| Major Sector Total Factor Productivity (MP) | |
| mp.txt | |
| Section Listing | |
| 1. Survey Definition | |
| 2. FTP files listed in the survey directory. | |
| 3. Time series, series file, data file, & mapping file definitions and relationships | |
| 4. Series file format and field definitions | |
| 5. Data file format and field definitions | |
| 6. Mapping file formats and field definitions | |
| 7. Data Element Dictionary | |
| 8. Code Changes | |
| ================================================================================ | |
| Section 1 | |
| ================================================================================ | |
| The following is a definition of (as of 9/07/2022): | |
| MAJOR SECTOR TOTAL FACTOR PRODUCTIVITY (MP) | |
| Description: Total factor productivity measures describe the relationship | |
| between output in real terms and the inputs involved in its production. The | |
| total factor productivity indexes for private business and private nonfarm | |
| business are derived by dividing an output index by an index of labor input | |
| and capital services. Labor input and capital services are combined using | |
| chained superlative Tornqvist aggregation, applying weights that represent | |
| each component's share of total costs. The chained superlative Tornqvist index | |
| uses changing weights; the share in each year is averaged with the preceding | |
| year's share. The total factor productivity indexes are derived by dividing | |
| an output index by an index of the combined inputs of labor, capital services, | |
| energy, non-energy materials, and purchased business services. The output | |
| index for manufacturing is computed using a chained superlative index | |
| (Tornqvist) of three-digit NAICS industry outputs. Industry output is measured | |
| as sectoral output, the total value of goods and services leaving the industry. | |
| This file contains TFP data on the following three major sectors; private | |
| business, private non-farm business, and total manufacturing. These sectors are | |
| coded as private business = 4900, private nonfarm business = 4910, and | |
| manufacturing = 9900. There is also available nondurable manufacturing = 9910, | |
| durable manufacturing = 9920, and two-digit level manufacturing = 5000-5850. | |
| There is also available non-manufacturing industries = 0011-0081. | |
| Private business includes all activities measured in the national accounts | |
| with the exception of general government, the output of paid employees of | |
| private households and nonprofit institutions, the "rest of the world" | |
| sector, the gross housing product of owner-occupied dwellings, the | |
| statistical discrepancy, and government enterprises. | |
| Private nonfarm business further excludes the farm sector. | |
| For each sector, measures of industry analytic ratios (e.g., total factor | |
| productivity, output per hour) are available as well as the basic data | |
| (e.g., hours, capital services) on which they are based. Data are obtained | |
| and derived from the following sources: Current Employment Statistics | |
| program (BLS), Current Population Survey (BLS), Work Survey (BLS), Censuses | |
| and Annual Surveys of Manufactures (Census Bureau), National Income and | |
| Product Accounts (BEA), and the Land Stock Data from the Department of | |
| Agriculture. | |
| Summary Data Available: There are 3 major sectors, 20 major industries, and 61 two-digit industries available on the LABSTAT database. | |
| All measures start in 1987. | |
| Frequency of Observations: Series are available on an annual basis. | |
| Base Period: Indexes have a base | |
| period of 2012 = 100. | |
| Data Characteristics: Indexes are stored to three decimal places. | |
| Updating Schedule: Updates are performed annually as data becomes available. | |
| Traditionally, all revisions to source data are reflected in the following | |
| release. | |
| References: BLS Handbook of Methods, located at https://www.bls.gov/productivity/handbook-of-methods.htm | |
| "Technical Information About the BLS Multifactor Productivity | |
| Measures" located at https://www.bls.gov/productivity/technical-notes/. | |
| ================================================================================== | |
| Section 2 | |
| ================================================================================== | |
| The following Major Sector Total Factor Productivity files are on the BLS | |
| internet in the sub-directory pub/time.series/mp: | |
| mp.contacts - Contacts for MP survey | |
| mp.data.1.AllData - All data | |
| mp.duration - Duration codes mapping file | |
| mp.footnote - Footnote codes mapping file | |
| mp.measure - Measure codes mapping file | |
| mp.period - Period codes mapping file | |
| mp.sector - Sector codes mapping file | |
| mp.series - All series and their beginning and end dates | |
| mp.txt - General information | |
| ================================================================================= | |
| Section 3 | |
| ================================================================================= | |
| The definition of a time series, its relationship to and the interrelationship | |
| among series, data and mapping files is detailed below: | |
| A time series refers to a set of data observed over an extended period of time | |
| over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually). | |
| BLS time series data are typically produced at monthly intervals and represent data | |
| ranging from a specific consumer item in a specific geographical area whose price | |
| is gathered monthly to a category of worker in a specific industry whose employment | |
| rate is being recorded monthly, etc. | |
| The FTP files are organized such that data users are provided with the following | |
| set of files to use in their efforts to interpret data files: | |
| a) a series file (only one series file per survey) | |
| b) mapping files | |
| c) data files | |
| The series file contains a set of codes which, together, compose a series | |
| identification code that serves to uniquely identify a single time series. | |
| Additionally, the series file also contains the following series-level information: | |
| a) the period and year corresponding to the first data observation | |
| b) the period and year corresponding to the most recent data observation. | |
| The mapping files are definition files that contain explanatory text descriptions | |
| that correspond to each of the various codes contained within each series | |
| identification code. | |
| The data file contains one line of data for each observation period pertaining to a | |
| specific time series. Each line contains a reference to the following: | |
| a) a series identification code | |
| b) year in which data is observed | |
| c) period for which data is observed (M13, Q05, and S03 indicate annual averages) | |
| d) value | |
| e) footnote code (if available) | |
| ================================================================================= | |
| Section 4 | |
| ================================================================================= | |
| File Structure and Format: The following represents the file format used to define | |
| mp.series. Note that the Field Numbers are for reference only; they do not exist | |
| in the database. Data files are in ASCII text format. Data elements are separated | |
| by tabs; the first record of each file contains the column headers for the data | |
| elements stored in each field. Each record ends with a new line character. | |
| Field #/Data Element Length Value(Example) | |
| 1. series_id 17 MPU4900012 | |
| 2. sector_code 4 4900 | |
| 3. measure_code 2 01 | |
| 4. duration 1 2 | |
| 5. footnote_codes 10 02 | |
| 6. begin_year 4 1987 | |
| 7. begin_period 3 A01 | |
| 8. end_year 4 2010 | |
| 9. end_period 3 A01 | |
| The series_id (MPU4900012) can be broken out into: | |
| Code Value | |
| survey abbreviation = MP | |
| seasonal (code) = U | |
| sector_code = 4900 | |
| measure_code = 01 | |
| duration-code = 2 | |
| ================================================================================== | |
| Section 5 | |
| ================================================================================== | |
| File Structure and Format: The following represents the file format used to define | |
| each data file. Note that the field numbers are for reference only; they do not | |
| exist in the database. Data files are in ASCII text format. Data elements are | |
| separated by tabs; the first record of each file contains the column headers for | |
| the data elements stored in each field. Each record ends with a new line character. | |
| File Name: mp.data.1.AllData | |
| The above-named data file has the following format: | |
| Field #/Data Element Length Value(Example) | |
| 1. series_id 17 MPU4900012 | |
| 2. year 4 1987 | |
| 3. period 3 A01 | |
| 4. value 12 81.318 | |
| 5. footnote_codes 10 02 | |
| The series_id (MPU490001) can be broken out into: | |
| Code Value | |
| survey abbreviation = MP | |
| seasonal (code) = U | |
| sector_code = 4900 | |
| measure_code = 01 | |
| duration_code = 2 | |
| ================================================================================ | |
| Section 6 | |
| ================================================================================ | |
| File Structure and Format: The following represents the file format used to define | |
| each mapping file. Note that the field numbers are for reference only; they do not | |
| exist in the database. Mapping files are in ASCII text format. Data elements are | |
| separated by tabs; the first record of each file contains the column headers for the | |
| data elements stored in each field. Each record ends with a new line character. | |
| File Name: mp.duration | |
| Field #/Data Element Length Value(Example) | |
| 1. duration_code 1 2 | |
| 2. duration_text 100 Text | |
| 3 display level 2 0 | |
| 4 select table 1 T | |
| 5 sort_sequence 5 1 | |
| File Name: mp.footnote | |
| Field #/Data Element Length Value(Example) | |
| 1. footnote_code 2 01 | |
| 2. footnote_text 200 Text | |
| File Name: mp.measure | |
| Field #/Data Element Length Value(Example) | |
| 1. measure_code 2 01 | |
| 2. measure_text 70 Text | |
| 3 display level 2 0 | |
| 4 select table 1 T | |
| 5 sort_sequence 5 1 | |
| File Name: mp.period | |
| Field #/Data Element Length Value(Example) | |
| 1. period 3 A01 | |
| 2. period_abbr 6 Annual | |
| 3. period_name 20 Text | |
| File Name: mp.seasonal | |
| Field #/Data Element Length Value(Example) | |
| 1. seasonal_code 1 U | |
| 2. seasonal_text 30 Text | |
| File Name: mp.sector | |
| Field #/Data Element Length Value(Example) | |
| 1. sector_code 4 4900 | |
| 2. sector_name 100 Text | |
| 3. display_level 2 0 | |
| 4. selectable 1 T | |
| 5. sort_sequence 5 1 | |
| ========================================================================================= | |
| Section 7 | |
| ========================================================================================= | |
| MAJOR SECTOR TOTAL FACTOR PRODUCTIVITY (MP) DATABASE ELEMENTS | |
| Data Element Length Value(Example) Description | |
| base_year 4 YYYY Identifies the base year for the | |
| Ex: 2012 index presented | |
| begin_period 3 A01=Annual Identifies first data observation | |
| within the first year for which | |
| data is available for a given | |
| time series. | |
| begin_year 4 YYYY Identifies first year for which | |
| Ex: 1987 data is available for a given | |
| time series. Subject to change. | |
| duration_code 1 Ex: 2 Identifies whether data are a | |
| levels, indexes, or percent changes | |
| duration_text 100 Text Names levels. indexes, or percent changes | |
| Ex: Indexes = 100.000 | |
| end_period 3 A01=Annual Identifies last data observation | |
| within the last year for which | |
| data is available for a given | |
| time series. | |
| end_year 4 YYYY Identifies last year for which | |
| Ex. 2022 data is available for a given | |
| time series. | |
| footnote_code 2 02 Identifies footnote for the data | |
| series. | |
| footnote_text 100 Text Contains the text of the footnote. | |
| Ex. Real Value-Added | |
| Output divided by | |
| combined inputs | |
| measure_code 2 01 Identifies specific factor | |
| measured by the index. | |
| measure_text 70 Text Name of specific factor | |
| Ex: Total Factor measured in the index. | |
| Productivity | |
| period_abbr 3 Period name Abbreviation of period name. | |
| abbreviation | |
| Ex: ANN | |
| period 5 A01=Annual Identifies period for which | |
| data is observed. | |
| period_name 20 Text Full name of period to which | |
| Ex: Annual the data observation refers. | |
| seasonal_code 1 U=Not seasonally Identifies whether the data are | |
| adjusted seasonally adjusted. | |
| seasonal_text 30 Text Names seasonal adjustment status. | |
| Ex: Not seasonally | |
| adjusted | |
| sector_code 4 4900 Unique code identifying the | |
| sector of economy to which | |
| data refer. | |
| sector_name 75 Text Name of economic sector to | |
| Ex: Private Business which data refer. | |
| sector | |
| selectable 1 T=Selectable Identifies items that may be | |
| F=Not selectable selected in query tools (T) or | |
| items that are titles only and not | |
| selectable (F). | |
| series_id 17 Series identifier Unique code identifying the | |
| Ex: MPU4900012 specific series. | |
| sort_sequence 5 ex: 1 Identifies order that items will | |
| appear in single-screen query tool | |
| and informs hierarchical structure | |
| of data when combined with | |
| display_level information. | |
| value 12 Ex: 84.318 Data value for the series | |
| year 4 YYYY Identifies year of observation. | |
| Ex: 1987 | |
| ========================================================================================= | |
| Section 8 | |
| ========================================================================================= | |
| CODE | |
| ____________________________________________________________________________________________________________________ | |
| This information is on the Series ID format for the MP series. | |
| Data downloads on the BLS website are based on a unique series identifier called the "Series ID". A Series ID is generated according to predictable | |
| rules and generally do not change over time. A Series ID allows customers to download a particular measure or group of measures quickly and easily | |
| using the Series Report tool (URL https://data.bls.gov/cgi-bin/srgate ). | |
| ____________________________________________________________________________________________________________________ | |
| SeriesIDs: | |
| Format | |
| Code Text | |
| MPU4900042 Series ID | |
| MP Major Sector Total Factor Productivity | |
| U unadjusted for seasonal factors | |
| 4900 Private Business Sector (NAICS PG) | |
| 04 Capital Services | |
| 2 Indexes = 100.000 | |
| ____________________________________________________________ | |
| MFP.sector: | |
| Sector code and text | |
| Code Text | |
| 4900 Private Business Sector (NAICS PG) | |
| 4910 Private Nonfarm Business Sector (NAICS XG) | |
| ____________________________________________________________________________________________________________________ | |
| MFP.Measure: | |
| code measure code and text duration code and text | |
| Code Text Code Text | |
| 01 Total factor productivity 2 Indexes = 100.000 | |
| 01 Total factor productivity 3 % Change Year Ago | |
| 02 Real value-added output 2 Indexes = 100.000 | |
| 02 Real Value-added output 3 % Change Year Ago | |
| 03 Combined inputs 2 Indexes = 100.000 | |
| 03 Combined inputs 3 % Change Year Ago | |
| 04 Capital inputs 2 Indexes = 100.000 | |
| 04 Capital inputs 3 % Change Year Ago | |
| 05 Labor input 2 Indexes = 100.000 | |
| 05 Labor input 3 % Change Year Ago | |
| 06 Labor productivity 2 Indexes = 100.000 | |
| 06 Labor productivity 3 % Change Year Ago | |
| 07 Capital productivity 2 Indexes = 100.000 | |
| 07 Capital productivity 3 % Change Year Ago | |
| 08 Capital intensity 2 Indexes = 100.000 | |
| 08 Capital intensity 3 % Change Year Ago | |
| 09 Labor composition 2 Indexes = 100.000 | |
| 09 Labor composition 3 % Change Year Ago | |
| 10 Value-added output, billions of current dollars 1 Levels | |
| 11 Capital costs, billions of current dollars 1 Levels | |
| 12 Labor Compensation, current dollars 1 Levels | |
| 13 Capital Share 1 Levels | |
| 14 Labor Share 1 Levels | |
| 15 Contribution of Capital Intensity to labor productivity 2 Indexes = 100.000 | |
| 15 Contribution of Capital Intensity to labor productivity 3 % Change Year Ago | |
| 16 Contribution of information processing equipment (IPE) intensity to labor productivity 2 Indexes = 100.000 | |
| 16 Contribution of information processing equipment (IPE) intensity to labor productivity 3 % Change Year Ago | |
| 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 2 Indexes = 100.000 | |
| 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 3 % Change Year Ago | |
| 18 Contribution of labor composition to labor productivity 2 Indexes = 100.000 | |
| 18 Contribution of labor composition to labor productivity 3 % Change Year Ago | |
| 19 Contribution of research and development (R&D) intensity to labor productivity 2 Indexes = 100.000 | |
| 19 Contribution of research and development (R&D) intensity to labor productivity 3 % Change Year Ago | |
| 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 2 Indexes = 100.000 | |
| 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 3 % Change Year Ago | |
| ____________________________________________________________________________________________________________________ | |
| KLEMS.sector: | |
| sector code and text | |
| Code Text | |
| 0011 Agriculture, forestry, fishing, and hunting (NAICS 11) | |
| 0021 Mining (NAICS 21) | |
| 0022 Utilities (NAICS 22) | |
| 0023 Construction (NAICS 23) | |
| 0042 Wholesale trade (NAICS 42) | |
| 0044 Retail trade (NAICS 44,45) | |
| 0048 Transportation and warehousing (NAICS 48-49) | |
| 0051 Information (NAICS 51) | |
| 0052 Finance and insurance (NAICS 52) | |
| 0053 Real estate and rental and leasing (NAICS 53) | |
| 0054 Professional, scientific, and technical services (NAICS 54) | |
| 0055 Management of companies and enterprises (NAICS 55) | |
| 0056 Administrative and waste management services (NAICS 56) | |
| 0061 Educational services (NAICS 61) | |
| 0062 Health care and social assistance (NAICS 62) | |
| 0071 Arts, entertainment, and recreation (NAICS 71) | |
| 0072 Accommodation and food services (NAICS 72) | |
| 0081 Other services, except government (NAICS 81) | |
| 0111 Crop & animal production (Farms) (NAICS 111,112) | |
| 0113 Forestry, fishing, and related activities (NAICS 113-115) | |
| 0211 Oil and gas extraction (NAICS 211) | |
| 0212 Mining, except oil and gas (NAICS 212) | |
| 0213 Support activities for mining (NAICS 213) | |
| 0481 Air transportation (NAICS 481) | |
| 0482 Rail transportation (NAICS 482) | |
| 0483 Water transportation (NAICS 483) | |
| 0484 Truck transportation (NAICS 484) | |
| 0485 Transit and ground passenger transportation (NAICS 485) | |
| 0486 Pipeline transportation (NAICS 486) | |
| 0487 Other transportation and support activities (NAICS 487,488,492) | |
| 0493 Warehousing and storage (NAICS 493) | |
| 0511 Publishing industries, except internet (includes software) (NAICS 511) | |
| 0512 Motion picture and sound recording industries (NAICS 512) | |
| 0515 Broadcasting and telecommunications (NAICS 515,517) | |
| 0518 Data processing, internet publishing, and other information services (NAICS 518,519) | |
| 0521 Federal reserve banks, credit intermediation, and related activities (NAICS 521,522) | |
| 0523 Securities, commodity contracts, and other financial investments and related activities (NAICS 523) | |
| 0524 Insurance carriers and related activities (NAICS 524) | |
| 0525 Funds, trusts, and other financial vehicles (NAICS 525) | |
| 0531 Real estate (NAICS 531) | |
| 0532 Rental and leasing services and lessors of nonfinancial and intangible assets (NAICS 532,533) | |
| 0561 Administrative and support services (NAICS 561) | |
| 0562 Waste management and remediation services (NAICS 562) | |
| 0621 Ambulatory health care services (NAICS 621) | |
| 0622 Hospitals and nursing and residential care facilities (NAICS 622,623) | |
| 0624 Social assistance (NAICS 624) | |
| 0711 Performing arts, spectator sports, museums, and related activities (NAICS 711,712) | |
| 0713 Amusements, gambling, and recreation industries (NAICS 713) | |
| 0721 Accommodation (NAICS 721) | |
| 0722 Food services and drinking places (NAICS 722) | |
| 4244 Trade (NAICS 42,44-45) | |
| 5000 Wood products (NAICS 321) | |
| 5050 Nonmetallic mineral products (NAICS 327) | |
| 5100 Primary metal products (NAICS 331) | |
| 5150 Fabricated metal products (NAICS 332) | |
| 5200 Machinery (NAICS 333) | |
| 5250 Computer and electronic products (NAICS 334) | |
| 5253 Finance, insurance, real estate, and leasing (NAICS 52-53) | |
| 5300 Electrical equipment, appliances, and components (NAICS 335) | |
| 5360 Motor vehicles, bodies and trailers, and parts (NAICS 3361-3363) | |
| 5370 Other transportation equipment (NAICS 3364-3369) | |
| 5400 Furniture and related products (NAICS 337) | |
| 5411 Legal services (NAICS 5411) | |
| 5412 Miscellaneous professional, scientific, and technical services (NAICS 5412-5414,5416-5419) | |
| 5415 Computer systems design and related services (NAICS 5415) | |
| 5450 Miscellaneous manufacturing (NAICS 339) | |
| 5456 Professional and business services (NAICS 54-56) | |
| 5481 Services (NAICS 54-81) | |
| 5500 Food and beverage and tobacco products (NAICS 311,312) | |
| 5550 Textile mills and textile product mills (NAICS 313,314) | |
| 5600 Apparel and leather and applied products (NAICS 315,316) | |
| 5650 Paper products (NAICS 322) | |
| 5700 Printing and related support activities (NAICS 323) | |
| 5750 Petroleum and coal products (NAICS 324) | |
| 5800 Chemical products (NAICS 325) | |
| 5850 Plastics and rubber products (NAICS 326) | |
| 6162 Educational services, health care, and social assistance (NAICS 61-62) | |
| 7172 Arts, entertainment, recreation, accommodation, and food services (NAICS 71-72) | |
| 9900 Manufacturing Sector (NAICS MN) | |
| 9910 Nondurable Manufacturing Sector (NAICS ND) | |
| 9920 Durable Manufacturing Sector (NAICS DM) | |
| ____________________________________________________________________________________________________________________ | |
| KLEMS.measure: | |
| code measure code and text duration code and text | |
| Code Text Code Text | |
| 01 Total factor productivity 2 Indexes = 100.000 | |
| 01 Total factor productivity 3 % Change Year Ago | |
| 03 Combined inputs 2 Indexes = 100.000 | |
| 03 Combined inputs 3 % Change Year Ago | |
| 04 Capital inputs 2 Indexes = 100.000 | |
| 04 Capital inputs 3 % Change Year Ago | |
| 06 Labor productivity 2 Indexes = 100.000 | |
| 06 Labor productivity 3 % Change Year Ago | |
| 07 Capital productivity 2 Indexes = 100.000 | |
| 07 Capital productivity 3 % Change Year Ago | |
| 08 Capital intensity 3 % Change Year Ago | |
| 08 Capital intensity 2 Indexes = 100.000 | |
| 51 Real sectoral output 2 Indexes = 100.000 | |
| 51 Real sectoral output 3 % Change Year Ago | |
| 55 Energy input 2 Indexes = 100.000 | |
| 55 Energy input 3 % Change Year Ago | |
| 56 Materials input 2 Indexes = 100.000 | |
| 56 Materials inputs 3 % Change Year Ago | |
| 57 Purchased services input 2 Indexes = 100.000 | |
| 57 Purchased services input 3 % Change Year Ago | |
| 61 Value of production, billions of current dollars 1 Levels | |
| 62 Capital payments, billions of current dollars 1 Levels | |
| 63 Labor cost, billions of current dollars 1 Levels | |
| 64 Energy cost, billions of current dollars 1 Levels | |
| 65 Materials cost, billions of current dollars 1 Levels | |
| 66 Purchased services cost, billions of current 1 Levels | |
| 67 Capital share 1 Levels | |
| 68 Labor share 1 Levels | |
| 69 Energy share 1 Levels | |
| 70 Materials share 1 Levels | |
| 71 Purchased services share 1 Levels | |
| 15 Contribution of capital Intensity to labor productivity 2 Indexes = 100.000 | |
| 15 Contribution of capital Intensity to labor productivity 3 % Change Year Ago | |
| 16 Contribution of information processing equipment (IPE) intensity to labor productivity 2 Indexes = 100.000 | |
| 16 Contribution of information processing equipment (IPE) intensity to labor productivity 3 % Change Year Ago | |
| 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 2 Indexes = 100.000 | |
| 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 3 % Change Year Ago | |
| 18 Contribution of labor composition to labor productivity 2 Indexes = 100.000 | |
| 18 Contribution of labor composition to labor productivity 3 % Change Year Ago | |
| 19 Contribution of research and development (R&D) intensity to labor productivity 2 Indexes = 100.000 | |
| 19 Contribution of research and development (R&D) intensity to labor productivity 3 % Change Year Ago | |
| 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 2 Indexes = 100.000 | |
| 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 3 % Change Year Ago | |
| 74 Contribution of energy intensity to labor productivity 2 Indexes = 100.000 | |
| 74 Contribution of energy intensity to labor productivity 3 % Change Year Ago | |
| 76 Contribution of materials intensity to labor productivity 2 Indexes = 100.000 | |
| 76 Contribution of materials intensity to labor productivity 3 % Change Year Ago | |
| 77 Contribution of purchased services Intensity to labor productivity 2 Indexes = 100.000 | |
| 77 Contribution of purchased services Intensity to labor productivity 3 % Change Year Ago | |
| 78 Contribution of intermediate inputs to labor productivity 2 Indexes = 100.000 | |
| 78 Contribution of iIntermediate inputs to labor productivity 3 % Change Year Ago | |