AGGREGATE PRICE LEVEL

This study tries to find out the determinants of the aggregate price and fit a parsimonious statistical model for aggregate price level in India. Two measures, namely, CPI and WPI are taken for aggregate price level. Several statistical models has been used including cointegration method. When regressions are performed with due care to non-stationarity, regression results are very poor. But this does not indicate that the variables are not related, but there is much stronger evidence on their relationship when cointegration techniques are used. This result is robust to both the measures of aggregate price levels and to all five different specifications of cointegration test. The statistical a-theoretic ARIMA models for aggregate price level are good enough. These two helps us to forecast future values of aggregate price level.

Autorentext

Nilanjan Patra se doctoró en la Universidad Jawaharlal Nehru (India) y cursó un máster en la Delhi School of Economics (DU). Sus áreas de investigación son la economía de la salud, las cuestiones de género, el desarrollo económico y el estudio regional. Sus trabajos de investigación se han publicado en varias revistas y volúmenes editados. Imparte clases en el Bangabasi Morning College de Calcuta (India).