Quantifying Structural Change in U.S. Agriculture: The Case of Research and Productivity

Previous work on structural change in agriculture has failed to distinguish long-run trends from structural breaks leading to new trends. We measure structural changes as statistically significant breaks in either stochastic or deterministic time trends, and apply these measures to agricultural productivity and research. Productivity has a break in 1925 accompanying agriculture's early experience with the Great Depression. Research trends shifted in 1930 as the Depression and new technology began to strongly influence efficient farm size and capitalization. After modeling lags between research and productivity impacts in a vector autoregression (VAR), we compare our results to earlier work by developing a procedure to estimate the rate of return to research from the impulse response function of the VAR.

[1]  P. Bottomley,et al.  The rate of return to public sector agricultural R&D in the UK, 1965–80 , 1989 .

[2]  P. Phillips.  Understanding spurious regressions in econometrics , 1986 .

[3]  Peter Schmidt,et al.  LM Tests for a Unit Root in the Presence of Deterministic Trends , 1992 .

[4]  Allan H. Meltzer,et al.  The Phillips curve and labor markets , 1976 .

[5]  David F. Hendry,et al.  Cointegration tests in the presence of structural breaks , 1996 .

[6]  W. Huffman,et al.  Structural Adjustment and Productivity Change in U.S. Agriculture, 1950-82 , 2001 .

[7]  R. Lucas.  Econometric policy evaluation: A critique , 1976 .

[8]  Colin Thirtle,et al.  COINTEGRATION, AND CAUSALITY: EXPLORING THE RELATIONSHIP BETWEEN AGRICULTURAL AND PRODUCTIVITY , 1994 .

[9]  G. Bradford.  Present Value Models and Investment Analysis , 1996 .

[10]  P. Pardey,et al.  Causal Relationships between Public Sector Agricultural Research Expenditures and Output , 1989 .

[11]  Christine Amsler,et al.  An LM Test for a Unit Root in the Presence of a Structural Change , 1995, Econometric Theory.

[12]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

[13]  Peter E. Kennedy.  A Guide to Econometrics , 1979 .

[14]  J. Chavas,et al.  A Nonparametric Analysis of the Influence of Research on Agricultural Productivity , 1992 .

[15]  Zvi Griliches,et al.  Issues in Assessing the Contribution of Research and Development to Productivity Growth , 1979 .

[16]  Jonathan D. Cryer,et al.  Time Series Analysis , 1986 .

[17]  P. Schmidt,et al.  Alternative methods of detrending and the power of unit root tests , 1996 .

[18]  Julian M. Alston,et al.  A meta-analysis of rates of return to agricultural R&D : ex pede Herculem? , 2000 .

[19]  D. Dickey,et al.  Testing for unit roots in autoregressive-moving average models of unknown order , 1984 .

[20]  W. Adamowicz,et al.  A Cointegration Analysis of Canadian Wood Pulp Prices , 1997 .

[21]  T. Vogelsang.  Unit Roots, Cointegration, and Structural Change , 2001 .

[22]  J. Antle.  The Structure of U.S. Agricultural Technology, 1910–78 , 1984 .

[23]  C. Nelson,et al.  Trends and random walks in macroeconmic time series: Some evidence and implications , 1982 .

[24]  W. Fuller,et al.  LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOT , 1981 .

[25]  Julian M. Alston,et al.  Dynamics in the creation and depreciation of knowledge, and the returns to research: , 1998 .

[26]  Yongcheol Shin,et al.  On stationary tests in the presence of structural breaks , 1997 .

[27]  B. Welch.  The structure , 1992 .

[28]  P. Phillips.  Testing for a Unit Root in Time Series Regression , 1988 .

[29]  P. Phillips,et al.  Asymptotic Properties of Residual Based Tests for Cointegration , 1990 .

[30]  C. Thraen,et al.  Investing in Research and Education versus Commodity Programs: Implications for Agricultural Productivity , 1999 .

[31]  Y. Khatri,et al.  PUBLIC RESEARCH AND DEVELOPMENT AS A SOURCE OF PRODUCTIVITY CHANGE IN SOUTH AFRICAN AGRICULTURE , 1996 .

[32]  C. Shumway,et al.  Research and Productivity in Mexican Agriculture , 1997 .

[33]  P. Perron,et al.  The Great Crash, The Oil Price Shock And The Unit Root Hypothesis , 1989 .

[34]  J. Stock,et al.  INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS , 1990 .

[35]  John W. Galbraith,et al.  Testing for a Unit Root , 1993 .

[36]  C. Granger,et al.  Spurious regressions in econometrics , 1974 .

[37]  P. Perron,et al.  Trends and random walks in macroeconomic time series : Further evidence from a new approach , 1988 .

[38]  Julian M. Alston,et al.  Unstable Models from Incorrect Forms , 1991 .

[39]  Arne Hallam,et al.  Size, Structure, And The Changing Face Of American Agriculture , 1993 .

[40]  B. Beattie.  Science Under Scarcity: Principles and Practice for Agricultural Research Evaluation and Priority Setting , 1995 .

[41]  S. Fan.  Research Investment and the Economic Returns To Chinese Agricultural Research , 2000 .

[42]  G. Brester,et al.  Structural Change in Factor Demand Relationships in the U.S. Food and Kindred Products Industry , 1995 .

[43]  Robert E. Evenson,et al.  Science for Agriculture: A Long-Term Perspective , 1993 .

[44]  TESTING THE INDUCED INNOVATION HYPOTHESIS USING COINTEGRATION ANALYSIS , 1995 .