<p>This is more of a logic question than it is a statistics question. I would say that the first point to address would be to define "root cause." Does that mean it is a sufficient condition? A necessary condition? Line of evidence #1 (there exist poor countries with few child labourers) precludes the possibility that child labour is a necessary condition of poverty as clearly poverty can exist without it. #2 reinforces that conclusion (again, poverty existing without child labour, just at a different scale). </p>

<p>Regarding point of evidence #3, I don't see how that is relevant: whether or not some policy exists compelling parents to act in a certain way doesn't affect the relationship between child labour and poverty. </p>

<p>As you allude to above, correlation is not causality. In this case, it seems from the correlation you can make equally strong arguments going both directions: child labour causing poverty; poverty causing child labour. You can make a logical case for it built on case studies, but making a statistical case for causality would require digging much further into the data. </p>

CC BY-SA 3.0
2015-10-08T13:34:00.063Z
`but making a statistical case for causality would require digging much further into the data.` This is also why I asked question in this forum. If it is not too much to ask, can you tell me, what data is required, and what analysis has to be carried out to settle the question, whether poverty is the cause or not? In other words, I want to set my hypothesis to be "Poverty is not the root cause of child labour", what should I do to either prove or disprove it?
claws
CC BY-SA 3.0
2015-10-08T13:39:06.243Z
`... precludes the possibility that child labour is a necessary condition of poverty.` Did you intend to write `... precludes the possibility that poverty is a necessary condition of child labour.`
claws
CC BY-SA 3.0
2015-10-09T18:09:28.050Z
Re 2nd question: No, I believe I meant what I wrote the first time. If you have poverty existing without child labour, then you have proven that child labour is not a necessary condition of poverty (if it were, then poverty would not be able to exist in its absence).
Tim H
CC BY-SA 3.0
2015-10-09T18:09:33.793Z
Re the first question, to be honest, I don't know how you could do this. To really show causality, experimentation would be the way, but you don't have that option here. Perhaps a natural experiment of some kind? (situations where child labour changed due to some outside factor?). Otherwise, difficult (impossible?) to determine direction of causality between two correlated variables.
Tim H
CC BY-SA 3.0
2015-10-08T13:17:52.303Z
2015-10-08T13:17:52.303Z
Tim H
<p>Being poorer makes a person of any age work more (engage less in idleness or the pursuit of pleasure, and more in activities involving sacrifice in order to provide for necessities). This is just common sense.  It doesn't require statistics to understand this, does it?</p>

CC BY-SA 3.0
2015-10-10T01:59:38.657Z
2015-10-10T01:59:38.657Z
Bob
<p>I took statistics class years ago in my college and I don't remember much of it now. I am into public policy research now and I am bit confused about about what conclusion to make from available evidence.</p>

<p><code>Poverty is the 'root cause' of child labour</code> is what is claimed by International Labour organization (ILO) and thus by lot of other countries. Evidence often cited for this is: <em>most</em> of the child labourers are from poor backgrounds in most of the countries where child labour is prevalent. So there is a correlation and for causality, if we think about it, no money => to earn money => all healthy individuals must work including children => child labourers. </p>

<p>Now I've read few research studies which claim that <code>Poverty is not the root cause of child labour</code> and the evidence they cite is, </p>

<ol>
<li>There are poor countries where there is hardly any child labourers. </li>
<li>There are children studying in schools who are lot more impoverished than those who are working.</li>
<li>There doesn't exist a poverty line below which a parent is compelled to send their child to school.</li>
</ol>

<p>So people on this end say, if poverty is the root cause then could we explain this. But this argument could be reversed too. Either way, I'm confused.</p>

<p>How should I go about interpreting and understanding this? </p>

<p>What data is required, and what analysis has to be carried out to settle the question, whether poverty is the cause or not? In other words, I want to set my hypothesis to be "Poverty is not the root cause of child labour", what should I do to either prove or disprove it?</p>

<p>I want to see this to the end. So feel free suggest some readings if you need to.</p>

CC BY-SA 3.0
2015-10-08T12:54:23.710Z
I'm sorry! I really couldn't think of a reasonable title for this question.
claws
CC BY-SA 3.0
2015-10-08T16:37:01.237Z
@gung: Honestly, I too was in confusion regarding where to ask this question. Kindly migrate it to which ever the site where this is appropriate.
claws
CC BY-SA 3.0
2015-10-09T09:47:42.020Z
Do you want to know how to prove/disprove it in general, or in a feasible way that you could actually do? In general, you could set up a field experiment, but that is most likely impossible for you. Otherwise you could try using an instrumental variable, provided you can find one.
BB King
<labor-economics><empirical-evidence><poverty><welfare-economics>
Proving or disproving hypothesis?
claws
# Proving or disproving hypothesis?

(Asked by: username_0 on 2015-10-08)

I took statistics class years ago in my college and I don't remember much of it now. I am into public policy research now and I am bit confused about about what conclusion to make from available evidence.

`Poverty is the 'root cause' of child labour` is what is claimed by International Labour organization (ILO) and thus by lot of other countries. Evidence often cited for this is: *most* of the child labourers are from poor backgrounds in most of the countries where child labour is prevalent. So there is a correlation and for causality, if we think about it, no money => to earn money => all healthy individuals must work including children => child labourers.

Now I've read few research studies which claim that `Poverty is not the root cause of child labour` and the evidence they cite is,

1. There are poor countries where there is hardly any child labourers.
2. There are children studying in schools who are lot more impoverished than those who are working.
3. There doesn't exist a poverty line below which a parent is compelled to send their child to school.

So people on this end say, if poverty is the root cause then could we explain this. But this argument could be reversed too. Either way, I'm confused.

How should I go about interpreting and understanding this?

What data is required, and what analysis has to be carried out to settle the question, whether poverty is the cause or not? In other words, I want to set my hypothesis to be "Poverty is not the root cause of child labour", what should I do to either prove or disprove it?

I want to see this to the end. So feel free suggest some readings if you need to.

**Tags:** labor-economics, empirical-evidence, poverty, welfare-economics

> **Comments:**
> **username_0**: I'm sorry! I really couldn't think of a reasonable title for this question.  
> **username_0**: @gung: Honestly, I too was in confusion regarding where to ask this question. Kindly migrate it to which ever the site where this is appropriate.  
> **username_1**: Do you want to know how to prove/disprove it in general, or in a feasible way that you could actually do? In general, you could set up a field experiment, but that is most likely impossible for you. Otherwise you could try using an instrumental variable, provided you can find one.  

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## 2 answers

### Answer by username_2 on 2015-10-08. Score: 1

This is more of a logic question than it is a statistics question. I would say that the first point to address would be to define "root cause." Does that mean it is a sufficient condition? A necessary condition? Line of evidence #1 (there exist poor countries with few child labourers) precludes the possibility that child labour is a necessary condition of poverty as clearly poverty can exist without it. #2 reinforces that conclusion (again, poverty existing without child labour, just at a different scale).

Regarding point of evidence #3, I don't see how that is relevant: whether or not some policy exists compelling parents to act in a certain way doesn't affect the relationship between child labour and poverty.

As you allude to above, correlation is not causality. In this case, it seems from the correlation you can make equally strong arguments going both directions: child labour causing poverty; poverty causing child labour. You can make a logical case for it built on case studies, but making a statistical case for causality would require digging much further into the data.

> **Comments:**
> **username_0**: `but making a statistical case for causality would require digging much further into the data.` This is also why I asked question in this forum. If it is not too much to ask, can you tell me, what data is required, and what analysis has to be carried out to settle the question, whether poverty is the cause or not? In other words, I want to set my hypothesis to be "Poverty is not the root cause of child labour", what should I do to either prove or disprove it?  
> **username_0**: `... precludes the possibility that child labour is a necessary condition of poverty.` Did you intend to write `... precludes the possibility that poverty is a necessary condition of child labour.`  
> **username_2**: Re 2nd question: No, I believe I meant what I wrote the first time. If you have poverty existing without child labour, then you have proven that child labour is not a necessary condition of poverty (if it were, then poverty would not be able to exist in its absence).  
> **username_2**: Re the first question, to be honest, I don't know how you could do this. To really show causality, experimentation would be the way, but you don't have that option here. Perhaps a natural experiment of some kind? (situations where child labour changed due to some outside factor?). Otherwise, difficult (impossible?) to determine direction of causality between two correlated variables.  

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### Answer by username_3 on 2015-10-10. Score: -1

Being poorer makes a person of any age work more (engage less in idleness or the pursuit of pleasure, and more in activities involving sacrifice in order to provide for necessities). This is just common sense. It doesn't require statistics to understand this, does it?


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