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Producer Price Survey for Manufacturing 2013

Philippines, 2013 - 2014
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Reference ID
PHL_2013_PPS_v01_M
Producer(s)
Philippine Statistics Authority
Metadata
DDI/XML JSON
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
1621
Downloads
375
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Data appraisal
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Identification

    Survey ID number

    PHL_2013_PPS_v01_M

    Title

    Producer Price Survey for Manufacturing 2013

    Country
    Name Country code
    Philippines PHL
    Study type

    Enterprise Survey [en/oth]

    Series Information

    In 1980, studies on the generation of the producer price index (PPI) started when the Index of Physical Volume of Production series being generated by the then Central Bank of the Philippines was discontinued. This came about because of the transfer of responsibility of operations and processing of the Monthly Survey of Establishments (MSE) for Manufacturing from the Central Bank to the National Census and Statistics Office (later the National Statistics Office).

    Work on the original PPI started with 1978 as the base year and was later revised to 1985. The source of data for the PPI was the then Monthly Survey of Establishments (MSE) for Manufacturing. The MSE has a rider questionnaire, which asked for data on production of major products of the sample establishmnets. However, the PPI were never released as official statistics. It was later felt that the components of the PPI were no longer reflective of the prevailing production structure of the manufacturing sector that the PPI operations were halted.

    In 1992-1993, the compilation of the PPI with 1992 as the base year was revived in a project "Improvement of the Producer Price Index of Selected Manufactured Products" through the Grants-in-Aid Program of the National Statistical Coordination Board (NSCB). The NSO with guidance from the Technical Committee on Price Statistics of NSCB worked for further improvements to the PPI to make it more reflective of the actual situation of the manufacturing sector. The conduct of the Producer Price Survey started in 1992 as the source of data for the PPI. Starting with this new base year, the PPI was officially released simultaneous with the SKEM indicators. (The SKEM was later renamed to MISSI).

    In 2001, the NSO released the rebased series of the PPI with 1994 as the new base year. The 1992 - based series continued on until December 2001 and was discontinued the year after. The 1994-based series had January 1998 as its earliest series.

    In 2005, re-basing of PPI series to base year 2000 started and it was in August 2007 when this new base period was released in parrallel with the 1994-based series. The 2000-based series had January 2001 as its earliest series. Beginning January 2008, the 1994-based series were discontinued.

    Abstract

    The Philippine Statistics Authority generates various establishment based price indices and one of these is the Producers Price Index. The 2013 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 2013, the survey covered 595 sample products produced by 309 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:

    • measures monthly or yearly changes in the producers prices of key commodities in the manufacturing sector;
    • serves as deflator to Value of Production Index (VAPI) in the estimation of Volume of Production Index (VOPI);
    • 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 2013 PPI, the weights are taken from the 2010 Annual Survey of Philippine Business and Industry (ASPBI). The revision of weights , are however instituted at the beginning of each year and are used for the entire year.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    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

    Version Description

    v 2.1: Edited dataset, for public use

    Version Date

    2014-12

    Scope

    Notes

    The following items of data are gathered from the respondent establishment:

    • ECN
    • product number
    • year/month
    • producer prices of selected products
    Topics
    Topic Vocabulary
    Mining, manufacturing, construction Philippine Statistics Authority

    Coverage

    Geographic Coverage

    National

    Universe

    The 2013 PPS covers formal sector manufacturing establishments with total employment of 20 and over.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Philippine Statistics Authority National Economic and Development Authority
    Funding Agency/Sponsor
    Name Role
    Government of the Philippines Full funding

    Sampling

    Sampling Procedure

    The 2013 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 employemeny of 50 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. preferably, the establishment is a sample of the MISSI.

    The 2013 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 2013 MISSI/PPS.

    Response Rate

    The average monthly response rate is 88.84%, 35 days (preliminary tabulation) after the reference month and 95 % for the final table.

    Weighting

    Not applicable.

    Survey instrument

    Questionnaires

    The PPS went through the clearance process of the National Statistical Coordination Board (NSCB). It utilizes a shuttle type questionnaire with NSCB approval number and expiration date. The field offices distribute the questionnaires at the beginning of the year and collects the data on a monthly basis.

    Data collection

    Dates of Data Collection
    Start End Cycle
    2013-02-15 2013-02-28 January 2013 round
    2013-03-15 2013-03-30 February 2013 round
    2013-04-15 2013-04-30 March 2013 round
    2013-05-15 2013-05-30 April 2013 round
    2013-06-15 2013-06-30 May 2013 round
    2013-07-15 2013-07-30 June 2013 round
    2013-08-15 2013-08-30 July 2013 round
    2013-09-15 2013-09-30 August 2013 round
    2013-10-15 2013-10-30 September 2013 round
    2013-11-15 2013-11-30 October 2013 round
    2013-12-15 2013-12-30 November 2013 round
    2014-01-15 2014-01-30 December 2013 round
    Time Method

    Collection of data is done every 10th day to 45th day after the reference month. While the generation and analysis of data is done after 50 to 55 days after the reference month. Therefore, dissemination of preliminary result is due every 55 days after the reference month at NSO website in a form of Press Releases.

    Also, MISSI publication is done 9 months after the reference year.

    Time periods
    Start date End date Cycle
    2013-01-01 2013-01-31 January 2013 round
    2013-02-01 2013-02-28 February 2013 round
    2013-03-01 2013-03-31 March 2013 round
    2013-04-01 2013-04-30 April 2013 round
    2013-05-01 2013-05-31 May 2013 round
    2013-06-01 2013-06-30 June 2013 round
    2013-07-01 2013-07-31 July 2013 round
    2013-08-01 2013-08-31 August 2013 round
    2013-09-01 2013-09-30 September 2013 round
    2013-10-01 2013-10-31 October 2013 round
    2013-11-01 2013-11-30 November 2013 round
    2013-12-01 2013-12-31 December 2013 round
    Data Collectors
    Name
    Philippine Statistics Authority
    Supervision

    The distribution and collection of questionnaires is done under the supervision of the Provincial and Regional Offices.

    Data processing

    Data Editing

    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.

    For unit or item non-response, the following are undertaken:

    • Establishments that stopped operation, temporary out of business, on strike, etc., during the year, historical imputation without trend adjustment or the use of the latest available data of the establishment. This method is appropriate for the reason that the prices of a number of products/commodities do not change very much over a short period of time.
    • Imputed values are revised upon receipt of actual data for inclusion in the revised indices.

    Data appraisal

    Estimates of Sampling Error

    Not applicable.

    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.

    Data Access

    Access authority
    Name Affiliation URL Email
    National Statistician Philippine Statistics Authority www.psa.gov.ph info@census.gov.ph
    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Republic Act no.10625 (Philippine Statistical Act of 2013). Section 26 of RA 10625 and Article 55 of the Implementing Rules and Regulations of same Act state that: "Individual data furnished by a respondent to statistical inquiries, surveys and censuses of the PSA shall be considered privileged communication and as such shall be inadmissible as evidence in any proceeding. The PSA may release aggregated information from statistical inquiries, surveys and censuses in the form of summaries or statistical tables in which no reference to an individual corporation, association, partnership, institution or business enterprises shall appear..."
    Access conditions

    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.
    Citation requirements

    Any report, paper or similar articles, whether published or not, emanating from the use of this data shall give appropriate acknowledgement as suggested herein, "2013 Producers Price Index of Seleted Industries, Philippine Statistics Authority, Manila, Philippines", as the source of basic data. The data user or client is encouraged to provide PSA with a copy of such report, paper or article. It is understood that unless expressly allowed by the client, such report, paper or article shall not be used for any purpose other than monitoring.

    Disclaimer and copyrights

    Disclaimer

    The data users/researchers acknowledge that the PSA bear(s) no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.

    Copyright

    The data user acknowledges that any available intellectual property rights, including copyright in the data are owned by the Philippine Statistics Authority.

    Contacts

    Contacts
    Name Affiliation Email URL
    Chief, Industrial Statistics Division Philippine Statistics Authority mfg.staff@psa.gov.ph www.psa.gov.ph
    Chief, Knowledge Management and Communication Division Philippine Statistics Authority info@psa.gov.ph www.psa.gov.ph
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