ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

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Estimates of Value Added per Worker from Enterprise Surveys

Cross-validation of data collected on various parameters, through independent sets of data from alternative sources, is desirable as it enhances data credibility and enthuses confidence among data users. Such an exercise for estimates of household consumption expenditure from the consumption expenditure surveys (CES) of the National Sample Survey Organisation (NSSO) and National Accounts Statistics (NAS) is available in the literature. A similar exercise for the estimates of value added per worker derived from the results of Enterprise Surveys. The non-availability of information on value added per worker through more than one source is the reason for the paucity of such exercises. An attempt has been made in this paper to examine the feasibility of using estimates of per worker consumption expenditure available from the CES 1993-94, in which information on the activity status of members of the same households was also collected.

Agriculture in the National Accounts-Gaps in the Information System

Gaps in the Information System A C Kulshreshtha Ramesh Kolli Gulab Singh While the data base on the agriculture sector is relatively adequate in certain areas, new and emerging areas of production and methods of cultivation have prompted the need for more substantial and accurate data. This paper highlights the data requirements and existing data gaps in agriculture and livestock sectors.

Domestic Product by Gender in the Framework of 1993 SNA

Framework of 1993 SNA A C Kulshreshtha Gulab Singh This paper attempts (i) to examine the production boundary in the 1993 SNA from the point of view of capturing the activities of women in the estimation of domestic product, (ii) to measure housewives' services in the concept of Extended Net Domestic Product and in the satellite accounts provided in the 1993 SNA framework and (iii) to estimate the share of women in the Extended NDP. Concepts, data availability and gaps in it for estimating domestic product by gender are also discussed.
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