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Richard Ashley

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. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.

    Mentioned in:

    1. April Reading List
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2014-04-01 20:43:00

Working papers

  1. Richard Ashley & Kwok Ping Tsang & Randal J. Verbrugge, 2019. "A New Look at Historical Monetary Policy and the Great Inflation through the Lens of a Persistence-Dependent Policy Rule," Working Papers 18-14R, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Jean-Bernard Chatelain & Kirsten Ralf, 2020. "How macroeconomists lost control of stabilization policy: towards dark ages," PSE-Ecole d'économie de Paris (Postprint) halshs-03029894, HAL.
    2. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).
    3. Randal J. Verbrugge & Saeed Zaman, 2023. "Post-COVID Inflation Dynamics: Higher for Longer," Working Papers 23-06R, Federal Reserve Bank of Cleveland, revised 20 Jun 2023.
    4. Randal J. Verbrugge, 2021. "Is It Time to Reassess the Focal Role of Core PCE Inflation?," Working Papers 21-10, Federal Reserve Bank of Cleveland.

  2. Richard Ashley & Randal J. Verbrugge, 2019. "The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification," Working Papers 19-09R2, Federal Reserve Bank of Cleveland, revised 14 Feb 2023.

    Cited by:

    1. Daniel R. Carroll & Randal J. Verbrugge, 2019. "Behavior of a New Median PCE Measure: A Tale of Tails," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2019(10), July.

  3. Richard Ashley & Kwok Ping Tsang & Randal J. Verbrugge, 2018. "All Fluctuations Are Not Created Equal: The Differential Roles of Transitory versus Persistent Changes in Driving Historical Monetary Policy," Working Papers (Old Series) 1814, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Richard Ashley & Randal J. Verbrugge, 2019. "The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification," Working Papers 19-09R2, Federal Reserve Bank of Cleveland, revised 14 Feb 2023.

  4. Richard Ashley & Randal J. Verbrugge, 2015. "Persistence Dependence in Empirical Relations: The Velocity of Money," Working Papers (Old Series) 1530, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).

  5. Richard Ashley & Kwok Ping Tsang & Randal J. Verbrugge, 2014. "Frequency Dependence in a Real-Time Monetary Policy Rule," Working Papers (Old Series) 1430, Federal Reserve Bank of Cleveland.

    Cited by:

    1. Ashley, Richard & Li, Guo, 2014. "Re-examining the impact of housing wealth and stock wealth on retail sales: Does persistence in wealth changes matter?," Journal of Housing Economics, Elsevier, vol. 26(C), pages 109-118.

Articles

  1. Richard Ashley & Kwok Ping Tsang & Randal Verbrugge, 2020. "A new look at historical monetary policy (and the great inflation) through the lens of a persistence-dependent policy rule," Oxford Economic Papers, Oxford University Press, vol. 72(3), pages 672-691.
    See citations under working paper version above.
  2. Richard A. Ashley & Christopher F. Parmeter, 2020. "Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples," Econometrics, MDPI, vol. 8(1), pages 1-24, March.

    Cited by:

    1. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).

  3. Richard A. Ashley & Xiaojin Sun, 2016. "Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models," Econometrics, MDPI, vol. 4(4), pages 1-13, November.

    Cited by:

    1. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    2. Adrian Mehic, 2021. "FDML versus GMM for Dynamic Panel Models with Roots Near Unity," JRFM, MDPI, vol. 14(9), pages 1-9, August.
    3. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    4. Samina RIAZ & Venus Khim-Sen LIEW & Rossazana Bt Ab RAHIM, 2019. "The Impact of Business Cycle on Pakistani Banks Capital Buffer and Portfolio Risk," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 57-71, March.

  4. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.

    Cited by:

    1. Ashley, Richard A. & Parmeter, Christopher F., 2015. "When is it justifiable to ignore explanatory variable endogeneity in a regression model?," Economics Letters, Elsevier, vol. 137(C), pages 70-74.
    2. Jan F. Kiviet, 2015. "When is it really justifiable to ignore explanatory variable endogeneity in a regression model?," UvA-Econometrics Working Papers 15-05, Universiteit van Amsterdam, Dept. of Econometrics.
    3. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.

  5. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.

    Cited by:

    1. David I. Harvey & Stephen J. Leybourne & Emily J. Whitehouse, 2017. "Forecast evaluation tests and negative long-run variance estimates in small samples," Discussion Papers 17/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    2. Gary Cornwall & Jeffrey A. Mills & Beau A. Sauley & Huibin Weng, 2018. "Predictive Testing for Granger Causality via Posterior Simulation and Cross Validation," BEA Working Papers 0156, Bureau of Economic Analysis.
    3. Kyriazakou, Eleni & Panagiotidis, Theodore, 2017. "Causality analysis of the Canadian city house price indices: A cross-sample validation approach," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 42-52.
    4. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    5. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
    6. Jindamas Sutthichaimethee & Kuskana Kubaha, 2018. "The Relationship of Causal Factors Affecting the Future Equilibrium Change of Total Final Energy Consumption in Thailand’s Construction Sector under a Sustainable Development Goal: Enriching the SE-VA," Resources, MDPI, vol. 8(1), pages 1-18, December.
    7. Yi Ren & Yuan Tian & Chengqiu Zhang, 2022. "Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12467-12493, November.
    8. Xiaojie Xu, 2019. "Price dynamics in corn cash and futures markets: cointegration, causality, and forecasting through a rolling window approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 155-181, June.
    9. Ye, Haichun & Ashley, Richard & Guerard, John, 2015. "Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis," International Journal of Forecasting, Elsevier, vol. 31(2), pages 488-500.

  6. Ashley, Richard & Li, Guo, 2014. "Re-examining the impact of housing wealth and stock wealth on retail sales: Does persistence in wealth changes matter?," Journal of Housing Economics, Elsevier, vol. 26(C), pages 109-118.

    Cited by:

    1. Xiaorong Zhou & Meng-Shiuh Chang & Karen Gibler, 2016. "The asymmetric wealth effects of housing market and stock market on consumption in China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(2), pages 196-216, April.
    2. Feng-Li Lin & Mei-Chih Wang & Hsien-Hung Kung, 2020. "Housing and Stock Market Nexus in the US," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 114-130.
    3. Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2021. "What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 81-107, January.
    4. I-Chun Tsai & Che-Chun Lin, 2019. "Variations and Influences of Connectedness among US Housing Markets," International Real Estate Review, Global Social Science Institute, vol. 22(1), pages 27-58.

  7. Richard Ashley, 2012. "On the Origins of Conditional Heteroscedasticity in Time Series," Korean Economic Review, Korean Economic Association, vol. 28, pages 5-25.

    Cited by:

    1. Kyrtsou, Catherine & Mikropoulou, Christina & Papana, Angeliki, 2016. "Does the S&P500 index lead the crude oil dynamics? A complexity-based approach," Energy Economics, Elsevier, vol. 56(C), pages 239-246.

  8. Richard Ashley & Haichun Ye, 2012. "On the Granger causality between median inflation and price dispersion," Applied Economics, Taylor & Francis Journals, vol. 44(32), pages 4221-4238, November.

    Cited by:

    1. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    2. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    3. Christian Garciga & Randal J. Verbrugge & Saeed Zaman, 2024. "The Effect of Component Disaggregation on Measures of the Median and Trimmed-Mean CPI," Working Papers 24-02, Federal Reserve Bank of Cleveland.
    4. Ye, Haichun & Ashley, Richard & Guerard, John, 2015. "Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis," International Journal of Forecasting, Elsevier, vol. 31(2), pages 488-500.

  9. Richard Ashley & Sheryl Ball & Catherine Eckel, 2010. "Motives for Giving: A Reanalysis of Two Classic Public Goods Experiments," Southern Economic Journal, John Wiley & Sons, vol. 77(1), pages 15-26, July.

    Cited by:

    1. Hajikhameneh, Aidin & Iannaccone, Laurence R., 2023. "God games: An experimental study of uncertainty, superstition, and cooperation," Games and Economic Behavior, Elsevier, vol. 139(C), pages 88-116.
    2. Peter Katuščák & Tomáš Miklánek, 2023. "What drives conditional cooperation in public good games?," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 435-467, April.

  10. Elena Rusticelli & Richard Ashley & Estela Bee Dagum & Douglas Patterson, 2009. "A New Bispectral Test for NonLinear Serial Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 279-293.

    Cited by:

    1. Harvill, Jane L. & Ravishanker, Nalini & Ray, Bonnie K., 2013. "Bispectral-based methods for clustering time series," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 113-131.
    2. Simone Giannerini & Esfandiar Maasoumi & Estela Bee Dagum, 2015. "Entropy testing for nonlinear serial dependence in time series," Biometrika, Biometrika Trust, vol. 102(3), pages 661-675.

  11. Richard Ashley, 2009. "Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 325-337, March.

    Cited by:

    1. Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens, 2011. "Identification and Inference with Many Invalid Instruments," NBER Working Papers 17519, National Bureau of Economic Research, Inc.
    2. Christopher S. Armstrong & Ian D. Gow & David F. Larcker, 2013. "The Efficacy of Shareholder Voting: Evidence from Equity Compensation Plans," Journal of Accounting Research, Wiley Blackwell, vol. 51(5), pages 909-950, December.
    3. Karla Borja, 2014. "Social Capital, Remittances and Growth," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(5), pages 574-596, December.
    4. Christopher F. Parmeter & Jaren C. Pope, 2013. "Quasi-experiments and hedonic property value methods," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 1, pages 3-66, Edward Elgar Publishing.
    5. Richard Ashley & Christopher Parmeter, 2015. "Sensitivity analysis for inference in 2SLS/GMM estimation with possibly flawed instruments," Empirical Economics, Springer, vol. 49(4), pages 1153-1171, December.
    6. Antoine, Bertille & Dovonon, Prosper, 2021. "Robust estimation with exponentially tilted Hellinger distance," Journal of Econometrics, Elsevier, vol. 224(2), pages 330-344.
    7. Caner, Mehmet & Morrill, Melinda, 2009. "A New Paradigm: A Joint Test of Structural and Correlation Parameters in Instrumental Variables Regression When Perfect Exogeneity is Violated," MPRA Paper 16790, University Library of Munich, Germany.
    8. Doko Tchatoka, Firmin Sabro, 2012. "Specification Tests with Weak and Invalid Instruments," MPRA Paper 40185, University Library of Munich, Germany.
    9. Ruoyao Shi & Zhipeng Liao, 2018. "An Averaging GMM Estimator Robust to Misspecification," Working Papers 201803, University of California at Riverside, Department of Economics.
    10. Jan F. KIVIET & Jerzy NIEMCZYK, 2013. "On the limiting and empirical distributions of IV estimators when some of the instruments are actually endogenous," Economic Growth Centre Working Paper Series 1311, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    11. Jan F. Kiviet, 2015. "When is it really justifiable to ignore explanatory variable endogeneity in a regression model?," UvA-Econometrics Working Papers 15-05, Universiteit van Amsterdam, Dept. of Econometrics.
    12. Armstrong, Christopher S. & Gow, Ian D. & Larcker, David F., 2012. "The Efficacy of Shareholder Voting: Evidence from Equity Compensation Plans," Research Papers 2097, Stanford University, Graduate School of Business.
    13. Joshua C.C. Chan & Justin L. Tobias, 2012. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," ANU Working Papers in Economics and Econometrics 2012-580, Australian National University, College of Business and Economics, School of Economics.
    14. Jan F. Kiviet, 2016. "Testing the impossible: identifying exclusion restrictions," UvA-Econometrics Working Papers 16-03, Universiteit van Amsterdam, Dept. of Econometrics.
    15. Seyed Morteza Emadi, 2024. "Testing the Exogeneity of Instrumental Variables and Regressors in Linear Regression Models Using Copulas," Papers 2401.15253, arXiv.org.
    16. Richard A. Ashley & Christopher F. Parmeter, 2020. "Sensitivity Analysis of an OLS Multiple Regression Inference with Respect to Possible Linear Endogeneity in the Explanatory Variables, for Both Modest and for Extremely Large Samples," Econometrics, MDPI, vol. 8(1), pages 1-24, March.
    17. Mary Oluwatoyin AGBOOLA & Mehmet BALCILAR, 2014. "Can food availability influence economic growth - the case of African countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(5), pages 232-245.
    18. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    19. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    20. Richard A Dunn, 2012. "Consistently bounding parameter values with one instrument and two endogenous explanatory variables," Economics Bulletin, AccessEcon, vol. 32(2), pages 1074-1081.
    21. Matthew A. Masten & Alexandre Poirier, 2018. "Salvaging Falsified Instrumental Variable Models," Papers 1812.11598, arXiv.org, revised Jan 2020.
    22. Magnus, Jan R. & Vasnev, Andrey L., 2015. "Interpretation and use of sensitivity in econometrics, illustrated with forecast combinations," International Journal of Forecasting, Elsevier, vol. 31(3), pages 769-781.
    23. Marcellino, Massimiliano & Kapetanios, George & Khalaf, Lynda, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.

  12. Richard A. Ashley & Randal J. Verbrugge, 2009. "To difference or not to difference: a Monte Carlo investigation of inference in vector autoregression models," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 1(3), pages 242-274.

    Cited by:

    1. Andrea Bastianin & Matteo Manera, 2015. "How Does Stock Market Volatility React to Oil Shocks?," Working Papers 2014.110, Fondazione Eni Enrico Mattei.
    2. Richard Ashley & Randal J. Verbrugge, 2015. "Persistence Dependence in Empirical Relations: The Velocity of Money," Working Papers (Old Series) 1530, Federal Reserve Bank of Cleveland.
    3. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    4. Johann Burgstaller, 2009. "When and why do Austrian companies issue shares?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 229-244, August.
    5. Mansur, Alfan, 2019. "Sharia Banking Dynamics and the Macroeconomic Responses: Evidence from Indonesia," MPRA Paper 97883, University Library of Munich, Germany, revised 02 Oct 2019.
    6. Johann Burgstaller, 2006. "Bank income and profits over the business and interest rate cycle," Economics working papers 2006-11, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Pesavento, Elena & Rossi, Barbara, 2007. "Impulse response confidence intervals for persistent data: What have we learned?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2398-2412, July.
    8. Verbrugge, Randal & Zaman, Saeed, 2023. "The hard road to a soft landing: Evidence from a (modestly) nonlinear structural model," Energy Economics, Elsevier, vol. 123(C).
    9. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
    10. Ryan R. Brady & Derek Stimel & Steven Sumner, 2012. "A Time Series Test of the Direct Wealth Effect," Departmental Working Papers 40, United States Naval Academy Department of Economics.
    11. Nady Rapelanoro, 2017. "Hoarding international reserves and global liquidity expansion, what are the links and do they matter?," EconomiX Working Papers 2017-13, University of Paris Nanterre, EconomiX.
    12. Maria Bolboaca & Sarah Fischer, 2019. "News Shocks: Different Effects in Boom and Recession?," Working Papers 19.01, Swiss National Bank, Study Center Gerzensee.
    13. Johann Burgstaller, 2005. "Interest rate pass-through estimates from vector autoregressive models," Economics working papers 2005-10, Department of Economics, Johannes Kepler University Linz, Austria.
    14. Silver, Steven D. & Verbrugge, Randal, 2010. "Home production and endogenous economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 297-312, August.
    15. Ryan R. Brady & Derek Stimel & Steven Sumner, 2014. "The Rise of the Housing-Wealth Effect: Counterfactual Impulse Response Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 1-17, November.
    16. Johann Burgstaller, 2006. "The cyclicality of interest rate spreads in Austria: Evidence for a financial decelerator?," Economics working papers 2006-02, Department of Economics, Johannes Kepler University Linz, Austria.
    17. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
    18. Ryan R. Brady & Derek Stimel, 2011. "How the Housing and Financial Wealth Effects have changed over Time," Departmental Working Papers 31, United States Naval Academy Department of Economics.
    19. Gaston Giordana & Ingmar Schumacher, 2012. "Macroeconomic Conditions and Leverage in Monetary Financial Institutions: Comparing European countries and Luxembourg," BCL working papers 77, Central Bank of Luxembourg.
    20. Banu Simmons-Süer, 2013. "Immobilienpreise, Hypothekarkredite und Wohnbauinvestitionen," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 119-131, September.
    21. Bentour, El Mostafa, 2013. "Should Moroccan Officials Depend on the Workers’ Remittances to Finance the Current Account Deficit?," MPRA Paper 52290, University Library of Munich, Germany, revised 01 May 2013.
    22. Florence Bouvet & Ryan Brady & Sharmila King, 2013. "Debt Contagion in Europe: A Panel-VAR Analysis," Departmental Working Papers 44, United States Naval Academy Department of Economics.
    23. Florence Bouvet & Ryan Brady & Sharmila King, 2013. "Debt Contagion in Europe: A Panel-Vector Autoregressive (VAR) Analysis," Social Sciences, MDPI, vol. 2(4), pages 1-23, December.
    24. Jagannath Mallick, 2019. "The effects of government investment shocks on private investment: Empirical evidence from the developing economy," Indian Economic Review, Springer, vol. 54(2), pages 291-316, December.
    25. OJAGHLOU, Mortaza, 2020. "Dynamic Effects of Macroeconomic Fundamentals on Stock Market Movements: Evidence from BIST100," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 5(2), pages 17-36, December.
    26. Sangyeon Hwang & Hyejoon Im, 2017. "International Trade Finance and Exports: Evidence from Korean Bank-Intermediated Trade Finance Instruments," Open Economies Review, Springer, vol. 28(2), pages 319-346, April.
    27. Nady Rapelanoro, 2017. "Hoarding international reserves and global liquidity expansion, what are the links and do they matter?," Working Papers hal-04141660, HAL.
    28. Gahn, Santiago José, 2021. "On the adjustment of capacity utilisation to aggregate demand: Revisiting an old Sraffian critique to the Neo-Kaleckian model," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 325-360.

  13. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.

    Cited by:

    1. Ciner, Cetin, 2011. "Commodity prices and inflation: Testing in the frequency domain," Research in International Business and Finance, Elsevier, vol. 25(3), pages 229-237, September.
    2. Richard Ashley & Randal J. Verbrugge, 2015. "Persistence Dependence in Empirical Relations: The Velocity of Money," Working Papers (Old Series) 1530, Federal Reserve Bank of Cleveland.
    3. Ashley, Richard & Li, Guo, 2014. "Re-examining the impact of housing wealth and stock wealth on retail sales: Does persistence in wealth changes matter?," Journal of Housing Economics, Elsevier, vol. 26(C), pages 109-118.
    4. Ciner, Cetin, 2015. "Are equities good inflation hedges? A frequency domain perspective," Review of Financial Economics, Elsevier, vol. 24(C), pages 12-17.
    5. Joseph G. Haubrich, 2015. "How Cyclical Is Bank Capital?," Working Papers 15-04R, Federal Reserve Bank of Cleveland.
    6. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    7. Amy Higgins & Randal J. Verbrugge, 2015. "Tracking Trend Inflation: Nonseasonally Adjusted Variants of the Median and Trimmed-Mean CPI," Working Papers (Old Series) 1527, Federal Reserve Bank of Cleveland.
    8. Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2020. "Frequency-dependent real-time effects of uncertainty in the United States: evidence from daily data," Applied Economics Letters, Taylor & Francis Journals, vol. 27(19), pages 1562-1566, November.
    9. Sinha, Pankaj & Agnihotri, Shalini, 2014. "Sensitivity of Value at Risk estimation to NonNormality of returns and Market capitalization," MPRA Paper 56307, University Library of Munich, Germany, revised 26 May 2014.
    10. Manuel M. F. Martins & Fabio Verona, 2021. "Inflation Dynamics and Forecast: Frequency Matters," CEF.UP Working Papers 2101, Universidade do Porto, Faculdade de Economia do Porto.
    11. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    12. Richard Ashley & Randal J. Verbrugge, 2019. "The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification," Working Papers 19-09R2, Federal Reserve Bank of Cleveland, revised 14 Feb 2023.
    13. Emmanuel Anoruo & Vasudeva N. R. Murthy, 2017. "An examination of the REIT return–implied volatility relation: a frequency domain approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(3), pages 581-594, July.
    14. Cetin Ciner, 2015. "Are equities good inflation hedges? A frequency domain perspective," Review of Financial Economics, John Wiley & Sons, vol. 24(1), pages 12-17, January.
    15. Martins, Manuel Mota Freitas & Verona, Fabio, 2020. "Forecasting inflation with the New Keynesian Phillips curve: Frequency matters," Bank of Finland Research Discussion Papers 4/2020, Bank of Finland.
    16. Joanna Bruzda, 2011. "The Haar Wavelet Transfer Function Model and Its Applications," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 141-154.
    17. Chan, Wing Hong & Le, Minh & Wu, Yan Wendy, 2019. "Holding Bitcoin longer: The dynamic hedging abilities of Bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 107-113.

  14. Ashley, Richard, 2008. "Growth may be good for the poor, but decline is disastrous: On the non-robustness of the Dollar-Kraay result," International Review of Economics & Finance, Elsevier, vol. 17(2), pages 333-338.

    Cited by:

    1. Ke-Mei Chen & Te-Mu Wang, 2015. "Determinants of Poverty Status in Taiwan: A Multilevel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(2), pages 371-389, September.
    2. Leena Kalliovirta & Tuomas Malinen, 2015. "Nonlinearity and cross-country dependence of income inequality," Working Papers 358, ECINEQ, Society for the Study of Economic Inequality.
    3. Tran, Tuyen Quang & Thi Nguyen, Hoai Thu & Hoang, Quang Ngoc & Van Nguyen, Dinh, 2022. "The influence of contextual and household factors on multidimensional poverty in rural Vietnam: A multilevel regression analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 390-403.
    4. Salem , Ali Asghar & Bayat , Neda, 2018. "Factors Influencing Poverty in Iran Using a Multilevel Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(1), pages 81-106, January.

  15. Ashley, Richard A. & Patterson, Douglas M., 2006. "Evaluating the Effectiveness of State-Switching Time Series Models for U.S. Real Output," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 266-277, July.

    Cited by:

    1. Paul Alagidede & Theodore Panagiotidis, 2009. "Modelling stock returns in Africa’s emerging equity markets," Discussion Paper Series 2009_01, Department of Economics, University of Macedonia, revised Jan 2009.
    2. Theodore Panagiotidis, 2008. "Market Efficiency and the Euro: The case of the Athens Stock exchange," Discussion Paper Series 2008_14, Department of Economics, University of Macedonia, revised Dec 2008.
    3. Beckmann, Joscha & Czudaj, Robert, 2013. "Oil prices and effective dollar exchange rates," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 621-636.
    4. Richard Ashley, 2012. "On the Origins of Conditional Heteroscedasticity in Time Series," Korean Economic Review, Korean Economic Association, vol. 28, pages 5-25.
    5. T Tang, 2009. "Testing for Non-linearity in the Balancing Item of Balance of Payments Accounts: The Case of 20 Industrial Countries," Economic Issues Journal Articles, Economic Issues, vol. 14(2), pages 107-124, September.
    6. William Barnett & Hajar Aghababa, 2016. "Dynamic Structure of the Spot Price of Crude Oil: Does Time Aggregation Matter?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201602, University of Kansas, Department of Economics, revised Aug 2016.
    7. Kian-Ping Lim, 2009. "Weak-form market efficiency and nonlinearity: evidence from Middle East and African stock indices," Applied Economics Letters, Taylor & Francis Journals, vol. 16(5), pages 519-522.
    8. Lim, Kian-Ping & Brooks, Robert D. & Hinich, Melvin J., 2008. "Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 527-544, December.
    9. Juan Reboredo, 2010. "Nonlinear effects of oil shocks on stock returns: a Markov-switching approach," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3735-3744.
    10. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.

  16. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.

    Cited by:

    1. Hilde C. Bj�rnland & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud & Christie Smith, 2010. "Does forecast combination improve Norges Bank inflation forecasts?," Working Papers No 2/2010, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    3. Xiaoyi Mu and Haichun Ye, 2015. "Small Trends and Big Cycles in Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    4. Mihaela Bratu (Simionescu), 2013. "How to Improve the SPF Forecasts?," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(2), pages 153-165, April.
    5. Jaqueson K. Galimberti & Sergio da Silva, 2012. "An empirical case against the use of genetic-based learning classifier systems as forecasting devices," Economics Bulletin, AccessEcon, vol. 32(1), pages 354-369.
    6. Thomas A. Knetsch, 2004. "Evaluating the German Inventory Cycle – Using Data from the Ifo Business Survey," CESifo Working Paper Series 1202, CESifo.
    7. John B. Guerard, 2024. "Sir David Hendry: An Appreciation from Wall Street and What Macroeconomics Got Right," Working Papers 2024-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2024.
    8. David I. Harvey & Stephen J. Leybourne & Emily J. Whitehouse, 2017. "Forecast evaluation tests and negative long-run variance estimates in small samples," Discussion Papers 17/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    9. Barrera, Carlos, 2013. "El sistema de predicción desagregada: Una evaluación de las proyecciones de inflación 2006-2011," Working Papers 2013-009, Banco Central de Reserva del Perú.
    10. F. Antolini & L. Grassini, 2019. "Foreign arrivals nowcasting in Italy with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2385-2401, September.
    11. Bjørnland, Hilde C. & Brubakk, Leif & Jore, Anne Sofie, 2006. "Forecasting inflation with an uncertain output gap," Memorandum 11/2006, Oslo University, Department of Economics.
    12. Colino, Evelyn V. & Irwin, Scott H., 2007. "Outlook vs. Futures: Three Decades of Evidence in Hog and Cattle Markets," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37577, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    13. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    14. BRATU SIMIONESCU, Mihaela, 2012. "Two Quantitative Forecasting Methods For Macroeconomic Indicators In Czech Republic," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 3(1), pages 71-87.
    15. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    16. Kuo, Chen-Yin, 2016. "Does the vector error correction model perform better than others in forecasting stock price? An application of residual income valuation theory," Economic Modelling, Elsevier, vol. 52(PB), pages 772-789.
    17. Gabriel Moser & Fabio Rumler & Johann Scharler, 2004. "Forecasting Austrian Inflation," Working Papers 91, Oesterreichische Nationalbank (Austrian Central Bank).
    18. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip, 2009. "Do Composite Procedures Really Improve the Accuracy of Outlook Forecasts?," 2009 Conference, April 20-21, 2009, St. Louis, Missouri 53052, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    19. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip & Etienne, Xiaoli, 2012. "Composite and Outlook Forecast Accuracy," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-19, August.
    20. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    21. Kyriazi, Foteini & Thomakos, Dimitrios D. & Guerard, John B., 2019. "Adaptive learning forecasting, with applications in forecasting agricultural prices," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1356-1369.
    22. Brooks, Chris & Burke, Simon P. & Stanescu, Silvia, 2016. "Finite sample weighting of recursive forecast errors," International Journal of Forecasting, Elsevier, vol. 32(2), pages 458-474.
    23. Manfredo, Mark R. & Sanders, Dwight R., 2004. "Forecast Encompassing And Futures Market Efficiency: The Case Of Milk Futures," 2004 Annual meeting, August 1-4, Denver, CO 20267, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    24. Sanders, Dwight R. & Manfredo, Mark R., 2004. "Predicting Pork Supplies: An Application of Multiple Forecast Encompassing," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(3), pages 1-11, December.
    25. Chen-Yin Kuo, 2017. "Is the accuracy of stock value forecasting relevant to industry factors or firm-specific factors? An empirical study of the Ohlson model," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 195-225, July.
    26. John B. Guerard & Dimitrios D. Thomakos & Foteini Kyriazi & Konstantinos Mamais, 2023. "On the Predictability of the DJIA and S&P500 Indices," Working Papers 2023-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    27. Yelland, Phillip M., 2010. "Bayesian forecasting of parts demand," International Journal of Forecasting, Elsevier, vol. 26(2), pages 374-396, April.
    28. Rivera, Roberto, 2016. "A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data," Tourism Management, Elsevier, vol. 57(C), pages 12-20.
    29. Dr Martin Weale & Dr. James Mitchell, 2005. "Forecasting manufacturing output growth using firm-level survey data," National Institute of Economic and Social Research (NIESR) Discussion Papers 251, National Institute of Economic and Social Research.
    30. Mihaela Bratu, 2012. "A Strategy to Improve the Survey of Professional Forecasters (SPF) Predictions Using Bias-Corrected-Accelerated (BCA) Bootstrap Forecast Intervals," International Journal of Synergy and Research, ToKnowPress, vol. 1(2), pages 45-59.
    31. Ye, Haichun & Ashley, Richard & Guerard, John, 2015. "Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis," International Journal of Forecasting, Elsevier, vol. 31(2), pages 488-500.

  17. Altuğ, Sumru & Ashley, Richard A. & Patterson, Douglas M., 1999. "Are Technology Shocks Nonlinear?," Macroeconomic Dynamics, Cambridge University Press, vol. 3(4), pages 506-533, December.

    Cited by:

    1. Fève, Patrick & Garcia Sanchez, Pablo & Moura, Alban & Pierrard, Olivier, 2019. "Costly default and asymetric real business cycles," TSE Working Papers 19-1048, Toulouse School of Economics (TSE).
    2. Sumru Altuğ & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Working Papers 0032, Yildiz Technical University, Department of Economics, revised Mar 2010.
    3. Domenico Ferraro & Giuseppe Fiori, 2023. "Search Frictions, Labor Supply, and the Asymmetric Business Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 5-42, February.
    4. Duncan, Roberto, 2016. "Does the US current account show a symmetric behavior over the business cycle?," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 202-219.
    5. Valderrama, Diego, 2007. "Statistical nonlinearities in the business cycle: A challenge for the canonical RBC model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 2957-2983, September.
    6. Sean Holly & Paul Turner & Melvyn Weeks, 2003. "Asymmetric Adjustment and Bias in Estimation of an Equilibrium Relationship from a Cointegrating Regression," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 195-202, June.
    7. Domenico Ferraro, 2014. "The Asymmetric Cyclical Behavior of the U.S. Labor Market," 2014 Meeting Papers 1104, Society for Economic Dynamics.
    8. Diego Valderrama, 2002. "Nonlinearities in international business cycles," Working Paper Series 2002-23, Federal Reserve Bank of San Francisco.
    9. Sumru Altug & Erhan Uluceviz, 2011. "Leading Indicators of Real Activity and Inflation for Turkey, 2001-2010," Koç University-TUSIAD Economic Research Forum Working Papers 1134, Koc University-TUSIAD Economic Research Forum.
    10. Domenico Ferraro, 2018. "Online Appendix to "The Asymmetric Cyclical Behavior of the U.S. Labor Market"," Online Appendices 16-161, Review of Economic Dynamics.
    11. Gary D. Hansen & Edward C. Prescott, 2005. "Capacity constraints, asymmetries, and the business cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(4), pages 850-865, October.
    12. Randal J. Verbrugge, 1998. "A cross-country investigation of macroeconomic asymmetries," Macroeconomics 9809017, University Library of Munich, Germany, revised 30 Sep 1998.
    13. Diego Valderrama, 2003. "Statistical Nonlinearities in the Business Cycle," Computing in Economics and Finance 2003 219, Society for Computational Economics.

  18. Tan, Hui Boon & Ashley, Richard, 1999. "Detection And Modeling Of Regression Parameter Variation Across Frequencies," Macroeconomic Dynamics, Cambridge University Press, vol. 3(1), pages 69-83, March.

    Cited by:

    1. Richard Ashley & Randal J. Verbrugge, 2015. "Persistence Dependence in Empirical Relations: The Velocity of Money," Working Papers (Old Series) 1530, Federal Reserve Bank of Cleveland.
    2. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
    3. Fabio Busetti & Michele Caivano, 2017. "Low frequency drivers of the real interest rate: a band spectrum regression approach," Temi di discussione (Economic working papers) 1132, Bank of Italy, Economic Research and International Relations Area.
    4. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    5. Rui Pascoal, 2012. "Macroeconomic Factors of Household Default. Is There Myopic Behaviour?," GEMF Working Papers 2012-20, GEMF, Faculty of Economics, University of Coimbra.
    6. Ciner, Cetin, 2013. "Oil and stock returns: Frequency domain evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 1-11.
    7. Emmanuel Anoruo & Vasudeva N. R. Murthy, 2017. "An examination of the REIT return–implied volatility relation: a frequency domain approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(3), pages 581-594, July.
    8. Ralf Becker & Walter Enders & Stan Hurn, 2001. "Modelling Structural Change in Money Demand Using a Fourier-Series Approximation," Research Paper Series 67, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Ralf Becker & Walter Enders & A. Stan Hurn, 2001. "Testing for Time Dependence in Parameters," Research Paper Series 58, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Chan, Wing Hong & Le, Minh & Wu, Yan Wendy, 2019. "Holding Bitcoin longer: The dynamic hedging abilities of Bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 107-113.

  19. Ashley, Richard, 1998. "A new technique for postsample model selection and validation," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 647-665, May.

    Cited by:

    1. Thomakos, Dimitrios D. & Guerard, John Jr., 2004. "Naive, ARIMA, nonparametric, transfer function and VAR models: A comparison of forecasting performance," International Journal of Forecasting, Elsevier, vol. 20(1), pages 53-67.
    2. Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
    3. John B. Guerard, 2024. "Sir David Hendry: An Appreciation from Wall Street and What Macroeconomics Got Right," Working Papers 2024-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2024.
    4. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    5. Isengildina-Massa, Olga & Sharp, Julia L., 2013. "Interval Forecast Comparison," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150791, Agricultural and Applied Economics Association.
    6. Guglielmo Maria Caporale & Juncal Cuñado & Luis A. Gil-Alana, 2013. "Modelling long-run trends and cycles in financial time series data," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(3), pages 405-421, May.
    7. Isabel Figuerola‐Ferretti & Alejandro Rodríguez & Eduardo Schwartz, 2021. "Oil price analysts' forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1351-1374, September.
    8. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    9. Norwood, F. Bailey & Lusk, Jayson L. & Brorsen, B. Wade, 2004. "Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-16, December.
    10. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    11. Lusk, Jayson L. & Norwood, F. Bailey & Brorsen, B. Wade, 2004. "Forecasting Limited Dependent Variables: Better Statistics For Better Steaks," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34612, Southern Agricultural Economics Association.
    12. Maria Caporale, Guglielmo & A. Gil-Alana, Luis, 2011. "Multi-Factor Gegenbauer Processes and European Inflation Rates," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 26, pages 386-409.
    13. L.A. Gil-Alana & G.M. caporale, 2004. "Long-run and Cyclical Dynamics in the US Stock Market," Econometric Society 2004 Latin American Meetings 344, Econometric Society.
    14. George Kapetanios & Vincent Labhard & Simon Price, 2005. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Bank of England working papers 268, Bank of England.
    15. Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015. "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, vol. 48(1), pages 407-426, February.
    16. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    17. Peña, Daniel & Sánchez, Ismael, 2001. "New in-sample prediction errors in time series with applications," DES - Working Papers. Statistics and Econometrics. WS ws011107, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    19. Juncal Cuñado & Luis A. Gil-Alaña, 2007. "Tourism in the Canary Islands: Forecasting Using Several Seasonal Time Series Models," Faculty Working Papers 02/07, School of Economics and Business Administration, University of Navarra.
    20. Chao, John & Corradi, Valentina & Swanson, Norman R., 2001. "Out-Of-Sample Tests For Granger Causality," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 598-620, September.
    21. Zaman, Asad, 2008. "Causal Relations via Econometrics," MPRA Paper 10128, University Library of Munich, Germany.
    22. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2012. "Persistence and Cycles in the US Federal Funds Rate," CESifo Working Paper Series 4035, CESifo.
    23. Hirashima, Ashley & Jones, James & Bonham, Carl S. & Fuleky, Peter, 2017. "Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism," Annals of Tourism Research, Elsevier, vol. 63(C), pages 191-202.
    24. Annaert, Jan & Claes, Anouk G.P. & De Ceuster, Marc J.K. & Zhang, Hairui, 2015. "Estimating the long rate and its volatility," Economics Letters, Elsevier, vol. 129(C), pages 100-102.
    25. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    26. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
    27. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.

  20. Ashley, Richard & Patterson, Douglas, 1990. "A Nonparametric Distribution-Free Test for Serial Independence in Stock Returns: A Comment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 417-418, September.

    Cited by:

    1. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 1999. "Tests of the Contrarian Investment Strategy Evidence from the French and German stock markets," International Review of Financial Analysis, Elsevier, vol. 8(3), pages 215-234, March.
    2. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 2000. "The Contrarian/Overreaction Hypothesis: An analysis of the US and Canadian stock markets," Global Finance Journal, Elsevier, vol. 11(1-2), pages 53-72.

  21. Ashley, Richard, 1990. "Shrinkage Estimation with General Loss Functions: An Application of Stochastic Dominance Theory," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 301-313, May.

    Cited by:

    1. Shalabh, & Garg, G. & Heumann, C., 2012. "Performance of double k-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 35-47.

  22. Ashley, Richard A & Patterson, Douglas M, 1989. "Linear versus Nonlinear Macroeconomies: A Statistical Test," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 685-704, August.

    Cited by:

    1. Liddle, Brantley & Smyth, Russell & Zhang, Xibin, 2020. "Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel," Energy Economics, Elsevier, vol. 86(C).
    2. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 1996. "A Single-Blind Controlled Competition among Tests for Nonlinearity and Chaos," Econometrics 9602005, University Library of Munich, Germany, revised 29 Jan 1997.
    3. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    4. Dufrenot Gilles & Mathieu Laurent, 1994. "Methods In Economics: Testing For Linearity," Journal des Economistes et des Etudes Humaines, De Gruyter, vol. 5(2-3), pages 1-16, June.
    5. Costas Siriopoulos & Alexandros Leontitsis, 2002. "Nonlinear Noise Estimation in International Capital Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(1), pages 43-63, March.
    6. Pfann, Gerard A., 1996. "Factor demand models with nonlinear short-run fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 315-331.
    7. Valderrama, Diego, 2007. "Statistical nonlinearities in the business cycle: A challenge for the canonical RBC model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(9), pages 2957-2983, September.
    8. David Chappell & Robert Eldridge, 1997. "Non-linear characteristics of the sterling/European Currency Unit exchange rate: 1984-1992," The European Journal of Finance, Taylor & Francis Journals, vol. 3(2), pages 159-182.
    9. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2006. "Não Linearidade Nos Ciclos De Negócios: Modelo Auto-Regressivo “Smooth Transition” Para O Índice Geral De Produção Industrial Brasileiro E Bens De Capital," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 10, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    10. Diego Valderrama, 2002. "Nonlinearities in international business cycles," Working Paper Series 2002-23, Federal Reserve Bank of San Francisco.
    11. Cornelis A. Los & Jeyanthi Karuppiah, 2004. "Wavelet Multiresolution Analysis of High-Frequency Asian FX Rates, Summer 1997," Finance 0409037, University Library of Munich, Germany.
    12. Jeyanthi Karuppiah & Cornelis A. Los, 2000. "Wavelet Multiresolution Analysis of High-Frequency FX Rates, Summer 1997," School of Economics and Public Policy Working Papers 2000-06, University of Adelaide, School of Economics and Public Policy.
    13. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    14. Peter Kugler, 1990. "Sind Wechselkursfluktuationen zufällig oder chaotisch?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 126(II), pages 113-129, June.
    15. Lubos Briatka, 2006. "How Big is Big Enough? Justifying Results of the iid Test Based on the Correlation Integral in the Non-Normal World," CERGE-EI Working Papers wp308, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    16. Ignacio Escanuela Romana & Clara Escanuela Nieves, 2023. "A spectral approach to stock market performance," Papers 2305.05762, arXiv.org.
    17. T Tang, 2009. "Testing for Non-linearity in the Balancing Item of Balance of Payments Accounts: The Case of 20 Industrial Countries," Economic Issues Journal Articles, Economic Issues, vol. 14(2), pages 107-124, September.
    18. William Barnett & Hajar Aghababa, 2016. "Dynamic Structure of the Spot Price of Crude Oil: Does Time Aggregation Matter?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201602, University of Kansas, Department of Economics, revised Aug 2016.
    19. Maurice Peat & Max Stevenson, 1995. "Testing for Nonlinearities in Economic and Financial Time Series," Working Paper Series 48, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    20. Stephanie Rendón de la Torre, 2012. "Estimación del coeficiente de Hurst con wavelets de índices accionarios de Turquía, Indonesia, México y Corea del Sur," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 6(2), pages 27-50.
    21. Diego Valderrama, 2003. "Statistical Nonlinearities in the Business Cycle," Computing in Economics and Finance 2003 219, Society for Computational Economics.
    22. Liu, Yamei, 2000. "Overfitting and forecasting: linear versus non-linear time series models," ISU General Staff Papers 2000010108000014914, Iowa State University, Department of Economics.
    23. Teles, Paulo & Wei, William W. S., 2000. "The effects of temporal aggregation on tests of linearity of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 91-103, July.

  23. Ashley, Richard, 1988. "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 4(3), pages 363-376.

    Cited by:

    1. Fullerton, Thomas M., Jr. & Kelley, Brian W., 2008. "El Paso Housing Sector Econometric Forecast Accuracy," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-18, April.
    2. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    3. Wiesław Dębski & Bartosz Świderski & Jarosław Kurek, 2018. "Scientific research activity and GDP. An analysis of causality based on 144 countries from around the world," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(3), September.
    4. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    5. Thomas M. Fullerton Jr. & Carol T. West, 2004. "Regional Econometric Housing Start Forecast Accuracy in Florida," Urban/Regional 0403004, University Library of Munich, Germany.
    6. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    7. Thomas M. Fullerton & Torres Ruiz & Luis BernardoAuthor-Workplace-Name: University of Texas at E1 Pasio, USA, 2004. "Maquiladora employment dynamics in Chihuahua City, Mexico," Journal of Developing Areas, Tennessee State University, College of Business, vol. 38(1), pages 1-17, September.
    8. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
    9. Roberto Tinajero & Thomas M. Fullerton & Lawrence Waldman, 2005. "Regional econometric income forecast accuracy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 325-333.
    10. Carol Taylor West & Thomas M. Fullerton Jr., 2004. "Assessing the Historical Accuracy of Regional Economic Forecasts," Urban/Regional 0404009, University Library of Munich, Germany.
    11. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
    12. Makridakis, Spyros & Hyndman, Rob J. & Petropoulos, Fotios, 2020. "Forecasting in social settings: The state of the art," International Journal of Forecasting, Elsevier, vol. 36(1), pages 15-28.
    13. Thomas M. Fullerton Jr. & Juan Alberto Luevano & Carol Taylor West, 2004. "Accuracy of Regional Single-Family Housing Start Forecasts," Urban/Regional 0404010, University Library of Munich, Germany.
    14. Fullerton, Thomas Jr. & Laaksonen, Mika M. & West, Carol T., 2001. "Regional multi-family housing start forecast accuracy," International Journal of Forecasting, Elsevier, vol. 17(2), pages 171-180.
    15. Li, Mengheng & Koopman, Siem Jan & Lit, Rutger & Petrova, Desislava, 2020. "Long-term forecasting of El Niño events via dynamic factor simulations," Journal of Econometrics, Elsevier, vol. 214(1), pages 46-66.
    16. Thomas M. Fullerton Jr. & George Novela, 2010. "Metropolitan Maquiladora Econometric Forecast Accuracy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 124-140, September.

  24. Ashley, Richard A. & Patterson, Douglas M., 1986. "A Nonparametric, Distribution-Free Test for Serial Independence in Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(2), pages 221-227, June.

    Cited by:

    1. Chun, Young Hak, 1997. "Rank-based selection strategies for the random walk process," European Journal of Operational Research, Elsevier, vol. 96(2), pages 417-427, January.
    2. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 1999. "Tests of the Contrarian Investment Strategy Evidence from the French and German stock markets," International Review of Financial Analysis, Elsevier, vol. 8(3), pages 215-234, March.
    3. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 2000. "The Contrarian/Overreaction Hypothesis: An analysis of the US and Canadian stock markets," Global Finance Journal, Elsevier, vol. 11(1-2), pages 53-72.

  25. Richard A. Ashley & Douglas M. Patterson & Melvin J. Hinich, 1986. "A Diagnostic Test For Nonlinear Serial Dependence In Time Series Fitting Errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(3), pages 165-178, May.

    Cited by:

    1. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
    2. Ammermann, Peter A. & Patterson, Douglas M., 2003. "The cross-sectional and cross-temporal universality of nonlinear serial dependencies: Evidence from world stock indices and the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 11(2), pages 175-195, April.
    3. Ahn, Eun S. & Lee, Jin Man, 2012. "The Performance Of Nonlinearity Tests On Asymmetric Nonlinear Time Series," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 11-44.
    4. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 1996. "A Single-Blind Controlled Competition among Tests for Nonlinearity and Chaos," Econometrics 9602005, University Library of Munich, Germany, revised 29 Jan 1997.
    5. Mills, Terence C., 1995. "Business cycle asymmetries and non-linearities in U.K. macroeconomic time series," Ricerche Economiche, Elsevier, vol. 49(2), pages 97-124, June.
    6. William A. Barnett & Barry E. Jones & Milka Kirova & Travis Nesmith & Meenakshi Pasupathy, 2004. "The Nonlinear Skeletons in the Closet," Econometrics 0405003, University Library of Munich, Germany.
    7. de Lima, Pedro J. F., 1997. "On the robustness of nonlinearity tests to moment condition failure," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 251-280.
    8. William A. Barnett & Melvin J. Hinich & Piyu Yue, 2000. "The Exact Theoretical Rational Expectations Monetary Aggregate," Macroeconomics 0003004, University Library of Munich, Germany.
    9. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    10. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    11. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    12. Harvill, Jane L. & Ravishanker, Nalini & Ray, Bonnie K., 2013. "Bispectral-based methods for clustering time series," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 113-131.
    13. Kian-Ping Lim & M. Azali & M.S. Habibullah & Venus Khim-Sen Liew, 2003. "Are Non-Linear Dynamics a Universal Occurrence? Further Evidence From Asian Stock Markets," Finance 0308001, University Library of Munich, Germany.
    14. Hinich Melvin J & Mendes Eduardo M & Stone Lewi, 2005. "Detecting Nonlinearity in Time Series: Surrogate and Bootstrap Approaches," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-15, December.
    15. Kian-Ping Lim & Venus Khim-Sen Liew, 2003. "Testing for Non-Linearity in ASEAN Financial Markets," Finance 0308002, University Library of Munich, Germany.
    16. T Tang, 2009. "Testing for Non-linearity in the Balancing Item of Balance of Payments Accounts: The Case of 20 Industrial Countries," Economic Issues Journal Articles, Economic Issues, vol. 14(2), pages 107-124, September.
    17. Phillip Wild & Melvin J. Hinich & John Foster, 2008. "Are Daily and Weekly Load and Spot Price Dynamics in Australia's National Electricity Market Governed by Episodic Nonlinearity?," Discussion Papers Series 368, School of Economics, University of Queensland, Australia.
    18. Guy Melard, 1994. "Modèles linéaires et non linéaires," ULB Institutional Repository 2013/13804, ULB -- Universite Libre de Bruxelles.
    19. Jane L. Harvill & Priya Kohli & Nalini Ravishanker, 2017. "Clustering Nonlinear, Nonstationary Time Series Using BSLEX," Methodology and Computing in Applied Probability, Springer, vol. 19(3), pages 935-955, September.
    20. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.
    21. Phillip Wild & John Foster, 2012. "On testing for non-linear and time irreversible probabilistic structure in high frequency ASX financial time series data," Discussion Papers Series 466, School of Economics, University of Queensland, Australia.
    22. Houston Stokes & Melvin Hinich, 2011. "Detecting and modeling nonlinearity in the gas furnace data," Computational Statistics, Springer, vol. 26(1), pages 77-93, March.
    23. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    24. Teles, Paulo & Wei, William W. S., 2000. "The effects of temporal aggregation on tests of linearity of a time series," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 91-103, July.

  26. Ashley, Richard & Vaughan, David, 1986. "Measuring Measurement Error in Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 95-103, January.

    Cited by:

    1. T.D. Stanley & Ann Robinson, 1990. "Sifting Statistical Significance From the Artifact of Regression- Discontinuity Design," Evaluation Review, , vol. 14(2), pages 166-181, April.
    2. Kirill Evdokimov & Yuichi Kitamura & Taisuke Otsu, 2014. "Robust estimation of moment condition models with weakly dependent data," STICERD - Econometrics Paper Series 579, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Peter R. Hansen & Asger Lunde, 2010. "Estimating the Persistence and the Autocorrelation Function of a Time Series that is Measured with Error," CREATES Research Papers 2010-08, Department of Economics and Business Economics, Aarhus University.
    4. Geng, Pei, 2022. "Estimation of functional-coefficient autoregressive models with measurement error," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    5. Peter X.‐K. Song & Dingan Feng, 2005. "On Parameter Estimation for Exponential Dispersion Arma Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(6), pages 843-862, November.

  27. Ashley, Richard A & Orr, Daniel, 1985. "Further Results on Inventories and Price Stickiness," American Economic Review, American Economic Association, vol. 75(5), pages 964-975, December.

    Cited by:

    1. Yevgeny Tsodikovich & Ehud Lehrer, 2019. "Stochastic revision opportunities in Markov decision problems," Annals of Operations Research, Springer, vol. 279(1), pages 251-270, August.
    2. Qi Feng & Sirong Luo & J. George Shanthikumar, 2020. "Integrating Dynamic Pricing with Inventory Decisions Under Lost Sales," Management Science, INFORMS, vol. 66(5), pages 2232-2247, May.
    3. Qi Feng, 2010. "Integrating Dynamic Pricing and Replenishment Decisions Under Supply Capacity Uncertainty," Management Science, INFORMS, vol. 56(12), pages 2154-2172, December.
    4. Rossana, Robert J., 1988. "On The Size of Adjustment Parameters in Inventory Investment Equations," Department of Economics and Business - Archive 259442, North Carolina State University, Department of Economics.

  28. Ashley, Richard, 1985. "On the Optimal Use of Suboptimal Forecasts of Explanatory Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(2), pages 129-131, April.

    Cited by:

    1. Christian E. Weller & Amanda Logan & Bernard Morzuch, 2008. "Desperate vs. Deadbeat: Can We Quantify the Effect of the Bankruptcy Abuse Prevention and Consumer Protection Act of 2005?," Working Papers wp185, Political Economy Research Institute, University of Massachusetts at Amherst.

  29. Ashley, Richard, 1984. "A Simple Test for Regression Parameter Instability," Economic Inquiry, Western Economic Association International, vol. 22(2), pages 253-268, April.

    Cited by:

    1. Richard Ashley & Randal J. Verbrugge, 2015. "Persistence Dependence in Empirical Relations: The Velocity of Money," Working Papers (Old Series) 1530, Federal Reserve Bank of Cleveland.
    2. Joachim Zietz, 2005. "Detecting Neglected Parameter Heterogeneity with Chow Tests," Working Papers 200503, Middle Tennessee State University, Department of Economics and Finance.
    3. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    4. Brooks, Robert D. & Faff, Robert W. & Yew, Kee Ho, 1997. "A new test of the relationship between regulatory change in financial markets and the stability of beta risk of depository institutions," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 197-219, February.
    5. Mr. Subramanian S Sriram, 1999. "Survey of Literature on Demand for Money: Theoretical and Empirical Work with Special Reference to Error-Correction Models," IMF Working Papers 1999/064, International Monetary Fund.
    6. John J. Beggs, 1988. "Diagnostic Testing in Applied Econometrics," The Economic Record, The Economic Society of Australia, vol. 64(2), pages 81-101, June.
    7. A. C. Arize, 1994. "An Econometric Analysis of Money Demand in Taiwan, 1950–1989," The American Economist, Sage Publications, vol. 38(1), pages 27-35, March.
    8. Wai-Chung Lo & Hung-Gay Fung & Morse, Joel N., 1995. "A note on Euroyen and domestic yen interest rates," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1309-1321, October.
    9. Gamber, Edward N. & Hakes, David R., 1995. "Do shifts in federal reserve policy regimes explain interest rate anomalies?," Journal of Macroeconomics, Elsevier, vol. 17(2), pages 227-240.
    10. Yash P. Mehra, 1985. "Inflationary expectations, money growth, and the vanishing liquidity effect of money on interest : a further investigation," Economic Review, Federal Reserve Bank of Richmond, vol. 71(Mar), pages 23-35.
    11. Martha K. Field & Emilio Pagoulatos, 1997. "The Cyclical Behavior of Price Elasticity of Demand," Southern Economic Journal, John Wiley & Sons, vol. 64(1), pages 118-129, July.

  30. Ashley, Richard, 1981. "Inflation and the Distribution of Price Changes across Markets: A Causal Analysis," Economic Inquiry, Western Economic Association International, vol. 19(4), pages 650-660, October.

    Cited by:

    1. Hushak, Leroy J., 1985. "The Exchange Rate And Agriculture: Real Issue Or Dead Horse!," 1985 Annual Meeting, August 4-7, Ames, Iowa 278660, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    3. Ana Buisán & Fernando Restoy, 1986. "Inflación y variabilidad de los precios relativos en España (1976-1983)," Investigaciones Economicas, Fundación SEPI, vol. 10(2), pages 327-356, May.
    4. Ashley, Richard, 1998. "A new technique for postsample model selection and validation," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 647-665, May.
    5. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
    6. Al Awad, Mouawiya & Goodwin, Barry K., 1998. "Dynamic linkages among real interest rates in international capital markets," Journal of International Money and Finance, Elsevier, vol. 17(6), pages 881-907, December.
    7. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
    8. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.

  31. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.

    Cited by:

    1. De Leon, Marycruz & Fullerton, Thomas M., Jr. & Kelley, Brian W., 2009. "Tolls, Exchange Rates, and Borderplex International Bridge Traffic," MPRA Paper 19861, University Library of Munich, Germany.
    2. Tae-Hwy Lee & Weiping Yang, 2014. "Granger-Causality in Quantiles between Financial Markets: Using Copula Approach," Working Papers 201406, University of California at Riverside, Department of Economics.
    3. Juan José Echavarría & Mauricio Villamizar, 2012. "Great expectations? Evidence from Colombia’s exchange rate survey," Borradores de Economia 735, Banco de la Republica de Colombia.
    4. Jansen, Dennis W. & Kishan, Ruby Pandey, 1996. "An evaluation of federal reserve forecasting," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 89-109.
    5. Fullerton, Thomas M., Jr. & Kelley, Brian W., 2008. "El Paso Housing Sector Econometric Forecast Accuracy," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-18, April.
    6. Rik Hafer & Scott E. Hein, 1989. "Comparing futures and survey forecasts of near-term Treasury bill rates," Review, Federal Reserve Bank of St. Louis, issue May, pages 33-42.
    7. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
    8. Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M. & Leeflang, P.S.H., 2007. "The Role of National Culture in Advertising’s Sensitivity to Business Cycles: An Investigation Across All Continents," ERIM Report Series Research in Management ERS-2007-095-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.
    9. Francesco Ravazzolo & Joaquin L. Vespignani, 2015. "A New Monthly Indicator of Global Real Economic Activity," Working Paper 2015/06, Norges Bank.
    10. Shao, Ying-Hui & Yang, Yan-Hong & Shao, Hao-Lin & Stanley, H. Eugene, 2019. "Time-varying lead–lag structure between the crude oil spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 723-733.
    11. Stockhammar, Pär & Österholm, Pär, 2016. "Do Inflation Expectations Granger Cause Inflation?," Working Papers 145, National Institute of Economic Research.
    12. Kastens, Terry L. & Schroeder, Ted C., 1993. "Expectations of Cattle Feeding Investors in Feeder Cattle Placements," Staff Papers 118159, Kansas State University, Department of Agricultural Economics.
    13. Todd E. Clark, 2000. "Can out-of-sample forecast comparisons help prevent overfitting?," Research Working Paper RWP 00-05, Federal Reserve Bank of Kansas City.
    14. Berger, Helge & Österholm, Pär, 2008. "Does money growth granger-cause inflation in the Euro Area? Evidence from output-of-sample forecasts using Bayesian VARs," Discussion Papers 2008/10, Free University Berlin, School of Business & Economics.
    15. Thomakos, Dimitrios D. & Guerard, John Jr., 2004. "Naive, ARIMA, nonparametric, transfer function and VAR models: A comparison of forecasting performance," International Journal of Forecasting, Elsevier, vol. 20(1), pages 53-67.
    16. Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
    17. Dovern, Jonas & Ziegler, Christina, 2008. "Predicting growth rates and recessions: assessing US leading indicators under real-time conditions," Kiel Working Papers 1397, Kiel Institute for the World Economy (IfW Kiel).
    18. Benedetto Molinari & Francesco Turino, 2009. "Advertising and Business Cycle Fluctuations," 2009 Meeting Papers 419, Society for Economic Dynamics.
    19. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2017. "The dynamic linkages between crude oil and natural gas markets," Energy Economics, Elsevier, vol. 62(C), pages 155-170.
    20. Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
    21. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    22. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Food versus Fuel: Causality and Predictability in Distribution," IEFE Working Papers 56, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    23. Ran, Jimmy & Voon, Jan P. & Li, Guangzhong, 2008. "Effects of foreign currency component in monetary aggregates on money neutrality," Economics Letters, Elsevier, vol. 99(3), pages 435-438, June.
    24. Yan Carrière-Swallow & Felipe Labbé, 2010. "Nowcasting With Google Trends in an Emerging Market," Working Papers Central Bank of Chile 588, Central Bank of Chile.
    25. Andrea Bastianin & Marzio Galeotti & Matteo Manera, 2013. "Biofuels and Food Prices: Searching for the Causal Link," Working Papers 239, University of Milano-Bicocca, Department of Economics, revised Mar 2013.
    26. Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    27. D. Sornette & W. -X. Zhou, 2004. "Non-parametric Determination of Real-Time Lag Structure between Two Time Series: the "Optimal Thermal Causal Path" Method," Papers cond-mat/0408166, arXiv.org.
    28. Allen, Geoff, 1997. "Model selection and forecasting ability of theory-constrained food demand systems : T.L. Kastens and G.W. Brester, 1996, American journal of agricultural economics, 78, 301-312," International Journal of Forecasting, Elsevier, vol. 13(1), pages 150-151, March.
    29. Adam G. Walke & Thomas M. Fullerton Jr., 2019. "Metropolitan Hotel Sector Forecast Accuracy in El Paso," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 179-191, June.
    30. Bwo‐Nung Huang & Chin‐Wei Yang, 2004. "Industrial output and stock price revisited: an application of the multivariate indirect causality model," Manchester School, University of Manchester, vol. 72(3), pages 347-362, June.
    31. Jay Choi, Jongmoo & Hauser, Shmuel & Kopecky, Kenneth J., 1999. "Does the stock market predict real activity? Time series evidence from the G-7 countries," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1771-1792, December.
    32. McCrorie, J. Roderick & Chambers, Marcus J., 2006. "Granger causality and the sampling of economic processes," Journal of Econometrics, Elsevier, vol. 132(2), pages 311-336, June.
    33. Valentina Corradi & Norman Swanson, 2003. "Some Recent Developments in Predictive Accuracy Testing With Nested Models and (Generic) Nonlinear Alternatives," Departmental Working Papers 200316, Rutgers University, Department of Economics.
    34. Ho, Jason Y.C. & Dhar, Tirtha & Weinberg, Charles B., 2009. "Playoff payoff: Super Bowl advertising for movies," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 168-179.
    35. John B. Guerard, 2024. "Sir David Hendry: An Appreciation from Wall Street and What Macroeconomics Got Right," Working Papers 2024-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2024.
    36. Francesco Ravazzolo & Philip Rothman, 2010. "Oil and US GDP: A real-time out-of-sample examination," Working Paper 2010/18, Norges Bank.
    37. Tae-Hwy Lee & Ekaterina Seregina & Yaojue Xu, 2023. "Elicitability and Encompassing for Volatility Forecasts by Bregman Functions," Working Papers 202311, University of California at Riverside, Department of Economics.
    38. Ralf Dewenter & Ulrich Heimeshoff, 2017. "Predicting Advertising Volumes Using Structural Time Series Models: A Case Study," Economics Bulletin, AccessEcon, vol. 37(3), pages 1644-1652.
    39. Mary A. Malina & Hanne S.O. Nørreklit & Frank H. Selto, 2011. "Lessons learned: advantages and disadvantages of mixed method research," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 8(1), pages 59-71, April.
    40. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    41. Goddard, Ellen W. & Shank, Benjamin & Panter, Chris & Nilsson, Tomas K.H. & Cash, Sean B., 2007. "Canadian Chicken Industry: Consumer Preferences, Industry Structure and Producer Benefits from Investment in Research and Advertising," Project Report Series 52088, University of Alberta, Department of Resource Economics and Environmental Sociology.
    42. Tae-Hwy Lee & Weiping Yang, 2012. "Money–Income Granger-Causality in Quantiles," Advances in Econometrics, in: 30th Anniversary Edition, pages 385-409, Emerald Group Publishing Limited.
    43. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.
    44. Joseph Haslag & Yu-Chin Hsu, 2012. "Cyclical Co-movement between Output, the Price Level, and Inflation," Working Papers 1203, Department of Economics, University of Missouri.
    45. Yang Ding & Xianlei Dong & Yi Bu & Bin Zhang & Kexin Lin & Beibei Hu, 2021. "Revisiting the relationship between downloads and citations: a perspective from papers with different citation patterns in the case of the Lancet," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7609-7621, September.
    46. Rik Hafer & Scott E. Hein, 1988. "Forecasting inflation using interest rate and time-series models: some international evidence," Working Papers 1988-001, Federal Reserve Bank of St. Louis.
    47. Moonsoo Park & Yanhong H. Jin & David A. Bessler, 2008. "The impacts of animal disease crises on the Korean meat market," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 183-195, September.
    48. West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 3, pages 99-134, Elsevier.
    49. John M. Gandar & Richard A. Zuber & William H. Dare, 2000. "The Search for Informed Traders in the Totals Betting Market for National Basketball Association Games," Journal of Sports Economics, , vol. 1(2), pages 177-186, May.
    50. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    51. Mr. Helge Berger & Mr. Thomas Harjes, 2009. "Does Global Liquidity Matter for Monetary Policy in the Euro Area?," IMF Working Papers 2009/017, International Monetary Fund.
    52. Douglas Lamdin, 2008. "Galbraith on Advertising, Credit, and Consumption: A Retrospective and Empirical Investigation with Policy Implications," Review of Political Economy, Taylor & Francis Journals, vol. 20(4), pages 595-611.
    53. Pardey, Philip G. & Craig, Barbara J., 1987. "Dynamics Of The Agricultural Research And Output Relationship," Staff Papers 13515, University of Minnesota, Department of Applied Economics.
    54. Matthias Greuner & David Kamerschen & Peter Klein, 2000. "The Competitive Effects of Advertising in the US Automobile Industry, 1970-94," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 7(3), pages 245-261.
    55. Bradshaw, Girard W. & Orden, David, 1990. "Granger Causality From The Exchange Rate To Agricultural Prices And Export Sales," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-11, July.
    56. Kala Krishna & Ataman Ozyildirim & Norman R. Swanson, 1998. "Trade, Investment, and Growth: Nexus, Analysis, and Prognosis," NBER Working Papers 6861, National Bureau of Economic Research, Inc.
    57. Mr. Martin Mühleisen & Ms. Kornelia Krajnyak & Mr. Stephan Danninger & Mr. David Hauner & Mr. Bennett W Sutton, 2005. "How Do Canadian Budget Forecasts Compare with Those of Other Industrial Countries?," IMF Working Papers 2005/066, International Monetary Fund.
    58. Gelper, Sarah & Croux, Christophe, 2007. "Multivariate out-of-sample tests for Granger causality," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3319-3329, April.
    59. Murphy, Elizabeth A. & Norwood, F. Bailey & Wohlgenant, Michael K., 2003. "Do Economic Restrictions Improve Forecasts?," 2003 Annual meeting, July 27-30, Montreal, Canada 22208, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    60. Nicholas J. Powers, 1989. "A study of demand response to grocery advertising of fresh California-Arizona navel oranges," Agribusiness, John Wiley & Sons, Ltd., vol. 5(5), pages 423-435.
    61. Joseph H. Haslag & Xue Li, 2017. "On Phase Shifts in a New Keynesian Model Economy," Working Papers 1703, Department of Economics, University of Missouri.
    62. Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017. "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, vol. 33(1), pages 153-173.
    63. Yudong Wang & Li Liu, 2016. "Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging," Empirical Economics, Springer, vol. 50(4), pages 1481-1509, June.
    64. Marc-André Gosselin & Greg Tkacz, 2001. "Evaluating Factor Models: An Application to Forecasting Inflation in Canada," Staff Working Papers 01-18, Bank of Canada.
    65. Todd E. Clark & Kenneth D. West, 2005. "Using Out-of-Sample Mean Squared Prediction Errors to Test the Martingale Difference," NBER Technical Working Papers 0305, National Bureau of Economic Research, Inc.
    66. Gary Cornwall & Jeffrey A. Mills & Beau A. Sauley & Huibin Weng, 2018. "Predictive Testing for Granger Causality via Posterior Simulation and Cross Validation," BEA Working Papers 0156, Bureau of Economic Analysis.
    67. Terry L. Kastens & Gary W. Brester, 1996. "Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 301-312.
    68. Seldom, Barry J. & Jung, Chulho, 1995. "The length of the effect of aggregate advertising on aggregate consumption," Economics Letters, Elsevier, vol. 48(2), pages 207-211, May.
    69. Nelson Sá, 2015. "Market concentration and persuasive advertising: a theoretical approach," Journal of Economics, Springer, vol. 114(2), pages 127-151, March.
    70. Khurshid Kiani & Terry Kastens, 2008. "Testing Forecast Accuracy of Foreign Exchange Rates: Predictions from Feed Forward and Various Recurrent Neural Network Architectures," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 383-406, November.
    71. Kelly Burns, 2016. "A Reconsideration of the Meese-Rogoff Puzzle: An Alternative Approach to Model Estimation and Forecast Evaluation," Multinational Finance Journal, Multinational Finance Journal, vol. 20(1), pages 41-83, March.
    72. Seldon, Barry J. & Jewell, R. Todd & O'Brien, Daniel M., 2000. "Media substitution and economies of scale in advertising," International Journal of Industrial Organization, Elsevier, vol. 18(8), pages 1153-1180, December.
    73. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
    74. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
    75. Krieger, Kevin & Fodor, Andy, 2013. "Price movements and the prevalence of informed traders: The case of line movement in college basketball," Journal of Economics and Business, Elsevier, vol. 68(C), pages 70-82.
    76. Wang, Zijun, 2010. "Dynamics and causality in industry-specific volatility," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1688-1699, July.
    77. Karlsson, Sune & Österholm, Pär, 2018. "A Note on the Stability of the Swedish Philips Curve," Working Papers 2018:6, Örebro University, School of Business.
    78. Ken Holden & John Thompson, 1997. "Combining forecasts, encompassing and the properties of UK macroeconomic forecasts," Applied Economics, Taylor & Francis Journals, vol. 29(11), pages 1447-1458.
    79. Hai-Chuan Xu & Wei-Xing Zhou & Didier Sornette, 2018. "Time-dependent lead-lag relationship between the onshore and offshore Renminbi exchange rates," Papers 1803.09432, arXiv.org.
    80. Jones, Rodney D. & Kastens, Terry L., 1999. "Predicting Feeding Cost Of Gain With More Precision," 1999 Annual meeting, August 8-11, Nashville, TN 21506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    81. Stephen J. Majeski & David L. Jones, 1981. "Arms Race Modeling," Journal of Conflict Resolution, Peace Science Society (International), vol. 25(2), pages 259-288, June.
    82. Andrea Berardi & Michael Markovich & Alberto Plazzi & Andrea Tamoni, 2021. "Mind the (Convergence) Gap: Bond Predictability Strikes Back!," Management Science, INFORMS, vol. 67(12), pages 7888-7911, December.
    83. Kyriazakou, Eleni & Panagiotidis, Theodore, 2017. "Causality analysis of the Canadian city house price indices: A cross-sample validation approach," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 42-52.
    84. McIntosh, Christopher S. & Bessler, David A., 1988. "Forecasting Agricultural Prices Using a Bayesian Composite Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(2), pages 73-80, December.
    85. Driver, Ciaran, 2015. "Advertising’s Elusive Economic Rationale: is there a case for limiting tax relief?," MPRA Paper 68790, University Library of Munich, Germany.
    86. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, vol. 41(C), pages 137-146.
    87. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    88. Thomas M. Fullerton Jr. & Angel L. Molina Jr & Adam G. Walke, 2013. "Tolls, exchange rates, and northbound international bridge traffic from Mexico," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(3), pages 305-321, August.
    89. Kastens, Terry L. & Schroeder, Ted C., 1994. "Cattle Feeder Behavior And Feeder Cattle Placements," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-12, December.
    90. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers 2011-025, Federal Reserve Bank of St. Louis.
    91. Richard A. Ashley & Kwok Ping Tsang, 2014. "Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach," Econometrics, MDPI, vol. 2(1), pages 1-20, March.
    92. West, K.D. & McCracken, M.W., 1997. "Regression-Based Tests of Predictive Ability," Working papers 9710, Wisconsin Madison - Social Systems.
    93. Francisco F. R. Ramos, 1996. "Causality Among Sales,Advertising and Prices: New Evidence from a Multivariate Cointegrated System," Econometrics 9612004, University Library of Munich, Germany.
    94. Brorsen, B. Wade & Akridge, Jay T. & Boland, Michael A. & Mauney, Sean & Forrest, John C., 1998. "Performance Of Alternative Component Pricing Systems For Pork," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(2), pages 1-12, December.
    95. Daniel Orr, 1987. "Notes on the mass media as an economic institution," Public Choice, Springer, vol. 53(1), pages 79-95, January.
    96. Kirstin Hubrich & Kenneth D. West, 2008. "Forecast Evaluation of Small Nested Model Sets," NBER Working Papers 14601, National Bureau of Economic Research, Inc.
    97. Stuart Fraser & David Paton, 2003. "Does advertising increase labour supply? Time series evidence from the UK," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1357-1368.
    98. Parigi, Giuseppe & Golinelli, Roberto, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
    99. Helge Berger & Thomas Harjes, 2009. "Does Global Liquidity Matter for Monetary Policy in the Euro Area?," International Finance, Wiley Blackwell, vol. 12(1), pages 33-55, May.
    100. Friedrich, Christian & Klein, Melanie, 2009. "On the look-out for the bear: Predicting stock market downturns in G7 countries," Kiel Advanced Studies Working Papers 451, Kiel Institute for the World Economy (IfW Kiel).
    101. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    102. Rangel José Gonzalo, 2009. "Macroeconomic News, Announcements, and Stock Market Jump Intensity Dynamics," Working Papers 2009-15, Banco de México.
    103. Goodwin, Barry K., 1992. "Forecasting Cattle Prices In The Presence Of Structural Change," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-12, December.
    104. Ubilava, David, 2014. "On the Relationship between Financial Instability and Economic Performance: Stressing the Business of Nonlinear Modelling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170222, Agricultural and Applied Economics Association.
    105. Nicolás Magner & Nicolás Hardy, 2022. "Cryptocurrency Forecasting: More Evidence of the Meese-Rogoff Puzzle," Mathematics, MDPI, vol. 10(13), pages 1-27, July.
    106. Lusk, Jayson L. & Norwood, F. Bailey & Brorsen, B. Wade, 2004. "Forecasting Limited Dependent Variables: Better Statistics For Better Steaks," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34612, Southern Agricultural Economics Association.
    107. Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
    108. Inoue, Atsushi & Kilian, Lutz, 2002. "In-sample or out-of-sample tests of predictability: which one should we use?," Working Paper Series 195, European Central Bank.
    109. Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
    110. Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
    111. Kastens, Terry L. & Schroeder, Ted C., 1996. "Efficiency Tests Of July Kansas City Wheat Futures," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-12, December.
    112. Covey, Ted & Bessler, David A., 1991. "The Role of Futures in Daily Forward Pricing," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271282, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    113. Shmuel Hauser & Yael Tanchuma & Uzi Yaari, 1998. "International Transfer Of Pricing Information Between Dually Listed Stocks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(2), pages 139-157, June.
    114. Benedetto Molinari & Francesco Turino, 2009. "Advertising, Labor Supply and the Aggregate Economy. A long run Analysis," Working Papers 09.16, Universidad Pablo de Olavide, Department of Economics.
    115. Schumacher, Sara K. & Marsh, Thomas L., 2002. "Economies Of Scale In The Greenhouse Floriculture Industry," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36577, Western Agricultural Economics Association.
    116. Norwood, Bailey & Schroeder, Ted C., 2000. "Usefulness of Placement-Weight Data in Forecasting Fed Cattle Marketings and Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(1), pages 63-72, April.
    117. R. D. Brooks & R. W. Faff & M. McKenzie, 2002. "Time varying country risk: an assessment of alternative modelling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 249-274.
    118. Mr. Helge Berger & Mr. Thomas Harjes & Mr. Emil Stavrev, 2008. "The ECB’s Monetary Analysis Revisited," IMF Working Papers 2008/171, International Monetary Fund.
    119. Combes, C. & Rivat, C., 2008. "A modelling environment based on data warehousing to manage and to optimize the running of international company," International Journal of Production Economics, Elsevier, vol. 112(1), pages 294-308, March.
    120. Moosa, Imad & Burns, Kelly, 2014. "The unbeatable random walk in exchange rate forecasting: Reality or myth?," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 69-81.
    121. Berger, Helge & Österholm, Pär, 2007. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," Working Paper Series 2007:30, Uppsala University, Department of Economics.
    122. Byrne, Joseph P. & Kortava, Ekaterina & MacDonald, Ronald, 2013. "A new approach to tests of pricing-to-market," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 654-667.
    123. Óscar Bajo Rubio & Simón Sosvilla Rivero & Fernando Fernández Rodríguez, 2000. "Asymmetry In The Ems: New Evidence Based On Non-Linear Forecasts," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0001, Departamento de Economía - Universidad Pública de Navarra.
    124. Andres Fernandez & Norman R. Swanson, 2009. "Real-time datasets really do make a difference: definitional change, data release, and forecasting," Working Papers 09-28, Federal Reserve Bank of Philadelphia.
    125. Zapata, Hector O. & Gil, Jose M., 1999. "Cointegration and causality in international agricultural economics research," Agricultural Economics, Blackwell, vol. 20(1), pages 1-9, January.
    126. Elam, Emmett W. & Holder, Shelby H., 1985. "An Evaluation Of The Rice Outlook And Situation Price Forecasts," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(2), pages 1-7, December.
    127. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    128. Chew Lian Chua & Sarantis Tsiaplias, 2008. "Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?," Melbourne Institute Working Paper Series wp2008n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    129. Peña, Daniel & Sánchez, Ismael, 2001. "New in-sample prediction errors in time series with applications," DES - Working Papers. Statistics and Econometrics. WS ws011107, Universidad Carlos III de Madrid. Departamento de Estadística.
    130. Yang, Zihui & Zhao, Yongliang, 2014. "Energy consumption, carbon emissions, and economic growth in India: Evidence from directed acyclic graphs," Economic Modelling, Elsevier, vol. 38(C), pages 533-540.
    131. Boriss Siliverstovs, 2011. "The Real-Time Predictive Content of the KOF Economic Barometer," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 147(III), pages 353-375, September.
    132. Cook, Steven, 2007. "On the relationship between mergers and economic activity: Evidence from an optimised hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 628-634.
    133. Phipps, Tim, 1982. "Farmland Prices and the Return to Land: An Application of Causality Testing," 1982 Annual Meeting, August 1-4, Logan, Utah 279162, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    134. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
    135. Brorsen, B. Wade & Irwin, Scott H., 1996. "Improving The Relevance Of Research On Price Forecasting And Marketing Strategies," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(1), pages 1-8, April.
    136. Hudson, Michael A. & Capps, Oral, Jr., 1984. "Forecasting Ex-Vessel Prices for Hard Blue Crabs in the Chesapeake Bay Region: Individual and Composite Methods," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 13(1), pages 1-7, April.
    137. Theodosios Perifanis & Athanasios Dagoumas, 2018. "Price and Volatility Spillovers Between the US Crude Oil and Natural Gas Wholesale Markets," Energies, MDPI, vol. 11(10), pages 1-25, October.
    138. Ravazzolo, Francesco & Vespignani, Joaquin, 2017. "World steel production: A new monthly indicator of global real economic activity," Working Papers 2017-08, University of Tasmania, Tasmanian School of Business and Economics.
    139. Zidong An & João Tovar Jalles, 2020. "On the Performance of US Fiscal Forecasts: Government vs. Private Information," Working Papers REM 2020/0130, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    140. Chao, John & Corradi, Valentina & Swanson, Norman R., 2001. "Out-Of-Sample Tests For Granger Causality," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 598-620, September.
    141. Palm, F.C., 1981. "Structural econometric modelling and time series analysis towards an integrated approach," Serie Research Memoranda 0004, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    142. T. M. Fullerton & A. G. Walke, 2013. "Public transportation demand in a border metropolitan economy," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3922-3931, September.
    143. Dipanwita Barai & Thomas M. Fullerton, Jr. & Adam G. Walke, 2018. "Exchange Rate Forecast Futility For The Taka," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(2), pages 1-7.
    144. Arabinda Basistha & Richard Startz, 2023. "Measuring Persistent Global Economic Factors with Output, Commodity Price, and Commodity Currency Data," Working Papers 23-05, Department of Economics, West Virginia University.
    145. Leo Krippner, 1998. "Testing the predictive power of New Zealand bank bill futures rates," Reserve Bank of New Zealand Discussion Paper Series G98/8, Reserve Bank of New Zealand.
    146. Péguin-Feissolle, Anne & Strikholm, Birgit & Teräsvirta, Timo, 2007. "Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form," SSE/EFI Working Paper Series in Economics and Finance 672, Stockholm School of Economics, revised 18 Jan 2012.
    147. Samavati, Hedayeh, 1987. "A multivariate time series analysis of commodity, money, and credit markets," ISU General Staff Papers 198701010800009587, Iowa State University, Department of Economics.
    148. Batten, Jonathan A. & Ciner, Cetin & Kosedag, Arman & Lucey, Brian M., 2017. "Is the price of gold to gold mining stocks asymmetric?," Economic Modelling, Elsevier, vol. 60(C), pages 402-407.
    149. Thomas Fullerton & Roberto Tinajero & Jorge Mendoza Cota, 2007. "An Empirical Analysis of Tijuana Water Consumption," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(3), pages 357-369, September.
    150. Zhou, Wei-Xing & Sornette, Didier, 2006. "Non-parametric determination of real-time lag structure between two time series: The "optimal thermal causal path" method with applications to economic data," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 195-224, March.
    151. Nicolas Pietersma, 2006. "What Advertisers Want: A Hedonic Analysis of Advertising Rates in South African Consumer Magazines," Working Papers 041, Economic Research Southern Africa.
    152. Benedetto Molinari & Francesco Turino, 2015. "Advertising and Aggregate Consumption: A Bayesian DSGE Assessment," Working Papers 15.02, Universidad Pablo de Olavide, Department of Economics.
    153. Ma, Shaohui & Fildes, Robert & Huang, Tao, 2016. "Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information," European Journal of Operational Research, Elsevier, vol. 249(1), pages 245-257.
    154. Richard Deaves, 1996. "Forecasting Canadian Short-Term Interest Rates," Canadian Journal of Economics, Canadian Economics Association, vol. 29(3), pages 615-634, August.
    155. Haney, Ted J. & Phillips, William E. & Adamowicz, Wiktor L., 1991. "Private Landowner Wildlife Habitat in Alberta: An Economic Analsis of Retention and Development," Project Report Series 232130, University of Alberta, Department of Resource Economics and Environmental Sociology.
    156. Yan Lu & Debanjan Mitra & David Musto & Sugata Ray, 2020. "Can Brands Circumvent Marketing Regulations? Exploiting Umbrella Branding in Financial Markets," Marketing Science, INFORMS, vol. 39(1), pages 71-91, January.
    157. Berger, Helge & Österholm, Pär, 2008. "Does money still matter for U.S. output?," Discussion Papers 2008/7, Free University Berlin, School of Business & Economics.
    158. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
    159. Liu, Li & Chen, Ching-Cheng & Wan, Jieqiu, 2013. "Is world oil market “one great pool”?: An example from China's and international oil markets," Economic Modelling, Elsevier, vol. 35(C), pages 364-373.
    160. Raymond Tse & Sivaguru Ganesan, 1997. "Causal relationship between construction flows and GDP: evidence from Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 15(4), pages 371-376.
    161. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Westerlund, Joakim, 2016. "Are Islamic stock returns predictable? A global perspective," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 210-223.
    162. Bhargava, Alok, 2014. "Firms’ fundamentals, macroeconomic variables and quarterly stock prices in the US," Journal of Econometrics, Elsevier, vol. 183(2), pages 241-250.
    163. Kolev, Gueorgui I. & Karapandza, Rasa, 2017. "Out-of-sample equity premium predictability and sample split–invariant inference," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 188-201.
    164. Fridriksson, Kari S. & Zoega, Gylfi, 2012. "Advertising as a predictor of investment," Economics Letters, Elsevier, vol. 116(1), pages 60-66.
    165. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.
    166. Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
    167. Mary A. Malina & Hanne S. O. Nørreklit & Frank H. Selto, 2007. "Relations among Measures, Climate of Control, and Performance Measurement Models," Contemporary Accounting Research, John Wiley & Sons, vol. 24(3), pages 935-982, September.
    168. Pedro Moreno Alonso & Antonio Mu oz San Roque, 2021. "Oil Costs and Prices: An Empirical Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 546-554.
    169. Wei-Xing Zhou & Didier Sornette, 2006. "Lead-lag cross-sectional structure and detection of correlated-anticorrelated regime shifts: Application to the volatilities of inflation and economic growth rates," Papers physics/0607197, arXiv.org.
    170. Ftiti, Zied & Hadhri, Sinda, 2019. "Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 40-55.
    171. Nunes, Mauricio & Da Silva, Sergio, 2005. "Política Monetária e Relação entre PIB Real e Mercado de Ações na Economia Brasileira [Monetary policy and the relationship between real GDP and stockmarket in the Brazilian economy]," MPRA Paper 4158, University Library of Munich, Germany.
    172. Sharma, Susan Sunila, 2016. "Can consumer price index predict gold price returns?," Economic Modelling, Elsevier, vol. 55(C), pages 269-278.
    173. Berger, Helge & Harjes, Thomas & Stavrev, Emil, 2008. "The ECB's monetary analysis revisited," Discussion Papers 2008/14, Free University Berlin, School of Business & Economics.
    174. Shiu-Sheng Chen, 2005. "A note on in-sample and out-of-sample tests for Granger causality," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 453-464.
    175. Imad Moosa & Kelly Burns, 2014. "Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3107-3118, September.
    176. Ashley, Richard, 1998. "A new technique for postsample model selection and validation," Journal of Economic Dynamics and Control, Elsevier, vol. 22(5), pages 647-665, May.
    177. Wang Pu & Yixiang Chen & Feng Ma, 2016. "Forecasting the realized volatility in the Chinese stock market: further evidence," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3116-3130, July.
    178. Liam J. A. Lenten, 2010. "Bananas and petrol: further evidence on the forecasting accuracy of the ABS 'headline' and 'underlying' rates of inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 556-572.
    179. Joutz, Fred & Stekler, H. O., 2000. "An evaluation of the predictions of the Federal Reserve," International Journal of Forecasting, Elsevier, vol. 16(1), pages 17-38.
    180. Imad Moosa & Kelly Burns, 2014. "A reappraisal of the Meese--Rogoff puzzle," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 30-40, January.
    181. Brooks, Chris & Burke, Simon P. & Stanescu, Silvia, 2016. "Finite sample weighting of recursive forecast errors," International Journal of Forecasting, Elsevier, vol. 32(2), pages 458-474.
    182. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    183. Imad A. Moosa, 2008. "Forecasting the Chinese Yuan-US Dollar Exchange Rate under the New Chinese Exchange Rate Regime," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(1), pages 23-35, April.
    184. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    185. Imad A. Moosa, 2015. "The random walk versus unbiased efficiency: can we separate the wheat from the chaff?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 38(2), pages 251-279, October.
    186. Thomas Fullerton & Roberto Tinajero & Martha Barraza de Anda, 2006. "Short-Term Water Consumption Patterns in Ciudad Juárez, Mexico," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 467-479, December.
    187. Nivens, Heather D. & Kastens, Terry L. & Dhuyvetter, Kevin C., 2000. "Using Satellite Imagery In Kansas Crop Yield And Net Farm Income Forecasts," 2000 Conference, April 17-18 2000, Chicago, Illinois 18943, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    188. Esplin, Adam, 2022. "Industry-level versus firm-level forecasts of long-term earnings growth," Finance Research Letters, Elsevier, vol. 47(PA).
    189. Hoxha Adriatik, 2010. "Causal relationship between prices and wages: VECM analysis for Germany," EuroEconomica, Danubius University of Galati, issue 26, pages 90-106, November.
    190. Bryant, Henry L. & Haigh, Michael S., 2002. "Bid-Ask Spreads In Commodity Futures Markets," Working Papers 28587, University of Maryland, Department of Agricultural and Resource Economics.
    191. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    192. Österholm, Pär, 2009. "Improving Unemployment Rate Forecasts Using Survey Data," Working Papers 112, National Institute of Economic Research.
    193. Wang, Zijun & Yang, Jian & Li, Qi, 2007. "Interest rate linkages in the Eurocurrency market: Contemporaneous and out-of-sample Granger causality tests," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 86-103, February.
    194. Wohlgenant, Michael K. & Mullen, John D., 1987. "Modeling The Farm-Retail Price Spread For Beef," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-7, December.
    195. Raymond Y. C. Tse, 1998. "Housing Price, Land Supply and Revenue from Land Sales," Urban Studies, Urban Studies Journal Limited, vol. 35(8), pages 1377-1392, July.
    196. Shroeder, Ted C. & Mintert, James R., 1988. "Hedging Feeder Steers And Heifers In The Cash-Settled Feeder Cattle Futures Market," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-11, December.
    197. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
    198. Yang, Yan-Hong & Shao, Ying-Hui, 2020. "Time-dependent lead-lag relationships between the VIX and VIX futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    199. Jae Kim, 2005. "Investigating the advertising-sales relationship in the Lydia Pinkham data: a bootstrap approach," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 347-354.
    200. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    201. Tkacz, Greg, 2001. "Neural network forecasting of Canadian GDP growth," International Journal of Forecasting, Elsevier, vol. 17(1), pages 57-69.
    202. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    203. Josea. Pagan & Sukhjit Sethi & Gokce Soydemir, 2001. "The impact of promotion/advertising expenditures on citrus sales," Applied Economics Letters, Taylor & Francis Journals, vol. 8(10), pages 659-663.
    204. Artem A. Eremin, 2014. "The Effect of Advertising on Economic Growth in the USA from a New Methodological Perspective," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 3-14.
    205. Li, Zeming & Sakkas, Athanasios & Urquhart, Andrew, 2022. "Intraday time series momentum: Global evidence and links to market characteristics," Journal of Financial Markets, Elsevier, vol. 57(C).
    206. Daniel J. Seger & David A. Lins & Michael A. Hudson, 1989. "Lead-lag relationships between interest rates, exchange rates, and agricultural exports to Japan," Agribusiness, John Wiley & Sons, Ltd., vol. 5(2), pages 169-179.
    207. Boyer, Marcel & Laffont, Jean-Jacques, 1987. "Une analyse économique de l’usage de faux prix réguliers en publicité," L'Actualité Economique, Société Canadienne de Science Economique, vol. 63(2), pages 153-168, juin et s.
    208. Jiazi Chen & Zhiwu Hong & Linlin Niu, 2022. "Forecasting Interest Rates with Shifting Endpoints: The Role of the Demographic Age Structure," Working Papers 2022-06-25, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    209. Dewenter, Ralf & Heimeshoff, Ulrich, 2016. "Predicting advertising volumes: A structural time series approach," DICE Discussion Papers 228, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    210. Thomas M. Fullerton & George Novela & David Torres & Adam G. Walke, 2015. "Metropolitan Econometric Electric Utility Forecast Accuracy," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 738-745.
    211. Natsuko Iwasaki & Barry Seldon & Victor Tremblay, 2008. "Brewing Wars of Attrition for Profit (and Concentration)," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 263-279, December.
    212. Al Awad, Mouawiya & Goodwin, Barry K., 1998. "Dynamic linkages among real interest rates in international capital markets," Journal of International Money and Finance, Elsevier, vol. 17(6), pages 881-907, December.
    213. Liam J. A. Lenten, 2009. "Unobserved Components in Competitive Balance and Match Attendances in the Australian Football League, 1945–2005: Where is all the Action Happening?," The Economic Record, The Economic Society of Australia, vol. 85(269), pages 181-196, June.
    214. Ekaterini Panopoulou, 2006. "The predictive content of financial variables: Evidence from the euro area," The Institute for International Integration Studies Discussion Paper Series iiisdp178, IIIS.
    215. Luigi Marattin, 2008. "The Impact Of Advertising On Aggregate Consumption: The Case Of Italy," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(3(5)_Fall), pages 223-231.
    216. Rehme, Günther & Weisser, Sara-Frederike, 2007. "Advertising, Consumption and Economic Growth: An Empirical Investigation," Darmstadt Discussion Papers in Economics 178, Darmstadt University of Technology, Department of Law and Economics.
    217. Hu, Beibei & Ding, Yang & Dong, Xianlei & Bu, Yi & Ding, Ying, 2021. "On the relationship between download and citation counts: An introduction of Granger-causality inference," Journal of Informetrics, Elsevier, vol. 15(2).
    218. Khosrow Doroodian & Barry J. Seldon, 1991. "Advertising and Cigarette Consumption," Eastern Economic Journal, Eastern Economic Association, vol. 17(3), pages 359-366, Jul-Sep.
    219. Insaf Bekir, 2015. "The Causal Relationship between IPR Infringement and Socio-economic Factors," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(12), pages 577-586, December.
    220. Ciner, Cetin, 2017. "Predicting white metal prices by a commodity sensitive exchange rate," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 309-315.
    221. Yan-Hong Yang & Ying-Hui Shao, 2019. "Time-dependent lead-lag relationships between the VIX and VIX futures markets," Papers 1910.13729, arXiv.org.
    222. Edgar Weissenberger & J. Thomas, 1983. "The causal role of money in West Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 119(1), pages 64-83, March.
    223. Lise Pichette, 2000. "Les effets réels du cours des actions sur la consommation," Staff Working Papers 00-21, Bank of Canada.
    224. Xie, Wen-Jie & Yong, Yang & Wei, Na & Yue, Peng & Zhou, Wei-Xing, 2021. "Identifying states of global financial market based on information flow network motifs," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    225. Thomas M. Fullerton Jr. & George Novela, 2010. "Metropolitan Maquiladora Econometric Forecast Accuracy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 124-140, September.
    226. Edvinsson, Rodney & Karlsson, Sune & Österholm, Pär, 2023. "Does Money Growth Predict Inflation? Evidence from Vector Autoregressions Using Four Centuries of Data," Working Papers 2023:3, Örebro University, School of Business.
    227. Moosa, Imad A. & Vaz, John, 2018. "Direct and Indirect Forecasting of Cross Exchange Rates," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 71(2), pages 173-190.
    228. Ma, Feng & Wei, Yu & Huang, Dengshi & Chen, Yixiang, 2014. "Which is the better forecasting model? A comparison between HAR-RV and multifractality volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 171-180.
    229. Imad Moosa & Kelly Burns, 2016. "The random walk as a forecasting benchmark: drift or no drift?," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4131-4142, September.
    230. Florkowski, Wojciech J. & Lai, Yue, 1997. "Cointegration Between Prices of Pecans and Other Edible Nuts: Forecasting and Implications," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35870, Western Agricultural Economics Association.
    231. Burns, Kelly & Moosa, Imad A., 2015. "Enhancing the forecasting power of exchange rate models by introducing nonlinearity: Does it work?," Economic Modelling, Elsevier, vol. 50(C), pages 27-39.
    232. Bryant, Henry L. & Haigh, Michael S., 2001. "Estimating Actual Bid-Ask Spreads In Commodity Futures Markets," 2001 Annual meeting, August 5-8, Chicago, IL 20707, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    233. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
    234. Ye, Haichun & Ashley, Richard & Guerard, John, 2015. "Comparing the effectiveness of traditional vs. mechanized identification methods in post-sample forecasting for a macroeconomic Granger causality analysis," International Journal of Forecasting, Elsevier, vol. 31(2), pages 488-500.
    235. Raymond Y.C. Tse & John Raftery, 2001. "The effects of money supply on construction flows," Construction Management and Economics, Taylor & Francis Journals, vol. 19(1), pages 9-17, January.
    236. Abbas, Shujaat & Sinha, Avik & Saha, Tanaya & Shah, Muhammad Ibrahim, 2023. "Response of mineral market to renewable energy production in the USA: Where lies the sustainable energy future," Energy Policy, Elsevier, vol. 182(C).
    237. Malik, Farooq & Nasereddin, Mahdi, 2006. "Forecasting output using oil prices: A cascaded artificial neural network approach," Journal of Economics and Business, Elsevier, vol. 58(2), pages 168-180.

  32. Ashley, Richard A. & Granger, Clive W. J., 1979. "Time series analysis of residuals from the St. Louis model," Journal of Macroeconomics, Elsevier, vol. 1(4), pages 373-394.

    Cited by:

    1. Chen, Dean T. & Bessler, David A., 1990. "Forecasting monthly cotton price: Structural and time series approaches," International Journal of Forecasting, Elsevier, vol. 6(1), pages 103-113.
    2. Holt, Matthew T. & Brandt, Jon A., 1985. "Forecasting Hog Prices Using Time Series Analysis Of Residuals," 1985 Annual Meeting, August 4-7, Ames, Iowa 278558, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. C. W. J. Granger, 1980. "Some Comments on the Role of Time-Series Analysis in Econometrics," NBER Chapters, in: Evaluation of Econometric Models, pages 339-341, National Bureau of Economic Research, Inc.

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