Producer Price Survey for Manufacturing 2015
Philippines, 2015 - 2016
Reference ID
PHL-PSA-PPS-2015-v2.1
Producer(s)
Philippine Statistics Authority
Collection(s)
Metadata
Created on
Sep 14, 2021
Last modified
Feb 09, 2023
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Identification
Producer Price Survey for Manufacturing 2015
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-PPS-2015-v2.1
The Philippine Statistics Authority generates various establishment-based price indices, one of which is the Producers Price Index (PPI). The 2015 PPI (2000 base year) is generated from the results of the Producer Price Survey conducted monthly by the PSA. This is done through the collection of actual producer prices from sample establishments nationwide. The PPS uses a shuttle type questionnaire which provides the respondent establishments with a running account of all monthly responses for the year. For 2015, the survey covered 1,898 sample products produced by 728 manufacturing establishments.
The Producer Price Index (PPI) for Manufacturing is a composite figure of producers prices of representative commodities included in the market basket. The PPI serves various purposes, the most important of which are the following:
a. measures monthly or yearly changes in the producers prices of key commodities in the manufacturing sector
b. serves as deflator to Value of Production Index (VaPI) and Value of Net Sales Index (VaNSI) in the estimation of the Volume of Production Index (VoPI) and Volume of Net Sales Index (VoNSI) for the MISSI, respectively
c. serves as deflator in the estimation of manufacturing production in real terms (at constant prices) in the system of national accounts.
The PPI is computed using the Paasche-type method of index computation . As such, the weights are continously revised upon availability of the latest data from the annual survey or census. In the case of 2015 PPI, the weights are taken from the 2012 Census of Philippine Business and Industry (CPBI). The revision of weights , are however instituted at the beginning of each year and are used for the entire year.
The Producer Price Index (PPI) for Manufacturing is a composite figure of producers prices of representative commodities included in the market basket. The PPI serves various purposes, the most important of which are the following:
a. measures monthly or yearly changes in the producers prices of key commodities in the manufacturing sector
b. serves as deflator to Value of Production Index (VaPI) and Value of Net Sales Index (VaNSI) in the estimation of the Volume of Production Index (VoPI) and Volume of Net Sales Index (VoNSI) for the MISSI, respectively
c. serves as deflator in the estimation of manufacturing production in real terms (at constant prices) in the system of national accounts.
The PPI is computed using the Paasche-type method of index computation . As such, the weights are continously revised upon availability of the latest data from the annual survey or census. In the case of 2015 PPI, the weights are taken from the 2012 Census of Philippine Business and Industry (CPBI). The revision of weights , are however instituted at the beginning of each year and are used for the entire year.
Sample survey data [ssd]
Establishment - defined as an economic unit under a single ownership or control, i.e., under a single legal entity, engaged in one or predominantly one kind of economic activity at a single fixed location.
Version
v2.1: Edited dataset, for public use
2016-08
Scope
Topic | Vocabulary | URI |
---|---|---|
Business statistics | Philippine Statistics Authority | |
Mining, manufacturing, construction | Philippine Statistics Authority | |
Business and agricultural surveys | Philippine Statistics Authority |
Coverage
The geographic domain is national or the whole country.
Establishment - defined as an economic unit under a single ownership or control, i.e., under a single legal entity, engaged in one or predominantly one kind of economic activity at a single fixed location.
Establishments in the Formal sector with total employment of 20 and over of the Manufacturing Industry
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
Name | Affiliation | Role | |
---|---|---|---|
Sampling
The 2015 PPS is a non-probability sampling survey of the manufacturing sector. Sample establishments and commodities were selected using the following criteria:
a. the commodity has a relatively high market share
b. the commodity was available in the market in 2000, this being the base year
c. the commodity is being produced currently, and
d. the market share of the commodity has been stable for the last 3 years
In the same manner, criteria were also set for the selection of establishments, as follows:
a. establishment has an average total employement of 20 and over
b. establishment has relatively high concentration ratio
c. establishment is good respondent in past and current surveys of PSA; that is, it submits prompt reports and provides quality data
d. the establishment is a sample of the MISSI.
The 2015 PPS utilizes the 3-digit and selected 4-digit ammended PSIC as its industry domain which is patterned after ISIC version 3.
Thus, there are 20 major sectors with 10 further categorized into sub-sectors or a total of 37 sub-sectors for the 2015 MISSI/PPS. These are:
1. Food Manufacturing
1.1. Processed meat and fish
1.2. Processed fruits and vegetables
1.3. Vegetable and animal oils and fats
1.4. Milk and dairy products
1.5. Grain mills products
1.6. Animal feeds
1.7. Bakery products
1.8. Milled and refined sugar
1.9. Coconut products
1.10. Miscellaneous foods
2. Beverages
3. Tobacco products
4. Textiles
4.1. Textile products
4.2. Cordage, rope and twine
5. Footwear and wearing apparel
6. Leather products
7. Wood and wood products
7.1. Planning and sawmill
7.2. Veneer and plywood
7.3. Other wood products
8. Paper and paper products
9. Printing
10. Petroleum products
10.1. Refined petroleum products
10.2. Coke and other fuel products
11. Chemical products
11.1. Basic Chemicals and industrial gases
11.2. Fertilizers
11.3. Paints
11.4. Drugs and medicines
11.5. Cosmetics and toilet preparations
11.6. Miscellaneous Chemicals
12. Rubber and plastic products
12.1. Rubber products
12.2. Plastic products
13. Non-metallic mineral products
13.1. Glass and glass products
13.2. Cement
13.3. Miscellaneous non-metallic mineral products
14. Basic metals
14.1. Iron and steel
14.2. Non-ferrous metals
15. Fabricated metal products
16. Machinery except electrical
16.1. Office,accounting and computing machinery
16.2. Machinery and equipment n.e.c.
17. Electrical machinery
17.1. Electrical appliances
17.2. Wires and wirings
17.3. Batteries
17.4. Lamps and fixtures
17.5. Microcircuits
18. Transport equipment
19. Furnitures and fixtures
20. Miscellaneous Manufactures
Indicators generated from 2015 PPS (2000 based year) are the following:
1. Producer Price Index (PPI), yearly and monthly growth rates
Data of non-responding samples were estimated using short-term geometric mean of the relative values of responding samples within the industry class. Revisions to the preliminary estimates are done upon receipt of actual reports of late respondents.
a. the commodity has a relatively high market share
b. the commodity was available in the market in 2000, this being the base year
c. the commodity is being produced currently, and
d. the market share of the commodity has been stable for the last 3 years
In the same manner, criteria were also set for the selection of establishments, as follows:
a. establishment has an average total employement of 20 and over
b. establishment has relatively high concentration ratio
c. establishment is good respondent in past and current surveys of PSA; that is, it submits prompt reports and provides quality data
d. the establishment is a sample of the MISSI.
The 2015 PPS utilizes the 3-digit and selected 4-digit ammended PSIC as its industry domain which is patterned after ISIC version 3.
Thus, there are 20 major sectors with 10 further categorized into sub-sectors or a total of 37 sub-sectors for the 2015 MISSI/PPS. These are:
1. Food Manufacturing
1.1. Processed meat and fish
1.2. Processed fruits and vegetables
1.3. Vegetable and animal oils and fats
1.4. Milk and dairy products
1.5. Grain mills products
1.6. Animal feeds
1.7. Bakery products
1.8. Milled and refined sugar
1.9. Coconut products
1.10. Miscellaneous foods
2. Beverages
3. Tobacco products
4. Textiles
4.1. Textile products
4.2. Cordage, rope and twine
5. Footwear and wearing apparel
6. Leather products
7. Wood and wood products
7.1. Planning and sawmill
7.2. Veneer and plywood
7.3. Other wood products
8. Paper and paper products
9. Printing
10. Petroleum products
10.1. Refined petroleum products
10.2. Coke and other fuel products
11. Chemical products
11.1. Basic Chemicals and industrial gases
11.2. Fertilizers
11.3. Paints
11.4. Drugs and medicines
11.5. Cosmetics and toilet preparations
11.6. Miscellaneous Chemicals
12. Rubber and plastic products
12.1. Rubber products
12.2. Plastic products
13. Non-metallic mineral products
13.1. Glass and glass products
13.2. Cement
13.3. Miscellaneous non-metallic mineral products
14. Basic metals
14.1. Iron and steel
14.2. Non-ferrous metals
15. Fabricated metal products
16. Machinery except electrical
16.1. Office,accounting and computing machinery
16.2. Machinery and equipment n.e.c.
17. Electrical machinery
17.1. Electrical appliances
17.2. Wires and wirings
17.3. Batteries
17.4. Lamps and fixtures
17.5. Microcircuits
18. Transport equipment
19. Furnitures and fixtures
20. Miscellaneous Manufactures
Indicators generated from 2015 PPS (2000 based year) are the following:
1. Producer Price Index (PPI), yearly and monthly growth rates
Data of non-responding samples were estimated using short-term geometric mean of the relative values of responding samples within the industry class. Revisions to the preliminary estimates are done upon receipt of actual reports of late respondents.
The average monthly response rate is 80.61%, 35 days (preliminary tabulation) after the reference month and 95.5 % for the
final table.
final table.
Not applicable.
Data Collection
Start | End | Cycle |
---|---|---|
2015-02-15 | 2015-02-28 | January round |
2015-03-15 | 2015-03-30 | February round |
2015-04-15 | 2015-04-30 | March round |
2015-05-15 | 2015-05-30 | April round |
2015-06-15 | 2015-06-30 | May round |
2015-07-15 | 2015-07-30 | June round |
2015-08-15 | 2015-08-30 | July ound |
2015-09-15 | 2015-09-30 | August round |
2015-10-15 | 2015-10-30 | September round |
2015-11-15 | 2015-11-30 | October round |
2015-12-15 | 2015-12-30 | November round |
2016-01-15 | 2016-01-30 | December round |
Start | End | Cycle |
---|---|---|
2015-01-01 | 2015-01-31 | January |
2015-02-01 | 2015-02-28 | February |
2015-03-01 | 2015-03-31 | March |
2015-04-01 | 2015-04-30 | April |
2015-05-01 | 2015-05-31 | May |
2015-06-01 | 2015-06-30 | June |
2015-07-01 | 2015-07-31 | July |
2015-08-01 | 2015-08-31 | August |
2015-09-01 | 2015-09-30 | September |
2015-10-01 | 2015-10-31 | October |
2015-11-01 | 2015-11-30 | November |
2015-12-01 | 2015-12-31 | December |
Face-to-face [f2f]
The distribution and collection of questionnaires is under the supervision of the Provincial and Regional Offices.
The PPS went through the regular clearance process. It utilizes a shuttle type questionnaire with approval number and expiration date. For the 2015 PPS, the approval number is PSA-1261 with expiration date of 31 March 2015.
The field offices distribute the questionnaires at the beginning of the year and collects the data on a monthly basis.
The field offices distribute the questionnaires at the beginning of the year and collects the data on a monthly basis.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA |
Data Processing
It is important to verify the reasonableness and reliability of the prices of products included in the market basket for a given month. Data editing consisted of three stages: field editing, office verification and machine validation.
Field editing of data was done by the provincial staff upon collection of the accomplished questionnaires from the establishments. The objective is to check for completeness and consistency of entries in the questionnaires. Any inconsistent or missing data was corrected at this stage as this can be immediately verified from the respondents.
Office verification was done by provincial office staff upon receipt of the accomplished questionnaires from the field men. In some instances, callback to the establishments in the form of phone call or email to verify some inconsistent or missing data is done.
Desk verification was done by the ISD staff to check the consistency and reasonableness of entries in the accomplished questionnaires. This process also validates the status of establishments such as non-responding and reported closed, cannot be located, transferred, and out of scope. The telephone was extensively utilized to verify information from the establishment's contact person. The Internet was also used to obtain information on the contact address and to research for information on the status of the establishment.
Missing prices for products of sample establishments are estimated using the short-term geometric mean of the actual prices of responding samples within the same industry class. Revisions to the preliminary estimates are done upon receipt of actual reports from late responding establishments.
Field editing of data was done by the provincial staff upon collection of the accomplished questionnaires from the establishments. The objective is to check for completeness and consistency of entries in the questionnaires. Any inconsistent or missing data was corrected at this stage as this can be immediately verified from the respondents.
Office verification was done by provincial office staff upon receipt of the accomplished questionnaires from the field men. In some instances, callback to the establishments in the form of phone call or email to verify some inconsistent or missing data is done.
Desk verification was done by the ISD staff to check the consistency and reasonableness of entries in the accomplished questionnaires. This process also validates the status of establishments such as non-responding and reported closed, cannot be located, transferred, and out of scope. The telephone was extensively utilized to verify information from the establishment's contact person. The Internet was also used to obtain information on the contact address and to research for information on the status of the establishment.
Missing prices for products of sample establishments are estimated using the short-term geometric mean of the actual prices of responding samples within the same industry class. Revisions to the preliminary estimates are done upon receipt of actual reports from late responding establishments.
Data Appraisal
The quality of the PPI indicators are measured in terms of the following:
> Representativeness of the samples as measured in the CONCENTRATION RATIO- the combined production value of the samples as a percentage to the total industry production value
> Response rate of the survey
> Imputation method used for non-responses
> Representativeness of the samples as measured in the CONCENTRATION RATIO- the combined production value of the samples as a percentage to the total industry production value
> Response rate of the survey
> Imputation method used for non-responses
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@census.gov.ph | www.psa.gov.ph |
Authorization to use this data in the form of statistical tables is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately reported to the PSA.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the PSA.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately reported to the PSA.
Philippine Statistics Authority, Producer Price Survey 2015 (PPS 2015), Version 2.1 of the public use dataset (2015), provided by the PSA Data Archive. www.psa.gov.ph/psada
Disclaimer and copyrights
The PSA gives no warranty that the data are free from errors. Hence, the PSA shall not be held responsible for any loss or damage as a result of the client's manipulation or tabulation of the data.
(c) 2015, Philippine Statistics Authority
contacts
Name | Affiliation | URI | |
---|---|---|---|
Industrial Statistics Division | Philippine Statistics Authority | mfg.staff@psa.gov.ph | www.psa.gov.ph |