Introduction(01)
I.Scope of distributive trade statistics(09)
A. Distributive trade as an economic activity(09)
B. scope and structure of distributive trade in the International Standard Industrial Classification of All Economic Activities, Trvision 4(ISIC, Rev.4)(10)
C. Scope and structure of distributive trade in terms of the Central Product Classification, Version 2(CPC, Ver.2), and the Classification of Individual Consumption According to Purpose(COICOP)(14)
D. Distributive trade in other activity classifications(15)
E. Selected boundary issues.(16)
01. Outsourcing: the boundary between wholesaling and manufacturing (16)
02. Distinction between retail trade and financial services(17)
F. Scope of distributive trade statistics(18)
II. Statistical ans reporting units(19)
A. Overview(19)
B. Definition of selected statistical units(20)
C. Recommendations on statistical, reporting and collection units(23)
D. Mapping of selected entities specific to distributive trade to the statistical units(24)
E. Statistical units of the informal sector(26)
III. Chacteristics of statistical units(29)
A. Identification code(29)
B. Location(30)
C. Kind of activity(30)
Figure III.1 Decision tree to be used for the allocation of a wholesale trade unit(34)
Figure III.2. Decition tree to be used for the allication of a retail trade unit (34)
D. Type of operation(36)
Box III.1. Definitions of e-commerce(37)
E. Type of economic organization(38)
F. Type of legal organization and type of ownership(39)
G. Size(41)
H. Demographic characteristics(42)
I. Period of operation(43)
IV. Data items and their definitions(45)
A. Understanding the links between business accounting and basic economic statistics(45)
1. Differences in terminology(46)
2. Differences in business accountion rules(46)
B. Definitions of data items(46)
1. Demography(46)
(a) Chacteristics of statistical units(46)
(b) Number of statistical units(46)
2. Employment(47)
(a) Number of persons employed(47)
(b) Average number of persons employed(53)
(c) Hours worked(53)
3. Compensation of emplowyees(55)
4. Other expenditures(58)
(a) Purchases of goods and services(58)
5. Turnover, sales, shipments, receipts for services and other revenues (64)
(a) Turnover, sales, shipments, receipts for services and other revenues(64)
Table IV.1. Comparison between the concepts of turnover/sales, revenue and recipts(65)
(b) E-commerce(68)
(c) Data items by products(69)
6. Inventories(71)
7. Taxes and subsidies(73)
8. Ouput(74)
9. Intermediate consuption and census input (75)
10. Value added(76)
11. Assets, capital expenditures, retirements and depreciation(76)
V. Performance indicators(83)
A. Need for performance indicators(83)
B. Objectives of performance indicators(83)
1. Growth rates(84)
2. Ratio indicators(85)
3. Share indicators(87)
D. Additional indicators(87)
E. How to interpret performance indicators(88)
VI. Data sources and data compilation methods(89)
A. Data sources(89)
1. Statistical data sources(89)
2. Administrative data sources(93)
3. The business register as a frame for statistical surveys.(94)
Figure VI.1. Hierarchic links between a group of enterprises, an enterprise and its constituting establishments(97)
B. Data compilation metods.(97)
The data-collection strategy(101)
Figure VI.2. A general data-collection strategy for different segments of the economy(102)
D. Survey method(103)
E. Scope and coverage of distributive trade surveys(105)
F. Reference period(106)
VII. Short-term distributive trade statistics(107)
A. Background(107)
B. Indices of distributive trade (108)
1. Overview(108)
2. Indices of distributive trade(109)
C. Seasonal adjistment(111)
1. Basic concepts for application in the compilation of seasonally adjusted sata(111)
2. Main principles and models of seasonal adjustment(112)
3. Calendar effects(114)
4. Seasonal adjustment software packages(116)
D. Benchmarking(118)
1. Need for benchmarking in distributive trade statistics(118)
2. Main principles and methods of benchmarking(119)
3. Benchmarking and compilation of distribiutive trade statistics(120)
VIII. Data quality and metadata(123)
A. Enhancing data quality of distributive trade(123)
Figure VIII.1. the relationship between the International Monetary Fund Data Quality Assessment Framework, the Eurostat Quality definition and the Organization for Economic Cooperation and Development quality measurement framework(124)
B. Quality indicators versus direct quality measures(128)
Table VIII.1. Key indicators for measuring the quality of distributive trade statistics(129)
C. Metadata on distributive trade statistics(130)
IX. Dissmination(133)
A. National reporting(133)
B. International reporting(137)
Table IX.1. List of data items on distributive trade statistics for international dissemination with annual periodicity(137)
Table IX.2. List of data items on distributive trade statistics for international dissemination with quarterly periodicity(138)
Table IX.3. List of data items on distributive trade statistics for international dissemination with monthly periodicity(138)
ANNEXES(139)
I. List of data items for use in distributive trade statistics(139)
II. List of activities in terms of ISIC, Rev.4, excluded from the scope of the relevant distributive trade divisions and classes(147)
III. Identifying the principal activity of a statistical unit using the top-down method within wholesale and retail trade(151)
References(153)
I.Scope of distributive trade statistics(09)
A. Distributive trade as an economic activity(09)
B. scope and structure of distributive trade in the International Standard Industrial Classification of All Economic Activities, Trvision 4(ISIC, Rev.4)(10)
C. Scope and structure of distributive trade in terms of the Central Product Classification, Version 2(CPC, Ver.2), and the Classification of Individual Consumption According to Purpose(COICOP)(14)
D. Distributive trade in other activity classifications(15)
E. Selected boundary issues.(16)
01. Outsourcing: the boundary between wholesaling and manufacturing (16)
02. Distinction between retail trade and financial services(17)
F. Scope of distributive trade statistics(18)
II. Statistical ans reporting units(19)
A. Overview(19)
B. Definition of selected statistical units(20)
C. Recommendations on statistical, reporting and collection units(23)
D. Mapping of selected entities specific to distributive trade to the statistical units(24)
E. Statistical units of the informal sector(26)
III. Chacteristics of statistical units(29)
A. Identification code(29)
B. Location(30)
C. Kind of activity(30)
Figure III.1 Decision tree to be used for the allocation of a wholesale trade unit(34)
Figure III.2. Decition tree to be used for the allication of a retail trade unit (34)
D. Type of operation(36)
Box III.1. Definitions of e-commerce(37)
E. Type of economic organization(38)
F. Type of legal organization and type of ownership(39)
G. Size(41)
H. Demographic characteristics(42)
I. Period of operation(43)
IV. Data items and their definitions(45)
A. Understanding the links between business accounting and basic economic statistics(45)
1. Differences in terminology(46)
2. Differences in business accountion rules(46)
B. Definitions of data items(46)
1. Demography(46)
(a) Chacteristics of statistical units(46)
(b) Number of statistical units(46)
2. Employment(47)
(a) Number of persons employed(47)
(b) Average number of persons employed(53)
(c) Hours worked(53)
3. Compensation of emplowyees(55)
4. Other expenditures(58)
(a) Purchases of goods and services(58)
5. Turnover, sales, shipments, receipts for services and other revenues (64)
(a) Turnover, sales, shipments, receipts for services and other revenues(64)
Table IV.1. Comparison between the concepts of turnover/sales, revenue and recipts(65)
(b) E-commerce(68)
(c) Data items by products(69)
6. Inventories(71)
7. Taxes and subsidies(73)
8. Ouput(74)
9. Intermediate consuption and census input (75)
10. Value added(76)
11. Assets, capital expenditures, retirements and depreciation(76)
V. Performance indicators(83)
A. Need for performance indicators(83)
B. Objectives of performance indicators(83)
1. Growth rates(84)
2. Ratio indicators(85)
3. Share indicators(87)
D. Additional indicators(87)
E. How to interpret performance indicators(88)
VI. Data sources and data compilation methods(89)
A. Data sources(89)
1. Statistical data sources(89)
2. Administrative data sources(93)
3. The business register as a frame for statistical surveys.(94)
Figure VI.1. Hierarchic links between a group of enterprises, an enterprise and its constituting establishments(97)
B. Data compilation metods.(97)
The data-collection strategy(101)
Figure VI.2. A general data-collection strategy for different segments of the economy(102)
D. Survey method(103)
E. Scope and coverage of distributive trade surveys(105)
F. Reference period(106)
VII. Short-term distributive trade statistics(107)
A. Background(107)
B. Indices of distributive trade (108)
1. Overview(108)
2. Indices of distributive trade(109)
C. Seasonal adjistment(111)
1. Basic concepts for application in the compilation of seasonally adjusted sata(111)
2. Main principles and models of seasonal adjustment(112)
3. Calendar effects(114)
4. Seasonal adjustment software packages(116)
D. Benchmarking(118)
1. Need for benchmarking in distributive trade statistics(118)
2. Main principles and methods of benchmarking(119)
3. Benchmarking and compilation of distribiutive trade statistics(120)
VIII. Data quality and metadata(123)
A. Enhancing data quality of distributive trade(123)
Figure VIII.1. the relationship between the International Monetary Fund Data Quality Assessment Framework, the Eurostat Quality definition and the Organization for Economic Cooperation and Development quality measurement framework(124)
B. Quality indicators versus direct quality measures(128)
Table VIII.1. Key indicators for measuring the quality of distributive trade statistics(129)
C. Metadata on distributive trade statistics(130)
IX. Dissmination(133)
A. National reporting(133)
B. International reporting(137)
Table IX.1. List of data items on distributive trade statistics for international dissemination with annual periodicity(137)
Table IX.2. List of data items on distributive trade statistics for international dissemination with quarterly periodicity(138)
Table IX.3. List of data items on distributive trade statistics for international dissemination with monthly periodicity(138)
ANNEXES(139)
I. List of data items for use in distributive trade statistics(139)
II. List of activities in terms of ISIC, Rev.4, excluded from the scope of the relevant distributive trade divisions and classes(147)
III. Identifying the principal activity of a statistical unit using the top-down method within wholesale and retail trade(151)
References(153)