Sankhya: The Indian Journal of Statistics
1996, Volume 58, Series B, Pt. 2, pp. 288--301
BREAKING TREND FUNCTION IN MACRO VARIABLES : THE CASE OF INDIA : 1900--1988
ANITA GHATAK, De Montford University
SUMMARY. This paper tests the hypothesis of difference stationarity of macroeconomic timeseries against the alternative of trend-stationarity with and without allowing for possible structural breaks. The methodologies used are that of Dicky and Fuller (1979) familiarised by Nelson and Plosser (1982) and of dummy variables familiarised by Perron (1989). The country chosen for this study is India during the period 1900-1988 for twelve macroeconomic variables and the breakpoints chosen are 1914 and 1939 due to the two World Wars, 1947 due to the political Independence and 1951 due to the introduction of economic planning in India. The conventional Dicky-Fuller methodology without allowing for structural breaks cannot reject the hypothesis of difference stationarity for any series. The years 1947 and 1951 made significant changes in the rates of growth of seven out of twelve series. Allowing for break in the level of the series leads to the rejection of the hypothesis of difference stationarity for three series after the year of independence.
AMS (1991) subject classification. C22.
Key words and phrases. Difference Stationarity, trend stationarity, structural breaks.
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