LocationandEconomicActivitycodes xFurthercourseworkguide1 xBBS_5_ECOReferralCoursework1 xLithuaniadofile.doLFSquestionnaire
Write a REPORT in a word document with the support of STATA to analyse and answer 4 main questions as a MINIMUM: 1. What are the returns to education working in the Lithuanian labour market in 2004? Are there differences due to gender, or ethnicity? Explain and discuss. 2. Is there any evidence of wage discrimination within the labour market of Lithuania in 2004 based on age, gender, and ethnicity? 3. Examine and discuss the differences between tenure and work experience in helping to determine the wage in the labour market. 4. Examine and discuss the differences between working part-time and full-time in the labour market. This examination could look at the differences in wage between the groups; differences due to gender, ethnicity, or location, to name a few Please look through the material underneath to make sure you understand and can utilise and complete this efficiently.
****************************** Economic Activity at 2 digit level *******************;
gen econ =int(k7/10);
gen agfish=1 if econ<=5;
replace agfish=0 if agfish==.;
gen manufac=1 if econ>=15 & econ<=37;
replace manufac=0 if manufac==.;
gen electric=1 if econ==40;
replace electric=1 if econ==41;
replace electric=0 if electric==.;
gen mineconst=1 if econ==45;
replace mineconst=1 if econ==10;
replace mineconst=1 if econ==11;
replace mineconst=1 if econ==12;
replace mineconst=1 if econ==13;
replace mineconst=1 if econ==14;
replace mineconst=0 if mineconst==.;
gen retail=1 if econ==50;
replace retail=1 if econ==51;
replace retail=1 if econ==52;
replace retail=0 if retail==.;
gen hotel=1 if econ==55;
replace hotel=0 if hotel==.;
gen finance=1 if econ>=65 & econ<=74;
replace finance=0 if finance==.;
gen pubadmin=1 if econ==75;
replace pubadmin=0 if pubadmin==.;
gen educa=1 if econ==80;
replace educa=0 if educa==.;
gen health=1 if econ==85;
replace health=0 if health==.;
gen service=1 if econ>=90 & econ~=.;
replace service=0 if service==.;
gen transport=1 if econ>=60 & econ<=64;
replace transport=0 if transport==.;
gen sector=1 if agfish==1;
replace sector=2 if manufac==1;
replace sector=3 if electric==1;
replace sector=4 if mineconst==1;
replace sector=5 if retail==1;
replace sector=6 if hotel==1;
replace sector=7 if finance==1;
replace sector=8 if pubadmin==1;
replace sector=9 if educa==1;
replace sector=10 if health==1;
replace sector=11 if service==1;
******************************* Occupation at 2 digit level *************************;
*1110 are senior legislators and government officials but we only have listed 110 which I think is a mistake. Should
be 1110 NOT 110;
replace k8=1110 if k8==110;
gen occ= int(k8/1000);
gen admin=1 if occ==1;
replace admin=0 if admin==.;
gen prof=1 if occ==2;
replace prof=0 if prof==.;
gen clerk=1 if occ==3;
replace clerk=0 if clerk==.;
gen sell=1 if occ==4;
replace sell=0 if sell==.;
gen agfishocc=1 if occ==5;
replace agfishocc=0 if agfishocc==.;
gen craft=1 if occ==6;
replace craft=0 if craft==.;
gen plant=1 if occ==7;
replace plant=0 if plant==.;
gen element=1 if occ==8;
replace element=0 if element==.;
***************************** Location of where the Individual lives *******************;
destring territory_code, replace;
gen alytus_=1 if territory_code==110 | territory_code==150 | territory_code==334 | territory_code==594 | territory_code==384 | territory_code==157 | territory_code==337 | territory_code==597 | territory_code==387;
replace alytus_=0 if alytus_==.;
gen kaunas_=1 if territory_code==190 | territory_code==120 | territory_code==464 | territory_code==494 | territory_code==524 | territory_code==534| territory_code==694 | territory_code==724 | territory_code==127 | territory_code==467 | territory_code==497 | territory_code==527 | territory_code==537 | territory_code==697 | territory_code==727;
replace kaunas_=0 if kaunas_==.;
gen klaipeda_=1 if territory_code==210 | territory_code==230 | territory_code==250 | territory_code==554 | territory_code==564 | territory_code==754 | territory_code==884 | territory_code==557 | territory_code==567 | territory_code==757 | territory_code==887;
replace klaipeda_=0 if klaipeda_==.;
gen marijampole_=1 if territory_code==180 | territory_code==484 | territory_code==584 | territory_code==844 | territory_code==394 | territory_code==187 | territory_code==487 | territory_code==587 | territory_code==847 | territory_code==397;
replace marijampole_=0 if marijampole_==.;
gen panevezys_=1 if territory_code==270 | territory_code==364 | territory_code==574 | territory_code==664 | territory_code==674 | territory_code==734 | territory_code==367 | territory_code==577 | territory_code==667 | territory_code==677 | territory_code==737;
replace panevezys_=0 if panevezys_==.;
gen siauliai_=1 if territory_code==290 | territory_code==324 | territory_code==474 | territory_code==544 | territory_code==654 | territory_code==714 | territory_code==914 | territory_code==327 | territory_code==477 | territory_code==547 | territory_code==657 | territory_code==717 | territory_code==917;
replace siauliai_=0 if siauliai_==.;
gen taurage_=1 if territory_code==944 | territory_code==634 | territory_code==874 | territory_code==774 | territory_code==947 | territory_code==637 | territory_code==877 | territory_code==777;
replace taurage_=0 if taurage_==.;
gen telsiai_=1 if territory_code==614 | territory_code==684 | territory_code==744 | territory_code==784 | territory_code==617 | territory_code==687 | territory_code==747 | territory_code==787;
replace telsiai_=0 if telsiai_==.;
gen utena_=1 if territory_code==300 | territory_code==344 | territory_code==454 | territory_code==624 | territory_code==824 | territory_code==434 | territory_code==347 | territory_code==457 | territory_code==627 | territory_code==827 | territory_code==437;
replace utena_=0 if utena_==.;
gen vilnius_=1 if territory_code==010 | territory_code==134 | territory_code==424 | territory_code==854 | territory_code==894 | territory_code==864 | territory_code==794 | territory_code==814 | territory_code==414| territory_code==137| territory_code==427| territory_code==857| territory_code==897 | territory_code==867 | territory_code==797 | territory_code==817 | territory_code==417;
replace vilnius_=0 if vilnius_==.;
assert loc_~=0;
****************************** One variable for territory of where the Individual LIVES *************;
gen loc_=1 if vilnius_==1;
recode loc_ .=0;
recode loc_ 0=2 if alytus_==1;
recode loc_ 0=3 if kaunas_==1;
recode loc_ 0=4 if klaipeda_==1;
recode loc_ 0=5 if marijampole_==1;
recode loc_ 0=6 if panevezys_==1;
recode loc_ 0=7 if siauliai_==1;
recode loc_ 0=8 if taurage_==1;
recode loc_ 0=9 if telsiai_==1;
recode loc_ 0=10 if utena_==1;
assert loc_~=0;
FurtherGuide
You may organise your report as follows;
Session 1. Introduction
· Lithuanian labour market
· Mincer wage equation:
Session 2. Returns to education
Link theories (human capital and signalling theories) to empirical results.
Session 3. Wage discrimination
Link human capital model to empirical results.
Session 4. Tenure & work experience
Link human capital model to empirical results.
Session 5. Differences in wage between groups
Differences in education, sex, occupation, industry etc.
Session 6. Conclusion
Appendices (e.g. robustness checks)
References
Borjas, G. (2016) Labor economics. 7th ed. New York, N.Y: McGraw-Hill Education.
Outreg2
Please download this file from Princeton University.
https://www.princeton.edu/~otorres/Outreg2
Now, outreg2 is a user-written do-file for Stata (i.e. it was not written by the Stata Corporation but by a user of Stata). As such, you need to download this onto your version of Stata that you use.
Click on the Help tab in Stata:
Click on Search
Search for outreg2
Then, fifth result down:
Click on the link
Now click on install
Click here
You can now type help outreg2 at the command line for details on how to use this package. However, I give you details below.
STUDY AND ADAPT THIS DO-FILE!!
#delimit;
drop _all;
capture
log close;
version 15.1;
*log results to a file called Lithuania.log;
log using “I:\LSBU\Econometrics\coursework example\lecture4.log”, replace;
*Loading the data set;
use “I:\LSBU\Econometrics\coursework example\lecture4.dta”,clear;
*******************************************************************;
*Generating variables;
gen wage=k18;
What is the difference between tenure and work experience? Which economic theories do these variables imply?
gen lnwage=log(wage);
gen tenure=2004-k26;
gen tensq=tenure*tenure;
gen exp=2004-k79;
gen expsq=exp*exp;
gen gender=1 if sex==2;
replace gender=0 if gender==.;
gen education=k77;
What is the command cd?
*******************************************************************;
What is ib1. representing? In Stata, search for Factor Variables for an explanation
*Doing analysis;
reg lnwage gender tenure tensq;
*Changing directory to my USB pen;
cd ” “I:\LSBU\Econometrics\coursework example”;
outreg2 using results1 , replace;
reg lnwage gender tenure tensq ib1.education;
outreg2 using results1 , append;
*******************************************************************;
log close;
*Saving the data under a different name;
save ” I:\LSBU\Econometrics\coursework example\seminar4.dta”, replace;
Do you understand what is happening here?
Results Generated
You should get a set of results like this. If you don’t, put your hand up in class next week!
(1)
(2)
VARIABLES
lnwage
lnwage
gender
-0.221***
-0.280***
(0.0174)
(0.0161)
tenure
0.0255***
0.0181***
(0.00294)
(0.00269)
tensq
-0.000529***
-0.000388***
(8.88e-05)
(8.09e-05)
2.education
-0.564***
(0.204)
3.education
-0.843***
(0.227)
4.education
-0.832***
(0.205)
5.education
-0.976***
(0.204)
6.education
-1.055***
(0.205)
7.education
-1.046***
(0.204)
8.education
-1.139***
(0.205)
9.education
-1.143***
(0.208)
10.education
-1.114***
(0.223)
11.education
-1.148***
(0.242)
12.education
-1.263***
(0.205)
13.education
-1.445***
(0.231)
14.education
-1.133**
(0.498)
Constant
6.418***
7.428***
(0.0175)
(0.203)
Observations
3,442
3,442
R-squared
0.065
0.240
Standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1
From this table you should now be able to make the table look real professional. Marks will definitely be lost for those students who simply copy and paste and do not leave professional looking results in their report.
What does this mean?
Session 2018/2019, Semester 2 |
Coursework |
Module: |
Introduction to Econometrics |
Module Code: |
BBS_5_ECO |
Instructions to Students · You are to write: · a professional REPORT in a Word document of approximately 2000 words. Marks will be awarded for presentation as well as content. · in a separate text file, you are to save your do-file(s) that you used to (a) generate the data used in your analysis, and that you used to (b) analyse the data. The do file(s) should also show how you created any figures that are used in the REPORT. · You are to upload through Moodle: All work analysing the data will be conducted in the econometric package Stata, version 15.1, available in all London Road computer suites, the Library, and the Learning Resource Centre. |
The REPORT will have as its title:
“An Examination of the Lithuanian Labour Market during the first quarter of 2004”
You will use the data set supplied in Excel format that can be found on the Moodle site. No other data is to be used apart from this data set. This is an authentic household labour force survey data set purchased for research purposes.
You will aim, as a minimum, to answer four main questions. Using a Mincer wage equation:
1. What are the returns to education working in the Lithuanian labour market in 2004? Are there differences due to gender, or ethnicity? Explain and discuss.
2. Is there any evidence of wage discrimination within the labour market of Lithuania in 2004 based on age, gender, and ethnicity?
3. Examine and discuss the differences between tenure and work experience in helping to determine the wage in the labour market.
4. Examine and discuss the differences between working part-time and full-time in the labour market. This examination could look at the differences in wage between the groups; differences due to gender, ethnicity, or location, to name a few.
Many other questions can be addressed which could add content to the report especially when writing the general introduction to the labour market in Lithuania. Students should read the questionnaire for inspiration but as a minimum, the above four questions should be addressed
in detail
.
Advice to Students
· Be sure to use Equation Editor for writing out the functional form and specification of your estimating equations. The preceding is not optional. You must use Equation Editor.
· Whether you use standard errors, t values, or p values be clear to state what you have used but use one of the preceding.
· Report and explain the F statistic in any estimating equation.
· Explicitly comment in the report whether heteroscedasticity is an issue at any time and if so what you did about it. Report your tests for heteroscedasticity and make sure that these tests can be seen in the do file.
· Explicitly comment in the report whether multicollinearity was an issue at any time and if so what you did about it. Report your tests for heteroscedasticity and make sure that these tests can be seen in the do file.
· You should test to see whether the data you use in any estimating equation is actually normally distributed or not. Make sure you report the test and that the code can be seen in the do file.
· Make sure to comment on the goodness of fit of your estimating equations.
· Be clear in your report what hypothesis is being tested and whether you are using a one-tailed or two-tailed test for your hypothesis testing.
· Conduct tests of misspecification on any estimating equations. Make sure you report the test and that the code can be seen in the do file.
· Always interpret your estimated equations.
· Draw conclusions from your interpretations at the appropriate point in your report.
· Make recommendations at the appropriate point in your report.
· Always label your graphs, figures and diagrams. Insert tables of figures, equations, and tables at the start after your table of contents.
· The report should be a maximum of 2,000 words long excluding references and appendices. Near the start of your report there must be a table of contents. To generate a Table of Contents in Word use the Table of Contents feature:
If you have never used this before then go to:
Students who do not have a Table of Contents will have marks deducted.
Additional advice will be given in the seminar classes which you need to attend.
·
Check your spelling before submission using the spellchecker in Microsoft Word
. This is meant to be a professional report you are writing. Write in paragraphs.
· The REPORT should be referenced at the end using the Harvard Referencing style. Details of how to reference can be found at:
https://my.lsbu.ac.uk/my/wcm/connect/9c19919b-d27d-430e-b821-
0e71bcecae22/harvard-referencing-helpsheet ?MOD=AJPERES
(Or simply Google Harvard Referencing LSBU to get the appropriate LSBU pdf file.)
Marking Criteria
Research (uncovering of information) 5 Marks
Systematic identification and use of a range of academic textbooks, many of which will be econometric textbooks, although not exclusively. Marks are awarded for the range of econometric and academic textbooks utilized and suitably referenced. Additional marks will be awarded to students who quote and utilize from econometric journals, although it is expected that at this study level this may be the exception rather than the rule. No marks are awarded for information gleaned from the Internet. Use of EconLit is encouraged and the only online information that will be allowed in this coursework has to be found through EconLit. If you reference an article, it should be a book available from the University library or available through EconLit.
Analysis 30 Marks
Analysis here refers to the examination, interpretation, and discussion of the results of your empirical econometric investigation as it relates to the assessment brief, where sources of material are both of a theoretical and empirical nature.
By results is meant not just regression results but tables of frequencies, and graphs produced using the data supplied for the coursework.
Subject Knowledge 30 Marks
Understanding and application of subject knowledge and underlying principles. Note that a student may state relevant knowledge in answering the coursework question, but may not apply such knowledge sufficiently in the analysis: having knowledge does not guarantee analysis. In addition, the application of subject knowledge will require technical competency which is explained below.
Technical Competency 15 Marks
This criteria is defined as the demonstration of the skills to enable the evaluation and execution of ideas appropriate to the assessment; E.g. well-thought out specifications are required for this econometric exercise; appropriate mathematical equations; appropriate theoretical diagrams which help answer the coursework question; logical analysis and discussion using appropriate theoretical concepts for discursive or quantitative style assessments; use of mathematical techniques where appropriate in more quantitative assessments. All tables, and diagrams, must be constructed by yourself and not copied and pasted.
Under this criteria, the Stata do file and Stata log file submitted will also be evaluated. The do file must contain a “date stamp” in its list of commands.
The preceding is not an exhaustive list.
Communication and Presentation 20 Marks
Clarity of purpose in the exposition of the assessment; skills in the selected mode of media in which the assessment is conducted (e.g. Equation Editor and drawing facility in Word both professionally utilized); awareness and adoption of appropriate conventions (e.g. use of Harvard referencing; punctuation, grammar, and English prose that reads well); awareness of the nature of the audience (is the assessment for the lecturer; a ‘public’ report; an academic audience); work approaching expected employer standards or publication standards in academic journals.
Under no circumstances should any figure be copied and pasted into the final coursework document that has not been created in the econometric package Stata. This includes tables of results generated within Stata. Appropriate do files should be used for producing results in a Word document. Marks will be deducted if this is not adhered to.
(
2
)
#delimit;
drop _all;
capture log close;
version 15.1;
*log results to a file called Lithuania.log;
log using “I:\LSBU\Econometrics\coursework example\Lithuania.log”, replace;
*Loading the data set;
use “I:\LSBU\Econometrics\coursework example\Lithuania.dta”,clear;
*Generating variables;
gen wage=k18;
gen lnwage=log(wage);
gen tenure=2001-k26;
gen tensq=tenure*tenure;
gen exp=2001-k79;
gen expsq=exp*exp;
gen gender=1 if sex==2;
replace gender=0 if gender==.;
gen education=k77;
*Doing analysis;
reg lnwage gender tenure tensq;
*Changing directory to my USB pen;
cd “I:\LSBU\Econometrics\coursework example”;
outreg2 using results1 , replace;
reg lnwage gender tenure tensq ib1.education;
outreg2 using results1 , append;
*******************************************************************;
log close;
*Saving the data under a different name;
save “I:\LSBU\Econometrics\coursework example\Lithuania1.dta”, replace;
Approved by order
No
.
2
1
3
adopted on
8
December
20
03 by the Director General
of Statistics
Lithuania
STATISTICS LITH
UA
NIA
Employment Statistics division
Gedimino av. 2
9
, 2
7
4
6
Vilnius
LABOUR FORCE SAM
PL
E SURVEY GU
–
0
1
Territory code |
Reference week |
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Name of municipality, local administrative, village |
No . quarter |
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2 00 4 |
– | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
year month day month day |
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Give back: by 1
5 day on the morrow of month |
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Household No. |
Persons interviewed: 15 years old and over |
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Respondent code |
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Sex |
male |
1 |
female |
2 |
Confidentiality is guaranteed |
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Date of birth (day, month, year) |
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Personal code |
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EMPLOYMENT (Persons interviewed: 15 years old and over) |
1 |
Did you have a job for pay or profit during the reference week, or did you contribute family business or farm or were not working, but had a job or business? |
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Yes |
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No | ||||||||||||||||||||||||||||||||||||||||||||||
3 |
Was a conscript on compulsory military or community service |
49 |
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2 |
Did you work during the reference week? |
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6 | ||||||||||||||||||||||||||||||||||||||||||||||
Was not working because on lay-off |
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5 |
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3 |
Are you going to receive ≥ 50 % of wage from your employer? |
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4 |
4 |
Do you have an assurance of return to work within a period of 3 months ? |
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5 | Why did you do no work in your job last week? | ||||||||||||||||||
Slack work for technical or economic reasons |
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Labour dispute |
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School education or training |
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Own illness, injury or temporary disability |
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Maternity or parental leave |
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Holidays |
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7 |
Other reasons |
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8 |
Bad weather |
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9 |
Compensation leave (within the framework of working time banking or an annualised hours contract) |
EMPLOYMENT CHARACTERISTICS OF THE MAIN JOB | ||||
What is a full name of your working place? |
||||
Code of enterprise |
||||
Main economic activity: |
||||
Code of activity |
||||
Your occupation, position, work: |
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Code of occupation |
||||
Give a short description of your job: |
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10 |
10 |
Are you working for a state – owned enterprise or a private company? |
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State (where>50% of capital is held by the state/public institution) |
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Private (in private or public limited company /agricultural partnership/ sole proprietorship/ hold a license, own a farm, etc.) |
11 |
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11 |
Country of place of work: |
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Lithuania | ||||||||
Town, local administration, village |
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K11A |
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Code of the territory |
12 |
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Other country |
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Name of country |
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K11B |
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Code of country |
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12 |
During the past four weeks have you worked at home? |
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Sometimes |
13 |
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Never |
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13 |
During the past four weeks have you worked in the evening? | |||||||
14 |
||||||||
14 |
During the past four weeks have you worked at night? |
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15 |
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15 |
During the past four weeks have you worked on Saturdays? |
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16 |
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16 |
During the past four weeks have you worked on Sundays? |
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17 |
17 |
During the reference week were you: |
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Employee , working by written agreement |
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18 |
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Employee, working by verbal agreement |
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Farmer without employees |
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Small farmer |
26 |
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Holding a patent |
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Other person working as self-employed without employees |
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Self-employed with employees |
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Family worker |
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25 |
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Farmer with employees |
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18 |
What is your monthly pay from your main job? |
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litas |
19 |
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19 |
Do you receive any additional payments from your main job? |
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(13th and 14th salary, bonuses four annual work results, dividends, bonus shares) |
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20 |
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20 |
Do you receive any sickness, disability or invalidity allowances? |
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21 |
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21 |
During the past four weeks have you worked shift work? | |||||
22 |
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22 |
Your work: |
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A permanent job or work contract of unlimited duration |
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Temporary job/work contract of limited duration |
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23 |
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23 |
Your job temporary, contract of limited duration, because: |
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A contract covering a period of training |
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Could not find a permanent job |
||||||
Did not want a permanent job |
24 |
|||||
No reason given |
||||||
A contract for a probationary period |
24 |
Total duration of temporary job: |
|||||
Less than one month |
||||||
If you are working less than 3 years, specify number of months |
||||||
K24A |
months | |||||
If you are working more than 3 years, specify number of years |
||||||
K24B |
years | |||||
25 |
How many people are working at your place of work, including yourself? |
|||||
Less than 10 persons (exact number of persons) |
||||||
K25A | persons | |||||
11 to 19 persons |
||||||
20 to 49 persons |
||||||
50 persons or more |
||||||
Do not know, but less than 11 persons |
||||||
Do not know, but more than 10 persons |
||||||
26 |
In which year did you start working in this job? |
|||||
year |
27 |
|||||
27 |
In which month did you start working for this employer or as self-employed? |
|||||
(Specify, if the person worked less than 2 years). |
||||||
month |
28 |
|||||
28 |
In the reference week did you work full-time or part-time? |
|||||
Part-time |
29 |
|||||
Full-time, your working week usually is less than 40 hours |
30 |
|||||
Full-time, your working week usually is 40 hours or more |
34 |
|||||
29 |
Part-time job which was taken because: |
|||||
Undergoing school education or training |
||||||
Of own illness or disability |
||||||
Could not find a full-time job |
||||||
Did not want a full-time job |
||||||
Other reasons | ||||||
Looking after children or incapacitated adults |
||||||
30 | Would you like to work more hours each week than you do currently? | |||||
No | ||||||
Yes |
31 |
|||||
31 |
In what way would you prefer to work more hours? | |||||
At additional job |
||||||
At a job working more hours than at the present job |
32 |
|||||
Only within the present job |
||||||
In any of the above ways |
||||||
32 |
If you found a suitable job, could you start working within two weeks? |
|||||
33 |
||||||
33 |
Why would you not be able to start within the next two weeks? |
|||||
Must complete education or training |
||||||
Must complete compulsory military or community service |
||||||
Personal family responsibilities (including maternity) |
||||||
Own illness or incapacity |
||||||
HOURS WORKED |
34 | How many hours per week do you usually work? | |||||
Usually work: |
||||||
K34A | hours |
35 |
||||
Usual hours cannot be given because hours worked vary considerably from week to week or from month to month |
||||||
35 |
How many hours per week did you actually work during the reference week? |
|||||
Worked K35A |
36 |
|||||
Did not work at all |
39 |
|||||
36 |
During the reference week you actually worked: |
|||||
More than usually |
37 |
|||||
Less than usually |
38 |
|||||
Usual hours | ||||||
Hours worked vary considerably from week to week |
||||||
37 |
Why did you work more than your usual number of hours during the reference week? (specify reason): |
|||||
Variable hours (e. g. flexible working hours) |
||||||
Overtime |
||||||
38 |
Why did you work fewer than your usual number of hours during the reference week? |
|||||
Education or training |
||||||
Variable hours (e.g. flexible working hours) |
||||||
Special leave for personal or family reasons |
||||||
Annual Holidays |
||||||
Bank Holidays |
||||||
Start of/change in job during reference week |
||||||
End of job without taking up a new one during the reference week |
||||||
Your hours vary considerably from week to week or month to month and you did not state a reason for a divergence between the actual and usual hours |
||||||
39 |
How many hours (in total) would you like to work each week? |
|||||
40 |
SECOND JOB |
40 |
Apart from the main job did you have a second job during the reference week for which you were paid or had income (monetary or in kind) or you worked on a farm? |
|
41 |
||
47 |
||
41 |
How many jobs or businesses did you have during the reference week? |
|
Had only one job or business |
42 |
|
Had more than one job or business |
||
42 |
In your second job you are: |
|
Employee | ||
Self-employed without employees |
||
Self-employed with employees (employer) |
43 |
|
Farmer with employees (employer) |
||
43 |
Full name of your secondary workplace or short description of your secondary occupation: |
|
44 |
||
44 |
Main economic activity: |
|
Code of activity |
45 |
|
45 |
Did you actually work during the reference week in your second job? |
|
46 |
||
46 |
Number of hours actually worked in your second job: | |
OTHER JOB |
47 | Are you looking for a second (another job)? | |||
67 |
||||
48 |
||||
48 |
Why are you looking for a second (another) job? | |||
Due to a risk or certainty of loss or termination of present job |
||||
Actual job is considered as a transitional job |
||||
Seeking an additional job to add more hours to those worked in present job |
||||
Seeking a job with more hours worked than at present job |
62 |
|||
Seeking a job with less hours worked than at present job |
||||
Wish to have better working conditions (e.g. pay, working or travel time, quality of work) |
||||
Looking for another job but not giving any reason |
PREVIOUS WORK EXPERIENCE OF PERSON NOT IN EMPLOYMENT |
49 | Existence of previous employment: | |
Has already been in employment |
50 |
|
Has never been in employment (purely occasional work, such as vacation work, compulsory military or community service are not considered as employment) |
||
57 |
||
50 | In which year did you last work? | |
51 |
||
51 |
In which month did you last work? | |
(Specify, if the person left work less than 2 years) |
||
52 |
||
52 |
How many years you don’t work? | |
Less than 8 years |
53 |
|
8 years or longer |
53 |
Why did you leave your (last) job/business? |
Dismissed or made redundant |
|
A job of limited duration has ended, seasonal or casual work |
|
Personal or family responsibilities |
|
Own illness or disability |
|
54 |
|
Early retirement |
|
Normal retirement |
|
Compulsory military or community service |
|
54 |
Professional status in last job: |
Self-employed without employees | |
55 |
|
55 |
Economic activity of the local unit in which you last worked: |
56 |
|
56 |
Occupation of last work: |
SEACH FOR EMPLOYMENT |
57 |
Have you been looking for a job over the last four weeks? |
60 |
|
Not seeking because expected to start within a period of at most three months |
|
Not seeking because expected to start within in a period of more than three months |
|
58 |
|
58 |
Why haven’t you been looking for a job? |
Awaiting recall to work (persons on lay-off) |
|
59 |
|
Retirement |
|
Belief that no work is available |
|
59 |
Even though you haven’t been looking for a job, would you like a job if a suitable one were available? |
Would nevertheless like to work |
|
Do not want to work |
|
60 | |
61 |
61 |
||
62 |
How long have you been looking for work/job? |
|
Search not yet started |
66 |
|
Less than 1 month |
||
Specify number of months, if you have been searching for employment less than 4 years |
||
K62A |
63 |
|
4 years or longer |
||
63 |
Type of employment sought: |
|
As self-employed |
||
Only full-time job is looked for (or has already been found) |
||
Full-time job is sought, but if not available, part-time job will be accepted |
64 |
|
Part-time job is sought, but if not available, full-time job will be accepted |
||
Only part-time job is looked for (or has already been found) |
||
Did not state whether full-time or part-time job is looked for (or has already been found) |
64 |
Which steps have you taken during previous four weeks? |
Contacted the public Labour Exchange to find work |
|
Contacted private employment agency to find job |
|
Applied to employers directly |
|
Asked friends, relatives, etc. |
|
Inserted or answered advertisements in newspapers or journals |
|
Studied advertisements in newspapers or journals |
|
Took a test, interview or examination |
65 |
Looked for land, premises or equipment |
|
Looked for permits, licences, financial resources |
|
Awaiting the results of an application for a job |
|
Waiting for a call from a public employment office |
|
Awaiting the results of a competition for recruitment |
|
Other methods used |
|
65 |
What wage (salary) would satisfy you in your new work? |
Minimum |
|
Less than minimum wage or salary |
|
Would like to have K65A |
|
66 |
What were you doing before you started to look for work? |
Was working (including apprentices, trainees) |
|
Was in full-time education (excluding apprentices, trainees) |
|
Was a conscript on compulsory military or community service | |
Had domestic/family responsibilities |
|
Other (e.g. retired) |
|
Was a convict, returned from prison |
67 |
Registration at a public employment office: |
Person is registered at the National Labour Exchange and receives a benefit or assistance |
|
68 |
|
Person is not registered at the National Labour Exchange but receives a benefit or assistance |
|
Person is registered at the National Labour Exchange but does not receive any benefit or assistance |
|
69 |
|
68 |
Specify, how much do you receive in unemployment allowances each month? (=<250 Litas) |
69 |
Do you receive any additional payment of unemployment allowance? |
70 |
|
70 |
What was your main activity during the reference week? |
Employed |
|
Student |
|
Retired |
|
Disabled |
71 |
In compulsory military or community service |
|
Housekeeping |
|
Inactive person |
|
Unemployed |
EDUCATION |
71 |
Have you been a student in regular education during the last 4 weeks? |
Yes |
72 |
73 |
|
72 |
Where did you study (by levels of education)? |
Primary (ISCED 1) |
|
Lower secondary general (ISCED 2A) |
|
Upper-secondary general (ISCED 3A) |
|
Vocational without completion of lower-secondary (ISCED 2C) |
|
Lower-secondary vocational, Upper-secondary vocation (ISCED 3A, 3C) |
|
Post-secondary vocational (ISCED 4) |
|
Professional colleges (ISCED 5B) |
|
Colleges (higher non-university) (ISCED 5B) |
|
Universities (ISCED 5A) |
|
Doctorate (ISCED 6) |
|
73 |
Did you attend any courses, seminars, conferences and etc.? |
74 |
|
77 |
|
74 |
Number of hours spent on all taught learning activities within the last 4 weeks: |
75 |
|
75 |
Which training courses did you attend? |
Foreign languages |
|
Computer courses |
76 |
Other courses |
|
Visited conferences, seminars, workshops |
76 |
Purpose of the most recent taught learning activity: |
|
Mostly job related |
||
Mostly personal |
||
77 |
Highest level of education or training successfully completed: |
|
University (ISCED 5A) |
||
College (higher non-university) (ISCED 5B) |
||
Professional college (ISCED 5B) |
||
Specialized secondary school (technicum) (ISCED 4) |
||
Post-secondary vocational education (ISCED 4) |
78 |
|
Upper-secondary general education (ISCED 3A) |
||
Upper-secondary vocational education (ISCED 3A) |
||
Lower-secondary vocational education shorter than two years (ISCED 3C) |
||
Lower-secondary vocational education two years and more (ISCED 3C) |
||
Vocational qualification without completion of lower-secondary (ISCED 2C) |
||
Lower-secondary general education (ISCED 2A) |
||
Primary education (ISCED 1) |
80 |
|
Illiterate |
78 |
Field of highest level of education or training successfully completed: |
|
000 |
General programmes |
|
100 |
Teacher training and education science |
|
200 |
Humanities, languages and arts |
|
222 |
Foreign languages |
|
1 |
300 |
Social sciences, business and law |
400 |
Science, mathematics and computing |
|
420 |
Life science (including biology and environmental science) |
79 |
440 |
Physical science (including physics, chemistry and earth science) |
|
460 |
Mathematics and statistics |
|
4 81 |
Computer science |
|
4 82 |
Computer use |
|
500 |
Engineering, manufacturing and construction |
|
600 |
Agriculture and veterinary |
|
700 |
Health and welfare |
|
800 |
Services |
|
90 0 |
Unknown |
|
79 |
In which year your highest level of education or training was successfully completed? |
|
SITUATION ONE YEAR BEFORE SURVEY |
80 |
Situation one year before survey: |
|
Carries out a job or profession, including unpaid work for a family business or holding, including an apprenticeship or paid traineeship, etc. |
||
81 |
||
Pupil, student (full-time education) |
||
In retirement or early retirement |
||
Permanently disabled |
||
In compulsory military service |
83 |
|
Fulfilling domestic tasks |
||
Other inactive person |
||
81 |
Professional status one year before survey: |
|
Self-employed with employees |
82 |
|
Family worker |
||
Farmer with employees | ||
82 | Economic activity of local unit in which a person was working one year before the survey: | |
Code of economic activity |
||
83 |
Country of residence one year before survey: |
|
(Name of town, district) |
||
K83A |
||
Code of the territory |
84 |
|
K83B |
||
Code of country |
MARITAL STATUS |
84 |
Your marital status: |
Single |
|
Married |
85 |
Widowed |
|
Divorced or legally separated |
ETHNICITY |
85 |
Your ethnicity: |
|||
LT |
Lithuanian |
|||
PL |
Polish |
86 |
||
RU |
Russia n |
|||
BY |
Belarus sian |
|||
UA |
Ukrainian |
|||
Other (specify) K85A |
CITIZENSHIP |
86 |
Your citizenship: |
87 |
|
00 |
No citizenship |
Other (specify) K86A |
OTHER INFORMATION |
87 |
Your birthplace: |
|
89 |
||
Russia | ||
Belarus |
90 |
|
Ukraine |
||
Other (specify country) K87A |
||
88 |
How long have you been living in Lithuania? | |
Living in Lithuania years (if less than 10 years) K88A |
||
10 years or more |
89 |
|
89 |
Type of household: |
|
Person is living in private household, ( or permanently in a hotel) and surveyed in this household |
91 |
|
Person is living in another private household on the territory of the Lithuania but surveyed in this household |
||
Person is living in an institution and surveyed in this institution |
||
Person is living in an institution but surveyed in this private household |
90 |
Type of institution: |
Educational institution |
|
hospital |
|
Other welfare institution |
|
Religious institution |
|
Workers’ hostel, working quarters at building sites, etc. |
|
Military establishment |
|
Other (prison),etc. |
|
91 |
You are: |
Reference person (householder – person, whose income is the highest) |
|
Spouse (or cohabiting partner) of reference person |
|
Child of reference person |
92 |
Father, mother, grandparent, great-grandparent of reference person |
|
Other relative (brother, sister, daughter-in- law, son-in-law, etc.) of reference person |
|
No relation (foster-child, lodger, etc.) |
92 |
Nature of participation in the survey: |
|
Direct participation |
93 |
|
Participation via another member of the household |
FAMILY CONNECTIONS |
|
Sequence number of person in the household |
|
94 |
Sequence number of spouse or cohabiting partner |
95 |
Sequence number of father |
96 |
Sequence number of mother |
THANK YOU PARTICIPATING IN THE SURVEY |
Interviewer |
First name, last name |
Date of the interview |
Signature |
Make inquiries by phone: (8~5) 2364 706 |
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