ECONOMIC CLASSIFICATION OF PRIVATE SUBSIDIARY FARMS AS A BASIS FOR IMPROVING CURRENT OBSERVATION METHOD

Abstract

This article presents the analysis of methodological framework for sample survey of private subsidiary farms in 2011-2016. The author points out main shortcomings of the sampling method and errors that they led to. The paper proposes an observation method for private subsidiary farms calculated on the basis of standardized revenue.

In 2009 on the basis of data from the 2006 All-Russia Agricultural Census, the author together with his colleagues developed the technique and classified all types of farms that participated in the Census based on standardized revenue estimates. This work resulted not only in several suggestions related to farm classification but also in methodological considerations on the estimation of the volume of standardized revenue that will allow assessing the economic performance of farms until official statistics starts estimating and subsequently publishing data on revenue characteristics of the selected groups of farms or classes.

The author argues that the effect of an individual group on the general standard error for a stratified sample will be significantly less with a relatively small increase in stratified groups, and consequently the value of the average in the sample will be closer to its true value in the statistical population.