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Jon Vilasuso

(deceased)

Personal Details

This person is deceased (Date: 27 Apr 2002)
First Name:Jon
Middle Name:R.
Last Name:Vilasuso
Suffix:
RePEc Short-ID:pvi205
Terminal Degree: Department of Economics; University of Connecticut (from RePEc Genealogy)

Research output

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Articles

  1. McPherson, Matthew Q. & Palardy, Joseph & Vilasuso, Jon, 2005. "Are international stock returns predictable?: An application of spectral shape tests corrected for heteroskedasticity," Journal of Economics and Business, Elsevier, vol. 57(2), pages 103-118.
  2. Vilasuso, Jon, 2002. "Forecasting exchange rate volatility," Economics Letters, Elsevier, vol. 76(1), pages 59-64, June.
  3. Vilasuso, Jon, 2001. "Causality tests and conditional heteroskedasticity: : Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 101(1), pages 25-35, March.
  4. Vilasuso, Jon & Minkler, Alanson, 2001. "Agency costs, asset specificity, and the capital structure of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 55-69, January.
  5. Jon Vilasuso & David Katz, 2000. "Estimates of the likelihood of extreme returns in international stock markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(1), pages 119-130.
  6. Jon Vilasuso, 2000. "Trend Breaks in Money Growth and the Money‐output Relation in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 53-60, February.
  7. Jon Vilasuso & Mark R. Frascatore, 2000. "Public policy and R&D when research joint ventures are costly," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 818-839, August.
  8. Atesoglu, H Sonmez & Vilasuso, Jon, 1999. "A Band Spectral Analysis of Exports and Economic Growth in the United States," Review of International Economics, Wiley Blackwell, vol. 7(1), pages 140-152, February.
  9. Vilasuso, Jon, 1999. "The Liquidity Effect and the Operating Procedure of the Federal Reserve," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 443-461, July.
  10. Stephen Cunningham & Jon Vilasuso, 1999. "The Problem With Interim Employment," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 155(2), pages 321-321, June.
  11. Cunningham, Steven R. & Tang, Hong & Vilasuso, Jon R., 1997. "A Time Series Analysis of the Relationship between Inflation Uncertainty and Unemployment," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 731-751, October.
  12. Jon Vilasuso, 1997. "The relationship between cash flow and investment in the United States at business cycle frequencies," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1283-1293.
  13. Cunningham, Steven R. & Vilasuso, Jon R., 1997. "Time Aggregation and the Money-Real GDP Relationship," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 675-695, October.
  14. Jon Vilasuso, 1996. "Changes in the duration of economic expansions and contractions in the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 3(12), pages 803-806.
  15. Vilasuso Jon & Cunningham Steve, 1996. "Tests for Nonlinearity in EMS Exchange Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-16, October.
  16. S. Cunningham & J. Vilasuso, 1995. "Time aggregation and causality tests: results from a monte carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 403-405.
  17. Steven R. Cunningham & Jon Vilasuso, 1994. "Is Keynesian Demand Management Policy Still Viable?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 17(2), pages 187-210, December.
  18. Cunningham, Steven R. & Vilasuso, Jon, 1994. "Comparing U.S. GNP volatility across exchange rate regimes: An application of spahe cracking," Journal of Macroeconomics, Elsevier, vol. 16(3), pages 445-459.

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.

Articles

  1. McPherson, Matthew Q. & Palardy, Joseph & Vilasuso, Jon, 2005. "Are international stock returns predictable?: An application of spectral shape tests corrected for heteroskedasticity," Journal of Economics and Business, Elsevier, vol. 57(2), pages 103-118.

    Cited by:

    1. Kim, Sei-Wan & Mollick, André V. & Nam, Kiseok, 2008. "Common nonlinearities in long-horizon stock returns: Evidence from the G-7 stock markets," Global Finance Journal, Elsevier, vol. 19(1), pages 19-31.

  2. Vilasuso, Jon, 2002. "Forecasting exchange rate volatility," Economics Letters, Elsevier, vol. 76(1), pages 59-64, June.

    Cited by:

    1. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    2. Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating volatility forecasts in option pricing in the context of a simulated options market," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
    3. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Bentes, Sónia R., 2021. "How COVID-19 has affected stock market persistence? Evidence from the G7’s," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    5. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Relative forecasting performance of volatility models: Monte Carlo evidence," Kiel Working Papers 1582, Kiel Institute for the World Economy (IfW Kiel).
    6. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value‐at‐Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long‐Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1‐2), pages 1-19, March.
    7. Degiannakis, Stavros & Xekalaki, Evdokia, 2007. "Assessing the Performance of a Prediction Error Criterion Model Selection Algorithm in the Context of ARCH Models," MPRA Paper 96324, University Library of Munich, Germany.
    8. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    9. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Matei, Marius, 2010. "Risk analysis in the evaluation of the international investment opportunities. Advances in modelling and forecasting volatility for risk assessment purposes," Working Papers of Institute for Economic Forecasting 100201, Institute for Economic Forecasting.
    11. Gabriel Rodríguez & Junior A. Ojeda Cunya & José Carlos Gonzáles Tanaka, 2019. "An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(2), pages 107-123, June.
    12. Lux, Thomas, 2004. "The Markov-switching multi-fractal model of asset returns: GMM estimation and linear forecasting of volatility," Economics Working Papers 2004-11, Christian-Albrechts-University of Kiel, Department of Economics.
    13. Holger Fink & Andreas Fuest & Henry Port, 2018. "The Impact of Sovereign Yield Curve Differentials on Value-at-Risk Forecasts for Foreign Exchange Rates," Risks, MDPI, vol. 6(3), pages 1-19, August.
    14. Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
    15. González-Pla, Francisco & Lovreta, Lidija, 2019. "Persistence in firm’s asset and equity volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    16. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    17. Trino-Manuel Ñíguez, 2008. "Volatility and VaR forecasting in the Madrid Stock Exchange," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 169-196, September.
    18. Degiannakis, Stavros, 2004. "Volatility Forecasting: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model," MPRA Paper 96330, University Library of Munich, Germany.
    19. Ercan Balaban & Asli Bayar & Robert Faff, 2006. "Forecasting stock market volatility: Further international evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 12(2), pages 171-188.
    20. 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.
    21. So, Mike K.P. & Yu, Philip L.H., 2006. "Empirical analysis of GARCH models in value at risk estimation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 180-197, April.
    22. Haruna, Issahaku & Abdulai, Hamdeeya & Kriesie, Maryiam & Harvey, Simon K., 2015. "Exchange rate forecasting in the West African Monetary Zone: a comparison of forecast performance of time series models," MPRA Paper 97009, University Library of Munich, Germany, revised 26 Jul 2015.
    23. Georgios Chortareas & John Nankervis & Ying Jiang, 2007. "Forecasting Exchange Rate Volatility with High Frequency Data: Is the Euro Different?," Money Macro and Finance (MMF) Research Group Conference 2006 79, Money Macro and Finance Research Group.
    24. Trino-Manuel Ñíguez, 2003. "Volatility And Var Forecasting For The Ibex-35 Stock-Return Index Using Figarch-Type Processes And Different Evaluation Criteria," Working Papers. Serie AD 2003-33, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    25. Rachna Mahalwala, 2022. "Analysing exchange rate volatility in India using GARCH family models," SN Business & Economics, Springer, vol. 2(9), pages 1-16, September.
    26. Grossmann, Axel & Orlov, Alexei G., 2012. "Exchange rate misalignments in frequency domain," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 185-199.
    27. Wang, Xinyu & Qi, Zikang & Huang, Jianglu, 2023. "How do monetary shock, financial crisis, and quotation reform affect the long memory of exchange rate volatility? Evidence from major currencies," Economic Modelling, Elsevier, vol. 120(C).
    28. Degiannakis, Stavros, 2004. "Forecasting Realized Intra-day Volatility and Value at Risk: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model," MPRA Paper 80488, University Library of Munich, Germany.
    29. Cioroianu, Iulia & Corbet, Shaen & Larkin, Charles, 2021. "Guilt through association: Reputational contagion and the Boeing 737-MAX disasters," Economics Letters, Elsevier, vol. 198(C).
    30. Chortareas, Georgios & Jiang, Ying & Nankervis, John. C., 2011. "Forecasting exchange rate volatility using high-frequency data: Is the euro different?," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1089-1107, October.
    31. Richard D. F. Harris & Anh T. H. Nguyen, 2017. "Dynamic factor long memory volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(8), pages 1205-1221, August.
    32. Grossmann, Axel & Orlov, Alexei G., 2022. "Exchange rate misalignments, capital flows and volatility," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    33. Bucevska Vesna, 2013. "An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange," Business Systems Research, Sciendo, vol. 4(1), pages 49-64, March.
    34. Bentes, Sonia R., 2015. "Forecasting volatility in gold returns under the GARCH, IGARCH and FIGARCH frameworks: New evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 355-364.
    35. Mohammad Naim Azimi & Seyed Farhad Shahidzada, 2019. "A Correcting Note on Forecasting Conditional Variance Using ARIMA vs. GARCH Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(5), pages 145-145, May.
    36. Ibrahim A. ONOUR & Bruno S. SERGI, 2011. "Modeling and forecasting volatility in global food commodity prices," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(3), pages 132-139.
    37. Balaban, Ercan, 2004. "Comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate," Economics Letters, Elsevier, vol. 83(1), pages 99-105, April.
    38. Antonakakis, Nikolaos & Darby, Julia, 2012. "Forecasting Volatility in Developing Countries' Nominal Exchange Returns," MPRA Paper 40875, University Library of Munich, Germany.
    39. Bentes, Sonia R., 2016. "Long memory volatility of gold price returns: How strong is the evidence from distinct economic cycles?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 149-160.
    40. Luis Alberiko & OlaOluwa S. Yaya & Olarenwaju I. Shittu, 2015. "Fractional integration and asymmetric volatility in european, asian and american bull and bear markets. Applications to high frequency stock data," NCID Working Papers 07/2015, Navarra Center for International Development, University of Navarra.
    41. Dorien Herremans & Kah Wee Low, 2022. "Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models," Papers 2211.08281, arXiv.org.
    42. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    43. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    44. Bentes, Sónia R., 2014. "Measuring persistence in stock market volatility using the FIGARCH approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 190-197.
    45. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
    46. Alan E. H. Speight & David G. McMillan, 2004. "Daily volatility forecasts: reassessing the performance of GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 449-460.

  3. Vilasuso, Jon, 2001. "Causality tests and conditional heteroskedasticity: : Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 101(1), pages 25-35, March.

    Cited by:

    1. Pavlidis, Efthymios G. & Paya, Ivan & Peel, David A., 2015. "Testing for linear and nonlinear Granger causality in the real exchange rate–consumption relation," Economics Letters, Elsevier, vol. 132(C), pages 13-17.
    2. Karanasos, M. & Kartsaklas, A., 2009. "Dual long-memory, structural breaks and the link between turnover and the range-based volatility," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 838-851, December.
    3. Gurgul, Henryk & Lach, Łukasz, 2011. "The Nexus between Improvements in Economic Freedom and Growth: Evidence from CEE Countries in Transition," MPRA Paper 52260, University Library of Munich, Germany.
    4. Fountas, Stilianos & Karanasos, Menelaos, 2007. "Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 229-250, March.
    5. S. Bhaumik & M. Karanasos & A. Kartsaklas, 2008. "Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market," William Davidson Institute Working Papers Series wp935, William Davidson Institute at the University of Michigan.
    6. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti & Aris Kartsaklas, 2021. "Investors' trading behaviour and stock market volatility during crisis periods: A dual long‐memory model for the Korean Stock Exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4441-4461, July.
    7. Jorge Hermann & Rómulo Chumacero, 2005. "No Estaba Muerta, ...: La Teoría Cuantitativa y la Relación entre Dinero e Inflación," Working Papers Central Bank of Chile 324, Central Bank of Chile.
    8. J. Kim & A. Kartsaklas & M. Karanasos, 2005. "The volume–volatility relationship and the opening of the Korean stock market to foreign investors after the financial turmoil in 1997," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(3), pages 245-271, September.
    9. Ning Zeng, 2015. "Monetary Stability and Stock Returns: A Bivariate Generalized Autoregressive Conditional Heteroscedasticity Modelling Study," Business and Economic Research, Macrothink Institute, vol. 5(2), pages 1-22, December.
    10. Eirini Syngelaki, 2010. "Linkages between Excess Currency and Stock Market Returns:Granger Causality in Mean and Variance," Economics Department Working Paper Series n209-10.pdf, Department of Economics, National University of Ireland - Maynooth.
    11. Pavlidis Efthymios G. & Paya Ivan & Peel David A., 2013. "Nonlinear causality tests and multivariate conditional heteroskedasticity: a simulation study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 297-312, May.
    12. Bhaumik, S. & Karanasos, M. & Kartsaklas, A., 2016. "The informative role of trading volume in an expanding spot and futures market," Journal of Multinational Financial Management, Elsevier, vol. 35(C), pages 24-40.

  4. Vilasuso, Jon & Minkler, Alanson, 2001. "Agency costs, asset specificity, and the capital structure of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 55-69, January.

    Cited by:

    1. Kim, Hyesung & Heshmati, Almas & Aoun, Dany, 2006. "Dynamics of Capital Structure: The Case of Korean Listed Manufacturing Companies," Ratio Working Papers 93, The Ratio Institute.
    2. Giorgio Canarella & Mahmoud Nourayi & Michael J. Sullivan, 2014. "An alternative test of the trade-off theory of capital structure," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(4), December.
    3. Zhou, Zhongsheng & Li, Zhuo, 2023. "Corporate digital transformation and trade credit financing," Journal of Business Research, Elsevier, vol. 160(C).
    4. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2001. "Company Financing, Captial Structure, and Ownership: A Survey, and Implications for Developing Economies," SUERF Studies, SUERF - The European Money and Finance Forum, number 12 edited by Morten Balling, May.
    5. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2005. "Company Financial Structure: A Survey and Implications for Developing Economies," Chapters, in: Christopher J. Green & Colin Kirkpatrick & Victor Murinde (ed.), Finance and Development, chapter 12, Edward Elgar Publishing.
    6. Swaray, Raymond & Salisu, Afees A., 2018. "A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus," Global Finance Journal, Elsevier, vol. 37(C), pages 199-218.
    7. Manos, Ronny & Murinde, Victor & Green, Christopher J., 2007. "Leverage and business groups: Evidence from Indian firms," Journal of Economics and Business, Elsevier, vol. 59(5), pages 443-465.
    8. Simone Boccaletti, 2021. "Asset Specificity and the Secondary Market for Productive Assets," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(3), pages 411-437, November.
    9. Martínez Ros, Ester & Tribo Gine, José Antonio, 2002. "R&D investment and financial contracting in spanish manufacturig firms," DEE - Working Papers. Business Economics. WB wb020904, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    10. Attaullah Shah & Jasir Ilyas, 2014. "Is Negative Profitability-Leverage Relation the only Support for the Pecking Order Theory in Case of Pakistani Firms?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(1), pages 33-55.
    11. Rashid Ameer, 2013. "Financial liberalization and firms’ capital structure adjustments evidence from Southeast Asia and South America," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 1-32, January.

  5. Jon Vilasuso & David Katz, 2000. "Estimates of the likelihood of extreme returns in international stock markets," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(1), pages 119-130.

    Cited by:

    1. Małgorzata Just & Krzysztof Echaust, 2021. "An Optimal Tail Selection in Risk Measurement," Risks, MDPI, vol. 9(4), pages 1-16, April.
    2. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    3. Bertrand Groslambert & Wan-Ni Lai, 2020. "Ranking tail risk across international stock markets," Economics Bulletin, AccessEcon, vol. 40(2), pages 1756-1768.

  6. Jon Vilasuso, 2000. "Trend Breaks in Money Growth and the Money‐output Relation in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(1), pages 53-60, February.

    Cited by:

    1. Maral Kichian, 2012. "Financial Conditions and the Money-Output Relationship in Canada," Staff Working Papers 12-33, Bank of Canada.
    2. Seitz, Franz & Albuquerque, Bruno & Baumann, Ursel, 2015. "The Information Content Of Money And Credit For US Activity," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113066, Verein für Socialpolitik / German Economic Association.
    3. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    4. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.
    5. Gillman, Max & Nakov, Anton, 2005. "Granger Causality of the Inflation-Growth Mirror in Accession Countries," CEPR Discussion Papers 4845, C.E.P.R. Discussion Papers.
    6. Albuquerque, Bruno & Baumann, Ursel & Seitz, Franz, 2016. "What does money and credit tell us about real activity in the United States?," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 328-347.
    7. Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.

  7. Jon Vilasuso & Mark R. Frascatore, 2000. "Public policy and R&D when research joint ventures are costly," Canadian Journal of Economics, Canadian Economics Association, vol. 33(3), pages 818-839, August.

    Cited by:

    1. Neil Buckley & Stuart Mestelman & Mohamed Shehata, 1999. "Subsidizing Public Inputs," Department of Economics Working Papers 1999-11, McMaster University.
    2. Busom, Isabel & Fernández-Ribas, Andrea, 2008. "The impact of firm participation in R&D programmes on R&D partnerships," Research Policy, Elsevier, vol. 37(2), pages 240-257, March.
    3. Bourreau, Marc & Dogan, PInar, 2010. "Cooperation in product development and process R&D between competitors," International Journal of Industrial Organization, Elsevier, vol. 28(2), pages 176-190, March.
    4. M. Bourreau & P. Dogan & M. Manant, "undated". "Size of RJVs with partial cooperation in product development," Working Paper 33657, Harvard University OpenScholar.
    5. Ouchida, Yasunori & Goto, Daisaku, 2016. "Environmental research joint ventures and time-consistent emission tax: Endogenous choice of R&D formation," Economic Modelling, Elsevier, vol. 55(C), pages 179-188.
    6. Alberto Marzucchi & Davide Antonioli & Sandro Montresor, 2012. "Research cooperation within and across regional boundaries. Does innovation policy add anything?," JRC Working Papers on Corporate R&D and Innovation 2012-04, Joint Research Centre.
    7. Ouchida, Yasunori & Goto, Daisaku, 2014. "Environmental Research Joint Ventures and Time-Consistent Emission Tax," Climate Change and Sustainable Development 166524, Fondazione Eni Enrico Mattei (FEEM).
    8. Falvey, Rod & Poyago-Theotoky, Joanna & Teerasuwannajak, Khemarat Talerngsri, 2013. "Coordination costs and research joint ventures," Economic Modelling, Elsevier, vol. 33(C), pages 965-976.
    9. Hassine, Haithem Ben & Mathieu, Claude, 2020. "R&D crowding out or R&D leverage effects: An evaluation of the french cluster-oriented technology policy," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    10. Poyago-Theotoky, J.A., 2007. "The organization of R&D and environmental policy," Journal of Economic Behavior & Organization, Elsevier, vol. 62(1), pages 63-75, January.
    11. Flavia Roldán & Santiago Acerenza & Martín Pereyra & Liliana Gelabert, 2022. "How does public support for innovation affect cooperation between firms? Evidence from Uruguay," Asociación Argentina de Economía Política: Working Papers 4594, Asociación Argentina de Economía Política.
    12. Philipp Brunner & Igor Letina & Armin Schmutzler, 2022. "Research joint ventures: the role of financial constraints," ECON - Working Papers 416, Department of Economics - University of Zurich, revised Jul 2023.
    13. Kim, Jeong-Eon, 2003. "Three essays on welfare implications of R&D policies in the presence of spillovers," ISU General Staff Papers 200301010800001597, Iowa State University, Department of Economics.
    14. Rod Falvey & Joanna Poyago-Theotoky & Khemarat Teerasuwannajak, 2006. "Coordination Costs: A Drawback for Research Joint Ventures?," Discussion Paper Series 2006_3, Department of Economics, Loughborough University, revised Feb 2006.

  8. Atesoglu, H Sonmez & Vilasuso, Jon, 1999. "A Band Spectral Analysis of Exports and Economic Growth in the United States," Review of International Economics, Wiley Blackwell, vol. 7(1), pages 140-152, February.

    Cited by:

    1. Joseph Francois & Kevin Grier & Douglas Nelson, 2004. "Globalization, Roundaboutness, and Relative Wages," Tinbergen Institute Discussion Papers 04-021/2, Tinbergen Institute.
    2. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
    3. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Post-Print hal-01701122, HAL.
    4. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.

  9. Vilasuso, Jon, 1999. "The Liquidity Effect and the Operating Procedure of the Federal Reserve," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 443-461, July.

    Cited by:

    1. Benjamin M. Friedman & Kenneth N. Kuttner, 2010. "Implementation of Monetary Policy: How Do Central Banks Set Interest Rates?," NBER Working Papers 16165, National Bureau of Economic Research, Inc.

  10. Stephen Cunningham & Jon Vilasuso, 1999. "The Problem With Interim Employment," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 155(2), pages 321-321, June.

    Cited by:

    1. Mosthaf, Alexander, 2011. "Low-wage jobs - stepping stones or just bad signals?," IAB-Discussion Paper 201111, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Alexander Mosthaf, 2014. "Do Scarring Effects of Low-Wage Employment and Non-Employment Differ BETWEEN Levels of Qualification?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 154-177, May.

  11. Cunningham, Steven R. & Tang, Hong & Vilasuso, Jon R., 1997. "A Time Series Analysis of the Relationship between Inflation Uncertainty and Unemployment," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 731-751, October.

    Cited by:

    1. Guglielmo Maria Caporale & Luca Onorante & Paolo Paesani, 2009. "Inflation and Inflation Uncertainty in the Euro Area," CESifo Working Paper Series 2720, CESifo.
    2. Di Bartolomeo Giovanni & Giuli Francesco, 2009. "Fiscal and monetary interaction under monetary policy uncertainty," wp.comunite 0061, Department of Communication, University of Teramo.
    3. Christoph S. Weber, 2020. "The unemployment effect of central bank transparency," Empirical Economics, Springer, vol. 59(6), pages 2947-2975, December.
    4. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    5. Rehab OSMAN, 2010. "SADC EPAs with the EU: the Right or a Blight Way for Development," EcoMod2010 259600127, EcoMod.

  12. Jon Vilasuso, 1997. "The relationship between cash flow and investment in the United States at business cycle frequencies," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1283-1293.

    Cited by:

    1. Deleersnyder, B. & Dekimpe, M.G. & Sarvary, M. & Parker, P.M., 2003. "Weathering Tight Economic Times: The Sales Evolution Of Consumer Durables Over The Business Cycle," ERIM Report Series Research in Management ERS-2003-046-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  13. Cunningham, Steven R. & Vilasuso, Jon R., 1997. "Time Aggregation and the Money-Real GDP Relationship," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 675-695, October.

    Cited by:

    1. R Jea & C-T Su & J-L Lin, 2005. "Time aggregation effect on the correlation coefficient: added-systematically sampled framework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1303-1309, November.
    2. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    3. Gulasekaran Rajaguru & Michael O’Neill & Tilak Abeysinghe, 2018. "Does Systematic Sampling Preserve Granger Causality with an Application to High Frequency Financial Data?," Econometrics, MDPI, vol. 6(2), pages 1-24, June.

  14. Jon Vilasuso, 1996. "Changes in the duration of economic expansions and contractions in the United States," Applied Economics Letters, Taylor & Francis Journals, vol. 3(12), pages 803-806.

    Cited by:

    1. Xuwen Zhu & Yana Melnykov, 2022. "On Finite Mixture Modeling of Change-point Processes," Journal of Classification, Springer;The Classification Society, vol. 39(1), pages 3-22, March.

  15. Vilasuso Jon & Cunningham Steve, 1996. "Tests for Nonlinearity in EMS Exchange Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-16, October.

    Cited by:

    1. Bernd Brandl & Christian Keber & Matthias Schuster, 2006. "An automated econometric decision support system: forecasts for foreign exchange trades," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 401-415, December.
    2. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2007. "The Optimal Degree of Exchange Rate Flexibility: a Target Zone Approach," Review of International Economics, Wiley Blackwell, vol. 15(4), pages 803-822, September.
    3. Kian-Ping Lim & Venus Khim-Sen Liew, 2003. "Testing for Non-Linearity in ASEAN Financial Markets," Finance 0308002, University Library of Munich, Germany.
    4. Jelena Zubkova & Egils Kauzens & Ivars Tillers & Martins Prusis, 2002. "Financial Market in Latvia," Working Papers 2002/02, Latvijas Banka.

  16. S. Cunningham & J. Vilasuso, 1995. "Time aggregation and causality tests: results from a monte carlo experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 403-405.

    Cited by:

    1. R Jea & C-T Su & J-L Lin, 2005. "Time aggregation effect on the correlation coefficient: added-systematically sampled framework," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1303-1309, November.
    2. Bolkesjø, Torjus F. & Buongiorno, Joseph, 2006. "Short- and long-run exchange rate effects on forest product trade: Evidence from panel data," Journal of Forest Economics, Elsevier, vol. 11(4), pages 205-221, January.
    3. Rajaguru, Gulasekaran, 2004. "Impact of systematic sampling on causality in the presence of unit roots," Economics Letters, Elsevier, vol. 84(1), pages 127-132, July.
    4. Gulasekaran Rajaguru & Michael O’Neill & Tilak Abeysinghe, 2018. "Does Systematic Sampling Preserve Granger Causality with an Application to High Frequency Financial Data?," Econometrics, MDPI, vol. 6(2), pages 1-24, June.

  17. Steven R. Cunningham & Jon Vilasuso, 1994. "Is Keynesian Demand Management Policy Still Viable?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 17(2), pages 187-210, December.

    Cited by:

    1. Jean-Paul Fitoussi & Francesco Saraceno, 2007. "Fiscal discipline as a social norm : the European Stability Pact," Sciences Po publications n°2007-22, Sciences Po.
    2. Philip Arestis & Malcolm Sawyer, 1998. "Reassuring the Role of Keynesian Policies for the New Millenium," Macroeconomics 9801004, University Library of Munich, Germany.
    3. Philip Arestis & Malcolm Sawyer, 2003. "Reinventing Fiscal Policy," General Economics and Teaching 0306004, University Library of Munich, Germany.
    4. Paul Alagidede & Jones Odei Mensah & Muazu Ibrahim, 2018. "Optimal Deficit Financing in a Constrained Fiscal Space in Ghana," African Development Review, African Development Bank, vol. 30(3), pages 291-303, September.

  18. Cunningham, Steven R. & Vilasuso, Jon, 1994. "Comparing U.S. GNP volatility across exchange rate regimes: An application of spahe cracking," Journal of Macroeconomics, Elsevier, vol. 16(3), pages 445-459.

    Cited by:

    1. Antonakakis, Nikolaos & Christou, Christina & Gil-Alana, Luis A. & Gupta, Rangan, 2021. "Inflation-targeting and inflation volatility: International evidence from the cosine-squared cepstrum," International Economics, Elsevier, vol. 167(C), pages 29-38.
    2. Kim, Jongwoo, 2000. "The relationship between the monetary regime and output volatility: a multivariate GARCH-M model of the Japanese experience, 1919-1996," Japan and the World Economy, Elsevier, vol. 12(1), pages 49-69, January.

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