LA – KLEMS Project: Mexico Francisco Guillén Martín Deputy General Directorate for National Accounts INEGI-Mexico

LA – KLEMS Project:Mexico

Francisco Guillén MartínDeputy General Directorate for National Accounts

INEGI-Mexico

LA KLEMS – Mexico Project Implementation

SUMMARY

A). Offices of the System of National Accounts - Mexico which are linked to the project.

B). Main challenges to the construction of annual statistical series.

1. Inter-sector accounts2. Labor accounts

3. Capital accounts

C). ITs measurement and its role in productivity.

D). Some Preliminary Results

A). Offices of the SNA Mexico which are linked to the project

NATIONAL INSTITUTE FOR STATISTICS AND GEOGRAPHY (INEGI)

GENERAL DIRECTORATE FOR ECONOMIC STATISTICS

DEPUTY GENERAL DIRECTORATE FOR NATIONAL ACCOUNTS

DIRECTORATE FOR NATIONAL ACCOUNTING

DEPUTY DIRECTORATE FOR INTEGRATION OF GOODS AND SERVICES ACCOUNTS

DEPUTY DIRECTORATE FOR MANUFACTURING INDUSTRIES

DEPUTY DIRECTORATE FOR SERVICES

DEPUTY DIRECTORATE FOR INTEGRATION OF INSTITUTIONAL SECTORS ACCOUNTS

DIRECTORATE FOR INPUT-OUTPUT TABLES

DEPUTY DIRECTORATE FOR MINING AND INDUSTRIAL NON MANUFACTURING SECTORS

DEPUTY DIRECTORATE FOR FARMING, FORESTRY, FISHING AND PROCESSED FOODS

DEPUTY DIRECTORATE FOR NON FINANCIAL AND ECONOMICS REFERENCES SERVICES

DEPUTY GENERAL DIRECTORATE FOR ECONOMIC POLLS AND ADMINISTRATIVE RECORDS

DIRECTORATE FOR SECONDARY SECTOR POLLS

DIRECTORATE FOR SCIENCE AND TECHNOLOGY STATISTICS

DEPUTY DIRECTORATE FOR INFORMATION TECHNOLOGIES AND COMMUNICATIONS

DEPUTY GENERAL DIRECTORATE FOR ECONOMIC AND FARMING CENSUSES

GENERAL DIRECTORATE FOR DEMOGRAPHIC STATISTICSDEPUTY GENERAL DIRECTORATE FOR DEMOGRAPHIC STATISTICS AND ADMINISTRATIVE RECORDS

DIRECTORATE FOR CONCEPTUAL DESIGN OF REGULAR AND SPECIAL POLLS

DEPUTY DIRECTORATE FOR CONCEPTUAL DESIGN OF REGULAR POLLS

B) Main challenges to the construction of annual statistical series

1. Inter-sectorial Accounts

KLEMS economic activities classification requires a wide sectorial breakdown, so it was needed to harmonize the economic classification for censuses and polls, the NAICS ‘02 and the SNA Mexico for the series 1990-2008.

In order to get data for the components of intermediate consumption by activity, it was required the use of all economic censuses and polls available for the referred period.

A particular challenge resides in determining the technology output for own use at business, homes and other economic agents.

2. Labor Accounts IT specification on labor data set out a strong conceptual and

methodological requirement (there is not a clear definition on the relationship of people with ITs) that is hard to achieve for the complete series. Thus, available data from polls and administrative records is being gathered, in order to estimate it.

Another challenge is to conceptually determining data from employment polls for its KLEMS classification as well as for its breakdown by sex, age, education (high, medium, low); on this very last issue there is not a clear definition. What must be understood for each of these educational levels?


If this definition of educational levels is leave up to each country, thera is a loss in comparability. Nevertheless, the data from employment tables which have generated from the ENE and the ENOE, in order to satisfy the LA KLEMS requirement, using some statistical-mathematic procedure that does not distort the original demographic basic data trend.



3. Capital Accounts

For fulfillment of the objective of this project, SNA Mexico data on gross capital stocks and net stocks at acquisition costs and at replacement value through the Perpetual Inventory Method (PIM) was used for the 1990-2008 Annual Series.

The challenged that is now being undertaken is the calculation of the time series, with the economic activity breakdown required for the LA-KLEMS; this task is being developed through statistical and mathematic methods supported on data from the Economic Polls and Census, which allows to obtain product-capital elasticity coefficients by economic activity.

C) ITs measurement and its role in productivity

Information Technologies measurement and its role in productivity

The quantification on stocks, employment an input is made through total supply of ITs sectors and through statistical data available for these economic sectors, as well as with the calculation of technical coefficients on the use of this technology, obtained through the Supply and Demand Tables, Economic Censuses, annual polls and administrative records, which will allow to identify their contribution in each ITs related factor (KLEMS):

Computer equipment.Communication equipment.Software.

D) Some preliminary results.

The next table shows the economic variables which have been calculated to date, for the 1900-2008 series, at both current and 1995 constant prices.

LA KLEMS Codes Current ValuesConstant Values at

1995 Prices

Price Index Base

1995=100.0

Gross Output GO GO_ QI GO_ P

Intemediate Input I I I I_ QI I I_ P

Energy IIE I IE_ QI I IE_ P

Raw Materials I IM IIM_ QI I IM_ P

Services IIS IIS_ QI I IS_ P

Value Added VA VA_ QI VA_ P

Compensations COMP

Gross Operation Surplus GOS

Other taxes and subsidies to production TXSP

Number of active people (thousand) EMP

Number of employed people (thousand) EMPE


Inter-sectorial Accounts Intermediate Consumption Value

Taking into account that the sum of its three required components equals total intermediate value for the referred economic activity, its composition at current values was obtained from 1993, 1998 and 2003 census data, as well as manufacturing polls and administrative records for energy, transportation and all other services. The resulting values were adjusted to the intermediate consumption value registered in the output accounts of each activity.Intermediate Consumption Value at constant values

For calculation of these aggregates, the intermediate consumption for each activity was taken as constant, and its composition was obtained through deflecting its three components with price indexes calculated from energy rates, producer and consumer prices and implicit IC prices.


]Intermediate Consumption Value (IC) at current and constant values

Current Values Constant Values

YEAR IC EnergyRaw

Materials Services IC EnergyRaw

Materials Services

1990 576,415,997 11,825,890 306,152,055 258,438,052 1,412,890,299 28,280,390 708,389,932 676,219,977

1995 1,636,945,587 32,765,077 820,725,978 783,454,532 1,636,945,587 32,765,077 820,725,978 783,454,532

2000 4,544,613,987 109,955,353 2,435,534,703 1,999,123,931 2,462,732,857 49,289,432 1,234,756,273 1,178,687,152

2003 5,262,301,986 258,301,123 3,474,139,082 1,529,861,781 2,499,114,083 62,973,725 1,252,996,963 1,183,143,395

2004 6,016,322,085 186,922,882 4,048,225,958 1,781,173,245 2,675,299,076 68,332,594 1,341,331,971 1,265,634,511

2005 6,670,809,932 207,098,575 4,459,620,105 2,004,091,252 2,855,230,822 74,147,486 1,431,545,512 1,349,537,824

2006 7,503,531,005 236,335,208 5,025,377,851 2,241,817,946 3,148,379,520 80,457,207 1,578,523,368 1,489,398,946

2007 8,098,293,133 252,241,235 5,392,316,850 2,453,735,048 3,351,939,937 87,303,866 1,680,583,768 1,584,052,303

2008 8,877,075,275 301,197,586 5,933,088,465 2,642,789,224 3,397,662,611 94,733,154 1,703,508,041 1,599,421,416


WP2 and WP3: Labor Account and Capital Account

We have a considerable progress in the analysis and conciliation of basic data available for the labor account and the capital account, so we expect to deliver the results in time and on the required format .

Data related to job posts and worked hours, by sex, age and education are available to NAICS sub-sector levels, for the 1900-2008 period, as a result of the ENE-ENOE data re-processing.


Labor Account Progress.

For the 1990-2008 series, technical coefficient were calculated with the following data sources.

Years Job posts Worked hours Sex Age Education

1990 ENE ENE ENE ENE1991 ENE ENE ENE ENE1992 ENE ENE ENE ENE1993 ENE ENE . . . ENE ENE ENE ENE

1998 ENE ENE. . . ENE ENE ENE ENE

2005 ENOE ENOE ENOE ENOE2006 ENOE ENOE ENOE ENOE2007 ENOE ENOE ENOE ENOE2008 ENOE ENOE ENOE ENOE

Note: Sex breakdown for 2008 will be updated with the corresopondent Economic Census, as soon as it is available

ENE: National Employment Poll

ENOE: National Employment and Occupation Poll

Accounts of Good and Services - System of National Accounts,

Mexico

1993 Economic Census

1998 Economic Census


]

EMPLOYED POPULATION, 15 OR OLDER, BY SEX, AGE, EDUCATION LEVEL FOR ALL THE ECONOMY

CONCEPT 1990 1995 2000 2003 2004 2005 2006 2007 2008EMPLOYED TOTAL

POPULATION 29,331,622 30,427,618 35,491,679 34,702,227 35,181,284 35,456,361 36,558,760 37,023,937 37,168,085Male population 21,850,017 22,455,803 22,447,024 24,409,314 22,186,066 22,040,093 22,699,431 22,864,495 22,936,03515_29_m 7,494,559 7,702,344 7,699,328 8,372,394 7,609,825 7,559,755 7,649,713 7,613,876 7,523,017High qualification 1,693,771 1,740,731 1,894,032 2,252,179 2,161,188 1,852,141 1,958,325 2,017,676 2,038,738Medium qualification 2,180,916 2,241,383 2,225,103 2,469,857 2,275,339 2,343,527 2,409,664 2,428,828 2,444,984Low qualification 3,619,872 3,720,230 3,580,193 3,650,358 3,173,298 3,364,087 3,281,724 3,167,372 3,039,29530_49_m 9,941,758 10,217,394 10,213,396 11,106,238 10,094,665 10,028,240 10,441,739 10,517,664 10,642,324High qualification 2,246,836 2,309,134 2,512,495 2,987,579 2,866,886 2,456,919 2,673,085 2,787,182 2,884,069Medium qualification 2,893,051 2,973,259 2,951,671 3,276,343 3,018,304 3,108,755 3,289,146 3,355,134 3,458,758Low qualification 4,801,871 4,935,001 4,749,230 4,842,316 4,209,475 4,462,566 4,479,508 4,375,348 4,299,49750_plus_m 4,413,700 4,536,065 4,534,300 4,930,682 4,481,576 4,452,098 4,607,979 4,732,955 4,770,694High qualification 997,497 1,025,154 1,115,436 1,326,355 1,272,765 1,090,763 1,179,642 1,254,232 1,292,862Medium qualification 1,284,388 1,319,995 1,310,411 1,454,551 1,339,991 1,380,153 1,451,512 1,509,809 1,550,477Low qualification 2,131,815 2,190,916 2,108,453 2,149,776 1,868,820 1,981,182 1,976,825 1,968,914 1,927,355Female population 7,481,605 7,971,815 13,044,655 10,292,913 12,995,218 13,416,268 13,859,329 14,159,442 14,232,05015_29_f 2,566,190 2,734,336 4,474,316 3,530,467 4,457,360 4,601,781 4,670,596 4,715,093 4,668,112High qualification 579,954 617,957 1,100,681 949,695 1,265,894 1,127,439 1,195,674 1,249,493 1,265,065Medium qualification 746,760 795,695 1,293,075 1,041,488 1,332,751 1,426,553 1,471,232 1,504,117 1,517,134Low qualification 1,239,476 1,320,684 2,080,560 1,539,284 1,858,715 2,047,789 2,003,690 1,961,483 1,885,91330_49_f 3,404,130 3,627,178 5,935,320 4,683,274 5,912,823 6,104,403 6,375,295 6,513,343 6,603,668High qualification 769,334 819,740 1,460,090 1,259,801 1,679,244 1,495,579 1,632,075 1,726,035 1,789,595Medium qualification 990,605 1,055,509 1,715,312 1,381,568 1,767,930 1,892,369 2,008,217 2,077,756 2,146,194Low qualification 1,644,191 1,751,929 2,759,918 2,041,905 2,465,649 2,716,455 2,735,003 2,709,552 2,667,87950_plus_f 1,511,285 1,610,301 2,635,019 2,079,172 2,625,035 2,710,084 2,813,438 2,931,006 2,960,270High qualification 341,548 363,931 648,215 559,297 745,511 663,971 720,237 776,716 802,230Medium qualification 439,786 468,597 761,525 613,352 784,882 840,125 886,232 934,987 962,087Low qualification 729,951 777,773 1,225,279 906,523 1,094,642 1,205,988 1,206,969 1,219,303 1,195,953

Thank you

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LA – KLEMS Project: Mexico Francisco Guillén Martín Deputy General Directorate for National Accounts INEGI-Mexico