31-01-2016 10:45 PM |
Unregistered |
an oasis in the mislead search for fame and riches
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26-01-2016 03:15 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
I am with a stats board related enterprise
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Similar to my dad? You work in HDB?
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25-01-2016 05:12 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
Are you running your own construction business with that kind of income?
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I am with a stats board related enterprise
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25-01-2016 03:28 PM |
Unregistered |
Are you running your own construction business with that kind of income?
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25-01-2016 02:37 PM |
Unregistered |
This is a good thread. We should focus more on quality of job.
I am 56 and semi retired (please don't fry my kway tiao)
I am in construction. I earn less than 1000 when I started, now about 8000 +/-.
To me, kids already big. Money has less value.
One incident struck me was,
I realise Singaporean youngsters are very driven, while Malaysian are more contented. Although the Malaysians are paid maybe up to 1k lesser but they are happier. They make lesser job hops and stay in one place for 5-7years. I guess we Singaporean put too much stress into ourselves. If we don't get pay raise or promotion, we take it very seriously.
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25-01-2016 09:42 AM |
Unregistered |
Quote:
Originally Posted by Unregistered
Very true.
Statistics are tools to the users of the tool.
The average wage of Singapore is 3200, and if you get 5200, you are in the top 50 percentile. (source mom wage survey). But when smrt want to raise fare, they use another figure base on another statistics (doesn't the mot and mom coordinate??) they even engage bcg Mc to show the correlation of wage and fare (eyes rolling)
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One statistics per ministry, adjust accordingly
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24-01-2016 05:49 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
true that figures can be massaged but the typical response rate for GES is ~90%. isn't that rather representative of the true performance of the cohort already? trying to bridge the disconnect between GES results and what's offered on the mkt nowadays
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It's not 90%, more of closer to 75%.
But yes, still a rather high %.
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24-01-2016 05:47 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
There could be some bias. Participation in such surveys is usually voluntary. It could be those who do well and who get good jobs responded to the survey. Those still unemployed or in low paying temporary jobs might have chosen not to respond; they are under-represented.
Thus the results are skewed towards the more optimistic side. Especially if the survey is done by recruitment agencies, they are incentivised to dangle a carrot that is larger than reality to attract people to apply for jobs. Tertiary institutions also tend to play up the employability figures and salaries to show their graduates are highly sought after in the job market, to attract potential students. Even figures provided by government may be massaged or presented in some way to manage public sentiments or for political reasons.
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true that figures can be massaged but the typical response rate for GES is ~90%. isn't that rather representative of the true performance of the cohort already? trying to bridge the disconnect between GES results and what's offered on the mkt nowadays
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24-01-2016 04:39 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
Which statistic do they use, don't mind sharing?
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Found it. I think it's the Consumer Price Index (CPI).
Quote:
The recommended revised fare formula is as follows:
Fare Adjustment = Price Index – Productivity Extraction
where Price Index = 0.4 cCPI + 0.4 WI + 0.2 EI
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://.mot.gov.sg/news/FRMC%20Report%201%20Nov.pdf
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24-01-2016 04:24 PM |
Unregistered |
Quote:
Originally Posted by Unregistered
Very true.
Statistics are tools to the users of the tool.
The average wage of Singapore is 3200, and if you get 5200, you are in the top 50 percentile. (source mom wage survey). But when smrt want to raise fare, they use another figure base on another statistics (doesn't the mot and mom coordinate??) they even engage bcg Mc to show the correlation of wage and fare (eyes rolling)
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Which statistic do they use, don't mind sharing?
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