NationMaster - Correlations > Labor > Regulation

	Variable	Strength
...and	Labor > Regulation	60%	[plot \| correlate \| graph]
...and	Education > Mathematical literacy (inverse)	54%	[plot \| correlate \| graph]
...and	Labor > Female doctors	53%	[plot \| correlate \| graph]
...and	Agriculture > Area > Sunflowerseed	49%	[plot \| correlate \| graph]
...and	Education > Scientific literacy (inverse)	47%	[plot \| correlate \| graph]
...and	Agriculture > Production > Sunflowerseed	46%	[plot \| correlate \| graph]
...and	Economy > Business efficiency (inverse)	41%	[plot \| correlate \| graph]
...and	Agriculture > Area > Rye	40%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Property tax (inverse)	40%	[plot \| correlate \| graph]
...and	People > One person households (inverse)	39%	[plot \| correlate \| graph]
...and	Economy > Infrastructure (inverse)	38%	[plot \| correlate \| graph]
...and	Education > Reading literacy (inverse)	37%	[plot \| correlate \| graph]
...and	Environment > Pollution > Nuclear waste (inverse)	36%	[plot \| correlate \| graph]
...and	Health > Health care funding > Public per capita (inverse)	36%	[plot \| correlate \| graph]
...and	Agriculture > Production > Rye	35%	[plot \| correlate \| graph]
...and	Crime > Believe in police efficiency (inverse)	35%	[plot \| correlate \| graph]
...and	Environment > Municipal waste treatment expenditure (inverse)	32%	[plot \| correlate \| graph]
...and	Labor > Long term unemployment	32%	[plot \| correlate \| graph]
...and	Health > Health care funding > Total per capita (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1900 (inverse)	31%	[plot \| correlate \| graph]
...and	Economy > Social security expenditure as % of GDP	30%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Asparagus	29%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Upper secondary	28%	[plot \| correlate \| graph]
...and	Disasters > Funds committed to emergency Tsunami aid (inverse)	27%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Social security > Contribution by employer	27%	[plot \| correlate \| graph]
...and	Economy > Overall productivity > PPP (inverse)	27%	[plot \| correlate \| graph]
...and	Economy > GDP per capita in 1820 (inverse)	27%	[plot \| correlate \| graph]
...and	Health > Probability of not reaching 60	26%	[plot \| correlate \| graph]
...and	Health > Digestive disease deaths	26%	[plot \| correlate \| graph]
...and	People > Couples with children	25%	[plot \| correlate \| graph]
...and	Lifestyle > Political action > Signed a petition (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Working time to buy a refrigerator (inverse)	25%	[plot \| correlate \| graph]
...and	Agriculture > Exports to USA > Mangoes guavas and mangosteens	25%	[plot \| correlate \| graph]
...and	Taxation > Components of taxation > Goods and service tax	24%	[plot \| correlate \| graph]
...and	Economy > Innovation (inverse)	24%	[plot \| correlate \| graph]
...and	People > Divorces per 100 marriages (inverse)	23%	[plot \| correlate \| graph]
...and	Energy > Oil imports > Net (inverse)	23%	[plot \| correlate \| graph]
...and	Lifestyle > Forced retirement during recession	23%	[plot \| correlate \| graph]
...and	Environment > Environmental agreement compliance (inverse)	22%	[plot \| correlate \| graph]
...and	Immigration > Refugees > US applications approved	22%	[plot \| correlate \| graph]
...and	Environment > Pollution > Municipal Waste per capita (inverse)	22%	[plot \| correlate \| graph]
...and	Immigration > Foreign population (inverse)	22%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness level > Not very or not at all happy	21%	[plot \| correlate \| graph]
...and	Labor > Unemployment and education > Tertiary	21%	[plot \| correlate \| graph]
...and	Lifestyle > Happiness net (inverse)	21%	[plot \| correlate \| graph]
...and	Environment > Municipal waste generation (inverse)	21%	[plot \| correlate \| graph]
...and	Economy > Research and development spending (inverse)	21%	[plot \| correlate \| graph]
...and	People > Size of houses (inverse)	21%	[plot \| correlate \| graph]
...and	Taxation > Total taxation as % of GDP	21%	[plot \| correlate \| graph]
...and	Economy > World Trade > Exports > Special transactions nes (inverse)	20%	[plot \| correlate \| graph]
	Average:	31%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. NationMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all countries, rather subsets of countries matched together.

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Detailed correlation information
Map & Graph: countries ranked

NOTES:

Outliers have been removed only where they are outside 3 standard deviations of the mean.
Only variable pairs where at least 15 countries match for each have been considered.
Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

DEFINITION: Nations are listed with a Flexibility of Firing Index between 1 and 100. The higher the index, the more the nation regulates the process of firing employed labor.

SOURCE: The World Bank Group The original methodology and data come from The Regulation of Labor, by Juan Botero, Simeon Djankov, Rafael La Porta, Florencio Lopez-de-Silanes, and Andrei Shleifer. When using the data, please also cite this paper as a reference

Correlations > Labor Statistics > Regulation > Firing

Correlations between Labor > Regulation > Firing ...

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