Integration And Causality In International Freight Markets--Modeling With Error Correction And Directed Acyclic Graphs
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- Michael S. Haigh & Nikos K. Nomikos & David A. Bessler, 2004. "Integration and Causality in International Freight Markets: Modeling with Error Correction and Directed Acyclic Graphs," Southern Economic Journal, Southern Economic Association, vol. 71(1), pages 145-162, July.
References listed on IDEAS
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- Selva Demiralp & Kevin D. Hoover & Stephen J. Perez, 2008.
"A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression,"
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Department of Economics, University of Oxford, vol. 70(4), pages 509-533, August.
- Kevin Hoover & Selva Demiralp & Stephen J. Perez, 2006. "A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression," Working Papers 614, University of California, Davis, Department of Economics.
- Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
- repec:pal:marecl:v:19:y:2017:i:2:d:10.1057_s41278-016-0053-5 is not listed on IDEAS
- Delphine Lautier & Franck Raynaud & Michel Robe, 2017. "Shocks propagation across the futures term structure : evidence from crude oil prices," Post-Print hal-01781765, HAL.
- Peterson, Steven K. & Jessup, Eric L., 2007. "Transportation Infrastructure And Economic Activity: Evidence Using Vector Autoregression, Error Correction And Directed Acyclic Graphs," 48th Annual Transportation Research Forum, Boston, Massachusetts, March 15-17, 2007 207917, Transportation Research Forum.
More about this item
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
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