Gender Pay Gap - Revision history

Amelievh at 20:06, 16 January 2018

2018-01-16T20:06:04Z

Amelievh at 20:05, 16 January 2018

2018-01-16T20:05:02Z

Amelievh at 20:01, 16 January 2018

2018-01-16T20:01:27Z

Amelievh at 19:59, 16 January 2018

2018-01-16T19:59:30Z

Amelievh at 19:59, 16 January 2018

2018-01-16T19:59:16Z

Amelievh at 19:58, 16 January 2018

2018-01-16T19:58:31Z

Amelievh at 19:49, 16 January 2018

2018-01-16T19:49:52Z

Amelievh at 19:48, 16 January 2018

2018-01-16T19:48:51Z

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Amelievh at 19:45, 16 January 2018

2018-01-16T19:45:49Z

Amelievh at 19:43, 16 January 2018

2018-01-16T19:43:41Z

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← Older revision		Revision as of 20:06, 16 January 2018
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−	Project Name: ~~motherhood pay gap~~	+	Project Name: Gender Pay Gap

	Class: 4IT496 – Simulation of Systems		Class: 4IT496 – Simulation of Systems

@@ Line 252: / Line 252: @@
 =Resource=
 http://ec.europa.eu/justice/gender-equality/files/gender_pay_gap/140227_gpg_brochure_web_en.pdf
 https://bestat.statbel.fgov.be/bestat/crosstable.xhtml?view=5fee32f5-29b0-40df-9fb9-af43d1ac9032
 http://igvm-iefh.belgium.be/sites/default/files/91_-_de_loonkloof_tussen_vrouwen_en_mannen_2016_nl.pdf

@@ Line 177: / Line 177: @@
 ==> '''Total Pay Gap caused by Family Composition''' = INTEG((Single with children*pay gap single mom)+("Single, no children"*Pay gap single woman)+(Couple with children*pay gap coupled mom)+(Couple without children*pay gap coupled women),0)
 =Results=
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 [[File:EducationZoom.jpg]]
 =Conclusion=
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 The easiest way to start closing the pay gap for the government, is reducing the pay gap based on education. Especially for master certificates. This can be explained by the low amount of women having a top function. Changing this is a good start for closing the gap.
 =Code=
+[[Media:PayGapSimulation.zip]]

← Older revision		Revision as of 19:59, 16 January 2018
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	'''Civil state'''		'''Civil state'''
		+

	=Model=		=Model=

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 =Method=
 I chose to work with Vensim, because this problem can be seen as a group of interacting and interdependent problems forming a complex whole. The reasons of the pay gap are caused by other factors etc. This results in a complex whole.
 =Theoretical background and facts=

@@ Line 70: / Line 70: @@
 [[File:causaldiagram.jpg]]
-At the end of 2013, Belgium counted 5 676 207 women. I will use this number because the percentages are also from 2013.  All the data used is completely split up for the sole reason so there is no overlap. To see which part of the pay gap is the biggest, I will divide the Gap the different causes of the gap:
+At the end of 2013, Belgium counted 5 676 207 women. I will use this number because the percentages are also from 2013.  All the data used is completely split up for the sole reason so there is no overlap. To see which part of the pay gap is the biggest, I will divide the Gap the different causes of the gap.
 Women’s working population = 0.572 * 5 676 207
@@ Line 176: / Line 178: @@
 =Results=
 I first did a simulation of everything how it is set, and we call this ‘Base’. We will use base to compare with the other data:
 Pay gap is increasing with time, but that is not what we are researching. We will look at the differences of the pay gap when changing certain parameters.
@@ Line 203: / Line 207: @@
 All the graphs increase or decrease in the same way and order. But some of them slightly more than the others. The increase and decrease of the pay gap for education has the biggest influence on the total pay gap. If you increase the gross hourly pay gap of this cause, the pay gap increases a lot. Followed by the cause Age. For decreasing we find the same conclusions.
 To check which of the factors within Education (high school, bachelor, master) has the biggest impact, you change each of the three factors separately:
@@ Line 211: / Line 218: @@
 . Decrease Master pay gap with 10%
 It is to small to see on this graph, so we zoom in: You see that decreasing the master pay gap has the biggest influence on closing the pay gap. Decreasing high school pay gap has the smallest influence.
 =Conclusion=

← Older revision		Revision as of 19:49, 16 January 2018
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−	==> '''Pay Gap Caused by Age''' = INTEG(("-25""Pay Gap -25")+("25-34""Pay gap 25-34")+("35-44""Pay gap 35-44")+("45-54""Pay gap 45-54")+("55-	+	==> '''Pay Gap Caused by Age''' = INTEG(("-25""Pay Gap -25")+("25-34""Pay gap 25-34")+("35-44""Pay gap 35-44")+("45-54""Pay gap 45-54")+("55-64"*"Pay gap 55-64"),0)
−	64"*"Pay gap 55-64"),0)
−

	== Pay Gap caused by Education ==		== Pay Gap caused by Education ==

@@ Line 26: / Line 26: @@
 The total pay gap in 2013 was 8,432 billion euros. This amount can be split up by different reasons:
 '''Part-time working.'''
 Reasons of part-time working:
 - Childcare: 21%