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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:
  1. 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:

    1. > Econometrics > Time Series Models > Dynamic Factor Models
  2. 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:

    1. > Econometrics > Forecasting > Nowcasting
    2. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

Working papers

  1. 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:

    1. 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.

  2. 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:

    1. 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.

  3. 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.

    Cited by:

    1. 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.
    2. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Andrew B. Martinez, 2025. "How do Macroeconomic Expectations React to Extreme Weather Shocks?," Working Papers 2025-001, The George Washington University, The Center for Economic Research.
    8. 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).
    9. 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.
    10. 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).
    11. 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).
    12. 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).
    13. 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.

  4. 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.

    Cited by:

    1. 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.
    2. 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.

  5. 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.

    Cited by:

    1. Hale, Galina & Lopez, Jose A., 2019. "Monitoring banking system connectedness with big data," Journal of Econometrics, Elsevier, vol. 212(1), pages 203-220.
    2. 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.
    3. 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.
    4. Pfeifer, Lukáš & Hodula, Martin, 2021. "A profit-to-provisioning approach to setting the countercyclical capital buffer," Economic Systems, Elsevier, vol. 45(1).

  6. 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:

    1. Kerry Loaiza-Marín, 2022. "Nowcasting the Costa Rican Quarterly Output Growth," Documentos de Trabajo 2107, Banco Central de Costa Rica.
    2. 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).
    3. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020. "Computationally efficient inference in large Bayesian mixed frequency VARs," Economics Letters, Elsevier, vol. 191(C).
    4. 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.
    5. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2026. "Fiscal monitoring with VARs," Working Paper Series 3186, European Central Bank.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
    12. 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.

  7. 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:

    1. 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).
    2. 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.
    3. 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.
    4. 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.).
    5. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Mitsuru Katagiri, 2016. "Forward Guidance as a Monetary Policy Rule," Bank of Japan Working Paper Series 16-E-6, Bank of Japan.
    11. 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.
    12. 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.
    13. 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.
    14. 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.

  8. Scott Brave & Hesna Genay, 2011. "Federal Reserve policies and financial market conditions during the crisis," Proceedings 1129, Federal Reserve Bank of Chicago.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

  9. 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:

    1. Drenkovska, Marija & Lenarčič, Črt, 2025. "Financial markets stress indicator for Slovenia (FIMSIS)," MPRA Paper 125551, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Mr. Nombulelo Gumata & Mr. Eliphas Ndou & Nir Klein, 2012. "A Financial Conditions Index for South Africa," IMF Working Papers 2012/196, International Monetary Fund.
    8. 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.
    9. Dimitrios P. Louzis & Angelos T. Vouldis, 2013. "A financial systemic stress index for Greece," Working Papers 155, Bank of Greece.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.).
    16. 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.
    17. 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

  1. 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:

    1. Jacob Dolinar & Patrick Sabourin & Matt West, 2025. "Synthesizing Signals from the Canadian Survey of Consumer Expectations," Discussion Papers 2025-11, Bank of Canada.

  2. 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:

    1. 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).
    2. Oxana Babecka Kucharcukova & Jan Bruha & Petr Sterba, 2025. "Web Reviews as a New Leading Indicator for Nowcasting Travel Expenditure in Balance of Payments Statistics," Working Papers 2025/13, Czech National Bank, Research and Statistics Department.
    3. 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.
    4. 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.
    5. 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.
    6. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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.

  3. 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.
  4. 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:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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).

  5. 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:

    1. 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.

  6. 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:

    1. 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.
    2. 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.
    3. 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.

  7. 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:

    1. 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.).
    2. 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.
    3. 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).
    4. 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).
    5. 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.

  8. 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:

    1. 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.

  9. 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:

    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. Urmat Dzhunkeev, 2025. "MOSES: Macroeconomic Forecasting with Models and Sentiment Synthesis," Russian Journal of Money and Finance, Bank of Russia, vol. 84(4), pages 63-84, December.
    6. Berger, Tino & Morley, James & Wong, Benjamin, 2023. "Nowcasting the output gap," Journal of Econometrics, Elsevier, vol. 232(1), pages 18-34.
      • 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.
    7. Sebastian Ankargren & Paulina Jon'eus, 2019. "Estimating Large Mixed-Frequency Bayesian VAR Models," Papers 1912.02231, arXiv.org.
    8. Alain Hecq & Marie Ternes & Ines Wilms, 2021. "Hierarchical Regularizers for Mixed-Frequency Vector Autoregressions," Papers 2102.11780, arXiv.org, revised Mar 2022.
    9. Joshua C. C. Chan & Aubrey Poon & Dan Zhu, 2023. "High-Dimensional Conditionally Gaussian State Space Models with Missing Data," Papers 2302.03172, arXiv.org.
    10. 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.
    11. 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.
    12. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    13. Faridoon Khan & Hasnain Iftikhar & Imran Khan & Paulo Canas Rodrigues & Abdulmajeed Atiah Alharbi & Jeza Allohibi, 2025. "A Hybrid Vector Autoregressive Model for Accurate Macroeconomic Forecasting: An Application to the U.S. Economy," Mathematics, MDPI, vol. 13(11), pages 1-16, May.
    14. 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.
    15. 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.
    16. 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.
    17. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
    18. 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.
    19. 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.

  10. 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.
  11. 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:

    1. Shiyi Wang, 2019. "Capital Flow Volatility: The Effects of Financial Development and Global Financial Conditions," 2019 Papers pwa945, Job Market Papers.
    2. Artemova, Mariia, 2025. "An order-invariant score-driven dynamic factor model," Journal of Econometrics, Elsevier, vol. 251(C).
    3. 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.
    4. Benoit Mojon & Phurichai Rungcharoenkitkul & Dora Xia, 2025. "Integrating balance sheet policy into monetary policy conditions," BIS Working Papers 1281, Bank for International Settlements.
    5. Tobias Adrian & Hongqi Chen & Max-Sebastian Dov`i & Ji Hyung Lee, 2025. "Machine-learning Growth at Risk," Papers 2506.00572, arXiv.org.
    6. 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.

  12. 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:

    1. 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.
    2. John C. Williams, 2016. "Longview: The Economic Outlook," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    3. 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.
    4. 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.
    5. John C. Williams, 2017. "Looking Back, Looking Ahead," Speech 172, Federal Reserve Bank of San Francisco.
    6. 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.

  13. 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:

    1. 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.
    2. 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.

  14. 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:

    1. 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.
    2. 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).
    3. Jesus Cañas & Amy Jordan, 2018. "Texas Service Sector Outlook Survey: Survey Methodology and Performance," Working Papers 1807, Federal Reserve Bank of Dallas.

  15. 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:

    1. Moscelli, Giuseppe & Siciliani, Luigi & Gutacker, Nils & Cookson, Richard, 2018. "Socioeconomic inequality of access to healthcare: Does choice explain the gradient?," Journal of Health Economics, Elsevier, vol. 57(C), pages 290-314.
    2. Rob J. M. Alessie & Viola Angelini & Jochen O. Mierau & Laura Viluma, 2020. "Moral hazard and selection for voluntary deductibles," Health Economics, John Wiley & Sons, Ltd., vol. 29(10), pages 1251-1269, October.
    3. Tomás Cortés & Nicolás Grau & Jorge Rivera, 2019. "Juvenile Incarceration and Adult Recidivism," Working Papers wp482, University of Chile, Department of Economics.
    4. Giesecke, Matthias & Schuss, Eric, 2019. "Heterogeneity in marginal returns to language training of immigrants," Ruhr Economic Papers 812, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. 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.
    6. Dustmann, Christian & Cornelissen, Thomas & Raute, Anna & Schonberg, Uta, 2016. "From Late To Mte: Alternative Methods For The Evaluation Of Policy Interventions," CEPR Discussion Papers 11390, C.E.P.R. Discussion Papers.
    7. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    8. Mnasri, Mohamed & Dionne, Georges & Gueyie, Jean-Pierre, 2017. "The use of nonlinear hedging strategies by US oil producers: Motivations and implications," Energy Economics, Elsevier, vol. 63(C), pages 348-364.
    9. Fentie, Amare & Beyene, Abebe D., 2019. "Climate-smart agricultural practices and welfare of rural smallholders in Ethiopia: Does planting method matter?," Land Use Policy, Elsevier, vol. 85(C), pages 387-396.
    10. Wang, Tong & Jin, Hailong, 2024. "Impact of cost share programs on conservation practice adoption: A new perspective," 2024 Annual Meeting, July 28-30, New Orleans, LA 343974, Agricultural and Applied Economics Association.
    11. Eric Schuss & Mohammed Azaouagh, 2021. "Combining parenthood and work: transmission channels and heterogeneous returns to early public childcare," Review of Economics of the Household, Springer, vol. 19(3), pages 641-676, September.
    12. Francetic, I.N.;, 2022. "Selection on moral hazard in the Swiss market for mandatory health insurance: Empirical evidence from Swiss Household Panel data," Health, Econometrics and Data Group (HEDG) Working Papers 22/24, HEDG, c/o Department of Economics, University of York.
    13. Afzali, Mansoor, 2023. "Corporate culture and financial statement comparability," Advances in accounting, Elsevier, vol. 60(C).
    14. Nicolás Arturo Torres Franco & Eleonora Dávalos & Leonardo Fabio Morales, 2021. "Heterogeneous effects of agricultural technical assistance in Colombia," Borradores de Economia 1164, Banco de la Republica de Colombia.
    15. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    16. Richard Dorsett & Lucy Stokes, 2022. "Pre‐apprenticeship training for young people: Estimating the marginal and average treatment effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 37-60, January.
    17. Cariappa, A.G. Adeeth & Chandel, B.S., . "Interlink between factor and product markets: opportunity for the future of Indian agriculture," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 33(Conferenc).
    18. 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).
    19. Fentie, Amare & Beyene, Abebe D., 2018. "Climate-Smart Agricultural Practices and Welfare of Rural Smallholders in Ethiopia: Does Planting Method Matter?," EfD Discussion Paper 18-8, Environment for Development, University of Gothenburg.
    20. Elisa Gerten & Michael Beckmann & Elisa Gerten & Matthias Kräkel, 2022. "Information and Communication Technology, Hierarchy, and Job Design," ECONtribute Discussion Papers Series 189, University of Bonn and University of Cologne, Germany.
    21. Georges Dionne & Mohamed Mnasri, 2018. "Real implications of corporate risk management: Evidence from U.S. oil producers," Working Papers 18-5, HEC Montreal, Canada Research Chair in Risk Management.
    22. Lauber, Verena & Thomas, Lampert, 2014. "The Effect of Early Universal Daycare on Child Weight Problems," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100399, Verein für Socialpolitik / German Economic Association.
    23. Dionne, Georges & Gueyie, Jean-Pierre & Mnasri, Mohamed, 2018. "Dynamic corporate risk management: Motivations and real implications," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 97-111.
    24. Spanos, Yiannis E., 2021. "Exploring heterogeneous returns to collaborative R&D: A marginal treatment effects perspective," Research Policy, Elsevier, vol. 50(5).
    25. Amadu, Festus O. & McNamara, Paul E., 2025. "Agricultural stakeholder panels and lead farmer visits: Evidence from Malawi," World Development Perspectives, Elsevier, vol. 39(C).
    26. Misael Anaya-Montes & Hugh Gravelle, 2024. "Health insurance system fragmentation and COVID-19 mortality: Evidence from Peru," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-28, August.
    27. Péron, M.; & Dormont, B.;, 2018. "Heterogeneous moral hazard in Supplementary Health Insurance," Health, Econometrics and Data Group (HEDG) Working Papers 18/27, HEDG, c/o Department of Economics, University of York.

  16. 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:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  17. Scott Brave & R. Andrew Butters, 2013. "Estimating the trend rate of economic growth using the CFNAI," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue June.

    Cited by:

    1. Kim, Myeong Hyeon & Kim, Baeho, 2014. "Systematic cyclicality of systemic bubbles: Evidence from the U.S. commercial banking system," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 281-297.
    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.

  18. Daniel Aaronson & Scott Brave, 2013. "Estimating the trend in employment growth," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue July.

    Cited by:

    1. Mark E. Schweitzer & Murat Tasci, 2013. "What constitutes substantial employment gains in today’s labor market?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Jun.
    2. Julie L. Hotchkiss, 2022. "Millennials: Maligned or miscreants?," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1248-1276, April.
    3. Chinn, Menzie & Ferrara, Laurent & Mignon, Valérie, 2014. "Explaining US employment growth after the great recession: The role of output–employment non-linearities," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 118-129.

  19. 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.

    Cited by:

    1. Arianna Miglietta & Fabrizio Venditti, 2019. "An indicator of macro-financial stress for Italy," Questioni di Economia e Finanza (Occasional Papers) 497, Bank of Italy, Economic Research and International Relations Area.
    2. Francesco Corsello & Valerio Nispi Landi, 2018. "Labor market and financial shocks: a time varying analysis," Temi di discussione (Economic working papers) 1179, Bank of Italy, Economic Research and International Relations Area.
    3. Fink, Fabian & Schüler, Yves S., 2015. "The transmission of US systemic financial stress: Evidence for emerging market economies," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 6-26.
    4. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).
    5. Angelopoulou, Eleni & Balfoussia, Hiona & Gibson, Heather, 2013. "Building a financial conditions index for the euro area and selected euro area countries: what does it tell us about the crisis?," Working Paper Series 1541, European Central Bank.
    6. Margarita Debuque-Gonzales & Maria Socorro Gochoco-Bautista, 2017. "Financial Conditions Indexes and Monetary Policy in Asia," Asian Economic Papers, MIT Press, vol. 16(2), pages 83-117, Summer.
    7. Aaron J. Amburgey & Michael W. McCracken, 2023. "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
    8. Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2021. "Multimodality In Macrofinancial Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 861-886, May.
    9. Alejandro Justiniano, 2012. "Comment on "Structural and Cyclical Forces in the Labor Market during the Great Recession: Cross-Country Evidence"," NBER Chapters, in: NBER International Seminar on Macroeconomics 2012, pages 415-424, National Bureau of Economic Research, Inc.
    10. A. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2012. "Financial Conditions Indices for the Turkish Economy," CBT Research Notes in Economics 1231, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Sofiane Aboura & Björn van Roye, 2017. "Financial stress and economic dynamics: An application to France," Working Papers hal-01526393, HAL.
    12. Mary Chen & Matthew DeHaven & Isabel Kitschelt & Seung Jung Lee & Martin J. Sicilian, 2023. "Identifying Financial Crises Using Machine Learning on Textual Data," JRFM, MDPI, vol. 16(3), pages 1-28, March.
    13. Hilde C. Bjørnland & Roberto Casarin & Marco Lorusso & Francesco Ravazzolo, 2023. "Fiscal Policy Regimes in Resource-Rich Economies," Working Papers No 13/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    14. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.
    15. Rémy Charleroy & Michael A. Stemmer, 2014. "An Emerging Market Financial Conditions Index: A VAR Approach," Post-Print halshs-01110688, HAL.
    16. Andisheh Saliminezhad & Pejman Bahramian, 2021. "The role of financial stress in the economic activity: Fresh evidence from a Granger‐causality in quantiles analysis for the UK and Germany," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1670-1680, April.
    17. Dunbar, Kwamie, 2022. "Impact of the COVID-19 event on U.S. banks’ financial soundness," Research in International Business and Finance, Elsevier, vol. 59(C).
    18. Hakan Kara & Pinar Ozlu & Deren Unalmis, 2015. "Turkiye icin Finansal Kosullar Endeksi," Working Papers 1513, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    19. Tomas Adam & Sona Benecka & Jakub Mateju, 2014. "Risk Aversion, Financial Stress and Their Non-Linear Impact on Exchange Rates," Working Papers 2014/07, Czech National Bank, Research and Statistics Department.
    20. Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020. "Financial Variables as Predictors of Real Growth Vulnerability," Documents de Travail de l'OFCE 2020-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    21. 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.
    22. Arrigoni, Simone & Bobasu, Alina & Venditti, Fabrizio, 2020. "The simpler the better: measuring financial conditions for monetary policy and financial stability," Working Paper Series 2451, European Central Bank.
    23. Renee Fry-McKibbin & Jasmine Zheng, 2016. "Effects of US Monetary Policy Shocks During Financial Crises - A Threshold Vector Autoregression Approach," CAMA Working Papers 2016-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    24. Umit Bulut, 2016. "Do Financial Conditions have a Predictive Power on Inflation in Turkey?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 621-628.
    25. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial regimes and uncertainty shocks," BCAM Working Papers 1404, Birkbeck Centre for Applied Macroeconomics.
    26. Kim, Hyeongwoo & Shi, Wen, 2018. "Forecasting Financial Vulnerability in the US: A Factor Model Approach," MPRA Paper 89766, University Library of Munich, Germany.
    27. Thibaut Duprey & Benjamin Klaus & Tuomas Peltonen, 2016. "Dating Systemic Financial Stress Episodes in the EU Countries," Staff Working Papers 16-11, Bank of Canada.
    28. Kwark, Noh-Sun & Lee, Changhyun, 2021. "Asymmetric effects of financial conditions on GDP growth in Korea: A quantile regression analysis," Economic Modelling, Elsevier, vol. 94(C), pages 351-369.
    29. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial conditions and density forecasts for US output and inflation," CReMFi Discussion Papers 1, CReMFi, School of Economics and Finance, QMUL.
    30. Kaelo Ntwaepelo & Grivas Chiyaba, 2022. "Financial Stability Surveillance Tools: Evaluating the Performance of Stress Indices," Economics Discussion Papers em-dp2022-06, Department of Economics, University of Reading.
    31. Dooyeon Cho & Seunghwa Rho, 2024. "Reassessing growth vulnerability," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 225-234, January.
    32. Benchimol, Jonathan, 2016. "Money and monetary policy in Israel during the last decade," MPRA Paper 69587, University Library of Munich, Germany.
    33. 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.
    34. Ana B. Galvão & Michael T. Owyang, 2014. "Financial stress regimes and the macroeconomy," Working Papers 2014-20, Federal Reserve Bank of St. Louis.
    35. Mary Chen & Matthew DeHaven & Isabel Kitschelt & Seung Jung Lee & Martin Sicilian, 2023. "Identifying Financial Crises Using Machine Learning on Textual Data," International Finance Discussion Papers 1374, Board of Governors of the Federal Reserve System (U.S.).
    36. Jean-Pierre Allegret & Audrey Allegret-Sallenave, 2018. "The Role of International Reserves Holding in Buffering External Shocks," Post-Print halshs-01665908, HAL.
    37. Kremer, Manfred & Chavleishvili, Sulkhan, 2021. "Measuring Systemic Financial Stress and its Impact on the Macroeconomy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242346, Verein für Socialpolitik / German Economic Association.
    38. Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2020. "Forecasting Macroeconomic Risks," Staff Reports 914, Federal Reserve Bank of New York.
    39. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    40. Asano, Takao & Cai, Xiaojing & Sakemoto, Ryuta, 2025. "Global foreign exchange volatility, ambiguity, and currency carry trades," Journal of Banking & Finance, Elsevier, vol. 178(C).
    41. Leonardo Nogueira Ferreira, 2023. "Monetary Policy Surprises, Financial Conditions, and the String Theory Revisited," Working Papers Series 573, Central Bank of Brazil, Research Department.
    42. Adam, Tomáš & Benecká, Soňa & Matějů, Jakub, 2018. "Financial stress and its non-linear impact on CEE exchange rates," Journal of Financial Stability, Elsevier, vol. 36(C), pages 346-360.
    43. Saad Ahmad, 2020. "Identifying a robust policy rule for the Fed's response to financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 565-578, October.
    44. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    45. Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2016. "Vulnerable Growth," CEPR Discussion Papers 11583, C.E.P.R. Discussion Papers.
    46. Falconio, Andrea & Manganelli, Simone, 2025. "Financial conditions, business cycle fluctuations and growth-at-risk," Journal of Economic Dynamics and Control, Elsevier, vol. 176(C).
    47. Kappler, Marcus & Schleer, Frauke, 2017. "A financially stressed euro area," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 11, pages 1-37.
    48. Schüler, Yves S. & Fink, Fabian, 2013. "The Transmission of US Financial Stress: Evidence for Emerging Market Economies," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79692, Verein für Socialpolitik / German Economic Association.
    49. Bert Smoluk, 2026. "Credit cycles, lending shocks, and the business cycle," Journal of Banking Regulation, Palgrave Macmillan, vol. 27(1), pages 1-15, March.
    50. Thi Huyen Tran & Robert Ślepaczuk, 2022. "Quantile regression analysis to predict GDP distribution using data from the US and UK," Working Papers 2022-30, Faculty of Economic Sciences, University of Warsaw.
    51. Fève, Patrick & Garcia, Pablo & Sahuc, Jean-Guillaume, 2017. "State-dependent risk taking and the transmission of monetary policy shocks," TSE Working Papers 17-872, Toulouse School of Economics (TSE).
    52. Klodiana Istrefi & Florens Odendahl & Giulia Sestieri, 2021. "Fed communication on financial stability concerns and monetary policy decisions: revelations from speeches," Working Papers 2110, Banco de España.
    53. Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024. "Expecting the unexpected: Stressed scenarios for economic growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.
    54. 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.
    55. Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
    56. Nam Gang Lee, 2020. "Vulnerable Growth: A Revisit," Working Papers 2020-22, Economic Research Institute, Bank of Korea.
    57. Kevin L. Kliesen & Michael T. Owyang & E. Katarina Vermann, 2012. "Disentangling diverse measures: a survey of financial stress indexes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 369-398.
    58. Duprey, Thibaut & Klaus, Benjamin, 2022. "Early warning or too late? A (pseudo-)real-time identification of leading indicators of financial stress," Journal of Banking & Finance, Elsevier, vol. 138(C).
    59. Brum-Civelli, Conrado & Fried-Gindel, Alejandro & Garcia-Hiernaux, Alfredo, 2024. "IFCI-SA: International financial conditions index for South American economies," Research in International Business and Finance, Elsevier, vol. 72(PA).
    60. Mr. Luis Brandão-Marques & Mrs. Esther Perez Ruiz, 2017. "How Financial Conditions Matter Differently across Latin America," IMF Working Papers 2017/218, International Monetary Fund.
    61. Simone Arrigoni & Alina Bobasu & Fabrizio Venditti, 2022. "Measuring Financial Conditions using Equal Weights Combination," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 668-697, December.
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  20. Scott Brave & Max Lichtenstein, 2012. "A different way to review the Chicago Fed National Activity Index," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue May.

    Cited by:

    1. 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.

  21. Scott Brave & R. Andrew Butters, 2012. "Detecting early signs of financial instability," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Dec.

    Cited by:

    1. 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.

  22. Scott Brave & R. Andrew Butters, 2011. "Monitoring financial stability: a financial conditions index approach," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 35(Q I), pages 22-43.

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    1. Francesco Corsello & Valerio Nispi Landi, 2018. "Labor market and financial shocks: a time varying analysis," Temi di discussione (Economic working papers) 1179, Bank of Italy, Economic Research and International Relations Area.
    2. Fink, Fabian & Schüler, Yves S., 2015. "The transmission of US systemic financial stress: Evidence for emerging market economies," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 6-26.
    3. Dimitris, Korobilis, 2013. "Forecasting with Factor Models: A Bayesian Model Averaging Perspective," MPRA Paper 52724, University Library of Munich, Germany.
    4. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).
    5. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    6. Giovanni Caggiano & Efrem Castelnuovo & Giovanni Pellegrino, 2018. "Estimating the Real Effects of Uncertainty Shocks at the Zero Lower Bound," "Marco Fanno" Working Papers 0222, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Margarita Debuque-Gonzales & Maria Socorro Gochoco-Bautista, 2017. "Financial Conditions Indexes and Monetary Policy in Asia," Asian Economic Papers, MIT Press, vol. 16(2), pages 83-117, Summer.
    8. Thiago Revil T. Ferreira, 2018. "Stock Market Cross-Sectional Skewness and Business Cycle Fluctuations," International Finance Discussion Papers 1223, Board of Governors of the Federal Reserve System (U.S.).
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    11. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    12. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2017. "A Tourism Financial Conditions Index for Tourism Finance," Tinbergen Institute Discussion Papers 17-071/III, Tinbergen Institute.
    13. Maik Schmeling & Andreas Schrimpf & Sigurd A. M. Steffensen, 2022. "Monetary policy expectation errors," BIS Working Papers 996, Bank for International Settlements.
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    22. Espino, Freddy, 2012. "Un Índice de Estabilidad Bancaria para Perú," Working Papers 2012-015, Banco Central de Reserva del Perú.
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    27. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Documentos de Trabajo del ICAE 2014-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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    49. Hafemann, Lucas, 2023. "A house prices at risk approach for the German residential real estate market," Technical Papers 07/2023, Deutsche Bundesbank.
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    114. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Vulnerable funding in the global economy," Journal of Banking & Finance, Elsevier, vol. 169(C).
    115. Jayantee SAHOO, 2020. "Financial stress index, growth and price stability in India: Some recent evidence," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(622), S), pages 105-124, Spring.
    116. Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
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  23. Scott Brave & R. Andrew Butters, 2010. "Chicago Fed National Activity Index turns ten - analyzing its first decade of performance," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Apr.

    Cited by:

    1. 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.
    2. 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.
    3. 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.

  24. Scott Brave & Chenfei Lu, 2010. "A snapshot of the Midwest economy: past and present," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Nov.

    Cited by:

    1. Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014. "Metro Business Cycles," Working Papers 2014-46, Federal Reserve Bank of St. Louis.

  25. Scott Brave, 2009. "The Chicago Fed National Activity Index and business cycles," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Nov.

    Cited by:

    1. Nicholas Taylor, 2014. "Economic forecast quality: information timeliness and data vintage effects," Empirical Economics, Springer, vol. 46(1), pages 145-174, February.
    2. Saleh Mothana Obadi & Kristina Gardonova, 2019. "How does the Production of Unconventional Resources of Energy Influence Energy Security: Empirical Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 46-54.
    3. Conefrey, Thomas & Walsh, Graeme, 2018. "A Monthly Indicator of Economic Activity for Ireland," Economic Letters 14/EL/18, Central Bank of Ireland.
    4. Van Son Lai & Xiaoxia Ye & Lu Zhao, 2018. "Are Market Views on Banking Industry Useful for Forecasting Economic Growth?," Working Papers 2018-001, Department of Research, Ipag Business School.
    5. David Lang & Kevin J. Lansing, 2010. "Forecasting growth over the next year with a business cycle index," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sep27.
    6. 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.
    7. Sanjay R. Singh & Nicolas Caramp, 2020. "Bond Premium Cyclicality and Liquidity Traps," Working Papers 336, University of California, Davis, Department of Economics.
    8. Chava, Sudheer & Hsu, Alex & Zeng, Linghang, 2020. "Does history repeat itself? Business cycle and industry returns," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 201-218.
    9. Cong Wang, 2024. "Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis," Papers 2408.09271, arXiv.org, revised Sep 2024.
    10. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    11. Cong Wang, 2024. "Stock return prediction with multiple measures using neural network models," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-34, December.

  26. Daniel Aaronson & Scott Brave, 2009. "How does labor adjustment in this recession compare with the past?," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Jun.

    Cited by:

    1. Cazes, Sandrine., 2009. "Labour market policies in times of crisis," ILO Working Papers 994341633402676, International Labour Organization.
    2. Daniel Aaronson & Bhashkar Mazumder & Shani Schechter, 2010. "What is behind the rise in long-term unemployment?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 34(Q II), pages 28-51.

  27. Scott Brave, 2008. "Economic trends and the Chicago Fed National Activity Index," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue May.

    Cited by:

    1. Jose Asturias & William R. Bell & Rebecca Hutchinson & Tucker McElroy & Katherine J. Thompson, 2023. "Building the Census Bureau Index of Economic Activity (IDEA)," Working Papers 23-15, Center for Economic Studies, U.S. Census Bureau.
    2. Zhang Wu & Terence Tai-Leung Chong, 2021. "Does the macroeconomy matter to market volatility? Evidence from US industries," Empirical Economics, Springer, vol. 61(6), pages 2931-2962, December.
    3. 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.

  28. Scott Brave & Jonas D. M. Fisher, 2004. "In search of a robust inflation forecast," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 28(Q IV), pages 12-31.

    Cited by:

    1. Marie Diron & Benoit Mojon, 2008. "Are inflation targets good inflation forecasts?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 32(Q II), pages 33-45.
    2. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    3. Chletsos, Michael & Drosou, Vasiliki & Roupakias, Stelios, 2016. "Can Phillips curve explain the recent behavior of inflation? Further evidence from USA and Canada," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 20-28.
    4. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    5. James H. Stock & Mark W. Watson, 2008. "Phillips Curve Inflation Forecasts," NBER Working Papers 14322, National Bureau of Economic Research, Inc.
    6. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2009. "A naïve sticky information model of households' inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1332-1344, June.
    7. Novikova Natalia & Volkov Dmitry, 2012. "Modelling core inflation in Ukraine in 2003-2012," EERC Working Paper Series 12/12e, EERC Research Network, Russia and CIS.
    8. 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.
    9. Kazeem O. Isah & Abdulkader C. Mahomedy & Elias A. Udeaja & Ojo J. Adelakun & Yusuf Yakubu & Danmecca Musa, 2022. "Revisiting the accuracy of inflation forecasts in Nigeria: The oil price–exchange rate–asymmetry perspectives," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 329-348, September.
    10. Todd E. Clark & Michael W. McCracken, 2006. "Combining forecasts from nested models," Research Working Paper RWP 06-02, Federal Reserve Bank of Kansas City.
    11. Christian Gillitzer & Jonathan Kearns, 2007. "Forecasting with Factors: The Accuracy of Timeliness," RBA Research Discussion Papers rdp2007-03, Reserve Bank of Australia.
    12. Doyle, Matthew, 2006. "Empirical Phillips Curves in OECD Countries: Has There Been A Common Breakdown?," Staff General Research Papers Archive 12684, Iowa State University, Department of Economics.

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