Scott Anthony Brave
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.RePEc Biblio mentions
As found on the RePEc Biblio, the curated bibliography of Economics:- Scott Brave & R. Andrew Butters, 2012.
"Diagnosing the Financial System: Financial Conditions and Financial Stress,"
International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
Mentioned in:
- Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016.
"Forecasting Economic Activity with Mixed Frequency Bayesian VARs,"
Working Paper Series
WP-2016-5, Federal Reserve Bank of Chicago.
Mentioned in:
Working papers
- Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021.
"Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade,"
Working Paper Series
WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
Cited by:
- Timo Wollmershäuser & Stefan Ederer & Maximilian Fell & Friederike Fourné & Max Lay & Robert Lehmann & Sebastian Link & Sascha Möhrle & Ann-Christin Rathje & Radek Šauer & Moritz Schasching & Marcus S, 2023. "ifo Konjunkturprognose Sommer 2023: Inflation flaut langsam ab – aber Konjunktur lahmt noch," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 76(Sonderaus), pages 01-53, June.
- Scott A. Brave & R. Andrew Butters & Michael Fogarty, 2020.
"The perils of working with Big Data and a SMALL framework you can use to avoid them,"
Working Paper Series
WP-2020-35, Federal Reserve Bank of Chicago, revised 02 Mar 2020.
Cited by:
- Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020.
"Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims,"
Working Paper Series
WP 2020-10, Federal Reserve Bank of Chicago.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP-2020-10, Federal Reserve Bank of Chicago, revised 16 Apr 2020.
Cited by:
- Dobbins, Tony & Johnstone, Stewart & Kahancová, Marta & Lamare, J. Ryan & Wilkinson, Adrian, 2023. "Comparative impacts of the COVID-19 pandemic on work and employment—Why industrial relations institutions matter," LSE Research Online Documents on Economics 125303, London School of Economics and Political Science, LSE Library.
- Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
- Daniel Borup & David E. Rapach & Erik Christian Montes Schütte, 2021. "Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data," CREATES Research Papers 2021-02, Department of Economics and Business Economics, Aarhus University.
- Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Willem Thorbecke, 2020.
"The Impact of the COVID-19 Pandemic on the U.S. Economy: Evidence from the Stock Market,"
JRFM, MDPI, vol. 13(10), pages 1-30, October.
- Willem THORBECKE, 2020. "The Impact of the COVID-19 Pandemic on the U.S. Economy: Evidence from the Stock Market," Discussion papers 20068, Research Institute of Economy, Trade and Industry (RIETI).
- Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2022. "A babel of web-searches: Googling unemployment during the pandemic," Labour Economics, Elsevier, vol. 74(C).
- Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2020. "Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data," JRC Working Papers in Economics and Finance 2020-04, Joint Research Centre, European Commission.
- Christopher L. Foote & Tyler Hounshell & William D. Nordhaus & Douglas Rivers & Pamela Torola, 2021.
"Measuring the US Employment Situation Using Online Panels: The Yale Labor Survey,"
Current Policy Perspectives
93422, Federal Reserve Bank of Boston.
- Christopher Foote & Tyler Hounshell & William D. Nordhaus & Douglas Rivers & Pamela Torola, 2021. "Measuring the U.S. Employment Situation Using Online Panels: The Yale Labor Survey," Cowles Foundation Discussion Papers 2282, Cowles Foundation for Research in Economics, Yale University.
- Magdalena Kozera-Kowalska & Jarosław Uglis, 2021. "Students’ Perception of Education as a Preparation to Enter the Labour Market: A Case Study from a Polish University," European Research Studies Journal, European Research Studies Journal, vol. 0(3 - Part ), pages 338-349.
- VAN DER WIELEN Wouter & BARRIOS Salvador, 2020.
"Fear and Employment During the COVID Pandemic: Evidence from Search Behaviour in the EU,"
JRC Working Papers on Taxation & Structural Reforms
2020-08, Joint Research Centre.
- van der Wielen, Wouter & Barrios, Salvador, 2021. "Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU," Journal of Economics and Business, Elsevier, vol. 115(C).
- Asfaw, Abraham Abebe, 2021. "The effect of income support programs on job search, workplace mobility and COVID-19: International evidence," Economics & Human Biology, Elsevier, vol. 41(C).
- O'Donnell, Niall & Shannon, Darren & Sheehan, Barry, 2023. "A vaccine for volatility? An empirical analysis of global stock markets and the impact of the COVID-19 vaccine," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
- William D. Larson & Tara M. Sinclair, 2020.
"Nowcasting Unemployment Insurance Claims in the Time of COVID-19,"
CAMA Working Papers
2020-63, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
- William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," FHFA Staff Working Papers 20-02, Federal Housing Finance Agency.
- William D. Larson & Tara M. Sinclair, 2020. "Nowcasting Unemployment Insurance Claims in the Time of COVID-19," Working Papers 2020-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Aug 2020.
- Scott Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019.
"Predicting Benchmarked US State Employment Data in Realtime,"
Working Paper Series
WP 2019-11, Federal Reserve Bank of Chicago.
- Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021. "Predicting benchmarked US state employment data in real time," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
- Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Real Time," Working Papers 2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
Cited by:
- Daniel Aaronson & Scott A. Brave & Michael Fogarty & Ezra Karger & Spencer D. Krane, 2021. "Tracking U.S. Consumers in Real Time with a New Weekly Index of Retail Trade," Working Paper Series WP-2021-05, Federal Reserve Bank of Chicago, revised 18 Jun 2021.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
- Scott A. Brave & Jose A. Lopez, 2018.
"Calibrating Macroprudential Policy to Forecasts of Financial Stability,"
Working Paper Series
2017-17, Federal Reserve Bank of San Francisco.
- Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
Cited by:
- Pfeifer, Lukáš & Hodula, Martin, 2021. "A profit-to-provisioning approach to setting the countercyclical capital buffer," Economic Systems, Elsevier, vol. 45(1).
- Hale, Galina & Lopez, Jose A., 2019.
"Monitoring banking system connectedness with big data,"
Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
- Galina Hale & Jose A. Lopez, 2018. "Monitoring Banking System Connectedness with Big Data," Working Paper Series 2018-01, Federal Reserve Bank of San Francisco.
- Hale, Galina & Lopez, Jose A, 2023. "Monitoring Banking System Connectedness with Big Data," Santa Cruz Department of Economics, Working Paper Series qt17h5v7rj, Department of Economics, UC Santa Cruz.
- Pfeifer, Lukáš & Hodula, Martin, 2018.
"A profit-to-provisioning approach to setting the countercyclical capital buffer: the Czech example,"
ESRB Working Paper Series
82, European Systemic Risk Board.
- Lukas Pfeifer & Martin Hodula, 2018. "A Profit-to-Provisioning Approach to Setting the Countercyclical Capital Buffer: The Czech Example," Working Papers 2018/5, Czech National Bank, Research and Statistics Department.
- Maarten R.C. Van Oordt, 2023.
"Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market‐Based Stress Tests,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 465-501, March.
- Maarten van Oordt, 2018. "Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market-Based Stress Tests," Staff Working Papers 18-54, Bank of Canada.
- Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016.
"Forecasting Economic Activity with Mixed Frequency Bayesian VARs,"
Working Paper Series
WP-2016-5, Federal Reserve Bank of Chicago.
Cited by:
- Knotek, Edward S. & Zaman, Saeed, 2019.
"Financial nowcasts and their usefulness in macroeconomic forecasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018.
"Bayesian vector autoregressions,"
Documents de Travail de l'OFCE
2018-18, Observatoire Francais des Conjonctures Economiques (OFCE).
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," SciencePo Working papers Main hal-03458277, HAL.
- Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Working Papers hal-03458277, HAL.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," Bank of England working papers 756, Bank of England.
- Silvia Miranda-Agrippino & Giovanni Ricco, 2018. "Bayesian Vector Autoregressions," Discussion Papers 1808, Centre for Macroeconomics (CFM).
- Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
- Deborah Gefang & Gary Koop & Aubrey Poon, "undated".
"Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs,"
Discussion Papers in Economics
20/02, Division of Economics, School of Business, University of Leicester.
- Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020. "Computationally efficient inference in large Bayesian mixed frequency VARs," Economics Letters, Elsevier, vol. 191(C).
- Deborah Gefang & Gary Koop & Aubrey Poon, 2020. "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-07, Economic Statistics Centre of Excellence (ESCoE).
- Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.
- Gary Koop & Stuart McIntyre & James Mitchell, 2018.
"UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model,"
Economic Statistics Centre of Excellence (ESCoE) Discussion Papers
ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
- Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK regional nowcasting using a mixed frequency vector autoregressive model," Working Papers 1805, University of Strathclyde Business School, Department of Economics.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017.
"Macroeconomic nowcasting and forecasting with big data,"
Staff Reports
830, Federal Reserve Bank of New York.
- Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
- Giannone, Domenico & Tambalotti, Andrea & Sbordone, Argia & Bok, Brandyn & Caratelli, Daniele, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," CEPR Discussion Papers 12589, C.E.P.R. Discussion Papers.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022.
"Nowcasting with large Bayesian vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2020. "Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 176-197, March.
- Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2018. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-14, Economic Statistics Centre of Excellence (ESCoE).
- Knotek, Edward S. & Zaman, Saeed, 2019.
"Financial nowcasts and their usefulness in macroeconomic forecasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Scott Brave & Jeffrey R. Campbell & Jonas D. M. Fisher & Alejandro Justiniano, 2012.
"The Chicago Fed DSGE model,"
Working Paper Series
WP-2012-02, Federal Reserve Bank of Chicago.
Cited by:
- Christopher L. House & Christian Proebsting & Linda L. Tesar, 2019.
"Austerity in the Aftermath of the Great Recession,"
Working Papers
672, Research Seminar in International Economics, University of Michigan.
- Christopher L. House & Christian Proebsting & Linda L. Tesar, 2017. "Austerity in the Aftermath of the Great Recession," NBER Working Papers 23147, National Bureau of Economic Research, Inc.
- House, Christopher L. & Proebsting, Christian & Tesar, Linda L., 2020. "Austerity in the aftermath of the great recession," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 37-63.
- Nadav Ben Zeev & Christopher M. Gunn & Hashmat Khan, 2015.
"Monetary News Shocks,"
Carleton Economic Papers
15-02, Carleton University, Department of Economics, revised 17 Feb 2017.
- Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
- Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017.
"Model uncertainty in macroeconomics: On the implications of financial frictions,"
IMFS Working Paper Series
114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Wieland, Volker & Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge, 2017. "Model Uncertainty in Macroeconomics: On the Implications of Financial Frictions," CEPR Discussion Papers 12013, C.E.P.R. Discussion Papers.
- Jeffrey R. Campbell & Charles L. Evans & Jonas D. M. Fisher & Alejandro Justiniano, 2012.
"Macroeconomic effects of Federal Reserve forward guidance,"
Working Paper Series
WP-2012-03, Federal Reserve Bank of Chicago.
- 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.
- Hess Chung & Edward Herbst & Michael T. Kiley, 2014.
"Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination,"
NBER Chapters, in: NBER Macroeconomics Annual 2014, Volume 29, pages 289-344,
National Bureau of Economic Research, Inc.
- Hess Chung & Edward Herbst & Michael T. Kiley, 2015. "Effective Monetary Policy Strategies in New Keynesian Models: A Reexamination," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 289-344.
- Hess Chung & Edward Herbst & Michael T. Kiley, 2014. "Effective Monetary Policy Strategies in New Keynesian Models: A Re-examination," NBER Working Papers 20611, National Bureau of Economic Research, Inc.
- Jonas E. Arias & Christopher J. Erceg & Mathias Trabandt, 2016.
"The Macroeconomic Risks of Undesirably Low Inflation,"
International Finance Discussion Papers
1162, Board of Governors of the Federal Reserve System (U.S.).
- Arias, Jonas E. & Erceg, Christopher & Trabandt, Mathias, 2016. "The macroeconomic risks of undesirably low inflation," European Economic Review, Elsevier, vol. 88(C), pages 88-107.
- Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
- Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
- Linde, Jesper & Smets, Frank & Wouters, Rafael, 2016.
"Challenges for Central Banks' Macro Models,"
CEPR Discussion Papers
11405, C.E.P.R. Discussion Papers.
- Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
- Jesper Lindé, 2018. "DSGE models: still useful in policy analysis?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 269-286.
- Giorgio Motta & Patrizio Tirelli, 2013.
"Limited Asset Market Participation, Income Inequality and Macroeconomic Volatility,"
Working Papers
261, University of Milano-Bicocca, Department of Economics, revised Dec 2013.
- Giorgio Motta & Patrizio Tirelli, 2014. "Limited asset market participation, income inequality and macroeconomic volatility," Working Papers 65170975, Lancaster University Management School, Economics Department.
- 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.
- Sacha Gelfer, 2019. "Code and data files for "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery"," Computer Codes 18-269, Review of Economic Dynamics.
- Francesco Sergi, 2020. "The Standard Narrative about DSGE Models in Central Banks’ Technical Reports," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 27(2), pages 163-193, March.
- Joshua Brault & Hashmat Khan, 2019. "The Real Interest Rate Channel is Structural in Contemporary New-Keynesian Models," Carleton Economic Papers 19-05, Carleton University, Department of Economics.
- Christopher L. House & Christian Proebsting & Linda L. Tesar, 2019.
"Austerity in the Aftermath of the Great Recession,"
Working Papers
672, Research Seminar in International Economics, University of Michigan.
- Scott Brave & Hesna Genay, 2011.
"Federal Reserve policies and financial market conditions during the crisis,"
Proceedings
1129, Federal Reserve Bank of Chicago.
- Scott Brave & Hesna Genay, 2011. "Federal Reserve policies and financial market conditions during the crisis," Working Paper Series WP-2011-04, Federal Reserve Bank of Chicago.
Cited by:
- Hatira Sadeghzadeh Emsen, 2021. "Effects of US Federal Reserve Monetary Policies on Financial Markets and Commodity Prices: An Econometric Analysis with a Structural Break for Developed and Developing Countries," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 64(64), pages 233-255, December.
- Donald P. Morgan & Stavros Peristiani & Vanessa Savino, 2014. "The Information Value of the Stress Test," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1479-1500, October.
- Guidolin, Massimo & Tam, Yu Man, 2013.
"A yield spread perspective on the great financial crisis: Break-point test evidence,"
International Review of Financial Analysis, Elsevier, vol. 26(C), pages 18-39.
- Massimo Guidolin & Yu Man Tam, 2010. "A yield spread perspective on the great financial crisis: break-point test evidence," Working Papers 2010-026, Federal Reserve Bank of St. Louis.
- Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2014.
"How did the financial crisis alter the correlations of U.S. yield spreads?,"
Journal of Empirical Finance, Elsevier, vol. 28(C), pages 362-385.
- Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2013. "How did the financial crisis alter the correlations of U.S. yield spreads?," Working Papers 2013-005, Federal Reserve Bank of St. Louis.
- Scott A. Brave & Jose A. Lopez, 2019.
"Calibrating Macroprudential Policy to Forecasts of Financial Stability,"
International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
- Scott A. Brave & Jose A. Lopez, 2018. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," Working Paper Series 2017-17, Federal Reserve Bank of San Francisco.
- Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
- Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
- Berger, Allen N. & Black, Lamont K. & Bouwman, Christa H.S. & Dlugosz, Jennifer, 2017. "Bank loan supply responses to Federal Reserve emergency liquidity facilities," Journal of Financial Intermediation, Elsevier, vol. 32(C), pages 1-15.
- Scott Brave & R. Andrew Butters, 2010.
"Gathering insights on the forest from the trees: a new metric for financial conditions,"
Working Paper Series
WP-2010-07, Federal Reserve Bank of Chicago.
Cited by:
- Christian Glocker & Serguei Kaniovski, 2014. "A financial market stress indicator for Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 481-504, August.
- Chadwick, Meltem Gulenay & Ozturk, Huseyin, 2019.
"Measuring financial systemic stress for Turkey: A search for the best composite indicator,"
Economic Systems, Elsevier, vol. 43(1), pages 151-172.
- Meltem Gulenay Chadwick & Huseyin Ozturk, 2018. "Measuring Financial Systemic Stress for Turkey: A Search for the Best Composite Indicator," Working Papers 1816, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
- Scott Brave & Hesna Genay, 2011.
"Federal Reserve policies and financial market conditions during the crisis,"
Working Paper Series
WP-2011-04, Federal Reserve Bank of Chicago.
- Scott Brave & Hesna Genay, 2011. "Federal Reserve policies and financial market conditions during the crisis," Proceedings 1129, Federal Reserve Bank of Chicago.
- Hummaira Jabeen, 2023. "US-Financial Conditions and Macro-economy of Emerging Markets," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(1), pages 51-63, March.
- Pérez-Quirós, Gabriel & Poncela, Pilar & Camacho, Máximo, 2012.
"Extracting nonlinear signals from several economic indicators,"
CEPR Discussion Papers
8865, C.E.P.R. Discussion Papers.
- Maximo Camacho & Gabriel Perez‐Quiros & Pilar Poncela, 2015. "Extracting Nonlinear Signals from Several Economic Indicators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1073-1089, November.
- Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Extracting non-linear signals from several economic indicators," Working Papers 1202, Banco de España.
- Alexander Khreish, 2024. "Evaluating Australia's financial conditions: A comparative analysis and extension of a dynamic factor model index," Australian Economic Papers, Wiley Blackwell, vol. 63(S1), pages 47-58, May.
- Sirio Aramonte & Samuel Rosen & John W. Schindler, 2013.
"Assessing and combining financial conditions indexes,"
Finance and Economics Discussion Series
2013-39, Board of Governors of the Federal Reserve System (U.S.).
- Sirio Aramonte & Samuel Rosen & John W. Schindler, 2017. "Assessing and Combining Financial Conditions Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 1-52, February.
- Catherine Doz & Anna Petronevich, 2017.
"On the consistency of the two-step estimates of the MS-DFM: a Monte Carlo study,"
PSE Working Papers
halshs-01592863, HAL.
- Catherine Doz & Anna Petronevich, 2017. "On the consistency of the two-step estimates of the MS-DFM: a Monte Carlo study," Working Papers halshs-01592863, HAL.
- Louzis, Dimitrios P. & Vouldis, Angelos T., 2012. "A methodology for constructing a financial systemic stress index: An application to Greece," Economic Modelling, Elsevier, vol. 29(4), pages 1228-1241.
- Luke Hartigan & Michelle Wright, 2023. "Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 253-287, June.
- Mr. Nombulelo Gumata & Mr. Eliphas Ndou & Nir Klein, 2012.
"A Financial Conditions Index for South Africa,"
IMF Working Papers
2012/196, International Monetary Fund.
- Miss Nombulelo Gumata & Mr Nir Klein & Mr Eliphas Ndou, 2012. "A Financial Conditions Index for South Africa," Working Papers 5119, South African Reserve Bank.
- Louzis, Dimitrios & Vouldis, Angelos, 2013.
"A financial systemic stress index for Greece,"
Working Paper Series
1563, European Central Bank.
- Dimitrios P. Louzis & Angelos T. Vouldis, 2013. "A financial systemic stress index for Greece," Working Papers 155, Bank of Greece.
- Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
- Indranarain Ramlall, 2015. "Mauritius Financial System Stress Index: Estimating the Costs of the Subprime Crisis," Journal of African Business, Taylor & Francis Journals, vol. 16(3), pages 235-271, September.
- Levanon, Gad & Manini, Jean-Claude & Ozyildirim, Ataman & Schaitkin, Brian & Tanchua, Jennelyn, 2015. "Using financial indicators to predict turning points in the business cycle: The case of the leading economic index for the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 426-445.
Articles
- Scott A. Brave & Jacob S. Herbstman, 2023.
"Persistently Pessimistic: Consumer and Small Business Sentiment After the Covid Recession,"
Chicago Fed Letter, Federal Reserve Bank of Chicago, vol. 0, pages 1-9, November.
Cited by:
- Jacob Dolinar & Patrick Sabourin & Matt West, 2025. "Synthesizing Signals from the Canadian Survey of Consumer Expectations," Discussion Papers 2025-11, Bank of Canada.
- Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022.
"Forecasting unemployment insurance claims in realtime with Google Trends,"
International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
Cited by:
- Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022.
"Testing big data in a big crisis: Nowcasting under COVID-19,"
JRC Working Papers in Economics and Finance
2022-06, Joint Research Centre, European Commission.
- Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2023. "Testing big data in a big crisis: Nowcasting under Covid-19," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1548-1563.
- Liang, Xiaozhen & Hong, Chenxi & Chen, Jiaqi & Wang, Yingying & Yang, Mingge, 2024. "A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect," Journal of Air Transport Management, Elsevier, vol. 118(C).
- Costa, Eduardo André & Silva, Maria Eduarda & Galvão, Ana Beatriz, 2024. "Real-time nowcasting the monthly unemployment rates with daily Google Trends data," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
- Chen-Hao Xue & Yong-Ping Bai, 2023. "Spatiotemporal Characteristics and Factors Influencing Urban Tourism Market Network in Western China: Taking Chengdu as an Example," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
- Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2024. "Nowcasting Norwegian household consumption with debit card transaction data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1220-1244, November.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2022.
"Unemployment Claims During COVID-19 and Economic Support Measures in the U.S,"
Working Paper series
22-07, Rimini Centre for Economic Analysis.
- Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
- Bert Leysen & Pieter-Paul Verhaeghe, 2023. "Searching for migration: estimating Japanese migration to Europe with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4603-4631, October.
- Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
- Ioannis D. Vrontos & John Galakis & Ekaterini Panopoulou & Spyridon D. Vrontos, 2024. "Forecasting GDP growth: The economic impact of COVID‐19 pandemic," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 1042-1086, July.
- Borup, Daniel & Rapach, David E. & Schütte, Erik Christian Montes, 2023. "Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1122-1144.
- Andrius Grybauskas & Vaida Pilinkienė & Mantas Lukauskas & Alina Stundžienė & Jurgita Bruneckienė, 2023. "Nowcasting Unemployment Using Neural Networks and Multi-Dimensional Google Trends Data," Economies, MDPI, vol. 11(5), pages 1-23, April.
- Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022.
"Testing big data in a big crisis: Nowcasting under COVID-19,"
JRC Working Papers in Economics and Finance
2022-06, Joint Research Centre, European Commission.
- Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021.
"Predicting benchmarked US state employment data in real time,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
See citations under working paper version above.
- Scott Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Realtime," Working Paper Series WP 2019-11, Federal Reserve Bank of Chicago.
- Scott A. Brave & Charles S. Gascon & William Kluender & Thomas Walstrum, 2019. "Predicting Benchmarked US State Employment Data in Real Time," Working Papers 2019-037, Federal Reserve Bank of St. Louis, revised 11 Mar 2021.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Michael Fogarty, 2020.
"The Stay-at-Home Labor Market: Google Searches, Unemployment Insurance, and Public Health Orders,"
Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 436.
Cited by:
- Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
- Ezra Karger & Aastha Rajan, 2020.
"Heterogeneity in the Marginal Propensity to Consume: Evidence from Covid-19 Stimulus Payments,"
Working Paper Series
WP 2020-15, Federal Reserve Bank of Chicago.
- Ezra Karger & Aastha Rajan, 2020. "Heterogeneity in the Marginal Propensity to Consume: Evidence from Covid-19 Stimulus Payments," Working Paper Series WP-2020-15, Federal Reserve Bank of Chicago, revised 21 Feb 2021.
- Wei Cheng & Patrick Carlin & Joanna Carroll & Sumedha Gupta & Felipe Lozano Rojas & Laura Montenovo & Thuy D. Nguyen & Ian M. Schmutte & Olga Scrivner & Kosali I. Simon & Coady Wing & Bruce Weinberg, 2020. "Back to Business and (Re)employing Workers? Labor Market Activity During State COVID-19 Reopenings," NBER Working Papers 27419, National Bureau of Economic Research, Inc.
- Diane Alexander & Ezra Karger, 2020.
"Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior,"
Working Paper Series
WP-2020-12, Federal Reserve Bank of Chicago, revised 19 Aug 2021.
- Diane Alexander & Ezra Karger, 2020. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," Working Paper Series WP 2020-12, Federal Reserve Bank of Chicago.
- Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
- Sumedha Gupta & Laura Montenovo & Thuy D. Nguyen & Felipe Lozano Rojas & Ian M. Schmutte & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020.
"Effects of Social Distancing Policy on Labor Market Outcomes,"
NBER Working Papers
27280, National Bureau of Economic Research, Inc.
- Sumedha Gupta & Laura Montenovo & Thuy Nguyen & Felipe Lozano‐Rojas & Ian Schmutte & Kosali Simon & Bruce A. Weinberg & Coady Wing, 2023. "Effects of social distancing policy on labor market outcomes," Contemporary Economic Policy, Western Economic Association International, vol. 41(1), pages 166-193, January.
- Nakamura, Nobuyuki & Suzuki, Aya, 2021. "COVID-19 and the intentions to migrate from developing countries: Evidence from online search activities in Southeast Asia," Journal of Asian Economics, Elsevier, vol. 76(C).
- Fayaz Farkhad, Bita & Albarracín, Dolores, 2021. "Insights on the implications of COVID-19 mitigation measures for mental health," Economics & Human Biology, Elsevier, vol. 40(C).
- Scott A. Brave & R. Andrew Butters & Michael Fogarty, 2020.
"Looking down the road with ALEX: Forecasting U.S. GDP,"
Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 447, pages 1-5, October.
Cited by:
- Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
- Scott A. Brave & Richard H. Mattoon, 2020.
"Explaining urban economic growth through cluster complementarity,"
Growth and Change, Wiley Blackwell, vol. 51(1), pages 4-33, March.
Cited by:
- Enkang Li & Zhifeng Liu & Yingyi Ma & Wen Zhong & Ruoyan Zhang, 2024. "Manufacturing sector spatial pattern evolution and its relationship with regional economic differences: Evidence from Jiangsu, China," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-23, November.
- Reinhold Kosfeld & Timo Mitze, 2023. "Research and development intensive clusters and regional competitiveness," Growth and Change, Wiley Blackwell, vol. 54(4), pages 885-911, December.
- Guodong Yan & Lin Zou, 2024. "Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China," Growth and Change, Wiley Blackwell, vol. 55(3), September.
- Scott A. Brave & R. Andrew Butters & David Kelley, 2019.
"A New “Big Data” Index of U.S. Economic Activity,"
Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-30.
Cited by:
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022.
"Reconciled Estimates of Monthly GDP in the US,"
Working Papers
22-01, Federal Reserve Bank of Cleveland.
- James Mitchell & Gary Koop & Stuart McIntyre & Aubrey Poon, 2020. "Reconciled Estimates of Monthly GDP in the US," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-16, Economic Statistics Centre of Excellence (ESCoE).
- Chunya Bu & John Rogers & Wenbin Wu, 2019.
"A Unified Measure of Fed Monetary Policy Shocks,"
Finance and Economics Discussion Series
2019-043, Board of Governors of the Federal Reserve System (U.S.).
- Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
- Michael T. Kiley, 2020. "Financial Conditions and Economic Activity: Insights from Machine Learning," Finance and Economics Discussion Series 2020-095, Board of Governors of the Federal Reserve System (U.S.).
- Michael D. Bauer & Eric T. Swanson, 2020.
"The Fed's Response to Economic News Explains the “Fed Information Effect”,"
Working Paper Series
2020-06, Federal Reserve Bank of San Francisco.
- Bauer, Michael D. & Swanson, Eric T., 2021. "The Fed's response to economic news explains the "Fed information effect"," IMFS Working Paper Series 155, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Michael D. Bauer & Eric T. Swanson, 2020. "The Fed's Response to Economic News Explains the "Fed Information Effect"," CESifo Working Paper Series 8151, CESifo.
- Meyer, Brent H. & Prescott, Brian & Sheng, Xuguang Simon, 2022.
"The impact of the COVID-19 pandemic on business expectations,"
International Journal of Forecasting, Elsevier, vol. 38(2), pages 529-544.
- Brent H. Meyer & Brian Prescott & Xuguang Simon Sheng, 2020. "The Impact of the COVID-19 Pandemic on Business Expectations," Working Papers 2020-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Brent Meyer & Brian Prescott & Xuguang Sheng, 2020. "The Impact of the COVID-19 Pandemic on Business Expectations," FRB Atlanta Working Paper 2020-17, Federal Reserve Bank of Atlanta.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022.
"Reconciled Estimates of Monthly GDP in the US,"
Working Papers
22-01, Federal Reserve Bank of Cleveland.
- Scott A. Brave & Kevin A. Roberts, 2019.
"The Competitive Effects of Performance-Enhancing Drugs: MLB in the Posttesting Era,"
Journal of Sports Economics, , vol. 20(6), pages 747-781, August.
Cited by:
- Jeffrey Cisyk, 2020. "Impacts of Performance-Enhancing Drug Suspensions on the Demand for Major League Baseball," Journal of Sports Economics, , vol. 21(4), pages 391-419, May.
- Brave, Scott A. & Butters, R. Andrew & Justiniano, Alejandro, 2019.
"Forecasting economic activity with mixed frequency BVARs,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1692-1707.
Cited by:
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022.
"Reconciled Estimates of Monthly GDP in the US,"
Working Papers
22-01, Federal Reserve Bank of Cleveland.
- James Mitchell & Gary Koop & Stuart McIntyre & Aubrey Poon, 2020. "Reconciled Estimates of Monthly GDP in the US," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-16, Economic Statistics Centre of Excellence (ESCoE).
- Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
- Aaronson, Daniel & Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael & Sacks, Daniel W. & Seo, Boyoung, 2022. "Forecasting unemployment insurance claims in realtime with Google Trends," International Journal of Forecasting, Elsevier, vol. 38(2), pages 567-581.
- Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021.
"Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs,"
JRC Working Papers in Economics and Finance
2021-01, Joint Research Centre, European Commission.
- Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers 2008.12706, arXiv.org, revised Dec 2020.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series 2510, European Central Bank.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Using hierarchical aggregation constraints to nowcast regional economic aggregates," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-04, Economic Statistics Centre of Excellence (ESCoE).
- Tino Berger & James Morley & Benjamin Wong, 2020.
"Nowcasting the Output Gap,"
CAMA Working Papers
2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Berger, Tino & Morley, James & Wong, Benjamin, 2023. "Nowcasting the output gap," Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022.
"Nowcasting with large Bayesian vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
- Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
- Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022.
"Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates,"
Working Papers
22-06, Federal Reserve Bank of Cleveland.
- Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2024. "Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 626-640.
- Daniel Borup & David E. Rapach & Erik Christian Montes Schütte, 2021. "Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data," CREATES Research Papers 2021-02, Department of Economics and Business Economics, Aarhus University.
- Agostino Consolo & Claudia Foroni & Catalina Martínez Hernández, 2023. "A Mixed Frequency BVAR for the Euro Area Labour Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(5), pages 1048-1082, October.
- Sebastian Ankargren & Paulina Jon'eus, 2019. "Estimating Large Mixed-Frequency Bayesian VAR Models," Papers 1912.02231, arXiv.org.
- Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023.
"High-dimensional conditionally Gaussian state space models with missing data,"
Journal of Econometrics, Elsevier, vol. 236(1).
- Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
- Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
- Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
- Consolo, Agostino & Foroni, Claudia & Martínez Hernández, Catalina, 2021. "A mixed frequency BVAR for the euro area labour market," Working Paper Series 2601, European Central Bank.
- Borup, Daniel & Rapach, David E. & Schütte, Erik Christian Montes, 2023. "Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1122-1144.
- Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022.
"Reconciled Estimates of Monthly GDP in the US,"
Working Papers
22-01, Federal Reserve Bank of Cleveland.
- Scott A. Brave & Jose A. Lopez, 2019.
"Calibrating Macroprudential Policy to Forecasts of Financial Stability,"
International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
See citations under working paper version above.
- Scott A. Brave & Jose A. Lopez, 2018. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," Working Paper Series 2017-17, Federal Reserve Bank of San Francisco.
- Scott A. Brave & David L. Kelly, 2017.
"Introducing the Chicago Fed’s New Adjusted National Financial Conditions Index,"
Chicago Fed Letter, Federal Reserve Bank of Chicago.
Cited by:
- Shiyi Wang, 2019. "Capital Flow Volatility: The Effects of Financial Development and Global Financial Conditions," 2019 Papers pwa945, Job Market Papers.
- Tobias Adrian & Hongqi Chen & Max-Sebastian Dov`i & Ji Hyung Lee, 2025. "Machine-learning Growth at Risk," Papers 2506.00572, arXiv.org.
- Altunok, Fatih & Mitchell, Karlyn & Pearce, Douglas K., 2020.
"The trade credit channel and monetary policy transmission: Empirical evidence from U.S. panel data,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 226-250.
- Altunok, Fatih & Mitchell, Karlyn & Pearce, Douglas, 2015. "The trade credit channel and monetary policy transmission: empirical evidence from U.S. panel data," MPRA Paper 66273, University Library of Munich, Germany.
- Ernest Gnan & Maria Teresa Valderrama & Walter Waschiczek, 2019. "Financing conditions in Austria since the introduction of the euro," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 19/Q1-Q2, pages 57-70.
- Daniel Aaronson & Scott Brave & David Kelley, 2016.
"Is There Still Slack in the Labor Market?,"
Chicago Fed Letter, Federal Reserve Bank of Chicago.
Cited by:
- John C. Williams, 2016. "Assessing the New Normal(s). Speech to the Federal Home Loan Bank of San Francisco’s 2016 Member Conference, San Francisco, California, October 21, 2016," Speech 171, Federal Reserve Bank of San Francisco.
- John C. Williams, 2016. "Longview: The Economic Outlook. Speech to the Anchorage Economic Development Corporation, Anchorage, Alaska , August 18, 2016," Speech 168, Federal Reserve Bank of San Francisco.
- John C. Williams, 2016. "Longview: The Economic Outlook," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
- John C. Williams, 2017.
"Looking Back, Looking Ahead,"
Speech
172, Federal Reserve Bank of San Francisco.
- John C. Williams, 2017. "Looking Back, Looking Ahead," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
- Anat Bracha & Mary A. Burke, 2016. "Who counts as employed?: informal work, employment status, and labor market slack," Working Papers 16-29, Federal Reserve Bank of Boston.
- John C. Williams, 2016. "Whither Inflation Targeting? Speech to the Hayek Group, Reno, Nevada, September 6, 2016," Speech 169, Federal Reserve Bank of San Francisco.
- Daniel Aaronson & Scott Brave, 2016.
"Using Private Sector “Big Data” as an Economic Indicator: The Case of Construction Spending,"
Chicago Fed Letter, Federal Reserve Bank of Chicago.
Cited by:
- Alexandre d'Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2024.
"Satellites turn “concrete”: Tracking cement with satellite data and neural networks,"
Post-Print
hal-05104995, HAL.
- d'Aspremont, Alexandre & Ben Arous, Simon & Bricongne, Jean-Charles & Lietti, Benjamin & Meunier, Baptiste, 2025. "Satellites turn “concrete”: Tracking cement with satellite data and neural networks," Journal of Econometrics, Elsevier, vol. 249(PC).
- Alexandre Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2023. "Satellites Turn Concrete : Tracking Cement with Satellite Data and Neural Networks," Working papers 916, Banque de France.
- d’Aspremont, Alexandre & Arous, Simon Ben & Bricongne, Jean-Charles & Lietti, Benjamin & Meunier, Baptiste, 2024. "Satellites turn “concrete”: tracking cement with satellite data and neural networks," Working Paper Series 2900, European Central Bank.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel Sacks & Boyoung Seo, 2020.
"Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims,"
Working Paper Series
WP-2020-10, Federal Reserve Bank of Chicago, revised 16 Apr 2020.
- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
- Alexandre d'Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2024.
"Satellites turn “concrete”: Tracking cement with satellite data and neural networks,"
Post-Print
hal-05104995, HAL.
- Jacob Berman & Scott Brave & Thomas Walstrum, 2015.
"The Chicago Fed Survey of Business Conditions: Quantifying the Seventh District’s Beige Book Report,"
Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III.
Cited by:
- Jesus Cañas & Amy Jordan, 2018. "Texas Service Sector Outlook Survey: Survey Methodology and Performance," Working Papers 1807, Federal Reserve Bank of Dallas.
- Pedro Elosegui & Mirta González & María Cecilia Pérez & Máximo Sangiácomo, 2022. "A Diffusion Index Analysis of the Argentinean Business Economic Cycle During the COVID-19 Pandemic," BCRA Working Paper Series 2022105, Central Bank of Argentina, Economic Research Department.
- Elosegui, Pedro & González, Mirta & Pérez, María Cecilia & Sangiácomo, Máximo, 2024. "A diffusion index analysis of the Argentinean business economic cycle based on the “Survey of Business Economic Perspectives”," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(2).
- Scott Brave & R. Andrew Butters, 2014.
"Nowcasting Using the Chicago Fed National Activity Index,"
Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I, pages 19-37.
Cited by:
- Abdalla, Ahmed & Carabias, Jose M. & Patatoukas, Panos N., 2021. "The real-time macro content of corporate financial reports: a dynamic factor model approach," LSE Research Online Documents on Economics 108539, London School of Economics and Political Science, LSE Library.
- Carabias, Jose M., 2018. "The real-time information content of macroeconomic news: implications for firm-level earnings expectations," LSE Research Online Documents on Economics 86399, London School of Economics and Political Science, LSE Library.
- Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
- Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
- Abdalla, Ahmed M. & Carabias, Jose M. & Patatoukas, Panos N., 2021. "The real-time macro content of corporate financial reports: A dynamic factor model approach," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 260-280.
- Brave, Scott A. & Butters, R. Andrew & Justiniano, Alejandro, 2019. "Forecasting economic activity with mixed frequency BVARs," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1692-1707.
- Sean P. Grover & Kevin L. Kliesen & Michael W. McCracken, 2016. "A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth," Review, Federal Reserve Bank of St. Louis, vol. 98(4), pages 277-296.
- Jose M. Carabias, 2018. "The real-time information content of macroeconomic news: implications for firm-level earnings expectations," Review of Accounting Studies, Springer, vol. 23(1), pages 136-166, March.
- Jiménez Polanco, Miguel Alejandro & López Hawa, Nabil & Ramírez Escoboza, Merlym, 2016. "Indicadores Compuestos de Actividad Económica por sectores para la República Dominicana [Composite Indicators of Economic Activity for the Dominican Republic]," MPRA Paper 75916, University Library of Munich, Germany.
- Scott Brave & Thomas Walstrum, 2014.
"Estimating marginal treatment effects using parametric and semiparametric methods,"
Stata Journal, StataCorp LLC, vol. 14(1), pages 191-217, March.
Cited by:
- Amadu, Festus O. & Miller, Daniel C., 2024. "The impact of forest product collection and processing on household income in rural Liberia," Forest Policy and Economics, Elsevier, vol. 158(C).
- Cornelißen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2018.
"Who benefits from universal child care? Estimating marginal returns to early child care attendance,"
Ruhr Economic Papers
757, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Thomas Cornelissen & Christian Dustmann & Anna Christina Raute & Uta Schönberg, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendanc," CESifo Working Paper Series 7162, CESifo.
- Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance," IZA Discussion Papers 11688, Institute of Labor Economics (IZA).
- Dustmann, Christian & Cornelissen, Thomas & Raute, Anna & Schonberg, Uta, 2018. "Who benefits from universal child care? Estimating marginal returns to early child care attendance," CEPR Discussion Papers 13050, C.E.P.R. Discussion Papers.
- Thomas Cornelissen & Christian Dustmann & Anna Raute & Uta Schönberg, 2018. "Who benefits from universal child care? Estimating marginal returns to early child care attendance," RFBerlin Discussion Paper Series 1808, Rockwool Foundation Berlin (RF Berlin).
- Thomas Cornelissen & Christian Dustmann & Anna Raute & Uta Schönberg, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2356-2409.
- Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016.
"From Late to MTE: Alternative Methods for the Evaluation of Policy Interventions,"
IZA Discussion Papers
10056, Institute of Labor Economics (IZA).
- Cornelissen, Thomas & Dustmann, Christian & Raute, Anna & Schönberg, Uta, 2016. "From LATE to MTE: Alternative methods for the evaluation of policy interventions," Labour Economics, Elsevier, vol. 41(C), pages 47-60.
- Thomas Cornelissen & Christian Dustmann & Anna Christina Raute & Uta Schönberg, 2016. "From Late to MTE: Alternative Methods for the Evaluation of Policy Interventions," CESifo Working Paper Series 5987, CESifo.
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"Calibrating Macroprudential Policy to Forecasts of Financial Stability,"
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VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order
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