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Back Matter

Back Matter

Author(s):
Kwangwon Lee
Published Date:
November 2018
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Index

  • Accounts by institutional sector, See Institutional sector accounts

  • Accounts for the total economy

    • accumulation accounts, 4.25–4.33

    • balance sheets, 4.34, Box 4.1

    • current accounts, 4.14–4.24

    • main aggregates, 4.11

  • Accrual accounting, 5.4–5.10. See also Time of recording

  • Accumulation accounts

    • capital account, 4.25

    • financial account, 4.26–4.30

    • other changes in assets and liabilities, 4.31

    • other changes in volumes, 4.32

    • revaluation account, 4.33

  • Additive first difference (AFD) function, 6.8

  • Administrative data

    • International Merchandise Trade Statistics (IMTS), 3.25–3.29

    • value-added tax data, 3.22–3.24

  • Agriculture, work-in-progress, 11.38–11.54

  • Allocation of primary income accounts, 4.21–4.22

  • Annual national accounts (ANA)

    • consistency between QNA and, 1.26–1.30, 7.109–113

  • Annual overlap (AO) technique

    • one-quarter (QO) overlap vs., 8.73–8.76, A8.1-A8.10

    • steps, 8.71

  • Approval cost, 3.148

  • Architectural cost, 3.148

  • ARIMA model-based (AMB) approach, 7.58

  • Artistic originals, 3.145

  • Assessment

    • for early estimates in absence of related information, 10.35–10.37

    • of compilation system, 2.34–2.37

    • of methods used for early estimates, 10.38–10.42

    • of quality of statistics, 2.20

    • of source data, 2.23–2.33

    • preadjustment, 7.31–7.32

  • Backcasting

    • advantage and disadvantage, 5.30

    • benchmarking methods, 5.29

    • regression model, 5.28

    • splicing/linking, 5.25–5.28

    • validation of results, 5.34

  • Balance sheets, 4.34, Box 4.1

  • Balancing quarterly GDP discrepancies, 9.41–9.55

  • Basic prices, 3.43

  • Benchmarking

    • advantage, 1.26

    • backcasting and, 5.29

    • back series, 1.28, 6.6

    • bad-quality results of, 6.12

    • benchmark-to-indicator (BI) ratio, 3.9–3.11, 6.9

    • chain-linking and, 8.80–8.84

    • compilation procedures and, 6.78–6.82

    • dealing with difficult problems, 6.67–6.77

    • description, 1.26–1.30, 6.1–6.6

    • fixed coefficient assumptions, 6.64

    • forward series, 1.28, 6.6

    • objectives, 1.29, 6.6–6.12

    • overview, 6.1–6.5

    • proportional Cholette–Dagum method. See Proportional Cholette–Dagum method

    • proportional Denton method. See Proportional Denton method

    • pro rata distribution and step problem, 6.13, 6.22–6.29

    • revisions and, 6.83

    • seasonal effects, 6.65–6.66

    • software for, 6.21

    • without a related indicator, 6.75–6.76

  • Boot–Feibes–Lisman smoothing method, 6.17

  • Buildings (including dwellings) and other structures

    • price indicators, 3.128–3.133

    • value indicators, 3.111–3.124

    • volume indicators, 3.125

  • Business surveys, 3.15

  • Calendar component, 7.13

  • Capital account, 4.25

  • Cash basis, recording principles, 5.9. See also Time of recording

  • Catastrophic events, 11.46

  • Chain-linking

    • benchmarking and seasonal adjustment, 8.80–8.84

    • contributions to percent change, 8.85–8.89

    • frequency, 8.59–8.64

    • index number formulas, 8.65–8.68

    • lack of additivity, 8.77

    • overview, 8.47–8.58

    • presentation, 8.91–8.97

    • techniques, 8.69–8.76

  • Changes in inventories

    • general issues, 3.150–3.162

    • price indicators, 3.164

    • value indicators, 3.167

    • volume indicators, 3.163

  • Cholette–Dagum method

    • proportional, with autoregressive error, 6.16, 6.51–6.63

    • regression model, A6.20-A6.29

  • Chow–Lin regression-based method, A6.31-A6.35

  • Commitment basis, recording principles, 5.9. See also Time of recording

  • Commodity flow method, 2.17, 3.88–3.110, 9.34

  • Communications

    • of early estimates, 10.43–10.49

    • of revisions, 12.27–12.30

  • Compensation of employees, 3.183–3.185

  • Compilation

    • editing as part of, 9.8–9.21

    • methods of speeding, 2.59

    • planning workloads, 2.57–2.58

    • preparatory and operational phases, 2.38–2.40

    • release schedule, 12.13–12.26

    • structuring, 2.56

    • timing of, 2.56–2.61

  • Compilation issues

    • backcasting, 5.20–5.35

    • overview, 5.1

    • seasonal effects, 5.11–5.19

    • time of recording, 5.4–5.10

  • Computer software, 3.144. See also Software

  • Concurrent adjustment strategy, 7.71, 7.74

    • partial, 7.80

  • Constant price estimates, See Price and Volume Measures

  • Construction projects, 3.111–3.133. See also Buildings (including dwellings) and other structures

  • Consumer price index (CPI), 3.42, 3.66, 3.71–3.73, 3.95–3.96

  • Consumption of fixed capital, 3.191, 4.6

  • Cost of ownership transfer, intellectual property products, 3.147

  • CPI, See also Consumer Price Index

  • Cultivated biological resources, 11.39

  • Current accounts

    • income accounts, 4.15–4.24

    • production account, 4.14

  • Current adjustment strategy, 7.74

  • Current price data on outputs and inputs, 3.46–3.50

  • Databases, 3.144. See also Intellectual property products

  • Data gaps for early estimates, 10.23. See also Filling data gaps for GDP indicators

  • Data problems

    • causes of, 9.22–9.26

    • logical edits for, 9.34

    • methods for identifying, 9.27–9.33

    • plausibility edits, 9.36–9.40

  • Data sources, 3.1. See also GDP data sources

  • Data supply/suppliers, organizing, 2.67

  • Decomposition methods for seasonal adjustment

    • SEATS filter, 7.58–7.62

    • X-11 filter, 7.53–7.57

  • Denton benchmarking method, 6.7–6.19

  • Diagnostics on seasonal adjustment, 7.81–7.96

    • advanced, 7.94

    • basic, 7.86–7.93

  • Direct vs. indirect adjustment of aggregates, 7.99–7.106

  • Disposable income accounts, use of, 4.24

  • Dissemination of QNA, 2.48–2.52

  • Distribution, 6.7, 6.9. See also Pro rata distribution

  • Double deflation, 3.40

  • Due-for-payment basis, 5.9. See also Time of recording

  • Early estimates of quarterly GDP

    • assessment, 10.38–10.42

    • communicating, 10.43–10.49

    • filling data gaps for GDP indicators, 10.17–10.22

    • metadata, 10.47

    • methods, 10.23–10.42

    • overview, 10.1–10.10

    • timeliness and reliability, 10.11–10.16

  • Economic activity, See GDP by type of economic activity

  • Editing procedures

    • balancing quarterly GDP discrepancies, 9.41–9.55

    • compilation process and, 9.8–9.21

    • data problems, 9.22–9.40

    • overview, 9.1–9.7

    • supply and use model for quarterly GDP, 9.56–9.80

  • Employees, compensation of, 3.183–3.185

  • Endogenous constraints, 6.88

  • Entertainment originals, 3.145

  • Equipment, See Machinery and equipment

  • Exogenous constraints, 6.88

  • Expenditure, See GDP by category of expenditure

  • Expenditure approach, 2.9, 2.10, 2.11, 2.14

  • Export price indices, 3.66

  • Exports and imports of construction projects, 3.113

  • Exports and imports of goods and services

    • price indicators for goods, 3.168–3.175

    • price indicators for services, 3.176–3.178

    • value indicators, 3.163

  • Extrapolation

    • in mathematical terms, 6.27

    • proportional Denton method. See Proportional Denton method

    • with an indicator, 6.22, 6.26, 6.27, 6.28

  • Filling data gaps for GDP indicators, 10.17–10.42

    • assessment, 10.38–10.42

    • methods, 10.23–10.37

  • Final consumption expenditure by nonprofit institutions serving households

    • price indicators, 3.106

    • value indicators, 3.104

    • volume indicators, 3.105

  • Financial account, 4.26

  • Financial corporations, accounts of, 4.50

  • Financial intermediation services indirectly measured (FISIM), 3.71

  • Fisher-type formula, 8.40–8.46

  • Flash estimates, See Early estimates of quarterly GDP

  • GDP approaches, 2.9–2.15

  • GDP by category of expenditure changes in inventories, 3.150–3.164

    • exports and imports of goods and services, 3.167–3.178

    • final consumption expenditure by nonprofit institutions serving households, 3.104

    • general issues, 3.79–3.80

    • government final consumption expenditure, 3.97–3.103

    • gross fixed capital formation, 3.120–3.136

    • household final consumption expenditure, 3.81–3.96

    • intellectual property products, 3.141–3.149

    • machinery and equipment, 3.134–3.140

    • valuables, 3.165

  • GDP by income category

    • general issues, 3.179

    • price indicators, 3.194

    • value indicators, 3.183–3.193

    • volume indicators, 3.194

  • GDP by type of economic activity

    • basic prices and producer prices, 3.43

    • current price data on outputs and inputs, 3.46–3.50

    • indirect indicators, 3.62–3.65

    • industrial production index, 3.76–3.78

    • labor input measures, 3.56

    • price indicators, 3.66–3.75

    • quantities of outputs and inputs, 3.51–3.55

  • GDP data sources

    • administrative data, 3.21–3.29

    • assessment of, 2.19–2.37

    • choice of a suitable indicator, 3.5–3.12

    • general issues, 3.4

    • IMTS, 3.25–3.29

    • overview, 3.4

    • relationship with QNA, 2.46

    • surveys, 3.13–3.20

    • value-added tax data, 3.22

  • General government, accounts of, 4.52

  • Goods for processing, 3.29

  • Government final consumption expenditure

    • price indicators, 3.102–3.103

    • value indicators, 3.97–3.99

    • volume indicators, 3.100

  • Gross fixed capital formation

    • buildings (including dwellings) and other structures, 3.111–3.133

    • components, 3.107

    • general value indicators, 3.107–3.110

    • intellectual property products, 3.141–3.149

    • machinery and equipment, 3.134–3.140

  • Growth rates preservation (GRP) principle, 6.11

  • Households

    • accounts, 4.54–4.58

    • nonprofit institutions serving. See Nonprofit institutions serving households

    • surveys for, 3.13–3.20

  • Household final consumption expenditure

    • price indicators, 3.95

    • value indicators, 3.81–3.90

    • volume indicators, 3.91–3.96

  • Import price index, 3.42, 3.140

  • Import price indices, 3.66

  • Income accounts

    • disposable, use of, 4.24

    • generation of, 4.20

    • primary, allocation of, 4.21

    • secondary distribution, 4.23

  • Income approach, 2.13–2.15

  • Income category, GDP by. See GDP by income category

  • Index formula for volume measures

    • Fisher-type formula, 8.40–8.46

    • Laspeyres-type formula, 8.35–8.39

  • Indirect indicators, 3.62–3.65

  • Industrial production index (IPI), 3.76–3.78

  • Industry sources for GDP

    • current price data on outputs and inputs, 3.46–3.50

    • indirect indicators, 3.62–3.65

    • industrial production index (IPI), 3.76–3.78

    • labor input measures, 3.56

    • price indicators, 3.66–3.75

    • quantities of outputs and inputs, 3.51–3.55

  • Informal economy, 2.18

  • Input-output (IO) ratios, 3.38

  • Inputs

    • current price data on, 3.46–3.50

    • labor input measures, 3.56

    • quantities of, 3.51–3.55

  • Institutional arrangements, 4.8

  • Institutional sector accounts

    • financial corporations, 4.50–4.51

    • general government, 4.52–4.53

    • households, 4.54–4.58

    • nonfinancial corporations, 4.48–4.49

    • nonprofit institutions serving households, 4.59–4.60

    • overview, 4.38–4.47

    • rest of the world, 4.61

  • Intellectual property products

    • cost of ownership transfer, 3.147

    • general issues, 3.141

    • price indicators, 3.146

    • value indicators, 3.142–3.145

  • International Merchandise Trade Statistics (IMTS), 3.25–3.29, 3.79

  • Inventories, See Changes in inventories

  • Irregular component, 7.14

  • JDemetra+, Box 6.1, Box 7.1

  • Labor input measures, 3.56–3.61

  • Laspeyres-type formula, 8.19, 8.35–8.39

  • Leap year effect, 7.13

  • Length of the series for seasonal adjustment, 7.114–7.117

  • Literary originals, 3.145

  • Livestock, work-in-progress for, Example 11.4

  • Machinery and equipment

    • price indicators, 3.138–3.140

    • value indicators, 3.134

  • Market output, 3.44

  • Matched pair procedures, 10.29

  • Matrix solution

    • of proportional Cholette–Dagum method with autoregressive error, 6.28

    • of proportional Denton method, 6.17–6.19

  • M diagnostics, 7.92–7.93

  • Mean squared difference (MSD), 10.41

  • Measurement of GDP and its components, 2.8–2.18

  • Merchandise trade statistics, 3.25–3.31

  • Methods for filling data gaps

    • with no related information available, 10.35–10.37

    • with related information available, 10.26–10.33

  • Mixed income, 3.191–3.192

  • Model-based methods, 7.5

  • Moving average (MA) methods, 7.5

  • Moving holiday effect, 7.13

  • Multivariate proportional Denton method, 6.19, 6.91, 6.93–6.96

  • Negative value in indicator, 6.70–6.74

  • Nonfinancial corporations, 4.48–4.49

  • Nonmarket output, 3.44

  • Nonprofit institutions serving households

    • accounts, 4.59–4.60

    • final consumption expenditure, 3.104

  • One-quarter (QO) overlap technique

    • annual overlap (AO) vs., 8.73–8.76, A8.1-A8.10

    • steps, 8.72

  • Operating profit, in business accounts, 3.186

  • Operating surplus, 3.186–3.190

  • Organizational issues

    • data supply, 2.67–2.69

    • staff, 2.62–2.66

    • timing of compilation process, 2.56–2.61

  • Organizing seasonal adjustment in QNA, 7.120–7.122

  • Outlier effects, 7.14

  • Output

    • basic and producer prices, 3.43

    • current price data on, 3.46–3.50

    • market, nonmarket, for own use, 3.44

    • quantities of, 3.51–3.55

    • work-in-progress as. See Work-in-progress

  • Paasche-type price index, 8.18

  • Partial concurrent adjustment strategy, 7.75, 7.80

    • Contributions to percent changes, 8.85–8.90

  • Plant resources, 11.40–11.41

  • Preadjustment, seasonal adjustment

    • ARIMA model, 7.31–7.35

    • calendar effects, 7.36–7.47

    • model selection, 7.25–7.35

    • outliers and intervention variables, 7.47–7.49

  • Prices

    • basic, 3.43

    • current, data on outputs and inputs, 3.46–3.50

    • producer, 3.43

  • Price and volume measures

    • aggregating over time, 8.24–8.31

    • chain-linking, 8.47–8.97

    • Fisher-type volume indices, 8.40–8.46

    • index formula for volume, 8.32–8.46

    • Laspeyres-type volume measures, 8.35–8.39

    • overview, 8.1–8.9

    • principles for deriving measures at elementary aggregation level, 8.10–8.23

  • Price deflation, 8.18

  • Price indicators

    • buildings (including dwellings) and other structures, 3.129–3.130

    • changes in inventories, 3.163

    • exports and imports of goods and services, 3.167–3.178

    • final consumption expenditure by nonprofit institutions serving households, 3.104

    • GDP by income category, 3.194–3.195

  • GDP by type of economic activity, 3.70

    • government final consumption expenditure, 3.98, 3.104

    • household final consumption expenditure, 3.95

    • intellectual property products, 3.146

    • machinery and equipment, 3.134–3.140

    • specific indices, 3.64

  • Primary income accounts, allocation of, 4.21–4.22

  • Producer price index (PPI), 3.42, 3.66, 3.138–3.139, 3.170, 3.174

  • Producer prices, 3.43

  • Product groups, merchandise trade statistics, 3.26

  • Production account, 4.14. See also Income accounts

  • Production approach, 2.9, 2.11–2.12

  • Proportional Cholette–Dagum method, with autoregressive error, 6.16, 6.51–6.63

    • matrix solution of, A6.30

  • Proportional Denton method

    • enhancement for, 6.42–6.50

    • matrix solution of, A6.17–A6.19

    • multivariate, 6.19, 6.91–6.96

    • Proportional first difference (PFD) function, 6.8–6.16

  • Pro rata distribution

    • mathematical formulation, 6.24, 6.27

    • step problem, 6.14, 6.22–6.29

    • temporal discrepancies, 6.13

  • Quality assessment of seasonal adjustment

    • advanced diagnostics, 7.94–7.96

    • basic diagnostics, 7.86–7.93

  • Quantities of output and input, 3.51–3.55

  • Quarterly GDP editing. See also Editing procedures

    • balancing discrepancies, 9.41–9.55

    • supply and use model, for, 9.56–9.80

  • Quarterly national accounts (QNA)

    • as time series, 1.14–1.17

    • background, 1.1–1.6

    • consistency with ANA, 1.26–1.30

    • dissemination of, 2.48–2.52

    • early estimates of, 1.39

    • informal activity, Box 2.2

    • purposes, 1.7–1.13

    • seasonal adjustment, 1.18–1.25

    • transparency in, 1.31–1.38

  • Real-estate transfer costs, 3.149

  • Reconciliation of QNA series

    • multivariate proportional Denton method, 6.91–6.96

    • two-step procedure, 6.97–6.102

    • regARIMA model, 7.37, 7.62, 7.65, 7.89

  • Regression model, backcasting, 5.28

  • Reliability

    • of early GDP estimates, 10.11–10.16

    • of quarterly source data, 2.27

    • revisions analysis for, 12.31–12.41

  • Revaluation account, 4.33

  • Revisions

    • analysis for assessing QNA reliability, 12.31–12.41

    • communications of, 12.27–12.30

    • compilation and release schedule, 12.13–12.26

    • history diagnostic, 7.96

    • indicators, A12.1–A12.8

    • overview, 12.1–12.5

    • user requirements and resource constraints, 12.6–12.7

    • waves of source data and related revision cycles, 12.8–12.12

  • Salaries. See Wages and salaries

  • Seasonal adjustment

    • advanced diagnostics, 7.94–7.96

    • chain-linking, 8.80–8.84

    • fundamental prerequisite for, 7.16

    • overview, 7.1–7.9

    • particular issues, 7.97–7.119

    • principles, 7.10–7.19

    • procedure, 7.20–7.62

    • purpose of, 7.15

    • quality assessment, 7.81–7.96

    • revisions and, 7.63–7.80

    • software for, Box 7.1

    • status and presentation of estimates, 7.123–7.130

    • trend-cycle, 7.11

  • Seasonal component, 7.12

  • Seasonal effects

    • breaks in pattern, 5.16

    • consistency in seasonality, 5.19

    • relevance, 5.13

    • validation, 5.15

  • SEATS filter

    • decomposition methods, 7.58–7.62

    • multiplicative model, 7.26–7.27

  • Secondary distribution of income accounts, 4.23

  • Series with breaks, 6.68–6.69

  • Short series, 6.67

  • Single deflation technique, 8.22

  • Single extrapolation technique, 8.21

  • Sliding spans diagnostic, 7.94–7.95

  • Software, 3.144. See also Intellectual property products

    • for benchmarking, 6.21

    • for seasonal adjustment, Box 7.1

  • Special Data Dissemination Standard (SDDS), 1.35

  • Splicing, backcasting, 5.25–5.28

  • Staff, organizing, 2.62–2.66

  • Statistical issues

    • assessing compilation system, 2.19–2.37

    • assessing source data, 2.19–2.37

    • coverage of QNA, 2.3–2.18

    • measuring GDP and its components, 2.8–2.18

    • relationship between QNA and source data statistics, 2.46–2.47

  • Statistical processing, 2.38–2.45

  • Status and presentation of seasonally adjusted and trend-cycle, 7.123–7.130

  • Step problem, pro rata distribution and, 6.13–6.14, 6.22–6.29

  • Strategic issues, 2.1–2.69

    • dissemination, 2.48–2.52

    • organizational, 2.53–2.66

    • statistical, 2.3–2.47

  • Subcontracting, construction projects, 3.113

  • Subsidies, 3.193

  • Supply and use tables (SUT)

    • adjustments to resolve imbalances, 9.71–9.75

    • construction, 9.64–9.70

    • further considerations, 9.76–9.80

    • supply and use model, 9.56–9.80

  • Surveys for businesses and households, 3.13–3.20

  • Tax collection systems, 3.22

  • Taxes

    • on products, production, and imports as value indicator, 3.193

    • value-added. See Value-added tax (VAT)

  • Temporal consistency with annual accounts, 7.109–7.113

  • Terminal costs, 3.147

  • Timeliness of early GDP estimates, 10.11–10.16

  • Timeliness of source data, 2.28

  • Time of recording, 5.4–5.10

  • Time series, 1.14–1.17

  • Timing of compilation process, 2.56–2.61

  • Trading-day effect, 7.13

  • TRAMO-SEATS, 7.5, Box 7.1

  • Transactions, recording, 5.6

  • Transparency, 1.31–1.38, 10.43

  • Trend-cycle. See Seasonal adjustment

  • Turning points, identification of, 1.1–1.9

  • Update strategies for seasonal adjustment

    • concurrent. See Concurrent adjustment strategy

    • current, 7.71

  • Uses of QNA, 1.7–1.17

  • Valuables, 3.165–3.166

  • Value-added tax (VAT), 3.22–3.24, 3.109

  • Value indicators

    • buildings (including dwellings) and other structures, 3.111–3.124

    • changes in inventories, 3.159–3.160

    • exports and imports of goods and services, 3.167

    • final consumption expenditure by nonprofit institutions serving households, 3.104

    • GDP by income category, 3.183–3.193

    • government final consumption expenditure, 3.97–3.99

    • gross fixed capital formation, 3.107–3.124

    • household final consumption expenditure, 3.81–3.90

    • intellectual property products, 3.142–3.145

    • machinery and equipment, 3.134–3.137

  • Volume change, 8.10–8.11

  • Volume extrapolation, 8.19–8.23

  • Volume indicators

    • buildings (including dwellings) and other structures, 3.129

    • changes in inventories, 3.164

    • final consumption expenditure by nonprofit institutions serving households, 3.104

    • GDP by income category, 3.195

    • government final consumption expenditure, 3.99

  • household final consumption expenditure, 3.91–3.94

  • Wages and salaries, 3.185. See also Compensation of employees

  • Working-day effect, 7.13

  • Work-in-progress

    • activities included, 11.3

    • agriculture, special issues for, 11.38–11.54

    • as output, 3.152

    • business accounting treatment of, 11.16–11.22

    • economic concepts, 11.13–11.15

    • measurement, 11.13–11.37

    • overview, Box 4.1

    • reasons why being measured, 11.6–11.12

    • recording in 2008 SNA sequence of accounts, A11.1–A11.7

  • X-11 filter

    • additive model, 7.25

    • decomposition methods, 7.50–7.57

    • multiplicative model, 7.25–7.30

    • preadjustment, 7.25–7.35

  • X-13ARIMA-SEATS (X-13A-S)

    • additive outliers, 7.48

    • advanced diagnostic tools, 7.94

    • advantage of, 7.59

    • ARIMA modeling used by, 7.64

    • automatic selection procedure, 7.29

    • benchmarking seasonally adjusted data, 7.113

    • calendar effects, 7.43–7.45

    • Ljung–Box Q tests, 7.89

    • M diagnostics, 7.92–7.93

    • regARIMA models. See RegARIMA model

    • statistical test used in, 7.87–7.88

  • XLPBM, Box 6.1

  • Zeroes value in indicator, 6.70–6.74

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