Social Diagnosis Monitoring Quality of Life in Poland · Social Diagnosis (2) 7 survey waves: 2000, 2003, 2005, 2007, 2009, 2011, 2013 (some questions were inherited from a survey

Piotr Białowolski

Warsaw School of Economics

Institute of Statistics and Demography

Social Diagnosis (1) Individual (all household members 16+ years) and

household questionnaire (FKP)

Household: Household composition, Economic (labour market)

activity of households, Nutrition, Wealth incl. Savings and Debts, Housing conditions, Participation in educational services, Culture and leisure, Income situation, Computer and the Internet.

Individual: Health, Human capital, Life satisfaction, Norms, Trust,

Use of financial services, Use of the Internet.

Social Diagnosis (2) 7 survey waves: 2000, 2003, 2005, 2007, 2009, 2011, 2013

(some questions were inherited from a survey „Quality of life of Poland’s households in the transition period” conducted between 1991 and 1997),

Sample size: households - from 3,000 to 12,500 (2009,2011,2013), individuals – from 4,000 to 26,500 (2009,2011,2013),

Panel data,

Weighted in order to replicate households (individual) compositon at the national level but also for individual Voivodeships and the particular classes of place of residence.

DIAGNOZA SPOŁECZNA 2013

Selected results

Life satisfaction (1)

56

61 62

69 69

72

76 78 78 79

9

16

26

20

14 13

19

27 26

23

29

35 34

55

60

63

68

72 74 76

0

10

20

30

40

50

60

70

80

90

1992 1995 1997 2000 2003 2005 2007 2009 2011 2013

%

satisfied with current life

satisfied with situation of the country

households with sufficient incomes


Life satisfaction (2)

55.4

47.5

54.6 56.4 58.6

55.6 60.4

50.2 52.9 54.8 53.9

56.2 58 54.8

22.7 25.6

35.4 37 41.5

47.9 54.9 53.6

0

10

20

30

40

50

60

70

1991 1992 1993 1994 1995 1996 1997 2000 2003 2005 2007 2009 2011 2013

place of residence

state of security


Health status measured by average number of symptoms and the percentage of subjectively satisifed with their health between 2000 and 2013


0.9 0.88

0.84

0.81

0.75

0.69

0.65

65.7 66.1

69.4

70.6

72.3

74.3 74.4

65

67

69

71

73

75

0.6

0.65

0.7

0.75

0.8

0.85

0.9

0.95

1996 2003 2005 2007 2009 2011 2013

% s

atisfied

Nu

mb

er

of

sym

pto

ms

Number of severesymptoms% satisfied with theirhealth

Social trust

10.3 8.4

10.3 12.4

10.5 10.5 11.5

13.4 13.4 12.2 9.3

12.9 13.6 14.1 15.6 15.6 15.2

12.2 12.1

15.1 13.2

14.8 13.7

0

5

10

15

20

25

30

35

1992 1995 1997 2000 2003 2005 2007 2009 2011 2013

% Trusting other members of the society

Socially active

Members of an organization


Trust towards institutions

15.7 26.7 28.1 19.6

35.6 27.2 38.1

48.8 50.6 62 34.3

54.9 56.2

38.7

45.1

33.9 28.3

34 29.7 12.1 50

18.4 15.7

41.7 19.3

38.9 33.6 17.2 19.6 25.9

0102030405060708090

100

No opinion

NO

YES


Assessment of the reforms in Poland after 1989


10.4 7.7 6.1 7.5

10.3 12.5 14

11.7

29.8

47.4

57.4

46.7

40.1 36.3 37.2 44.4

0

10

20

30

40

50

60

70

1997 2000 2003 2005 2007 2009 2011 2013

successful

unsuccessful

Poland is different and very pessimistic

Bovi’s (2009) mantra for European countries:

As usual, it has got worse than I expected. Especially for the OTHERS. Nevertheless, I think that it will get better. Especially for ME.

The same mantra for Poland (Białowolski and Dudek 2008):

As usual, it has got worse than I expected. Especially for ME. Nevertheless, I think that it will get better. Especially for the OTHERS.


Despite social difficulties Poland is moving in a positive direction


The incomes are growing and the inequalities are declining

0 4

13.2

18.6

38.9 44.6

44.1

-6

4

14

24

34

44

54

2000 2003 2005 2007 2009 2011 2013

Cu

mila

ted

% c

han

ge

Year of measure

averageincome

The incomes have increased in the past 13 years by over 44%. Yet the inequalities

from the beginning of the crisis have declined. Gini

coefficient equalled 31.4 (2007); 31.28

(2009); 30.76 (2011) and 29.9 (2013).


Use of new technologies

35.5 43.1

50.8 54.5

60.6 63.8

23.1 33.4 41.8 50.9

60

63.2

29.9

48.1

70.1

78.4 85.1 87.4

2.8

25.1

0

10

20

30

40

50

60

70

80

90

100

2003 2005 2007 2009 2011 2013

%

Computer

Internet

Mobile phone

Smartphone


Changes in the activity of households on the financial market

31.2 34.1 34.2 33.0 30.3 26.6 25.2

6.3 5.8 6.0 8.6 10.4 12.3 11.6

17.4 17.4 17.0 19.4 21.8 25.2 29.0

45.1 42.7 42.8 39.0 37.5 35.8 34.2

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2000 2003 2005 2007 2009 2011 2013

debt only debt and savings

savings only

In March 2013 it was the first time in the history of the

Social Diagnosis Survey that the share of households with

savings (almost 41 %) exceeded the share of households with

debt (36.9 %).

The share of households not participating in the financial

services market declined from 45.1% to merely 34.2%.


Social Dignosis has also its composite indices


Human capital (1) Procedure:

Development of theoretical model of human capital,

Selection of manifest variables to the measurement model,

Verification of correctness of the model with the use of exploratory and confirmatory factor analysis,

Calculation of the composite human capital index using the categorical principal component analysis (CATPCA).

Definition: Human capital defined as the supply of knowledge, skills and qualifications of specific persons, groups of persons and the entire society defining their ability to work, adapt to change and also act creatively.


Human capital (2) Operationalization:

education – measured with the number of years of education completed,

civilizational competence – it was assumed that these are manifested through:

use of internet,

command of English,

participation in life-long learning – a measurement made on the basis of answers on new professional qualifications or other skills gained in the preceding two years.


Human capital – measurement

indicator variable factor loadings

standardized factor loadings

number of years in education 1 0.63

english competences 0.43 0.885

life-long learning 0.344 0.708

computer use 0.423 0.87

internet browser 0.087 0.178

fit indices

CFI = .964 TLI = .953 RMSEA = .076


Participation in the labour force and increasing human capital

41.72 43.76

45.13 45.68

30

35

40

45

50

55

60

2007 2009 2011 2013

Human capital index

overall 15-34 years

35-44 years 45 years and more

Improvement in the overall human capital index has

been mainly due to an upward trend in the use of

ICT technologies and better knowledge of

English language. However, the life-long-lerning is

declining.

Differences between the human capital of those

aged 15-34 and 35-44 decreases. However, those aged 45 and over are not catching up with others.

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Documents

Social Diagnosis Monitoring Quality of Life in Poland · Social Diagnosis (2) 7 survey waves: 2000, 2003, 2005, 2007, 2009, 2011, 2013 (some questions were inherited from a survey