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Producer Price Index Manual: Theory and Practice ... - METAC

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<strong>Producer</strong> <strong>Price</strong> <strong>Index</strong> <strong>Manual</strong><br />

J. Seasonal Products<br />

1.168 As explained in Chapter 22, the existence<br />

of seasonal products poses some intractable problems<br />

<strong>and</strong> serious challenges for PPI compilers <strong>and</strong><br />

users. Seasonal products are products that are either:<br />

• Not available during certain seasons of the<br />

year, or<br />

• Are available throughout but their prices or<br />

quantities are subject to regular fluctuations<br />

that are synchronized with the season or time of<br />

the year.<br />

1.169 There are two main sources of seasonal<br />

fluctuations: the climate <strong>and</strong> custom. Month-tomonth<br />

movements in a PPI may sometimes be so<br />

dominated by seasonal influences that it is difficult<br />

to discern the underlying trends in prices. Conventional<br />

seasonal adjustment programs may be applied,<br />

but these may not always be satisfactory.<br />

However, the problem is not confined to interpreting<br />

movements in the PPI; seasonality creates serious<br />

problems for the compilation of a PPI when<br />

some of the products in the basket regularly disappear<br />

<strong>and</strong> reappear, thereby breaking the continuity<br />

of the price series from which the PPI is built up.<br />

There is no panacea for seasonality. A consensus on<br />

what is best practice in this area has not yet been<br />

formed. Chapter 22 examines a number of different<br />

ways in which the problems may be tackled using<br />

an artificial data set to illustrate the consequences<br />

of using different methods.<br />

1.170 One possibility is to exclude seasonal products<br />

from the index, but this may be an unacceptable<br />

reduction in the scope of the index, since seasonal<br />

products can account for a significant proportion<br />

of total household consumption. Assuming<br />

seasonal products are retained, one solution is to<br />

switch the focus from month-to-month movements<br />

in the index to changes between the same month in<br />

successive years. In some countries, it is common<br />

for the media <strong>and</strong> other users, such as central banks,<br />

to focus on the annual rate of inflation between the<br />

most recent month <strong>and</strong> the same month in the previous<br />

year. This year-over-year figure is much easier<br />

to interpret than month-to-month changes, which<br />

can be somewhat volatile, even in the absence of<br />

seasonal fluctuations.<br />

1.171 This approach is extended in Chapter 22 to<br />

the concept of a rolling year-on-year index that<br />

compares the prices for the most recent 12 months<br />

with the corresponding months in the price reference<br />

year. The resulting rolling-year indices can be<br />

regarded as seasonally adjusted price indices. They<br />

are shown to work well using the artificial data set.<br />

Such an index can be regarded as a measure of inflation<br />

for a year that is centered around a month<br />

that is six months earlier than the last month in the<br />

rolling index. For some purposes, this time lag may<br />

be disadvantageous, but in Section F of Chapter 22<br />

it is shown that under certain conditions the current<br />

month year-over-year monthly index, together with<br />

the previous month’s year-over-year monthly index,<br />

can successfully predict the rolling-year index that<br />

is centered on the current month. Of course, rollingyear<br />

indices <strong>and</strong> similar analytic constructs are not<br />

intended to replace the monthly or quarterly PPI but<br />

to provide supplementary information that can be<br />

extremely useful to users. They can be published<br />

alongside the official PPI.<br />

1.172 Various methods of dealing with the breaks<br />

in price series caused by the disappearance <strong>and</strong> reappearance<br />

of seasonal products are examined in<br />

Chapter 22. However, this remains an area in which<br />

more research needs to be done.<br />

K. Concepts, Scope, <strong>and</strong> Classifications<br />

1.173 The purpose of Chapter 3 of the <strong>Manual</strong> is<br />

to define <strong>and</strong> clarify a number of basic concepts<br />

underlying a PPI <strong>and</strong> to explain the scope, or domain,<br />

of the index: that is, the set of products <strong>and</strong><br />

economic activities that the index is intended to<br />

cover. The chapter also discusses the various price<br />

concepts <strong>and</strong> types of prices that are used in PPI<br />

compilation <strong>and</strong> examines the structure of the classification<br />

systems used in the PPI for products <strong>and</strong><br />

industries.<br />

1.174 The general purpose of an index of producer<br />

prices is to measure changes in the prices of<br />

goods <strong>and</strong> services produced by businesses. However,<br />

an operational definition of a PPI requires a<br />

decision about, first, whether the index will cover<br />

output prices or input prices (or both); second,<br />

whether the index is meant to cover all production,<br />

that is, all economic activities <strong>and</strong>/or products, or<br />

just particular industries <strong>and</strong>/or product groups;<br />

third, for the economic activities included, whether<br />

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