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Michael D. Boldin

Personal Details

First Name:Michael
Middle Name:D.
Last Name:Boldin
Suffix:
RePEc Short-ID:pbo893

Affiliation

Research Department
Federal Reserve Bank of Philadelphia

Philadelphia, Pennsylvania (United States)
http://www.philadelphiafed.org/research-and-data/

:

10 Independence Mall, Philadelphia, PA 19106-1574
RePEc:edi:rfrbpus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Michael D. Boldin & Jonathan H. Wright, 2015. "Weather-adjusting employment data," Working Papers 15-5, Federal Reserve Bank of Philadelphia, revised 12 Jan 2015.
  2. Michael D. Boldin, 1995. "An efficient, three-step algorithm for estimating error-correction models with an application to the U.S. macroeconomy," Staff Reports 6, Federal Reserve Bank of New York.
  3. Michael D. Boldin, 1993. "Econometric analysis of the recent downturn in housing construction: was it a credit-crunch?," Research Paper 9332, Federal Reserve Bank of New York.
  4. Michael D. Boldin, 1993. "An evaluation of methods for determining turning points in the business cycle," Research Paper 9303, Federal Reserve Bank of New York.
  5. Joseph Abate & Michael D. Boldin, 1993. "The money-output link: are F-tests reliable?," Research Paper 9328, Federal Reserve Bank of New York.
  6. Michael D. Boldin, 1992. "Using switching models to study business cycle asymmetries: 1. overview of methodology and application," Research Paper 9211, Federal Reserve Bank of New York.
  7. Michael D. Boldin, 1990. "Sunspots, asset bubbles, and the store of value motive in overlapping generations models," Research Paper 9031, Federal Reserve Bank of New York.
  8. Michael D. Boldin, 1990. "Characterizing business cycles with a Markov switching model: evidence of multiple equilibria," Research Paper 9037, Federal Reserve Bank of New York.

Articles

  1. Boldin, Michael & Cici, Gjergji, 2010. "The index fund rationality paradox," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 33-43, January.
  2. Boldin Michael D., 1999. "Should Policy Makers Worry about Asymmetries in the Business Cycle?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-20, January.
  3. Boldin Michael D., 1996. "A Check on the Robustness of Hamilton's Markov Switching Model Approach to the Economic Analysis of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(1), pages 1-14, April.
  4. Boldin, Michael D, 1994. "Dating Turning Points in the Business Cycle," The Journal of Business, University of Chicago Press, vol. 67(1), pages 97-131, January.
  5. F. Gerard Adams & Jere R. Behrman & Michael Boldin, 1991. "Government Expenditures, Defense, and Economic Growth in the Ldcs: A Revised Perspective," Conflict Management and Peace Science, Peace Science Society (International), vol. 11(2), pages 19-35, February.

Books

  1. Michael D. Boldin & Ethan S. Harris & Mark Flaherty, 1994. "The credit crunch and the construction industry," Monograph, Federal Reserve Bank of New York, number 1994tccatc.

Citations

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

Working papers

  1. Michael D. Boldin & Jonathan H. Wright, 2015. "Weather-adjusting employment data," Working Papers 15-5, Federal Reserve Bank of Philadelphia, revised 12 Jan 2015.

    Cited by:

    1. Charles Fries & Francois Gourio, 2018. "Weather Shocks and Climate Change," 2018 Meeting Papers 1159, Society for Economic Dynamics.
    2. Christopher L. Foote, 2015. "Did abnormal weather affect U.S. employment growth in early 2015?," Current Policy Perspectives 15-2, Federal Reserve Bank of Boston.
    3. Tom Stark, 2015. "First quarters in the national income and product accounts," Research Rap Special Report, Federal Reserve Bank of Philadelphia.
    4. Erik Haustein & Sven Schreiber, 2016. "Adjusting production indices for varying weather effects," IMK Working Paper 171-2016, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    5. Caglar Yunculer, 2015. "Estimating the Bridging Day Effect on Turkish Industrial Production," CBT Research Notes in Economics 1515, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.

  2. Michael D. Boldin, 1993. "Econometric analysis of the recent downturn in housing construction: was it a credit-crunch?," Research Paper 9332, Federal Reserve Bank of New York.

    Cited by:

    1. Bernanke, Ben & Gertler, Mark, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Working Papers 95-15, C.V. Starr Center for Applied Economics, New York University.
    2. Anna Florio, 2013. "The Implied Consumer Euler Rate: What Role for Financial Frictions?," CESifo Economic Studies, CESifo, vol. 59(4), pages 650-675, December.
    3. Bose, Sukanya, 2001. "Monetary Policy and the Credit Channel: Evidence from India," MPRA Paper 28486, University Library of Munich, Germany.
    4. Leonardo Hernández & Óscar Landerretche, 2002. "Capital Inflows, Credit Booms, and Macroeconomic Vulnerability: The Cross-Country Experience," Central Banking, Analysis, and Economic Policies Book Series, in: Leonardo Hernández & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.), Banking, Financial Integration, and International Crises, edition 1, volume 3, chapter 7, pages 199-234, Central Bank of Chile.
    5. Forgionne, G. A., 1996. "Forecasting army housing supply with a DSS-delivered econometric model," Omega, Elsevier, vol. 24(5), pages 561-576, October.
    6. Cameron Harwick, 2019. "Bubbles and Broad Monetary Aggregates: Toward a Consensus Approach to Business Cycles," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(2), pages 250-268, April.
    7. Victor E. Li, 1998. "Household credit and the monetary transmission mechanism," Working Papers 1998-019, Federal Reserve Bank of St. Louis, revised 1998.

  3. Joseph Abate & Michael D. Boldin, 1993. "The money-output link: are F-tests reliable?," Research Paper 9328, Federal Reserve Bank of New York.

    Cited by:

    1. D. M. Nachane & Amlendu Kumar Dubey, 2008. "The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis," Macroeconomics Working Papers 22369, East Asian Bureau of Economic Research.
    2. D.M. Nachane & Amlendu Kumar Dubey, 2008. "The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-022, Indira Gandhi Institute of Development Research, Mumbai, India.

  4. Michael D. Boldin, 1992. "Using switching models to study business cycle asymmetries: 1. overview of methodology and application," Research Paper 9211, Federal Reserve Bank of New York.

    Cited by:

    1. Stephen F. Gordon & Andrew J. Filardo, 1993. "Business cycle durations," Research Working Paper 93-11, Federal Reserve Bank of Kansas City, revised 1993.
    2. Chan Guk Huh, 1998. "Forecasting industrial production using models with business cycle asymmetry," Economic Review, Federal Reserve Bank of San Francisco, pages 29-41.
    3. Kakes, Jan, 1998. "Monetary transmission and business cycle asymmetry," Research Report 98C36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    5. Chan Guk Huh, 1996. "Regime switching in the dynamic relationship between the federal funds rate and innovations in nonborrowed reserves," International Finance Discussion Papers 536, Board of Governors of the Federal Reserve System (U.S.), revised 1996.
    6. Luca Stanca, 1999. "Asymmetries and nonlinearities in Italian macroeconomic fluctuations," Applied Economics, Taylor & Francis Journals, vol. 31(4), pages 483-491.

  5. Michael D. Boldin, 1990. "Characterizing business cycles with a Markov switching model: evidence of multiple equilibria," Research Paper 9037, Federal Reserve Bank of New York.

    Cited by:

    1. Stephen F. Gordon & Andrew J. Filardo, 1993. "Business cycle durations," Research Working Paper 93-11, Federal Reserve Bank of Kansas City, revised 1993.
    2. Stern, Andrew, 2001. "Multiple regimes in the US inventory time-series: A disaggregate analysis," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 45-53, May.
    3. Nathan S. Balke & Mark A. Wynne, 1993. "Recessions and recoveries in real business cycle models: do real business cycle models generate cyclical behavior?," Working Papers 9322, Federal Reserve Bank of Dallas.
    4. Allan Layton & Daniel Smith, 2000. "A further note on the three phases of the US business cycle," Applied Economics, Taylor & Francis Journals, vol. 32(9), pages 1133-1143.

Articles

  1. Boldin, Michael & Cici, Gjergji, 2010. "The index fund rationality paradox," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 33-43, January.

    Cited by:

    1. Cici, Gjergji & Dahm, Laura K. & Kempf, Alexander, 2018. "Trading efficiency of fund families: Impact on fund performance and investment behavior," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 1-14.
    2. Utpal Bhattacharya & Benjamin Loos & Steffen Meyer & Andreas Hackethal, 2017. "Abusing ETFs," Review of Finance, European Finance Association, vol. 21(3), pages 1217-1250.
    3. Adams, John C. & Mansi, Sattar A. & Nishikawa, Takeshi, 2012. "Are mutual fund fees excessive?," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2245-2259.
    4. Cici, Gjergji, 2011. "The relation of the disposition effect to mutual fund trades and performance," CFR Working Papers 11-05, University of Cologne, Centre for Financial Research (CFR).
    5. Cici, Gjergji & Dahm, Laura K. & Kempf, Alexander, 2014. "Trading efficiency of fund families: Impact on fund performance and investment behavior," CFR Working Papers 14-14, University of Cologne, Centre for Financial Research (CFR).
    6. Klaus Grobys, 2012. "Active PortofolioManagement in the Presence of Regime Switching: What Are the Benefits of Defensive Asset Allocation Strategies If the Investor Faces Bear Markets?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 015-031, June.

  2. Boldin Michael D., 1999. "Should Policy Makers Worry about Asymmetries in the Business Cycle?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(4), pages 1-20, January.

    Cited by:

    1. Luis Eduardo Arango & Luis Fernando Melo, 2001. "Expansions and Contractions in Some Latin American Countries: A View Throught Non- Linear Models," BORRADORES DE ECONOMIA 002691, BANCO DE LA REPÚBLICA.
    2. Almeida, Pedro Cameira de & Fuinhas, José Alberto & Marques, António Cardoso, 2011. "A assimetria dos ciclos económicos: Evidência internacional usando o teste triples
      [The asymmetry of business cycles: International evidence using triples test]
      ," MPRA Paper 35208, University Library of Munich, Germany.
    3. Belaire-Franch Jorge & Peiro Amado, 2003. "Conditional and Unconditional Asymmetry in U.S. Macroeconomic Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(1), pages 1-19, April.
    4. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Investigating business cycle asymmetry for the G7 countries: Evidence from over a century of data," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 583-591, October.
    5. Charles Ka Yui Leung & Nan-Kuang Chen & Chih-Chiang Hsu, 2004. "Structural Break or Asymmetry? An Empirical Study of the Stock Wealth Effect on Consumption," Econometric Society 2004 Far Eastern Meetings 690, Econometric Society.
    6. Arango, Luis E. & Melo, Luis F., 2006. "Expansions and contractions in Brazil, Colombia and Mexico: A view through nonlinear models," Journal of Development Economics, Elsevier, vol. 80(2), pages 501-517, August.
    7. Zacharias Psaradakis & Marián Vávra, 2015. "A Quantile-based Test for Symmetry of Weakly Dependent Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(4), pages 587-598, July.
    8. Tsong, Ching-Chuan & Lee, Cheng-Feng, 2011. "Asymmetric inflation dynamics: Evidence from quantile regression analysis," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 668-680.
    9. Veli Yilanci, 2012. "Investigating Asymmetries in Macroeconomic Aggregates of Central and Eastern European Economies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 14(31), pages 223-229, February.
    10. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    11. Belaire-Franch Jorge & Contreras Dulce, 2003. "An Assessment of International Business Cycle Asymmetries using Clements and Krolzig's Parametric Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(4), pages 1-11, March.
    12. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    13. Zacharias Psaradakis & Martin Sola, 2003. "On detrending and cyclical asymmetry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 271-289.
    14. Njindan Iyke, Bernard, 2015. "Asymmetries, Structural Breaks, and Nonlinear Persistence: Evidence and Implications for Uncovering the Energy-Growth Nexus in Selected African Countries," MPRA Paper 67163, University Library of Munich, Germany.

  3. Boldin Michael D., 1996. "A Check on the Robustness of Hamilton's Markov Switching Model Approach to the Economic Analysis of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(1), pages 1-14, April.

    Cited by:

    1. Cem Cakmakli & Richard Paap & Dick J.C. van Dijk, 2011. "Modeling and Estimation of Synchronization in Multistate Markov-Switching Models," Tinbergen Institute Discussion Papers 11-002/4, Tinbergen Institute.
    2. Paap, R. & Segers, R. & van Dijk, D.J.C., 2007. "Do leading indicators lead peaks more than troughs?," Econometric Institute Research Papers EI 2007-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. van Dijk, D.J.C. & Franses, Ph.H.B.F., 1997. "Modelling Multiple Regimes in the Business Cycle," Econometric Institute Research Papers EI 9734/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. J. Polzehl & V. Spokoiny & C. Starica, 2004. "When did the 2001 recession really start?," Econometrics 0411017, University Library of Munich, Germany.
    5. Silvestro Di Sanzo, 2007. "Forecasting Time Series with Long Memory and Level Shifts, A Bayesian Approach," Working Papers 2007_03, Department of Economics, University of Venice "Ca' Foscari".
    6. Don U.A. Galagedera & Roland Shami, 2003. "Association between Markov regime-switching market volatility and beta risk: Evidence from Dow Jones industrial securities," Monash Econometrics and Business Statistics Working Papers 20/03, Monash University, Department of Econometrics and Business Statistics.
    7. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.
    8. Lubrano, Michel, 2004. "Modélisation bayésienne non linéaire du taux d’intérêt de court terme américain : l’aide des outils non paramétriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 465-499, Juin-Sept.
    9. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    10. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    11. Schuster, Philipp & Uhrig-Homburg, Marliese, 2012. "The term structure of bond market liquidity conditional on the economic environment: An analysis of government guaranteed bonds," Working Paper Series in Economics 45, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
    12. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España;Working Papers Homepage.
    13. Pål Nicolai Henriksen, 2011. "Pricing barrier options by a regime switching model," Quantitative Finance, Taylor & Francis Journals, vol. 11(8), pages 1221-1231.
    14. Medhioub, Imed, 2007. "Asymétrie des cycles économiques et changement de régimes : cas de la Tunisie," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 529-553, décembre.
    15. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    16. Michał Bernardelli & Monika Dędys, 2015. "Markov switching models in the analysis of business cycle synchronization," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 213-228.
    17. Maximo Camacho & Gabriel Pérez-Quirós & Hugo Rodríguez Mendizábal, 2009. "Are the high-growth recovery periods over?," Working Papers 382, Barcelona Graduate School of Economics.
    18. Kapetanios, G., 1999. "Threshold Models for Trended Time Series," Cambridge Working Papers in Economics 9905, Faculty of Economics, University of Cambridge.
    19. Máximo Camacho & Gabriel Pérez Quirós & Hugo Rodríguez Mendizábal, 2011. "High-growth recoveries, inventories and the great moderation," Post-Print hal-00828978, HAL.
    20. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415, December.
    21. Andreas A. Andrikopoulos & Dimitrios C. Gkountanis, 2011. "Issues and Models in Applied Econometrics: A partial survey," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 9(2), pages 107-165.
    22. Matteo Manera & Alessandro Cologni, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis for the G-7 Countries," Working Papers 2006.29, Fondazione Eni Enrico Mattei.
    23. Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
    24. 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.
    25. Thomas Theobald, 2012. "Real-time Markov Switching and Leading Indicators in Times of the Financial Crisis," IMK Working Paper 98-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    26. Morley James & Piger Jeremy & Tien Pao-Lin, 2013. "Reproducing business cycle features: are nonlinear dynamics a proxy for multivariate information?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 483-498, December.
    27. 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.
    28. Hiroyuki Kasahara & Katsumi Shimotsu, 2017. "Asymptotic Properties of the Maximum Likelihood Estimator in Regime Switching Econometric Models," CIRJE F-Series CIRJE-F-1049, CIRJE, Faculty of Economics, University of Tokyo.
    29. Sumru Altuğ & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Working Papers 0032, Yildiz Technical University, Department of Economics, revised Mar 2010.
    30. Jeremy Piger & James Morley & Chang-Jin Kim, 2005. "Nonlinearity and the permanent effects of recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 291-309.
    31. Johannes Hauptmann & Anja Hoppenkamps & Aleksey Min & Franz Ramsauer & Rudi Zagst, 2014. "Forecasting market turbulence using regime-switching models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 139-164, May.
    32. 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.
    33. Shami, R.G. & Forbes, C.S., 2000. "A structural Time Series Model with Markov Switching," Monash Econometrics and Business Statistics Working Papers 10/00, Monash University, Department of Econometrics and Business Statistics.
    34. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    35. Roland G. Shami & Catherine S. Forbes, 2002. "Non-linear Modelling of the Australian Business Cycle using a Leading Indicator," Monash Econometrics and Business Statistics Working Papers 5/02, Monash University, Department of Econometrics and Business Statistics.
    36. Marian Vavra, 2016. "Testing the Validity of Assumptions of UC-ARIMA Models for Trend-Cycle Decompositions," Working and Discussion Papers WP 4/2016, Research Department, National Bank of Slovakia.
    37. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    38. Vasif Abiyev & Reşat Ceylan & Munise Ilıkkan Özgür, 2015. "The Effects of Oil Price Shocks on Turkish Business Cycle: A Markov Switching Approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 8(2), pages 7-18, October.
    39. Gilbert Mbara, 2017. "Business Cycle Dating after the Great Moderation: A Consistent Two – Stage Maximum Likelihood Method," Working Papers 2017-13, Faculty of Economic Sciences, University of Warsaw.
    40. Jeremy M. Piger & James Morley, 2005. "The importance of nonlinearity in reproducing business cycle features," Working Papers 2004-032, Federal Reserve Bank of St. Louis, revised 2005.
    41. James Morley & Jeremy Piger & Pao-Lin Tien, 2009. "Reproducing Business Cycle Features: How Important Is Nonlinearity Versus Multivariate Information?," Wesleyan Economics Working Papers 2009-003, Wesleyan University, Department of Economics.
    42. Schuster, Philipp & Uhrig-Homburg, Marliese, 2015. "Limits to arbitrage and the term structure of bond illiquidity premiums," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 143-159.
    43. Manera, Matteo & Cologni, Alessandro, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis," International Energy Markets Working Papers 12121, Fondazione Eni Enrico Mattei (FEEM).
    44. Peter M. Summers & Penelope A. Smith, 2004. "Identification and normalization in Markov switching models of \\"business cycles\\"," Research Working Paper RWP 04-09, Federal Reserve Bank of Kansas City, revised 2004.

  4. Boldin, Michael D, 1994. "Dating Turning Points in the Business Cycle," The Journal of Business, University of Chicago Press, vol. 67(1), pages 97-131, January.

    Cited by:

    1. Garcia, R. & Schaller, H., 1995. "Are the Effects of Monetary Policy Asymmetric?," Cahiers de recherche 9505, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Karen E. Dynan & Douglas W. Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.), revised 2001.
    3. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2004. "Business cycle phases in U.S. states," Working Papers 2003-011, Federal Reserve Bank of St. Louis.
    4. Sergey V. Smirnov & Nikolai V. Kondrashov & Anna V. Petronevich, 2016. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," HSE Working papers WP BRP 122/EC/2016, National Research University Higher School of Economics.
    5. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    6. Enrique López Enciso, 2019. "Dos tradiciones en la medición del ciclo: historia general y desarrollos en Colombia," Tiempo y Economía, Universidad de Bogotá Jorge Tadeo Lozano, vol. 6(1), pages 77-142, February.
    7. Stern, Andrew, 2001. "Multiple regimes in the US inventory time-series: A disaggregate analysis," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 45-53, May.
    8. Robert A Buckle & David Haugh & Peter Thomson, 2002. "Growth and volatility regime switching models for New Zealand GDP data," Treasury Working Paper Series 02/08, New Zealand Treasury.
    9. Bennett T. McCallum, 2000. "On signal extraction and non-certainty-equivalence in optimal monetary policy rules, comments," Proceedings, Federal Reserve Bank of San Francisco.
    10. Issler, Joao Victor & Notini, Hilton & Rodrigues, Claudia & Soares, Ana Flávia, 2013. "Constructing coincident indices of economic activity for the Latin American economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    11. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
    12. Mejia-Reyes, P., 2004. "Classical Business Cycles in America: Are National Business Cycles Synchronised?," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 1(3), pages 75-102.
    13. Chang-Jin Kim & Chris Murray, 1999. "Permanent and Transitory Nature of Recessions," Working Papers 0041, University of Washington, Department of Economics.
    14. Andrea Carriero & Massimiliano Marcellino, 2007. "Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes," Working Papers 319, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    15. Patrick Asea & S. Brook Blomberg, 1997. "Lending Cycles," UCLA Economics Working Papers 764, UCLA Department of Economics.
    16. Francis W. Ahking, 2013. "Measuring U.S. Business Cycles: A Comparison of Two Methods and Two Indicators of Economic Activities," Working papers 2013-10, University of Connecticut, Department of Economics.
    17. Javier Gómez Biscarri, 2002. "Dating Recessions from Industrial Production Indexes: An Analysis for Europe and the US," Faculty Working Papers 05/02, School of Economics and Business Administration, University of Navarra.
    18. Michał Bernardelli & Monika Dędys, 2015. "Markov switching models in the analysis of business cycle synchronization," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 213-228.
    19. Simon M. Potter & Marcelle Chauvet & Chinhui Juhn, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.
    20. Jones, John Bailey, 2002. "Has fiscal policy helped stabilize the postwar U.S. economy?," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 709-746, May.
    21. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
    22. Beate Schirwitz, 2009. "A comprehensive German business cycle chronology," Empirical Economics, Springer, vol. 37(2), pages 287-301, October.
    23. Taylor, Larry W., 2009. "Using the Haar wavelet transform in the semiparametric specification of time series," Economic Modelling, Elsevier, vol. 26(2), pages 392-403, March.
    24. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2005. "The 2001 recession and the states of the Eighth Federal Reserve District," Regional Economic Development, Federal Reserve Bank of St. Louis, issue nov, pages 3-16.
    25. Bovi, M., 2005. "Economic Clubs and European Commitment. Evidence from the International Business Cycles," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(2), pages 101-122.
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  5. F. Gerard Adams & Jere R. Behrman & Michael Boldin, 1991. "Government Expenditures, Defense, and Economic Growth in the Ldcs: A Revised Perspective," Conflict Management and Peace Science, Peace Science Society (International), vol. 11(2), pages 19-35, February.

    Cited by:

    1. Hannah Galvin, 2003. "The impact of defence spending on the economic growth of developing countries: A cross-section study," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(1), pages 51-59.
    2. Wijeweera Albert & Webb Matthew J., 2010. "A Peace Dividend for Sri Lanka: The Case for a Return to Prosperity Following the End of Hostilities," Global Economy Journal, De Gruyter, vol. 10(2), pages 1-11, May.
    3. Obreja Brasoveanu, Laura, 2010. "The Impact of Defense Expenditure on Economic Growth," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 148-167, December.
    4. Isard Walter & Anderton Charles H., 1999. "Survey of the Peace Economics Literature: Recent Key Contributions and a Comprehensive Coverage Up to 1992 (Part I)," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 5(4), pages 1-42, October.
    5. Albert Wijeweera & Matthew J. Webb, 2012. "Using the Feder-Ram and Military Keynesian Models to Examine the Link Between Defence Spending and Economic Growth in Sri Lanka," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(3), pages 303-311, May.
    6. Saba Ismail, 2017. "Military Expenditure and Economic Growth in South Asian Countries: Empirical Evidences," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 318-325.

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