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8/10/2019 FP ppt
1/19
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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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