Heterogeneity in sectoral employment and the business cycle
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011.
"Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production,"
Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. Aggregate Shocks: A Structural Factor Analysis of Industrial Production," NBER Working Papers 14389, National Bureau of Economic Research, Inc.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. aggregate shocks : a structural factor analysis of industrial production," Working Paper 08-07, Federal Reserve Bank of Richmond.
- Pierre-Daniel Sarte & Mark Watson & Andrew Foerster, 2008. "Aggregate Shocks and the Variability of Industrial Production," 2008 Meeting Papers 224, Society for Economic Dynamics.
- Danny Quah & Thomas J. Sargent, 1993.
"A Dynamic Index Model for Large Cross Sections,"
NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 285-310,
National Bureau of Economic Research, Inc.
- Danny Quah & Thomas J. Sargent, 1992. "A dynamic index model for large cross sections," Discussion Paper / Institute for Empirical Macroeconomics 77, Federal Reserve Bank of Minneapolis.
- Danny Quah & Thomas J. Sargent, 1993. "A Dynamic Index Model for Large Cross Sections," CEP Discussion Papers dp0132, Centre for Economic Performance, LSE.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- John Shea, 1995. "Complementarities and Comovements," NBER Working Papers 5305, National Bureau of Economic Research, Inc.
- Xavier Gabaix, 2011.
"The Granular Origins of Aggregate Fluctuations,"
Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
- Xavier Gabaix, 2005. "The Granular Origins of Aggregate Fluctuations," 2005 Meeting Papers 470, Society for Economic Dynamics.
- Xavier Gabaix, 2009. "The Granular Origins of Aggregate Fluctuations," NBER Working Papers 15286, National Bureau of Economic Research, Inc.
- Mario Forni & Lucrezia Reichlin, 1998.
"Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
- Mario Forni & Lucrezia Reichlin, 1998. "Let's get real: a factor analytical approach to disaggregated business cycle dynamics," ULB Institutional Repository 2013/10147, ULB -- Universite Libre de Bruxelles.
- Shea, John S, 2002. "Complementarities and Comovements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 412-433, May.
- King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
- James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1, January.
- Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886, October.
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Nath, Hiranya K., 2016.
"A note on the cyclical behavior of sectoral employment in the U.S,"
Economic Analysis and Policy, Elsevier, vol. 50(C), pages 52-61.
- Hiranya Nath, 2016. "A Note on the Cyclical Behavior of Sectoral Employment in the U.S," Working Papers 1602, Sam Houston State University, Department of Economics and International Business.
- Jed Armstrong & Günes Kamber & Özer Karagedikli, 2016. "Developing a labour utilisation composite index for New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/04, Reserve Bank of New Zealand.
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.- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011.
"Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production,"
Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. Aggregate Shocks: A Structural Factor Analysis of Industrial Production," NBER Working Papers 14389, National Bureau of Economic Research, Inc.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. aggregate shocks : a structural factor analysis of industrial production," Working Paper 08-07, Federal Reserve Bank of Richmond.
- Pierre-Daniel Sarte & Mark Watson & Andrew Foerster, 2008. "Aggregate Shocks and the Variability of Industrial Production," 2008 Meeting Papers 224, Society for Economic Dynamics.
- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Francisco Corona & Pilar Poncela & Esther Ruiz, 2020.
"Estimating Non-stationary Common Factors: Implications for Risk Sharing,"
Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 37-60, January.
- Corona, Francisco & Poncela, Pilar, 2017. "Estimating non-stationary common factors : Implications for risk sharing," DES - Working Papers. Statistics and Econometrics. WS 24585, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2012.
"Asymptotics for Panel Models with Common Shocks,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 390-439.
- Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "The Asymptotics for Panel Models with Common Shocks," Center for Policy Research Working Papers 77, Center for Policy Research, Maxwell School, Syracuse University.
- Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "Asymptotics for panel models with common shocks," Working Papers 0615, Department of Management, Information and Production Engineering, University of Bergamo.
- Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2005.
"The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting,"
Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 830-840, September.
- Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," CEPR Discussion Papers 3432, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2005. "The generalised dynamic factor model: one sided estimation and forecasting," ULB Institutional Repository 2013/10129, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003. "The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting," LEM Papers Series 2003/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Forni M. & Hallin M., 2003. "The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting," Computing in Economics and Finance 2003 143, Society for Computational Economics.
- Hwee Kwan Chow & Keen Meng Choy, 2009.
"Analyzing and forecasting business cycles in a small open economy: A dynamic factor model for Singapore,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2009(1), pages 19-41.
- Hwee Kwan Chow & Keen Meng Choy, 2009. "Analyzing and Forecasting Business Cycles in a Small Open Economy: A Dynamic Factor Model for Singapore," Working Papers 05-2009, Singapore Management University, School of Economics.
- Hwee Kwan Chow & Keen Meng Choy, 2009. "Analyzing and Forecasting Business Cycles in a Small Open Economy : A Dynamic Factor Model for Singapore," Macroeconomics Working Papers 22074, East Asian Bureau of Economic Research.
- Massimiliano Marcellino & Carlo A. Favero & Francesca Neglia, 2005.
"Principal components at work: the empirical analysis of monetary policy with large data sets,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 603-620.
- Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, "undated". "Principal components at work: The empirical analysis of monetary policy with large datasets," Working Papers 223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021.
"Factor extraction using Kalman filter and smoothing: This is not just another survey,"
International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
- Poncela Blanco, Maria Pilar, 2020. "Factor extraction using Kalman filter and smoothing: this is not just another survey," DES - Working Papers. Statistics and Econometrics. WS 30644, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Marcellino, Massimiliano & Kapetanios, George, 2006.
"Impulse Response Functions from Structural Dynamic Factor Models: A Monte Carlo Evaluation,"
CEPR Discussion Papers
5621, C.E.P.R. Discussion Papers.
- Massimiliano Marcellino & George Kapetanios, 2006. "Impulse Response Functions from Structural Dynamic Factor Models:A Monte Carlo Evaluation," Working Papers 306, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- George Kapetanios & Massimiliano Marcellino, 2009.
"A parametric estimation method for dynamic factor models of large dimensions,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 30(2), pages 208-238, March.
- Marcellino, Massimiliano & Kapetanios, George, 2006. "A Parametric Estimation Method for Dynamic Factor Models of Large Dimensions," CEPR Discussion Papers 5620, C.E.P.R. Discussion Papers.
- António Rua & Francisco Craveiro Dias, 2008. "Determining the number of factors in approximate factor models with global and group-specific factors," Working Papers w200809, Banco de Portugal, Economics and Research Department.
- Brownlees, Christian & Mesters, Geert, 2021.
"Detecting granular time series in large panels,"
Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
- Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
- Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
- Bork, Lasse, 2009.
"Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach,"
Finance Research Group Working Papers
F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Lasse Bork, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," CREATES Research Papers 2009-11, Department of Economics and Business Economics, Aarhus University.
- Massimiliano Marcellino & George Kapetanios, 2006. "The Role of Search Frictions and Bargaining for Inflation Dynamics," Working Papers 305, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015.
"Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
- Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.
- Giannone, Domenico & Banbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," CEPR Discussion Papers 9931, C.E.P.R. Discussion Papers.
- Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
- Arvid Raknerud & Terje Skjerpen & Anders Rygh Swensen, 2010.
"Forecasting key macroeconomic variables from a large number of predictors: a state space approach,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 367-387.
- Arvid Raknerud & Terje Skjerpen & Anders Rygh Swensen, 2007. "Forecasting key macroeconomic variables from a large number of predictors: A state space approach," Discussion Papers 504, Statistics Norway, Research Department.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2004.
"The generalized dynamic factor model consistency and rates,"
Journal of Econometrics, Elsevier, vol. 119(2), pages 231-255, April.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2004. "The generalised dynamic factor model: consistency and rates," ULB Institutional Repository 2013/10133, ULB -- Universite Libre de Bruxelles.
- Alberto Humala & Gabriel Rodr�guez, 2012.
"A factorial decomposition of inflation in Peru: an alternative measure of core inflation,"
Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1331-1334, September.
- Alberto Humala & Gabriel Rodríguez, 2011. "A Factorial Decomposition Of Inflation In Peru, An Alternative Measure Of Core Inflation," Documentos de Trabajo / Working Papers 2011-315, Departamento de Economía - Pontificia Universidad Católica del Perú.
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:fip:fedreq:y:2009:i:fall:p:335-355:n:v.95no.4. 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 Pascasio (email available below). General contact details of provider: https://edirc.repec.org/data/frbrius.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.