National_Pride_Large

→ Data/Data_directory.xlsx ↘

Data/Data_directory.xlsx open
file:data:xlsx

All properties
key	content
N	47
_runCommand	import excel
datasignature	47:5(92177):1149745584:184050503
date	Wed Oct 22 07:39:00 EST 2014
lastmodified	1413927540000
variables	5

Variable Graph Type N Descriptives Label

[+] A
@Data_directory.xlsx

identifier
(str45)

23
(23)

All properties
key	content
N	23
N_unique	23
class	identifier
example0	Topic
freq	1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
type	str45
values	"Better Life Index", "Capital stock", "Education by funding source and type", "Educational attainment", "Educational expenditure", "Enabling environment index", "Health expenditure", "Key short term indicators", "Migration - Immigrants by citizenship and age", "Migration - Immigrants by duration of stay", "Migration - Immigrants by labour force status", "Migration - Immigrants by occupation", "Migration - Immigrants by sector", "Migration - Immigrants by sex and age", "Migration - Immigration - by field of study", "Migration - International migration database", "Population - historical and projected", "Population - total", "Revenue - taxation revenue", "Social expenditure", "Taxing wages", "Topic", "World Bank World Governance Indicators"

Data Manipulations with A
file	#	command

Script Output

@freq 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
@values "Better Life Index", "Capital stock", "Education by funding source and type", "Educational attainment", "Educational expenditure", "Enabling environment index", "Health expenditure", "Key short term indicators", "Migration - Immigrants by citizenship and age", "Migration - Immigrants by duration of stay", "Migration - Immigrants by labour force status", "Migration - Immigrants by occupation", "Migration - Immigrants by sector", "Migration - Immigrants by sex and age", "Migration - Immigration - by field of study", "Migration - International migration database", "Population - historical and projected", "Population - total", "Revenue - taxation revenue", "Social expenditure", "Taxing wages", "Topic", "World Bank World Governance Indicators"
@example0 Topic
@type str45
@label 
@class identifier
@N_unique 23
@N 23

[+] B
@Data_directory.xlsx

identifier
(str62)

21
(21)

All properties
key	content
N	21
N_unique	21
class	identifier
example0	Filename
freq	1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
type	str62
values	"AWCOMP_data_taxing_wages2013.csv", "BLI_Data_Better_Life_Index_2013.csv", "BLI_Data_Better_Life_Index_2014.csv", "CHAPTER_A_EAG2014_data.csv", "CHAPTER_B_EAG2014_data.csv", "CapitalStocks103Countries.xlsx", "DIOC_CITIZEN_AGE_Data_Immigrants_by_citizenship_and_age.csv", "DIOC_DURATION_STAY_Data_Immigrants_by_duration_of_stay.csv", "DIOC_FIELD_STUDY_Data_Immigrants_by_field_of_study.csv", "DIOC_LFS_Data_Immigrants_by_labour_force_status.csv", "DIOC_OCCUPATION_DET_Data_Immigrants_by_detailed_occupation.csv", "DIOC_SECTOR_Data_23ab2a1d-61d4-4aad-ab94-59b2ef6e905b.csv", "DIOC_SEX_AGE_Data_0c235453-be88-40ea-9f17-f434f9e0a061.csv", "EnablingEnvironmentIndex109.xlsx", "EnablingEnvironmentIndexdata223.xlsx", "Filename", "KEI_Data_Key_Short_Term_Indicators.csv", "MIG_Data_International_Migration_Database.csv", "RFIN1_education_funding_type2011.csv", "SHA_Data_Health_Expenditure2013.csv", "wgi_data.dta"

Data Manipulations with B
file	#	command

Script Output

@freq 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
@values "AWCOMP_data_taxing_wages2013.csv", "BLI_Data_Better_Life_Index_2013.csv", "BLI_Data_Better_Life_Index_2014.csv", "CHAPTER_A_EAG2014_data.csv", "CHAPTER_B_EAG2014_data.csv", "CapitalStocks103Countries.xlsx", "DIOC_CITIZEN_AGE_Data_Immigrants_by_citizenship_and_age.csv", "DIOC_DURATION_STAY_Data_Immigrants_by_duration_of_stay.csv", "DIOC_FIELD_STUDY_Data_Immigrants_by_field_of_study.csv", "DIOC_LFS_Data_Immigrants_by_labour_force_status.csv", "DIOC_OCCUPATION_DET_Data_Immigrants_by_detailed_occupation.csv", "DIOC_SECTOR_Data_23ab2a1d-61d4-4aad-ab94-59b2ef6e905b.csv", "DIOC_SEX_AGE_Data_0c235453-be88-40ea-9f17-f434f9e0a061.csv", "EnablingEnvironmentIndex109.xlsx", "EnablingEnvironmentIndexdata223.xlsx", "Filename", "KEI_Data_Key_Short_Term_Indicators.csv", "MIG_Data_International_Migration_Database.csv", "RFIN1_education_funding_type2011.csv", "SHA_Data_Health_Expenditure2013.csv", "wgi_data.dta"
@example0 Filename
@type str62
@label 
@class identifier
@N_unique 21
@N 21

[+] C
@Data_directory.xlsx

identifier
(str79)

18
(18)

All properties
key	content
N	18
N_unique	18
class	identifier
example0	Years
freq	1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
type	str79
values	"1950-2050", "1970-2011", "1973-2012", "1995-2009, although not a complete dataset for all these years", "1995-2012", "1996-2012", "2000-2011", "2000-2013", "2010-2011", "2011-2012", "2013", "2014", "?", "Data is very patchy, one ob for 1995, then 2000, then 2008, then yearly to 2011", "In most cases, 2000, then 2005-2012, but some cases have an ob for 1995 as well", "In some cases, 2005-20011, in some cases, from 1998-2011", "Index calculated in 2013", "Years"

Data Manipulations with C
file	#	command

Script Output

@freq 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
@values "1950-2050", "1970-2011", "1973-2012", "1995-2009, although not a complete dataset for all these years", "1995-2012", "1996-2012", "2000-2011", "2000-2013", "2010-2011", "2011-2012", "2013", "2014", "?", "Data is very patchy, one ob for 1995, then 2000, then 2008, then yearly to 2011", "In most cases, 2000, then 2005-2012, but some cases have an ob for 1995 as well", "In some cases, 2005-20011, in some cases, from 1998-2011", "Index calculated in 2013", "Years"
@example0 Years
@type str79
@label 
@class identifier
@N_unique 18
@N 18

[+] D
@Data_directory.xlsx

category
(str68)

24
(6)

"(109 means on 109 countries, 223..", "World Bank"

All properties
key	content
N	24
N_unique	6
class	category
freq	1, 1, 1, 19, 1, 1
type	str68
values	"(109 means on 109 countries, 223 means calculated for 223 countries)", "Berlemann and Wesselhoeft, personal communication", "Civicus website", "OECD stats database", "Source", "World Bank"

Data Manipulations with D
file	#	command

Script Output

@freq 1, 1, 1, 19, 1, 1
@values "(109 means on 109 countries, 223 means calculated for 223 countries)", "Berlemann and Wesselhoeft, personal communication", "Civicus website", "OECD stats database", "Source", "World Bank"
@type str68
@label 
@class category
@N_unique 6
@N 24

[+] E
@Data_directory.xlsx

identifier
(str376)

23
(23)

All properties
key	content
N	23
N_unique	23
class	identifier
example0	Use in EVC
freq	1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
type	str376
values	"A breakdown of age and sex of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do ", "A breakdown of immigrants by labour force status - might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "A breakdown of occupation of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do ", "A breakdown of sectors of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do ", "A dataset that contains all the inflows of immigrants, stock of foreign born, acquisition of nationality", "Another possible test of how the index is correlated with WDIs or measures of wellbeing or self reported happiness", "Gives a breakdown of how long immigrants have been in the country might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "Gives a breakdown of the field of study for immigrants - might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "Historical breakdown of population data as well as projected population until 2050. Breakdown by gender, and then by all persons", "I don't know whether we would use this directly to estimate anything in the EVC. This might also be a test to see if EVC is correlated", "In case we wanted to compare the different levels of education spending with where the spending is coming from, eg, local, state, federal", "Information on tax rates, broken down by specific family types", "Net public spending as a percentage of GDP", "Not sure how useful this is, but it gives a breakdown of immigrants, their country of origin, and level of education", "Population taken at mid year, at 1 jan, at 31 Dec, net growth in population, net migration, natural increase in population, broken down by gender and also figures for all persons", "The access to capital stocks across countries would have a differential effect on opportunities and ability to access infrastructure - increased access to infrastructure reduces the transaction costs of activities (business or otherwise)", "This gives the US PPP expenditure on different types of students (primary, secondary, tertiary) but only in the year 2011. It also gives the change in expenditure, and it gives the percentage of Public expenditure on education as a percentage of total public expenditure, but only for selected years. I don't know if the WDI is any better", "This has health expenditure per capita, in national currency units, in US PPP$, general govt expenditure per capita (which would obviously be handy for calculation of EVC, the problem is that the data is only for a few years", "Total taxation revenue collected, broken down by level of government and whether it was a social security collection", "Use in EVC", "Various indicators, not sure how useful they are", "We can use this to work out the educational attainment for different cohorts, ages, or even as the probability that someone 25 years old who comes from a specific country will have tertiary education", "We could test how the EEI is correlated with the EVC, although some of the factors that go into making up the EEI will also be used to calculate the EVC. The idea is that some of these indicators of wellbeing might have more in common with the EVC than does GDP per capita -maybe it's not how much money people are making, it's what they are getting in return for their money "

Data Manipulations with E
file	#	command

Script Output

@freq 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
@values "A breakdown of age and sex of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do  ", "A breakdown of immigrants by labour force status - might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "A breakdown of occupation of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do  ", "A breakdown of sectors of immigrants -might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do  ", "A dataset that contains all the inflows of immigrants, stock of foreign born, acquisition of nationality", "Another possible test of how the index is correlated with WDIs or measures of wellbeing or self reported happiness", "Gives a breakdown of how long immigrants have been in the country  might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "Gives a breakdown of the field of study for immigrants - might be useful in determining the different EVC achieveable from moving about between countries, as in the citizenship premium if we wanted to do such a thing of course", "Historical breakdown of population data as well as projected population until 2050. Breakdown by gender, and then by all persons", "I don't know whether we would use this directly to estimate anything in the EVC. This might also be a test to see if EVC is correlated", "In case we wanted to compare the different levels of education spending with where the spending is coming from, eg, local, state, federal", "Information on tax rates, broken down by specific family types", "Net public spending as a percentage of GDP", "Not sure how useful this is, but it gives a breakdown of immigrants, their country of origin, and level of education", "Population taken at mid year, at 1 jan, at 31 Dec, net growth in population, net migration, natural increase in population, broken down by gender and also figures for all persons", "The access to capital stocks across countries would have a differential effect on opportunities and ability to access infrastructure - increased access to infrastructure reduces the transaction costs of activities (business or otherwise)", "This gives the US PPP expenditure on different types of students (primary, secondary, tertiary) but only in the year 2011. It also gives the change in expenditure, and it gives the percentage of Public expenditure on education as a percentage of total public expenditure, but only for selected years. I don't know if the WDI is any better", "This has health expenditure per capita, in national currency units, in US PPP$, general govt expenditure per capita (which would obviously be handy for calculation of EVC, the problem is that the data is only for a few years", "Total taxation revenue collected, broken down by level of government and whether it was a social security collection", "Use in EVC", "Various indicators, not sure how useful they are", "We can use this to work out the educational attainment for different cohorts, ages, or even as the probability that someone 25 years old who comes from a specific country will have tertiary education", "We could test how the EEI is correlated with the EVC, although some of the factors that go into making up the EEI will also be used to calculate the EVC. The idea is that some of these indicators of wellbeing might have more in common with the EVC than does GDP per capita -maybe it's not how much money people are making, it's what they are getting in return for their money "
@example0 Use in EVC
@type str376
@label 
@class identifier
@N_unique 23
@N 23

Content



>  * A do file to run the standard stats for a whole data set. 
>  *
>  * Note that you must delete the files in the derived directory
>  * for changes to be reflected in the output.
>  *
>  * @version 0.1
> */
. 

Contains data
  obs:            47                          
 vars:             5                          
 size:        29,610                          
Sorted by:  
     Note:  dataset has changed since last saved
@N 47
@variables 5
  47:5(92177):1149745584:184050503
@datasignature 47:5(92177):1149745584:184050503
panel variable not set; use xtset varname ...
.

- - Tokens
    Data Data directory directory directory xlsx xlsx

File Data_directory.xlsx

Script Output

Script Output

Script Output

Script Output

Script Output

Content

Tokens