Goodwin, Barry K. and Holt, Matthew T. and Prestemon, Jeffery P. (2008): The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach.
Preview |
PDF
MPRA_paper_9684.pdf Download (1MB) | Preview |
Abstract
Market price dynamics for North American oriented strand board markets are examined. Specifically, the role of transactions costs are examined vis–`a–vis the law of one price. Weekly data for the January 3rd, 1995 through April 14th, 2006 period are used in the analysis. Nonlinearities induced by unobservable transactions costs are modeled by estimating smooth transition autoregressions (STARs). Results indicate that nonlinearity is an important feature of these markets and that the parity relationships implied by economic theory are generally supported by the STAR models. Implications for the efficiency of spatial market linkages are examined by estimating generalized impulse response functions.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach |
Language: | English |
Keywords: | Law of one price, Oriented strand board, Nonlinear model; Smooth transition autoregression;Unit root tests |
Subjects: | Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q23 - Forestry C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E30 - General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 9684 |
Depositing User: | Matthew T. Holt |
Date Deposited: | 24 Jul 2008 10:33 |
Last Modified: | 27 Sep 2019 14:29 |
References: | Davies, R.B. (1977), “Hypothesis Testing when a Nuisance Parameter is Present Only Under the Alternative.” Biometrika, 64, 247–254. Davies, R.B. (1987), “Hypothesis Testing when a Nuisance Parameter is Present Only Under the Alternative.” Biometrika, 74, 33–43. Eitrheim, Ø. and T. Ter¨asvirta (1996), “Testing the Adequacy of Smooth Transition Autoregressive Models.” Journal of Econometrics, 74, 59–75. Eklund, B. (2003), “Testing the Unit Root Hypothesis against the Logistic Smooth Transition Autoregressive Model.” Working Paper Series in Economics and Finance No. 546, Stockholm School of Economics, November. Goodwin, B.G., T. Grennes, and L.A. Craig (2002), “Mechanical Refrigeration and the Integration of Perishable Commodity Markets.” Explorations in Economic History, 38, 154–182. Goodwin, B.G., and N.E. Piggott (2001), “Spatial Market Integration in the Presence of Threshold Effects.” American Journal of Agricultural Economics, 83, 302–317. Hansen, B.E. (1996), “Inference When a Nuisance Parameter is not Identified Under the Null Hypothesis.” Econometrica, 64, 413–430. Holt, M.T. and L.A. Craig (2006), “Nonlinear Dynamics and Structural Change in the U.S. Hog–Corn Cycle: A Time–Varying STAR Approach.” American Journal of Agricultural Economics, 88, 215–233. Jarque, C.M. and A.K. Bera (1980), “Efficient Tests for Normality, Homoskedasticity and Serial Independence of Regression Residuals.” Economics Letters, 6, 255–259. Kilian, L. and M.P. Taylor (2003), “Why Is It so Difficult to Beat the Random Walk Forecast of Exchange Rates.” Journal of International Economics, 60, 85–107. Kahn, E.J. Jr. (1984), The Staffs of Life. Boston: Little, Brown and Company. Komlos, J. (1996), “Anomalies in Economic History: Toward a Resolution of the ’Antebellum Puzzle’.” Journal of Economic History, 56, 202–214. Kuransky, M. (2002), Salt: A World History. New York: Walker and Company. Lin, C.-F. J. and T. Ter¨asvirta (1994), “Testing the Constancy of Regression Parameters Against Continuous Structural Change.” Journal of Econometrics, 62, 211–228. 20 Lomnicki, Z.A. (1961), “Test for the Departure From Normality in the Case of Linear Stochastic Processes.” Metrika, 4, 37–62. Lundbergh. S., and T. Ter¨asvirta (1998), “Modelling Economic High-Frequency Time Series with STAR–GARCH Models.” Working Paper Series in Economics and Finance No. 291, Stockholm School of Economics, December. Lundbergh, S., T. Ter¨asvirta and D. van Dijk (2003), “Time–Varying Smooth Transition Autoregressive Models.” Journal of Business and Economic Statistics, 21, 104–121. Luukkonen, R., P. Saikkonen, and T. Ter¨asvirta (1988), “Testing Linearity Against Smooth Transition Autoregressive Models.” Biometrika, 75, 491–499. O’Rourke, K.H. (1997), “The European Grain Invasion, 1870–1913.” Journal of Economic History, 57, 775–801. O’Rourke, K.H. and J.G. Williamson (2002), “When did Globalisation Begin?” European Review of Economic History, 6, 23–50. Parker, R.E. and P. Rothman (1996), “Further Evidence on the Stabilization of Postwar Economic Fluctuations.” Journal of Macroeconomics, 18, 289–298. Rasmussen, W.D. (ed.) (1960), Readings in the History of American Agriculture. Urbana, IL: University of Illinois Press. Romer, C.D. (1989), “The Prewar Business Cycle Reconsidered: New Estimates of Gross National Product, 1869–1908.” Journal of Political Economy, 97, 1–37. Salvador, R.J. (1997), “Maize,” in M.S. Werner, ed. The Encyclopedia of Mexico: History, Culture, and Society. Chicago: Fitzroy Dearborn Publishers. Shannon, F. (1945), The Farmer’s Last Frontier: Agriculture, 1860–1897. New York: Farrar and Rinehart. Skalin, J. and T. Ter¨asvirta (2002), “Modeling Asymmetries and Moving Equilibria in Unemployment Rates.” Macroeconomic Dynamics, 6, 202–241. Stock, J.H. and M.W. Watson (1996), “Evidence on Structural Instability in Macroeconomic Time Series Relations.” Journal of Business and Economic Statistics, 14, 11–30. Stone, J.R.N. (1954), The Measurement of Consumer Expenditures and Behaviour in the United Kingdom, 1920-1938. Cambridge: Cambridge University Press. 21 Ter¨asvirta, T. (1994), “Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models.” Journal of the American Statistical Association, 89, 208–218. van Dijk, D. and P.H. Franses (1999), “Modeling Multiple Regimes in the Business Cycle.” Macroeconomic Dynamics, 3, 311–340. van Dijk, D., T. Ter¨asvirta, and P.H. Franses (2002), “Smooth Transition Autoregressive Models–A Survey of Recent Developments.” Econometric Reviews, 21, 1–47. van Dijk, D., B. Strikholm, and T. Ter¨asvirta (2003), “The Effects of Institutional and Technological Change and Business Cycle Fluctuations on Seasonal Patterns in Quarterly Industrial Production Series.” Econometrics Journal, 6, 79–98. Watson, M.W. (1994), “Business Cycle Durations and Postwar Stabilization of the U.S. Economy.” American Economic Review, 84, 24–26. Wilder, L.I. (1971), Little House in the Big Woods. New York: Harper Row. 22 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/9684 |
Available Versions of this Item
- The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach. (deposited 24 Jul 2008 10:33) [Currently Displayed]