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    A forecasting paper on:

    NON-AGRICULTURALEMPLOYMENT SECTORS

    WITH THE HIGHESTWAGES

    COMPENSATIONNATIONALLY

    DE LA PEA | DOLLETE | TEVES

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    I N T R O D U C T

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    3 MILLION

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    This study is conducted to forecast and gain insights on which non-agricultugives the highest wages and compensation so that the public can decide whether whiengage in. In consideration with the growing unemployment rate and the rise of nstudy is directed to provide a betterprospect for jobs wherein people can obtain greate

    RATIONALE STATEMENT

    This paper aims to forecast the quarterly total cashcompensation index of non-agricultural industry employees

    nationally.

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    5/19O B J E C T

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    GENERAL OBJECTIVES:

    To have knowledge on the amount of:* Compensation of each non-agricultural sector on their respective worker* Wages the workers received from various non-agricultural employment s

    To identify which non-agricultural sector has the higcompensation and wages

    MAIN OBJECTIVE:

    To provide insights to the public on which non-agriculsector would yield the greatest possible income

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    7/19M E T H O D O L

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    DA

    In this research historical quarterly national compensation and wages indices (general) data fromst quart2014) of the Philippines(National Statistics Monthly Journal) with 37 data points will be analyzed. B

    series forecasting will be conducted to forecast Compensation and Wages Index from the 2nd

    quarter of 2014

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    FORECA

    In this research historical quarterly national compensation and wages indices (general) data fromst quart2014) of the Philippines(National Statistics Monthly Journal) with 37 data points will be analyzed. B

    series forecasting will be conducted to forecast Compensation and Wages Index from the 2nd

    quarter of 2014

    TIME SERIES MODEL

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    10/19D A T A P R E S E N T

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    NON-AGR

    0

    5000

    10000

    15000

    20000

    25000

    30000

    35000

    Quarter 1 Quarter 2 Quarter3 Quarter 4

    Mining and Quarrying

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    1000

    2000

    3000

    4000

    5000

    6000

    7000

    8000

    9000

    10000

    Quarter 1 Quarter 2 Quarter 3 Quarter 4

    Manufacturing

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    5000

    10000

    15000

    20000

    25000

    30000

    35000

    40000

    Quarter 1 Quarter 2 Quarter 3 Quarter 4

    Transportation

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    16000

    18000

    Quarter 1 Quarter 2 Quarter 3 Quarte 4

    Wholesale Retail Trade

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    5000

    10000

    15000

    20000

    25000

    Quarter 1 Quarter 2 Quarter 3 Quarter 4

    Construction

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    5000

    10000

    15000

    20000

    25000

    30000

    35000

    40000

    45000

    Quarter 1 Quarter 2 Quarter 3 Quarter 4

    Private Services

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    2000

    4000

    6000

    8000

    10000

    12000

    Quarter 1 Quarter 2 Quarter 3 Quarter 4

    Real Estate

    2005 2006 2007 2008 2009 2010 2011 2012

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    NON-AGR

    0

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    16000

    18000

    20000

    Quarter1 Quarter2 Quarter3 Quarter4

    Finance

    2005 2006 2007 2008 2009 2010 2011 2012