Premium
MEASURING HOUSEHOLD ACTIVITIES: SOME INTERNATIONAL COMPARISONS
Author(s) -
Chadeau Ann
Publication year - 1985
Publication title -
review of income and wealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 57
eISSN - 1475-4991
pISSN - 0034-6586
DOI - 10.1111/j.1475-4991.1985.tb00511.x
Subject(s) - economics , work (physics) , variety (cybernetics) , value (mathematics) , national accounts , production (economics) , process (computing) , econometrics , assertion , public economics , macroeconomics , computer science , engineering , mechanical engineering , machine learning , artificial intelligence , programming language , operating system
This paper focusses on macroeconomic approaches to the measurement of non‐market household work or production in industrialised countries. It details the variety of parameters involved, the choice of which depends on the specific aim pursued by authors. A review of different aims pursued, parameters chosen, concepts used, alternative methods applied, and available statistical data is presented and results of evaluations are then compared. The money value of household activities is given in percentage of GNP and comparisons are made within the framework of similar approaches. Under this condition, results are remarkably consistent. At the same time, the paper shows how sensitive results are to the method used; it also puts emphasis on the lack of adequate statistical data which may be held responsible for a gap between the theoretical model of evaluation and its practical implementation. In the present state of knowledge, no definite assertion can be made on the time trend of household work and its money value as percentage of GNP or national income. The paper stresses the importance availability of data on the volume and nature of non‐market household output would have for future research on the economic contribution of households in industrialised as well as in developing countries. Such data permitting an output approach to measurement would lead to better understanding of the interrelation between market and household sectors and would therefore improve economic analysis and forecasting. Adequate statistical data could possibly be collected through a process similar to that used for time use data in national surveys.