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Patrick Curry Higgins

Personal Details

First Name:Patrick
Middle Name:Curry
Last Name:Higgins
Suffix:
RePEc Short-ID:phi135
[This author has chosen not to make the email address public]

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kaiji Chen & Patrick C. Higgins & Tao Zha, 2024. "Constructing Quarterly Chinese Time Series Usable for Macroeconomic Analysis," NBER Working Papers 32087, National Bureau of Economic Research, Inc.
  2. Kaiji Chen & Patrick C. Higgins & Tao Zha, 2020. "Cyclical Lending Standards: A Structural Analysis," FRB Atlanta Working Paper 2020-6, Federal Reserve Bank of Atlanta.
  3. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," FRB Atlanta Working Paper 2020-16, Federal Reserve Bank of Atlanta.
  4. David E. Altig & Alan J. Auerbach & Patrick C. Higgins & Darryl Koehler & Laurence J. Kotlikoff & Michael Leiseca & Ellie Terry & Victor Ye, 2019. "Did the 2017 Tax Reform Discriminate against Blue State Voters?," FRB Atlanta Working Paper 2019-7, Federal Reserve Bank of Atlanta.
  5. Patrick C. Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," FRB Atlanta Working Paper 2016-7, Federal Reserve Bank of Atlanta.
  6. Kaiji Chen & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and Macroeconomy: Evidence from China," FRB Atlanta Working Paper 2016-9, Federal Reserve Bank of Atlanta.
  7. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
  8. Gabriele Galati & Patrick C. Higgins & Owen F. Humpage & William R. Melick, 2006. "Option prices, exchange market intervention, and the higher moment expectations channel: a user’s guide," Working Papers (Old Series) 0618, Federal Reserve Bank of Cleveland.

    repec:fip:a00001:94156 is not listed on IDEAS

Articles

  1. Patrick C. Higgins & M. Melinda Pitts & David Wiczer, 2024. "Industry-Level Sources for Solid US Employment Growth: Running on Empty or More Room to Run?," Policy Hub, Federal Reserve Bank of Atlanta, vol. 2024(8), pages 1-19, November.
  2. Patrick C. Higgins, 2021. "The Phillips Curve during the Pandemic: Bringing Regional Data to Bear," Policy Hub, Federal Reserve Bank of Atlanta, vol. 2021(11), September.
  3. Kaiji Chen & Patrick Higgins & Tao Zha, 2021. "Cyclical Lending Standards: A Structural Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 283-306, October.
  4. Gabriele Galati & Patrick Higgins & Owen Humpage & William Melick, 2007. "Option prices, exchange market intervention, and the higher moment expectations channel: a user's guide," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 225-247.
  5. John B. Carlson & Ben R. Craig & Patrick C. Higgins & William R. Melick, 2006. "FOMC communications and the predictability of near-term policy decisions," Economic Commentary, Federal Reserve Bank of Cleveland, issue Jun.
  6. Patrick C. Higgins & Owen F. Humpage, 2005. "Nondeliverable forwards: can we tell where the renminbi is headed?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Sep.
  7. Patrick C. Higgins & Owen F. Humpage, 2005. "The Chinese renminbi: what’s real, what’s not," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.
  8. Patrick C. Higgins & Owen F. Humpage, 2004. "Walking on a fence: Brazils public-sector debt," Policy Discussion Papers, Federal Reserve Bank of Cleveland, issue Feb.
  9. Joseph G. Haubrich & Patrick C. Higgins & Janet Miller, 2004. "Oil prices: backward to the future?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Dec.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Kaiji Chen & Patrick C. Higgins & Tao Zha, 2020. "Cyclical Lending Standards: A Structural Analysis," NBER Working Papers 27214, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. Cycles in lending standards : Data from the senior loan officer opinion survey
      by ? in FRED blog on 2023-01-26 14:00:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting

Working papers

  1. Kaiji Chen & Patrick C. Higgins & Tao Zha, 2020. "Cyclical Lending Standards: A Structural Analysis," FRB Atlanta Working Paper 2020-6, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Ricci, Lorenzo & Soggia, Giovanni & Trimarchi, Lorenzo, 2023. "The impact of bank lending standards on credit to firms," Journal of Banking & Finance, Elsevier, vol. 152(C).
    2. Shengquan Wang & Rong Luo, 2024. "Income distribution, financial liberalisations and banking stability: Theory and international evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 2837-2864, July.
    3. Ewa Wróbel, 2022. "What drives bank lending policy? The evidence from bank lending survey for Poland," NBP Working Papers 352, Narodowy Bank Polski.
    4. Ferrero, Andrea & Harrison, Richard & Nelson, Benjamin, 2018. "House Price Dynamics, Optimal LTV Limits and the Liquidity Trap," CEPR Discussion Papers 13400, C.E.P.R. Discussion Papers.
    5. Liu, Yan & Zhao, Xueqing, 2023. "On the factors driving bank lending standards: Global evidence from bank lending surveys," Economics Letters, Elsevier, vol. 233(C).
    6. Kyle Dempsey & Felicia Ionescu, 2021. "Lending Standards and Borrowing Premia in Unsecured Credit Markets," Finance and Economics Discussion Series 2021-039, Board of Governors of the Federal Reserve System (U.S.).

  2. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," FRB Atlanta Working Paper 2020-16, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Das, Sonali & Song, Wenting, 2023. "Monetary policy transmission and policy coordination in China," China Economic Review, Elsevier, vol. 82(C).
    2. Deng, Jiapin & Liu, Qiao, 2024. "Good finance, bad finance, and resource misallocation: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 159(C).

  3. David E. Altig & Alan J. Auerbach & Patrick C. Higgins & Darryl Koehler & Laurence J. Kotlikoff & Michael Leiseca & Ellie Terry & Victor Ye, 2019. "Did the 2017 Tax Reform Discriminate against Blue State Voters?," FRB Atlanta Working Paper 2019-7, Federal Reserve Bank of Atlanta.

    Cited by:

    1. David Parsley & Helen Popper, 2021. "Risk Sharing in a Politically Divided Monetary Union," Open Economies Review, Springer, vol. 32(4), pages 649-669, September.
    2. David E. Altig & Elias Ilin & Alexander Ruder & Ellyn Terry, 2020. "Benefits Cliffs and the Financial Incentives for Career Advancement: A Case Study of the Health Care Services Career Pathway," FRB Atlanta Community and Economic Development Discussion Paper 2020-1, Federal Reserve Bank of Atlanta.
    3. David Altig & Alan J. Auerbach & Laurence J. Kotlikoff & Elias Ilin & Victor Ye, 2020. "The Marginal Net Taxation of Americans’ Labor Supply," NBER Working Papers 27164, National Bureau of Economic Research, Inc.
    4. David Altig & Laurence J. Kotlikoff & Victor Yifan Ye, 2022. "How Much Lifetime Social Security Benefits Are Americans Leaving on the Table?," NBER Chapters, in: Tax Policy and the Economy, Volume 37, pages 135-173, National Bureau of Economic Research, Inc.
    5. Thi, Hoang Ha Nguyen & Weichenrieder, Alfons J., 2021. "C and S corporation banks: Did Trump's tax reform lead to differential effects?," SAFE Working Paper Series 328, Leibniz Institute for Financial Research SAFE.
    6. David Altig & Alan J. Auerbach & Erin Eidschun & Laurence Kotlikoff & Victor Yifan Ye, 2024. "Inflation's Fiscal Impact on American Households," NBER Chapters, in: NBER Macroeconomics Annual 2024, volume 39, National Bureau of Economic Research, Inc.
    7. Siraj G. Bawa & Nam T. Vu, 2020. "International effects of corporate tax cuts on income distribution," Review of International Economics, Wiley Blackwell, vol. 28(5), pages 1164-1190, November.
    8. Julie L. Hotchkiss & Robert E. Moore & Fernando Rios-Avila, 2021. "Impact of the 2017 Tax Cuts and Jobs Act on Labor Supply and Welfare of Married Households," FRB Atlanta Working Paper 2021-18, Federal Reserve Bank of Atlanta.

  4. Patrick C. Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," FRB Atlanta Working Paper 2016-7, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Yu, Mingzhe & Fan, Jiachuan & Wang, Haijun & Wang, Jie, 2023. "US trade policy uncertainty on Chinese agricultural imports and exports: An aggregate and product-level analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 70-83.
    2. Yu Zheng & Raul Santaeulalia, 2016. "The Price of Growth: Consumption Insurance in China 1989-2009," 2016 Meeting Papers 826, Society for Economic Dynamics.
    3. Xiuyun Yang & Muhammad Nouman Shafiq, 2020. "The Impact of Foreign Direct Investment, Capital Formation, Inflation, Money Supply and Trade Openness on Economic Growth of Asian Countries," iRASD Journal of Economics, International Research Alliance for Sustainable Development (iRASD), vol. 2(1), pages 25-34, June.
    4. Qin Zhang & He Ni & Hao Xu, 2023. "Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 719-767, March.
    5. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    6. Shi, Jinchuan & Zhang, Xiaoqian, 2018. "How to explain corporate investment heterogeneity in China's new normal: Structural models with state-owned property rights," China Economic Review, Elsevier, vol. 50(C), pages 1-16.
    7. Yang, Xingquan & Han, Liang & Li, Wanli & Yin, Xingqiang & Tian, Lin, 2017. "Monetary policy, cash holding and corporate investment: Evidence from China," China Economic Review, Elsevier, vol. 46(C), pages 110-122.
    8. Kaiji Chen & Patrick Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and the Macroeconomy: Evidence from China," NBER Working Papers 22650, National Bureau of Economic Research, Inc.
    9. Tao Zha & Kaiji Chen, 2017. "The Asymmetric Transmission of China's Monetary Policy," 2017 Meeting Papers 516, Society for Economic Dynamics.
    10. Yucheng Yang & Yue Pang & Guanhua Huang & Weinan E, 2020. "The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data," Papers 2010.05172, arXiv.org.
    11. Chris Heaton & Natalia Ponomareva & Qin Zhang, 2020. "Forecasting models for the Chinese macroeconomy: the simpler the better?," Empirical Economics, Springer, vol. 58(1), pages 139-167, January.

  5. Kaiji Chen & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2016. "Impacts of Monetary Stimulus on Credit Allocation and Macroeconomy: Evidence from China," FRB Atlanta Working Paper 2016-9, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Tianye Lin & Yangyang Ji & Sen Zhang, 2020. "Real Estate, Interest Rates, and Crowding-out Effects," CEMA Working Papers 613, China Economics and Management Academy, Central University of Finance and Economics.
    2. Hsiao, Cody Yu-Ling & Jin, Tao & Kwok, Simon & Wang, Xi & Zheng, Xin, 2023. "Entrepreneurial risk shocks and financial acceleration asymmetry in a two-country DSGE model," China Economic Review, Elsevier, vol. 81(C).
    3. Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
    4. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    5. Xiaochen Fu, 2021. "Firm Funding and Investment under Bank Credit Control Policy: Evidence from China," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(4), pages 1-5.
    6. Jin, Tao & Kwok, Simon & Zheng, Xin, 2022. "Financial wealth, investment, and confidence in a DSGE model for China," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 114-134.
    7. Min Zhang & Yahong Zhang, 2020. "Monetary Stimulus Policy in China: the Bank Credit Channel," Working Papers 2001, University of Windsor, Department of Economics.
    8. Patrick Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," NBER Working Papers 22402, National Bureau of Economic Research, Inc.
    9. Qiuyi Yang & Youze Lang & Changsheng Xu, 2018. "Is the High Interest Rate Combined with Intense Deleveraging Campaign Desirable? A Collateral Mechanism under Stringent Credit Constraints," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
    10. Makram El-Shagi & Lunan Jiang, 2017. "China Monetary Policy Transmission in China: Dual Shocks with Dual Bond Markets," CFDS Discussion Paper Series 2017/2, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    11. Kaihua Deng & Dun Jia, 2018. "Backtesting Stress Tests: A Guide for M2 Forward Guidance," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 443-471, November.
    12. Zheng Liu & Mark M. Spiegel & Jingyi Zhang, 2020. "Optimal Capital Account Liberalization in China," Working Paper Series 2018-10, Federal Reserve Bank of San Francisco.
    13. Kaiji Chen & Haoyu Gao & Patrick C. Higgins & Daniel F. Waggoner & Tao Zha, 2020. "Monetary Stimulus amid the Infrastructure Investment Spree: Evidence from China's Loan-Level Data," FRB Atlanta Working Paper 2020-16, Federal Reserve Bank of Atlanta.
    14. Chang, Chun & Liu, Zheng & Spiegel, Mark M. & Zhang, Jingyi, 2019. "Reserve requirements and optimal Chinese stabilization policy," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 33-51.
    15. Kaiji Chen & Tao Zha, 2018. "Macroeconomic Effects of China's Financial Policies," NBER Working Papers 25222, National Bureau of Economic Research, Inc.
    16. Cai, Yue, 2021. "Expansionary monetary policy and credit allocation: Evidence from China," China Economic Review, Elsevier, vol. 66(C).
    17. Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.

  6. Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Sebastian Doerr & Leonardo Gambacorta & José María Serena Garralda, 2021. "Big data and machine learning in central banking," BIS Working Papers 930, Bank for International Settlements.
    2. Doll, Jens & Rosenthal, Beatrice & Volkenand, Jonas & Hamella, Sandra, 2017. "Nowcasting des deutschen BIP," Weidener Diskussionspapiere 59, University of Applied Sciences Amberg-Weiden (OTH).
    3. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    4. Aleksandra Riedl & Julia Wörz, 2018. "A simple approach to nowcasting GDP growth in CESEE economies," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/18, pages 56-74.
    5. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    6. Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
    7. 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.
    8. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    9. Glocker, Christian & Kaniovski, Serguei, 2020. "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper 101874, University Library of Munich, Germany.
    10. Rueben Ellul, 2016. "A real-time measure of business conditions in Malta," CBM Working Papers WP/04/2016, Central Bank of Malta.
    11. Kristof Lommers & Ouns El Harzli & Jack Kim, 2021. "Confronting Machine Learning With Financial Research," Papers 2103.00366, arXiv.org, revised Mar 2021.
    12. Ana Beatriz Galvão & Marta Lopresto, 2020. "Real-time Probabilistic Nowcasts of UK Quarterly GDP Growth using a Mixed-Frequency Bottom-up Approach," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-06, Economic Statistics Centre of Excellence (ESCoE).
    13. Tesi Aliaj & Milos Ciganovic & Massimiliano Tancioni, 2023. "Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 464-480, April.
    14. João B. Assunção & Pedro Afonso Fernandes, 2022. "Nowcasting GDP: An Application to Portugal," Forecasting, MDPI, vol. 4(3), pages 1-15, August.
    15. Martina Hengge & Seton Leonard, 2017. "Factor Models for Non-Stationary Series: Estimates of Monthly U.S. GDP," IHEID Working Papers 13-2017, Economics Section, The Graduate Institute of International Studies.
    16. Barış Soybilgen & Ege Yazgan, 2021. "Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 387-417, January.
    17. 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.
    18. Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
    19. Zhang, Qin & Ni, He & Xu, Hao, 2023. "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, vol. 122(C).
    20. Gerhard Fenz & Helmut Stix, 2021. "Monitoring the economy in real time with the weekly OeNB GDP indicator: background, experience and outlook," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20-Q1/, pages 17-40.
    21. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    22. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2017. "GDP nowcasting: application and constraints in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3880-3890, August.
    23. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    24. Мекенбаева Камила // Mekenbayeva Kamila & Karel Musil, 2017. "Система прогнозирования в Национальном Банке Казахстана: наукаст на основа опросов // Forecasting system at the National Bank of Kazakhstan: survey-based nowcasting," Working Papers #2017-1, National Bank of Kazakhstan.

  7. Gabriele Galati & Patrick C. Higgins & Owen F. Humpage & William R. Melick, 2006. "Option prices, exchange market intervention, and the higher moment expectations channel: a user’s guide," Working Papers (Old Series) 0618, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Hutchison, Michael & Sushko, Vladyslav, 2013. "Impact of macro-economic surprises on carry trade activity," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1133-1147.
    2. Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
    3. He Li & Zhixiang Yu & Chuanjie Zhang & Zhuang Zhang, 2017. "Determination of China’s foreign exchange intervention: evidence from the Yuan/Dollar market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(1), pages 62-81, March.
    4. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    5. Michel Beine & Oscar Bernal Diaz & Jean-Yves Gnabo & Christelle Lecourt, 2006. "Intervention policy of the BoJ: a unified approach," DULBEA Working Papers 06-15.RS, ULB -- Universite Libre de Bruxelles.
    6. Rasmus Fatum, 2009. "Official Japanese Intervention in the JPY/USD Exchange Rate Market: Is It Effective, and through Which Channel Does It Work?," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 27(1), pages 75-98, November.
    7. Yushi Yoshida & Jan C. Rülke, 2009. "On-Going versus Completed Interventions and Yen/Dollar Expectations - Evidence from Disaggregated Survey Data," Discussion Papers 35, Kyushu Sangyo University, Faculty of Economics, revised Dec 2009.

Articles

  1. Kaiji Chen & Patrick Higgins & Tao Zha, 2021. "Cyclical Lending Standards: A Structural Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 283-306, October.
    See citations under working paper version above.
  2. Gabriele Galati & Patrick Higgins & Owen Humpage & William Melick, 2007. "Option prices, exchange market intervention, and the higher moment expectations channel: a user's guide," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 225-247.
    See citations under working paper version above.
  3. John B. Carlson & Ben R. Craig & Patrick C. Higgins & William R. Melick, 2006. "FOMC communications and the predictability of near-term policy decisions," Economic Commentary, Federal Reserve Bank of Cleveland, issue Jun.

    Cited by:

    1. Tadle, Raul Cruz, 2022. "FOMC minutes sentiments and their impact on financial markets," Journal of Economics and Business, Elsevier, vol. 118(C).
    2. James D. Hamilton, 2009. "Daily Changes in Fed Funds Futures Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 567-582, June.
    3. M. Middeldorp, 2011. "Central Bank Transparency, the Accuracy of Professional Forecasts, and Interest Rate Volatility," Working Papers 11-12, Utrecht School of Economics.
    4. Dräger, L. & Lamla, M.J. & Pfajfar, D., 2013. "Are Consumer Expectations Theory-Consistent? The Role of Macroeconomic Determinants and Central Bank Communication," Discussion Paper 2013-063, Tilburg University, Center for Economic Research.
    5. James D. Hamilton, 2009. "Daily Changes in Fed Funds Futures Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 567-582, June.
    6. M.H. Middeldorp, 2011. "FOMC Communication Policy and the Accuracy of Fed Funds Futures," Working Papers 11-13, Utrecht School of Economics.
    7. Lena Dräger & Michael Lamla & Damjan Pfajfar, 2015. "Are Survey Expectations Theory-Consistent? The Role of Central Bank Communication and News," Finance and Economics Discussion Series 2015-35, Board of Governors of the Federal Reserve System (U.S.).
    8. Bennani, Hamza, 2014. "Does one word fit all? The asymmetric effects of central banks' communication policy," MPRA Paper 57150, University Library of Munich, Germany.
    9. Clemens Kool & Menno Middeldorp & Stephanie Rosenkranz, 2011. "Central Bank Transparency and the Crowding Out of Private Information in Financial Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 765-774, June.
    10. Nicholas Taylor, 2010. "The Determinants of Future U.S. Monetary Policy: High-Frequency Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 399-420, March.
    11. Yasuo Nishiyama, 2017. "Open market operations and associated movements of the federal funds rate during the week prior to target changes," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 806-828, October.
    12. Michael Chiu, 2012. "Derivatives markets, products and participants: an overview," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the workshop "Data requirements for monitoring derivative transactions", organised by the People's Bank of China and the Irving Fisher , volume 35, pages 3-11, Bank for International Settlements.
    13. Alissa G. Karl, 2013. "‘Bank Talk,’ Performativity And Financial Markets," Journal of Cultural Economy, Taylor & Francis Journals, vol. 6(1), pages 63-77, February.
    14. Dunbar, Kwamie & Amin, Abu S., 2015. "The nature and impact of the market forecasting errors in the Federal funds futures market," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 174-192.
    15. Bennani, Hamza, 2014. "The art of central banks' forward guidance at the zero lower bound," MPRA Paper 57043, University Library of Munich, Germany.

  4. Patrick C. Higgins & Owen F. Humpage, 2005. "Nondeliverable forwards: can we tell where the renminbi is headed?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Sep.

    Cited by:

    1. Harendra Kumar Behera, 2011. "Onshore and offshore market for Indian rupee: recent evidence on volatility and shock spillover," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 4(1), pages 43-55.
    2. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    3. Jia, Fei & Shen, Yao & Ren, Junfan & Xu, Xiangyun, 2021. "The impact of offshore exchange rate expectations on onshore exchange rates: The case of Chinese RMB," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    4. Sangita Misra, 2007. "Non Deliverable Foreign Exchange Forward Market: An Overview," Working Papers id:1259, eSocialSciences.
    5. Yanping Zhao & Zaghum Umar & Xuan Vinh Vo, 2021. "Return and volatility connectedness of Chinese onshore, offshore, and forward exchange rate," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1843-1860, November.

  5. Patrick C. Higgins & Owen F. Humpage, 2005. "The Chinese renminbi: what’s real, what’s not," Economic Commentary, Federal Reserve Bank of Cleveland, issue Aug.

    Cited by:

    1. David Altig, 2005. "Whose afraid of a renminbi float?," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 6(03), pages 22-28, October.
    2. Marvin Goodfriend, 2007. "Monetary Policy in East Asia: Common Concerns," IMES Discussion Paper Series 07-E-18, Institute for Monetary and Economic Studies, Bank of Japan.

  6. Joseph G. Haubrich & Patrick C. Higgins & Janet Miller, 2004. "Oil prices: backward to the future?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Dec.

    Cited by:

    1. Jozef Barunik & Barbora Malinska, 2015. "Forecasting the term structure of crude oil futures prices with neural networks," Papers 1504.04819, arXiv.org.
    2. Amstad, Marlene & Hildebrand, Philipp, 2005. "The oil price and monetary policy – a new paradigm," MPRA Paper 15562, University Library of Munich, Germany.
    3. de Almeida, Pedro & Silva, Pedro D., 2009. "The peak of oil production--Timings and market recognition," Energy Policy, Elsevier, vol. 37(4), pages 1267-1276, April.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 13 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (11) 2014-11-22 2016-07-16 2016-07-23 2016-09-25 2016-10-02 2019-04-29 2019-05-06 2020-06-15 2020-07-13 2020-09-21 2021-02-01. Author is listed
  2. NEP-CNA: China (7) 2016-07-16 2016-07-23 2016-09-25 2016-10-02 2020-09-21 2021-02-01 2024-03-04. Author is listed
  3. NEP-TRA: Transition Economics (6) 2016-07-16 2016-07-23 2016-09-25 2016-10-02 2020-09-21 2021-02-01. Author is listed
  4. NEP-FDG: Financial Development and Growth (3) 2016-10-02 2020-06-15 2020-07-13
  5. NEP-FOR: Forecasting (3) 2014-11-22 2016-07-16 2016-07-23
  6. NEP-MON: Monetary Economics (3) 2016-09-25 2016-10-02 2020-09-21
  7. NEP-BAN: Banking (2) 2020-06-15 2020-07-13
  8. NEP-POL: Positive Political Economics (2) 2019-04-29 2019-05-06
  9. NEP-CBA: Central Banking (1) 2007-01-02
  10. NEP-GER: German Papers (1) 2016-07-16
  11. NEP-IFN: International Finance (1) 2007-01-02
  12. NEP-PBE: Public Economics (1) 2019-04-29
  13. NEP-PUB: Public Finance (1) 2019-04-29

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