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METHODOLOGY OF
STATISTIC DATA
PROCESSING AND
ANALYSIS
Introduction
Teacher
Responsible instructor: Associate Professor, Dr.oec.
Velga Ozoliņa
Academic:
Assistant professor, Dr.oec.Astra Auziņa-Emsiņa
Consultations: Kalnciema 6 – room 216
Tuesdays at 16:00 – 18:00 (Week 1-12)
Please e-mail me in advance, if you need a consultation
V.Ozolina & A.Auziņa-Emsiņa, Econometrics
Course Structure
Part I: Econometrics
Part II: Other Methods
Final grade = (Part I + Part II)/2
V.Ozolina, Econometrics
Where are we going?
The aim of the study course is to develop competences and skills
for research using appropriate methods of data processing and
analysis. Students will acquire knowledge about social science
research problems, methods, research process, its stages, results,
their reflection.
After completing the study course, students will be able to:
1) select the necessary data for the research in different databases
and analyse them;
2) select the necessary scientific publications necessary for
substantiation of factors and compile them in the Mendeley system;
3) create a regression model, analyse and evaluate it using software
Excel and EViews;
4) collect and present the results of the research.
A.Auziņa-Emsiņa, Econometrics
Learning outcomes
and assessment
Ability to select the necessary data for the research in different databases and analyse them, using software
Excel and EViews. - Practical work on data selection and analysis, test, presentation of the research.
Ability to select the scientific publications necessary for substantiation of the choice of factors and to compile
them in the Mendeley system. - Practical work on the analysis of scientific literature, presentation of the
research.
Ability to create a regression model, analyse and evaluate it, using software Excel and EViews. - Practical
work on the creation, analysis and evaluation of regression equations, test, presentation of the research,
examination.
Ability to summarize and present the results of the research. - Presentation of the research, examination.
Ability to formulate the object of the research, the subject of the research, the aim of the research and the
objectives for reaching the aim. Ability to prepare a research plan. - Tests on the relevant topics.
Ability to choose the most appropriate methods for a particular study. Ability to apply qualitative and
quantitative research methods. - Individual or group research. Presentation. The lecturer analyses and
evaluates the results during the lecture, gives comments.
Ability to use statistical research methods, using software Excel and EViews. Ability to show understanding
of the results, practical solutions, explain them, argue and justify them. - Individual or group test of the
research. Presentation.
A.Auziņa-Emsiņa, Econometrics
Requirements
Practical assignments (5)
Tests (1)
Research report + presentation (1)
Themes
and deadlines in ORTUS, data of your
choice
Evaluation – teacher + colleagues
Exam (20% of the final grade) – open book
V.Ozolina, Econometrics
V.Ozolina & A.Auziņa-Emsiņa, Econometrics
ECONOMETRICS
Introduction
Prior Knowledge
Mathematics
Statistics
V.Ozolina, Econometrics
Econometrics
The science and art of using economic theory
and statistical techniques to analyse economic
data.
Task of econometrics – to model quantitatively
or numerically relations between two or more
variables
V.Ozolina, Econometrics
Quantitative Questions –
Quantitative Answers
Economic theory – established causal
relations
Econometrics – numerically estimated causal
relations at a particular accuracy level
V.Ozolina, Econometrics
Data Types
Cross-Sectional Data
Time Series Data
Panel Data or Cross-Sectional Time Series
Data or Longitudinal Data
V.Ozolina, Econometrics
Cross-Sectional Data: Ratio of
Pupils to Teachers/GDP per capita
V.Ozolina, Econometrics
Time Series Data: Real GDP
Growth Rate (%)
15.0
10.0
Belgium
Bulgaria
Czechia
5.0
Denmark
Germany
Estonia
0.0
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
Greece
Spain
-5.0
France
Croatia
Italy
-10.0
Cyprus
Latvia
Lithuania
-15.0
-20.0
V.Ozolina &A.Auziņa-Emsiņa, Econometrics
Panel Data: Pupil/ Teacher Ratio –
GDP per capita (EUR) ...
V.Ozolina, Econometrics
Time Trend
t = 1, 2, 3, 4, 5, 6, 7, …..
V.Ozolina, Econometrics
Dummies
For 1999
Changing
Stepwise from 2007
V.Ozolina, Econometrics
Dummies
Dummy for 1999
.8
.8
.4
.4
.0
.0
.04
.15
-.4
.10
-.8
.05
-.8
.00
.00
-.02
-.05
-.04
-.10
-.4
.02
-.06
95 96 97 98 99 00 01 02 03 04 05 06 07
Residual
Actual
Fitted
95 96 97 98 99 00 01 02 03 04 05 06 07
Residual
V.Ozolina, Econometrics
Actual
Fitted
Dummies
Dummy from 2009
2400000
2400000
2000000
2000000
1600000
1600000
1200000
1200000
800000
800000
400000
400000
1975 1980 1985 1990 1995 2000 2005 2010 2015
UK
1975 1980 1985 1990 1995 2000 2005 2010 2015
UKF
UK
V.Ozolina, Econometrics
UKF1
Data and units
Data are always linked with the corresponding
units
Euro
persons
Kg
l
%
A.Auziņa-Emsiņa, Econometrics
Data tell stories. But do we listen?
Statistical data describe:
Present situation (Example, GDP of Latvia is 29.5 bil
euro in 2018).
Present dynamics (Example, GDP of Latvia grew by
4.8%in the last year).
Share or proportion = ratio (Example, Government
debt of Latvia is 47.3 % of GDP)
But it is not sound to sum euros with persons.. Units
still matters.
A.Auziņa-Emsiņa, Econometrics
Data always have the source.
Statistical data have the source where they
are obtained (data base; pools/quationairs,
observations etc.).
So data are linked to the Reference.
Even if the person (student, manager,
engineer, researcher) uses the data, the
data still have the source.
A.Auziņa-Emsiņa, Econometrics
Types of data:
Primary
(persons collects the data by him/herself
(observations, questionaires etc.);
Secondary (example, data bases etc.)
Tertiary (example, reports etc.)
A.Auziņa-Emsiņa, Econometrics
Data types in reality
Primary data – the most expensive data type
(time, labour, capital (=money; equipment etc.)
intensive).
Secondary – cheaper data type, most widely
used type in social sciences.
Tertiary – can have only what and how it is..
No way or minimal options to sellect, change
dimensions etc.
A.Auziņa-Emsiņa, Econometrics
In reality
Tradeoffs should be made.
A.Auziņa-Emsiņa, Econometrics
DATA SOURCES
Local Data
Macroeconomic Indicators
Basic indicators, which characterise any
economy, including Latvia:
GDP
Economic
structure
Inflation
Unemployment
Foreign
trade
Government finances
V.Ozolina, Econometrics
Gross Domestic Product (GDP)
Current prices – nominal GDP:
Production
amount in a particular year.
Shows the size of the economy
Is used to calculate economic structure (by
industries).
Constant prices – real GDP:
Production
amount in a particular year expressed
in prices of a base period.
Is used to calculate economic growth (show
dynamics).
V.Ozolina, Econometrics
GDP Dynamics in Latvia, bil.EUR
The size of Latvia in 2018 was
35.0
29.5 bil. €.
Using this number, we can compare
30.0
Latvia with other countries.
25.0
20.0
15.0
10.0
In 2018 the economy of
Latvia grew by 4.8%
5.0
0.0
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Nominālais IKP/ Actual GDP 6.9 7.5 8.4 9.6 11.0 13.6 17.1 22.6 24.4 18.8 17.9 20.3 21.9 22.8 23.6 24.3 25.0 27.0 29.5
Reālais IKP/ Real GDP
12.4 13.2 14.1 15.3 16.6 18.4 20.6 22.6 21.8 18.7 17.9 19.1 19.9 20.3 20.7 21.3 21.8 22.8 23.9
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
GDP Growth Rate, %
15.0
10.0
10.0
6.4
4.0
5.0
3.0
2.4
1.9
2013
2014
4.6
4.8
2017
2018
2.1
0.0
2007
-5.0
2008
2009
-3.5
2010
2011
2012
-3.9
-10.0
-15.0
-14.4
-20.0
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
2015
2016
Data Sources in Latvia
Central Statistical Bureau of Latvia (CSB)
Bank of Latvia
www. financelatvia.eu
The Financial and Capital Market Commission
www.kase.gov.lv
Finance Latvia Association
www.nva.gov.lv
The Treasury
www.bank.lv
State Employment Agency (NVA)
www.csb.gov.lv
www.fktk.lv
...
V.Ozolina, Econometrics
Central Statistical Bureau of Latvia
(CSB)
www.csb.gov.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Central Statistical Bureau of Latvia
(CSB) – Statistics- Statistical Theme
www.csb.gov.lv
V.Ozolina& A.Auziņa-Emsiņa,Econometrics
Central Statistical Bureau of Latvia
(CSB)
www.csb.gov.lv
General Statistics (geography, nature, politics)
Economy and Finance (prices, GDP, investment etc.)
Population and Social Processes (education,
employment, wages etc.)
Industry, Construction, Trade and Services
Statistical Enterprise Register
Transport and Tourism
Foreign Trade
Agriculture, Forestry and Fishing
Environment and Energy
Science and Technology
V.Ozolina, Econometrics
Bank of Latvia
www.bank.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Bank of Latvia
www.bank.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Bank of Latvia
www.bank.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Bank of Latvia
www.bank.lv
Key Macroeconomic Indicators (GDP, ouptut,
unemployment, wages, prices, trade etc.)
Key Indicators of the MFI (Banking) Sector
MFI balance sheet and monetary statistics
Balance of Payments Statistics
Payment Systems Statistics
Securities Statistics
Interest Rate Statistics
Other Financial Intermediaries (OFI) Statistics
Effective Exchange Rates of the Lats
Financial accounts (quarterly)
V.Ozolina, Econometrics
State Employment Agency (NVA)
www.nva.gov.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
State Employment Agency (NVA)
www.nva.gov.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
State Employment Agency (NVA)
www.nva.gov.lv
Registered unemployment rate
Changes in the number of employees foreseen by
employers
The highest number of registered
unemployed/vacancies by professions
Confirmed job calls for foreigners
NVA surveys
Unemployed by gender, period of unemployment,
age, education, profession, and target group
Explanation of unemployment concept
V.Ozolina, Econometrics
The Treasury
www.kase.gov.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Treasury
www.kase.gov.lv
The Treasury`s Annual Public Reports
Monthly Reports on General Government
Consolidated Budget Execution
Annual Reports on Government Debt
Management
Quarterly Bulletins on Debt Management
Monthly Reports on Guarantees
Monthly Reports on Debt
V.Ozolina, Econometrics
Finance Latvia Association
https://www.financelatvia.eu/
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Finance Latvia Association
https://www.financelatvia.eu/
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Financial and Capital Market
Commission
www.fktk.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Financial and Capital Market
Commission
www.fktk.lv
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Financial and Capital Market
Commission
www.fktk.lv
Credit Institutions
Credit Unions
Insurance
Financial Instruments Market
Pension Funds
V.Ozolina, Econometrics
Latvia is only a part of global economy.
There is a whole world out there.
Let’s take a look on international data sources.
A.Auziņa-Emsiņa, Econometrics
DATA SOURCES
International Data
International Data Sources
Eurostat – Statistical Bureau of the EU + ComExt
International Monetary Fund (IMF) – data on ~183 countries
https://www.cia.gov/library/index.html
The Economist
stats.oecd.org
CIA World Fact Book
data.worldbank.org
Organisation for Economic Co-operation and Development (OECD)
www.imf.org
World Bank – more than 300 indicators of ~214 countries, territories and
regions
ec.europa.eu/eurostat
www.economist.com
United Nations Statistics Division (UN)
unstats.un.org
V.Ozolina, Econometrics
Eurostat – Statistical Bureau of the
EU
ec.europa.eu/eurostat
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Eurostat – Statistical Bureau of the
EU
ec.europa.eu/eurostat
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
Eurostat – Statistical Bureau of the
EU
ec.europa.eu/eurostat
General and regional statistics
Economy and finance
Population and social conditions
Industry, trade and services
Agriculture, forestry and fisheries
International trade
Transport
Environment and energy
Science and technology
Tables on EU policy
V.Ozolina, Econometrics
Eurostat – Statistical Bureau of the
EU - ComExt
ec.europa.eu/eurostat
V.Ozolina, Econometrics
Eurostat – Statistical Bureau of the
EU
http://epp.eurostat.ec.europa.eu/newxtweb/
International trade
Indices (NICE)
International Trade in Goods Statistics by Enterprise
Characteristics
Production
NACE Rev. 1.1.
NACE Rev. 2.
V.Ozolina, Econometrics
International Monetary Fund (IMF)
www.imf.org
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
International Monetary Fund (IMF)
www.imf.org
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
International Monetary Fund (IMF)
www.imf.org
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
International Monetary Fund (IMF)
www.imf.org
National Accounts
Monetary
Trade
People
Government finance
Balance of Payments
V.Ozolina, Econometrics
World Bank
data.worldbank.org
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
World Bank
data.worldbank.org
Agriculture and Rural Development
Aid Effectiveness
Climate Change
Ecoomic Policy and External Debt
Education
Energy and Mining
Environment
Financial Sector
Gender
Health
Infrastructure
...
V.Ozolina, Econometrics
OECD
https://data.oecd.org/
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
OECD
https://data.oecd.org/
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
OECD
stats.oecd.org
General Statistics
Agriculture and Fisheries
Demography and Population
Development
Economic Projections
Education and Training
Environment
Finance
Globalisation
...
V.Ozolina, Econometrics
CIA World Fact Book
https://www.cia.gov/library/publications
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
CIA World Fact Book
https://www.cia.gov/library/publications
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
CIA World Fact Book
https://www.cia.gov/library/index.html
Geography
People
and Society
Government
Economy
Energy
Communications
Transportation
Military
Transnational Issues
V.Ozolina, Econometrics
The Economist
www.economist.com
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Economist
www.economist.com
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
The Economist
www.economist.com
GDP
Inflation
Budget
balance
Population
...
V.Ozolina, Econometrics
United Nations Statistics Division
(UN)
unstats.un.org
V.Ozolina& A.Auziņa-Emsiņa, Econometrics
United Nations Statistics Division
(UN)
unstats.un.org
Commodity Trade Statistics Database (COMTRADE)
Census Knowledge Base
Demographic Yearbook system
Distat, the United Nations Disability Statistics
Database
Good practices database
InfoNation
Join Oil Data Initiative (JODI)
...
V.Ozolina, Econometrics