IDEAS home Printed from https://ideas.repec.org/p/red/sed019/977.html
   My bibliography  Save this paper

Pigouvian Cycles

Author

Listed:
  • Renato Faccini

    (Queen Mary University)

  • Leonardo Melosi

    (Chicago Fed)

Abstract

Low-frequency variations in current and expected unemployment rates are important to identify TFP news shocks and to allow a general equilibrium rational expectations model to generate Pigouvian cycles: a large fraction of the comovement of output, consumption, investment, employment, and real wages is explained by changes in expectations unrelated to TFP fundamentals. The model predicts that the start (end) of most U.S. recessions is associated with agents realizing that previous enthusiastic (lukewarm) expectations about future TFP would not be met.

Suggested Citation

  • Renato Faccini & Leonardo Melosi, 2019. "Pigouvian Cycles," 2019 Meeting Papers 977, Society for Economic Dynamics.
  • Handle: RePEc:red:sed019:977
    as

    Download full text from publisher

    File URL: https://red-files-public.s3.amazonaws.com/meetpapers/2019/paper_977.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Cooper, Russell & Haltiwanger, John & Willis, Jonathan L., 2015. "Dynamics of labor demand: Evidence from plant-level observations and aggregate implications," Research in Economics, Elsevier, vol. 69(1), pages 37-50.
    2. Luca Sala & Ulf Söderström & Antonella Trigari, 2013. "Structural and Cyclical Forces in the Labor Market during the Great Recession: Cross-Country Evidence," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 345-404.
    3. Christiano, Lawrence J. & Trabandt, Mathias & Walentin, Karl, 2011. "Introducing financial frictions and unemployment into a small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 1999-2041.
    4. Renato Faccini & Eran Yashiv, 2022. "The importance of hiring frictions in business cycles," Quantitative Economics, Econometric Society, vol. 13(3), pages 1101-1143, July.
    5. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
    6. Andr? Kurmann & Elmar Mertens, 2014. "Stock Prices, News, and Economic Fluctuations: Comment," American Economic Review, American Economic Association, vol. 104(4), pages 1439-1445, April.
    7. Manning, Alan, 2011. "Imperfect Competition in the Labor Market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 11, pages 973-1041, Elsevier.
    8. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    9. Mark Gertler & Luca Sala & Antonella Trigari, 2008. "An Estimated Monetary DSGE Model with Unemployment and Staggered Nominal Wage Bargaining," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1713-1764, December.
    10. Daniel Aaronson & Daniel G. Sullivan, 2002. "Growth in worker quality," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Feb.
    11. Blanchard, Olivier & Wolfers, Justin, 2000. "The Role of Shocks and Institutions in the Rise of European Unemployment: The Aggregate Evidence," Economic Journal, Royal Economic Society, vol. 110(462), pages 1-33, March.
    12. Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2013. "News, Noise, and Fluctuations: An Empirical Exploration," American Economic Review, American Economic Association, vol. 103(7), pages 3045-3070, December.
    13. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2013. "Does Indivisible Labor Explain the Difference between Micro and Macro Elasticities? A Meta-Analysis of Extensive Margin Elasticities," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 1-56.
    14. Stefan Avdjiev, 2016. "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 181-197, April.
    15. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
    16. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    17. Pierpaolo Benigno & Luca Antonio Ricci & Paolo Surico, 2015. "Unemployment and Productivity in the Long Run: The Role of Macroeconomic Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 698-709, July.
    18. Lawrence J. Christiano & Cosmin Ilut & Roberto Motto & Massimo Rostagno, 2010. "Monetary policy and stock market booms," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 85-145.
    19. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    20. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers REM 2018/33, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    21. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    22. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    23. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Manuel S. Santos, 2006. "Convergence Properties of the Likelihood of Computed Dynamic Models," Econometrica, Econometric Society, vol. 74(1), pages 93-119, January.
    24. John Maurice Clark, 1934. "Strategic Factors in Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number clar34-1.
    25. Ann P. Bartel & Nancy D. Beaulieu & Ciaran S. Phibbs & Patricia W. Stone, 2014. "Human Capital and Productivity in a Team Environment: Evidence from the Healthcare Sector," American Economic Journal: Applied Economics, American Economic Association, vol. 6(2), pages 231-259, April.
    26. Jeffrey R. Campbell & Charles L. Evans & Jonas D.M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic Effects of Federal Reserve Forward Guidance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 1-80.
    27. Marc Blatter & Samuel Muehlemann & Samuel Schenker & Stefan C. Wolter, 2016. "Hiring costs for skilled workers and the supply of firm-provided training," Oxford Economic Papers, Oxford University Press, vol. 68(1), pages 238-257.
    28. Muehlemann, Samuel & Strupler Leiser, Mirjam, 2018. "Hiring costs and labor market tightness," Labour Economics, Elsevier, vol. 52(C), pages 122-131.
    29. Sims, Christopher A & Uhlig, Harald, 1991. "Understanding Unit Rooters: A Helicopter Tour," Econometrica, Econometric Society, vol. 59(6), pages 1591-1599, November.
    30. Thuy Lan Nguyen & Wataru Miyamoto, 2014. "News shocks and Business cycles: Evidence from forecast data," 2014 Meeting Papers 259, Society for Economic Dynamics.
    31. Jeffrey R. Campbell & Jonas D. M. Fisher & Alejandro Justiniano & Leonardo Melosi, 2017. "Forward Guidance and Macroeconomic Outcomes since the Financial Crisis," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 283-357.
    32. Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, September.
    33. Den Haan, Wouter J. & Kaltenbrunner, Georg, 2009. "Anticipated growth and business cycles in matching models," Journal of Monetary Economics, Elsevier, vol. 56(3), pages 309-327, April.
    34. Paul Beaudry & Bernd Lucke, 2010. "Letting Different Views about Business Cycles Compete," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 413-455, National Bureau of Economic Research, Inc.
    35. Eric Leeper & Todd Walker, 2011. "Information Flows and News Driven Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 55-71, January.
    36. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    37. Neville Francis & Valerie A. Ramey, 2009. "Measures of per Capita Hours and Their Implications for the Technology-Hours Debate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1071-1097, September.
    38. Ryan Chahrour & Kyle Jurado, 2018. "News or Noise? The Missing Link," American Economic Review, American Economic Association, vol. 108(7), pages 1702-1736, July.
    39. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    40. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    41. Schmitt-Grohe, Stephanie & Uribe, Martin, 2004. "Solving dynamic general equilibrium models using a second-order approximation to the policy function," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 755-775, January.
    42. Refet S Gürkaynak & Brian Sack & Eric Swanson, 2005. "Do Actions Speak Louder Than Words? The Response of Asset Prices to Monetary Policy Actions and Statements," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    43. Mühlemann, Samuel & Strupler Leiser, Mirjam, 2015. "Ten Facts You Need To Know About Hiring," IZA Discussion Papers 9363, Institute of Labor Economics (IZA).
    44. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018. "The Formation of Expectations, Inflation, and the Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
    45. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    46. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    47. Robert J. Barro & Robert G. King, 1984. "Time-Separable Preferences and Intertemporal-Substitution Models of Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 817-839.
    48. Konstantinos Theodoridis & Francesco Zanetti, 2016. "News shocks and labour market dynamics in matching models," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 906-930, August.
    49. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    50. Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.
    51. Silva, José Ignacio & Toledo, Manuel, 2009. "Labor Turnover Costs And The Cyclical Behavior Of Vacancies And Unemployment," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S1), pages 76-96, May.
    52. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    53. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    54. Robert Barsky & Alejandro Justiniano & Leonardo Melosi, 2014. "The Natural Rate of Interest and Its Usefulness for Monetary Policy," American Economic Review, American Economic Association, vol. 104(5), pages 37-43, May.
    55. Kyle Jurado, 2016. "Advance Information and Distorted Beliefs in Macroeconomic and Financial Fluctuations," 2016 Meeting Papers 154, Society for Economic Dynamics.
    56. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.
    57. Burnside, Craig, 1996. "Production function regressions, returns to scale, and externalities," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 177-201, April.
    58. Paul Beaudry & Deokwoo Nam & Jian Wang, 2011. "Do Mood Swings Drive Business Cycles and is it Rational?," NBER Working Papers 17651, National Bureau of Economic Research, Inc.
    59. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    60. Robert E. Hall, 2005. "Employment Fluctuations with Equilibrium Wage Stickiness," American Economic Review, American Economic Association, vol. 95(1), pages 50-65, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ryan Chahrour & Sanjay K. Chugh & Tristan Potter, 2023. "Anticipated productivity and the labor market," Quantitative Economics, Econometric Society, vol. 14(3), pages 897-934, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Renato Faccini & Leonardo Melosi, 2018. "The Role of News about TFP in U.S. Recessions and Booms," Working Paper Series WP-2018-6, Federal Reserve Bank of Chicago.
    2. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    3. Renato Faccini & Eran Yashiv, 2022. "The importance of hiring frictions in business cycles," Quantitative Economics, Econometric Society, vol. 13(3), pages 1101-1143, July.
    4. Ramey, V.A., 2016. "Macroeconomic Shocks and Their Propagation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 71-162, Elsevier.
    5. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
    6. Miranda-Agrippino, Silvia & Hacıoglu Hoke, Sinem, 2018. "When creativity strikes: news shocks and business cycle fluctuations," LSE Research Online Documents on Economics 90381, London School of Economics and Political Science, LSE Library.
    7. Stefan Avdjiev, 2016. "News Driven Business Cycles and Data on Asset Prices in Estimated DSGE Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 181-197, April.
    8. Theodoridis, Konstantinos & Zanetti, Francesco, 2014. "News and labour market dynamics in the data and in matching models," Bank of England working papers 488, Bank of England.
    9. Nadav Ben Zeev, 2019. "Is There A Single Shock That Drives The Majority Of Business Cycle Fluctuations?," Working Papers 1906, Ben-Gurion University of the Negev, Department of Economics.
    10. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    11. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2016. "Unemployment and Business Cycles," Econometrica, Econometric Society, vol. 84(4), pages 1523-1569, July.
    12. Lorenzo Bretscher & Andrea Tamoni & Aytek Malkhozov, 2019. "News Shocks and Asset Prices," 2019 Meeting Papers 100, Society for Economic Dynamics.
    13. Christoph Görtz & John D. Tsoukalas & Francesco Zanetti, 2022. "News Shocks under Financial Frictions," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 210-243, October.
    14. Justiniano, Alejandro & Primiceri, Giorgio E. & Tambalotti, Andrea, 2010. "Investment shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 57(2), pages 132-145, March.
    15. Martin Kliem & Alexander Meyer‐Gohde, 2022. "(Un)expected monetary policy shocks and term premia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 477-499, April.
    16. Hirose, Yasuo & Kurozumi, Takushi, 2021. "Identifying News Shocks With Forecast Data," Macroeconomic Dynamics, Cambridge University Press, vol. 25(6), pages 1442-1471, September.
    17. Ryan Chahrour & Sanjay K. Chugh & Tristan Potter, 2023. "Anticipated productivity and the labor market," Quantitative Economics, Econometric Society, vol. 14(3), pages 897-934, July.
    18. Liao, Shian-Yu & Chen, Been-Lon, 2023. "News shocks to investment-specific technology in business cycles," European Economic Review, Elsevier, vol. 152(C).
    19. Nikolaos Kokonas & Paulo Santos Monteiro, 2020. "The Ins and Outs of Unemployment in General Equilibrium," Discussion Papers 2014, Centre for Macroeconomics (CFM).
    20. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.

    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:red:sed019:977. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

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