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Household Production and Consumption in Finland 2001

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8.2 Reliability ofresults<br />

The reliability of the results reported here can be assessed aga<strong>in</strong>st both the<br />

method <strong>and</strong> the datasets used. The value of household production has been<br />

determ<strong>in</strong>ed us<strong>in</strong>g the <strong>in</strong>put method, where the value of output is calculated as<br />

the sum of production costs. The most critical po<strong>in</strong>t is the determ<strong>in</strong>ation of<br />

the amount <strong>and</strong> value of labour. In this Satellite Account the amount of labour<br />

is determ<strong>in</strong>ed on the basis of the Time Use Survey. The figures are based on<br />

time spent <strong>in</strong> primary activities; secondary, simultaneous activities have not<br />

been <strong>in</strong>cluded because there has not yet been enough discussion about how<br />

they should be def<strong>in</strong>ed <strong>and</strong> valued. Another reason for the exclusion of<br />

secondary activities is that the reported figures tend to vary widely, <strong>and</strong> the<br />

results of the Time Use Survey have not been considered sufficiently reliable.<br />

The value of unpaid work depends also on the wage level applied <strong>in</strong><br />

valuation. For the present purposes we have used the gross wage of a generalist<br />

housekeeper/home helper, <strong>in</strong>clud<strong>in</strong>g holiday compensation. The wage is 9.99<br />

euros per hour. Other options would have been net wage <strong>and</strong> gross wage<br />

<strong>in</strong>clud<strong>in</strong>g employer contributions. Calculations based on these three different<br />

wage concepts are shown <strong>in</strong> Appendix 4. Instead of the wage of a generalist, it<br />

would be possible to use the wage of other employees with specialist skills.<br />

Producers of services compensat<strong>in</strong>g unpaid work <strong>in</strong>clude cooks, childm<strong>in</strong>ders,<br />

cleaners, office clerks, housekeepers, drivers, decorators, <strong>in</strong>terior designers,<br />

janitors, etc. The average wage level of specialist employees is pretty close to<br />

that of the housekeeper, so it is unlikely that this change would have had very<br />

much impact on the results. By contrast the difference between net <strong>and</strong> gross<br />

wages is considerably bigger.<br />

Furthermore, the reliability of these results can be weighed aga<strong>in</strong>st the<br />

reliability of the data used as well as aga<strong>in</strong>st their applicability to the<br />

measurement of household production. The datasets used here were Statistics<br />

F<strong>in</strong>l<strong>and</strong>’s Time Use Survey, the <strong>Household</strong> Budget Survey <strong>and</strong> national<br />

accounts data. The time use data were from 1999–2000; for the present<br />

purposes we have consulted the data at household level (Appendix 1). A more<br />

detailed account of how these data were compiled is given <strong>in</strong> Appendix 2 of<br />

the report on Time Use <strong>in</strong> Families (Väisänen 2005; <strong>in</strong> F<strong>in</strong>nish). The<br />

<strong>Household</strong> Budget Survey is from <strong>2001</strong>–2002. A more detailed description of<br />

this dataset <strong>and</strong> the methods employed is provided <strong>in</strong> Statistics F<strong>in</strong>l<strong>and</strong>’s<br />

quality statement (Statistics F<strong>in</strong>l<strong>and</strong> 2004).<br />

The samples of all these datasets were considered adequate for purposes of<br />

classify<strong>in</strong>g households <strong>in</strong>to different types. S<strong>in</strong>gle-parent households were kept<br />

<strong>in</strong>tact as a s<strong>in</strong>gle category, without divid<strong>in</strong>g them <strong>in</strong>to groups accord<strong>in</strong>g to the<br />

age of the youngest child. This was for reasons of ensur<strong>in</strong>g an adequate sample<br />

size.<br />

National Consumer Research Centre Statistics F<strong>in</strong>l<strong>and</strong> 71

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