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Several charts and tables are presented related to retail trade in Canada as of January 2014 including the chart showing the seasonally adjusted and chained retail sales from 2009-2014, the charts for seasonally adjusted sales in furniture and home furnishings stores, and the table for seasonally adjusted retail sales by North American Industry Classification System (NAICS) and by region from October 2013 to January 2014. more...

Presents quarterly estimates of retail sales that has not been seasonally adjusted in various provinces and territories in Canada as of July 2003. Estimation of retail sales for the first and second quarter of the year 2003 in the nation; Data for sales in various food stores in New Brunswick; Information on retail sales in Nova Scotia. more...

Presents quarterly estimates of retail trade in Canada, seasonally adjusted by trade groups and by regions, as of November 2002. Total quarterly sales of Newfoundland in the fiscal 2002; Trend observed in sales of motor vehicles and recreational vehicles in the last three quarters of fiscal 2002. more...

The article offers information on the estimation of seasonal and trend-cycle components of the Monthly Retail Trade Survey in Canada. Topics mentioned include the main components of socio-economic time-series data such as the Easter holiday effect and the trading-day effect, the factors that influenced the seasonal variations, and the importance of revisions to alter the identified non-sampling errors. more...

The article offers information on the seasonal adjustment and trend-cycle estimation in the Monthly Retail Trade Survey (MRTS) in Canada. The importance and classifications of raw data revisions are discussed including replacement of imputed data, corrections to reported data, and estimates. The five main components of the data from the MRTS are noted including the trend-cycle, seasonality, and the trading-day effect. more...

The article offers information on trend-cycle estimation and adjustment of retail trade raw data. Topics discussed include the revision of raw data, components of socio-economic time series, and the X-11 method for analysing quarterly and monthly data series. Among the five main components of socio-economic time series are trend-cycle, seasonality, and the Easter holiday cycle. more...

The article features the five components of the Monthly Retail Trading Survey (MRTS) including seasonality, trend-cycle, and Easter holiday effect. Topics covered include time-series data evolution demonstrated in the trend-cycle portion while transient movements for the short term are shown in components including trading day, seasonal and irregular. Also mentioned are the X-12-Arima software for seasonal adjustment of Retail Trade data, the X-11 analysis method and seasonally adjusted data. more...

The article offers information on seasonality and trend-cycle estimation process of Monthly Retail Trade Survey (MRTS) of retail trade in Canada. As mentioned, seasonal component represents sub-annual, monthly or quarterly fluctuations caused by the direct and indirect effects of the climatic seasons, institutional factors, and technological factors. It is also mentioned that, trend-cycle reflects the fundamental evolution of the series. more...

The article offers information on various ways for revision of raw data in order to correct known non-sampling errors including replacement of imputed data, correction of previous data, and estimation of new birth. As mentioned, data from the Monthly Retail Trade Survey (MRTS) is classified into five components which include trend cycle, seasonality, trading-day effect, Ester holiday effect and irregular component. It also discusses the reconciliation process to restore additivity. more...

The article offers information on various ways for revision of raw data in order to correct known non-sampling errors including replacement of imputed data, correction of previous data, and estimation of new birth. As mentioned, data from the Monthly Retail Trade Survey (MRTS) is classified into five components which include trend cycle, seasonality, trading-day effect, Ester holiday effect and irregular component. It also discusses the reconciliation process to restore additivity. more...

The article discusses the significance of revising the raw data of Canada's Monthly Retail Trade Survey (MRTS) to correct known non-sampling errors. The purpose of revisions is to rectify any significant problems which have been found that apply for an extended period. Also, it mentions the five main components of socio-economic time series from the data of MRTS including the trend-cycle, seasonality, and trading-day effect. more...

The article offers information on the adjustment of seasonal variation and estimation of trend-cycle of the socio-economic time series. It explores the Monthly Retail Trade Survey (MRTS) time series' components including trend-cycle, trading-day effect, and irregular component. It tells that seasonal adjustments reveal the series' trend-cycle. It tackles the methods used for estimation including the X-12-ARIMA software, regARIMA, and regression models. more...

The article focuses on the seasonal adjustment and trend-cycle estimation in retail trade surveys, particularly in the Monthly Retail Trade Survey (MRTS) in Canada. It notes the causes of seasonal variations, including the direct and indirect effects of the climatic seasons and institutional factors. It also highlights the use of regression models and auto-regressive integrated moving average models (ARIMA) in estimating the effects of Easter holiday and trading day. more...

The article discusses the seasonal adjustment and trend-cycle estimation in the Monthly Retail Trade Survey (MRTS) conducted by Statistics Canada. It mentions the monthly revision of raw data which are required to rectify non-sampling errors. It notes that its actual period depends on the type problem identified. The five main components of socio-economic time series from the survey is also presented including the trend-cycle, seasonality and the trading-day effect. more...

The article discusses the seasonal adjustment and trend-cycle estimation in a Monthly Retail Trade Survey (MRTS). It says that raw data revisions are needed to correct identified non-sampling errors, such as replacing imputed data with reported data. It says that the trend-cycle component in socio-economic time series reflects the central evolution of the series, while seasonality represents monthly, quarterly, and sub-annual fluctuations that recur almost regularly from one year to the next. more...

The article focuses on the seasonal adjustment and the fundamental trend-cycle components of socio-economic time series in retail trade in Canada. It says that time series can be divided into five main components including the trend-cycle, seasonality, and trading-day effect. It states that retail trade data has been seasonally adjusted using the X-12-ARIMA¹ software wherein the technique used consists of initial series correction for undesirable effects by a module called regARIMA. more...

The article presents the seasonal adjustment and trend-cycle estimation of Monthly Retail Trade Survey (MRTS) for the retail trade sector in Canada. It mentions that the data from the MRTS is comprised with the trend-cycle, seasonality, the trading-day effect, the Easter holiday effect, and the irregular component. Also mentions is the technique used of first correcting the initial series of undesirable effects. more...

The article focuses on the socio-economic time series in the Marketing Retail Trade Surveys (MRTS) in Canada. The socio-economic time series has five major components including trend-cycle, seasonality, and the trading-day effect. It notes that the trend-cycle component reflects the main evolution of the series. The seasonal component constitutes the sub-annual, monthly or quarterly fluctuations while the trading-day component represents when activity varies with the day of the week. more...

The article tackles on how estimation is done for the main components in the socio-economic time series of the Monthly Retail Trade Survey (MRTS). It compares the trend and the cycle components of the series, with particular focus on how they are estimated and on what they represent in the series. It also discusses the seasonal, trading-day, Easter holiday and irregular components of the series. Moreover, it notes the use of the X-11 method and the reconciliation process for the series. more...

The article focuses on the five components in the Monthly Retail Trade Survey (MRTS) in Canada. These components are the trend-cycle, seasonality, trading-day effect, Easter holiday effect and irregular. It cites the representation of the trend-cycle on the fundamental evolution of the series and sub-annual, monthly or quarterly fluctuations for the seasonal component. more...

The article discusses the five trends of the socio-economic time series such as data from the Monthly Retail Trade Survey (MRTS) in Canada. The trends include the trend-cycle, which represents the represents a smooth, quasi-periodical movement about the trend, the seasonal component, which acts as sub-annual, monthly or quarterly fluctuations that repeat more or less regularly from one year to the next, and Easter holiday effect, variation due to the shift of part of April's activity to March. more...

The article offers information on the seasonal adjustment and trend-cycle estimation in Canada. It mentions that the socio-economic time series can be divided into five main elements including the trend-cycle, seasonality, and the trading effect. It states that the trend presents the long-run series change whereas the cycle presents a smooth, quasi-periodical movement on the trend that shows a sequence of growth and phases of decline. more...

The article discusses the five main components of socio-economic time series from the Monthly Retail Trade Survey (MRTS) in Canada. Factors include the trend and cycle, which reflects the fundamental evolution of the series and the short-term transient movements, respectively. Another is the seasonal component, which represents fluctuations that recur more or less regularly from one year to the next. The Easter holiday effect variation is also being cited. more...

The article presents information on data from the Monthly Retail Trade Survey (MRTS), which can be divided into the trend-cycle, seasonality, the trading-day effect, the Easter holiday effect, and the irregular component. The seasonal component represents fluctuations that recur regularly from one year to the next. Seasonal variations are caused by the effects of the climatic seasons, institutional factors, and technological factors. more...

The article discusses seasonal adjustment and trend-cycle estimation in the Monthly Retail Trade Survey (MRTS) in Canada. Seasonal adjustment estimation is used to determine sub-annual, monthly or quarterly fluctuations that recur more or less regularly from one year to the next. Trend -cylce estimation is applied to determine the long-term change in the series and the smooth, quasi-periodical movement about the trend, showing a succession of growth and decline phases. more...

The article focuses on the components of the Monthly Retail Trade Survey (MRTS). The five components are trend-cycle, seasonality, the trading-day effect, the Easter holiday effect and the irregular component. A trend depicts the long-term change in the socio-economic time series, whereas a cycle depicts a smooth, quasi-periodical movement about the trend, displaying a succession of growth and decline phases. more...

The article reports on seasonal adjustment in retail trade and trend-cycle estimation. Seasonal adjustment in retail trade data uses the X11ARIMA/2000¹ model. The five main components in Socio-economic time series includes trend-cycle, seasonality, trading-day effect, Easter holiday effect and irregular component. Seasonal adjustment consists to remove the seasonal, trading day and Easter holiday effect components from the series and helps reveal the trend-cycle. more...

Economic time series contain elements essential to the description, explanation and forecasting of the behavior of an economic phenomenon. They are statistical records of the evolution of economic processes through time. In using time series to observe economic activity, economists and statisticians have identified 4 characteristic behavioral components, the long-term movement or trend, the cycle, the seasonal variations and the irregular fluctuations. These movements are caused by various economic, climatic or institutional factors. more...

Discusses methodologies for making seasonal adjustments of statistical data. Constant dollar seasonally adjusted estimates; Economic time series; Elements essential to the description, explanation and forecasting of the behavior of an economic phenomenon; Statistical records of the evolution of economic processes through time. more...

Presents information on seasonal adjustment method used by Canada's statistical survey branch Statistics Canada (SC) in estimating retail trade statistics. Purpose of the use of seasonal adjustment method by the SC; Assessment of advantages of seasonal adjustment method; Method by which seasonally adjusted estimates of retail trades in Canada is derived. more...

Focuses on the use of a method for seasonal adjustment of data for a survey conducted by Statistics Canada on retail trade in Canada. Impact of seasonal variations on economic activities; Appraisal of time-series analysis of data for the survey; Benefits of the use of the method for seasonal adjustment of data for the survey. more...

Explains the seasonal adjustment of economic time series which contain the elements essential to the description, explanation and forecasting of the behavior of economic phenomenon. Occurrence of seasonal variations on a more or less regular basis over the course of the year due to seasonal changes in weather, statutory holidays and events which occur at regular intervals. more...

Focuses on seasonal adjustments in industrial statistics. Characteristic behavioral components of economic time series; Factors responsible for seasonal variations; Benefits of seasonal adjustments in understanding trend-cycle of time series. more...

Provides information on the seasonal adjustment of economic time series analysis. Usage of time series for the observation of economic activity; Features of seasonal adjustment method; Benefits of seasonal adjustment method. more...

Presents information on the seasonal adjustment of economic time series. Identification of four characteristic behavioral components; Impact of seasonal variations on the series; Estimates of seasonally adjusted constant dollar. more...

Highlights the importance of seasonal adjustment method in accurately interpreting fundamental evolution of an economic phenomenon and producing forecasts of superior quality. Essential elements that explain, describe and forecast behavior of an economic phenomenon; Identification of behavioral characteristics that effect an economic activity. more...

Discusses the method of seasonal adjustment used in economic times series. Benefits of the method; Existence of irregular components in adjusted series.

Focuses on seasonal adjustment in economics. Economic time series elements; Fundamental evolution of economic phenomenon.

Provides information on X11ARIMA/88 seasonal adjustment method to adjust economic time series. Elements of economic time series; Seasonal factors that influence estimation; Benefits from seasonal adjustment. more...

Focuses on the use of seasonal adjustment method to observe economic activity. Characteristic behavioral components identified by economists and statisticians in using time series to observe economic activity; Method used by Statistics Canada to seasonally adjust its time series; Way seasonally adjusted constant dollar estimates are obtained. more...

Provides dollar estimates and statistics on seasonally adjusted retail sales in Canada from 2001 to 2003. Price index; Current dollars; Year to year percent change.

Presents information on retail trade in current as well as constant dollars in Canada as of July 2003. Appraisal of price index in the nation; Percentage change in current as well as constant dollars on yearly basis; Estimation of seasonally adjusted constant dollar for retail trade. more...

Presents historical estimates of department store type merchandise sales that has not been seasonally adjusted in Canada as of July 2003. Data for merchandise sales in Nova Scotia; Information on merchandise sales in May 2003 in British Columbia. more...

Presents information on department store type merchandise sales that has not been seasonally adjusted in Canada as of July 2003. Data for merchandise sales in Nova Scotia; Information on merchandise sales in May 2003 in British Columbia. more...

Presents seasonally adjusted historical estimates of retail sales in Canada as of July 2003. Information on sales in food and clothing stores in the nation; Data for retail sales in various provinces and territories in the nation. more...

Presents information on retail sales which is not seasonally adjusted in Canada as of July 2003. Data for retail sales in supermarket and grocery stores in the nation; Information on retail sales in clothing stores in April 2003; Appraisal of retail sales in various regions in the nation. more...