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Maxym Kryshko

Personal Details

First Name:Maxym
Middle Name:
Last Name:Kryshko
Suffix:
RePEc Short-ID:pkr391
[This author has chosen not to make the email address public]
Terminal Degree:2010 Department of Economics; University of Pennsylvania (from RePEc Genealogy)

Affiliation

International Monetary Fund (IMF)

Washington, District of Columbia (United States)
http://www.imf.org/
RePEc:edi:imfffus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mr. David A. Grigorian & Mr. Maxym Kryshko, 2017. "Deposit Insurance, Remittances, and Dollarization: Survey-Based Evidence from a Top Remittance-Receiving Country," IMF Working Papers 2017/132, International Monetary Fund.
  2. Mr. Maxym Kryshko, 2011. "Bayesian Dynamic Factor Analysis of a Simple Monetary DSGE Model," IMF Working Papers 2011/219, International Monetary Fund.
  3. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
  4. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
  5. Frank Schorfheide & Keith Sill & Maxym Kryshko, 2009. "DSGE Model-Based Forecasting of Non-modelled Variables," NBER Working Papers 14872, National Bureau of Economic Research, Inc.
  6. David Cass & Abhinash Borah & Kyungmin Kim & Maxym Kryshko & Antonio Penta & Jonathan Pogach, 2009. "Robustness of the Uniqueness of Walrasian Equilibrium with Cobb-Douglas Utilities," PIER Working Paper Archive 09-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.

Articles

  1. David A. Grigorian & Maxym Kryshko, 2019. "Deposit insurance, remittances, and dollarization: Survey‐based evidence from a top remittance‐receiving country," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(3), November.
  2. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
  3. Schorfheide, Frank & Sill, Keith & Kryshko, Maxym, 2010. "DSGE model-based forecasting of non-modelled variables," International Journal of Forecasting, Elsevier, vol. 26(2), pages 348-373, April.

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. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.

    Mentioned in:

    1. Technology shocks and hours: it is the identification, stupid!
      by Economic Logician in Economic Logic on 2009-10-13 19:05:00

Working papers

  1. Mr. David A. Grigorian & Mr. Maxym Kryshko, 2017. "Deposit Insurance, Remittances, and Dollarization: Survey-Based Evidence from a Top Remittance-Receiving Country," IMF Working Papers 2017/132, International Monetary Fund.

    Cited by:

    1. Rösl, Gerhard & Seitz, Franz, 2023. "Uncertainty, politics, and crises: The case for cash," IMFS Working Paper Series 186, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Harri Ramcharran, 2020. "Analyzing the impact of workers’ remittances on household consumption in Latin American and Caribbean Countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(1), pages 59-77, January.

  2. Mr. Maxym Kryshko, 2011. "Bayesian Dynamic Factor Analysis of a Simple Monetary DSGE Model," IMF Working Papers 2011/219, International Monetary Fund.

    Cited by:

    1. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    2. Zhicheng Zhou & Prapatchon Jariyapan, 2013. "The impact of macroeconomic policies to real estate market in People's Republic of China," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 75-92, September.
    3. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.
    4. Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.

  3. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.

    Cited by:

    1. Chen, Liang, 2012. "Identifying observed factors in approximate factor models: estimation and hypothesis testing," MPRA Paper 37514, University Library of Munich, Germany.
    2. IIBOSHI Hirokuni & MATSUMAE Tatsuyoshi & NISHIYAMA Shin-Ichi, 2014. "Sources of the Great Recession：A Bayesian Approach of a Data-Rich DSGE model with Time-Varying Volatility Shocks," ESRI Discussion paper series 313, Economic and Social Research Institute (ESRI).
    3. Stelios D. Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Open Access publications 10197/7329, School of Economics, University College Dublin.
    4. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.

  4. Cristina Fuentes-Albero & Maxym Kryshko & José-Víctor Ríos-Rull & Raul Santaeulalia-Llopis & Frank Schorfheide, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    2. Alejandro Justiniano & Bruce Preston, 2006. "Can Structural Small Open Economy Models Account for the Influence of Foreign Disturbances?," 2006 Meeting Papers 479, Society for Economic Dynamics.
    3. Yao, Fang, 2009. "Real and nominal rigidities in price setting: A bayesian analysis using aggregate data," SFB 649 Discussion Papers 2009-057, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. Alejandro Justiniano & Claudio Michelacci, 2012. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the United States and Europe," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 8(1), pages 169-235.
    5. Cruz Echevarría, 2015. "Income tax progressivity, growth, income inequality and welfare," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 43-72, March.
    6. Enrique Martínez García & Diego Vilán & Mark A. Wynne, 2012. "Bayesian estimation of NOEM models: identification and inference in small samples," Globalization Institute Working Papers 105, Federal Reserve Bank of Dallas.
    7. Frank Schorfheide, 2011. "Estimation and Evaluation of DSGE Models: Progress and Challenges," NBER Working Papers 16781, National Bureau of Economic Research, Inc.
    8. Ikeda, Daisuke, 2015. "Optimal inflation rates with the trending relative price of investment," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 20-33.
    9. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    10. Furlanetto, Francesco & Natvik, Gisle J. & Seneca, Martin, 2013. "Investment shocks and macroeconomic co-movement," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 208-216.
    11. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
    12. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    13. Alejandro Justiniano & Claudio Michelacci, 2011. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the US and Europe," NBER Working Papers 17429, National Bureau of Economic Research, Inc.
    14. Jesús Rodríguez López, 2010. "Growth, fluctuations and technology in the U.S. post-war economy," Working Papers 10.01, Universidad Pablo de Olavide, Department of Economics.
    15. Yao, Fang, 2010. "Aggregate hazard function in price-setting: A bayesian analysis using macro data," SFB 649 Discussion Papers 2010-020, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    16. Nikolay Iskrev, 2013. "On the distribution of information in the moment structure of DSGE models," 2013 Meeting Papers 339, Society for Economic Dynamics.

  5. Frank Schorfheide & Keith Sill & Maxym Kryshko, 2009. "DSGE Model-Based Forecasting of Non-modelled Variables," NBER Working Papers 14872, National Bureau of Economic Research, Inc.

    Cited by:

    1. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    2. Andrés González Gómez & Lavan Mahadeva & Diego Rodríguez & Luis Eduardo Rojas, 2009. "Monetary Policy Forecasting In A Dsge Model With Data That Is Uncertain, Unbalanced And About The Future," Borradores de Economia 5480, Banco de la Republica.
    3. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    4. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    5. Chris McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," Reserve Bank of New Zealand Discussion Paper Series DP2016/10, Reserve Bank of New Zealand.
    6. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    7. Rangan Gupta & Patrick T. Kanda & Mampho P. Modise & Alessia Paccagnini, 2015. "DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa," Open Access publications 10197/7351, School of Economics, University College Dublin.
    8. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    9. Dr. Barbara Rudolf & Mathias Zurlinden, 2014. "A compact open economy DSGE model for Switzerland," Economic Studies 2014-08, Swiss National Bank.
    10. Martin Fukaè & Vladimír Havlena, 2011. "A Note on the Role of the Natural Condition of Control in the Estimation of DSGE Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 453-466, November.
    11. Stelios D. Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Open Access publications 10197/7329, School of Economics, University College Dublin.
    12. Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Namba, Ryoichi & Nishiyama, Shin-Ichi, 2015. "Estimating a DSGE model for Japan in a data-rich environment," Journal of the Japanese and International Economies, Elsevier, vol. 36(C), pages 25-55.
    13. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    14. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019. "Forecasting with instabilities: an application to DSGE models with financial frictions," Temi di discussione (Economic working papers) 1234, Bank of Italy, Economic Research and International Relations Area.
    15. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    16. Juan Guerra-Salas & Markus Kirchner & Rodrigo Tranamil, 2020. "Online Appendix to "Search Frictions and the Business Cycle in a Small Open Economy DSGE Model"," Online Appendices 18-407, Review of Economic Dynamics.
    17. Dean Croushore & Keith Sill, 2014. "Analyzing data revisions with a dynamic stochastic general equilibrium model," Working Papers 14-29, Federal Reserve Bank of Philadelphia.
    18. Herbst, Edward & Schorfheide, Frank, 2012. "Evaluating DSGE model forecasts of comovements," Journal of Econometrics, Elsevier, vol. 171(2), pages 152-166.
    19. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    20. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    21. Wolden Bache, Ida & Sofie Jore, Anne & Mitchell, James & Vahey, Shaun P., 2011. "Combining VAR and DSGE forecast densities," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1659-1670, October.
    22. Galvao, Ana Beatriz, 2016. "Data Revisions and DSGE Models," EMF Research Papers 11, Economic Modelling and Forecasting Group.
    23. Rangan Gupta & Patrick Kanda & Mampho Modise & Alessia Paccagnini, 2013. "DGSE Model-Based Forecasting of Modeled and Non-Modeled Inflation Variables in South Africa," Working Papers 259, University of Milano-Bicocca, Department of Economics, revised Nov 2013.
    24. Shaun de Jager & Michael Johnston & Rudi Steinbach, 2015. "A Revised Quarterly Projection Model for South Africa," Working Papers 6839, South African Reserve Bank.
    25. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    26. Markus Kirchner & Rodrigo Tranamil, 2016. "Calvo Wages Vs. Search Frictions: a Horse Race in a DSGE Model of a Small Open Economy," Working Papers Central Bank of Chile 778, Central Bank of Chile.
    27. Dario Caldara & Richard Harrison & Anna Lipińska, 2014. "Practical Tools For Policy Analysis In Dsge Models With Missing Shocks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1145-1163, November.
    28. Ruey Yau & C. James Hueng, 2019. "Nowcasting GDP Growth for Small Open Economies with a Mixed-Frequency Structural Model," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 177-198, June.

Articles

  1. David A. Grigorian & Maxym Kryshko, 2019. "Deposit insurance, remittances, and dollarization: Survey‐based evidence from a top remittance‐receiving country," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(3), November.
    See citations under working paper version above.
  2. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.

    Cited by:

    1. Koh, Dongya & Santaeulà lia-Llopis, Raül, 2022. "Countercyclical Elasticity of Substitution," CEPR Discussion Papers 17246, C.E.P.R. Discussion Papers.
    2. Stephen Morris, 2014. "The Statistical Implications of Common Identifying Restrictions for DSGE Models," 2014 Meeting Papers 738, Society for Economic Dynamics.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. S. BoraÄŸan Aruoba & Pablo Cuba-Borda & Frank Schorfheide, 2012. "Macroeconomic Dynamics Near the ZLB: A Tale of Two Countries," PIER Working Paper Archive 14-035, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 19 Jun 2014.
    5. Valerio Scalone, 2018. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working papers 688, Banque de France.
    6. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    7. Mennuni, Alessandro, 2019. "The aggregate implications of changes in the labour force composition," European Economic Review, Elsevier, vol. 116(C), pages 83-106.
    8. Callum Jones, 2018. "Aging, Secular Stagnation and the Business Cycle," IMF Working Papers 2018/067, International Monetary Fund.
    9. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    10. Enrique Martínez García & Mark A. Wynne, 2014. "Assessing Bayesian model comparison in small samples," Globalization Institute Working Papers 189, Federal Reserve Bank of Dallas.
    11. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    12. Yashar Blouri & Maximilian von Ehrlich, 2017. "On the Optimal Design of Place-Based Policies: A Structural Evaluation of EU Regional Transfers," CESifo Working Paper Series 6742, CESifo.
    13. Marco Cozzi, 2022. "Heterogeneity in Macroeconomics and the Minimal Econometric Interpretation for Model Comparison," Department Discussion Papers 2010, Department of Economics, University of Victoria.
    14. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Michael T. Belongia & Peter N. Ireland, 2019. "A Reconsideration of Money Growth Rules," Boston College Working Papers in Economics 976, Boston College Department of Economics.
    16. Parra-Alvarez, Juan Carlos & Posch, Olaf & Wang, Mu-Chun, 2020. "Estimation of heterogeneous agent models: A likelihood approach," Discussion Papers 42/2020, Deutsche Bundesbank.
    17. Andreas Bachmann, 2015. "Lumpy investment and variable capacity utilization: firm-level and macroeconomic implications," Diskussionsschriften dp1510, Universitaet Bern, Departement Volkswirtschaft.
    18. Yantao Gao & Xilong Yao & Wenxi Wang & Xin Liu, 2019. "Dynamic effect of environmental tax on export trade: Based on DSGE mode," Energy & Environment, , vol. 30(7), pages 1275-1290, November.
    19. Born, Benjamin & Peifer, Johannes, 2011. "Policy Risk and the Business Cycle," Bonn Econ Discussion Papers 06/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
    20. Juan Carlos Parra‐Alvarez & Olaf Posch & Mu‐Chun Wang, 2023. "Estimation of Heterogeneous Agent Models: A Likelihood Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 304-330, April.
    21. Molinari Benedetto & Rodríguez-López Jesús & Torres José L., 2013. "Information and communication technologies over the business cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 933-963, July.
    22. Enrique Martínez García, 2015. "The global component of local inflation: revisiting the empirical content of the global slack hypothesis with Bayesian methods," Globalization Institute Working Papers 225, Federal Reserve Bank of Dallas.
    23. Dongya Koh & Raül Santaeulàlia‐Llopis & Yu Zheng, 2020. "Labor Share Decline and Intellectual Property Products Capital," Econometrica, Econometric Society, vol. 88(6), pages 2609-2628, November.
    24. Yongsung Chang & Sun-Bin Kim & Frank Schorfheide, 2010. "Labor-Market Heterogeneity, Aggregation, and the Lucas Critique," NBER Working Papers 16401, National Bureau of Economic Research, Inc.
    25. Ivashchenko, Sergey & Mutschler, Willi, 2020. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," Economic Modelling, Elsevier, vol. 88(C), pages 280-292.
    26. Alban Moura, 2017. "Investment price rigidity and business cycles," BCL working papers 105, Central Bank of Luxembourg.
    27. Luigi Bocola, 2014. "The Pass-Through of Sovereign Risk," 2014 Meeting Papers 1286, Society for Economic Dynamics.
    28. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.
    29. James Malley & Apostolis Philippopoulos & Jim Malley, 2022. "The Macroeconomic Effects of Funding U.S. Infrastructure," CESifo Working Paper Series 9530, CESifo.
    30. Furlanetto, Francesco & Natvik, Gisle J. & Seneca, Martin, 2013. "Investment shocks and macroeconomic co-movement," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 208-216.
    31. Moura, Alban, 2020. "Total factor productivity and the measurement of neutral technology," MPRA Paper 99357, University Library of Munich, Germany.
    32. Cristiano Cantore & Filippo Ferroni & Miguel A. León-Ledesma, 2012. "The dynamics of hours worked and technology," Working Papers 1238, Banco de España.
    33. Lan, Hong & Meyer-Gohde, Alexander, 2013. "Decomposing risk in dynamic stochastic general equilibrium," SFB 649 Discussion Papers 2013-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    34. Julieta Caunedo, 2014. "Aggregate Fluctuations and the Industry Structure of the US Economy," 2014 Meeting Papers 1194, Society for Economic Dynamics.
    35. Marcus Hagedorn & Iourii Manovskii & Sergiy Stetsenko, 2016. "Taxation and Unemployment in Models with Heterogeneous Workers," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 19, pages 161-189, January.
    36. Kociecki, Andrzej, 2013. "Bayesian Approach and Identification," MPRA Paper 46538, University Library of Munich, Germany.
    37. Colombo, Emilio & Furceri, Davide & Pizzuto, Pietro & Tirelli, Patrizio, 2024. "Public expenditure multipliers and informality," European Economic Review, Elsevier, vol. 164(C).
    38. Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017. "Identification and estimation of heterogeneous agent models: A likelihood approach," CREATES Research Papers 2017-35, Department of Economics and Business Economics, Aarhus University.

  3. Schorfheide, Frank & Sill, Keith & Kryshko, Maxym, 2010. "DSGE model-based forecasting of non-modelled variables," International Journal of Forecasting, Elsevier, vol. 26(2), pages 348-373, April.
    See citations under working paper version above.

More information

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Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DGE: Dynamic General Equilibrium (5) 2008-10-07 2009-04-13 2009-09-11 2009-09-26 2009-11-27. Author is listed
  2. NEP-CBA: Central Banking (4) 2008-10-07 2009-04-13 2009-09-11 2009-11-27
  3. NEP-BEC: Business Economics (3) 2009-09-11 2009-09-26 2009-11-27
  4. NEP-MAC: Macroeconomics (3) 2008-10-07 2009-04-13 2009-09-11
  5. NEP-ECM: Econometrics (2) 2008-10-07 2009-04-13
  6. NEP-FOR: Forecasting (2) 2008-10-07 2009-04-13
  7. NEP-ETS: Econometric Time Series (1) 2008-10-07

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