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David Stephen Pollock

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. David Stephen Pollock & Emi Mise, 2011. "Alternative Methods of Seasonal Adjustment," Discussion Papers in Economics 11/12, Division of Economics, School of Business, University of Leicester.

    Mentioned in:

    1. Seasonal adjustment is difficult
      by Economic Logician in Economic Logic on 2011-03-04 21:54:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. D. S. G. Pollock, 2002. "A review of TSW: the Windows version of the TRAMO-SEATS program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 291-299.

    Mentioned in:

    1. A review of TSW: the Windows version of the TRAMO-SEATS program (Journal of Applied Econometrics 2002) in ReplicationWiki ()

Working papers

  1. D.S.G. Pollock, 2017. "Stochastic processes of limited frequency and the effects of oversampling," Discussion Papers in Economics 17/03, Division of Economics, School of Business, University of Leicester.

    Cited by:

  2. Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics 14/07, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    2. Luis J. Álvarez, 2017. "Business cycle estimation with high-pass and band-pass local polynomial regression," Working Papers 1702, Banco de España.
    3. Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
    4. Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics 14/07, Division of Economics, School of Business, University of Leicester.

  3. Stephen Pollock, 2014. "Econometrics: An Historical Guide for the Uninitiated," Discussion Papers in Economics 14/05, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Jackson, Emerson Abraham, 2018. "Theoretical and Methodological Context of (Post)-Modern Econometrics and Competing Philosophical Discourses for Policy Prescription," MPRA Paper 86796, University Library of Munich, Germany, revised 19 May 2018.

  4. Stephen Pollock, 2014. "Cycles, Syllogisms and Semantics: Examining the Idea of Spurious Cycles," Discussion Papers in Economics 14/03, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Spinola, Danilo, 2023. "Instability constraints and development traps: an empirical analysis of growth cycles and economic volatility in Latin America," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    2. Michal Andrle & Jan Bruha & Serhat Solmaz, 2016. "On the Sources of Business Cycles: Implications for DSGE Models," Working Papers 2016/03, Czech National Bank.
    3. D.S.G. Pollock, "undated". "Filters, Waves and Spectra," Discussion Papers in Economics 19/08, Division of Economics, School of Business, University of Leicester.
    4. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
    5. Escañuela Romana, Ignacio, 2016. "Randomness, Determinism and Undecidability in the Economic cycle Theory," MPRA Paper 74646, University Library of Munich, Germany.
    6. Kufenko, Vadim, 2016. "Spurious periodicities in cliometric series: Simultaneous testing," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung" 48/2016, University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk.
    7. D. Stephen G. Pollock, 2018. "Filters, Waves and Spectra," Econometrics, MDPI, vol. 6(3), pages 1-33, July.
    8. Escañuela Romana, Ignacio, 2016. "Azar, Determinismo e Indecidibilidad en la Teoría del Ciclo Económico [Randomness, Determinism and Undecidability in the Business Cycle Theory]," MPRA Paper 72978, University Library of Munich, Germany.
    9. Michal Andrle & Jan Bruha & Mr. Serhat Solmaz, 2016. "Output and Inflation Co-movement: An Update on Business-Cycle Stylized Facts," IMF Working Papers 2016/241, International Monetary Fund.

  5. Stephen Pollock, 2011. "On Kronecker Products, Tensor Products And Matrix Differential Calculus," Discussion Papers in Economics 11/34, Division of Economics, School of Business, University of Leicester, revised Jul 2011.

    Cited by:

    1. Mutschler, Willi, 2014. "Identification of DSGE Models - A Comparison of Methods and the Effect of Second Order Approximation," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100598, Verein für Socialpolitik / German Economic Association.
    2. Willi Mutschler, 2014. "Identification of DSGE Models - the Effect of Higher-Order Approximation and Pruning," CQE Working Papers 3314, Center for Quantitative Economics (CQE), University of Muenster.

  6. David Stephen Pollock, 2011. "Band-Limited Stochastic Processes in Discrete and Continuous Time," Discussion Papers in Economics 11/11, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. D. Stephen G. Pollock, 2020. "Linear Stochastic Models in Discrete and Continuous Time," Econometrics, MDPI, vol. 8(3), pages 1-22, September.

  7. Prof D.S.G. Pollock, 2008. "The Frequency Analysis of the Business Cycle," Discussion Papers in Economics 08/12, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Dapontas Dimitrios & Evangelopoulos Panagiotis, 2013. "Has the NAFTA Foundation Affected Business Cycles Length? An Introduction," Scientific Annals of Economics and Business, Sciendo, vol. 60(1), pages 145-153, July.

  8. D.S.G. Pollock, 2008. "Realisations of Finite-Sample Frequency-Selective Filters," Discussion Papers in Economics 08/32, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. D.S.G. Pollock, "undated". "Filters, Waves and Spectra," Discussion Papers in Economics 19/08, Division of Economics, School of Business, University of Leicester.
    2. D.S.G. Pollock, 2017. "Stochastic processes of limited frequency and the effects of oversampling," Discussion Papers in Economics 17/03, Division of Economics, School of Business, University of Leicester.
    3. Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics 14/07, Division of Economics, School of Business, University of Leicester.
    4. Jitka Poměnková & Roman Maršálek, 2015. "Empirical Evidence of Ideal Filter Approximation: Peripheral and Selected EU Countries Application," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(5), pages 485-502.
    5. D. Stephen G. Pollock, 2018. "Filters, Waves and Spectra," Econometrics, MDPI, vol. 6(3), pages 1-33, July.

  9. D.S.G. Pollock, 2008. "Statistical Fourier Analysis: Clarifications and Interpretations," Discussion Papers in Economics 08/36, Division of Economics, School of Business, University of Leicester.

    Cited by:

    1. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    2. Jason Angelopoulos, 2017. "Time–frequency analysis of the Baltic Dry Index," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 211-233, June.

  10. D.S.G. Pollock, 2007. "Investigating Economic Trends And Cycles," Discussion Papers in Economics 07/17, Division of Economics, School of Business, University of Leicester, revised Apr 2008.

    Cited by:

    1. Ivan Kitov & Oleg Kitov, 2012. "Real GDP per capita since 1870," Papers 1205.5671, arXiv.org.
    2. Willi Leibfritz & Gebhard Flaig, 2013. "Economic Growth in Africa: Comparing Recent Improvements with the "lost 1980s and early 1990s" and Estimating New Growth Trends," CESifo Working Paper Series 4215, CESifo.
    3. D.S.G. Pollock, 2008. "Statistical Fourier Analysis: Clarifications and Interpretations," Discussion Papers in Economics 08/36, Division of Economics, School of Business, University of Leicester.
    4. Blöchl, Andreas, 2014. "Trend Estimation with Penalized Splines as Mixed Models for Series with Structural Breaks," Discussion Papers in Economics 18446, University of Munich, Department of Economics.
    5. D.S.G. Pollock, 2009. "IDEOLOG: A Program for Filtering Econometric Data -- A Synopsis of Alternative Methods," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 2, pages 15-44, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    6. D.S.G. Pollock, 2018. "The Manual for IDEOLOG.PAS. A Program for Filtering Econometric Data," Discussion Papers in Economics 19/09, Division of Economics, School of Business, University of Leicester.
    7. Tommaso Proietti, 2007. "Band Spectral Estimation for Signal Extraction," CEIS Research Paper 104, Tor Vergata University, CEIS.

  11. Stephen Pollock & Nikoletta Lekka, 2004. "Deconstructing The Consumption Function: New Tools And Old Problems," Royal Economic Society Annual Conference 2004 104, Royal Economic Society.

    Cited by:

    1. Colignatus, Thomas, 2013. "Money as gold versus money as water," MPRA Paper 45759, University Library of Munich, Germany, revised 02 Apr 2013.
    2. Colignatus, Thomas, 2008. "A note on competing economic theories on the 2007-2008+ financial crisis: The case for (hidden) stagflation," MPRA Paper 10831, University Library of Munich, Germany.
    3. Colignatus, Thomas, 2009. "Consumer durables as investments that can help us out of the current economic crisis," MPRA Paper 13382, University Library of Munich, Germany.
    4. Kingsley Nwala, 2018. "The Determinants of Economic Growth: An Empirical Investigation of North Carolina," International Journal of Economics and Financial Issues, Econjournals, vol. 8(5), pages 26-34.

  12. Pollock, D.S.G., 2000. "Filters for Short Nonstationary Sequences," G.R.E.Q.A.M. 00a04, Universite Aix-Marseille III.

    Cited by:

    1. McElroy, Tucker & Sutcliffe, Andrew, 2006. "An iterated parametric approach to nonstationary signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2206-2231, May.
    2. D.S.G. Pollock, 2008. "Statistical Fourier Analysis: Clarifications and Interpretations," Discussion Papers in Economics 08/36, Division of Economics, School of Business, University of Leicester.
    3. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    4. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.
    5. Stephen Pollock, 2001. "Signal Extraction, Maximum Likelihood Estimation and the Start-up Problem," Working Papers 433, Queen Mary University of London, School of Economics and Finance.

  13. Merkus, H.R. & Pollock, D.S.G. & Vos, A.F., 1991. "A synopsis of the smoothing formulae associated with the Kalman Filter," Serie Research Memoranda 0079, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.
    2. González, P. & Idais, H. & Pasadas, M. & Yasin, M., 2019. "3D fuzzy data approximation by fuzzy smoothing bicubic splines," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 164(C), pages 94-102.

  14. Pollock, D.S.G., 1991. "On the criterion function for arma estimation," Serie Research Memoranda 0074, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

  15. Bekker, P.A. & Pollock, D.S.G., 1984. "Identification of linear stochastic models with covariance restrictions," Research Memorandum FEW 144, Tilburg University, School of Economics and Management.

    Cited by:

    1. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    2. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    3. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    5. Bai, Jushan & Wang, Peng, 2014. "Identification theory for high dimensional static and dynamic factor models," Journal of Econometrics, Elsevier, vol. 178(2), pages 794-804.
    6. Nikolay Iskrev, 2009. "Local Identification in DSGE Models," Working Papers w200907, Banco de Portugal, Economics and Research Department.
    7. Paul Bekker, 1986. "A note on the identification of restricted factor loading matrices," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 607-611, December.
    8. Nikolay Iskrev, 2010. "Evaluating the strength of identification in DSGE models. An a priori approach," Working Papers w201032, Banco de Portugal, Economics and Research Department.
    9. George, Edward I. & Sun, Dongchu & Ni, Shawn, 2008. "Bayesian stochastic search for VAR model restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 553-580, January.

Articles

  1. D. S. G. Pollock, 2016. "Econometric Filters," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 669-691, December.
    See citations under working paper version above.
  2. Pollock D. S. G., 2013. "Cycles, Syllogisms and Semantics: Examining the Idea of Spurious Cycles," Journal of Time Series Econometrics, De Gruyter, vol. 6(1), pages 81-102, September.
    See citations under working paper version above.
  3. Mustafa Sir & Marina Epelman & Stephen Pollock, 2012. "Stochastic programming for off-line adaptive radiotherapy," Annals of Operations Research, Springer, vol. 196(1), pages 767-797, July.

    Cited by:

    1. Mehdi Karimi & Somayeh Moazeni & Levent Tunçel, 2018. "A Utility Theory Based Interactive Approach to Robustness in Linear Optimization," Journal of Global Optimization, Springer, vol. 70(4), pages 811-842, April.
    2. Chan, Timothy C.Y. & Mišić, Velibor V., 2013. "Adaptive and robust radiation therapy optimization for lung cancer," European Journal of Operational Research, Elsevier, vol. 231(3), pages 745-756.

  4. Pollock D.S.G., 2012. "Band-Limited Stochastic Processes in Discrete and Continuous Time," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-29, January.
    See citations under working paper version above.
  5. Pollock Stephen D.S.G., 2009. "Statistical Fourier Analysis: Clarifications and Interpretations," Journal of Time Series Econometrics, De Gruyter, vol. 1(1), pages 1-49, April.
    See citations under working paper version above.
  6. Pollock, D.S.G., 2007. "Wiener–Kolmogorov Filtering, Frequency-Selective Filtering, And Polynomial Regression," Econometric Theory, Cambridge University Press, vol. 23(1), pages 71-88, February.

    Cited by:

    1. Stephen Pollock, 2014. "Trends Cycles and Seasons: Econometric Methods of Signal Extraction," Discussion Papers in Economics 14/04, Division of Economics, School of Business, University of Leicester.
    2. D.S.G. Pollock, "undated". "Filters, Waves and Spectra," Discussion Papers in Economics 19/08, Division of Economics, School of Business, University of Leicester.
    3. André Nunes Maranhão, 2024. "Brazilian Business Cycle Analysis in a High-Dimensional and Time-Irregular Span Context," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 1-58, August.
    4. Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics 14/07, Division of Economics, School of Business, University of Leicester.
    5. Tucker S. McElroy & Thomas M. Trimbur, 2012. "Signal extraction for nonstationary multivariate time series with illustrations for trend inflation," Finance and Economics Discussion Series 2012-45, Board of Governors of the Federal Reserve System (U.S.).
    6. Ahmed Belhadjayed & Grégoire Loeper & Frédéric Abergel, 2016. "Forecasting Trends With Asset Prices," Post-Print hal-01512431, HAL.
    7. Macaro, Christian, 2010. "Bayesian non-parametric signal extraction for Gaussian time series," Journal of Econometrics, Elsevier, vol. 157(2), pages 381-395, August.
    8. D. Stephen G. Pollock, 2018. "Filters, Waves and Spectra," Econometrics, MDPI, vol. 6(3), pages 1-33, July.
    9. McElroy, Tucker S. & Wildi, Marc, 2020. "The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions," Econometrics and Statistics, Elsevier, vol. 14(C), pages 112-130.
    10. D.S.G. Pollock, 2009. "IDEOLOG: A Program for Filtering Econometric Data -- A Synopsis of Alternative Methods," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 2, pages 15-44, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    11. D.S.G. Pollock, 2018. "The Manual for IDEOLOG.PAS. A Program for Filtering Econometric Data," Discussion Papers in Economics 19/09, Division of Economics, School of Business, University of Leicester.

  7. Pollock, D.S.G., 2006. "Introduction to the special issue on statistical signal extraction and filtering," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2137-2145, May.

    Cited by:

    1. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    2. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.

  8. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.

    Cited by:

    1. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    2. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    3. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
    4. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    5. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    6. Guy Mélard, 2016. "On some remarks about SEATS signal extraction," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 53-98, March.
    7. Morana, Claudio, 2007. "Multivariate modelling of long memory processes with common components," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 919-934, October.
    8. Thornton, Michael A., 2013. "Removing seasonality under a changing regime: Filtering new car sales," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 4-14.

  9. Pollock, D. S. G., 2003. "Improved frequency selective filters," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 279-297, March.

    Cited by:

    1. Blöchl, Andreas, 2014. "Penalized Splines as Frequency Selective Filters - Reducing the Excess Variability at the Margins," Discussion Papers in Economics 20687, University of Munich, Department of Economics.
    2. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    3. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    4. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    5. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    6. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.
    7. Ombao, Hernando & Ringo Ho, Moon-ho, 2006. "Time-dependent frequency domain principal components analysis of multichannel non-stationary signals," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2339-2360, May.
    8. Regina Kaiser & Agustín Maravall, 2004. "Combining filter design with model based filtering (with an application to business cycle estimation)," Working Papers 0417, Banco de España.
    9. Tommaso Proietti, 2012. "Seasonality, Forecast Extensions And Business Cycle Uncertainty," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 555-569, September.
    10. Mastromarco, Camilla & Woitek, Ulrich, 2007. "Regional business cycles in Italy," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 907-918, October.

  10. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.

    Cited by:

    1. Mazzocchi, Mario, 2006. "Time patterns in UK demand for alcohol and tobacco: an application of the EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2191-2205, May.
    2. Eric Schaling & Mewael F. Tesfaselassie & Sylvester Eijffinger, 2007. "Learning About the Term Structure and Optimal Rules for Inflation Targeting," Working Papers 062, Economic Research Southern Africa.
    3. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 258-293, June.
    4. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
    5. Segarra, Agustí & Teruel, Mercedes, 2012. "An appraisal of firm size distribution: Does sample size matter?," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 314-328.
    6. Giorgio Calzolari & Laura Neri, 2010. "The Method of Simulated Scores for Estimating Multinormal Regression Models with Missing Values," Econometrics Working Papers Archive wp2010_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    7. Tesfaselassie, M.F., 2005. "Communication, learning and optimal monetary policy," Other publications TiSEM 33c69063-eed7-4938-9f51-e, Tilburg University, School of Economics and Management.
    8. K. Triantafyllopoulos, 2007. "Covariance estimation for multivariate conditionally Gaussian dynamic linear models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 551-569.
    9. Pollock, D.S.G., 2006. "Introduction to the special issue on statistical signal extraction and filtering," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2137-2145, May.
    10. Awe Olushina Olawale & Adepoju Abosede Adedayo, 2020. "Change-point detection in CO2 emission-energy consumption nexus using a recursive Bayesian estimation approach," Statistics in Transition New Series, Statistics Poland, vol. 21(1), pages 123-136, March.
    11. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    12. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Godolphin, E.J. & Triantafyllopoulos, Kostas, 2006. "Decomposition of time series models in state-space form," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2232-2246, May.
    14. Robert A. Hill & Paulo M. M. Rodrigues, 2022. "Forgetting approaches to improve forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1356-1371, November.
    15. Carlisle E. Moody & Thomas B. Marvell, 2018. "The Impact of Right-to-Carry Laws: A Critique of the 2014 Version of Aneja, Donohue, and Zhang," Econ Journal Watch, Econ Journal Watch, vol. 15(1), pages 1-51–66, January.
    16. Izquierdo, Segismundo S. & Hernández, Cesáreo & del Hoyo, Juan, 2006. "Forecasting VARMA processes using VAR models and subspace-based state space models," MPRA Paper 4235, University Library of Munich, Germany.
    17. Heidorn, Thomas & Van Huellen, Sophie & Ruehl, C. & Woebbeking, F., 2017. "The long- and short-run impact of oil price changes on major global economies," Frankfurt School - Working Paper Series 225, Frankfurt School of Finance and Management.
    18. Freitas, Paulo S.A. & Rodrigues, Antonio J.L., 2006. "Model combination in neural-based forecasting," European Journal of Operational Research, Elsevier, vol. 173(3), pages 801-814, September.
    19. Lee, Woojoo & Lim, Johan & Lee, Youngjo & del Castillo, Joan, 2011. "The hierarchical-likelihood approach to autoregressive stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 248-260, January.

  11. D. S. G. Pollock, 2002. "A review of TSW: the Windows version of the TRAMO-SEATS program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 291-299.

    Cited by:

    1. Stephen Pollock, 2014. "Trends Cycles and Seasons: Econometric Methods of Signal Extraction," Discussion Papers in Economics 14/04, Division of Economics, School of Business, University of Leicester.
    2. A. Talha Yalta & A. Yasemin Yalta, 2010. "Gretl 1.6.0 and Its Numerical Accuracy," Working Papers 1003, TOBB University of Economics and Technology, Department of Economics.
    3. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577, May.
    4. Guy Mélard, 2016. "On some remarks about SEATS signal extraction," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 53-98, March.
    5. Maravall, Agustin, 2006. "An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2167-2190, May.
    6. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577.
    7. D.S.G. Pollock, 2007. "Investigating Economic Trends And Cycles," Discussion Papers in Economics 07/17, Division of Economics, School of Business, University of Leicester, revised Apr 2008.

  12. Pollock, D. S. G., 2001. "Methodology for trend estimation," Economic Modelling, Elsevier, vol. 18(1), pages 75-96, January.

    Cited by:

    1. Noriega, Antonio E. & Soria, Luis M. & Velázquez, Ramón, 2008. "International evidence on stochastic and deterministic monetary neutrality," Economic Modelling, Elsevier, vol. 25(6), pages 1261-1275, November.
    2. Luca Benati, 2001. "Band-pass filtering, cointegration, and business cycle analysis," Bank of England working papers 142, Bank of England.
    3. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    4. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.
    5. Marko Špiler & Tijana Matejić & Snežana Knežević & Marko Milašinović & Aleksandra Mitrović & Vesna Bogojević Arsić & Tijana Obradović & Dragoljub Simonović & Vukašin Despotović & Stefan Milojević & Mi, 2022. "Assessment of the Bankruptcy Risk in the Hotel Industry as a Condition of the COVID-19 Crisis Using Time-Delay Neural Networks," Sustainability, MDPI, vol. 15(1), pages 1-54, December.
    6. Godolphin, E.J. & Triantafyllopoulos, Kostas, 2006. "Decomposition of time series models in state-space form," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2232-2246, May.
    7. Phuong Nguyen-Hoang, 2015. "Volatile earmarked revenues and state highway expenditures in the United States," Transportation, Springer, vol. 42(2), pages 237-256, March.
    8. Kiani, Khurshid M., 2013. "Can signal extraction help predict risk premia in foreign exchange rates," Economic Modelling, Elsevier, vol. 33(C), pages 926-939.
    9. R. Velazquez & A.E. Noriega & L.M. Soria, 2004. "International Evidence on Monetary Neutrality Under Broken Trend Stationary Models," Econometric Society 2004 Latin American Meetings 57, Econometric Society.
    10. Crafts, Nicholas & Mills, Terence C., 2004. "Was 19th century British growth steam-powered?: the climacteric revisited," Explorations in Economic History, Elsevier, vol. 41(2), pages 156-171, April.
    11. Mills, Terence C. & Pentecost, Eric J., 2003. "Is there a relationship between real exchange rate movements and the output cycle?," Economic Modelling, Elsevier, vol. 20(3), pages 593-603, May.
    12. Stefanescu, Răzvan & Dumitriu, Ramona, 2019. "Obiective ale analizei trendurilor seriilor de timp discrete [Objectives of the analysis of trends in discrete time series]," MPRA Paper 97821, University Library of Munich, Germany, revised 23 Dec 2019.
    13. Terence C. Mills & David I. Harvey, 2003. "Modelling trends in central England temperatures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 35-47.

  13. Pollock, D S G, 2001. "Filters for Short Non-stationary Sequences," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(5), pages 341-355, August.
    See citations under working paper version above.
  14. Pollock, D. S. G., 2000. "Trend estimation and de-trending via rational square-wave filters," Journal of Econometrics, Elsevier, vol. 99(2), pages 317-334, December.

    Cited by:

    1. Daniel K. Mengisteab & Johannes W. Fedderke, 2016. "Estimating South Africa’s output gap and potential growth rate," Working Papers 67, Economic Research Southern Africa.
    2. José Eduardo Gómez & Jair Ojeda Joya & Fernando Tenjo Galarza & Héctor Manuel Zárate Solano, 2013. "The Interdependence between Credit and Real Business Cycles in Latin American Economies," Borradores de Economia 10833, Banco de la Republica.
    3. Blöchl, Andreas, 2014. "Penalized Splines as Frequency Selective Filters - Reducing the Excess Variability at the Margins," Discussion Papers in Economics 20687, University of Munich, Department of Economics.
    4. Marcel Schroder, 2013. "Should developing countries undervalue their currencies?," Departmental Working Papers 2013-12, The Australian National University, Arndt-Corden Department of Economics.
    5. Dimitrios Thomakos, 2008. "Optimal Linear Filtering, Smoothing and Trend Extraction for Processes with Unit Roots and Cointegration," Working Papers 0024, University of Peloponnese, Department of Economics.
    6. Terence Mills, 2007. "A Note on Trend Decomposition: The 'Classical' Approach Revisited with an Application to Surface Temperature Trends," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(8), pages 963-972.
    7. McElroy, Tucker & Sutcliffe, Andrew, 2006. "An iterated parametric approach to nonstationary signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2206-2231, May.
    8. Tommaso Proietti, 2009. "On the Model-Based Interpretation of Filters and the Reliability of Trend-Cycle Estimates," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 186-208.
    9. Sabaj, Ernil, 2018. "Cyclical Behavior of Fiscal Policy in the Western Balkans," MPRA Paper 84279, University Library of Munich, Germany.
    10. M. Ayhan Kose & Sergio Kurlat & Franziska Ohnsorge & Naotaka Sugawara, 2017. "A cross-country database of fiscal space," CAMA Working Papers 2017-48, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    11. David Shepherd & Rebeca I. Muñoz Torres & George Saridakis, 2019. "Monetary policy rules with PID control features: evidence from the UK, USA and EU," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(6), pages 737-755, November.
    12. Johannes W. Fedderke, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10142, South African Reserve Bank.
    13. Pollock, D.S.G., 2006. "Introduction to the special issue on statistical signal extraction and filtering," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2137-2145, May.
    14. Van Norden, Simon, 2004. "Filtres pour l’analyse courante," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 523-546, Juin-Sept.
    15. Luca Benati, 2001. "Band-pass filtering, cointegration, and business cycle analysis," Bank of England working papers 142, Bank of England.
    16. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    17. Iryna Sotnyk & Tetiana Kurbatova & Oleksandr Kubatko & Olha Prokopenko & Gunnar Prause & Yevhen Kovalenko & Galyna Trypolska & Uliana Pysmenna, 2021. "Energy Security Assessment of Emerging Economies under Global and Local Challenges," Energies, MDPI, vol. 14(18), pages 1-20, September.
    18. Qing Pei & David D Zhang & Harry F Lee & Guodong Li, 2014. "Climate Change and Macro-Economic Cycles in Pre-Industrial Europe," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-8, February.
    19. Priyadarshi Dash, 2017. "Predicting Financial Crises: A Study of Asian Economies," Global Business Review, International Management Institute, vol. 18(5), pages 1262-1277, October.
    20. André Nunes Maranhão, 2024. "Brazilian Business Cycle Analysis in a High-Dimensional and Time-Irregular Span Context," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 1-58, August.
    21. D.S.G. Pollock, 2008. "Statistical Fourier Analysis: Clarifications and Interpretations," Discussion Papers in Economics 08/36, Division of Economics, School of Business, University of Leicester.
    22. Panayotis G. Michaelides & Efthymios G. Tsionas & Angelos T. Vouldis & Konstantinos N. Konstantakis & Panagiotis Patrinos, 2018. "A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 637-675, March.
    23. Lechman, Ewa & Dominiak, Piotr, 2016. "Entrepreneurship vulnerability to business cycle. A new methodology for identification pro-cyclical and counter-cyclical patterns of entrepreneurial activity," MPRA Paper 68793, University Library of Munich, Germany.
    24. Claudio E. V. Borio & Andrew Filardo, 2007. "Globalisation and inflation: New cross-country evidence on the global determinants of domestic inflation," BIS Working Papers 227, Bank for International Settlements.
    25. Tadeusz Kufel, 2021. "Covid-19 Pandemic Lockdown vs. Business Cycle Clock Registration of New Passenger Cars in European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 875-890.
    26. Didier Nibbering & Richard Paap & Michel van der Wel, 2015. "What Do Professional Forecasters Actually Predict?," Tinbergen Institute Discussion Papers 15-095/III, Tinbergen Institute, revised 13 Oct 2017.
    27. D. S. G. Pollock, 2002. "A review of TSW: the Windows version of the TRAMO-SEATS program," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 291-299.
    28. Ivan Mendieta-Muñoz, 2014. "Is there any relationship between the rates of interest and profit in the U.S. economy?," Studies in Economics 1416, School of Economics, University of Kent.
    29. Pollock, D.S.G., 2006. "Econometric methods of signal extraction," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2268-2292, May.
    30. Stephen Pollock, 2014. "Econometric Filters," Discussion Papers in Economics 14/07, Division of Economics, School of Business, University of Leicester.
    31. Andrew Phiri, 2014. "Nonlinear Co-Integration Between Unemployment and Economic Growth in South Africa," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(4 (Winter), pages 303-324.
    32. Pollock, D. S. G., 2003. "Recursive estimation in econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 37-75, October.
    33. Siliverstovs Boriss, 2013. "Dating Business Cycles in Historical Perspective: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 661-679, October.
    34. Combey, Adama, 2014. "Le Policy mix de la zone UEMOA garantit-il la Stabilité Intérieure et la Croissance ? [Does the WAEMU Zone Policy mix Guarantees Internal Stability and growth?]," MPRA Paper 54064, University Library of Munich, Germany.
    35. Regina Kaiser & Agustín Maravall, 2004. "Combining filter design with model based filtering (with an application to business cycle estimation)," Working Papers 0417, Banco de España.
    36. Anelí Bongers & José L. Torres & Jesús Rodríguez, 2010. "Caracterización del ciclo económico en Andalucía 1980 - 2008," Economic Working Papers at Centro de Estudios Andaluces E2010/08, Centro de Estudios Andaluces.
    37. Vadim Kufenko, 2020. "Hide-and-Seek with time-series filters: a model-based Monte Carlo study," Empirical Economics, Springer, vol. 59(5), pages 2335-2361, November.
    38. Tommaso Proietti, 2012. "Seasonality, Forecast Extensions And Business Cycle Uncertainty," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 555-569, September.
    39. Ishita Ghoshal, 2022. "Cost-Push and Demand-Pull Inflation in India ? A Frequency Domain Analysis," Proceedings of Economics and Finance Conferences 13015641, International Institute of Social and Economic Sciences.
    40. Godolphin, E.J. & Triantafyllopoulos, Kostas, 2006. "Decomposition of time series models in state-space form," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2232-2246, May.
    41. Túlio Cravo, 2011. "Are Small Firms more cyclically Sensitive than Large Ones? National, Regional and Sectoral Evidence from Brazil," ERSA conference papers ersa10p507, European Regional Science Association.
    42. Vitor Castro & Boris Fisera, 2022. "Determinants of the Duration of Economic Recoveries: The Role of ´Too Much Finance´," Working Papers IES 2022/33, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2022.
    43. Simon van Norden, 2002. "Filtering for Current Analysis," Staff Working Papers 02-28, Bank of Canada.
    44. Lukáš Kučera, 2014. "Investment of Czech Institutional Sectors in the Business Cycle," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2014(1), pages 41-61.
    45. Phuong Nguyen-Hoang, 2015. "Volatile earmarked revenues and state highway expenditures in the United States," Transportation, Springer, vol. 42(2), pages 237-256, March.
    46. Kristian Jönsson, 2020. "Cyclical Dynamics and Trend/Cycle Definitions: Comparing the HP and Hamilton Filters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 151-162, November.
    47. D. Stephen G. Pollock, 2021. "Enhanced Methods of Seasonal Adjustment," Econometrics, MDPI, vol. 9(1), pages 1-23, January.
    48. Stephen Pollock, 2001. "Signal Extraction, Maximum Likelihood Estimation and the Start-up Problem," Working Papers 433, Queen Mary University of London, School of Economics and Finance.
    49. Thornton, Michael A., 2013. "Removing seasonality under a changing regime: Filtering new car sales," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 4-14.
    50. Schröder, Marcel, 2013. "Should developing countries undervalue their currencies?," Journal of Development Economics, Elsevier, vol. 105(C), pages 140-151.
    51. Yang, Jinyu & Dong, Dayong & Liang, Chao, 2024. "Climate policy uncertainty and the U.S. economic cycle," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    52. Stephen Pollock, 2005. "Econometric Methods of Signal Extraction," Working Papers 530, Queen Mary University of London, School of Economics and Finance.
    53. Lukáš Kučera & Karel Brůna, 2014. "Dynamika změny stavu zásob a její synchronizace s cyklem úspor a importu v české republice v letech 1999-2012 [A Dynamics of Inventories and Its Synchronization with a Cycle of Savings and Import i," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 605-629.
    54. Iolanda Lo Cascio & Stephen Pollock, 2007. "Comparative Economic Cycles," Working Papers 599, Queen Mary University of London, School of Economics and Finance.
    55. Jorge E. Galán, 2019. "Measuring credit-to-gdp gaps. The hodrick-prescott filter revisited," Occasional Papers 1906, Banco de España.
    56. Zhao, Shan & Wei, G. W., 2003. "Jump process for the trend estimation of time series," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 219-241, February.
    57. Emmanuel Apergis & Nicholas Apergis, 2019. "“Sakura” has not grown in a day: infrastructure investment and economic growth in Japan under different tax regimes," Empirical Economics, Springer, vol. 57(2), pages 541-567, August.
    58. Phiri, Andrew, 2014. "Re-evaluating Okun's law in South Africa: A nonlinear co-integration approach," MPRA Paper 57398, University Library of Munich, Germany.
    59. Crafts, Nicholas & Mills, Terence C., 2004. "Was 19th century British growth steam-powered?: the climacteric revisited," Explorations in Economic History, Elsevier, vol. 41(2), pages 156-171, April.
    60. Stephen Pollock, 2002. "Recursive Estimation in Econometrics," Working Papers 462, Queen Mary University of London, School of Economics and Finance.
    61. D.S.G. Pollock, 2009. "IDEOLOG: A Program for Filtering Econometric Data -- A Synopsis of Alternative Methods," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 2, pages 15-44, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    62. Michal Andrle, 2013. "What Is in Your Output Gap? Unified Framework & Decomposition into Observables," IMF Working Papers 2013/105, International Monetary Fund.
    63. D.S.G. Pollock, 2018. "The Manual for IDEOLOG.PAS. A Program for Filtering Econometric Data," Discussion Papers in Economics 19/09, Division of Economics, School of Business, University of Leicester.
    64. Sarah Lima & Marco Malgarini, 2016. "Does a Survey Based Capacity Utilization Measure Help Predicting Brazilian Output Gap in Real-Time?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 119-139, September.
    65. Schröder, Marcel, 2017. "Mercantilism and China's hunger for international reserves," China Economic Review, Elsevier, vol. 42(C), pages 15-33.
    66. Lukáš Kučera, 2018. "Investice v transmisním mechanismu cílování inflace verifikace zdrojů variability investic v České republice [Investment in the Transmission Mechanism of Inflation Targeting - Verification of Sourc," Politická ekonomie, Prague University of Economics and Business, vol. 2018(2), pages 201-217.
    67. Terence C. Mills & David I. Harvey, 2003. "Modelling trends in central England temperatures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(1), pages 35-47.
    68. Proietti, Tommaso, 2005. "New algorithms for dating the business cycle," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 477-498, April.
    69. D.S.G. Pollock, 2013. "Filtering macroeconomic data," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 5, pages 95-136, Edward Elgar Publishing.
    70. Huang, Ho-Chuan & Lin, Pei-Chien, 2016. "The trade effects of counter-cyclical fiscal policies," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 82-95.

  15. Merkus, H R & Pollock, D S G & de Vos, A F, 1993. "A Synopsis of the Smoothing Formulae Associated with the Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 6(3-4), pages 177-200, November.
    See citations under working paper version above.
  16. Pollock, D.S.G., 1988. "The Estimation of Linear Stochastic Models with Covariance Restrictions," Econometric Theory, Cambridge University Press, vol. 4(3), pages 403-427, December.

    Cited by:

    1. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "PML vs minimum χ 2 : the comeback," Working Papers wp2022_2210, CEMFI.

  17. Bekker, Paul A. & Pollock, D. S. G., 1986. "Identification of linear stochastic models with covariance restrictions," Journal of Econometrics, Elsevier, vol. 31(2), pages 179-208, March.
    See citations under working paper version above.
  18. Pollock, D S G, 1983. "Varieties of the LIML Estimator," Australian Economic Papers, Wiley Blackwell, vol. 22(41), pages 499-506, December.

    Cited by:

    1. Stephen Pollock, 2007. "Estimation of structural econometric equations (in Russian)," Quantile, Quantile, issue 2, pages 49-59, March.

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