Overview
The Consumer Price Index (CPI) plays a key role in the Bank of Canada's conduct of monetary policy.
In 1991, the Bank of Canada and the Government of Canada jointly established an inflationtargeting framework for the conduct of monetary policy. This framework is reviewed every five years, with the most recent renewal occurring in October 2016. Based on this framework, the Bank of Canada conducts monetary policy aimed at keeping inflation, as measured by the change in the Allitems CPI, at 2 per cent, the midpoint of an inflationcontrol range of 1 to 3 per cent.
To help it achieve this target, the Bank of Canada uses a set of measures of core inflation. The purpose of these measures is to capture persistent price movements by eliminating transitory or sectorspecific fluctuations in some components of the CPI. From 2001 until the most recent renewal of the inflation control target, the Bank of Canada's focal measure of core inflation was the Allitems CPI excluding eight of its most volatile components (as defined by the Bank of Canada) as well as the effect of changes in indirect taxes on the remaining components (CPIX). For more information, see the Bank of Canada Review article (Macklem (2001)).
As discussed in the Renewal of the InflationControl Target – Background Information, the Bank of Canada has identified three preferred measures of core inflation to help assess underlying inflation in Canada.^{Note 1} The Bank of Canada chose these three measures based primarily on analysis conducted in 2015 by its researchers (Khan, Morel and Sabourin (2015)). While the Bank's emphasis will be on these three measures, Statistics Canada will continue to calculate and publish CPIX.
Although no measure of core inflation was superior across all the evaluation criteria, three measures showed the best performance. Based on the results of this analysis, the Bank of Canada decided to change its approach by jointly using all three measures: i) a measure based on the trimmed mean (CPItrim); ii) a measure based on the weighted median (CPImedian); and, iii) a measure based on the common component (CPIcommon). For more information on how the three measures were chosen, see the background document on the renewal of the inflationcontrol target (Bank of Canada (2016)). In the rest of this document, we will present detailed information on the methodologies and data used to produce these measures of core inflation.^{Note 2}
Reference period
These measures are expressed as a yearoveryear percentage change (i.e., comparing any month in a given year to the same month in the previous year). Accordingly, they are not available in the form of an index level and do not have a reference period (e.g., 2002=100).
Data sources and methodologies
The three preferred measures of core inflation are computed by Statistics Canada using data from the CPI Survey. For more information on the data sources, error detection, imputation rules, estimation and calculation of price indexes, quality evaluation of the data collected, and data disclosure control for the CPI survey, see the description of this survey. Below, we will describe the CPI data used and the methods for calculating these three measures of core inflation.
The three measures require historical series of consumer price indexes based on the disaggregation of the Allitems CPI into a fixed number of components. These components are exhaustive and mutually exclusive. Therefore, the sum of their respective weights in the CPI basket is equal to 100. These measures are based on a 55component disaggregation of the CPI basket; a complete list of these components is provided in Table A1 in the appendix of this document. These historical series are available on a monthly basis. Owing to data limitations, these 55 components are calculated since January 1989.^{Note 3} Since we use price indexes calculated at the national level, the three measures are only calculated at that level of detail.
The consumer price indexes of the 55 components are first adjusted to remove the effect of changes in indirect taxes.
Measure of core inflation based on the trimmed mean (CPItrim)
CPItrim excludes from the 55 components those whose monthly rates of change in the CPI are located in the tails of the distribution of the monthly rates of change of all the price indexes in a given month. This measure is calculated as a weighted arithmetic average of the price changes of the nonexcluded components. The weight of a component corresponds to its weight in the CPI basket at the basket link month. The procedure for calculating CPItrim every month can be described as follows.
Step 1: The historical series of price indexes for the 55 components, adjusted to remove the effect of changes in indirect taxes, are seasonally adjusted. For more information on the seasonal adjustment methodology, see the "Revisions and seasonal adjustment" section below.
Step 2: We obtain the distribution of all monthly inflation rates calculated for the 55 components based on the percentage changes in price indexes for the current month versus those for the previous month. These monthly inflation rates are then sorted in ascending order (i.e., from lowest to highest). By ranking all the components' weights and monthly inflation rates together in this order, components with the lowest inflation rates are excluded, which accounts for 20 per cent^{Note 4} of the total CPI basket. The same process is used to exclude components with the highest inflation rates, up to 20 per cent^{Note 5} of the basket.
Step 3: We calculate a monthly trimmed inflation rate, ${\text{CPItrim}}_{t}^{m/m}$, defined as the weighted arithmetic average of monthly inflation rates for components not excluded in Step 2, which make up 60 per cent of the total CPI basket. The weight of the excluded components will always be 40 per cent of the total CPI basket, but the excluded components are not necessarily the same from month to month.
Step 4: We produce the annual inflation rate for a given month, ${\text{CPItrim}}_{t}^{y/y}$, using the cumulative monthly trimmed inflation rates for the 12month period ending in the current month. The following formula is used for this purpose:
$${\text{CPItrim}}_{t}^{y/y}=\left(\left(1+\frac{{\text{CPItrim}}_{t11}^{m/m}}{100}\right)\times \left(1+\frac{{\text{CPItrim}}_{t10}^{m/m}}{100}\right)\times \dots \times \left(1+\frac{{\text{CPItrim}}_{t}^{m/m}}{100}\right)1\right)\times 100.$$
In other words, the annual inflation rate, ${\text{CPItrim}}_{t}^{y/y}$, measured for a given month $t$ is calculated as the cumulative monthly trimmed inflation rates over the 12month period ending in month $t$.
Measure of core inflation based on the weighted median (CPImedian)
CPImedian represents, for a given month, the price change corresponding to the 50th percentile (in terms of CPI basket weights) of the distribution of price changes of the 55 components. As with CPItrim, the weight of a component is represented by its weight in the CPI basket at the basket link month. The method for processing data for the CPImedian is similar to that for CPItrim. The procedure for calculating CPImedian every month can be described as follows.
Step 1: The historical series of price indexes for the 55 components, adjusted to remove the effect of changes in indirect taxes, are seasonally adjusted. For more information on the seasonal adjustment methodology, see the "Revisions and seasonal adjustment" section below.
Step 2: We obtain the distribution of all monthly inflation rates calculated for the 55 components based on the percentage changes in price indexes for the current month versus those for the previous month. These monthly inflation rates are then sorted in ascending order (i.e., from lowest to highest). By ranking all the components' weights and inflation rates together in this order, we identify the monthly inflation rate located at the 50th percentile^{Note 6} (in terms of CPI basket weights) of the distribution of the monthly inflation rates for the 55 components. This value represents the monthly inflation rate based on the weighted median, ${\text{CPImedian}}_{t}^{m/m}$. The component corresponding to the weighted median value is not necessarily the same from month to month. This approach is similar to that for CPItrim because it eliminates all the weighted monthly price variations at both the bottom and top of the distribution of price changes in any given month, except the price change for the component that is the midpoint of that distribution.
Step 3: We produce the annual inflation rate, ${\text{CPImedian}}_{t}^{y/y}$, for a given month, using the cumulative monthly inflation rates based on the weighted median for the 12month period ending in the current month. The following formula is used for this purpose:
$${\text{CPImedian}}_{t}^{y/y}=\left(\left(1+\frac{{\text{CPImedian}}_{t11}^{m/m}}{100}\right)\times \left(1+\frac{{\text{CPImedian}}_{t10}^{m/m}}{100}\right)\times \dots \times \left(1+\frac{{\text{CPImedian}}_{t}^{m/m}}{100}\right)1\right)\times 100.$$
In other words, the value of the annual inflation rate, ${\text{CPImedian}}_{t}^{y/y}$, in a given month $t$ is calculated as the cumulative monthly inflation rates based on the weighted median over the 12month period ending in month $t$.
Measure of core inflation based on the common component (CPIcommon)
CPIcommon is a measure that tracks common price changes across the 55 components in the CPI basket.
As with CPItrim and CPImedian, the input data for CPIcommon are the CPI series for the 55 components adjusted to remove the effect of changes in indirect taxes. In addition, we use the historical series of the Allitems CPI adjusted to remove the effect of changes in indirect taxes to scale CPIcommon to the inflation rate. Unlike CPItrim and CPImedian, this measure is based on yearoveryear percentage changes in price indexes. Therefore, the price index series are not seasonally adjusted when calculating CPIcommon.
This measure is based on a factor model. Factor models are statistical methods that represent the variation in a set of variables as the sum of one or more factors representing comovements across variables and an idiosyncratic term capturing the part unexplained by this (those) common factor(s). In the context of estimating core inflation, these models are used to separate the common source underlying the changes in CPI series from idiosyncratic elements that are related to sectorspecific events (Khan, Morel and Sabourin (2013)).^{Note 7} For each of the 55 components, $i=1,2,\mathrm{...},55$, the model is written as follows (in the case of one common factor):
$${\pi}_{i,t}={\Lambda}_{i}{F}_{t}+{\epsilon}_{i,t};\text{}i=1,2,\mathrm{...},55;\text{}t=1,2,\mathrm{...},T,$$
where $T$ represents the total number of time periods available, ${\pi}_{i,t}$ represents the inflation rate of component $i$ for the period $t$, which is related to the common factor ${F}_{t}$ through factor loading ${\Lambda}_{i}$, and ${\epsilon}_{i,t}$ is an idiosyncratic error term representing sectorspecific disturbances that are uncorrelated with the common factor. In this model, the measure of core inflation is then defined as follows:
$${\tilde{\pi}}_{t}=\Lambda {F}_{t}\text{,}$$
where $\Lambda $ is the matrix of factor loadings. For more information, see Khan et al. (2013).
In practice, CPIcommon is calculated using the entire historical data of price index series and by following the steps below.
Step 1: We calculate annual inflation rates for the 55 components and for the Allitems CPI excluding the effect of changes in indirect taxes. In a given month, the annual inflation rate for a given component is defined as the yearoveryear percentage change in the price index for that month.
Step 2: The historical series of annual inflation rates for the 55 components are standardized. In other words, the historical series of annual inflation rates for each component is centred with respect to its average and then divided by its standard deviation.
Step 3: A factor model is estimated using data from the 55 historical series of annual standardized inflation rates. The principal components method is used for this purpose (Stock and Watson (2002a, 2002b)). This method involves creating 55 new variables, called principal components, each explaining a fraction of the variation found in all 55historical series of annual inflation rates. The first principal component, which is associated with the highest eigenvalue, is the one that best explains the variation in the 55 historical series of annual inflation rates over the entire observation period. Only the first principal component is used in calculating CPIcommon.^{Note 8}
Step 4: The final step is to scale the first principal component to the inflation rate. The measure of core inflation based on the common component, CPIcommon, is defined and calculated as the series of predicted values from the simple linear regression of the annual inflation rates of the Allitems CPI excluding the effect of changes in indirect taxes (obtained in Step 1) on an intercept and on the first principal component calculated in Step 3.
Since CPIcommon is based on a factor model, a standardization and a linear regression requiring all data available, the historical values for this measure are subject to revisions. An analysis of the magnitude of the revisions, reported in a Bank of Canada's Staff Working Paper (Khan et al. (2013)), suggests that revisions are relatively negligible.
Revisions and seasonal adjustment
These three measures of core inflation, CPItrim, CPImedian and CPIcommon, are subject to revision. For CPImedian and CPItrim, this results from the fact that these measures are based on seasonally adjusted price index series. For CPIcommon, revisions are due to the statistical technique used as the factor model is estimated over all available historical data.
When Statistics Canada introduces the CPItrim and CPImedian measures in its November 2016 CPI release, 44 of the 55 historical series will be identified as seasonally adjusted, whereas others do not present any identifiable seasonal pattern. Since the technical parameters for seasonal adjustment are updated once a year, the number of series that are seasonally adjusted may change in the future depending on the historical series available that have (or do not have) an identifiable seasonal pattern. As with other CPI series, the approach used for seasonal adjustment involves each series to be seasonally adjusted separately. For more information, see the section "Revisions and seasonal adjustment" in the CPI detailed information document.
The seasonally adjusted CPI series are subject to revision. Every month, the seasonally adjusted data for the previous seven years are revised.^{Note 9} However, the models underlying the seasonal adjustment procedure are regularly revisited; as a result, they will be revised and updated when necessary.
Data accuracy
As with the CPI in general, statistical reliability is difficult to evaluate for the three preferred measures of core inflation. First, a statistical reliability indicator is not available for the price index series used as inputs to these measures. In addition, calculating these measures is complex, which makes it more difficult to evaluate their statistical reliability. For more information on the evaluation of the CPI data accuracy, see this Statistics Canada publication. In practice, since the three measures are based on price index series calculated at the national level, their level of accuracy should be relatively comparable to that of Allitems CPI.
References
Bank of Canada. 2016. Renewal of the InflationControl Target—Background Information—October 2016. Ottawa. Bank of Canada.
Khan, M., L. Morel and P. Sabourin. 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada", Bank of Canada Staff Working Paper No. 201335.
Khan, M., L. Morel and P. Sabourin. 2015. "A Comprehensive Evaluation of Measures of Core Inflation for Canada", Bank of Canada Staff Discussion Paper No. 201512.
Macklem, T. 2001. "A New Measure of Core Inflation", Bank of Canada Review, Autumn 2001, pp. 312.
Statistics Canada, Consumer Price Index (CPI), Detailed information document, monthly frequency. Ottawa. Statistics Canada.
Stock, J. H. and M. W. Watson. 2002a. "Macroeconomic Forecasting Using Diffusion Indexes", Journal of Business and Economic Statistics, 20, pp. 14762.
Stock, J. H. and M. W. Watson. 2002b. "Forecasting Using Principal Components from a Large Number of Predictors", Journal of the American Statistical Association, 97, pp. 116779.
Appendix
Category number  Category description 

01  Meat 
02  Fish, seafood and other marine products 
03  Dairy products and eggs 
04  Bakery and cereal products (excluding baby food) 
05  Fruit, fruit preparations and nuts 
06  Vegetables and vegetable preparations 
07  Other food products and nonalcoholic beverages 
08  Food purchased from restaurants 
09  Rented accommodation 
10  Mortgage interest cost 
11  Homeowners' replacement cost 
12  Property taxes and other special charges 
13  Homeowners' home and mortgage insurance 
14  Homeowners' maintenance and repairs 
15  Other owned accommodation expenses^{Footnote *} 
16  Electricity 
17  Water 
18  Natural gas 
19  Fuel oil and other fuels 
20  Communications 
21  Child care and housekeeping services 
22  Household cleaning products 
23  Paper, plastic and aluminum foil supplies 
24  Other household goods and services 
25  Furniture 
26  Household textiles 
27  Household equipment 
28  Services related to household furnishings and equipment 
29  Clothing 
30  Footwear 
31  Clothing accessories, watches and jewellery 
32  Clothing material, notions and services 
33  Purchase of passenger vehicles 
34  Leasing of passenger vehicles^{Footnote *} 
35  Rental of passenger vehicles 
36  Gasoline 
37  Passenger vehicle parts, maintenance and repairs 
38  Other passenger vehicle operating expenses 
39  Local and commuter transportation 
40  Intercity transportation 
41  Health care goods 
42  Health care services 
43  Personal care supplies and equipment 
44  Personal care services 
45  Recreational equipment and services (excluding recreational vehicles) 
46  Purchase of recreational vehicles and outboard motors 
47  Operation of recreational vehicles 
48  Home entertainment equipment, parts and services 
49  Travel services 
50  Other cultural and recreational services 
51  Education 
52  Reading material (excluding textbooks) 
53  Alcoholic beverages served in licensed establishments 
54  Alcoholic beverages purchased from stores 
55  Tobacco products and smokers' supplies 
