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Real-time macroeconomic monitoring: real activity, inflation, and interactions
Citations
Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- Nowcasting: recession ended in July 2009
by Economic Logician in Economic Logic on 2010-02-10 21:19:00
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
- Nicholas Taylor, 2014. "Economic forecast quality: information timeliness and data vintage effects," Empirical Economics, Springer, vol. 46(1), pages 145-174, February.
- Jonas Krampe & Luca Margaritella, 2021. "Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org, revised May 2022.
- Serena Ng & Jonathan H. Wright, 2013.
"Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling,"
Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
- Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
- Martínez-Martín, Jaime & Rusticelli, Elena, 2021.
"Keeping track of global trade in real time,"
International Journal of Forecasting, Elsevier, vol. 37(1), pages 224-236.
- Jaime Martinez-Martin & Elena Rusticelli, 2018. "Keeping track of global trade in real time," OECD Economics Department Working Papers 1524, OECD Publishing.
- Jaime Martínez-Martín & Elena Rusticelli, 2020. "Keeping track of global trade in real time," Working Papers 2019, Banco de España.
- Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
- Peter C. B. Phillips & Zhentao Shi, 2021.
"Boosting: Why You Can Use The Hp Filter,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
- Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting: Why you Can Use the HP Filter," Cowles Foundation Discussion Papers 2212, Cowles Foundation for Research in Economics, Yale University.
- Peter C. B. Phillips & Zhentao Shi, 2019. "Boosting: Why You Can Use the HP Filter," Papers 1905.00175, arXiv.org, revised Nov 2020.
- Constantin ANGHELACHE & Madalina-Gabriela ANGHEL & Tudor SAMSON & Radu STOICA, 2017. "Methods And Techniques For Preparing Forecasts," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(4), pages 26-36, April.
- Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024.
"Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
- Michael Funke & Aaron Mehrotra & Hao Yu, 2015.
"Tracking Chinese CPI inflation in real time,"
Empirical Economics, Springer, vol. 48(4), pages 1619-1641, June.
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland, Institute for Economies in Transition.
- Michael Funke & Hao Yu & Aaron Mehrota, 2011. "Tracking Chinese CPI inflation in real time," Quantitative Macroeconomics Working Papers 21112, Hamburg University, Department of Economics.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013.
"Financial Risk Measurement for Financial Risk Management,"
Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220,
Elsevier.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2012. "Financial Risk Measurement for Financial Risk Management," NBER Working Papers 18084, National Bureau of Economic Research, Inc.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Foroni, Claudia & Marcellino, Massimiliano, 2014. "A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates," International Journal of Forecasting, Elsevier, vol. 30(3), pages 554-568.
- William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
- Francis X. Diebold, 2020.
"Real-Time Real Economic Activity: Exiting the Great Recession and Entering the Pandemic Recession,"
NBER Working Papers
27482, National Bureau of Economic Research, Inc.
- Francis X. Diebold, 2020. "Real-Time Real Economic Activity:Exiting the Great Recession and Entering the Pandemic Recession," PIER Working Paper Archive 20-023, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
- 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.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020.
"A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
- Gazzani, Andrea & Venditti, Fabrizio & Veronese, Giovanni, 2024.
"Oil price shocks in real time,"
Journal of Monetary Economics, Elsevier, vol. 144(C).
- Andrea Gazzani & Fabrizio Venditti & Giovanni Veronese, 2024. "Oil price shocks in real time," Temi di discussione (Economic working papers) 1448, Bank of Italy, Economic Research and International Relations Area.
- Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
- Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
- Bhattacharya, Rudrani & Kapoor, Mrigankshi, 2020. "Forecasting Consumer Price Index Inflation in India: Vector Error Correction Mechanism Vs. Dynamic Factor Model Approach for Non-Stationary Time Series," Working Papers 20/323, National Institute of Public Finance and Policy.
- Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.
- David Coble & Pablo Pincheira, 2021. "Forecasting building permits with Google Trends," Empirical Economics, Springer, vol. 61(6), pages 3315-3345, December.
- Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
- Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2016.
"Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-linear Approach,"
Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 283-316,
Emerald Group Publishing Limited.
- Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2015. "Country shocks, monetary policy expectations and ECB decisions. A dynamic non-linear approach," Working Papers 1523, Banco de España.
- Máximo Camacho & Danilo Leiva-León & Gabriel Pérez-Quiros, 2015. "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-Linear Approach," Working Papers Central Bank of Chile 764, Central Bank of Chile.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Leiva-León, Danilo, 2015. "Country shocks, monetary policy expectations and ECB decisions. A dynamic non-linear approach," CEPR Discussion Papers 10828, C.E.P.R. Discussion Papers.
- Kihwan Kim & Hyun Hak Kim & Norman R. Swanson, 2023. "Mixing mixed frequency and diffusion indices in good times and in bad: an assessment based on historical data around the great recession of 2008," Empirical Economics, Springer, vol. 64(3), pages 1421-1469, March.
- Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016.
"Improving GDP measurement: A measurement-error perspective,"
Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
- Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," PIER Working Paper Archive 13-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP measurement: a measurement-error perspective," Working Papers 13-16, Federal Reserve Bank of Philadelphia.
- S. Boraǧan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," NBER Working Papers 18954, National Bureau of Economic Research, Inc.
- Leiva-Leon Danilo, 2014.
"Real vs. nominal cycles: a multistate Markov-switching bi-factor approach,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 557-580, December.
- Leiva-Leon, Danilo, 2013. "Real vs. Nominal Cycles: A Multistate Markov-Switching Bi-Factor Approach," MPRA Paper 54456, University Library of Munich, Germany.
- Stona, Filipe & Morais, Igor A.C. & Triches, Divanildo, 2018. "Economic dynamics during periods of financial stress: Evidences from Brazil," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 130-144.
- Abel Rodríguez Tirado & Marcelo Delajara & Federico Hernández Álvarez, 2016. "Nowcasting Mexico’s Short-Term GDP Growth in Real-Time: A Factor Model versus Professional Forecasters," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2016), pages 167-182, October.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Alvarez, Rocio, 2012.
"Finite sample performance of small versus large scale dynamic factor models,"
CEPR Discussion Papers
8867, C.E.P.R. Discussion Papers.
- Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
- Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst, 2021. "Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data," Forecasting, MDPI, vol. 3(1), pages 1-35, February.
- Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
- Baskot, Bojan & Orsag, Silvije & Mikerevic, Dejan, 2018. "Yield Curve In Bosnia And Herzegovina: Financial And Macroeconomic Framework," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 9(1), pages 1-15.
- Maximo Camacho & Jaime Martinez-Martin, 2014.
"Real-time forecasting US GDP from small-scale factor models,"
Empirical Economics, Springer, vol. 47(1), pages 347-364, August.
- Maximo Camacho & Jaime Martíinez-Martin, 2012. "Real-time forecasting US GDP from small-scale factor models," Working Papers 1210, BBVA Bank, Economic Research Department.
- Máximo Camacho & Jaime Martínez-Martín, 2014. "Real-time forecasting us GDP from small-scale factor models," Working Papers 1425, Banco de España.
- Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Madalina-Gabriela Anghel & Maria Mirea & Alexandru Badiu, 2018. "Analysis of the Main Aspects Regarding the Price Indices Applied in the Determination of Inflation," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 8(2), pages 28-36, April.
- Germán López, 2015. "Forecast Accuracy of Small and Large Scale Dynamic Factor Models in Developing Economies," Working Papers. Serie AD 2015-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
- Camacho, Maximo & Perez-Quiros, Gabriel & Poncela, Pilar, 2018.
"Markov-switching dynamic factor models in real time,"
International Journal of Forecasting, Elsevier, vol. 34(4), pages 598-611.
- Pérez-Quirós, Gabriel & Poncela, Pilar & Camacho, Máximo, 2012. "Markov-switching dynamic factor models in real time," CEPR Discussion Papers 8866, C.E.P.R. Discussion Papers.
- Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Markov-switching dynamic factor models in real time," Working Papers 1205, Banco de España.
- Máximo Camacho & Matías Pacce & Gabriel Pérez-Quirós, 2020.
"Spillover effects in international business cycles,"
Working Papers
2034, Banco de España.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Pacce, Matias Jose, 2021. "Spillover Effects in International Business Cycles," CEPR Discussion Papers 15787, C.E.P.R. Discussion Papers.
- Camacho, Maximo & Perez-Quiros, Gabriel & Pacce, Matías, 2020. "Spillover effects in international business cycles," Working Paper Series 2484, European Central Bank.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2011.
"Improving GDP measurement: a forecast combination perspective,"
Working Papers
11-41, Federal Reserve Bank of Philadelphia.
- Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," PIER Working Paper Archive 11-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- S. Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2011. "Improving GDP Measurement: A Forecast Combination Perspective," NBER Working Papers 17421, National Bureau of Economic Research, Inc.
- Camacho, Maximo & Lopez-Buenache, German, 2023. "Factor models for large and incomplete data sets with unknown group structure," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1205-1220.
- Camba-Méndez, Gonzalo & Kapetanios, George & Papailias, Fotis & Weale, Martin R., 2015. "An automatic leading indicator, variable reduction and variable selection methods using small and large datasets: Forecasting the industrial production growth for euro area economies," Working Paper Series 1773, European Central Bank.
- Florin Paul Costel LILEA & Aurelian DIACONU & Radu Titus MARINESCU & Gyorgy BODO, 2017. "Structural Methods Used In Forecasting Studies," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(4), pages 66-74, April.
- Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel, 2016. "Aggregate versus disaggregate information in dynamic factor models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 680-694.
- Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
- Zhang, Wei & He, Jie & Ge, Chanyuan & Xue, Rui, 2022. "Real-time macroeconomic monitoring using mixed frequency data: Evidence from China," Economic Modelling, Elsevier, vol. 117(C).
- Maximo Camacho & Yuliya Lovcha & Gabriel Perez-Quiros, 2012.
"Can we use seasonally adjusted indicators in dynamic factor models?,"
Working Papers
1235, Banco de España.
- Pérez-Quirós, Gabriel & Camacho, Máximo & Lovcha, Yuliya, 2012. "Can we use seasonally adjusted indicators in dynamic factor models?," CEPR Discussion Papers 9191, C.E.P.R. Discussion Papers.
- Andrzej Wojtyna, 2013. "Kontrowersje wokół charakteru ożywienia po kryzysie finansowym i recesji," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 11-12, pages 5-21.
- Camacho Maximo & Lovcha Yuliya & Quiros Gabriel Perez, 2015. "Can we use seasonally adjusted variables in dynamic factor models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(3), pages 377-391, June.
- Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
- Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2014.
"Real-Time Nowcasting Nominal GDP Under Structural Break,"
MPRA Paper
53699, University Library of Munich, Germany.
- William A. Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201313, University of Kansas, Department of Economics, revised Feb 2014.
- Francis X. Diebold, 2020.
"Real-Time Real Economic Activity: Entering and Exiting the Pandemic Recession of 2020,"
Papers
2006.15183, arXiv.org, revised Jan 2022.
- Francis X. Diebold, 2022. "Real-Time Real Economic Activity:Entering and Exiting the Pandemic Recession of 2020," PIER Working Paper Archive 22-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- repec:zbw:bofitp:2011_035 is not listed on IDEAS
- Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
- Alexis Flageollet & Hamza Bahaji, 2016. "Monetary Policy and Risk-Based Asset Allocation," Open Economies Review, Springer, vol. 27(5), pages 851-870, November.
- Madalina-Gabriela Anghel & Georgeta Lixandru & Marius Popovici & Alina – Georgiana Solomon & Emilia Stanciu, 2017. "Theoretical Elements on the Use of Price Indices for Inflation Measurement," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 38-47, July.
- Marcos Dal Bianco & Jaime Martinez-MartÃn & Maximo Camacho, 2013. "Short-Run Forecasting of Argentine GDP Growth," Working Papers 1314, BBVA Bank, Economic Research Department.
- Berger, Dave & Pukthuanthong, Kuntara, 2016. "Fragility, stress, and market returns," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 152-163.
- Constantin Anghelache & Madalina-Gabriela Anghel & Alina-Georgiana Solomon, 2017. "National Accounts System: Source of Information in Macroeconomic Forecast," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(2), pages 76-82, April.
- Troy D. Matheson, 2014.
"New indicators for tracking growth in real time,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 51-71.
- Mr. Troy D Matheson, 2011. "New Indicators for Tracking Growth in Real Time," IMF Working Papers 2011/043, International Monetary Fund.
- Marcella Lucchetta & Mr. Gianni De Nicolo, 2012. "Systemic Real and Financial Risks: Measurement, Forecasting, and Stress Testing," IMF Working Papers 2012/058, International Monetary Fund.
- Florin Paul Costel LILEA & Andreea – Ioana MARINESCU, 2017. "Macroeconomic Forecast Models – Concepts And Theoretical Notions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 118-123, June.