK graduates," Economic Research Papers 271294, University of Warwick - Department of Economics.

    Cited by:

    1. Feng, Andy & Graetz, Georg, 2013. "A question of degree: the effects of degree class on labor market outcomes," LSE Research Online Documents on Economics 51562, London School of Economics and Political Science, LSE Library.
    2. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The Earnings Returns to Graduating with Honors: Evidence from Law Graduates," IZA Discussion Papers 8825, Institute of Labor Economics (IZA).
    3. Di Pietro, Giorgio, 2010. "The Impact of Degree Class on the First Destinations of Graduates: A Regression Discontinuity Approach," IZA Discussion Papers 4836, Institute of Labor Economics (IZA).
    4. Sergey Roshchin & Victor Rudakov, 2015. "Do Starting Salaries for Graduates Measure the Quality of Education? A Review of Studies by Russian and Foreign Authors," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 137-181.
    5. Boero, Gianna & Nathwani, Tej & Naylor, Robin & Smith, Jeremy, 2021. "Graduate Earnings Premia in the UK : Decline and Fall?," The Warwick Economics Research Paper Series (TWERPS) 1387, University of Warwick, Department of Economics.

  5. Naylor, Robin A. & Smith, Jeremy, 2009. "Ability Bias, Skewness and the College Wage Premium," The Warwick Economics Research Paper Series (TWERPS) 907, University of Warwick, Department of Economics.

    Cited by:

    1. Francesc Obiols-Homs & Virginia Sánchez-Marcos, 2015. "Education, Occupation-Mismatch and Unemployment," Working Papers 807, Barcelona School of Economics.

  6. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2008. "Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence," Economic Research Papers 269863, University of Warwick - Department of Economics.

    Cited by:

    1. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.

  7. Massimiliano BRATTI & Robin NAYLOR & Jeremy SMITH, 2008. "Heterogeneities in the returns to degrees: evidence from the British cohort study 1970," Departmental Working Papers 2008-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    Cited by:

    1. Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
    2. Di Paolo, Antonio & Tansel, Aysit, 2017. "Analyzing Wage Differentials by Fields of Study: Evidence from Turkey," IZA Discussion Papers 10915, Institute of Labor Economics (IZA).
    3. Claire Crawford, 2014. "Socio-economic differences in university outcomes in the UK: drop-out, degree completion and degree class," IFS Working Papers W14/31, Institute for Fiscal Studies.
    4. Chris Belfield & Laura van der Erve, 2018. "The impact of higher education on the living standards of female graduates," IFS Working Papers W18/25, Institute for Fiscal Studies.
    5. Ilias Livanos & Konstantinos Pouliakas, 2011. "Wage returns to university disciplines in Greece: are Greek higher education degrees Trojan Horses?," Education Economics, Taylor & Francis Journals, vol. 19(4), pages 411-445, December.
    6. Massimiliano Bratti & Alfonso Miranda, 2010. "Non‐pecuniary returns to higher education: the effect on smoking intensity in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 906-920, August.
    7. Kevin Denny & Orla Doyle & Patricia O'Reilly & Vincent O'Sullivan, 2010. "Money, mentoring and making friends : the impact of a multidimensional access program on student performance," Working Papers 201011, School of Economics, University College Dublin.
    8. Ireland, Norman & Naylor, Robin A. & Smith, Jeremy & Telhaj, Shqiponja, 2009. "Educational Returns, ability composition and cohort effects : theory and evidence for cohorts of early-career UK graduates," The Warwick Economics Research Paper Series (TWERPS) 906, University of Warwick, Department of Economics.
    9. Elizabeth Knight, 2019. "Massification, Marketisation and Loss of Differentiation in Pre-Entry Marketing Materials in UK Higher Education," Social Sciences, MDPI, vol. 8(11), pages 1-17, October.
    10. Claire Crawford & Anna Vignoles, 2014. "Heterogeneity in graduate earnings by socio-economic background," IFS Working Papers W14/30, Institute for Fiscal Studies.
    11. Naylor, Robin A. & Smith, Jeremy, 2009. "Ability Bias, Skewness and the College Wage Premium," Economic Research Papers 271293, University of Warwick - Department of Economics.
    12. Jake Anders, 2012. "Using the Longitudinal Study of Young People in England for research into Higher Education access," DoQSS Working Papers 12-13, Quantitative Social Science - UCL Social Research Institute, University College London.
    13. Leszek Wincenciak, 2016. "Educational mismatches and earnings in Poland: are graduates penalised for being overeducated?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 46.
    14. Naylor, Robin A. & Smith, Jeremy, 2009. "Ability Bias, Skewness and the College Wage Premium," The Warwick Economics Research Paper Series (TWERPS) 907, University of Warwick, Department of Economics.

  8. Giulietti, Monica & Otero, Jesus & Smith, Jeremy, 2007. "Testing for seasonal unit roots in heterogeneous panels in the presence of cross section dependence," The Warwick Economics Research Paper Series (TWERPS) 784, University of Warwick, Department of Economics.

    Cited by:

    1. Kunst, R.M. & Franses, Ph.H.B.F., 2009. "Testing for seasonal unit roots in monthly panels of time series," Econometric Institute Research Papers EI 2009-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2008. "Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence," Economic Research Papers 269863, University of Warwick - Department of Economics.
    3. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.

  9. McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2007. "Sheer Class? Returns to educational performance : evidence from UK graduates first destination labour market outcomes," The Warwick Economics Research Paper Series (TWERPS) 786, University of Warwick, Department of Economics.

    Cited by:

    1. Feng, Andy & Graetz, Georg, 2013. "A question of degree: the effects of degree class on labor market outcomes," LSE Research Online Documents on Economics 51562, London School of Economics and Political Science, LSE Library.
    2. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The Earnings Returns to Graduating with Honors: Evidence from Law Graduates," IZA Discussion Papers 8825, Institute of Labor Economics (IZA).
    3. Flannery, Darragh & O’Donoghue, Cathal, 2013. "The demand for higher education: A static structural approach accounting for individual heterogeneity and nesting patterns," Economics of Education Review, Elsevier, vol. 34(C), pages 243-257.
    4. Peter Davies & Guy Durden, 2010. "Economic Education in Schools and Universities in England," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(4), pages 413-424, September.
    5. Jake Anders, 2015. "Does socioeconomic background affect pay growth among early entrants to high-status jobs?," National Institute of Economic and Social Research (NIESR) Discussion Papers 453, National Institute of Economic and Social Research.

  10. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy, 2007. "Am I missing something? The effects of absence from class on student performance," Economic Research Papers 269769, University of Warwick - Department of Economics.

    Cited by:

    1. Cuffe, Harold E. & Waddell, Glen R. & Bignell, Wesley, 2014. "Too Busy for School? The Effect of Athletic Participation on Absenteeism," IZA Discussion Papers 8426, Institute of Labor Economics (IZA).
    2. Delaney, Liam & Harmon, Colm & Ryan, Martin, 2013. "The role of noncognitive traits in undergraduate study behaviours," Economics of Education Review, Elsevier, vol. 32(C), pages 181-195.
    3. Alexei G. Orlov & John Roufagalas, 2012. "Performance Determinants in Undergraduate Economics Classes: The Effect of Cognitive Reflection," International Review of Economic Education, Economics Network, University of Bristol, vol. 11(2), pages 28-45.
    4. Liu, Jing & Lee, Monica & Gershenson, Seth, 2019. "The Short- and Long-Run Impacts of Secondary School Absences," IZA Discussion Papers 12613, Institute of Labor Economics (IZA).
    5. Alessia Matano & Paolo Naticchioni, 2009. "Wage distribution and the spatial sorting of workers and firms," Working Papers - Dipartimento di Economia 8-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    6. Brownback, Andy, 2018. "A classroom experiment on effort allocation under relative grading," Economics of Education Review, Elsevier, vol. 62(C), pages 113-128.
    7. Aucejo, Esteban M. & Romano, Teresa Foy, 2016. "Assessing the effect of school days and absences on test score performance," LSE Research Online Documents on Economics 68655, London School of Economics and Political Science, LSE Library.
    8. Chang Da Wan & Roland K. Cheo, 2012. "Determinants of Malaysian and Singaporean Economics Undergraduates' Academic Performance," International Review of Economic Education, Economics Network, University of Bristol, vol. 11(2), pages 7-27.
    9. Middleditch, Paul & Moindrot, Will & Rudkin, Simon, 2022. "Teaching with Twitter: An extension to the traditional learning environment," International Review of Economics Education, Elsevier, vol. 41(C).
    10. Tobias Wolbring, 2012. "Class Attendance and Students’ Evaluations of Teaching," Evaluation Review, , vol. 36(1), pages 72-96, February.
    11. Aucejo, Esteban M. & Romano, Teresa Foy, 2016. "Assessing the effect of school days and absences on test score performance," Economics of Education Review, Elsevier, vol. 55(C), pages 70-87.

  11. Giulietti, Monica & Otero, Jesus & Smith, Jeremy, 2006. "Testing for stationarity in heterogeneous panel data in the presence of cross section dependence," Economic Research Papers 269651, University of Warwick - Department of Economics.

    Cited by:

    1. Luisanna Onnis & Patrizio Tirelli, 2010. "Challenging the popular wisdom. New estimates of the unobserved economy," Working Papers 184, University of Milano-Bicocca, Department of Economics, revised Apr 2010.
    2. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2009. "Are Eu Budget Deficits Stationary?," Working Paper series 17_09, Rimini Centre for Economic Analysis.
    3. Mark J. Holmes & Theodore Panagiotidis & Jesus Otero, 2009. "On the stationarity of current account deficits in the European Union," Discussion Paper Series 2009_18, Department of Economics, University of Macedonia, revised Dec 2009.
    4. Giulietti, Monica & Otero, Jesus & Waterson, Michael, 2007. "Pricing behaviour under competition in the UK electricity supply industry," The Warwick Economics Research Paper Series (TWERPS) 790, University of Warwick, Department of Economics.
    5. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2011. "PPP in OECD Countries: An Analysis of Real Exchange Rate Stationarity, cross-Sectional Dependency and Structural Breaks," Working Paper series 51_11, Rimini Centre for Economic Analysis.
    6. Iregui, Ana María & Otero, Jesús, 2013. "The long-run behaviour of the terms of trade between primary commodities and manufactures: A panel data approach," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158682, Agricultural Economics Society.
    7. Ana Iregui & Jesús Otero, 2011. "Testing the law of one price in food markets: evidence for Colombia using disaggregated data," Empirical Economics, Springer, vol. 40(2), pages 269-284, April.
    8. Helmut Herwartz & Yabibal M. Walle, 2018. "A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility," Computational Statistics, Springer, vol. 33(1), pages 379-411, March.

  12. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2006. "Different returns to different degrees? Evidence from the British Cohort Study 1970," Economic Research Papers 269754, University of Warwick - Department of Economics.

    Cited by:

    1. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The Earnings Returns to Graduating with Honors: Evidence from Law Graduates," IZA Discussion Papers 8825, Institute of Labor Economics (IZA).
    2. Pamela Lenton, 2016. "Staying-on after twenty-one: the returns to postgraduate education," Working Papers 2016004, The University of Sheffield, Department of Economics.

  13. Giulietti, Monica & Otero, Jesus & Smith, Jeremy, 2006. "Testing for unit roots in three-dimensional heterogeneous panels in the presence of cross-sectional dependence," Economic Research Papers 269741, University of Warwick - Department of Economics.

    Cited by:

    1. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "Modelling the behaviour of unemployment rates in the US over time and across space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5711-5722.
    2. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.
    3. Skrobotov, Anton (Скроботов, Антон) & Turuntseva, Marina (Турунцева, Марина), 2017. "Testing the Hypothesis of a Unit Root for Independent Panels [Тестирование Гипотезы О Наличии Единичного Корня Для Независимых Панелей]," Working Papers 021707, Russian Presidential Academy of National Economy and Public Administration.

  14. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2006. "Uncertainty and disagreement in economic prediction: the Bank of England Survey of External Forecasters," Economic Research Papers 269751, University of Warwick - Department of Economics.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    3. Timur Hulagu & Saygin Sahinoz, 2012. "Is Disagreement a Good Proxy for Inflation Uncertainty? Evidence from Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 12(1), pages 53-62.
    4. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    5. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    6. Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
    7. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Smietanka, Pawel & Bloom, Nicholas & Mizen, Paul, 2018. "Business investment, cash holding and uncertainty since the Great Financial Crisis," Bank of England working papers 753, Bank of England.
    9. Joseph E. Gagnon, 1997. "Inflation regimes and inflation expectations," International Finance Discussion Papers 581, Board of Governors of the Federal Reserve System (U.S.).
    10. Ganwen Zheng & Songping Zhu, 2021. "Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    11. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," Working Papers hal-04141344, HAL.
    12. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    13. Klodiana Istrefi & Sarah Mouabbi, 2017. "Subjective interest rate uncertainty and the macroeconomy : a cross-country analysis," Rue de la Banque, Banque de France, issue 48, september.
    14. Paul Söderlind, 2011. "Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 113-133, June.
    15. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    16. Richhild Moessner & Feng Zhu & Colin Ellis, 2011. "Measuring disagreement in UK consumer and central bank inflation forecasts," BIS Working Papers 339, Bank for International Settlements.
    17. Schultefrankenfeld Guido, 2013. "Forecast uncertainty and the Bank of England’s interest rate decisions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 1-20, February.
    18. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    19. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    20. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    21. Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
    22. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2020. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Working Papers 688, DNB.
    23. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    24. Meredith J. Beechey, 2008. "Lowering the anchor: how the Bank of England's inflation-targeting policies have shaped inflation expectations and perceptions of inflation risk," Finance and Economics Discussion Series 2008-44, Board of Governors of the Federal Reserve System (U.S.).
    25. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    26. Sébastien Fries & Jean‐Stéphane Mésonnier & Sarah Mouabbi & Jean‐Paul Renne, 2018. "National natural rates of interest and the single monetary policy in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 763-779, September.
    27. Maxime Phillot & Dr. Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.
    28. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    29. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    30. Montes, Gabriel Caldas & Nicolay, Rodolfo Tomás da Fonseca & Acar, Tatiana, 2019. "Do fiscal communication and clarity of fiscal announcements affect public debt uncertainty? Evidence from Brazil," Journal of Economics and Business, Elsevier, vol. 103(C), pages 38-60.
    31. Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
    32. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2014. "Inflation uncertainty revisited: a proposal for robust measurement," Empirical Economics, Springer, vol. 47(4), pages 1497-1523, December.
    33. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.
    34. Gauvin, Ludovic & McLoughlin, Cameron & Reinhardt, Dennis, 2014. "Policy uncertainty spillovers to emerging markets – evidence from capital flows," Bank of England working papers 512, Bank of England.
    35. Philippe Andrade & Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2013. "Fundamental disagreement," Staff Reports 655, Federal Reserve Bank of New York.
    36. Maritta Paloviita & Matti Viren, 2014. "Inflation and output growth uncertainty in individual survey expectations," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 69-81, February.
    37. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    38. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145888, Verein für Socialpolitik / German Economic Association.
    39. Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021. "Does judgment improve macroeconomic density forecasts?," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1247-1260.
    40. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    41. Esady, Vania, 2022. "Real and nominal effects of monetary shocks under time-varying disagreement," Bank of England working papers 1007, Bank of England.
    42. David Iselin & Andreas Dibiasi, 2019. "Measuring Knightian Uncertainty," KOF Working papers 19-456, KOF Swiss Economic Institute, ETH Zurich.
    43. Manzanares, Andrés & Garcí­a, Juan Angel, 2007. "Reporting biases and survey results: evidence from European professional forecasters," Working Paper Series 836, European Central Bank.
    44. Liu, Yang & Sheng, Xuguang Simon, 2019. "The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 967-979.
    45. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    46. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    47. Montes, Gabriel Caldas & Luna, Paulo Henrique, 2018. "Discretionary fiscal policy and disagreement in expectations about fiscal variables empirical evidence from Brazil," Economic Modelling, Elsevier, vol. 73(C), pages 100-116.
    48. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    49. Andrade, P. & Ghysels, E. & Idier, J., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    50. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    51. Kang, Wensheng & Lee, Kiseok & Ratti, Ronald A., 2014. "Economic policy uncertainty and firm-level investment," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 42-53.
    52. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    53. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    54. Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
    55. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    56. Montes, Gabriel Caldas & Acar, Tatiana, 2020. "Fiscal credibility, target revisions and disagreement in expectations about fiscal results," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 38-58.
    57. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    58. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Other publications TiSEM 38fac5ce-fe8f-4b61-a679-f, Tilburg University, School of Economics and Management.
    59. Joshua C C Chan & Yong Song, 2017. "Measuring inflation expectations uncertainty using high-frequency data," CAMA Working Papers 2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    60. Casey, Eddie, 2020. "Do macroeconomic forecasters use macroeconomics to forecast?," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1439-1453.
    61. Adra, Samer & Barbopoulos, Leonidas G. & Saunders, Anthony, 2020. "The impact of monetary policy on M&A outcomes," Journal of Corporate Finance, Elsevier, vol. 62(C).
    62. Carola Conces Binder, 2021. "Central Bank Communication and Disagreement about the Natural Rate Hypothesis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 81-123, June.
    63. Macallan, Clare & Taylor, Tim & O'Grady, Tom, 2011. "Assessing the risk to inflation from inflation expectations," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 100-110.
    64. Mario Canales & Bernabe Lopez-Martin, 2021. "Uncertainty, Risk, and Price-Setting: Evidence from CPI Microdata," Working Papers Central Bank of Chile 908, Central Bank of Chile.
    65. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans," KOF Working papers 16-406, KOF Swiss Economic Institute, ETH Zurich.
    66. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.
    67. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    68. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
    69. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    70. Levenko, Natalia, 2020. "Rounding bias in forecast uncertainty," Research in Economics, Elsevier, vol. 74(4), pages 277-291.
    71. Richard K. Crump & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2021. "The Term Structure of Expectations," Staff Reports 992, Federal Reserve Bank of New York.
    72. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    73. Nikos Apokoritis & Gabriele Galati & Richhild Moessner & Federica Teppa, 2019. "Inflation expectations anchoring: new insights from micro evidence of a survey at high-frequency and of distributions," BIS Working Papers 809, Bank for International Settlements.
    74. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    75. Marfatia, Hardik A., 2014. "Impact of uncertainty on high frequency response of the U.S. stock markets to the Fed's policy surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 382-392.
    76. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    77. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    78. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    79. Keith Sill, 2012. "Measuring economic uncertainty using the Survey of Professional Forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Q4, pages 16-27.
    80. Stefano Eusepi & Richard Crump & Emanuel Moench & Philippe Andrade, 2014. "Noisy Information and Fundamental Disagreement," 2014 Meeting Papers 797, Society for Economic Dynamics.
    81. Morikawa, Masayuki, 2016. "Business uncertainty and investment: Evidence from Japanese companies," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 224-236.
    82. MORIKAWA Masayuki, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
    83. Harimohan, Rashmi, 2012. "How has the risk to inflation from inflation expectations evolved?," Bank of England Quarterly Bulletin, Bank of England, vol. 52(2), pages 114-123.
    84. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    85. Paloviita, Maritta & Virén, Matti, 2014. "Analysis of forecast errors in micro-level survey data," Bank of Finland Research Discussion Papers 8/2014, Bank of Finland.
    86. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    87. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    88. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    89. Masayuki Morikawa, 2016. "What Types of Policy Uncertainties Matter for Business?," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 527-540, December.
    90. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    91. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Nonlinear Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-172/4, Tinbergen Institute.
    92. Montes, Gabriel Caldas & Souza, Ivan, 2020. "Sovereign default risk, debt uncertainty and fiscal credibility: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    93. Fuest, Angela & Schmidt, Torsten, 2020. "Inflation expectation uncertainty in a New Keynesian framework," Ruhr Economic Papers 867, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    94. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    95. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    96. de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023. "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, vol. 47(2).
    97. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.
    98. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "Anchoring of consumers’ long-term euro area inflation expectations during the pandemic," Working Papers 715, DNB.
    99. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.

  15. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2005. "Doctor Who? Who Gets Admission Offers in UK Medical Schools," IZA Discussion Papers 1775, Institute of Labor Economics (IZA).

    Cited by:

    1. Carmen Aina & Cheti Nicoletti, 2014. "The intergenerational transmission of liberal professions: nepotism versus abilities," Discussion Papers 14/14, Department of Economics, University of York.
    2. Idaira Rodríguez-Santana & Martin Chalkley, 2015. "The socioeconomic and demographic characteristics of United Kingdom junior doctors in training across specialities," Working Papers 119cherp, Centre for Health Economics, University of York.
    3. Nicoletti, Cheti & Aina, Carmen, 2014. "The intergenerational mobility of liberal professions: nepotism versus abilities," ISER Working Paper Series 2014-39, Institute for Social and Economic Research.

  16. Massimiliano Bratti & Robin Naylor & Jeremy Smith, 2005. "Variations in the Wage Returns to a First Degree: Evidence from the British Cohort Study 1970," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1005, Universitá degli Studi di Milano.

    Cited by:

    1. Chevalier, Arnaud, 2011. "Subject Choice and Earnings of UK Graduates," IZA Discussion Papers 5652, Institute of Labor Economics (IZA).
    2. Lindsey Macmillan & Claire Tyler & Anna Vignoles, 2013. "Who gets the Top Jobs? The role of family background and networks in recent graduates' access to high status professions," DoQSS Working Papers 13-15, Quantitative Social Science - UCL Social Research Institute, University College London.
    3. Jack Britton & Lorraine Dearden & Neil Shephard & Anna Vignoles, 2016. "How English domiciled graduate earnings vary with gender, institution attended, subject and socio-economic background," IFS Working Papers W16/06, Institute for Fiscal Studies.
    4. Seamus McGuinness & Jessica Bennett, 2009. "Changes in the returns to schooling 1991-2002: evidence from the British Household Panel Survey," Education Economics, Taylor & Francis Journals, vol. 17(2), pages 167-184.
    5. Jack Britton & Neil Shephard & Anna Vignoles, 2015. "Comparing sample survey measures of English earnings of graduates with administrative data during the Great Recession," IFS Working Papers W15/28, Institute for Fiscal Studies.
    6. Broecke, Stijn & Nicholls, Tom, 2007. "Ethnicity and degree attainment," MPRA Paper 35284, University Library of Munich, Germany.

  17. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Sensitivity of the chi-squared goodness-of-fit test to the partitioning of data," Economic Research Papers 269588, University of Warwick - Department of Economics.

    Cited by:

    1. Menezes, Mozart B.C. & da Silveira, Giovani J.C. & Guimarães, Renato, 2018. "Estimating demand variability and capacity costs due to social network influence: The hidden cost of connection," International Journal of Production Economics, Elsevier, vol. 197(C), pages 317-329.
    2. Oller, Lars-Erik & Teterukovsky, Alex, 2007. "Quantifying the quality of macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 23(2), pages 205-217.
    3. Gordon Anderson, 2008. "The empirical assessment of multidimensional welfare, inequality and poverty: Sample weighted multivariate generalizations of the Kolmogorov–Smirnov two sample tests for stochastic dominance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(1), pages 73-87, March.
    4. Bontemps, Christian, 2014. "Simple moment-based tests for value-at-risk models and discrete distribution," TSE Working Papers 14-535, Toulouse School of Economics (TSE).
    5. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).
    6. Bontemps, Christian, 2013. "Moment-Based Tests for Discrete Distributions," IDEI Working Papers 772, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2014.

  18. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2004. "Testing for seasonal unit roots in heterogeneous panels," Economic Research Papers 269589, University of Warwick - Department of Economics.

    Cited by:

    1. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2007. "Testing for seasonal unit roots in heterogeneous panels in the presence of cross section dependence," Economics Letters, Elsevier, vol. 97(2), pages 179-184, November.
    2. Christophe RAULT & Guglielmo Maria CAPORALE & Thouraya HADJ AMOR, 2009. "International Financial Integration And Real Exchange Rate Long-Run Dynamics In Emerging Countries," William Davidson Institute Working Papers Series wp970, William Davidson Institute at the University of Michigan.
    3. Kunst, R.M. & Franses, Ph.H.B.F., 2009. "Testing for seasonal unit roots in monthly panels of time series," Econometric Institute Research Papers EI 2009-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2008. "Testing for seasonal unit roots in heterogeneous panels using monthly data in the presence of cross sectional dependence," Economic Research Papers 269863, University of Warwick - Department of Economics.
    5. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.
    6. Guglielmo Maria Caporale & Thouraya Hadj Amor & Christophe Rault, 2009. "International Financial Integration and Real Exchange Rate Long-Run Dynamics in Emerging Countries: Some Panel Evidence," CESifo Working Paper Series 2819, CESifo.
    7. Ghatak, Subrata & Guresci-Pehlivan, Gulcin & Utkulu, Utku, 2011. "Convergence in an Enlarged Europe: The Turkish Case," Economics Discussion Papers 2011-3, School of Economics, Kingston University London.
    8. Ucar, Nuri & Guler, Huseyin, 2010. "Testing stochastic income convergence in seasonal heterogeneous panels," Economic Modelling, Elsevier, vol. 27(1), pages 422-431, January.
    9. Ho, Tsung-wu, 2008. "Testing seasonal mean-reversion in the real exchange rates: An application of nonlinear IV estimator," Economics Letters, Elsevier, vol. 99(2), pages 314-316, May.

  19. Otero, Jesus & Smith, Jeremy, 2003. "The KPSS test with outliers," Economic Research Papers 269574, University of Warwick - Department of Economics.

    Cited by:

    1. Michieka, Nyakundi M. & Gearhart, Richard, 2015. "Oil price fluctuations and employment in Kern County: A Vector Error Correction approach," Energy Policy, Elsevier, vol. 87(C), pages 584-590.
    2. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
    3. P. S. Sephton, 2010. "Unit roots and purchasing power parity: another kick at the can," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3439-3453.
    4. Zachmann, Georg, 2008. "Electricity wholesale market prices in Europe: Convergence?," Energy Economics, Elsevier, vol. 30(4), pages 1659-1671, July.
    5. Omid Bozorg-Haddad & Mohammad Solgi & Hugo A. Loáiciga, 2017. "Investigation of Climatic Variability with Hybrid Statistical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 341-353, January.
    6. Tayebi , Seyed Komail & Amini , Khaled Mohammad & Zamani , Zahra, 2012. "Inflation Determinants in Low and High Frequencies: An Implication of Spectral Analysis to Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 119-137, October.

  20. Souza, Leonardo Rocha & Smith, Jeremy & Souza, Reinaldo Castro, 2003. "Convex combinations of long memory estimates from different sampling rates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 489, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Cavalcanti Ferreira, Pedro & Facchini, Giovanni, 2005. "Trade liberalization and industrial concentration: Evidence from Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(2-3), pages 432-446, May.
    2. Monteiro, Paulo Klinger, 2006. "The set of equilibria of first-price auctions," Journal of Mathematical Economics, Elsevier, vol. 42(3), pages 364-372, June.

  21. Bratti, Massimiliano & McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2003. "Higher Education Outcomes, Graduate Employment and University Performance Indicators," Economic Research Papers 269586, University of Warwick - Department of Economics.

    Cited by:

    1. Sergey Roshchin & Victor Rudakov, 2015. "Do Starting Salaries for Graduates Measure the Quality of Education? A Review of Studies by Russian and Foreign Authors," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 137-181.
    2. Massimiliano Bratti, 2005. "Social Class and Undergraduate Degree Subject in the UK," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1015, Universitá degli Studi di Milano.
    3. Ciriaci, Daria & Muscio, Alessandro, 2010. "Does university choice drive graduates’ employability?," MPRA Paper 22527, University Library of Munich, Germany.
    4. F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
    5. Koda, Yoshiko & Yuki, Takako, 2013. "The labor market outcomes of two forms of cross-border higher education degree programs between Malaysia and Japan," International Journal of Educational Development, Elsevier, vol. 33(4), pages 367-379.
    6. Oluwabunmi O. Adejumo & Simplice A. Asongu & Akintoye V. Adejumo, 2021. "Education Enrollment Rate vs Employment Rate: Implications for Sustainable Human Capital Development in Nigeria," Research Africa Network Working Papers 21/013, Research Africa Network (RAN).
    7. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    8. Deka, Devajyoti, 2013. "An explanation of the relationship between adults’ work trip mode and children’s school trip mode through the Heckman approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 54-63.
    9. Koda, Yoshiko & Yuki, Takako, 2012. "The Labor Market Outcomes of Two Forms of Cross-Border Higher Education Degree Programs between Malaysia and Japan," Working Papers 41, JICA Research Institute.
    10. Andrea Cammelli, 2012. "Consolidamento ed eterogeneità nelle esperienze di studio dei laureati italiani," Working Papers 49, AlmaLaurea Inter-University Consortium.
    11. Yu, Nannan & Dong, Yueyan & de Jong, Martin, 2022. "A helping hand from the government? How public research funding affects academic output in less-prestigious universities in China," Research Policy, Elsevier, vol. 51(10).
    12. Alessandro Cigno & Annalisa Luporini, 2019. "Student loans and the allocation of graduate jobs," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(1), pages 339-378, February.
    13. Simone Celant, 2013. "The analysis of students’ academic achievement: the evaluation of peer effects through relational links," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 615-631, February.
    14. Juraj Cheben & Drahoslav Lancaric & Michal Munk & Peter Obdrzalek, 2020. "Determinants of Economic Sustainability in Higher Education Institutions," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(54), pages 462-462, April.
    15. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    16. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    17. Nicholas Longford & D. B. Rubin, 2006. "Performance assessment and league tables. Comparing like with like," Economics Working Papers 994, Department of Economics and Business, Universitat Pompeu Fabra.
    18. Bratti, Massimiliano & Checchi, Daniele, 2013. "Re-testing PISA Students One Year Later: On School Value Added Estimation Using OECD-PISA," IZA Discussion Papers 7722, Institute of Labor Economics (IZA).
    19. Guerrero, Maribel & Heaton, Sohvi & Urbano, David, 2021. "Building universities’ intrapreneurial capabilities in the digital era: The role and impacts of Massive Open Online Courses (MOOCs)," Technovation, Elsevier, vol. 99(C).
    20. Gabriele BALLARINO & Massimiliano BRATTI, 2006. "Fields of study and graduates’ occupational outcomes in Italy during the 90s. Who won and who lost?," Departmental Working Papers 2006-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    21. Maria Cristiana Martini & Luigi Fabbris, 2017. "Beyond Employment Rate: A Multidimensional Indicator of Higher Education Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 351-370, January.
    22. Gabriele Ballarino & Massimiliano Bratti, 2009. "Field of Study and University Graduates' Early Employment Outcomes in Italy during 1995–2004," LABOUR, CEIS, vol. 23(3), pages 421-457, September.
    23. Young-Hwan Lee & Hyung-Kee Kim, 2019. "Financial Support and University Performance in Korean Universities: A Panel Data Approach," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    24. Suleman, Neha & Admani, Arisha & Rahima, Rahima & Ali, Syed Saif & Sami, Abdul, 2022. "How do skills influence the students’ employability in a developing economy?," MPRA Paper 112326, University Library of Munich, Germany.

  22. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer class? The impact of degree performance on graduate labour market outcomes," Economic Research Papers 269472, University of Warwick - Department of Economics.

    Cited by:

    1. Carolina Castagnetti & Luisa Rosti, 2010. "The Gender Gap in Academic Achievements of Italian Graduates," Quaderni di Dipartimento 118, University of Pavia, Department of Economics and Quantitative Methods.
    2. Castagnetti, Carolina & Rosti, Luisa, 2007. "Effort allocation in tournaments: the effect of gender on academic performance in Italian universities," MPRA Paper 13441, University Library of Munich, Germany, revised 30 Jun 2008.
    3. Granato, Silvia & Havari, Enkelejda & Mazzarella, Gianluca & Schnepf, Sylke V., 2021. "Study Abroad Programmes and Students' Academic Performance: Evidence from Erasmus Applications," IZA Discussion Papers 14651, Institute of Labor Economics (IZA).

  23. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2002. "The Properties of Some Goodness-of-Fit Tests," Economic Research Papers 269466, University of Warwick - Department of Economics.

    Cited by:

    1. Boero, Gianna & Marrocu, Emanuela, 2003. "The Performance Of Setar Models: A Regime Conditional Evaluation Of Point, Interval And Density Forecasts," Economic Research Papers 269476, University of Warwick - Department of Economics.
    2. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Decompositions of Pearson's chi-squared test," Journal of Econometrics, Elsevier, vol. 123(1), pages 189-193, November.
    3. G. Marletto, 2006. "La politica dei trasporti come politica per l'innovazione: spunti da un approccio evolutivo," Working Paper CRENoS 200605, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. OA Carboni & G. Medda, 2007. "Government Size and the Composition of Public Spending in a Neoclassical Growth Model," Working Paper CRENoS 200701, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  24. Arulampalam, W. & Robin A. Naylor & Jeremy P. Smith, 2002. "University of Warwick," Royal Economic Society Annual Conference 2002 9, Royal Economic Society.

    Cited by:

    1. Lixin Cai & Guyonne Kalb & Yi-Ping Tseng & Ha Vu, 2008. "The Effect of Financial Incentives on Labour Supply: Evidence for Lone Parents from Microsimulation and Quasi-Experimental Evaluation," Fiscal Studies, Institute for Fiscal Studies, vol. 29(2), pages 285-325, June.
    2. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    3. Chien-Chung Nieh & Yu-Shan Wang, 2005. "ARDL Approach to the Exchange Rate Overshooting in Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 25(1), pages 55-71, August.
    4. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October.
    5. Gerald Marschke & Pascal Courty, 2000. "An Empirical Investigation of Gaming Responses to Performance Incentives," Discussion Papers 00-12, University at Albany, SUNY, Department of Economics.
    6. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    7. Arijit Mukherjee & Laixun Zhao, 2012. "Profitable parallel trade in unionized markets," Journal of Economics, Springer, vol. 107(3), pages 267-276, November.
    8. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2006. "Different returns to different degrees? Evidence from the British Cohort Study 1970," Economic Research Papers 269754, University of Warwick - Department of Economics.
    9. Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
    10. Haouas, Ilham & Yagoubi, Mahmoud & Heshmati, Almas, 2003. "The Impacts of Trade Liberalization on Employment and Wages in Tunisian Industries," IZA Discussion Papers 688, Institute of Labor Economics (IZA).
    11. Alison L. Booth & Marco Francesconi & Jeff Frank, 2002. "Temporary Jobs: Stepping Stones Or Dead Ends?," Economic Journal, Royal Economic Society, vol. 112(480), pages 189-213, June.
    12. Hartmut Egger & Daniel Etzel, 2010. "The Impact of Trade on Employment, Welfare, and Income Distribution in Unionized General Oligopolistic Equilibrium," Working Papers 088, Bavarian Graduate Program in Economics (BGPE).
    13. Massimiliano Bratti, 2005. "Social Class and Undergraduate Degree Subject in the UK," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1015, Universitá degli Studi di Milano.
    14. Eric French, 2005. "The Effects of Health, Wealth, and Wages on Labour Supply and Retirement Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 395-427.
    15. Heckman, J. & Smith, J. & Taber, C., 1994. "Accounting for Dropouts in Evaluations of Social Experiments," University of Chicago - Economics Research Center 94-3, Chicago - Economics Research Center.
    16. Torben M. Andersen, 2003. "Wage formation and European integration," European Economy - Economic Papers 2008 - 2015 188, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    17. Jeffrey R. Brown, 1999. "Are the Elderly Really Over-Annuitized? New Evidence on Life Insurance and Bequests," NBER Working Papers 7193, National Bureau of Economic Research, Inc.
    18. Fehr, Ernst & Goette, Lorenz, 2005. "Robustness and real consequences of nominal wage rigidity," Journal of Monetary Economics, Elsevier, vol. 52(4), pages 779-804, May.
    19. Brännlund, Runar & Nordström, Jonas & Svedin, Dick, 2004. "Foreign ownership and effects on employment and wages: The case of Sweden," Umeå Economic Studies 638, Umeå University, Department of Economics, revised 01 Nov 2004.
    20. John V. Pepper, 2002. "To Train or Not To Train: Optimal Treatment Assignment Rules Using Welfare-to-Work Experiments," Virginia Economics Online Papers 356, University of Virginia, Department of Economics.
    21. João Ricardo Faria & Miguel León-Ledesma, 2000. "Testing the Balassa-Samuelson Effect: Implications for Growth and PPP," Studies in Economics 0008, School of Economics, University of Kent.
    22. Dan A. Black & Jeffrey Smith, 2003. "How Robust is the Evidence on the Effects of College Quality? Evidence From Matching," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20033, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    23. Stephanie von Hinke Kessler Scholder, 2007. "Maternal Employment and Overweight Children: Does Timing Matter?," The Centre for Market and Public Organisation 07/180, The Centre for Market and Public Organisation, University of Bristol, UK.
    24. Louis N. Christofides & Thanasis Stengos, 2003. "Wage Rigidity in Canadian Collective Bargaining Agreements," ILR Review, Cornell University, ILR School, vol. 56(3), pages 429-448, April.
    25. Yin King Fok & Sung-Hee Jeon & Roger Wilkins, 2009. "Does Part-Time Employment Help or Hinder Lone Mothers Movements into Full-Time Employment?," Melbourne Institute Working Paper Series wp2009n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    26. Eric Strobl & Frank Walsh, 2007. "Dealing with monopsony power: Employment subsidies vs. minimum wages," Post-Print hal-00395607, HAL.
    27. Boone, Jan & Fredriksson, Peter & Holmlund, Bertil & van Ours, Jan, 2002. "Optimal unemployment insurance with monitoring and sanctions," Working Paper Series 2002:21, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    28. Arijit Mukherjee & Laixun Zhao, 2017. "Profit Raising Entry," Journal of Industrial Economics, Wiley Blackwell, vol. 65(1), pages 214-219, March.
    29. Ann-Katrin Backlund & Åke Sandberg, 2002. "New Media Industry Development: Regions, Networks and Hierarchies - Some Policy Implications," Regional Studies, Taylor & Francis Journals, vol. 36(1), pages 87-91.
    30. Carmen Aina, 2010. "The Determinants of Educational Attainment, University Drop-out and Time-to-Degree. A focus on Italy," Working Papers 132, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    31. Heckman, James, 2001. "Accounting for Heterogeneity, Diversity and General Equilibrium in Evaluating Social Programmes," Economic Journal, Royal Economic Society, vol. 111(475), pages 654-699, November.
    32. Brunello, Giorgio & Winter-Ebmer, Rudolf, 2003. "Why do students expect to stay longer in college? Evidence from Europe," Economics Letters, Elsevier, vol. 80(2), pages 247-253, August.
    33. Chudnovsky, Daniel & López, Andrés & Rossi, Martín & Ubfal, Diego, 2006. "Evaluating a Program of Public Funding of Private Innovation Activities: An Econometric Study of FONTAR in Argentina," IDB Publications (Working Papers) 2829, Inter-American Development Bank.
    34. David Granlund & Niklas Rudholm & Magnus Wikström, 2006. "Fixed budgets as a cost containment measure for pharmaceuticals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 37-45, March.
    35. Bukowski, Maciej & Lewandowski, Piotr & Koloch, Grzegorz & Baranowska, Anna & Magda, Iga & Szydlowski, Arkadiusz & Bober, Magda & Bieliński, Jacek & Zawistowski, Julian & Sarzalska, Malgorzata, 2008. "Employment in Poland 2007: Security on flexible labour market," MPRA Paper 14284, University Library of Munich, Germany.
    36. Nordblom, K., 2001. "Within-the-Family Education and Its Impact on Equality," Papers 2001:06, Uppsala - Working Paper Series.
    37. Wiji Arulampalam & Alison L. Booth, 2000. "Union status of young men in Britain: a decade of change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 289-310.
    38. Todd E. Clark & Michael W. McCracken, 2009. "Combining Forecasts from Nested Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 303-329, June.
    39. Steven F. Venti & James M. Poterba & David A. Wise, 2000. "Saver Behavior and 401(k) Retirement Wealth," American Economic Review, American Economic Association, vol. 90(2), pages 297-302, May.
    40. Massimiliano Bratti & Stefano Staffolani, 2007. "Effort‐based career opportunities and working time," International Journal of Manpower, Emerald Group Publishing Limited, vol. 28(6), pages 489-512, September.
    41. Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2007. "Targeting Labour Market Programmes - Results from A Randomised Experiment," CEPR Discussion Papers 6537, C.E.P.R. Discussion Papers.
    42. Angelucci, Manuela & De Giorgi, Giacomo, 2006. "Indirect Effects of an Aid Program: The Case of Progresa and Consumption," IZA Discussion Papers 1955, Institute of Labor Economics (IZA).
    43. Parente, Paulo M.D.C. & Smith, Richard J., 2011. "Gel Methods For Nonsmooth Moment Indicators," Econometric Theory, Cambridge University Press, vol. 27(1), pages 74-113, February.
    44. Rafael Lalive & Jan C. van Ours & Josef Zweimueller, "undated". "The Impact of Active Labor Market Programs on the Duration of Unemployment," IEW - Working Papers 041, Institute for Empirical Research in Economics - University of Zurich.
    45. Long, Dara, 2008. "Purchasing Power Parity and Real Exchange Rate in Japan," MPRA Paper 11173, University Library of Munich, Germany.
    46. Lechner, Michael & Vazquez-Alvarez, Rosalia, 2003. "The Effect of Disability on Labour Market Outcomes in Germany: Evidence from Matching," IZA Discussion Papers 967, Institute of Labor Economics (IZA).
    47. Fredriksson, Peter & Holmlund, Bertil, 2003. "Improving incentives in unemployment insurance: A review of recent research," Working Paper Series 2003:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    48. Bratti, Massimiliano & Naylor, Robin & Smith, Jeremy, 2005. "Variations in the Wage Returns to a First Degree: Evidence from the British Cohort Study 1970," IZA Discussion Papers 1631, Institute of Labor Economics (IZA).
    49. Corneo, G., 1992. "Semi-Unionized Bargaining with Endogenous Membership and Management Opposition," DELTA Working Papers 92-13, DELTA (Ecole normale supérieure).
    50. Kjell Erik Lommerud & Frode Meland & Lars S¯rgard, 2003. "Unionised Oligopoly, Trade Liberalisation and Location Choice," Economic Journal, Royal Economic Society, vol. 113(490), pages 782-800, October.
    51. Sovannroeun SAMRETH & Dara LONG, 2008. "The Monetary Model of Exchange Rate: Evidence from the Philippines Using ARDL Approach," Economics Bulletin, AccessEcon, vol. 6(31), pages 1-13.
    52. Sang Nguyen & B.K. Atrostic, 2006. "How Businesses Use Information Technology: Insights for Measuring Technology and Productivity," Working Papers 06-15, Center for Economic Studies, U.S. Census Bureau.
    53. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    54. Kyriakos Chourdakis, 2005. "Lévy processes driven by stochastic volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(4), pages 333-352, December.
    55. Bastos, Paulo & Kreickemeier, Udo, 2009. "Unions, competition and international trade in general equilibrium," Journal of International Economics, Elsevier, vol. 79(2), pages 238-247, November.
    56. Carmen Aina, 2010. "University Drop-out in Italy," Working Papers 134, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    57. Frölich, Markus & Melly, Blaise, 2008. "Quantile Treatment Effects in the Regression Discontinuity Design," IZA Discussion Papers 3638, Institute of Labor Economics (IZA).
    58. Daniel Hallberg & Anders Klevmarken, 2003. "Time for children: A study of parent's time allocation," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(2), pages 205-226, May.
    59. Cuñat, Vicente & Guadalupe, Maria, 2004. "Executive compensation and product market competition," LSE Research Online Documents on Economics 19985, London School of Economics and Political Science, LSE Library.
    60. Michael D. Hurd & James P. Smith & Julie M. Zissimopoulos, 2002. "The Effects of Subjective Survival on Retirement and Social Security Claiming," NBER Working Papers 9140, National Bureau of Economic Research, Inc.
    61. Shingal, ANIRUDH, 2010. "Services growth and convergence: Getting India’s states together," MPRA Paper 32813, University Library of Munich, Germany.
    62. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    63. Marc Robinson, 1983. "Social Security and Physical Capital: An Interpretation of the Evidence, Lessons and Outlook," UCLA Economics Working Papers 307, UCLA Department of Economics.
    64. Ireland, Norman & Naylor, Robin A. & Smith, Jeremy & Telhaj, Shqiponja, 2009. "Educational Returns, ability composition and cohort effects : theory and evidence for cohorts of early-career UK graduates," The Warwick Economics Research Paper Series (TWERPS) 906, University of Warwick, Department of Economics.
    65. Florian Pelgrin & Sebastian Schich, 2004. "National Saving-Investment Dynamics and International Capital Mobility," Staff Working Papers 04-14, Bank of Canada.
    66. Yongcheol Shin & Ron P Smith & Mohammad Hashem Pesaran, 1998. "Pooled Mean Group Estimation of Dynamic Heterogeneous Panels," Edinburgh School of Economics Discussion Paper Series 16, Edinburgh School of Economics, University of Edinburgh.
    67. Ganguli, Ina & Terrell, Katherine, 2005. "Wage Ceilings and Floors: The Gender Gap in Ukraine's Transition," IZA Discussion Papers 1776, Institute of Labor Economics (IZA).
    68. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer Class? The Impact Of Degree Performance On Graduate Labour Market Outcomes," The Warwick Economics Research Paper Series (TWERPS) 659, University of Warwick, Department of Economics.
    69. Karen E. Dynan & Jonathan Skinner & Stephen P. Zeldes, 2000. "Do the Rich Save More?," NBER Working Papers 7906, National Bureau of Economic Research, Inc.
    70. Markus Frölich, 2006. "Statistical Treatment Choice: An Application to Active Labour Market Programmes," University of St. Gallen Department of Economics working paper series 2006 2006-14, Department of Economics, University of St. Gallen.
    71. Lee Lillard & Robert J. Willis, 2001. "Cognition and Wealth: The Importance of Probabilistic Thinking," Working Papers wp007, University of Michigan, Michigan Retirement Research Center.
    72. Riccardo DiCecio & Edward Nelson, 2009. "Euro membership as a U.K. monetary policy option: results from a structural model," Working Papers 2009-012, Federal Reserve Bank of St. Louis.
    73. Daniel Chudnovsky & Andrés López & Martín Rossi & Diego Ubfal, 2006. "Evaluating a Program of Public Funding of Scientific Activity. A Case Study of FONCYT in Argentina," OVE Working Papers 1206, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    74. Jalan, Jyotsna & Ravallion, Martin, 1999. "Income gains to the poor from workfare - estimates for Argentina's TRABAJAR Program," Policy Research Working Paper Series 2149, The World Bank.
    75. G. Boero & A. Mcknight & R. Naylor & J. Smith, 2001. "Graduates and graduate labour markets in the UK and Italy," Working Paper CRENoS 200111, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    76. Chan, Tze-Haw & Hooy, Chee-Wooi, 2010. "China-Malaysia’s Trading and Exchange Rate: Complementary or Conflicting Features?," MPRA Paper 25546, University Library of Munich, Germany.
    77. Olga Cantó-Sánchez, "undated". "Income mobility in Spain: How much is there," Studies on the Spanish Economy 17, FEDEA.
    78. Caliendo, Marco & Hujer, Reinhard & Thomsen, Stephan L., 2005. "Identifying effect heterogeneity to improve the efficiency of job creation schemes in Germany," IAB-Discussion Paper 200508, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    79. Frölich, Markus & Melly, Blaise, 2008. "Identification of Treatment Effects on the Treated with One-Sided Non-Compliance," IZA Discussion Papers 3671, Institute of Labor Economics (IZA).
    80. Birner, Regina & Davis, Kristin & Pender, John & Nkonya, Ephraim & Anandajayasekeram, Ponniah & Ekboir, Javier & Mbabu, Adiel & Spielman, David & Horna, Daniela & Benin, Samuel & Cohen, Marc J., 2006. "From "best practice" to "best fit": a framework for designing and analyzing pluralistic agricultural advisory services worldwide," FCND discussion papers 210, International Food Policy Research Institute (IFPRI).
    81. Rigobon, Roberto & Stoker, Thomas M., 2004. "Censored Regressors and Expansion Bias," Working papers 4451-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    82. Brian Bell & Richard Blundell & John Reenen, 1999. "Getting the Unemployed Back to Work: The Role of Targeted Wage Subsidies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(3), pages 339-360, August.
    83. Mariana Alfonso & Juan Carlos Calcagno, 2007. "Matriculación de minorías en universidades públicas de selectividad diversa, bajo distintos regímenes de admisión: El caso de Texas," Research Department Publications 4543, Inter-American Development Bank, Research Department.
    84. Meenagh, David & Minford, Patrick & Nowell, Eric & Sofat, Prakriti & Srinivasan, Naveen, 2009. "Can the facts of UK inflation persistence be explained by nominal rigidity?," Economic Modelling, Elsevier, vol. 26(5), pages 978-992, September.
    85. Megumi Kubota, "undated". "Real Exchange Rate Misalignments: Theoretical Modelling and Empirical Evidence," Discussion Papers 09/24, Department of Economics, University of York.
    86. G. Boero & J. Smith & KF. Wallis, 2002. "The properties of some goodness-of-fit tests," Working Paper CRENoS 200209, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    87. Pandey, Manoj K. & Kaur, Charanjit, 2009. "Investigating suicidal trend and its economic determinants: evidence from India," MPRA Paper 15732, University Library of Munich, Germany.
    88. Simon Appleton & John Knight & Lina Song & Qingjie Xia, 2002. "Causes et conséquences des réductions d'effectifs dans les entreprises publiques en Chine," Revue d’économie du développement, De Boeck Université, vol. 10(3), pages 159-189.
    89. Andrew Benito & Jumana Saleheen, 2013. "Labour Supply as a Buffer: Evidence from UK Households," Economica, London School of Economics and Political Science, vol. 80(320), pages 698-720, October.
    90. Levy, Amnon, 2007. "A theoretical analysis of rational diet of healthy and junk foods," Economics Working Papers wp07-01, School of Economics, University of Wollongong, NSW, Australia.
    91. Blanchflower, David G. & Oswald, Andrew J., 2005. "The Wage Curve Reloaded," IZA Discussion Papers 1665, Institute of Labor Economics (IZA).
    92. Chan, Tze-Haw & Hooy, Chee Wooi, 2003. "On Volatility Spillovers and Dominant Effects in East Asian: Before and After the 911," MPRA Paper 2032, University Library of Munich, Germany, revised 2006.
    93. Bowles, Hannah Riley & McGinn, Kathleen L., 2002. "When Does Gender Matter in Negotiation?," Working Paper Series rwp02-036, Harvard University, John F. Kennedy School of Government.
    94. Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
    95. Francesconi, Marco & Bardasi, Elena, 2000. "The effect of non-standard employment on mental health in Britain," ISER Working Paper Series 2000-37, Institute for Social and Economic Research.
    96. Mukherjee, Arijit, 2019. "Profit raising entry in a vertical structure," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    97. James Heckman & Rosa Matzkin & Lars Nesheim, 2005. "Nonparametric estimation of nonadditive hedonic models," CeMMAP working papers CWP03/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    98. Sarah Bohn, 2010. "The quantity and quality of new immigrants to the US," Review of Economics of the Household, Springer, vol. 8(1), pages 29-51, March.
    99. Hooy, Chee-Wooi & Chan, Tze-Haw, 2008. "Examining Exchange Rates Exposure, J-Curve and the Marshall-Lerner Condition for High Frequency Trade Series between China and Malaysia," MPRA Paper 10916, University Library of Munich, Germany, revised 06 Oct 2008.
    100. Whitney K. Newey & Joaquim J.S. Ramalho & Richard J. Smith, 2003. "A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter," Economics Working Papers 5_2003, University of Évora, Department of Economics (Portugal).
    101. Carolyn Heinrich & Jeffrey Wenger, 2002. "The Economic Contributions of James J. Heckman and Daniel L. McFadden," Review of Political Economy, Taylor & Francis Journals, vol. 14(1), pages 69-89.
    102. D Leslie, 2004. "Does UK Higher Education Discriminate Against Women?," Economic Issues Journal Articles, Economic Issues, vol. 9(2), pages 51-68, September.
    103. Lopez, Monica Correa & Naylor, Robin A., 2004. "The Cournot-Bertrand profit differential: A reversal result in a differentiated duopoly with wage bargaining," European Economic Review, Elsevier, vol. 48(3), pages 681-696, June.
    104. Richard M. Todd, 1989. "Periodic linear-quadratic methods for modeling seasonality," Staff Report 127, Federal Reserve Bank of Minneapolis.
    105. Peter MacKay & Gordon M. Phillips, 2002. "Is There an Optimal Industry Financial Structure?," NBER Working Papers 9032, National Bureau of Economic Research, Inc.
    106. Louis Christofides & Thanasis Stengos, 2001. "Nominal Wage Rigidity: Non-Parametric Tests Based on Union Data for Canada," CESifo Working Paper Series 535, CESifo.
    107. Fajnzylber, Pablo & Maloney, William F. & Rojas, Gabriel V. Montes, 2006. "Releasing constraints to growth or pushing on a string ? the impact of credit, training, business associations, and taxes on the performance of Mexican micro-firms," Policy Research Working Paper Series 3807, The World Bank.
    108. de la Mata, D, 2011. "The Effect of Medicaid on Children's Health: A Regression Discontinuity Approach," Health, Econometrics and Data Group (HEDG) Working Papers 11/16, HEDG, c/o Department of Economics, University of York.
    109. James J. Heckman & Jeffrey A. Smith, 1998. "Evaluating the Welfare State," NBER Working Papers 6542, National Bureau of Economic Research, Inc.
    110. Smith, J.C., 1996. "Bargaining Power and Local Labour Market Influences on Wage Determination," The Warwick Economics Research Paper Series (TWERPS) 455, University of Warwick, Department of Economics.
    111. Peter McAdam, 1998. "A Pedagogical Note on the Long Run of Macro Economic Models," Studies in Economics 9807, School of Economics, University of Kent.
    112. Janet Currie, 2000. "Early Childhood Intervention Programs: What Do We Know?," JCPR Working Papers 169, Northwestern University/University of Chicago Joint Center for Poverty Research.
    113. Martin, John P. & Grubb, David, 2001. "What works and for whom: a review of OECD countries' experiences with active labour market policies," Working Paper Series 2001:14, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    114. Arijit Mukherjee & Udo Broll & Soma Mukherjee, 2008. "The welfare effects of entry: the role of the input market," Discussion Papers 08/12, University of Nottingham, School of Economics.
    115. Mariana Alfonso & Juan Carlos Calcagno, 2007. "Minority Enrollments at Public Universities of Diverse Selectivity Levels under Different Admission Regimes: The Case of Texas," Research Department Publications 4542, Inter-American Development Bank, Research Department.
    116. Mohsen Bahmani-Oskooee & Taggert Brooks, 1999. "Bilateral J-Curve between U.S. and her trading partners," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 135(1), pages 156-165, March.
    117. Ilham Haouas & Mahmoud Yagoubi, 2001. "Consequences of trade liberalization on the labor market in developing economy : The case of Tunisia," Documents de travail 64, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
    118. Broecke, Stijn & Nicholls, Tom, 2007. "Ethnicity and degree attainment," MPRA Paper 35284, University Library of Munich, Germany.
    119. Leahy, Dermot & Montagna, Catia, 1999. "Unionisation and Foreign Direct Investment," CEPR Discussion Papers 2260, C.E.P.R. Discussion Papers.
    120. N. Kundan Kishor, 2007. "Does Consumption Respond More to Housing Wealth Than to Financial Market Wealth? If So, Why?," The Journal of Real Estate Finance and Economics, Springer, vol. 35(4), pages 427-448, November.
    121. Dastidar, Krishnendu Ghosh, 2004. "On Stackelberg games in a homogeneous product market," European Economic Review, Elsevier, vol. 48(3), pages 549-562, June.
    122. Philip Verwimp, 2003. "Micro-level Evidence from Rwanda," HiCN Working Papers 08, Households in Conflict Network.
    123. Kaiser, Ulrich, 2001. "Product innovation and product innovation marketing: theory and microeconometric evidence," ZEW Discussion Papers 01-31, ZEW - Leibniz Centre for European Economic Research.
    124. Stephen V. Cameron & James J. Heckman, 1999. "The Dynamics of Educational Attainment for Blacks, Hispanics, and Whites," NBER Working Papers 7249, National Bureau of Economic Research, Inc.
    125. Sheila Mammen & Daniel Lass & Sharon Seiling, 2009. "Labor Force Supply Decisions of Rural Low-Income Mothers," Journal of Family and Economic Issues, Springer, vol. 30(1), pages 67-79, March.
    126. Calderon,Cesar & Loayza,Norman V. & Serven,Luis & Calderon, Cesar*Loayza, Norman*Serven, Luis, 2003. "Do capital flows respond to risk and return?," Policy Research Working Paper Series 3059, The World Bank.
    127. Ezcurra, Roberto & Gil, Carlos & Pascual, Padro & Rapun, Manuel, 2002. "Mobility and regional inequality in the European Union: Implications for economic policy," ERSA conference papers ersa02p212, European Regional Science Association.
    128. Manoj K. Pandey & Charanjit Kaur, 2009. "Investigating Suicidal Trend and its Economic Determinants: Evidence from India," ASARC Working Papers 2009-08, The Australian National University, Australia South Asia Research Centre.
    129. Naylor, Robin A. & Smith, Jeremy, 2009. "Ability Bias, Skewness and the College Wage Premium," The Warwick Economics Research Paper Series (TWERPS) 907, University of Warwick, Department of Economics.

  25. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2002. "Effects of In-Class Variation and Student Rank on the Probability of Withdrawal: Cross-Section and Time-Series Analysis for UK University Students," IZA Discussion Papers 655, Institute of Labor Economics (IZA).

    Cited by:

    1. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The Earnings Returns to Graduating with Honors: Evidence from Law Graduates," IZA Discussion Papers 8825, Institute of Labor Economics (IZA).
    2. Johannes Berens & Simon Oster & Kerstin Schneider & Julian Burghoff, 2018. "Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods," Schumpeter Discussion Papers sdp18006, Universitätsbibliothek Wuppertal, University Library.
    3. Carmen Aina, 2010. "The Determinants of Educational Attainment, University Drop-out and Time-to-Degree. A focus on Italy," Working Papers 132, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    4. Brunello, Giorgio & Winter-Ebmer, Rudolf, 2003. "Why do students expect to stay longer in college? Evidence from Europe," Economics Letters, Elsevier, vol. 80(2), pages 247-253, August.
    5. Contini,Dalit & Ricciardi,Riccardo & Romito,Marco & Salza,Guido & Zotti,Roberto, 2020. "Improving university dropout and student careers. What room for institutional action?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202004, University of Turin.
    6. Judith M. Delaney & Paul J. Devereux, 2020. "How Gender and Prior Disadvantage Predict Performance in College," The Economic and Social Review, Economic and Social Studies, vol. 51(2), pages 189-239.
    7. Emanuela Ghignoni, 2015. "Family background and university dropouts during the crisis: the case of Italy," Working Papers in Public Economics 169, University of Rome La Sapienza, Department of Economics and Law.
    8. Fouarge, Didier & Heß, Pascal, 2023. "Preference-Choice Mismatch and University Dropout," IZA Discussion Papers 16215, Institute of Labor Economics (IZA).
    9. Carmen Aina, 2010. "University Drop-out in Italy," Working Papers 134, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    10. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    11. Di Pietro, Giorgio & Cutillo, Andrea, 2008. "Degree flexibility and university drop-out: The Italian experience," Economics of Education Review, Elsevier, vol. 27(5), pages 546-555, October.
    12. Bradley, Steve & Migali, Giuseppe, 2019. "The effects of the 2006 tuition fee reform and the Great Recession on university student dropout behaviour in the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 331-356.
    13. G. Boero & T. Laureti & R. Naylor, 2005. "An econometric analysis of student withdrawal and progression in post-reform Italian Universities," Working Paper CRENoS 200504, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    14. Philippe Cyrenne & Alan Chan, 2019. "The Determinants of Student Success in University: A Generalized Ordered Logit Approach," Departmental Working Papers 2019-03, The University of Winnipeg, Department of Economics.
    15. Marialuisa Restaino, 2008. "Dropping out of University of Salerno: a survival approach," Working Papers 3_193, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    16. D Leslie, 2004. "Does UK Higher Education Discriminate Against Women?," Economic Issues Journal Articles, Economic Issues, vol. 9(2), pages 51-68, September.
    17. Contini, Dalit & Salza, Guido, 2020. "Too few university graduates. Inclusiveness and effectiveness of the Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    18. Steve Bradley & Giuseppe Migali, 2015. "The Effect of a Tuition Fee Reform on the Risk of Drop Out from University in the UK," Working Papers 86010138, Lancaster University Management School, Economics Department.
    19. Horacio Matos-Díaz, 2009. "Determinantes de las tasas universitarias de graduación, retención y deserción en Puerto Rico: Un estudio de Caso," Revista de Economía del Rosario, Universidad del Rosario, May.
    20. Contini, Dalit & Salza, Guido & Scagni, Andrea, 2017. "Dropout and Time to Degree in Italian Universities Around the Economic Crisis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201716, University of Turin.

  26. Abigail McKnight & Robin Naylor & Jeremy Smith, 2002. "Sheer Class? The Extent and Sources of Variation in the UK Graduate Earnings Premium," CASE Papers 054, Centre for Analysis of Social Exclusion, LSE.

    Cited by:

    1. Jacek Liwiński & Emilia Bedyk, 2016. "Does it pay to invest in the education of children?," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    2. V. Vandenberghe & O. Debande, 2007. "Deferred and Income-contingent Tuition Fees: An Empirical Assessment using Belgian, German and UK Data," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 421-440.
    3. Vincent Vandenberghe, 2007. "Family Income and Tertiary Education Attendance across the EU: An empirical assessment using sibling data," CASE Papers case123, Centre for Analysis of Social Exclusion, LSE.
    4. Azad, Abul Kalam & Emran, Sheikh Jafar, 2018. "Ending High, Starting High: Job Placement of Economics Graduates of Dhaka University," MPRA Paper 103891, University Library of Munich, Germany, revised 15 Mar 2019.
    5. Vandenberghe, Vincent, 2007. "Family income and tertiary education attendance across the EU: an empirical assessment using sibling data," LSE Research Online Documents on Economics 6214, London School of Economics and Political Science, LSE Library.
    6. Emilia Bedyk & Jacek Liwiński, 2016. "The wage premium from parents’ investments in the education of their children in Poland," Working Papers 2016-14, Faculty of Economic Sciences, University of Warsaw.

  27. Naylor, Robin & Smith, Jeremy, 2002. "Schooling effects on subsequent university performance: evidence for the UK university population," Economic Research Papers 269470, University of Warwick - Department of Economics.

    Cited by:

    1. Green, Francis & Machin, Stephen & Murphy, Richard & Zhu, Yu, 2010. "The changing economic advantage from private school," LSE Research Online Documents on Economics 28288, London School of Economics and Political Science, LSE Library.
    2. Silva, Pedro Luís & DesJardins, Stephen L. & Biscaia, Ricardo & Sá, Carla & Teixeira, Pedro N., 2023. "Public and Private School Grade Inflations Patterns in Secondary Education," IZA Discussion Papers 16016, Institute of Labor Economics (IZA).
    3. Buly A Cardak & Chris Ryan, 2006. "Why are high ability individuals from poor backgrounds under-represented at university?," Working Papers 2006.04, School of Economics, La Trobe University.
    4. Sandra Nieto & Raul Ramos & Juan Carlos Duque, 2012. "Rural-urban differences in educational outcomes: Evidence for Colombia using PISA microdata," ERSA conference papers ersa12p388, European Regional Science Association.
    5. Delaney, Liam & Harmon, Colm & Redmond, Cathy, 2011. "Parental education, grade attainment and earnings expectations among university students," Economics of Education Review, Elsevier, vol. 30(6), pages 1136-1152.
    6. Philip Wales, 2013. "Access All Areas? The Impact of Fees and Background on Student Demand for Postgraduate Higher Education in the UK," SERC Discussion Papers 0128, Centre for Economic Performance, LSE.
    7. Biscaia, Ricardo & Sá, Carla & Teixeira, Pedro N., 2021. "The (In)effectiveness of regulatory policies in higher education—The case of access policy in Portugal," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 176-185.
    8. Simon Burgess & Claire Crawford & Lindsey Macmillan, 2017. "Assessing the role of grammar schools in promoting social mobility," DoQSS Working Papers 17-09, Quantitative Social Science - UCL Social Research Institute, University College London.
    9. Raul Ramos & Juan Carlos Duque & Sandra Nieto, 2013. "“Decomposing the Rural-Urban Differential in Student Achievement in Colombia Using PISA Microdata”," IREA Working Papers 201223, University of Barcelona, Research Institute of Applied Economics, revised Mar 2013.
    10. Juliana Guimarães & Breno Sampaio, 2007. "The Influence Of Family Background And Individual Characteristics On Entrance Tests Scores Of Brazilian University Students," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 092, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. A. Abdulhakeem, Kilishi, 2022. "University entrance Requirements and Students' Academic Performance," Working Papers 28, Department of Economics, University of Ilorin.
    12. Jorge Calero & Josep-Oriol Escardíbul, 2007. "Evaluación de servicios educativos: el rendimiento en los centros públicos y privados medido en PISA-2003," Hacienda Pública Española / Review of Public Economics, IEF, vol. 183(4), pages 33-66, december.
    13. Sandra Nieto & Raul Ramos, 2014. "“Decomposition of Differences in PISA Results in Middle Income Countries”," AQR Working Papers 201404, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2014.
    14. Juliana Guimarães & Breno Sampaio, 2008. "Mind the Gap: Evidences from Gender Differences in Scores in Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211527140, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Mañé Vernet, Ferran, 2010. "El retorno a las competencias para los titulados universitarios catalanes," Working Papers 2072/179591, Universitat Rovira i Virgili, Department of Economics.
    16. Robert Hill, 2019. "Does IEB make the grade? Alternative testing methods and Educational outcomes: The case of the IEB in South Africa," Working Papers 201904, University of Cape Town, Development Policy Research Unit.
    17. Philippe Cyrenne & Alan Chan, 2019. "The Determinants of Student Success in University: A Generalized Ordered Logit Approach," Departmental Working Papers 2019-03, The University of Winnipeg, Department of Economics.
    18. Wales, Philip, 2013. "Access all areas? The impact of fees and background on student demand for postgraduate higher education in the UK," LSE Research Online Documents on Economics 57846, London School of Economics and Political Science, LSE Library.
    19. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    20. Hildete P. Pinheiro & Pranab K. Sen & Aluísio Pinheiro & Samara F. Kiihl, 2020. "A nonparametric approach to assess undergraduate performance," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(4), pages 538-558, November.
    21. Mike Murray, 2016. "Does Poor Quality Schooling and/or Teacher Quality Hurt Black South African Students Enrolling for a Degree at the University of KwaZulu-Natal?," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-11, April.
    22. Wales, Philip, 2010. "Geography or economics? A micro-level analysis of the determinants of degree choice in the context of regional economic disparities in the UK," LSE Research Online Documents on Economics 33550, London School of Economics and Political Science, LSE Library.
    23. Philippe Cyrenne & Alan Chan, 2010. "High School Grades and University Performance: A Case Study," Departmental Working Papers 2010-02, The University of Winnipeg, Department of Economics.
    24. A. Abdulhakeem, Kilishi, 2021. "Explaining Academic Performance of First–Year Undergraduate Students in Economics," Working Papers 9, Department of Economics, University of Ilorin.
    25. Philip Wales, 2011. "Geography or Economics? A micro-level analysis of the determinants of degree choice in the context of regional economic disparities in the UK," ERSA conference papers ersa10p1046, European Regional Science Association.
    26. Cormac O'Dea & Ian Preston, 2012. "The distributional impact of public spending in the UK," IFS Working Papers W12/06, Institute for Fiscal Studies.
    27. Mallik, Girijasankar & Shankar, Sriram, 2016. "Does prior knowledge of economics and higher level mathematics improve student learning in principles of economics?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 66-73.

  28. Jesus Otero & Jeremy Smith, 2002. "Seasonal adjustment and cointegration," Borradores de Investigación 3483, Universidad del Rosario.

    Cited by:

    1. Álvaro Chaves Castro., 2005. "Un modelo de cointegración estacional de la producción industrial, Colombia 1993-2005," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, December.
    2. Tomas del Barrio Castro & Denise R. Osborn, 2006. "A Random Walk through Seasonal Adjustment: Noninvertible Moving Averages and Unit Root Tests," Economics Discussion Paper Series 0612, Economics, The University of Manchester.

  29. G. Boero & A. Mcknight & R. Naylor & J. Smith, 2001. "Graduates and graduate labour markets in the UK and Italy," Working Paper CRENoS 200111, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    Cited by:

    1. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    2. Daniele Checchi & Giuseppe Bertola, 2001. "Sorting and private education in Italy," Departmental Working Papers 2001-21, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    3. Ciriaci, Daria & Muscio, Alessandro, 2010. "Does university choice drive graduates’ employability?," MPRA Paper 22527, University Library of Munich, Germany.
    4. Cappellari, Lorenzo, 2004. "High School Types, Academic Performance and Early Labour Market Outcomes," IZA Discussion Papers 1048, Institute of Labor Economics (IZA).
    5. Patrizia Ordine & Claudio Lupi, 2009. "Family Income and Students' Mobility," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(1), pages 1-23, April.
    6. Paola Giuliano, 2008. "Culture and the Family: An Application to Educational Choices in Italy," Rivista di Politica Economica, SIPI Spa, vol. 98(4), pages 3-38, July-Augu.
    7. Andrea Cammelli, 2012. "Consolidamento ed eterogeneità nelle esperienze di studio dei laureati italiani," Working Papers 49, AlmaLaurea Inter-University Consortium.
    8. Zotti, Roberto & Barra, Cristian, 2014. "Human capital development, knowledge spillovers and local growth: Is there a quality effect of university efficiency?," MPRA Paper 60065, University Library of Munich, Germany.
    9. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    10. Barra, Cristian & Zotti, Roberto, 2014. "Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education," MPRA Paper 55570, University Library of Munich, Germany.
    11. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2015. "Evaluating the efficiency of Italian public universities (2008-2011) in presence of (unobserved) heterogeneity," Working papers 34, Società Italiana di Economia Pubblica.
    12. G. Boero & T. Laureti & R. Naylor, 2005. "An econometric analysis of student withdrawal and progression in post-reform Italian Universities," Working Paper CRENoS 200504, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    13. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    14. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    15. Bertola, Giuseppe & Checchi, Daniele, 2002. "Sorting and Private Education in Italy," CEPR Discussion Papers 3198, C.E.P.R. Discussion Papers.
    16. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    17. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.
    18. G. Marletto, 2006. "La politica dei trasporti come politica per l'innovazione: spunti da un approccio evolutivo," Working Paper CRENoS 200605, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Giuseppe Bertola & Pietro Garibaldi, 2003. "The Structure and History of Italian Unemployment," CESifo Working Paper Series 907, CESifo.

  30. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy P., 2001. "A Hazard Model of the Probability of Medical School Dropout in the United Kingdom," Economic Research Papers 269367, University of Warwick - Department of Economics.

    Cited by:

    1. Gérard Lassibille & María Lucía Navarro Gómez, 2008. "Why do higher education students drop out? Evidence from Spain," Post-Print halshs-00324365, HAL.
    2. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2001. "Factors affecting the probability of first-year medical student dropout in the UK : a logistic analysis for the entry cohorts of 1980-1992," The Warwick Economics Research Paper Series (TWERPS) 618, University of Warwick, Department of Economics.
    3. Jakobsen, Vibeke & Rosholm, Michael, 2003. "Dropping out of School? A Competing Risks Analysis of Young Immigrants’ Progress in the Educational System," IZA Discussion Papers 918, Institute of Labor Economics (IZA).
    4. G. Boero & A. Mcknight & R. Naylor & J. Smith, 2001. "Graduates and graduate labour markets in the UK and Italy," Working Paper CRENoS 200111, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. Wydra-Somaggio, Gabriele, 2017. "Early termination of vocational training: dropout or stopout?," IAB-Discussion Paper 201703, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Pål Børing, 2010. "Gamma Unobserved Heterogeneity and Duration Bias," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 1-19.

  31. Clements, M.P. & Franses, Ph.H.B.F. & Smith, J., 1999. "On SETAR non- linearity and forecasting," Econometric Institute Research Papers EI 9914-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. GIOT, Pierre & PETITJEAN, Mikael, 2005. "Dynamic asset allocation between stocks and bonds using the Bond-Equity Yield Ratio," LIDAM Discussion Papers CORE 2005010, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Paper series 42_09, Rimini Centre for Economic Analysis.
    3. Angelos Kanas, 2003. "Non-linear forecasts of stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 299-315.
    4. Frédérique Bec & Annabelle de Gaye, 2019. "Le modèle autorégressif autorégressif à seuil avec effet rebond : Une application aux rendements boursiers français et américains ," Working Papers hal-02014663, HAL.
    5. Asmara Jamaleh, 2002. "Explaining and forecasting the euro/dollar exchange rate through a non-linear threshold model," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 422-448.
    6. Baik, Hyeoncheol & Han, Sumin & Joo, Sunghoon & Lee, Kangbok, 2022. "A bank's optimal capital ratio: A time-varying parameter model to the partial adjustment framework," Journal of Banking & Finance, Elsevier, vol. 142(C).
    7. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    8. Ramazan Gencay & Ege Yazgan, 2017. "When Are Wavelets Useful Forecasters?," Working Papers 1704, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
    9. Costas Milas & Philip Rothman, 2007. "Out-of-Sample Forecasting of Unemployment Rates with Pooled STVECM Forecasts," Working Paper series 49_07, Rimini Centre for Economic Analysis.
    10. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an Optimal Forecast Combination? A Stochastic Dominance Approach to Forecast Combination Puzzle," Working Paper series 17_12, Rimini Centre for Economic Analysis.
    11. GIOT, Pierre & PETITJEAN, Mikael, 2007. "The information content of the Bond-Equity Yield Ratio: Better than a random walk?," LIDAM Reprints CORE 1982, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Siliverstovs, B. & van Dijk, D.J.C., 2003. "Forecasting industrial production with linear, nonlinear, and structural change models," Econometric Institute Research Papers EI 2003-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Bermejo Mancera, Miguel Ángel & Peña, Daniel & Sánchez, Ismael, 2009. "Graphical identification of TAR models," DES - Working Papers. Statistics and Econometrics. WS ws097723, Universidad Carlos III de Madrid. Departamento de Estadística.
    14. Frédérique Bec & Othman Bouabdallah & Laurent Ferrara, 2013. "The European Way out of Recession," Post-Print hal-02980626, HAL.
    15. de Morais, Igor Alexandre C. & Portugal, Marcelo Savino, 2005. "A Markov Switching Model for the Brazilian Demand for Imports: Analyzing the Import Substitution Process in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    16. Manzan, S. & Zerom, D., 2005. "A Multi-Step Forecast Density," CeNDEF Working Papers 05-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    18. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," International Journal of Forecasting, Elsevier, vol. 30(3), pages 539-549.
    19. Bob Nobay & Ivan Paya & David A. Peel, 2010. "Inflation Dynamics in the U.S.: Global but Not Local Mean Reversion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 135-150, February.
    20. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    21. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Regime Switching and Artificial Neural Network Forecasting," Working Papers 0502, University of Crete, Department of Economics.
    22. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    23. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
    24. Gianna Boero & Emanuela Marrocu, 2005. "Evaluating non-linear models on point and interval forecasts: an application with exchange rates," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 58(232), pages 91-120.
    25. Manzan, Sebastiano & Zerom, Dawit, 2008. "A bootstrap-based non-parametric forecast density," International Journal of Forecasting, Elsevier, vol. 24(3), pages 535-550.
    26. Amendola, Alessandra & Christian, Francq, 2009. "Concepts and tools for nonlinear time series modelling," MPRA Paper 15140, University Library of Munich, Germany.
    27. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    28. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    29. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.
    30. Pedro M.D.C.B. Gouveia & Denise R. Osborn & Paulo M.M. Rodrigues, 2008. "Comparing Seasonal Forecasts of Industrial Production," Centre for Growth and Business Cycle Research Discussion Paper Series 102, Economics, The University of Manchester.
    31. Harun Özkan & M. Yazgan, 2015. "Is forecasting inflation easier under inflation targeting?," Empirical Economics, Springer, vol. 48(2), pages 609-626, March.

  32. Clements, Michael P. & Smith, Jeremy, 1998. "Evaluating The Forecast Densities Of Linear And Non-Linear Models: Applications To Output Growth And Unemployment," Economic Research Papers 268791, University of Warwick - Department of Economics.

    Cited by:

    1. Norman R. Swanson & Nii Ayi Armah, 2011. "Predictive Inference Under Model Misspecification with an Application to Assessing the Marginal Predictive Content of Money for Output," Departmental Working Papers 201103, Rutgers University, Department of Economics.
    2. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    3. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    4. Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-079, New York University, Leonard N. Stern School of Business-.
    5. Cees Diks & Valentyn Panchenko & Dick van Dijk, 2008. "Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails," Discussion Papers 2008-10, School of Economics, The University of New South Wales.
    6. Shamiri, Ahmed & Shaari, Abu Hassan & Isa, Zaidi, 2007. "Practical Volatility Modeling for Financial Market Risk Management," MPRA Paper 9790, University Library of Munich, Germany, revised 15 May 2008.
    7. Boero, Gianna & Marrocu, Emanuela, 2003. "The Performance Of Setar Models: A Regime Conditional Evaluation Of Point, Interval And Density Forecasts," Economic Research Papers 269476, University of Warwick - Department of Economics.
    8. Corradi, Valentina & Swanson, Norman R., 2004. "Some recent developments in predictive accuracy testing with nested models and (generic) nonlinear alternatives," International Journal of Forecasting, Elsevier, vol. 20(2), pages 185-199.
    9. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    10. Burkhard Raunig, 2003. "Testing for Longer Horizon Predictability of Return Volatility with an Application to the German," Working Papers 86, Oesterreichische Nationalbank (Austrian Central Bank).
    11. Francisco Peñaranda, 2004. "Are Vector Autoregressions an Accurate Model for Dynamic Asset Allocation?," Working Papers wp2004_0419, CEMFI.
    12. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    13. Gabriela de Raaij & Burkhard Raunig, 2002. "Evaluating Density Forecasts with an Application to Stock Market Returns," Working Papers 59, Oesterreichische Nationalbank (Austrian Central Bank).
    14. Heather M. Anderson & Chin Nam Low, 2006. "Random Walk Smooth Transition Autoregressive Models," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 247-281, Emerald Group Publishing Limited.
    15. Valentina Corradi & Norman R. Swanson, 2003. "Bootstrap Conditional Distribution Tests In the Presence of Dynamic Misspecification," Departmental Working Papers 200311, Rutgers University, Department of Economics.
    16. Manzan, S. & Zerom, D., 2005. "A Multi-Step Forecast Density," CeNDEF Working Papers 05-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. David Hendry, 2000. "A General Forecast-error Taxonomy," Econometric Society World Congress 2000 Contributed Papers 0608, Econometric Society.
    18. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    19. Shamiri, Ahmed & Shaari, Abu Hassan & Isa, Zaidi, 2008. "Comparing the accuracy of density forecasts from competing GARCH models," MPRA Paper 13662, University Library of Munich, Germany.
    20. Norman R. Swanson & Lili Cai, 2011. "In- and Out-of-Sample Specification Analysis of Spot Rate Models: Further Evidence for the Period 1982-2008," Departmental Working Papers 201102, Rutgers University, Department of Economics.
    21. Rossi, Barbara & Sekhposyan, Tatevik, 2014. "Evaluating predictive densities of US output growth and inflation in a large macroeconomic data set," International Journal of Forecasting, Elsevier, vol. 30(3), pages 662-682.
    22. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    23. Gabriela De Raaij & Burkhard Raunig, 2005. "Evaluating density forecasts from models of stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 11(2), pages 151-166.
    24. Diep Duong & Norman Swanson, 2013. "Density and Conditional Distribution Based Specification Analysis," Departmental Working Papers 201312, Rutgers University, Department of Economics.
    25. Valentina Corradi & Norman Swanson, 2003. "The Block Bootstrap for Parameter Estimation Error In Recursive Estimation Schemes, With Applications to Predictive Evaluation," Departmental Working Papers 200313, Rutgers University, Department of Economics.
    26. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    27. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185372, HAL.
    28. G. Ascari & E. Marrocu, 2003. "Forecasting inflation: a comparison of linear Phillips curve models and nonlinear time serie models," Working Paper CRENoS 200307, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
    30. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
    31. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.

  33. Clements, Michael P. & Smith, Jeremy, 1998. "Non-Linearities In Exchange Rates," Economic Research Papers 268786, University of Warwick - Department of Economics.

    Cited by:

    1. Liew Khim Sen & Ahmad Zubaidi Baharumshah, 2003. "How Well the Ringgit-Yen Rate Fits the Non-linear Smooth Transition Autoregressive and Linear Autoregressive Models," GE, Growth, Math methods 0307004, University Library of Munich, Germany.
    2. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. G. Ascari & E. Marrocu, 2003. "Forecasting inflation: a comparison of linear Phillips curve models and nonlinear time serie models," Working Paper CRENoS 200307, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    4. G. Boero & E. Marrocu, 1999. "Modelli non lineari per i tassi di cambio: un confronto previsivo," Working Paper CRENoS 199914, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  34. Clementrs, Michael P. & Smith, Jeremy, 1997. "A Monte Carlo study of the forecasting performance of empirical SETAR models," Economic Research Papers 268734, University of Warwick - Department of Economics.

    Cited by:

    1. Florian Huber, 2014. "Forecasting Exchange Rates using Bayesian Threshold Vector Autoregressions," Economics Bulletin, AccessEcon, vol. 34(3), pages 1687-1695.
    2. Chakradhara Panda & V. Narasimhan, 2006. "Predicting Stock Returns," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 7(2), pages 205-218, September.
    3. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.
    4. Hongxing Yao & Abdul Rashid Abdul Rahaman, 2018. "Efficient Market Hypothesis and the RMB-Dollar Rates: A Nonlinear Modeling of the Exchange Rate," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(2), pages 150-160, February.

  35. Clements, Michael P. & Smith, Jeremy, 1996. "The Performance of Alternative Forecasting Methods for SETAR Models," Economic Research Papers 268737, University of Warwick - Department of Economics.

    Cited by:

    1. Jha, Girish K. & Sinha, Kanchan, 2013. "Agricultural Price Forecasting Using Neural Network Model: An Innovative Information Delivery System," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 26(2).
    2. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    3. Pentti Saikkonen & Antti Ripatti, 2000. "On the Estimation of Euler Equations in the Presence of a Potential Regime Shift," Manchester School, University of Manchester, vol. 68(s1), pages 92-121.
    4. Bauwens, Luc & Braione, Manuela & Storti, Giuseppe, 2017. "A dynamic component model for forecasting high-dimensional realized covariance matrices," Econometrics and Statistics, Elsevier, vol. 1(C), pages 40-61.
    5. van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. N. Terui & Herman K. van Dijk, 2000. "Combined Forecasts from Linear and Nonlinear Time Series Models," Tinbergen Institute Discussion Papers 00-003/4, Tinbergen Institute.
    7. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    8. Huanxing Yang, 2010. "Information aggregation and investment cycles with strategic complementarity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 43(2), pages 281-311, May.
    9. Pawel Milobedzki, 2010. "The Term Structure of the Polish Interbank Rates. A Note on the Symmetry of their Reversion to the Mean," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 81-95.
    10. G. Boero & E. Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    11. Andrew Phiri, 2012. "Threshold effects and inflation persistence in South Africa," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 4(3), pages 247-269, July.
    12. Naraidoo, Ruthira & Paya, Ivan, 2012. "Forecasting monetary policy rules in South Africa," International Journal of Forecasting, Elsevier, vol. 28(2), pages 446-455.
    13. Crespo-Cuaresma, Jesus, 2000. "Forecasting European GDP Using Self-Exciting Threshold Autoregressive Models. A Warning," Economics Series 79, Institute for Advanced Studies.
    14. Boero, Gianna & Marrocu, Emanuela, 2003. "The Performance Of Setar Models: A Regime Conditional Evaluation Of Point, Interval And Density Forecasts," Economic Research Papers 269476, University of Warwick - Department of Economics.
    15. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    16. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-141, March-Apr.
    17. Philippe Goulet Coulombe, 2020. "To Bag is to Prune," Papers 2008.07063, arXiv.org, revised Jun 2021.
    18. Clements, Michael P. & Galvao, Ana Beatriz, 2004. "A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure," International Journal of Forecasting, Elsevier, vol. 20(2), pages 219-236.
    19. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    20. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
    21. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    22. Michael Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Department of Economics Working Papers 2006-04, Universidad Torcuato Di Tella.
    23. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    24. Markku Lanne, 2003. "Testing the Expectations Hypothesis of the Term Structure of Interest Rates in the Presence of a Potential Regime Shift," Manchester School, University of Manchester, vol. 71(s1), pages 54-67, September.
    25. Clementrs, Michael P. & Smith, Jeremy, 1997. "A Monte Carlo study of the forecasting performance of empirical SETAR models," Economic Research Papers 268734, University of Warwick - Department of Economics.
    26. Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
    27. Manzan, S. & Zerom, D., 2005. "A Multi-Step Forecast Density," CeNDEF Working Papers 05-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    28. Philippe Goulet Coulombe, 2021. "To Bag is to Prune," Working Papers 21-03, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Jun 2021.
    29. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    30. Grabowski Daniel & Winker Peter & Staszewska-Bystrova Anna, 2017. "Generating prediction bands for path forecasts from SETAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-18, December.
    31. Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003. "On SETAR non-linearity and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
    32. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    33. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    34. Fabio Gobbi, 2021. "Evaluating Forecasts from State-Dependent Autoregressive Models for US GDP Growth Rate. Comparison with Alternative Approaches," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-7.
    35. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
    36. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    37. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707.
    38. Ruthira Naraidoo & Ivan Paya, 2010. "Forecasting Monetary Rules in South Africa," Working Papers 201007, University of Pretoria, Department of Economics.
    39. Milena Hoyos & Mario Galindo, 2011. "Comparación de los modelos SETAR y STAR para el índice de empleo industrial colombiano," Documentos de Trabajo, Escuela de Economía 8347, Universidad Nacional de Colombia, FCE, CID.
    40. Massimo Guidolin & Carrie Fangzhou Na, 2007. "The economic and statistical value of forecast combinations under regime switching: an application to predictable U.S. returns," Working Papers 2006-059, Federal Reserve Bank of St. Louis.
    41. David McMillan, 2008. "Non-linear cointegration and adjustment: an asymmetric exponential smooth-transition model for US interest rates," Empirical Economics, Springer, vol. 35(3), pages 591-606, November.
    42. Ahmad, Saad & Civelli, Andrea, 2016. "Globalization and inflation: A threshold investigation," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 283-304.
    43. Manzan, Sebastiano & Zerom, Dawit, 2008. "A bootstrap-based non-parametric forecast density," International Journal of Forecasting, Elsevier, vol. 24(3), pages 535-550.
    44. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
    45. Amendola, Alessandra & Christian, Francq, 2009. "Concepts and tools for nonlinear time series modelling," MPRA Paper 15140, University Library of Munich, Germany.
    46. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    47. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    48. Eraslan, Sercan & Nöller, Marvin, 2020. "Recession probabilities falling from the STARs," Discussion Papers 08/2020, Deutsche Bundesbank.
    49. Yuzhi Cai, 2005. "A forecasting procedure for nonlinear autoregressive time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 335-351.
    50. De Gooijer, Jan G. & Ray, Bonnie K., 2003. "Modeling vector nonlinear time series using POLYMARS," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 73-90, February.
    51. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    52. Harvill, Jane L. & Ray, Bonnie K., 2005. "A note on multi-step forecasting with functional coefficient autoregressive models," International Journal of Forecasting, Elsevier, vol. 21(4), pages 717-727.
    53. Clements, Michael P. & Galvão, Ana Beatriz C., 2003. "Testing The Expectations Theory Of The Term Structure Of Interest Rates In Threshold Models," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 567-585, September.
    54. Leonardo Souza & Alvaro Veiga & Marcelo C. Medeiros, 2002. "Evaluating the performance of GARCH models using White´s Reality Check," Textos para discussão 453, Department of Economics PUC-Rio (Brazil).
    55. Holt, Matthew T. & Craig, Lee A., 2006. "AJAE Appendix: Nonlinear Dynamics and Structural Change in the U.S. Hog-Corn Ratio: A Time-Varying Star Approach," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 88(1), pages 1-16, February.

  36. Clements, Michael P & Smith, Jeremy, 1996. "A Monte Carlo Study of the Forecasting Performance of Empirical Setar Models," The Warwick Economics Research Paper Series (TWERPS) 464, University of Warwick, Department of Economics.

    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    2. Lanne, Markku & Luoto, Jani & Saikkonen, Pentti, 2010. "Optimal Forecasting of Noncausal Autoregressive Time Series," MPRA Paper 23648, University Library of Munich, Germany.
    3. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    4. Ahn, Eun S. & Lee, Jin Man, 2012. "The Performance Of Nonlinearity Tests On Asymmetric Nonlinear Time Series," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 11-44.
    5. N. Terui & Herman K. van Dijk, 2000. "Combined Forecasts from Linear and Nonlinear Time Series Models," Tinbergen Institute Discussion Papers 00-003/4, Tinbergen Institute.
    6. G. Boero & E. Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    7. Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
    8. Chunming Yuan, 2008. "The Exchange Rate and Macroeconomic Determinants: Time-Varying Transitional Dynamics," UMBC Economics Department Working Papers 09-114, UMBC Department of Economics, revised 01 Nov 2009.
    9. Dominique Guegan, 2011. "Contagion Between the Financial Sphere and the Real Economy. Parametric and non Parametric Tools: A Comparison," Post-Print halshs-00185373, HAL.
    10. Mouratidis, Kostas, 2008. "Evaluating currency crises: A Bayesian Markov switching approach," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1688-1711, December.
    11. M. Mallikarjuna & R. Prabhakara Rao, 2019. "Evaluation of forecasting methods from selected stock market returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-16, December.
    12. Boero, Gianna & Marrocu, Emanuela, 2003. "The Performance Of Setar Models: A Regime Conditional Evaluation Of Point, Interval And Density Forecasts," Economic Research Papers 269476, University of Warwick - Department of Economics.
    13. Andrea Cipollini & Kostas Mouratidis & Nicola Spagnolo, 2008. "Evaluating currency crises: the case of the European monetary system," Empirical Economics, Springer, vol. 35(1), pages 11-27, August.
    14. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    15. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    16. Rossen, Anja, 2014. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 157, Hamburg Institute of International Economics (HWWI).
    17. Clements, Michael P. & Galvao, Ana Beatriz, 2004. "A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure," International Journal of Forecasting, Elsevier, vol. 20(2), pages 219-236.
    18. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    19. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    20. Oscar Claveria & Salvador Torra, 2013. "“Forecasting Business surveys indicators: neural networks vs. time series models”," IREA Working Papers 201320, University of Barcelona, Research Institute of Applied Economics, revised Nov 2013.
    21. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    22. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Self-organizing map analysis of agents’ expectations. Different patterns of anticipation of the 2008 financial crisis”," AQR Working Papers 201508, University of Barcelona, Regional Quantitative Analysis Group, revised Mar 2015.
    23. Uctum, Remzi, 2007. "Économétrie des modèles à changement de régimes : un essai de synthèse," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 447-482, décembre.
    24. Kapetanios, G., 1999. "Threshold Models for Trended Time Series," Cambridge Working Papers in Economics 9905, Faculty of Economics, University of Cambridge.
    25. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
    26. 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.
    27. Man-Wai Ng & Wai-Sum Chan, 2004. "Robustness of alternative non-linearity tests for SETAR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 215-231.
    28. Michael Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Department of Economics Working Papers 2006-04, Universidad Torcuato Di Tella.
    29. Antoine Lejay & Paolo Pigato, 2020. "Maximum likelihood drift estimation for a threshold diffusion," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 609-637, September.
    30. Denise R. Osborn & Paul W. Simpson, 2000. "Forecasting UK Industrial Production Over the Business Cycle," Econometric Society World Congress 2000 Contributed Papers 1059, Econometric Society.
    31. Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
    32. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332.
    33. David Hendry, 2000. "A General Forecast-error Taxonomy," Econometric Society World Congress 2000 Contributed Papers 0608, Econometric Society.
    34. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2009. "Non-linear predictability in stock and bond returns: when and where is it exploitable?," Working Papers 2008-010, Federal Reserve Bank of St. Louis.
    35. Grabowski Daniel & Winker Peter & Staszewska-Bystrova Anna, 2017. "Generating prediction bands for path forecasts from SETAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-18, December.
    36. Miquel Clar & Juan-Carlos Duque & Rosina Moreno, 2007. "Forecasting business and consumer surveys indicators-a time-series models competition," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2565-2580.
    37. Francisco Ledesma-Rodríguez & Manuel Navarro-Ibáñez & Jorge Pérez-Rodríguez & Simón Sosvilla-Rivero, "undated". "Assessing the credibility of a target zone: Evidence from the EMS," Working Papers 2001-04, FEDEA.
    38. Adrian Cantemir Calin & Tiberiu Diaconescu & Oana – Cristina Popovici, 2014. "Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(1), pages 42-47, June.
    39. Guney, Selin, 2015. "An Analysis of the Pass-Through of Exchange Rates in Tropical Forest Product Markets: A Smooth Transition Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205107, Agricultural and Applied Economics Association.
    40. Mercedes Alda & Luis Ferruz, 2012. "Linear and nonlinear financial time series: evidence in a sample of pension funds in Spain and the United Kingdom," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1933-1937, December.
    41. Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003. "On SETAR non-linearity and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
    42. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    43. Clements, Michael P. & Smith, Jeremy, 1997. "The performance of alternative forecasting methods for SETAR models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 463-475, December.
    44. David G. McMillan, 2009. "Non-linear interest rate dynamics and forecasting: evidence for US and Australian interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 139-155.
    45. Dominique Guegan, 2011. "Contagion Between the Financial Sphere and the Real Economy. Parametric and non Parametric Tools: A Comparison," PSE-Ecole d'économie de Paris (Postprint) halshs-00185373, HAL.
    46. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
    47. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Post-Print halshs-00185372, HAL.
    48. Jennifer Castle & David Hendry, 2013. "Semi-automatic Non-linear Model selection," Economics Series Working Papers 654, University of Oxford, Department of Economics.
    49. van Dijk, D.J.C. & Franses, Ph.H.B.F., 2003. "Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy," Econometric Institute Research Papers EI 2003-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    50. Huber Florian, 2016. "Forecasting exchange rates using multivariate threshold models," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 193-210, January.
    51. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    52. Clements, Michael P. & Smith, Jeremy, 2001. "Evaluating forecasts from SETAR models of exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 133-148, February.
    53. Heravi, Saeed & Osborn, Denise R. & Birchenhall, C. R., 2004. "Linear versus neural network forecasts for European industrial production series," International Journal of Forecasting, Elsevier, vol. 20(3), pages 435-446.
    54. Gianna Boero & Emanuela Marrocu, 2005. "Evaluating non-linear models on point and interval forecasts: an application with exchange rates," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 58(232), pages 91-120.
    55. Nadir Ocal & Denise R. Osborn, 2000. "Business cycle non-linearities in UK consumption and production," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 27-43.
    56. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185372, HAL.
    57. McMillan, David G., 2007. "Non-linear forecasting of stock returns: Does volume help?," International Journal of Forecasting, Elsevier, vol. 23(1), pages 115-126.
    58. Jack R. Rogers, 2013. "Monetary Transmission to UK Retail Mortgage Rates before and after August 2007," Discussion Papers 1307, University of Exeter, Department of Economics.
    59. Ahmad, Saad & Civelli, Andrea, 2016. "Globalization and inflation: A threshold investigation," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 283-304.
    60. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
    61. Chunming Yuan, 2008. "Forecasting Exchange Rates: The Multi-State Markov-Switching Model with Smoothing," UMBC Economics Department Working Papers 09-115, UMBC Department of Economics, revised 01 Nov 2009.
    62. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
    63. Adusei Jumah & Robert M. Kunst, 2008. "Seasonal prediction of European cereal prices: good forecasts using bad models?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 391-406.
    64. Nektarios Aslanidis, 2002. "Smooth Transition Regression Models in UK Stock Returns," Working Papers 0201, University of Crete, Department of Economics.
    65. Li, Jing, 2011. "Bootstrap prediction intervals for SETAR models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 320-332, April.
    66. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    67. Yuzhi Cai, 2005. "A forecasting procedure for nonlinear autoregressive time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 335-351.
    68. Shiyi Chen & Kiho Jeong & Wolfgang Härdle, 2008. "Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns," SFB 649 Discussion Papers SFB649DP2008-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    69. Perez-Rodriguez, Jorge V. & Torra, Salvador & Andrada-Felix, Julian, 2005. "STAR and ANN models: forecasting performance on the Spanish "Ibex-35" stock index," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 490-509, June.
    70. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    71. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
    72. Gabreyohannes, Emmanuel, 2010. "A nonlinear approach to modelling the residential electricity consumption in Ethiopia," Energy Economics, Elsevier, vol. 32(3), pages 515-523, May.

  37. Smith, Jeremy & Otero, Jesus, 1995. "Structural Breaks and Seasonal Integration," Economic Research Papers 268653, University of Warwick - Department of Economics.

    Cited by:

    1. 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).
    2. Clements, Michael & Smith, Jeremy, 1997. "Forecasting Seasonal Uk Consumption Components," Economic Research Papers 268761, University of Warwick - Department of Economics.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Clements, Michael P. & Hendry, David F., 1997. "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, Elsevier, vol. 13(3), pages 341-355, September.
    13. 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.
    14. 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.
    15. 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.

  38. Smith, Jeremy & Taylor, Nick & Yadav, Sanjay, 1995. "Comparing the Bias and Misspecification in ARFIMA Models," Economic Research Papers 268691, University of Warwick - Department of Economics.

    Cited by:

    1. Miguel Arranz & Francesc Marmol, 2001. "Out-of-sample forecast errors in misspecific perturbed long memory processes," Statistical Papers, Springer, vol. 42(4), pages 423-436, October.
    2. Giorgio Canarella & Stephen M Miller, 2017. "Inflation Persistence Before and After Inflation Targeting: A Fractional Integration Approach," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(1), pages 78-103, January.
    3. Leonardo Rocha Souza, 2007. "Temporal Aggregation and Bandwidth selection in estimating long memory," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(5), pages 701-722, September.
    4. Pérez, Ana & Ruiz Ortega, Esther, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. Estadística y Econometría. DS ds010101, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Gadea, Maria Dolores & Sabate, Marcela & Serrano, Jose Maria, 2004. "Structural breaks and their trace in the memory: Inflation rate series in the long-run," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 117-134, April.
    6. Giorgio Canarella & Stephen M. Miller, 2016. "Inflation Persistence and Structural Breaks: The Experience of Inflation Targeting Countries and the US," Working papers 2016-11, University of Connecticut, Department of Economics.
    7. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Long Memory in US Real Output per Capita," Discussion Papers of DIW Berlin 891, DIW Berlin, German Institute for Economic Research.
    8. Souza, Leonardo R. & Smith, Jeremy, 2004. "Effects of temporal aggregation on estimates and forecasts of fractionally integrated processes: a Monte-Carlo study," International Journal of Forecasting, Elsevier, vol. 20(3), pages 487-502.
    9. Onali, Enrico & Goddard, John, 2011. "Are European equity markets efficient? New evidence from fractal analysis," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 59-67, April.
    10. Benjamin J. C. Kim & David Karemera, 2006. "Assessing the forecasting accuracy of alternative nominal exchange rate models: the case of long memory," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 369-380.
    11. Shuping Shi & Jun Yu, 2023. "Volatility Puzzle: Long Memory or Antipersistency," Management Science, INFORMS, vol. 69(7), pages 3861-3883, July.
    12. Pong, Shiuyan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2004. "Forecasting currency volatility: A comparison of implied volatilities and AR(FI)MA models," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2541-2563, October.
    13. Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
    14. Goddard, John & Onali, Enrico, 2012. "Short and long memory in stock returns data," Economics Letters, Elsevier, vol. 117(1), pages 253-255.
    15. Rea, William & Oxley, Les & Reale, Marco & Brown, Jennifer, 2013. "Not all estimators are born equal: The empirical properties of some estimators of long memory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 29-42.
    16. Souza, Leonardo Rocha & Smith, Jeremy & Souza, Reinaldo Castro, 2003. "Convex combinations of long memory estimates from different sampling rates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 489, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    17. Silva, E.M. & Franco, G.C. & Reisen, V.A. & Cruz, F.R.B., 2006. "Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1002-1011, November.
    18. Beran, Jan & Ghosh, Sucharita & Schell, Dieter, 2009. "On least squares estimation for long-memory lattice processes," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2178-2194, November.
    19. Steven Clark & T. Coggin, 2011. "Are U.S. stock prices mean reverting? Some new tests using fractional integration models with overlapping data and structural breaks," Empirical Economics, Springer, vol. 40(2), pages 373-391, April.

  39. Smith, J. & Hagan, J., 1991. "Multivariate Cointegration and Error Correction Models: An Application to Manufactuting Activity in Australia," Papers 223, Australian National University - Department of Economics.

    Cited by:

    1. Dibooglu, Selahattin, 1993. "Multiple cointegration and structural models: applications to exchange rate determination," ISU General Staff Papers 1993010108000011419, Iowa State University, Department of Economics.

  40. McAleer, M. & Smith, J., 1990. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Papers 219, Australian National University - Department of Economics.

    Cited by:

    1. Kevin Lee & Kalvinder Shields, 2004. "Business survey forecasts and measurement of output trends in five European economies," Money Macro and Finance (MMF) Research Group Conference 2003 52, Money Macro and Finance Research Group.
    2. Tomislav Globan & Vladimir Arčabić & Petar Sorić, 2014. "Inflation in New EU Member States: A Domestically or Externally Driven Phenomenon?," EFZG Working Papers Series 1405, Faculty of Economics and Business, University of Zagreb.
    3. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    4. Tomasz Lyziak, 2010. "Measuring consumer inflation expectations in Europe and examining their forward-lookingness," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 155-201, Bank for International Settlements.
    5. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    8. Kalvinder Shields & Kevin Lee, 2004. "Overcoming Measurement Error Problems in the use of Survey Data on Expectations," Econometric Society 2004 Australasian Meetings 107, Econometric Society.
    9. Juan Gabriel Brida & Bibiana Lanzilotta & Lucía Rosich, 2019. "Common trends in producers’ expectations, the nonlinear linkage with Uruguayan GDP and its implications in economic growth forecasting," Documentos de Trabajo (working papers) 19-28, Instituto de Economía - IECON.
    10. Frijters, Paul & de New, John & Shields, Michael A., 2002. "Individual Rationality and Learning: Welfare Expectations in East Germany Post-Reunification," IZA Discussion Papers 498, Institute of Labor Economics (IZA).
    11. Troy D. Matheson & James Mitchell & Brian Silverstone, 2010. "Nowcasting and predicting data revisions using panel survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 313-330.
    12. James Mitchell & Richard J. Smith & Martin R. Weale, 2005. "Forecasting Manufacturing Output Growth Using Firm‐Level Survey Data," Manchester School, University of Manchester, vol. 73(4), pages 479-499, July.
    13. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    14. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    15. Ray Barrell, 1999. "Employment Security and European Labour Demand: A Panel Study Across 16 Industries," National Institute of Economic and Social Research (NIESR) Discussion Papers 148, National Institute of Economic and Social Research.
    16. Dr Martin Weale & Dr. James Mitchell, 2005. "Forecasting manufacturing output growth using firm-level survey data," National Institute of Economic and Social Research (NIESR) Discussion Papers 251, National Institute of Economic and Social Research.
    17. Ullrich, Katrin, 2008. "Inflation expectations of experts and ECB communication," The North American Journal of Economics and Finance, Elsevier, vol. 19(1), pages 93-108, March.
    18. Ciaran Driver & Katsushi Imai & Paul Temple & Giovanni Urga, 2002. "The Effect of Uncertainty on UK Investment Authorisation: Pooled Estimators vs. Heterogeneous Estimators1," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B3-4, International Conferences on Panel Data.
    19. Ciaran Driver & Paul Temple & Giovanni Urga, 2005. "Contrasts Between Classes of Assets in Fixed Investment Equations as a Way of Testing Real Option Theory," School of Economics Discussion Papers 0805, School of Economics, University of Surrey.
    20. Alexandros Botsis & Christoph Gortz & Plutarchos Sakellaris, 2023. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," Discussion Papers 23-06, Department of Economics, University of Birmingham.
    21. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
    22. Bibiana Lanzilotta Mernies, 2016. "Taxonomia y Dinamica de las Expectativas Economicas de los Empresarios Industriales en Uruguay. Un Analisis de Conglomerados," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 229-256, February.
    23. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    24. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    25. Thomas Maag, 2009. "On the accuracy of the probability method for quantifying beliefs about inflation," KOF Working papers 09-230, KOF Swiss Economic Institute, ETH Zurich.
    26. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    27. François Hild, 2006. "Un nouvel indicateur synthétique prenant en compte la dynamique des réponses individuelles à l'enquête Industrie," Économie et Statistique, Programme National Persée, vol. 395(1), pages 65-89.
    28. Maurizio Bovi, 2014. "Shocks and the Expectations Formation Process. A Tale of Two Expectations," Natural Field Experiments 00390, The Field Experiments Website.
    29. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
    30. Nolte, Ingmar & Pohlmeier, Winfried, 2007. "Using forecasts of forecasters to forecast," International Journal of Forecasting, Elsevier, vol. 23(1), pages 15-28.
    31. Paul Frijters & John P. Haisken-DeNew & Michael Shields, 2003. "How Well Do Individuals Predict Their Future Life Satisfaction? Rationality and Learning Following a Nationwide Exogenous Shock," CEPR Discussion Papers 468, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    32. Pierre L Siklos, 2010. "Relative Price Shocks, Inflation Expectations, and the Role of Monetary Policy," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    33. Driver, Ciaran & Muñoz-Bugarin, Jair, 2019. "Financial constraints on investment: Effects of firm size and the financial crisis," Research in International Business and Finance, Elsevier, vol. 47(C), pages 441-457.
    34. Tomasz Lyziak, 2010. "Measurement of perceived and expected inflation on the basis of consumer survey data," IFC Working Papers 5, Bank for International Settlements.
    35. Juan G Brida & Bibiana Lanzilotta & Lucia I Rosich, 2021. "On the empirical relations between producers expectations and economic growth," Economics Bulletin, AccessEcon, vol. 41(3), pages 1970-1982.
    36. Driver, Ciaran & Temple, Paul & Urga, Giovanni, 2008. "Real options -- delay vs. pre-emption: Do industrial characteristics matter?," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 532-545, March.
    37. James Mitchell & Richard J. Smith & Martin R. Weale, 2002. "Quantification of Qualitative Firm-Level Survey Data," Economic Journal, Royal Economic Society, vol. 112(478), pages 117-135, March.
    38. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    39. Lanzilotta M., Bibiana, 2014. "Expectations and industrial output in Uruguay: Sectoral interdependence and common trends," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    40. Maurizio Bovi, 2016. "The tale of two expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2677-2705, November.
    41. David Shepherd & Ciaran Driver, 2003. "Inflation and Capacity Constraints in Australian Manufacturing Industry," The Economic Record, The Economic Society of Australia, vol. 79(245), pages 182-195, June.
    42. Richard De Abreu Lourenco & Philip Lowe, 1994. "Demand Shocks, Inflation and the Business Cycle," RBA Research Discussion Papers rdp9411, Reserve Bank of Australia.
    43. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    44. Ivana Lolic & Petar Soric & Mirjana Cizmesija, 2017. "Disentangling the Relationship between News Media and Consumers' Inflation Sentiment: the Case of Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 221-249, June.
    45. Victor Bystrov & Anna Staszewska-Bystrova, 2010. "On the power of direct tests for rational expectations against the alternative of constant gain learning," Bank i Kredyt, Narodowy Bank Polski, vol. 41(6), pages 71-84.
    46. Enrico D’Elia, 2005. "Using the results of qualitative surveys in quantitative analysis," ISAE Working Papers 56, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    47. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    48. Bovi, Maurizio, 2013. "Are the representative agent’s beliefs based on efficient econometric models?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 633-648.
    49. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    50. Christian Mueller & Aniela Wirz & Nora Sydow, 2007. "A Note on the Carlson-Parkin Method of Quantifying Qualitative Data," KOF Working papers 07-168, KOF Swiss Economic Institute, ETH Zurich.
    51. Ciaran Driver & Giovanni Urga, 2004. "Transforming Qualitative Survey Data: Performance Comparisons for the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 71-89, February.
    52. Chris M. Alaouze, 2003. "A modified logit model for time series with an application to the pricing behaviour of manufacturing firms in Australia," Empirical Economics, Springer, vol. 28(3), pages 599-613, July.
    53. Alex Botsis & Kevin Lee, 2022. "Nowcasting Using Firm-Level Survey Data; Tracking UK Output Fluctuations and Recessionary Events," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-20, Economic Statistics Centre of Excellence (ESCoE).
    54. Vermeulen, Philip, 2014. "An evaluation of business survey indices for short-term forecasting: Balance method versus Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 30(4), pages 882-897.
    55. Santiago Pinto & Pierre-Daniel Sarte & Robert Sharp, 2020. "The Information Content and Statistical Properties of Diffusion Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 47-99, September.
    56. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    57. Kevin Lee & Kalvinder Shields, "undated". "Information, Business Survey Forecasts and Measurement of Output Trends in Six European Economies," Discussion Papers in European Economics 99/7, Division of Economics, School of Business, University of Leicester.

  41. Mcaleer, M. & Smith, J., 1990. "A Mote Carlo Comparison Of Ols,Iv,Fiml And Bootstrap Standard Errors In Linear Models With Generated Regressors," Papers 207, Australian National University - Department of Economics.

    Cited by:

    1. Smith, Jeremy & McAleer, Michael, 1995. "The performance of alternative estimators in models with generated regressors when the expectations equation has reduced explanatory power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 343-346.

  42. Smith, J. & Mcaleer, M., 1990. "On The Robustness Of Barro'S New Classical Unemployment Model," Papers 206, Australian National University - Department of Economics.

    Cited by:

    1. Massimo Massa & Andrei Simonov, 2009. "Experimentation in Financial Markets," Management Science, INFORMS, vol. 55(8), pages 1377-1390, August.
    2. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875, December.
    3. Couch, Robert & Wu, Wei, 2012. "Private investment and public equity returns," Journal of Economics and Business, Elsevier, vol. 64(2), pages 160-184.
    4. Massa, Massimo & Simonov, Andrei, 2005. "Is learning a dimension of risk?," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2605-2632, October.
    5. McAleer, Michael & Smith, Jeremy, 1992. "Bootstrap estimates of a new classical model of unemployment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 545-550.

  43. Jeremy Smith & David W.R. Gruen, 1989. "A Random Walk Around the $A: Expectations, Risk, Interest Rates and Consequences for External Imbalance," RBA Research Discussion Papers rdp8906, Reserve Bank of Australia.

    Cited by:

    1. Alison Tarditi & Gordon Menzies, 1991. "Monthly Movements in the Australian Dollar and Real Short-term Interest Differentials: An Application of the Kalman Filter," RBA Research Discussion Papers rdp9111, Reserve Bank of Australia.
    2. Alison Tarditi, 1996. "Modelling the Australian Exchange Rate, Long Bond Yield and Inflationary Expectations," RBA Research Discussion Papers rdp9608, Reserve Bank of Australia.
    3. Anthony J. Richards, 1991. "The Cost of Equity Capital in Australia: What Can We Learn from International Equity Returns?," RBA Research Discussion Papers rdp9107, Reserve Bank of Australia.
    4. Wright, Robert S. & Gilmour, Karen & Matthews, Lynette & O'Mara, L. Paul, 1991. "Some Implications of Microeconomic Reform for the Macroeconomy and the Commodities Sector," 1991 Conference (35th), February 11-14, 1991, Armidale, Australia 145716, Australian Agricultural and Resource Economics Society.
    5. Asraul Hoque, 1995. "Co-integrating relationship between terms of trade and current account deficit: the Australian evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 2(4), pages 130-133.
    6. M. K. Lewis & M. Polasek, 1990. "Whither the Balance of Payments?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 23(3), pages 5-16, September.
    7. Kenneth F. Wallis, 1993. "On Macroeconomic Policy and Macroeconometric Models," The Economic Record, The Economic Society of Australia, vol. 69(2), pages 113-130, June.
    8. David W. R. Gruen & Jeremy Smith, 1994. "Excess Returns in a Small Open Economy," The Economic Record, The Economic Society of Australia, vol. 70(211), pages 381-396, December.
    9. David W.R. Gruen & Gordon D. Menzies, 1991. "The Failure of Uncovered Interest Parity: Is it Near-rationality in the Foreign Exchange Market?," RBA Research Discussion Papers rdp9103, Reserve Bank of Australia.
    10. K.F. Wallis, 1992. "On Macroeconomic Policy and Macroeconomic Modeling," Economics Discussion / Working Papers 92-04, The University of Western Australia, Department of Economics.
    11. Alesina, A. & Gruen, D.W.R. & Jones, M.T., 1990. "Fiscal Adjustment, The Real Exchange Rate And Australian'S External Imbalance," CEPR Discussion Papers 233, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    12. David W.R. Gruen, 1991. "The Effect of Steady Inflation on Interest Rates and the Real Exchange Rate in a World with Free Capital Flows," RBA Research Discussion Papers rdp9101, Reserve Bank of Australia.
    13. Joanne Copp & Robert Brooks, 1999. "Variance ratio testing of the Australian forward foreign exchange market," Applied Economics Letters, Taylor & Francis Journals, vol. 6(7), pages 417-419.
    14. Gruen, D.W.R. & Gizycki, M.C., 1993. "Explaining Forward Discount Bias: Is It Anchoring?," Papers 164, Princeton, Woodrow Wilson School - Public and International Affairs.
    15. Douglas, Justin J. & Bartley, Scott W., 1997. "Risk premia in Australian interest rates," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 41(2), pages 1-35.

  44. Otero, Jesus & Smith, Jeremy, 1966. "The Effects Of Seasonal Adjustment Linear Filters On Cointegrating Equations: A Monte Carlo Investigation," Economic Research Papers 272847, University of Warwick - Department of Economics.

    Cited by:

    1. Diego Winkelried Quezada, 2003. "Indicadores adelantados de la inflación en el Perú," Monetaria, CEMLA, vol. 0(4), pages 345-382, octubre-d.
    2. Héctor A. Valle S., 2003. "Pronósticos de inflación para Guatemala hechos con modelos ARIMA y VAR," Monetaria, CEMLA, vol. 0(4), pages 407-428, octubre-d.
    3. Gianluca Cubadda, 1999. "Common cycles in seasonal non‐stationary time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 273-291, May.
    4. Claudia Arguedas & Jorge Requena, 2003. "La dolarización en Bolivia: una estimación de la elasticidad de sustitución entre monedas," Monetaria, CEMLA, vol. 0(4), pages 383-406, octubre-d.
    5. Jesús R. González García, 2003. "La dinámica del consumo privado en México: un análisis de cointegración con cambios de régimen," Monetaria, CEMLA, vol. 0(4), pages 429-449, octubre-d.

Articles

  1. Jesús Otero & Jeremy Smith, 2017. "Response surface models for OLS and GLS detrending-based unit-root tests in nonlinear ESTAR models," Stata Journal, StataCorp LP, vol. 17(3), pages 704-722, September.

    Cited by:

    1. Mishra, Bibhuti Ranjan & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Shahbaz, Muhammad, 2019. "The dynamic causality between gold and silver prices in India: Evidence using time-varying and non-linear approaches," Resources Policy, Elsevier, vol. 62(C), pages 66-76.
    2. Clement Olalekan Olaniyi & James Temitope Dada & Nicholas Mbaya Odhiambo & Xuan Vinh Vo, 2023. "Modelling asymmetric structure in the finance-poverty nexus: empirical insights from an emerging market economy," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 453-487, February.
    3. Huthaifa Alqaralleh & Ahmad Al-Majali & Abeer Alsarayrh, 2021. "Analyzing the Dynamics Between Macroeconomic Variables and the Stock Indexes of Emerging Markets, Using Non-linear Methods," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 193-204, May.
    4. Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
    5. Christopher A. Hartwell, 2021. "Market Behavior in the Face of Political Violence: Evidence from Tsarist Russia," JRFM, MDPI, vol. 14(9), pages 1-13, September.
    6. Dulal Chandra Pattak & Farian Tahrim & Mahdi Salehi & Liton Chandra Voumik & Salma Akter & Mohammad Ridwan & Beata Sadowska & Grzegorz Zimon, 2023. "The Driving Factors of Italy’s CO 2 Emissions Based on the STIRPAT Model: ARDL, FMOLS, DOLS, and CCR Approaches," Energies, MDPI, vol. 16(15), pages 1-21, August.

  2. Robin Naylor & Jeremy Smith & Shqiponja Telhaj, 2016. "Graduate returns, degree class premia and higher education expansion in the UK," Oxford Economic Papers, Oxford University Press, vol. 68(2), pages 525-545.
    See citations under working paper version above.
  3. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2015. "The Measurement and Characteristics of Professional Forecasters' Uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1029-1046, November.

    Cited by:

    1. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.
    2. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    3. Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
    4. Nakazono, Yoshiyuki & Koga, Maiko & Sugo, Tomohiro, 2020. "Private information and analyst coverage: Evidence from firm survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 284-298.
    5. Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
    6. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    7. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    8. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    9. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    10. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    11. Knüppel, Malte, 2014. "Forecast-error-based estimation of forecast uncertainty when the horizon is increased," Discussion Papers 40/2014, Deutsche Bundesbank.
    12. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    13. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    14. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    15. Pedersen, Michael, 2019. "Anomalies in macroeconomic prediction errors–evidence from Chilean private forecasters," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1100-1107.
    16. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    17. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    18. Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
    19. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    20. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    21. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    22. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    23. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.

  4. Jesús Otero & Jeremy Smith, 2013. "Response Surface Estimates of the Cross-Sectionally Augmented IPS Tests for Panel Unit Roots," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 1-9, January.

    Cited by:

    1. Holmes, Mark J. & Otero, Jesús & Panagiotidis, Theodore, 2013. "Modelling the behaviour of unemployment rates in the US over time and across space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5711-5722.
    2. Herzer, Dierk, 2015. "The long-run effect of foreign direct investment on total factor productivity in developing countries: A panel cointegration analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112827, Verein für Socialpolitik / German Economic Association.
    3. Herzer, Dierk & Strulik, Holger, 2013. "Religiosity and income: A panel cointegration and causality analysis," University of Göttingen Working Papers in Economics 168, University of Goettingen, Department of Economics.
    4. Herzer, Dierk, 2014. "The long-run relationship between trade and population health: evidence from five decades," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100441, Verein für Socialpolitik / German Economic Association.
    5. Dierk Herzer, 2019. "The long-run effect of aid on health: evidence from panel cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 51(12), pages 1319-1338, March.
    6. Mark J. Holmes & Jesús Otero, 2022. "The wage curve within and across regions: new insights from a pairwise view of US states," Empirical Economics, Springer, vol. 62(5), pages 2069-2089, May.

  5. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy, 2012. "Am I missing something? The effects of absence from class on student performance," Economics of Education Review, Elsevier, vol. 31(4), pages 363-375.
    See citations under working paper version above.
  6. Jesús Otero & Jeremy Smith, 2012. "Response surface models for the Leybourne unit root tests and lag order dependence," Computational Statistics, Springer, vol. 27(3), pages 473-486, September.

    Cited by:

    1. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2016. "Climbing the property ladder: An analysis of market integration in London property prices," Working Paper series 16-30, Rimini Centre for Economic Analysis.
    2. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    3. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2017. "A Pair-wise Analysis of Intra-city Price Convergence Within the Paris Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 54(1), pages 1-16, January.
    4. Otero, Jesús & Argüello, Ricardo & Oviedo, Juan Daniel & Ramírez, Manuel, 2018. "Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach," Economic Modelling, Elsevier, vol. 72(C), pages 190-201.
    5. Richard T. Baillie & Kun Ho Kim, 2015. "Local Deviations from Uncovered Interest Parity: The Role of Macroeconomic Fundamentals," Working Paper series 15-43, Rimini Centre for Economic Analysis.
    6. Mark J. Holmes & Ana Maria Iregui & Jesús Otero, 2015. "Interest Rate Pass-Through and Asymmetries in Retail Deposit and Lending Rates: An Analysis using Data from Colombian Banks," Working Papers in Economics 15/05, University of Waikato.
    7. Núñez, Héctor M. & Trujillo-Barrera, Andres & Etienne, Xiaoli, 2022. "Declining integration in the US natural gas market," Resources Policy, Elsevier, vol. 78(C).
    8. Mark Holmes & Jesus Otero & Theodore Panagiotidis, 2015. "The Expectations Hypothesis and Decoupling of Short- and Long-Term US Interest Rates: A Pairwise Approach," Working Paper series 15-31, Rimini Centre for Economic Analysis.
    9. Cárdenas, Jeisson & Gutiérrez, Luis H. & Otero, Jesús, 2017. "Investigating diesel market integration in France: Evidence from micro data," Energy Economics, Elsevier, vol. 63(C), pages 314-321.
    10. Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
    11. Hector M. Nuñez and Jesús Otero, 2017. "Integration in Gasoline and Ethanol Markets in Brazil over Time and Space under the Flex-fuel Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    12. Nazlioglu, Saban & Lee, Junsoo, 2020. "Response surface estimates of the LM unit root tests," Economics Letters, Elsevier, vol. 192(C).

  7. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.

    Cited by:

    1. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    2. Jan-Egbert Sturm & Jakob Haan, 2011. "Does central bank communication really lead to better forecasts of policy decisions? New evidence based on a Taylor rule model for the ECB," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 41-58, April.
    3. Rosa, Carlo, 2011. "Words that shake traders," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 915-934.
    4. Corona Francisco & Wiper Michael Peter & Horrillo Juan de Dios Tena, 2017. "On the importance of the probabilistic model in identifying the most decisive games in a tournament," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(1), pages 11-23, March.
    5. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
    6. David Harris & Gael M. Martin & Indeewara Perera & Don S. Poskitt, 2017. "Construction and visualization of optimal confidence sets for frequentist distributional forecasts," Monash Econometrics and Business Statistics Working Papers 9/17, Monash University, Department of Econometrics and Business Statistics.
    7. Michael K. Adjemian & Valentina G. Bruno & Michel A. Robe, 2020. "Incorporating Uncertainty into USDA Commodity Price Forecasts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 696-712, March.
    8. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    9. Berg, Tim Oliver & Henzel, Steffen, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79783, Verein für Socialpolitik / German Economic Association.
    10. Dr. Gregor Bäurle & Elizabeth Steiner & Dr. Gabriel Züllig, 2018. "Forecasting the production side of GDP," Working Papers 2018-16, Swiss National Bank.
    11. Constandina Koki & Loukia Meligkotsidou & Ioannis Vrontos, 2020. "Forecasting under model uncertainty: Non‐homogeneous hidden Markov models with Pòlya‐Gamma data augmentation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 580-598, July.
    12. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    13. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    14. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    15. Kannika Duangnate & James W. Mjelde, 2020. "Prequential forecasting in the presence of structure breaks in natural gas spot markets," Empirical Economics, Springer, vol. 59(5), pages 2363-2384, November.
    16. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    17. BAN Kanemi & KAWAGOE Masaaki & MATSUOKA Hideaki, 2013. "Evaluating Density Forecasts with Applications to ESPF," ESRI Discussion paper series 302, Economic and Social Research Institute (ESRI).
    18. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "What is the Predictive Value of SPF Point and Density Forecasts?," Working Papers 22-37, Federal Reserve Bank of Cleveland.
    19. Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
    20. Tsyplakov, Alexander, 2014. "Theoretical guidelines for a partially informed forecast examiner," MPRA Paper 55017, University Library of Munich, Germany.
    21. Tim Oliver Berg & Steffen Henzel, 2014. "Point and Density Forecasts for the Euro Area Using Bayesian VARs," CESifo Working Paper Series 4711, CESifo.

  8. Jeremy Smith & Kenneth F. Wallis, 2009. "A Simple Explanation of the Forecast Combination Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 331-355, June.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    3. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Eric Hillebrand & Huiyu Huang & Tae-Hwy Lee & Canlin Li, 2018. "Using the Entire Yield Curve in Forecasting Output and Inflation," Econometrics, MDPI, vol. 6(3), pages 1-27, August.
    5. Tae-Hwy Lee & Ekaterina Seregina, 2022. "Combining Forecasts under Structural Breaks Using Graphical LASSO," Papers 2209.01697, arXiv.org, revised Sep 2023.
    6. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    7. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    8. Benjamin Avanzi & Yanfeng Li & Bernard Wong & Alan Xian, 2022. "Ensemble distributional forecasting for insurance loss reserving," Papers 2206.08541, arXiv.org, revised Feb 2024.
    9. Li Li & Yanfei Kang & Feng Li, 2021. "Bayesian forecast combination using time-varying features," Papers 2108.02082, arXiv.org, revised Jun 2022.
    10. Valentina Corradi & Norman Swanson, 2013. "A Survey of Recent Advances in Forecast Accuracy Comparison Testing, with an Extension to Stochastic Dominance," Departmental Working Papers 201309, Rutgers University, Department of Economics.
    11. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    12. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    13. Racine Ly & Fousseini Traore & Khadim Dia, 2021. "Forecasting Commodity Prices Using Long Short-Term Memory Neural Networks," Papers 2101.03087, arXiv.org, revised Jan 2021.
    14. Blanc, Sebastian M. & Setzer, Thomas, 2016. "When to choose the simple average in forecast combination," Journal of Business Research, Elsevier, vol. 69(10), pages 3951-3962.
    15. Roccazzella, Francesco & Gambetti, Paolo & Vrins, Frédéric, 2021. "Optimal and robust combination of forecasts via constrained optimization and shrinkage," LIDAM Reprints LFIN 2021014, Université catholique de Louvain, Louvain Finance (LFIN).
    16. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    17. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    18. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    19. Li Li & Yanfei Kang & Fotios Petropoulos & Feng Li, 2022. "Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications," Papers 2204.08283, arXiv.org, revised Aug 2022.
    20. Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
    21. Gerda Claeskens & Jan Magnus & Andrey Vasnev & Wendun Wang, 2016. "The forecast combination puzzle: a simple theoretical explanation," Working Papers of Department of Decision Sciences and Information Management, Leuven 532152, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    22. Tao Lin & Yiling Chen, 2022. "Sample Complexity of Forecast Aggregation," Papers 2207.13126, arXiv.org, revised Oct 2023.
    23. 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.
    24. Cotter, John & Eyiah-Donkor, Emmanuel & Potì, Valerio, 2023. "Commodity futures return predictability and intertemporal asset pricing," Journal of Commodity Markets, Elsevier, vol. 31(C).
    25. Pritularga, Kandrika F. & Svetunkov, Ivan & Kourentzes, Nikolaos, 2021. "Stochastic coherency in forecast reconciliation," International Journal of Production Economics, Elsevier, vol. 240(C).
    26. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    27. Nikolaos Kourentzes & George Athanasopoulos, 2018. "Cross-temporal coherent forecasts for Australian tourism," Monash Econometrics and Business Statistics Working Papers 24/18, Monash University, Department of Econometrics and Business Statistics.
    28. Graziano Moramarco, 2021. "Financial-cycle ratios and medium-term predictions of GDP: Evidence from the United States," Papers 2111.00822, arXiv.org, revised Jan 2024.
    29. Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
    30. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    31. Todd E. Clark & Michael W. McCracken, 2009. "Combining Forecasts from Nested Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 303-329, June.
    32. Strand, Jon & Carson, Richard T. & Navrud, Stale & Ortiz-Bobea, Ariel & Vincent, Jeffrey R., 2017. "Using the Delphi method to value protection of the Amazon rainforest," Ecological Economics, Elsevier, vol. 131(C), pages 475-484.
    33. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    34. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    35. Clements, Adam & Vasnev, Andrey, 2021. "Forecast combination puzzle in the HAR model," Working Papers BAWP-2021-01, University of Sydney Business School, Discipline of Business Analytics.
    36. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2012. "Is there an Optimal Forecast Combination? A Stochastic Dominance Approach to Forecast Combination Puzzle," Working Paper series 17_12, Rimini Centre for Economic Analysis.
    37. Seojeong Lee & Youngki Shin, 2021. "Complete subset averaging with many instruments," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 290-314.
    38. Graham Elliott, 2017. "Forecast combination when outcomes are difficult to predict," Empirical Economics, Springer, vol. 53(1), pages 7-20, August.
    39. Anthony Garratt & James Mitchell & Shaun P. Vahey & Elizabeth C. Wakerly, 2010. "Real-time Inflation Forecast Densities from Ensemble Phillips Curves," CAMA Working Papers 2010-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    40. Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
    41. Honghai Yu & Xianfeng Hao & Liangyu Wu & Yuqi Zhao & Yudong Wang, 2023. "Eye in outer space: satellite imageries of container ports can predict world stock returns," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    42. Yongchen Zhao, 2021. "The robustness of forecast combination in unstable environments: a Monte Carlo study of advanced algorithms," Empirical Economics, Springer, vol. 61(1), pages 173-199, July.
    43. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    44. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    45. Christopher G. Gibbs, 2017. "Forecast combination, non-linear dynamics, and the macroeconomy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(3), pages 653-686, March.
    46. Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
    47. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    48. Montero-Manso, Pablo & Athanasopoulos, George & Hyndman, Rob J. & Talagala, Thiyanga S., 2020. "FFORMA: Feature-based forecast model averaging," International Journal of Forecasting, Elsevier, vol. 36(1), pages 86-92.
    49. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2012. "Forecasting UK GDP growth, inflation and interest rates under structural change: a comparison of models with time-varying parameters," Bank of England working papers 450, Bank of England.
    50. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    51. Chiang, I-Hsuan Ethan & Liao, Yin & Zhou, Qing, 2021. "Modeling the cross-section of stock returns using sensible models in a model pool," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 56-73.
    52. Matsypura, Dmytro & Thompson, Ryan & Vasnev, Andrey L., 2018. "Optimal selection of expert forecasts with integer programming," Omega, Elsevier, vol. 78(C), pages 165-175.
    53. Graefe, Andreas & Küchenhoff, Helmut & Stierle, Veronika & Riedl, Bernhard, 2015. "Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems," International Journal of Forecasting, Elsevier, vol. 31(3), pages 943-951.
    54. Kang, Yanfei & Cao, Wei & Petropoulos, Fotios & Li, Feng, 2022. "Forecast with forecasts: Diversity matters," European Journal of Operational Research, Elsevier, vol. 301(1), pages 180-190.
    55. Huiyu Huang & Tae-Hwy Lee, 2010. "To Combine Forecasts or to Combine Information?," Econometric Reviews, Taylor & Francis Journals, vol. 29(5-6), pages 534-570.
    56. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    57. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    58. Mitchell, James, 2013. "The Recalibrated and Copula Opinion Pools," EMF Research Papers 02, Economic Modelling and Forecasting Group.
    59. Yongchen Zhao, 2015. "Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms," Working Papers 2015-04, Towson University, Department of Economics, revised Mar 2020.
    60. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip & Etienne, Xiaoli, 2012. "Composite and Outlook Forecast Accuracy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-19, August.
    61. Pauwels, Laurent L. & Vasnev, Andrey L., 2016. "A note on the estimation of optimal weights for density forecast combinations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 391-397.
    62. Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
    63. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    64. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
    65. Mirakyan, Atom & Meyer-Renschhausen, Martin & Koch, Andreas, 2017. "Composite forecasting approach, application for next-day electricity price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 228-237.
    66. Jiun-Hua Su, 2021. "No-Regret Forecasting with Egalitarian Committees," Papers 2109.13801, arXiv.org.
    67. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
    68. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
    69. Buncic, Daniel & Piras, Gion Donat, 2016. "Heterogeneous agents, the financial crisis and exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
    70. Adam Clements & Mark Bernard Doolan, 2020. "Combining multivariate volatility forecasts using weighted losses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 628-641, July.
    71. Francis X. Diebold & Minchul Shin, 2017. "Beating the Simple Average: Egalitarian LASSO for Combining Economic Forecasts," PIER Working Paper Archive 17-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Aug 2017.
    72. Dimpfl, Thomas & Peter, Franziska J., 2018. "Analyzing volatility transmission using group transfer entropy," Energy Economics, Elsevier, vol. 75(C), pages 368-376.
    73. Mahmut Gunay, 2016. "Forecasting Turkish GDP Growth with Financial Variables and Confidence Indicators," CBT Research Notes in Economics 1614, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    74. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
    75. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    76. Simone Arrigoni & Alina Bobasu & Fabrizio Venditti, 2022. "Measuring Financial Conditions using Equal Weights Combination," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 668-697, December.
    77. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    78. Geoff Kenny, 2010. "Macroeconomic forecasting: can forecast combination help?," Research Bulletin, European Central Bank, vol. 11, pages 9-12.
    79. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    80. Frédérique Bec & Matteo Mogliani, 2013. "Nowcasting French GDP in Real-Time from Survey Opinions : Information or Forecast Combinations ?," Working Papers 2013-21, Center for Research in Economics and Statistics.
    81. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
    82. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
    83. Li Liu & Yudong Wang, 2021. "Forecasting aggregate market volatility: The role of good and bad uncertainties," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 40-61, January.
    84. Jakub Nowotarski & Eran Raviv & Stefan Trueck & Rafal Weron, 2013. "An empirical comparison of alternate schemes for combining electricity spot price forecasts," HSC Research Reports HSC/13/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    85. Krüger Fabian & Pohlmeier Winfried & Mokinski Frieder, 2011. "Combining Survey Forecasts and Time Series Models: The Case of the Euribor," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 63-81, February.
    86. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    87. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    88. Qiu, Yue & Zheng, Yuchen, 2023. "Improving box office projections through sentiment analysis: Insights from regularization-based forecast combinations," Economic Modelling, Elsevier, vol. 125(C).
    89. Pysarenko, Sergiy & Alexeev, Vitali & Tapon, Francis, 2019. "Predictive blends: Fundamental Indexing meets Markowitz," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 28-42.
    90. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    91. Kathryn S Taylor & James W Taylor, 2022. "Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-25, March.
    92. Tae-Hwy Lee & Ekaterina Seregina, 2020. "Learning from Forecast Errors: A New Approach to Forecast Combinations," Papers 2011.02077, arXiv.org, revised May 2021.
    93. Ramaharo, Franck M. & Rasolofomanana, Gerzhino H., 2023. "Nowcasting Madagascar's real GDP using machine learning algorithms," MPRA Paper 119574, University Library of Munich, Germany.
    94. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    95. Post, Thierry & Karabatı, Selçuk & Arvanitis, Stelios, 2019. "Robust optimization of forecast combinations," International Journal of Forecasting, Elsevier, vol. 35(3), pages 910-926.
    96. Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
    97. Nima Zarrabi & Stuart Snaith & Jerry Coakley, 2022. "Exchange rate forecasting using economic models and technical trading rules," The European Journal of Finance, Taylor & Francis Journals, vol. 28(10), pages 997-1018, July.
    98. Diebold, Francis X. & Shin, Minchul, 2019. "Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
    99. Zvi Schwartz & Timothy Webb & Jean-Pierre I van der Rest & Larissa Koupriouchina, 2021. "Enhancing the accuracy of revenue management system forecasts: The impact of machine and human learning on the effectiveness of hotel occupancy forecast combinations across multiple forecasting horizo," Tourism Economics, , vol. 27(2), pages 273-291, March.
    100. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    101. Schanbacher Peter, 2015. "Averaging Across Asset Allocation Models," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(1), pages 61-81, February.
    102. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    103. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    104. David T. Frazier & Ryan Covey & Gael M. Martin & Donald Poskitt, 2023. "Solving the Forecast Combination Puzzle," Papers 2308.05263, arXiv.org.
    105. Avci, Ezgi & Ketter, Wolfgang & van Heck, Eric, 2018. "Managing electricity price modeling risk via ensemble forecasting: The case of Turkey," Energy Policy, Elsevier, vol. 123(C), pages 390-403.
    106. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2015. "On the Forecast Combination Puzzle," Papers 1505.00475, arXiv.org.
    107. Radchenko, Peter & Vasnev, Andrey L. & Wang, Wendun, 2023. "Too similar to combine? On negative weights in forecast combination," International Journal of Forecasting, Elsevier, vol. 39(1), pages 18-38.
    108. Gianni Amisano & Andreas Beyer & Michele Lenza, 2010. "Enhancing monetary analysis," Research Bulletin, European Central Bank, vol. 11, pages 2-6.
    109. Antonio Martin Arroyo & Aranzazu de Juan Fernandez, 2020. "Split-then-Combine simplex combination and selection of forecasters," Papers 2012.11935, arXiv.org.
    110. Daud Ali Aser & Esin Firuzan, 2022. "Improving Forecast Accuracy Using Combined Forecasts with Regard to Structural Breaks and ARCH Innovations," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(37), pages 1-25, December.
    111. Chan, Felix & Pauwels, Laurent L., 2018. "Some theoretical results on forecast combinations," International Journal of Forecasting, Elsevier, vol. 34(1), pages 64-74.
    112. Lu, Xinjie & Ma, Feng & Xu, Jin & Zhang, Zehui, 2022. "Oil futures volatility predictability: New evidence based on machine learning models11All the authors contribute to the paper equally," International Review of Financial Analysis, Elsevier, vol. 83(C).
    113. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
    114. Chanont Banternghansa & Michael W. McCracken, 2010. "Real-time forecast averaging with ALFRED," Working Papers 2010-033, Federal Reserve Bank of St. Louis.
    115. Karsten R. Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Evaluating ensemble density combination - forecasting GDP and inflation," Working Paper 2009/19, Norges Bank.
    116. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis," Papers 2010.09477, arXiv.org, revised Aug 2022.
    117. Tsvetomira Tsenova, 2015. "Are Long-Term Inflation Expectations Well-Anchored? Evidence From The Euro Area And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 67(1), pages 65-82, January.
    118. Martin Scheicher, 2010. "“Return-free risk”? Market pricing in credit risk markets," Research Bulletin, European Central Bank, vol. 11, pages 7-8.
    119. Seojeong Lee & Youngki Shin, 2018. "Optimal Estimation with Complete Subsets of Instruments," Department of Economics Working Papers 2018-15, McMaster University.
    120. Kourentzes, Nikolaos & Barrow, Devon & Petropoulos, Fotios, 2019. "Another look at forecast selection and combination: Evidence from forecast pooling," International Journal of Production Economics, Elsevier, vol. 209(C), pages 226-235.
    121. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    122. Eraslan, Sercan & Nöller, Marvin, 2020. "Recession probabilities falling from the STARs," Discussion Papers 08/2020, Deutsche Bundesbank.
    123. Greenaway-McGrevy, Ryan, 2022. "Forecast combination for VARs in large N and T panels," International Journal of Forecasting, Elsevier, vol. 38(1), pages 142-164.
    124. Poncela, Pilar & Guerrero, Víctor & Islas C., Alejandro & Rodríguez, Julio & Sánchez-Mangas, Rocío, 2014. "Mexico: Combining monthly inflation predictions from surveys," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    125. Christopher G. Gibbs, 2015. "Overcoming the Forecast Combination Puzzle: Lessons from the Time-Varying Effciency of Phillips Curve Forecasts of U.S. Inflation," Discussion Papers 2015-09, School of Economics, The University of New South Wales.
    126. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    127. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
    128. Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.
    129. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    130. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    131. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    132. Sebastian M. Blanc & Thomas Setzer, 2020. "Bias–Variance Trade-Off and Shrinkage of Weights in Forecast Combination," Management Science, INFORMS, vol. 66(12), pages 5720-5737, December.
    133. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    134. Kira Alhorn & Holger Dette & Kirsten Schorning, 2021. "Optimal Designs for Model Averaging in non-nested Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 745-778, August.
    135. Mihaela Simionescu, 2015. "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(3), pages 274-286.

  9. Gianna Boero & Jeremy Smith & KennethF. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.
    See citations under working paper version above.
  10. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.

    Cited by:

    1. Michael K Andersson & Ted Aranki & André Reslow, 2017. "Adjusting for information content when comparing forecast performance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 784-794, November.
    2. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
    3. Bovi, Maurizio, 2009. "Economic versus psychological forecasting. Evidence from consumer confidence surveys," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 563-574, August.
    4. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    5. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    6. Matei Demetrescu & Mu-Chun Wang, 2014. "Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 287-297, April.
    7. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.
    8. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    9. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    10. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    11. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465, April.
    12. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," Post-Print hal-03399242, HAL.
    13. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    14. Haberis, Alex & Masolo, Riccardo & Reinold, Kate, 2016. "Deflation probability and the scope for monetary loosening in the United Kingdom," Bank of England working papers 627, Bank of England.
    15. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," Macroeconomics and Finance Series 201201, University of Hamburg, Department of Socioeconomics.
    16. Klein, Tony, 2022. "Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 264-286.

  11. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Here is the news: forecast revisions in the Bank of England survey of external forecasters," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 68-77, January.

    Cited by:

    1. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
    2. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
    3. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.
    4. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465, April.
    5. Tsvetomira Tsenova, 2015. "Are Long-Term Inflation Expectations Well-Anchored? Evidence From The Euro Area And The United States," Bulletin of Economic Research, Wiley Blackwell, vol. 67(1), pages 65-82, January.
    6. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.

  12. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters," Economic Journal, Royal Economic Society, vol. 118(530), pages 1107-1127, July.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Timur Hulagu & Saygin Sahinoz, 2012. "Is Disagreement a Good Proxy for Inflation Uncertainty? Evidence from Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 12(1), pages 53-62.
    3. Marfatia, Hardik A., 2015. "Monetary policy's time-varying impact on the US bond markets: Role of financial stress and risks," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 103-123.
    4. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    5. Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
    6. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Smietanka, Pawel & Bloom, Nicholas & Mizen, Paul, 2018. "Business investment, cash holding and uncertainty since the Great Financial Crisis," Bank of England working papers 753, Bank of England.
    8. Ganwen Zheng & Songping Zhu, 2021. "Research on the Effectiveness of China’s Macro Control Policy on Output and Technological Progress under Economic Policy Uncertainty," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    9. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," Working Papers hal-04141344, HAL.
    10. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    11. Klodiana Istrefi & Sarah Mouabbi, 2017. "Subjective interest rate uncertainty and the macroeconomy : a cross-country analysis," Rue de la Banque, Banque de France, issue 48, september.
    12. Paul Söderlind, 2011. "Inflation Risk Premia and Survey Evidence on Macroeconomic Uncertainty," International Journal of Central Banking, International Journal of Central Banking, vol. 7(2), pages 113-133, June.
    13. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    14. Richhild Moessner & Feng Zhu & Colin Ellis, 2011. "Measuring disagreement in UK consumer and central bank inflation forecasts," BIS Working Papers 339, Bank for International Settlements.
    15. Schultefrankenfeld Guido, 2013. "Forecast uncertainty and the Bank of England’s interest rate decisions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 1-20, February.
    16. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    17. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    18. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    19. Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
    20. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2020. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Working Papers 688, DNB.
    21. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    22. Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
    23. Sébastien Fries & Jean‐Stéphane Mésonnier & Sarah Mouabbi & Jean‐Paul Renne, 2018. "National natural rates of interest and the single monetary policy in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 763-779, September.
    24. Maxime Phillot & Dr. Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.
    25. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    26. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    27. Montes, Gabriel Caldas & Nicolay, Rodolfo Tomás da Fonseca & Acar, Tatiana, 2019. "Do fiscal communication and clarity of fiscal announcements affect public debt uncertainty? Evidence from Brazil," Journal of Economics and Business, Elsevier, vol. 103(C), pages 38-60.
    28. Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
    29. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2014. "Inflation uncertainty revisited: a proposal for robust measurement," Empirical Economics, Springer, vol. 47(4), pages 1497-1523, December.
    30. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.
    31. Gauvin, Ludovic & McLoughlin, Cameron & Reinhardt, Dennis, 2014. "Policy uncertainty spillovers to emerging markets – evidence from capital flows," Bank of England working papers 512, Bank of England.
    32. Philippe Andrade & Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2013. "Fundamental disagreement," Staff Reports 655, Federal Reserve Bank of New York.
    33. Maritta Paloviita & Matti Viren, 2014. "Inflation and output growth uncertainty in individual survey expectations," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 69-81, February.
    34. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    35. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145888, Verein für Socialpolitik / German Economic Association.
    36. Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021. "Does judgment improve macroeconomic density forecasts?," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1247-1260.
    37. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    38. Esady, Vania, 2022. "Real and nominal effects of monetary shocks under time-varying disagreement," Bank of England working papers 1007, Bank of England.
    39. David Iselin & Andreas Dibiasi, 2019. "Measuring Knightian Uncertainty," KOF Working papers 19-456, KOF Swiss Economic Institute, ETH Zurich.
    40. Liu, Yang & Sheng, Xuguang Simon, 2019. "The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 967-979.
    41. Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
    42. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    43. Montes, Gabriel Caldas & Luna, Paulo Henrique, 2018. "Discretionary fiscal policy and disagreement in expectations about fiscal variables empirical evidence from Brazil," Economic Modelling, Elsevier, vol. 73(C), pages 100-116.
    44. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    45. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    46. Kang, Wensheng & Lee, Kiseok & Ratti, Ronald A., 2014. "Economic policy uncertainty and firm-level investment," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 42-53.
    47. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    48. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    49. Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022. "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports 1025, Federal Reserve Bank of New York.
    50. Montes, Gabriel Caldas & Acar, Tatiana, 2020. "Fiscal credibility, target revisions and disagreement in expectations about fiscal results," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 38-58.
    51. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    52. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of CentER DP 2011-053)," Other publications TiSEM 38fac5ce-fe8f-4b61-a679-f, Tilburg University, School of Economics and Management.
    53. Joshua C C Chan & Yong Song, 2017. "Measuring inflation expectations uncertainty using high-frequency data," CAMA Working Papers 2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    54. Casey, Eddie, 2020. "Do macroeconomic forecasters use macroeconomics to forecast?," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1439-1453.
    55. Adra, Samer & Barbopoulos, Leonidas G. & Saunders, Anthony, 2020. "The impact of monetary policy on M&A outcomes," Journal of Corporate Finance, Elsevier, vol. 62(C).
    56. Carola Conces Binder, 2021. "Central Bank Communication and Disagreement about the Natural Rate Hypothesis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 81-123, June.
    57. Macallan, Clare & Taylor, Tim & O'Grady, Tom, 2011. "Assessing the risk to inflation from inflation expectations," Bank of England Quarterly Bulletin, Bank of England, vol. 51(2), pages 100-110.
    58. Mario Canales & Bernabe Lopez-Martin, 2021. "Uncertainty, Risk, and Price-Setting: Evidence from CPI Microdata," Working Papers Central Bank of Chile 908, Central Bank of Chile.
    59. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans," KOF Working papers 16-406, KOF Swiss Economic Institute, ETH Zurich.
    60. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.
    61. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    62. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
    63. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    64. Levenko, Natalia, 2020. "Rounding bias in forecast uncertainty," Research in Economics, Elsevier, vol. 74(4), pages 277-291.
    65. Richard K. Crump & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2021. "The Term Structure of Expectations," Staff Reports 992, Federal Reserve Bank of New York.
    66. Huisman, Ronald & Van der Sar, Nico L. & Zwinkels, Remco C.J., 2021. "Volatility expectations and disagreement," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 379-393.
    67. Nikos Apokoritis & Gabriele Galati & Richhild Moessner & Federica Teppa, 2019. "Inflation expectations anchoring: new insights from micro evidence of a survey at high-frequency and of distributions," BIS Working Papers 809, Bank for International Settlements.
    68. Meade, Nigel & Driver, Ciaran, 2023. "Differing behaviours of forecasters of UK GDP growth," International Journal of Forecasting, Elsevier, vol. 39(2), pages 772-790.
    69. Marfatia, Hardik A., 2014. "Impact of uncertainty on high frequency response of the U.S. stock markets to the Fed's policy surprises," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(3), pages 382-392.
    70. Yanwei Jia & Jussi Keppo & Ville Satopää, 2023. "Herding in Probabilistic Forecasts," Management Science, INFORMS, vol. 69(5), pages 2713-2732, May.
    71. Robert W. Rich & Joseph Tracy, 2017. "The behavior of uncertainty and disagreement and their roles in economic prediction: a panel analysis," Staff Reports 808, Federal Reserve Bank of New York.
    72. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    73. Stefano Eusepi & Richard Crump & Emanuel Moench & Philippe Andrade, 2014. "Noisy Information and Fundamental Disagreement," 2014 Meeting Papers 797, Society for Economic Dynamics.
    74. Morikawa, Masayuki, 2016. "Business uncertainty and investment: Evidence from Japanese companies," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 224-236.
    75. MORIKAWA Masayuki, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
    76. Harimohan, Rashmi, 2012. "How has the risk to inflation from inflation expectations evolved?," Bank of England Quarterly Bulletin, Bank of England, vol. 52(2), pages 114-123.
    77. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    78. Paloviita, Maritta & Virén, Matti, 2014. "Analysis of forecast errors in micro-level survey data," Bank of Finland Research Discussion Papers 8/2014, Bank of Finland.
    79. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    80. Li, You & Tay, Anthony, 2021. "The role of macroeconomic and policy uncertainty in density forecast dispersion," Journal of Macroeconomics, Elsevier, vol. 67(C).
    81. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    82. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    83. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Nonlinear Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-172/4, Tinbergen Institute.
    84. Montes, Gabriel Caldas & Souza, Ivan, 2020. "Sovereign default risk, debt uncertainty and fiscal credibility: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    85. Fuest, Angela & Schmidt, Torsten, 2020. "Inflation expectation uncertainty in a New Keynesian framework," Ruhr Economic Papers 867, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    86. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    87. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    88. de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023. "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, vol. 47(2).
    89. Gabriel Caldas Montes & Paulo Henrique Lourenço Luna, 2022. "Do fiscal opacity, fiscal impulse, and fiscal credibility affect disagreement about economic growth forecasts? Empirical evidence from Brazil considering the period of political instability and presid," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 2356-2393, November.
    90. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "Anchoring of consumers’ long-term euro area inflation expectations during the pandemic," Working Papers 715, DNB.
    91. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.

  13. Giulietti, Monica & Otero, Jesús & Smith, Jeremy, 2008. "Testing for unit roots in three-dimensional heterogeneous panels in the presence of cross-sectional dependence," Economics Letters, Elsevier, vol. 101(3), pages 188-192, December.
    See citations under working paper version above.
  14. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2007. "Testing for seasonal unit roots in heterogeneous panels in the presence of cross section dependence," Economics Letters, Elsevier, vol. 97(2), pages 179-184, November.
    See citations under working paper version above.
  15. Leonardo Souza & Jeremy Smith & Reinaldo Souza, 2006. "Convex combinations of long memory estimates from different sampling rates," Computational Statistics, Springer, vol. 21(3), pages 399-413, December.
    See citations under working paper version above.
  16. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy P., 2005. "Effects of in-class variation and student rank on the probability of withdrawal: cross-section and time-series analysis for UK university students," Economics of Education Review, Elsevier, vol. 24(3), pages 251-262, June.
    See citations under working paper version above.
  17. Jesús Otero & Jeremy Smith, 2005. "The KPSS Test with Outliers," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 59-67, November.
    See citations under working paper version above.
  18. Smith, Jeremy & Naylor, Robin, 2005. "Schooling effects on subsequent university performance: evidence for the UK university population," Economics of Education Review, Elsevier, vol. 24(5), pages 549-562, October.
    See citations under working paper version above.
  19. Gianna Boero & Jeremy Smith & Kenneth Wallis, 2005. "The Sensitivity of Chi-Squared Goodness-of-Fit Tests to the Partitioning of Data," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 341-370.
    See citations under working paper version above.
  20. Otero, Jesus & Smith, Jeremy & Giulietti, Monica, 2005. "Testing for seasonal unit roots in heterogeneous panels," Economics Letters, Elsevier, vol. 86(2), pages 229-235, February.
    See citations under working paper version above.
  21. Souza, Leonardo R. & Smith, Jeremy, 2004. "Effects of temporal aggregation on estimates and forecasts of fractionally integrated processes: a Monte-Carlo study," International Journal of Forecasting, Elsevier, vol. 20(3), pages 487-502.

    Cited by:

    1. Leonardo Rocha Souza, 2005. "A Note On Chambers'S "Long Memory And Aggregation In Macroeconomic Time Series"," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 1059-1062, August.
    2. Man Kasing, 2010. "Extended Fractional Gaussian Noise and Simple ARFIMA Approximations," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-26, September.
    3. Davidson James & Rambaccussing Dooruj, 2015. "A Test of the Long Memory Hypothesis Based on Self-Similarity," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 115-141, July.
    4. Kourentzes, Nikolaos & Petropoulos, Fotios & Trapero, Juan R., 2014. "Improving forecasting by estimating time series structural components across multiple frequencies," International Journal of Forecasting, Elsevier, vol. 30(2), pages 291-302.
    5. Leonardo Rocha Souza, 2007. "Temporal Aggregation and Bandwidth selection in estimating long memory," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(5), pages 701-722, September.
    6. Chan, Wai-Sum & Chan, Yin-Ting, 2008. "A note on the autocorrelation properties of temporally aggregated Markov switching Gaussian models," Statistics & Probability Letters, Elsevier, vol. 78(6), pages 728-735, April.
    7. George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Fotios Petropoulos, 2015. "Forecasting with Temporal Hierarchies," Monash Econometrics and Business Statistics Working Papers 16/15, Monash University, Department of Econometrics and Business Statistics.
    8. Chan, Wai-Sum, 2022. "On temporal aggregation of some nonlinear time-series models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 38-49.
    9. Wai‐Sum Chan & Li‐Xin Zhang & Siu Hung Cheung, 2009. "Temporal aggregation of Markov‐switching financial return models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 359-383, May.
    10. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    11. Babai, M. Zied & Ali, Mohammad M. & Nikolopoulos, Konstantinos, 2012. "Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis," Omega, Elsevier, vol. 40(6), pages 713-721.
    12. Henghsiu Tsai & K. S. Chan, 2005. "Temporal Aggregation of Stationary And Nonstationary Discrete‐Time Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(4), pages 613-624, July.
    13. Jože Martin Rožanec & Blaž Fortuna & Dunja Mladenić, 2022. "Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    14. Bahman Rostami‐Tabar & M. Zied Babai & Aris Syntetos & Yves Ducq, 2013. "Demand forecasting by temporal aggregation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(6), pages 479-498, September.
    15. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    16. Man, K.S. & Tiao, G.C., 2006. "Aggregation effect and forecasting temporal aggregates of long memory processes," International Journal of Forecasting, Elsevier, vol. 22(2), pages 267-281.
    17. Souza, Leonardo Rocha & Smith, Jeremy & Souza, Reinaldo Castro, 2003. "Convex combinations of long memory estimates from different sampling rates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 489, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

  22. Massimiliano Bratti & Abigail McKnight & Robin Naylor & Jeremy Smith, 2004. "Higher education outcomes, graduate employment and university performance indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(3), pages 475-496, August.
    See citations under working paper version above.
  23. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2004. "Decompositions of Pearson's chi-squared test," Journal of Econometrics, Elsevier, vol. 123(1), pages 189-193, November.

    Cited by:

    1. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F, 2004. "Sensitivity of the Chi-Squared Goodness-of-Fit Test to the Partitioning of Data," The Warwick Economics Research Paper Series (TWERPS) 694, University of Warwick, Department of Economics.

  24. Jeremy Smith, 2004. "Assessing Aggregate Labour Productivity Trends in Canada and the United States: Total Economy versus Business Sector Perspectives," International Productivity Monitor, Centre for the Study of Living Standards, vol. 8, pages 47-58, Spring.

    Cited by:

    1. Someshwar Rao & Andrew Sharpe & Jeremy Smith, 2005. "An Analysis of the Labour Productivity Growth Slowdown in Canada since 2000," International Productivity Monitor, Centre for the Study of Living Standards, vol. 10, pages 3-23, Spring.
    2. Andrew Sharpe, 2004. "Recent Productivity Developments in Canada and the United States: Productivity Growth Deceleration versus Acceleration," International Productivity Monitor, Centre for the Study of Living Standards, vol. 8, pages 16-26, Spring.
    3. Don Drummond & Evan Capeluck, 2015. "Long-term Fiscal and Economic Projections for Canada and the Provinces and Territories, 2014-2038," CSLS Research Reports 2015-08, Centre for the Study of Living Standards.
    4. Jean-Francois Arsenault & Andrew Sharpe, 2008. "An Analysis of the Causes of Weak Labour Productivity Growth in Canada since 2000," International Productivity Monitor, Centre for the Study of Living Standards, vol. 16, pages 14-39, Spring.
    5. Don Drummond & Evan Capeluck & Matthew Calver, 2015. "The Key Challenge for Canadian Public Policy: Generating Inclusive and Sustainable Economic Growth," CSLS Research Reports 2015-11, Centre for the Study of Living Standards.
    6. Don Drummond & Evan Capeluck, 2015. "The Role of Productivity in Long-Term Economic and Fiscal Projections for the Canadian Provinces and Territories, 2014-2038," International Productivity Monitor, Centre for the Study of Living Standards, vol. 29, pages 3-17, Fall.

  25. Wiji Arulampalam & Robin A. Naylor & Jeremy P. Smith, 2004. "A hazard model of the probability of medical school drop‐out in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 157-178, February.

    Cited by:

    1. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    2. Carmen Aina & Chiara Mussida & Gabriele Lombardi, 2023. "Are Business and Economics Alike?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 557-585, July.
    3. Hahm, Sabrina & Kluve, Jochen, 2016. "Effects of the Bologna Reform on Educational Outcomes: Micro Evidence from Germany," IZA Discussion Papers 10201, Institute of Labor Economics (IZA).
    4. Sambit Bhattacharyya & Michael Keller, 2021. "Resource Discovery and the Political Fortunes of National Leaders," Economica, London School of Economics and Political Science, vol. 88(349), pages 129-166, January.
    5. Mosler, Karl & Savine, Alexandre, 2004. "Studienaufbau und Studienerfolg von Kölner Volks- und Betriebswirten im Grundstudium," Discussion Papers in Econometrics and Statistics 1/04, University of Cologne, Institute of Econometrics and Statistics.
    6. Carmen Aina, 2010. "The Determinants of Educational Attainment, University Drop-out and Time-to-Degree. A focus on Italy," Working Papers 132, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    7. Hahm, Sabrina & Kluve, Jochen, 2017. "Better with Bologna? Tertiary education reform and student outcomes," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168053, Verein für Socialpolitik / German Economic Association.
    8. Carmen Aina, 2010. "University Drop-out in Italy," Working Papers 134, SEMEQ Department - Faculty of Economics - University of Eastern Piedmont.
    9. Zotti, Roberto & Barra, Cristian, 2014. "Human capital development, knowledge spillovers and local growth: Is there a quality effect of university efficiency?," MPRA Paper 60065, University Library of Munich, Germany.
    10. Ludger Woessmann, 2006. "Efficiency and Equity of European Education and Training Policies," CESifo Working Paper Series 1779, CESifo.
    11. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    12. Carolina Castagnetti & Luisa Rosti, 2010. "The Gender Gap in Academic Achievements of Italian Graduates," Quaderni di Dipartimento 118, University of Pavia, Department of Economics and Quantitative Methods.
    13. Barra, Cristian & Zotti, Roberto, 2014. "Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education," MPRA Paper 55570, University Library of Munich, Germany.
    14. Mirjam Strupler Leiser & Stefan C. Wolter, 2015. "Reducing university dropout rates with entrance tests – self-fulfilling prophecy or high quality students," Economics of Education Working Paper Series 0108, University of Zurich, Department of Business Administration (IBW).
    15. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    16. Di Pietro, Giorgio & Cutillo, Andrea, 2008. "Degree flexibility and university drop-out: The Italian experience," Economics of Education Review, Elsevier, vol. 27(5), pages 546-555, October.
    17. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2015. "Evaluating the efficiency of Italian public universities (2008-2011) in presence of (unobserved) heterogeneity," Working papers 34, Società Italiana di Economia Pubblica.
    18. Kristine Simson, 2015. "Explaining upper secondary school dropout: new evidence on the role of local labor markets," Empirical Economics, Springer, vol. 48(4), pages 1419-1444, June.
    19. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2002. "Effects of In-Class Variation and Student Rank on the Probability of Withdrawal: Cross-Section and Time-Series Analysis for UK University Students," IZA Discussion Papers 655, Institute of Labor Economics (IZA).
    20. Marialuisa Restaino, 2008. "Dropping out of University of Salerno: a survival approach," Working Papers 3_193, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    21. Castagnetti, Carolina & Rosti, Luisa, 2007. "Effort allocation in tournaments: the effect of gender on academic performance in Italian universities," MPRA Paper 13441, University Library of Munich, Germany, revised 30 Jun 2008.
    22. Kikeo Boualaphet & Hideaki Goto, 2019. "Determinants of School Dropout in Lao PDR: A Survival Analysis," Working Papers EMS_2019_04, Research Institute, International University of Japan.
    23. Maja Mihaljevic Kosor, 2016. "Student Dropout in Higher Education: An Application of Hazard Functions," Proceedings of International Academic Conferences 3506156, International Institute of Social and Economic Sciences.
    24. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    25. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.
    26. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2005. "Doctor Who? Who Gets Admission Offers in UK Medical Schools," IZA Discussion Papers 1775, Institute of Labor Economics (IZA).
    27. Jordá, Vanesa & Alonso, José M., 2017. "New Estimates on Educational Attainment Using a Continuous Approach (1970–2010)," World Development, Elsevier, vol. 90(C), pages 281-293.
    28. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    29. Hahm, Sabrina & Kluve, Jochen, 2016. "Effects of the Bologna Reform on educational outcomes: Micro evidence from Germany," Ruhr Economic Papers 639, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    30. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.

  26. Robin Naylor & Jeremy Smith, 2004. "Degree performance of Economics students in UK universities: absolute and relative performance in prior qualifications," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 250-265, May.

    Cited by:

    1. Green, Francis & Machin, Stephen & Murphy, Richard & Zhu, Yu, 2010. "The changing economic advantage from private school," LSE Research Online Documents on Economics 28288, London School of Economics and Political Science, LSE Library.
    2. Judith M. Delaney & Paul J. Devereux, 2020. "How Gender and Prior Disadvantage Predict Performance in College," The Economic and Social Review, Economic and Social Studies, vol. 51(2), pages 189-239.
    3. Philip Wales, 2013. "Access All Areas? The Impact of Fees and Background on Student Demand for Postgraduate Higher Education in the UK," SERC Discussion Papers 0128, Centre for Economic Performance, LSE.
    4. Carolina Castagnetti & Luisa Rosti, 2010. "The Gender Gap in Academic Achievements of Italian Graduates," Quaderni di Dipartimento 118, University of Pavia, Department of Economics and Quantitative Methods.
    5. Wales, Philip, 2013. "Access all areas? The impact of fees and background on student demand for postgraduate higher education in the UK," LSE Research Online Documents on Economics 57846, London School of Economics and Political Science, LSE Library.
    6. Francis Green & Stephen Machin & Richard Murphy & Yu Zhu, 2008. "Competition for private and state school teachers," CEE Discussion Papers 0094, Centre for the Economics of Education, LSE.

  27. Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003. "On SETAR non-linearity and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
    See citations under working paper version above.
  28. Clements, Michael P. & Smith, Jeremy, 2002. "Evaluating multivariate forecast densities: a comparison of two approaches," International Journal of Forecasting, Elsevier, vol. 18(3), pages 397-407.

    Cited by:

    1. Norman R. Swanson & Nii Ayi Armah, 2011. "Predictive Inference Under Model Misspecification with an Application to Assessing the Marginal Predictive Content of Money for Output," Departmental Working Papers 201103, Rutgers University, Department of Economics.
    2. Knüppel, Malte & Krüger, Fabian & Pohle, Marc-Oliver, 2022. "Score-based calibration testing for multivariate forecast distributions," Discussion Papers 50/2022, Deutsche Bundesbank.
    3. Pascual, Lorenzo & Ruiz Ortega, Esther & Fresoli, Diego Eduardo, 2011. "Bootstrap forecast of multivariate VAR models without using the backward representation," DES - Working Papers. Statistics and Econometrics. WS ws113426, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Corradi, Valentina & Swanson, Norman R., 2004. "A test for the distributional comparison of simulated and historical data," Economics Letters, Elsevier, vol. 85(2), pages 185-193, November.
    5. Bhardwaj, Geetesh & Swanson, Norman R., 2006. "An empirical investigation of the usefulness of ARFIMA models for predicting macroeconomic and financial time series," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 539-578.
    6. Cees Diks & Valentyn Panchenko & Dick van Dijk, 2008. "Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails," Discussion Papers 2008-10, School of Economics, The University of New South Wales.
    7. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    8. Shamiri, Ahmed & Shaari, Abu Hassan & Isa, Zaidi, 2007. "Practical Volatility Modeling for Financial Market Risk Management," MPRA Paper 9790, University Library of Munich, Germany, revised 15 May 2008.
    9. Corradi, Valentina & Swanson, Norman R., 2004. "Some recent developments in predictive accuracy testing with nested models and (generic) nonlinear alternatives," International Journal of Forecasting, Elsevier, vol. 20(2), pages 185-199.
    10. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    11. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics.
    12. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
    13. Ko, Stanley I.M. & Park, Sung Y., 2013. "Multivariate density forecast evaluation: A modified approach," International Journal of Forecasting, Elsevier, vol. 29(3), pages 431-441.
    14. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    15. Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2019. "Prediction Regions for Interval-valued Time Series," Working Papers 201921, University of California at Riverside, Department of Economics.
    16. González-Rivera, Gloria & Yoldas, Emre, 2012. "Autocontour-based evaluation of multivariate predictive densities," International Journal of Forecasting, Elsevier, vol. 28(2), pages 328-342.
    17. Valentina Corradi & Norman R. Swanson, 2003. "Bootstrap Conditional Distribution Tests In the Presence of Dynamic Misspecification," Departmental Working Papers 200311, Rutgers University, Department of Economics.
    18. Norman R. Swanson & Lili Cai, 2011. "In- and Out-of-Sample Specification Analysis of Spot Rate Models: Further Evidence for the Period 1982-2008," Departmental Working Papers 201102, Rutgers University, Department of Economics.
    19. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    20. Isao Ishida, 2005. "Scanning Multivariate Conditional Densities with Probability Integral Transforms," CARF F-Series CARF-F-045, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    21. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    22. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    23. Diep Duong & Norman Swanson, 2013. "Density and Conditional Distribution Based Specification Analysis," Departmental Working Papers 201312, Rutgers University, Department of Economics.
    24. Valentina Corradi & Norman Swanson, 2003. "The Block Bootstrap for Parameter Estimation Error In Recursive Estimation Schemes, With Applications to Predictive Evaluation," Departmental Working Papers 200313, Rutgers University, Department of Economics.
    25. Polanski, Arnold & Stoja, Evarist, 2012. "Efficient evaluation of multidimensional time-varying density forecasts, with applications to risk management," International Journal of Forecasting, Elsevier, vol. 28(2), pages 343-352.
    26. Kheifets, Igor L., 2018. "Multivariate specification tests based on a dynamic Rosenblatt transform," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 1-14.
    27. Polanski, Arnold & Stoja, Evarist & Zhang, Ren, 2013. "Multidimensional risk and risk dependence," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3286-3294.
    28. Pinson, P. & Girard, R., 2012. "Evaluating the quality of scenarios of short-term wind power generation," Applied Energy, Elsevier, vol. 96(C), pages 12-20.

  29. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Why Is There a Graduate Earnings Premium for Students from Independent Schools?," Bulletin of Economic Research, Wiley Blackwell, vol. 54(4), pages 315-339, October.

    Cited by:

    1. Di Pietro, Giorgio, 2010. "The Impact of Degree Class on the First Destinations of Graduates: A Regression Discontinuity Approach," IZA Discussion Papers 4836, Institute of Labor Economics (IZA).
    2. Claire Crawford, 2014. "Socio-economic differences in university outcomes in the UK: drop-out, degree completion and degree class," IFS Working Papers W14/31, Institute for Fiscal Studies.
    3. Green, Francis & Machin, Stephen & Murphy, Richard & Zhu, Yu, 2010. "The changing economic advantage from private school," LSE Research Online Documents on Economics 28288, London School of Economics and Political Science, LSE Library.
    4. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer Class? The Impact Of Degree Performance On Graduate Labour Market Outcomes," The Warwick Economics Research Paper Series (TWERPS) 659, University of Warwick, Department of Economics.
    5. Massimiliano BRATTI & Luca MANCINI, 2003. "Differences in Early Occupational Earnings of UK Male Graduates by Degree Subject: Evidence from the 1980-1993 USR," Working Papers 189, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Robin Naylor & Jeremy Smith, 2004. "Degree performance of Economics students in UK universities: absolute and relative performance in prior qualifications," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 250-265, May.
    7. Gianni De Fraja & Paola Valbonesi, 2009. "Mixed Oligopoly: Old and New," Discussion Papers in Economics 09/20, Division of Economics, School of Business, University of Leicester.
    8. O'Leary, Nigel C. & Sloane, Peter J., 2005. "The Changing Wage Return to an Undergraduate Education," IZA Discussion Papers 1549, Institute of Labor Economics (IZA).
    9. Smith, Jeremy & Naylor, Robin, 2005. "Schooling effects on subsequent university performance: evidence for the UK university population," Economics of Education Review, Elsevier, vol. 24(5), pages 549-562, October.
    10. Claire Crawford & Anna Vignoles, 2014. "Heterogeneity in graduate earnings by socio-economic background," IFS Working Papers W14/30, Institute for Fiscal Studies.
    11. Caroline Elliott & Palitha Konara & Yingqi Wei, 2016. "Competition, Cooperation and Regulatory Intervention Impacts on Independent School Fees," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 23(2), pages 243-262, July.
    12. López-Torres, Laura & Johnes, Jill & Elliott, Caroline & Polo, Cristina, 2021. "The effects of competition and collaboration on efficiency in the UK independent school sector," Economic Modelling, Elsevier, vol. 96(C), pages 40-53.
    13. Francis Green & Stephen Machin & Richard Murphy & Yu Zhu, 2008. "Competition for private and state school teachers," CEE Discussion Papers 0094, Centre for the Economics of Education, LSE.
    14. Cormac O'Dea & Ian Preston, 2012. "The distributional impact of public spending in the UK," IFS Working Papers W12/06, Institute for Fiscal Studies.
    15. Arnaud Chevalier & Peter Dolton & Ros Levacic, 2004. "School Quality and Effectiveness," Working Papers 200410, School of Economics, University College Dublin.

  30. Souza, Leonardo R. & Smith, Jeremy, 2002. "Bias in the memory parameter for different sampling rates," International Journal of Forecasting, Elsevier, vol. 18(2), pages 299-313.

    Cited by:

    1. Leonardo Rocha Souza, 2005. "A Note On Chambers'S "Long Memory And Aggregation In Macroeconomic Time Series"," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 1059-1062, August.
    2. R Jea & C-T Su & J-L Lin, 2005. "Time aggregation effect on the correlation coefficient: added-systematically sampled framework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1303-1309, November.
    3. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    4. Davidson James & Rambaccussing Dooruj, 2015. "A Test of the Long Memory Hypothesis Based on Self-Similarity," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 115-141, July.
    5. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2011. "Long Memory and Fractional Integration in High-Frequency British Pound / Dollar Spot Exchange Rates," Faculty Working Papers 02/11, School of Economics and Business Administration, University of Navarra.
    6. Leonardo Rocha Souza, 2007. "Temporal Aggregation and Bandwidth selection in estimating long memory," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(5), pages 701-722, September.
    7. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2013. "Long Memory and Fractional Integration in High Frequency Data on the US Dollar / British Pound Spot Exchange Rate," Discussion Papers of DIW Berlin 1294, DIW Berlin, German Institute for Economic Research.
    8. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    9. Uwe Hassler, 2011. "Estimation of fractional integration under temporal aggregation," Post-Print hal-00815563, HAL.
    10. Jea, Rong & Lin, Jin-Lung & Su, Chao-Ton, 2005. "Correlation and the time interval in multiple regression models," European Journal of Operational Research, Elsevier, vol. 162(2), pages 433-441, April.
    11. Souza, Leonardo R. & Smith, Jeremy, 2004. "Effects of temporal aggregation on estimates and forecasts of fractionally integrated processes: a Monte-Carlo study," International Journal of Forecasting, Elsevier, vol. 20(3), pages 487-502.
    12. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    13. Souza, Leonardo Rocha & Smith, Jeremy & Souza, Reinaldo Castro, 2003. "Convex combinations of long memory estimates from different sampling rates," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 489, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    14. Steven Clark & T. Coggin, 2011. "Are U.S. stock prices mean reverting? Some new tests using fractional integration models with overlapping data and structural breaks," Empirical Economics, Springer, vol. 40(2), pages 373-391, April.

  31. Clements, Michael P. & Smith, Jeremy, 2001. "Evaluating forecasts from SETAR models of exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 133-148, February.

    Cited by:

    1. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    2. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    3. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    4. Baik, Hyeoncheol & Han, Sumin & Joo, Sunghoon & Lee, Kangbok, 2022. "A bank's optimal capital ratio: A time-varying parameter model to the partial adjustment framework," Journal of Banking & Finance, Elsevier, vol. 142(C).
    5. G. Boero & E. Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    6. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    7. Keller, Joachim & Glatzer, Ernst & Craig, Ben R. & Scheicher, Martin, 2003. "The Forecasting Performance of German Stock Option Densities," Discussion Paper Series 1: Economic Studies 2003,17, Deutsche Bundesbank.
    8. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    9. Boero, Gianna & Marrocu, Emanuela, 2003. "The Performance Of Setar Models: A Regime Conditional Evaluation Of Point, Interval And Density Forecasts," Economic Research Papers 269476, University of Warwick - Department of Economics.
    10. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    11. Keller, Joachim G. & Craig, Ben R., 2002. "The Empirical Performance of Option Based Densities of Foreign Exchange," Discussion Paper Series 1: Economic Studies 2002,07, Deutsche Bundesbank.
    12. Castle, Jennifer L. & Kurita, Takamitsu, 2021. "A dynamic econometric analysis of the dollar-pound exchange rate in an era of structural breaks and policy regime shifts," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    13. Chan, Wai-Sum, 2022. "On temporal aggregation of some nonlinear time-series models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 38-49.
    14. Rossen, Anja, 2014. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 157, Hamburg Institute of International Economics (HWWI).
    15. Man-Wai Ng & Wai-Sum Chan, 2004. "Robustness of alternative non-linearity tests for SETAR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 215-231.
    16. Siliverstovs, B. & van Dijk, D.J.C., 2003. "Forecasting industrial production with linear, nonlinear, and structural change models," Econometric Institute Research Papers EI 2003-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Hyeyoen Kim, 2011. "Large Data Sets, Nonlinearity and the Speed of Adjustment to Real Exchange Rate Shocks," Post-Print hal-00665456, HAL.
    18. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    19. Cai, Yuzhi, 2007. "A quantile approach to US GNP," Economic Modelling, Elsevier, vol. 24(6), pages 969-979, November.
    20. Ben R. Craig & Joachim G. Keller, 2004. "The forecast ability of risk-neutral densities of foreign exchange," Working Papers (Old Series) 0409, Federal Reserve Bank of Cleveland.
    21. Miquel Clar & Juan-Carlos Duque & Rosina Moreno, 2007. "Forecasting business and consumer surveys indicators-a time-series models competition," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2565-2580.
    22. John Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
    23. Yang, Jian & Su, Xiaojing & Kolari, James W., 2008. "Do Euro exchange rates follow a martingale? Some out-of-sample evidence," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 729-740, May.
    24. Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. ""An application of deep learning for exchange rate forecasting"," IREA Working Papers 202201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2022.
    25. van Dijk, D.J.C. & Franses, Ph.H.B.F., 2003. "Selecting a Nonlinear Time Series Model using Weighted Tests of Equal Forecast Accuracy," Econometric Institute Research Papers EI 2003-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Reason Lesego Machete, 2011. "Early Warning with Calibrated and Sharper Probabilistic Forecasts," Papers 1112.6390, arXiv.org, revised Jan 2012.
    27. Md. Karimuzzaman & Nusrat Islam & Sabrina Afroz & Md. Moyazzem Hossain, 2021. "Predicting Stock Market Price of Bangladesh: A Comparative Study of Linear Classification Models," Annals of Data Science, Springer, vol. 8(1), pages 21-38, March.
    28. Gianna Boero & Emanuela Marrocu, 2005. "Evaluating non-linear models on point and interval forecasts: an application with exchange rates," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 58(232), pages 91-120.
    29. Akintunde & M.O & Kgosi & P.M. & Agunloye & O.K. & Olalude G. A., 2019. "Evaluating Forecast Performance of SETAR Model using Gross Domestic Product of Nigeria," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(4), pages 1-6.
    30. Sofiane Sekioua, 2004. "The forward unbiasedness hypothesis and the forward premium: a nonlinear analysis," Money Macro and Finance (MMF) Research Group Conference 2003 85, Money Macro and Finance Research Group.
    31. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
    32. Manzan, Sebastiano & Zerom, Dawit, 2008. "A bootstrap-based non-parametric forecast density," International Journal of Forecasting, Elsevier, vol. 24(3), pages 535-550.
    33. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    34. Yuzhi Cai, 2005. "A forecasting procedure for nonlinear autoregressive time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 335-351.
    35. Shiyi Chen & Kiho Jeong & Wolfgang Härdle, 2008. "Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns," SFB 649 Discussion Papers SFB649DP2008-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    36. Luca Brugnolini & Antonello D’Agostino & Alex Tagliabracci, 2021. "Is Anything Predictable in Market-Based Surprises?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 387-410, November.

  32. Jeremy P. Smith & Robin A. Naylor, 2001. "Dropping out of university: A statistical analysis of the probability of withdrawal for UK university students," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 389-405.

    Cited by:

    1. Carmen Aina & Chiara Mussida & Gabriele Lombardi, 2023. "Are Business and Economics Alike?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 557-585, July.
    2. Oliver Cassagneau-Francis, 2022. "Revisiting the Returns to Higher Education: Heterogeneity by Cognitive and Non-Cognitive Abilities," Working Papers hal-04067399, HAL.
    3. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    4. Annalina Sarra & Lara Fontanella & Simone Zio, 2019. "Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 41-60, November.
    5. Mosler, Karl & Savine, Alexandre, 2004. "Studienaufbau und Studienerfolg von Kölner Volks- und Betriebswirten im Grundstudium," Discussion Papers in Econometrics and Statistics 1/04, University of Cologne, Institute of Econometrics and Statistics.
    6. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    7. Alessandrini, Diana, 2018. "Is post-secondary education a safe port and for whom? Evidence from Canadian data," Economics of Education Review, Elsevier, vol. 67(C), pages 1-13.
    8. Bratti, M., 2001. "Does the choice of university matter? A study of the differences across uk universities in life sciences students' degree performance," The Warwick Economics Research Paper Series (TWERPS) 584, University of Warwick, Department of Economics.
    9. F. Cugnata & G. Perucca & S. Salini, 2017. "Bayesian networks and the assessment of universities' value added," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(10), pages 1785-1806, July.
    10. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2001. "Factors affecting the probability of first-year medical student dropout in the UK : a logistic analysis for the entry cohorts of 1980-1992," The Warwick Economics Research Paper Series (TWERPS) 618, University of Warwick, Department of Economics.
    11. Bratti, Massimiliano & McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2003. "Higher Education Outcomes, Graduate Employment and University Performance Indicators," Economic Research Papers 269586, University of Warwick - Department of Economics.
    12. Maria Marchenko, 2019. "Endogenous Shocks in Social Networks: Exam Failures and Friends' Future Performance," Department of Economics Working Papers wuwp292, Vienna University of Economics and Business, Department of Economics.
    13. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy P., 2001. "A Hazard Model of the Probability of Medical School Dropout in the United Kingdom," Economic Research Papers 269367, University of Warwick - Department of Economics.
    14. Contini,Dalit & Ricciardi,Riccardo & Romito,Marco & Salza,Guido & Zotti,Roberto, 2020. "Improving university dropout and student careers. What room for institutional action?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202004, University of Turin.
    15. Kevin Denny & Orla Doyle & Patricia O'Reilly & Vincent O'Sullivan, 2010. "Money, mentoring and making friends : the impact of a multidimensional access program on student performance," Working Papers 201011, School of Economics, University College Dublin.
    16. Paola Perchinunno & Massimo Bilancia & Domenico Vitale, 2021. "A Statistical Analysis of Factors Affecting Higher Education Dropouts," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 341-362, August.
    17. Herberholz, Lars & Wigger, Berthold U., 2021. "Efficiency of European universities: A comparison of peers," Research Policy, Elsevier, vol. 50(9).
    18. Derek Leslie, 2005. "Why people from the UK's minority ethnic communities achieve weaker degree results than whites," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 619-632.
    19. Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    20. Marco Centoni & Vieri Del Panta & Antonello Maruotti & Valentina Raponi, 2019. "Concomitant-Variable Latent-Class Beta Inflated Models to Assess Students’ Performance: An Italian Case Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 7-18, November.
    21. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer Class? The Impact Of Degree Performance On Graduate Labour Market Outcomes," The Warwick Economics Research Paper Series (TWERPS) 659, University of Warwick, Department of Economics.
    22. Uwe Jirjahn, 2007. "Welche Faktoren beeinflussen den Erfolg im wirtschaftswissenschaftlichen Studium?," Schmalenbach Journal of Business Research, Springer, vol. 59(3), pages 286-313, May.
    23. Schnepf, Sylke V., 2014. "Do Tertiary Dropout Students Really Not Succeed in European Labour Markets?," IZA Discussion Papers 8015, Institute of Labor Economics (IZA).
    24. Elias Katsikas & Theologos Dergiades, 2012. "Revising higher education policy in Greece: filling the Danaids’ Jar," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(3), pages 279-292, August.
    25. Buly Cardak & Joseph Vecci, 2014. "Graduates, dropouts and slow finishers: the effects of credit constraints on university outcomes," Working Papers 2014.05, School of Economics, La Trobe University.
    26. Silvia Bianconcini & Silvia Cagnone, 2012. "A General Multivariate Latent Growth Model With Applications to Student Achievement," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 339-364, April.
    27. Elias Katsikas & Theodore Panagiotidis, 2011. "Student Status and Academic Performance: Accounting for the Symptom of Long Duration of Studies in Greece," Discussion Paper Series 2011_04, Department of Economics, University of Macedonia, revised Mar 2011.
    28. G. Boero & A. Mcknight & R. Naylor & J. Smith, 2001. "Graduates and graduate labour markets in the UK and Italy," Working Paper CRENoS 200111, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Lars Herberholz & Berthold U. Wigger, 2020. "Efficiency of European Universities: A Comparison of Peers," CESifo Working Paper Series 8044, CESifo.
    30. Katariina Salmela-Aro & Katja Upadyaya & Inka Ronkainen & Lauri Hietajärvi, 2022. "Study Burnout and Engagement During COVID-19 Among University Students: The Role of Demands, Resources, and Psychological Needs," Journal of Happiness Studies, Springer, vol. 23(6), pages 2685-2702, August.
    31. Rossella Iraci Capuccinello, 2014. "Determinants and timing of dropping out decisions: evidence from the UK FE sector," Working Papers 15742191, Lancaster University Management School, Economics Department.
    32. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    33. Mirjam Strupler Leiser & Stefan C. Wolter, 2015. "Reducing university dropout rates with entrance tests – self-fulfilling prophecy or high quality students," Economics of Education Working Paper Series 0108, University of Zurich, Department of Business Administration (IBW).
    34. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2018. "The Economics of University Dropouts and Delayed Graduation: A Survey," IZA Discussion Papers 11421, Institute of Labor Economics (IZA).
    35. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    36. Aina, Carmen & Baici, Eliana & Casalone, Giorgia & Pastore, Francesco, 2022. "The determinants of university dropout: A review of the socio-economic literature," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    37. Vignoles Anna F & Powdthavee Nattavudh, 2009. "The Socioeconomic Gap in University Dropouts," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-36, April.
    38. Behr Andreas & Giese Marco & Teguim K Herve D. & Theune Katja, 2020. "Early Prediction of University Dropouts – A Random Forest Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 743-789, December.
    39. Di Pietro, Giorgio & Cutillo, Andrea, 2008. "Degree flexibility and university drop-out: The Italian experience," Economics of Education Review, Elsevier, vol. 27(5), pages 546-555, October.
    40. Bradley, Steve & Migali, Giuseppe, 2019. "The effects of the 2006 tuition fee reform and the Great Recession on university student dropout behaviour in the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 331-356.
    41. Lars Müller & Daniel Klein, 2023. "Social Inequality in Dropout from Higher Education in Germany. Towards Combining the Student Integration Model and Rational Choice Theory," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 300-330, March.
    42. By Vincenzo Carrieri & Marcello D’Amato & Roberto Zotti, 2015. "On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1034-1056.
    43. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2002. "Effects of In-Class Variation and Student Rank on the Probability of Withdrawal: Cross-Section and Time-Series Analysis for UK University Students," IZA Discussion Papers 655, Institute of Labor Economics (IZA).
    44. Giorgio Di Pietro, 2006. "Regional labour market conditions and university dropout rates: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 617-630.
    45. Elias Katsikas & Theodore Panagiotidis, 2010. "Student Status and Academic Performance: an approach of the quality determinants of university studies in Greece," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 40, Hellenic Observatory, LSE.
    46. Gitto, Lara & Minervini, Leo Fulvio & Monaco, Luisa, 2016. "University dropouts in Italy: Are supply side characteristics part of the problem?," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 108-116.
    47. Marialuisa Restaino, 2008. "Dropping out of University of Salerno: a survival approach," Working Papers 3_193, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    48. Masserini, Lucio & Bini, Matilde, 2021. "Does joining social media groups help to reduce students’ dropout within the first university year?," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    49. Contini, Dalit & Salza, Guido, 2020. "Too few university graduates. Inclusiveness and effectiveness of the Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    50. Delavande, Adeline & Del Bono, Emilia & Holford, Angus, 2022. "Academic and non-academic investments at university: The role of expectations, preferences and constraints," Journal of Econometrics, Elsevier, vol. 231(1), pages 74-97.
    51. Steve Bradley & Giuseppe Migali, 2015. "The Effect of a Tuition Fee Reform on the Risk of Drop Out from University in the UK," Working Papers 86010138, Lancaster University Management School, Economics Department.
    52. Horacio Matos-Díaz, 2009. "Determinantes de las tasas universitarias de graduación, retención y deserción en Puerto Rico: Un estudio de Caso," Revista de Economía del Rosario, Universidad del Rosario, May.
    53. Geraint Johnes & Robert McNabb, 2004. "Never Give up on the Good Times: Student Attrition in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 23-47, February.
    54. Gitto, Lara & Minervini, Leo Fulvio & Monaco, Luisa, 2012. "University dropouts: supply-side issues in Italy," MPRA Paper 56656, University Library of Munich, Germany, revised Nov 2013.
    55. Monaco, Luisa, 2011. "Measuring Italian university efficiency: a non-parametric approach," MPRA Paper 37949, University Library of Munich, Germany, revised 29 Feb 2012.
    56. Elena Casquel & Ezequiel Uriel, 2009. "The determinants of post-compulsory education in Spain," Applied Economics Letters, Taylor & Francis Journals, vol. 16(4), pages 399-404.
    57. Contini, Dalit & Salza, Guido & Scagni, Andrea, 2017. "Dropout and Time to Degree in Italian Universities Around the Economic Crisis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201716, University of Turin.
    58. Rossella Iraci Capuccinello & Steve Bradley, 2014. "The effect of college mergers on student dropout behaviour," Working Papers 64907218, Lancaster University Management School, Economics Department.
    59. CARRIERI, Vincenzo & D'AMATO, Marcello & ZOTTI, Roberto, 2013. "Selective Admission Tests and Students' Performances. Evidence from a Natural Experiment in a Large Italian University," CELPE Working Papers 0/00, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
    60. Cormac O'Dea & Ian Preston, 2012. "The distributional impact of public spending in the UK," IFS Working Papers W12/06, Institute for Fiscal Studies.
    61. Oliver Cassagneau-Francis, 2022. "Revisiting the Returns to Higher Education: Heterogeneity by Cognitive and Non-Cognitive Abilities," SciencePo Working papers Main hal-04067399, HAL.
    62. Roberto Zotti, 2015. "Should I Stay Or Should I Go? Dropping Out From University: An Empirical Analysis Of Students’ Performances," Working Papers 70, AlmaLaurea Inter-University Consortium.
    63. David I. Ohlssen & Linda D. Sharples & David J. Spiegelhalter, 2007. "A hierarchical modelling framework for identifying unusual performance in health care providers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(4), pages 865-890, October.
    64. Elias Katsikas & Theologos Dergiades, 2009. "Higher Education Policy in Greece: Filling the Danaids' Jar," Discussion Paper Series 2009_16, Department of Economics, University of Macedonia, revised Nov 2009.

  33. Jeremy Smith & Robin Naylor, 2001. "Determinants of Degree Performance in UK Universities: A Statistical Analysis of the 1993 Student Cohort," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 29-60, February.

    Cited by:

    1. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    2. Grave, Barbara S., 2010. "The Effect of Student Time Allocation on Academic Achievement," Ruhr Economic Papers 235, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Gérard Lassibille & María Lucía Navarro Gómez, 2008. "Why do higher education students drop out? Evidence from Spain," Post-Print halshs-00324365, HAL.
    4. Bratti, Massimiliano & McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2003. "Higher Education Outcomes, Graduate Employment and University Performance Indicators," Economic Research Papers 269586, University of Warwick - Department of Economics.
    5. Green, Francis & Machin, Stephen & Murphy, Richard & Zhu, Yu, 2010. "The changing economic advantage from private school," LSE Research Online Documents on Economics 28288, London School of Economics and Political Science, LSE Library.
    6. Aina, Carmen & Casalone, Giorgia, 2020. "Early labor market outcomes of university graduates: Does time to degree matter?," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Lehmann, Erik & Warning, Susanne, 2002. "Teaching or research? What affects the efficiency of universities," Discussion Papers, Series I 322, University of Konstanz, Department of Economics.
    8. Herberholz, Lars & Wigger, Berthold U., 2021. "Efficiency of European universities: A comparison of peers," Research Policy, Elsevier, vol. 50(9).
    9. Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    10. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer Class? The Impact Of Degree Performance On Graduate Labour Market Outcomes," The Warwick Economics Research Paper Series (TWERPS) 659, University of Warwick, Department of Economics.
    11. Holmlund, Bertil & Liu, Qian & Nordström Skans, Oskar, 2006. "Mind the gap? Estimating the effects of postponing higher education," Working Paper Series 2006:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. Elias Katsikas, 2009. "Elements and Symptoms of a Poor Higher Education system: Evidence from a Greek University," Discussion Paper Series 2009_17, Department of Economics, University of Macedonia, revised Dec 2009.
    13. Andrea Cammelli, 2012. "Consolidamento ed eterogeneità nelle esperienze di studio dei laureati italiani," Working Papers 49, AlmaLaurea Inter-University Consortium.
    14. Zotti, Roberto & Barra, Cristian, 2014. "Human capital development, knowledge spillovers and local growth: Is there a quality effect of university efficiency?," MPRA Paper 60065, University Library of Munich, Germany.
    15. Elias Katsikas & Theodore Panagiotidis, 2011. "Student Status and Academic Performance: Accounting for the Symptom of Long Duration of Studies in Greece," Discussion Paper Series 2011_04, Department of Economics, University of Macedonia, revised Mar 2011.
    16. Geraint Johnes & Kwok Tong Soo, 2017. "Grades across Universities over Time," Manchester School, University of Manchester, vol. 85(1), pages 106-131, January.
    17. Lars Herberholz & Berthold U. Wigger, 2020. "Efficiency of European Universities: A Comparison of Peers," CESifo Working Paper Series 8044, CESifo.
    18. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    19. Carolina Castagnetti & Luisa Rosti, 2010. "The Gender Gap in Academic Achievements of Italian Graduates," Quaderni di Dipartimento 118, University of Pavia, Department of Economics and Quantitative Methods.
    20. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    21. Barra, Cristian & Zotti, Roberto, 2014. "Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education," MPRA Paper 55570, University Library of Munich, Germany.
    22. Herrero, Inés & Algarrada, Inmaculada, 2010. "Is the new ECTS system better than the traditional one? An application to the ECTS pilot-project at the University Pablo de Olavide," European Journal of Operational Research, Elsevier, vol. 204(1), pages 164-172, July.
    23. Robin Naylor & Jeremy Smith, 2004. "Degree performance of Economics students in UK universities: absolute and relative performance in prior qualifications," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 250-265, May.
    24. Naylor, Robin & Smith, Jeremy & Telhaj, Shqiponja, 2015. "Graduate returns, degree class premia and higher education expansion in the UK," LSE Research Online Documents on Economics 66056, London School of Economics and Political Science, LSE Library.
    25. Elvira NICA & Oana Matilda SABIE, 2023. "Emotional Intelligence And Academic Achievement. A Study Among University Students From Public Administration Programs," APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 4(2), pages 18-36, August.
    26. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    27. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2015. "Evaluating the efficiency of Italian public universities (2008-2011) in presence of (unobserved) heterogeneity," Working papers 34, Società Italiana di Economia Pubblica.
    28. G. Boero & T. Laureti & R. Naylor, 2005. "An econometric analysis of student withdrawal and progression in post-reform Italian Universities," Working Paper CRENoS 200504, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    29. Carlos Arias & Javier Valbuena & Jose Manuel Garcia, 2021. "The Impact of Secondary Education Choices on Mathematical Performance in University: The Role of Non-Cognitive Skills," Mathematics, MDPI, vol. 9(21), pages 1-16, October.
    30. Smith, Jeremy & Naylor, Robin, 2005. "Schooling effects on subsequent university performance: evidence for the UK university population," Economics of Education Review, Elsevier, vol. 24(5), pages 549-562, October.
    31. Elisa Rose Birch & Paul W Miller, 2007. "The Characteristics of ‘Gap‐Year’ Students and Their Tertiary Academic Outcomes," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 329-344, September.
    32. Juan J. Dolado & Eduardo Morales, 2009. "Which factors determine academic performance of Economics freshers? Some Spanish evidence," Investigaciones Economicas, Fundación SEPI, vol. 33(2), pages 179-210, May.
    33. Delavande, Adeline & Del Bono, Emilia & Holford, Angus, 2022. "Academic and non-academic investments at university: The role of expectations, preferences and constraints," Journal of Econometrics, Elsevier, vol. 231(1), pages 74-97.
    34. Silva, Maria C.A. & Camanho, Ana S. & Barbosa, Flávia, 2020. "Benchmarking of secondary schools based on Students’ results in higher education," Omega, Elsevier, vol. 95(C).
    35. Dino Alves & Ana Balcao Reis & Carmo Seabra & Luis Catela-Nunes, 2015. "Determinants of Academic Success in Economics and Management," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 17, pages 335-356, Asociación de Economía de la Educación.
    36. Geraint Johnes & Robert McNabb, 2004. "Never Give up on the Good Times: Student Attrition in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 23-47, February.
    37. Stephen E. Childs & Ross Finnie & Felice Martinello, 2017. "Postsecondary Student Persistence and Pathways: Evidence From the YITS-A in Canada," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(3), pages 270-294, May.
    38. Cristian Barra & Roberto Zotti, 2017. "Investigating the Human Capital Development–growth Nexus," International Regional Science Review, , vol. 40(6), pages 638-678, November.
    39. Jake Anders, 2020. "How should universities select students?," CEPEO Briefing Note Series 8, UCL Centre for Education Policy and Equalising Opportunities, revised Nov 2020.
    40. Minakshi Duggal & Pooja Mehta, 2015. "Antecedents to Academic Performance of College Students," Paradigm, , vol. 19(2), pages 197-211, December.
    41. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.
    42. Cormac O'Dea & Ian Preston, 2012. "The distributional impact of public spending in the UK," IFS Working Papers W12/06, Institute for Fiscal Studies.
    43. Siobhan Lucey & Maria Grydaki, 2023. "University attendance and academic performance: Encouraging student engagement," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(2), pages 180-199, May.
    44. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.

  34. Otero, Jesus & Smith, Jeremy, 2000. "Testing for cointegration: power versus frequency of observation -- further Monte Carlo results," Economics Letters, Elsevier, vol. 67(1), pages 5-9, April.

    Cited by:

    1. Mark J. Holmes & Jesús Otero & Theodore Panagiotidis, 2016. "Climbing the property ladder: An analysis of market integration in London property prices," Working Paper series 16-30, Rimini Centre for Economic Analysis.
    2. Michel Beine & Charles Bos & Serge Coulombe, 2009. "Does the Canadian economy suffer from Dutch Disease?," DEM Discussion Paper Series 09-06, Department of Economics at the University of Luxembourg.
    3. Maria Nikoloudaki & Dikaios Tserkezos, 2008. "Temporal Aggregation Effects in Choosing the Optimal Lag Order in Stable ARMA Models: Some Monte Carlo Results," Working Papers 0822, University of Crete, Department of Economics.
    4. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2017. "Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of “Dutch disease” in Colombia," Empirical Economics, Springer, vol. 52(2), pages 777-798, March.
    5. Huseyin Karamelikli, 2016. "Linear and nonlinear dynamics of housing price in Turkey," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 46.
    6. Panopoulou, Ekaterini & Pantelidis, Theologos, 2016. "The Fisher effect in the presence of time-varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 495-511.
    7. Alberto Bagnai & Arsène Rieber & Anh Dao Tran, 2013. "Economic growth and balance-of-payments constraint in Vietnam," a/ Working Papers Series 1302, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    8. Marcus J. Chambers, 2011. "Cointegration and sampling frequency," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 156-185, July.
    9. Mallory, Mindy & Lence, Sergio H, 2012. "Testing for Cointegration in the Presence of Moving Average Errors," ISU General Staff Papers 201201010800001034, Iowa State University, Department of Economics.
    10. Manoel Bittencourt & Rangan Gupta & Lardo Stander, 2013. "Tax evasion, financial development and inflation: theory and empirical evidence," Working Papers 201316, University of Pretoria, Department of Economics.
    11. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Does data frequency matter for the impact of forward premium on spot exchange rate?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 45-53.
    12. Jesús Otero & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "Multivariate Cointegration and Temporal Aggregation: Some Further Simulation Results," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 59-70, January.
    13. Ghysels, Eric & Miller, J. Isaac, 2013. "Testing for Cointegration with Temporally Aggregated and Mixed-frequency Time Series," CEPR Discussion Papers 9654, C.E.P.R. Discussion Papers.
    14. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.
    15. Idil Uz Akdogan & Hatice Kerra Geldi, 2013. "Revisiting the Twin Deficit Hypothesis for the Economies of Europe," The Journal of European Theoretical and Applied Studies, The Center for European Studies at Kirklareli University - Turkey, vol. 1(1), pages 53-65.
    16. Joshua Olusegun Ajetomobi, 2015. "Market Power in Nigerian Domestic Cocoa Supply Chain," Working Papers 294, African Economic Research Consortium, Research Department.
    17. Rangan Gupta & Lardo Stander & Andrea Vaona, 2023. "Openness and growth: Is the relationship non‐linear?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3071-3099, July.
    18. Szabo Andrea, 2015. "Testing Monetary Exchange Rate Models With Panel Cointegration Tests," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 643-651, July.
    19. Chen, Shiu-Sheng & Chou, Yu-Hsi, 2015. "Revisiting the relationship between exchange rates and fundamentals," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 1-22.
    20. Larisa Ivascu & Muddassar Sarfraz & Muhammad Mohsin & Sobia Naseem & Ilknur Ozturk, 2021. "The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test," IJERPH, MDPI, vol. 18(14), pages 1-17, July.
    21. K Taylor, 2002. "Assessing the Determinants of Male Earnings Dispersion," Economic Issues Journal Articles, Economic Issues, vol. 7(2), pages 35-58, September.
    22. Riane de Bruyn & Rangan Gupta & Lardo stander, 2011. "Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data," Working Papers 201134, University of Pretoria, Department of Economics.
    23. Samih A Azar, 2021. "Measuring the US marginal propensity to consume," Economics Bulletin, AccessEcon, vol. 41(2), pages 283-292.
    24. Yugang He, 2022. "Investigating the Routes toward Environmental Sustainability: Fresh Insights from Korea," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    25. Nafeesa Yunus, 2013. "Dynamic interactions among property types," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(2), pages 135-159, March.
    26. Nafeesa Yunus & J. Hansz & Paul Kennedy, 2012. "Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1021-1040, November.
    27. J. Isaac Miller & Xi Wang, 2016. "Implementing Residual-Based KPSS Tests for Cointegration with Data Subject to Temporal Aggregation and Mixed Sampling Frequencies," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(6), pages 810-824, November.
    28. Chu, Kam Hon, 2010. "Bank mergers, branch networks and economic growth: Theory and evidence from Canada, 1889-1926," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 265-283, March.
    29. Chor Foon Tang & Kean Siang Ch’ng, 2012. "A Multivariate Analysis of the Nexus between Savings and Economic Growth in the ASEAN-5 Economies," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 6(3), pages 385-406, August.
    30. Uz, Idil & Ketenci, Natalya, 2008. "Panel analysis of the monetary approach to exchange rates: Evidence from ten new EU members and Turkey," Emerging Markets Review, Elsevier, vol. 9(1), pages 57-69, March.
    31. Jan J. J. Groen, 2002. "Cointegration and the Monetary Exchange Rate Model Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 361-380, September.
    32. Holmes, Mark J. & Otero, Jesús, 2019. "Re-examining the movements of crude oil spot and futures prices over time," Energy Economics, Elsevier, vol. 82(C), pages 224-236.
    33. Darrat, Ali F., 2002. "The relative efficiency of interest-free monetary system: some empirical evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(4), pages 747-764.
    34. Kim Hiang Liow, 2008. "Financial Crisis and Asian Real Estate Securities Market Interdependence: Some Additional Evidence," Journal of Property Research, Taylor & Francis Journals, vol. 25(2), pages 127-155, November.
    35. Giuseppe Cavaliere, 2005. "Testing mean reversion in target-zone exchange rates," Applied Economics, Taylor & Francis Journals, vol. 37(20), pages 2335-2347.
    36. Baker, Mindy Lyn, 2009. "Three essays concerning agriculture and energy," ISU General Staff Papers 200901010800001849, Iowa State University, Department of Economics.
    37. Jan J J Groen & Clare Lombardelli, 2004. "Real exchange rates and the relative prices of non-traded and traded goods: an empirical analysis," Bank of England working papers 223, Bank of England.

  35. Smith, Jeremy & McKnight, Abigail & Naylor, Robin, 2000. "Graduate Employability: Policy and Performance in Higher Education in the UK," Economic Journal, Royal Economic Society, vol. 110(464), pages 382-411, June.

    Cited by:

    1. Lenton, Pamela, 2015. "Determining student satisfaction: An economic analysis of the National Student Survey," Economics of Education Review, Elsevier, vol. 47(C), pages 118-127.
    2. Di Pietro, Giorgio, 2010. "The Impact of Degree Class on the First Destinations of Graduates: A Regression Discontinuity Approach," IZA Discussion Papers 4836, Institute of Labor Economics (IZA).
    3. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    4. Massimiliano Bratti, 2005. "Social Class and Undergraduate Degree Subject in the UK," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1015, Universitá degli Studi di Milano.
    5. Bratti, M., 2001. "Does the choice of university matter? A study of the differences across uk universities in life sciences students' degree performance," The Warwick Economics Research Paper Series (TWERPS) 584, University of Warwick, Department of Economics.
    6. Celik, Orhan & Ecer, Alaattin, 2009. "Efficiency in accounting education: evidence from Turkish Universities," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 20(5), pages 614-634.
    7. Koda, Yoshiko & Yuki, Takako, 2013. "The labor market outcomes of two forms of cross-border higher education degree programs between Malaysia and Japan," International Journal of Educational Development, Elsevier, vol. 33(4), pages 367-379.
    8. Bratti, Massimiliano & McKnight, Abigail & Naylor, Robin & Smith, Jeremy, 2003. "Higher Education Outcomes, Graduate Employment and University Performance Indicators," Economic Research Papers 269586, University of Warwick - Department of Economics.
    9. Alexandre, Fernando & Portela, Miguel & Sá, Carla, 2008. "Admission Conditions and Graduates' Employability," IZA Discussion Papers 3530, Institute of Labor Economics (IZA).
    10. Karagiannaki, E. (Eleni), 2012. "GINI DP 58: The effect of parental wealth on children’s outcomes in early adulthood," GINI Discussion Papers 58, AIAS, Amsterdam Institute for Advanced Labour Studies.
    11. Lehmann, Erik & Warning, Susanne, 2002. "Teaching or research? What affects the efficiency of universities," Discussion Papers, Series I 322, University of Konstanz, Department of Economics.
    12. Giorgio Di Pietro, 2015. "Do Study Abroad Programs Enhance the Employability of Graduates?," Education Finance and Policy, MIT Press, vol. 10(2), pages 223-243, March.
    13. Koda, Yoshiko & Yuki, Takako, 2012. "The Labor Market Outcomes of Two Forms of Cross-Border Higher Education Degree Programs between Malaysia and Japan," Working Papers 41, JICA Research Institute.
    14. Ireland, Norman & Naylor, Robin A. & Smith, Jeremy & Telhaj, Shqiponja, 2009. "Educational Returns, ability composition and cohort effects : theory and evidence for cohorts of early-career UK graduates," The Warwick Economics Research Paper Series (TWERPS) 906, University of Warwick, Department of Economics.
    15. Naylor, Robin & Smith, Jeremy & McKnight, Abigail, 2002. "Sheer Class? The Impact Of Degree Performance On Graduate Labour Market Outcomes," The Warwick Economics Research Paper Series (TWERPS) 659, University of Warwick, Department of Economics.
    16. Ghada Barsoum & Ahmed Rashad, 2018. "Does Private Higher Education Improve Employment Outcomes? Comparative Analysis from Egypt," Public Organization Review, Springer, vol. 18(1), pages 125-142, March.
    17. Elias Katsikas, 2009. "Elements and Symptoms of a Poor Higher Education system: Evidence from a Greek University," Discussion Paper Series 2009_17, Department of Economics, University of Macedonia, revised Dec 2009.
    18. Hock‐Eam Lim & Judith Rich & Mark N. Harris, 2008. "Employment Outcomes of Graduates: The Case of Universiti Utara, Malaysia," Asian Economic Journal, East Asian Economic Association, vol. 22(3), pages 321-341, September.
    19. Daša Farčnik & Polona Domadenik, 2012. "Has the Bologna reform enhanced the employability of graduates? Early evidence from Slovenia," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 51-75, March.
    20. Sergio Firpo & Sandro Carvalho & Renan Pieri, 2016. "Using occupational structure to measure employability with an application to the Brazilian labor market," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 1-19, March.
    21. Booth, Alison L. & Cardona-Sosa, Lina & Nolen, Patrick, 2018. "Do single-sex classes affect academic achievement? An experiment in a coeducational university," Journal of Public Economics, Elsevier, vol. 168(C), pages 109-126.
    22. Eleni Karagiannaki, 2012. "The effect of parental wealth on children’s outcomes in early adulthood," CASE Papers case164, Centre for Analysis of Social Exclusion, LSE.
    23. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    24. Kuhn, Michael & Siciliani, Luigi, 2007. "Performance Indicators for Quality with Adverse Selection, Gaming and Inequality Aversion," CEPR Discussion Papers 6261, C.E.P.R. Discussion Papers.
    25. Livanos, Ilias, 2009. "The Relationship Between Higher Education and Labour Market in Greece: the Weakest Link?," MPRA Paper 16239, University Library of Munich, Germany.
    26. Pietro Giorgio Lovaglio & Gianmarco Vacca & Stefano Verzillo, 2016. "Human capital estimation in higher education," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(4), pages 465-489, December.
    27. Robin Naylor & Jeremy Smith, 2004. "Degree performance of Economics students in UK universities: absolute and relative performance in prior qualifications," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 250-265, May.
    28. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    29. Mañé Vernet, Ferran, 2010. "El retorno a las competencias para los titulados universitarios catalanes," Working Papers 2072/179591, Universitat Rovira i Virgili, Department of Economics.
    30. Arulampalam, Wiji & Naylor, Robin & Smith, Jeremy, 2002. "Effects of In-Class Variation and Student Rank on the Probability of Withdrawal: Cross-Section and Time-Series Analysis for UK University Students," IZA Discussion Papers 655, Institute of Labor Economics (IZA).
    31. Nick Wilton, 2011. "Do employability skills really matter in the UK graduate labour market? The case of business and management graduates," Work, Employment & Society, British Sociological Association, vol. 25(1), pages 85-100, March.
    32. Gabriele BALLARINO & Massimiliano BRATTI, 2006. "Fields of study and graduates’ occupational outcomes in Italy during the 90s. Who won and who lost?," Departmental Working Papers 2006-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    33. Gabriele Ballarino & Massimiliano Bratti, 2009. "Field of Study and University Graduates' Early Employment Outcomes in Italy during 1995–2004," LABOUR, CEIS, vol. 23(3), pages 421-457, September.
    34. Eleni Karagiannaki, 2017. "The effect of parental wealth on children’s outcomes in early adulthood," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 217-243, September.
    35. Monaco, Luisa, 2011. "Measuring Italian university efficiency: a non-parametric approach," MPRA Paper 37949, University Library of Munich, Germany, revised 29 Feb 2012.
    36. Massimiliano BRATTI & Robin NAYLOR & Jeremy SMITH, 2008. "Heterogeneities in the returns to degrees: evidence from the British cohort study 1970," Departmental Working Papers 2008-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    37. Eleni Karagiannaki, 2017. "The effect of parental wealth on children’s outcomes in early adulthood," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 217-243, September.

  36. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-141, March-Apr.
    See citations under working paper version above.
  37. Jeremy Smith & Nick Taylor & Sanjay Yadav, 1997. "Comparing the bias and misspecification in ARFIMA models," Journal of Time Series Analysis, Wiley Blackwell, vol. 18(5), pages 507-527, September.
    See citations under working paper version above.
  38. Clements, Michael P. & Smith, Jeremy, 1997. "The performance of alternative forecasting methods for SETAR models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 463-475, December.
    See citations under working paper version above.
  39. Smith, Jeremy & Otero, Jesus, 1997. "Structural breaks and seasonal integration," Economics Letters, Elsevier, vol. 56(1), pages 13-19, September.
    See citations under working paper version above.
  40. Richard Sakwa & Neil Robinson & John Ishiyama & Joel Ostrow & Marie Lavigne & Thomas Baylis & Jeffrey Kopstein & Peter Grieder & Jeremy Smith & Renéo Lukic & Aleksander Pavković & Chris Corrin & James, 1997. "Reviews," Europe-Asia Studies, Taylor & Francis Journals, vol. 49(8), pages 1531-1568.

    Cited by:

    1. Fernando Guirao & Frances M. B. Lynch, 2011. "The implicit theory of historical change in the work of Alan S. Milward," Economics Working Papers 1290, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Frances M. B. Lynch & Fernando Guirao, 2011. "The Implicit Theory of Historical Change in the work of Alan S. Milward," Working Papers 586, Barcelona School of Economics.

  41. Smith, Jeremy & Yadav, Sanjay, 1996. "A comparison of alternative covariance matrices for models with over-lapping observations," Journal of International Money and Finance, Elsevier, vol. 15(5), pages 813-823, October.

    Cited by:

    1. Ian Tonks & Mark T Hon, 2002. "Mommentum in the UK Stock Market," FMG Discussion Papers dp405, Financial Markets Group.
    2. Heaton, Chris, 2015. "Testing for multiple-period predictability between serially dependent time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 587-597.

  42. Smith, Jeremy & McAleer, Michael, 1995. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 165-185, April-Jun.
    See citations under working paper version above.
  43. Smith, Jeremy & Yadav, Sanjay, 1994. "Forecasting costs incurred from unit differencing fractionally integrated processes," International Journal of Forecasting, Elsevier, vol. 10(4), pages 507-514, December.

    Cited by:

    1. Assaf, A., 2006. "Dependence and mean reversion in stock prices: The case of the MENA region," Research in International Business and Finance, Elsevier, vol. 20(3), pages 286-304, September.
    2. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    3. Miguel Arranz & Francesc Marmol, 2001. "Out-of-sample forecast errors in misspecific perturbed long memory processes," Statistical Papers, Springer, vol. 42(4), pages 423-436, October.
    4. Li, Daye & Nishimura, Yusaku & Men, Ming, 2016. "Why the long-term auto-correlation has not been eliminated by arbitragers: Evidences from NYMEX," Energy Economics, Elsevier, vol. 59(C), pages 167-178.
    5. Rob J. Hyndman & Yeasmin Khandakar, 2007. "Automatic time series forecasting: the forecast package for R," Monash Econometrics and Business Statistics Working Papers 6/07, Monash University, Department of Econometrics and Business Statistics.
    6. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    7. Luisa Bisaglia & Silvano Bordignon, 2002. "Mean square prediction error for long-memory processes," Statistical Papers, Springer, vol. 43(2), pages 161-175, April.
    8. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    9. Dixon, R. & Shepherd, D., 2000. "Trends and Cycles in Australian State and Territory Unemployment Rates," Department of Economics - Working Papers Series 730, The University of Melbourne.
    10. Ellis, Craig & Wilson, Patrick, 2004. "Another look at the forecast performance of ARFIMA models," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 63-81.
    11. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
    12. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
    13. Dominique Guegan, 2003. "A prospective study of the k-factor Gegenbauer processes with heteroscedastic errors and an application to inflation rates," Post-Print halshs-00201314, HAL.

  44. McAleer, Michael & Smith, Jeremy, 1994. "A note on the unbiasedness test of rationality using survey data," Journal of Macroeconomics, Elsevier, vol. 16(2), pages 369-374.

    Cited by:

    1. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.

  45. David W. R. Gruen & Jeremy Smith, 1994. "Excess Returns in a Small Open Economy," The Economic Record, The Economic Society of Australia, vol. 70(211), pages 381-396, December.

    Cited by:

    1. Tom Crowards, 2002. "Defining the category of 'small' states," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(2), pages 143-179.
    2. Smith, Jeremy & Yadav, Sanjay, 1996. "A comparison of alternative covariance matrices for models with over-lapping observations," Journal of International Money and Finance, Elsevier, vol. 15(5), pages 813-823, October.
    3. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    4. Mardi Dungey & Adrian Pagan, 2000. "A Structural VAR Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 321-342, December.

  46. Sedgley, Nigel & Smith, Jeremy, 1994. "An Analysis of UK Imports Using Multivariate Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(2), pages 135-150, May.

    Cited by:

    1. Sushanta Mallick, 2004. "A dynamic macroeconometric model for short-run stabilization in India," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 261-276.
    2. Paresh Kumar Narayan & Xiujian Peng, 2006. "An Econometric Analysis of the Determinants of Fertility for China, 1952-2000," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 165-183.
    3. Heejoon Kang, 1999. "The Applied Cointegration Analysis for the Open Economy: A Critical Review," Open Economies Review, Springer, vol. 10(3), pages 325-346, July.
    4. Mah, Jai S., 2000. "An empirical examination of the disaggregated import demand of Korea--the case of information technology products," Journal of Asian Economics, Elsevier, vol. 11(2), pages 237-244.

  47. Jeremy Smith & Chris Murphy, 1994. "Macroeconomic Fluctuations in the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 70(209), pages 133-148, June.

    Cited by:

    1. Gruen, David & Pagan, Adrian & Thompson, Christopher, 1999. "The Phillips curve in Australia," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 223-258, October.
    2. Kearney, Colm & Daly, Kevin, 1997. "Monetary volatility and real output volatility: An empirical model of the financial transmission mechanism in Australia," International Review of Financial Analysis, Elsevier, vol. 6(2), pages 77-95.
    3. Meredith Beechey & Pär Österholm, 2008. "A Bayesian Vector Autoregressive Model with Informative Steady‐state Priors for the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 84(267), pages 449-465, December.
    4. Enders, Walter & Hurn, Stan, 2002. "Asymmetric price adjustment and the Phillips curve," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 395-412, September.
    5. Chris Murphy, 2020. "Decisions in Designing an Australian Macroeconomic Model," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 252-270, September.

  48. Smith, Jeremy & Hagan, Jim, 1993. "Multivariate Cointegration and Error Correction Models: An Application to Manufacturing Activity in Australia," Scottish Journal of Political Economy, Scottish Economic Society, vol. 40(2), pages 184-198, May.

    Cited by:

    1. Nanang, David M., 2010. "Analysis of export demand for Ghana's timber products: A multivariate co-integration approach," Journal of Forest Economics, Elsevier, vol. 16(1), pages 47-61, January.
    2. Vasilescu, Denisa Maria & Aparaschivei, Larisa & Roman, Mihai Daniel, 2012. "Employment in Romania: evidence from a panel data analysis," MPRA Paper 38388, University Library of Munich, Germany.

  49. Osborn, Denise R & Smith, Jeremy P, 1989. "The Performance of Periodic Autoregressive Models in Forecasting Seasonal U. K. Consumption," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 117-127, January.

    Cited by:

    1. Franses, Ph.H.B.F. & Paap, R., 1999. "Forecasting with periodic autoregressive time series models," Econometric Institute Research Papers EI 9927-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Peter C. B. Phillips & Zhijie Xiao, 1998. "A Primer on Unit Root Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 423-470, December.
    3. Paulo M.M. Rodrigues & Pedro M.D.C.B. Gouveia, 2004. "An Application of PAR Models for Tourism Forecasting," Tourism Economics, , vol. 10(3), pages 281-303, September.
    4. Herwartz, Helmut, 1997. "Performance of periodic error correction models in forecasting consumption data," International Journal of Forecasting, Elsevier, vol. 13(3), pages 421-431, September.
    5. Philip Hans Franses & Richard Paap, 2011. "Random‐coefficient periodic autoregressions," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(1), pages 101-115, February.
    6. Clements, Michael & Smith, Jeremy, 1997. "Forecasting Seasonal Uk Consumption Components," Economic Research Papers 268761, University of Warwick - Department of Economics.
    7. Franses, Philip Hans, 1995. "The effects of seasonally adjusting a periodic autoregressive process," Computational Statistics & Data Analysis, Elsevier, vol. 19(6), pages 683-704, June.
    8. Daniel Dzikowski & Carsten Jentsch, 2024. "Structural Periodic Vector Autoregressions," Papers 2401.14545, arXiv.org.
    9. Bollerslev, T. & Ghysels, E., 1994. "Periodic Autoregressive Conditional Heteroskedasticity," Cahiers de recherche 9408, Universite de Montreal, Departement de sciences economiques.
    10. A.S.M. Arroyo & A. de Juan Fern¨¢ndez, 2014. "Split-then-Combine Method for out-of-sample Combinations of Forecasts," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 3(1), pages 19-37, April.
    11. Breitung, Jorg & Franses, Philip Hans, 1997. "Impulse response functions for periodic integration," Economics Letters, Elsevier, vol. 55(1), pages 35-40, August.
    12. Ghysels, Eric, 1994. "On the Periodic Structure of the Business Cycle," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 289-298, July.
    13. Evans, Mark, 2006. "A study of the relationship between regional ferrous scrap prices in the USA, 1958-2004," Resources Policy, Elsevier, vol. 31(2), pages 65-77, June.
    14. Łukasz Lenart, 2017. "Examination of Seasonal Volatility in HICP for Baltic Region Countries: Non-Parametric Test versus Forecasting Experiment," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 29-67, March.
    15. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    16. Eugen Ursu & Pierre Duchesne, 2009. "Estimation and model adequacy checking for multivariate seasonal autoregressive time series models with periodically varying parameters," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(2), pages 183-212, May.
    17. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2009. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 683-713, October.
    18. Zou, Nan & Politis, Dimitris N., 2021. "Bootstrap seasonal unit root test under periodic variation," Econometrics and Statistics, Elsevier, vol. 19(C), pages 1-21.
    19. Ghysels, E., 1993. "A Time Series Model with Periodic Stochastic Regime Switching," Cahiers de recherche 9314, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    20. Alexander Vosseler & Enzo Weber, 2018. "Forecasting seasonal time series data: a Bayesian model averaging approach," Computational Statistics, Springer, vol. 33(4), pages 1733-1765, December.
    21. 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.
    22. Eiji Kurozumi, 2002. "Testing For Periodic Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 243-270.
    23. Christian Francq & Roch Roy & Abdessamad Saidi, 2011. "Asymptotic Properties of Weighted Least Squares Estimation in Weak PARMA Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 32(6), pages 699-723, November.
    24. Elena Barton & Basad Al-Sarray & Stéphane Chrétien & Kavya Jagan, 2018. "Decomposition of Dynamical Signals into Jumps, Oscillatory Patterns, and Possible Outliers," Mathematics, MDPI, vol. 6(7), pages 1-13, July.
    25. Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.
    26. Hylleberg, S. & Pagan, A.R., 1995. "Seasonal Integration and the Evolving Seasonals Model," Papers 281, Australian National University - Department of Economics.
    27. Yorghos Tripodis & Jeremy Penzer, 2009. "Modelling time series with season-dependent autocorrelation structure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 559-574.
    28. Albertson, Kevin & Aylen, Jonathan, 1996. "Modelling the Great Lakes freeze: forecasting and seasonality in the market for ferrous scrap," International Journal of Forecasting, Elsevier, vol. 12(3), pages 345-359, September.
    29. Siem Jan Koopman & Marius Ooms, 2004. "Forecasting Daily Time Series using Periodic Unobserved Components Time Series Models," Tinbergen Institute Discussion Papers 04-135/4, Tinbergen Institute.
    30. Tim Bollerslev & Eric Ghysels, 1994. "On Periodic Autogressive Conditional Heteroskedasticity," CIRANO Working Papers 94s-03, CIRANO.
    31. Jeffrey A. Miron, 1990. "The Economics of Seasonal Cycles," NBER Working Papers 3522, National Bureau of Economic Research, Inc.
    32. Lenart, Łukasz, 2013. "Non-parametric frequency identification and estimation in mean function for almost periodically correlated time series," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 252-269.
    33. Marc Lavoie & Gabriel Rodríguez, 2005. "The Economic Impact of Professional Teams on Monthly Hotel Occupancy Rates of Canadian Cities," Journal of Sports Economics, , vol. 6(3), pages 314-324, August.
    34. Luis A. Gil-Alana & Juncal Cunado & Fernando Perez de Gracia, 2008. "Tourism in the Canary Islands: forecasting using several seasonal time series models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 621-636.
    35. Jeremy Penzer & Yorghos Tripodis, 2007. "Single-season heteroscedasticity in time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 189-202.
    36. Richard M. Todd, 1989. "Periodic linear-quadratic methods for modeling seasonality," Staff Report 127, Federal Reserve Bank of Minneapolis.
    37. Lutkepohl, Helmut & Herwartz, Helmut, 1996. "Specification of varying coefficient time series models via generalized flexible least squares," Journal of Econometrics, Elsevier, vol. 70(1), pages 261-290, January.
    38. Łukasz Lenart & Mateusz Pipień, 2015. "Empirical Properties of the Credit and Equity Cycle within Almost Periodically Correlated Stochastic Processes - the Case of Poland, UK and USA," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(3), pages 169-186, September.
    39. Novales, Alfonso & de Fruto, Rafael Flores, 1997. "Forecasting with periodic models A comparison with time invariant coefficient models," International Journal of Forecasting, Elsevier, vol. 13(3), pages 393-405, September.
    40. Albertson, Kevin & Aylen, Jonathan, 2003. "Forecasting the behaviour of manufacturing inventory," International Journal of Forecasting, Elsevier, vol. 19(2), pages 299-311.
    41. Albertson, Kevin & Aylen, Jonathan, 1999. "Forecasting using a periodic transfer function: with an application to the UK price of ferrous scrap," International Journal of Forecasting, Elsevier, vol. 15(4), pages 409-419, October.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Robin A. Naylor & Jeremy Smith, 2004. "Determinants of Educational Success in Higher Education," Chapters, in: Geraint Johnes & Jill Johnes (ed.), International Handbook on the Economics of Education, chapter 11, Edward Elgar Publishing.

    Cited by:

    1. Göke, Michael, 2008. "Homo oeconomicus im Hörsaal: Die Rationalität studentischer Nebengespräche in Lehrveranstaltungen," Arbeitspapiere der FOM 9, FOM Hochschule für Oekonomie & Management.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.