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Fang Xu

Personal Details

First Name:Fang
Middle Name:
Last Name:Xu
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RePEc Short-ID:pxu43
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http://www.mwpweb.eu/FangXu

Affiliation

Department of Economics
University of Reading

Reading, United Kingdom
http://www.rdg.ac.uk/Economics/

: +44-118-9875123
+44-118-9750236
PO Box 218, Whiteknights, Reading, RG6 6AA
RePEc:edi:derdguk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Helmut Luetkepohl & Fang Xu, 2009. "The Role of the Log Transformation in Forecasting Economic Variables," CESifo Working Paper Series 2591, CESifo Group Munich.
  2. Herwartz, Helmut & Xu, Fang, 2007. "A new approach to bootstrap inference in functional coefficient models," Economics Working Papers 2007-15, Christian-Albrechts-University of Kiel, Department of Economics.
  3. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.
  4. Herwartz, Helmut & Xu, Fang, 2006. "Reviewing the sustainability/stationarity of current account imbalances with tests for bounded integration," Economics Working Papers 2006-07, Christian-Albrechts-University of Kiel, Department of Economics.
  5. Herwartz, Helmut & Xu, Fang, 2006. "Panel data model comparison for empirical saving-investment relations," Economics Working Papers 2006-06, Christian-Albrechts-University of Kiel, Department of Economics.
  6. Xu, Fang, 2005. "Does Consumption-Wealth Ratio Signal Stock Returns? VECM Results for Germany," Economics Working Papers 2005-02, Christian-Albrechts-University of Kiel, Department of Economics.
  7. Fang Xu & Helmut Herwartz, "undated". "What determines the relation between domestic saving and investment? - a new look at the Feldstein-Horioka puzzle," EcoMod2006 272100105, EcoMod.

Articles

  1. Cavaliere, Giuseppe & Xu, Fang, 2014. "Testing for unit roots in bounded time series," Journal of Econometrics, Elsevier, vol. 178(P2), pages 259-272.
  2. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
  3. Luetkepohl Helmut & Xu Fang, 2011. "Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-23, February.
  4. Herwartz, H. & Xu, F., 2010. "A functional coefficient model view of the Feldstein-Horioka puzzle," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 37-54, February.
  5. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
  6. Herwartz, H. & Xu, F., 2009. "A new approach to bootstrap inference in functional coefficient models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2155-2167, April.
  7. Helmut Herwartz & Fang Xu, 2008. "REVIEWING THE SUSTAINABILITY/STATIONARITY OF CURRENT ACCOUNT IMBALANCES WITH TESTS FOR BOUNDED INTEGRATION," Manchester School, University of Manchester, vol. 76(3), pages 267-278, June.

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. Helmut Luetkepohl & Fang Xu, 2009. "The Role of the Log Transformation in Forecasting Economic Variables," CESifo Working Paper Series 2591, CESifo Group Munich.

    Mentioned in:

    1. Log Transformations & Forecasting
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-05-23 00:20:00

Working papers

  1. Helmut Luetkepohl & Fang Xu, 2009. "The Role of the Log Transformation in Forecasting Economic Variables," CESifo Working Paper Series 2591, CESifo Group Munich.

    Cited by:

    1. Gunnar Bårdsen & Helmut Lütkepohl, 2009. "Forecasting Levels of log Variables in Vector Autoregressions," Working Paper Series 10409, Department of Economics, Norwegian University of Science and Technology.
    2. Lütkepohl, Helmut & Proietti, Tommaso, 2011. "Does the Box-Cox transformation help in forecasting macroeconomic time series?," Working Papers 08/2011, University of Sydney Business School, Discipline of Business Analytics.
    3. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    4. Ji, In Bae & Chung, Chanjin, 2012. "Causality Between Captive Supplies and Cash Market Prices in the U.S. Cattle Procurement Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), December.
    5. Chatziantoniou, Ioannis & Degiannakis, Stavros & Eeckels, Bruno & Filis, George, 2015. "Forecasting Tourist Arrivals Using Origin Country Macroeconomics," MPRA Paper 68062, University Library of Munich, Germany.
    6. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
    7. Mayr, Johannes & Ulbricht, Dirk, 2015. "Log versus level in VAR forecasting: 42 million empirical answers—Expect the unexpected," Economics Letters, Elsevier, vol. 126(C), pages 40-42.
    8. Tuhkuri, Joonas, 2016. "Forecasting Unemployment with Google Searches," ETLA Working Papers 35, The Research Institute of the Finnish Economy.
    9. Nick Taylor, 2016. "Realised Variance Forecasting Under Box-Cox Transformations," Bristol Accounting and Finance Discussion Papers 16/4, School of Economics, Finance, and Management, University of Bristol, UK.
    10. Rossen, Anja, 2011. "On the predictive content of nonlinear transformations of lagged autoregression residuals and time series observations," HWWI Research Papers 113, Hamburg Institute of International Economics (HWWI).
    11. Roxana Halbleib & Valeri Voev, 2011. "Forecasting Covariance Matrices: A Mixed Frequency Approach," CREATES Research Papers 2011-03, Department of Economics and Business Economics, Aarhus University.
    12. Tuhkuri, Joonas, 2016. "ETLAnow: A Model for Forecasting with Big Data – Forecasting Unemployment with Google Searches in Europe," ETLA Reports 54, The Research Institute of the Finnish Economy.
    13. Donal Smith, 2016. "The International Impact of Financial Shocks: A Global VAR and Connectedness Measures Approach," Discussion Papers 16/07, Department of Economics, University of York.
    14. Taylor, Nick, 2017. "Realised variance forecasting under Box-Cox transformations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 770-785.
    15. Helmut Luetkepohl, 2009. "Forecasting Aggregated Time Series Variables: A Survey," Economics Working Papers ECO2009/17, European University Institute.
    16. Grosche, Stephanie & Heckelei, Thomas, 2014. "Directional Volatility Spillovers between Agricultural, Crude Oil, Real Estate and other Financial Markets," Discussion Papers 166079, University of Bonn, Institute for Food and Resource Economics.
    17. Radovan Parrák, 2013. "The Economic Valuation of Variance Forecasts: An Artificial Option Market Approach," Working Papers IES 2013/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2013.
    18. Roxana Halbleib & Valeri Voev, 2016. "Forecasting Covariance Matrices: A Mixed Approach," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 14(2), pages 383-417.
    19. Damen, Sven & Vastmans, Frank & Buyst, Erik, 2016. "The effect of mortgage interest deduction and mortgage characteristics on house prices," Journal of Housing Economics, Elsevier, vol. 34(C), pages 15-29.

  2. Herwartz, Helmut & Xu, Fang, 2007. "A new approach to bootstrap inference in functional coefficient models," Economics Working Papers 2007-15, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Herwartz, Helmut & Walle, Yabibal M., 2013. "State dependence in the finance-growth nexus: A functional coefficient approach," Center for European, Governance and Economic Development Research Discussion Papers 156, University of Goettingen, Department of Economics.
    3. Herwartz, Helmut & Roestel, Jan, 2017. "Mundell’s trilemma: Policy trade-offs within the middle ground," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 1-13.
    4. Herwartz, Helmut & Walle, Yabibal M., 2014. "Openness and the finance-growth nexus," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 235-247.
    5. Ahrens, Steffen & Hartmann, Matthias, 2014. "State-dependence vs. timedependence: An empirical multi-country investigation of price sluggishness," Kiel Working Papers 1907, Kiel Institute for the World Economy (IfW).
    6. Helmut Herwartz & Israel Waichman, 2010. "A comparison of bootstrap and Monte-Carlo testing approaches to value-at-risk diagnosis," Computational Statistics, Springer, vol. 25(4), pages 725-732, December.

  3. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Ketenci, Natalya, 2013. "The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach," Research in Economics, Elsevier, vol. 67(1), pages 76-87.
    2. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    3. Ma, Wei & Li, Haiqi, 2016. "Time-varying saving–investment relationship and the Feldstein–Horioka puzzle," Economic Modelling, Elsevier, vol. 53(C), pages 166-178.
    4. Gan, Pei-Tha, 2014. "The precise form of financial integration: Empirical evidence for selected Asian countries," Economic Modelling, Elsevier, vol. 42(C), pages 208-219.
    5. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2013. "Modelling the world economy at the 2050 horizon," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(4), pages 617-654, October.
    6. Herwartz, Helmut & Roestel, Jan, 2017. "Mundell’s trilemma: Policy trade-offs within the middle ground," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 1-13.
    7. Andrew Phiri, 2017. "The Feldstein-Horioka puzzle and the global financial crisis: Evidence from South Africa using asymmetric cointegation analysis," Working Papers 1701, Department of Economics, Nelson Mandela University, revised May 2017.
    8. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2012. "The Great Shift : Macroeconomic projections For the World Economy at the 2050 Horizon," PSE - G-MOND WORKING PAPERS hal-00962464, HAL.
    9. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2010. "The World Economy in 2050: a Tentative Picture," Working Papers 2010-27, CEPII research center.
    10. But, Boris & Morley, Bruce, 2017. "The Feldstein-Horioka puzzle and capital mobility: The role of the recent financial crisis," Economic Systems, Elsevier, vol. 41(1), pages 139-150.
    11. Chu, Kam Hon, 2012. "The Feldstein-Horioka Puzzle and Spurious Ratio Correlation," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 292-309.
    12. Ketenci, Natalya, 2010. "The Feldstein –Horioka Puzzle and structural breaks: evidence from EU members," MPRA Paper 26010, University Library of Munich, Germany.
    13. Hwang, Sun Ho & Kim, Yun Jung, 2018. "Capital mobility in OECD countries: A multi-level factor approach to saving–investment correlations," Economic Modelling, Elsevier, vol. 69(C), pages 150-159.
    14. Phiri, Andrew, 2017. "The Feldstein-Horioka puzzle and the global recession period: Evidence from South Africa using asymmetric cointegration analysis," MPRA Paper 79096, University Library of Munich, Germany.
    15. Ketenci, Natalya, 2014. "The Feldstein –Horioka Puzzle and structural breaks: Evidence from the largest countries of Asia," MPRA Paper 54660, University Library of Munich, Germany.

  4. Herwartz, Helmut & Xu, Fang, 2006. "Reviewing the sustainability/stationarity of current account imbalances with tests for bounded integration," Economics Working Papers 2006-07, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    2. Niklas Potrafke & Markus Reischmann, 2014. "Fiscal Transfers and Fiscal Sustainability," CESifo Working Paper Series 4716, CESifo Group Munich.

  5. Herwartz, Helmut & Xu, Fang, 2006. "Panel data model comparison for empirical saving-investment relations," Economics Working Papers 2006-06, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2009. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," MPRA Paper 15312, University Library of Munich, Germany.
    2. Christoph Fischer & Oliver Hossfeld & Karin Radeck, 2018. "On the Suitability of Alternative Competitiveness Indicators for Explaining Real Exports of Advanced Economies," Open Economies Review, Springer, vol. 29(1), pages 119-139, February.
    3. Saten Kumar & B. Bhaskara Rao, 2011. "A Time‐series Approach to the Feldstein–Horioka Puzzle with Panel Data from the OECD Countries," The World Economy, Wiley Blackwell, vol. 34(3), pages 473-485, March.
    4. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2012. "The Great Shift : Macroeconomic projections For the World Economy at the 2050 Horizon," PSE - G-MOND WORKING PAPERS hal-00962464, HAL.
    5. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2010. "The World Economy in 2050: a Tentative Picture," Working Papers 2010-27, CEPII research center.
    6. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    7. Ha van Dung, 2014. "Short-term precaution, insurance and saving mechanisms in rural Vietnam," Working Papers CIE 82, Paderborn University, CIE Center for International Economics.
    8. Lionel Fontagné & Jean Fouré, 2017. "Value Added in Motion: Modelling World Trade Patterns at the 2035 Horizon," Development Working Papers 425, Centro Studi Luca d'Agliano, University of Milano, revised 24 Feb 2017.
    9. Jean Fouré & Agnès Bénassy-Quéré & Lionel Fontagné, 2012. "The Great Shift : Macroeconomic projections For the World Economy at the 2050 Horizon," Working Papers hal-00962464, HAL.
    10. Thomas Gries & Ha van Dung, 2014. "Household Savings and Productive Capital Formation in Rural Vietnam: Insurance vs. Social Network," Working Papers CIE 81, Paderborn University, CIE Center for International Economics.

  6. Xu, Fang, 2005. "Does Consumption-Wealth Ratio Signal Stock Returns? VECM Results for Germany," Economics Working Papers 2005-02, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

Articles

  1. Cavaliere, Giuseppe & Xu, Fang, 2014. "Testing for unit roots in bounded time series," Journal of Econometrics, Elsevier, vol. 178(P2), pages 259-272.

    Cited by:

    1. Carrion-i-Silvestre, Josep Lluís & Gadea, María Dolores, 2013. "GLS-based unit root tests for bounded processes," Economics Letters, Elsevier, vol. 120(2), pages 184-187.
    2. Niklas Potrafke & Markus Reischmann, 2012. "Fiscal Equalization Schemes and Fiscal Sustainability," CESifo Working Paper Series 3948, CESifo Group Munich.
    3. Claudiu T Albulescu & Cornel Oros & Aviral K Tiwari, 2017. "Is there any convergence in health expenditures across EU countries?," Economics Bulletin, AccessEcon, vol. 37(3), pages 2095-2101.
    4. Mathias Klein, 2015. "Inequality and household debt: a panel cointegration analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 391-412, May.
    5. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    6. Margherita Gerolimetto & Stefano Magrini, 2017. "On the power of the simulation-based ADF test in bounded time series," Economics Bulletin, AccessEcon, vol. 37(1), pages 539-552.
    7. Ott, Herve, 2012. "Which factors drive which volatility in the grain sector?," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122486, European Association of Agricultural Economists.
    8. Rengel, Malte & Herwartz, Helmut & Xu, Fang, 2013. "Persistence in the price-to-dividend ratio and its macroeconomic fundamentals," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79860, Verein für Socialpolitik / German Economic Association.
    9. Bakas, Dimitrios & Papapetrou, Evangelia, 2014. "Unemployment in Greece: Evidence from Greek regions using panel unit root tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 551-562.
    10. Niklas Potrafke, 2015. "The Evidence on Globalisation," The World Economy, Wiley Blackwell, vol. 38(3), pages 509-552, March.
    11. Josep Lluís Carrion-I-Silvestre & María Dolores Gadea, 2016. "Bounds, Breaks and Unit Root Tests," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(2), pages 165-181, March.
    12. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Renewable-to-total electricity consumption ratio: Estimating the permanent or transitory fluctuations based on flexible Fourier stationarity and unit root tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1409-1427.
    13. Krenz, Astrid, 2016. "Do political institutions influence international trade? Measurement of institutions and the Long-Run effects," Center for European, Governance and Economic Development Research Discussion Papers 276, University of Goettingen, Department of Economics.
    14. Dimitrios Bakas & Theodore Panagiotidis & Gianluigi Pelloni, 2017. "Regional And Sectoral Evidence Of The Macroeconomic Effects Of Labor Reallocation: A Panel Data Analysis," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 501-526, January.
    15. Niklas Potrafke & Markus Reischmann, 2014. "Fiscal Transfers and Fiscal Sustainability," CESifo Working Paper Series 4716, CESifo Group Munich.
    16. Casalin, Fabrizio, 2013. "Testing the expectations hypothesis of the term structure with permanent-transitory component models," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3192-3203.
    17. Steven Salaga & Rodney Fort, 2017. "Structural Change in Competitive Balance in Big-Time College Football," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 50(1), pages 27-41, February.
    18. Hertrich, Markus, 2015. "Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets," MPRA Paper 67837, University Library of Munich, Germany.
    19. Maurizio Bovi, 2014. "Shocks and the Expectations Formation Process. A Tale of Two Expectations," Natural Field Experiments 00390, The Field Experiments Website.
    20. Salvatore Morelli, 2014. "Banking Crises in the US: the Response of Top Income Shares in a Historical Perspective," CSEF Working Papers 359, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    21. Albanese, Marina & Bonasia, Mariangela & Napolitano, Oreste & Spagnolo, Nicola, 2015. "Happiness, taxes and social provision: A note," Economics Letters, Elsevier, vol. 135(C), pages 100-103.

  2. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    See citations under working paper version above.
  3. Luetkepohl Helmut & Xu Fang, 2011. "Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-23, February.

    Cited by:

    1. Lütkepohl, Helmut & Proietti, Tommaso, 2011. "Does the Box-Cox transformation help in forecasting macroeconomic time series?," Working Papers 08/2011, University of Sydney Business School, Discipline of Business Analytics.
    2. Mayr, Johannes & Ulbricht, Dirk, 2015. "Log versus level in VAR forecasting: 42 million empirical answers—Expect the unexpected," Economics Letters, Elsevier, vol. 126(C), pages 40-42.
    3. Santiago Cajiao Raigosa & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Pronósticos para una economía menos volátil: El caso colombiano," Borradores de Economia 821, Banco de la Republica de Colombia.

  4. Herwartz, H. & Xu, F., 2010. "A functional coefficient model view of the Feldstein-Horioka puzzle," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 37-54, February.
    See citations under working paper version above.
  5. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    See citations under working paper version above.
  6. Herwartz, H. & Xu, F., 2009. "A new approach to bootstrap inference in functional coefficient models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2155-2167, April.
    See citations under working paper version above.
  7. Helmut Herwartz & Fang Xu, 2008. "REVIEWING THE SUSTAINABILITY/STATIONARITY OF CURRENT ACCOUNT IMBALANCES WITH TESTS FOR BOUNDED INTEGRATION," Manchester School, University of Manchester, vol. 76(3), pages 267-278, June.

    Cited by:

    1. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Niklas Potrafke & Markus Reischmann, 2012. "Fiscal Equalization Schemes and Fiscal Sustainability," CESifo Working Paper Series 3948, CESifo Group Munich.
    3. Beckmann, Joscha & Czudaj, Robert, 2016. "Effective exchange rates, current accounts and global imbalances," Ruhr Economic Papers 610, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Josep Lluís Carrion-i-Silvestre & María Dolores Gadea & Antonio Montañés, 2017. "“Unbiased estimation of autoregressive models forbounded stochastic processes," AQR Working Papers 201710, University of Barcelona, Regional Quantitative Analysis Group, revised Dec 2017.

More information

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Statistics

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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 6 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 (4) 2006-08-05 2006-08-05 2007-07-13 2014-10-17
  2. NEP-ECM: Econometrics (1) 2007-07-13
  3. NEP-ETS: Econometric Time Series (1) 2006-08-05
  4. NEP-FIN: Finance (1) 2006-08-05
  5. NEP-FMK: Financial Markets (1) 2006-08-05

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