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Cognitive and socio-emotional skills of the Bulgarian workforce Findings from the Bulgarian Longitudinal Inclusive Society Survey (BLISS) Abla Safir June, 2015

Cognitive and socio-emotional skills of the Bulgarian ...pubdocs.worldbank.org/pubdocs/publicdoc/2015/6/3284414350158203… · Cognitive and socio-emotional skills of the Bulgarian

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Cognitive and socio-emotional

skills of the Bulgarian workforce

Findings from the Bulgarian Longitudinal

Inclusive Society Survey (BLISS)

Abla Safir

June, 2015

Outline

2

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

Outline

3

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

Bulgaria’s population is aging and shrinking

4

-40

-30

-20

-10

0

10

Cze

ch

Re

pu

blic

Slo

ve

nia

Slo

va

kia

Hu

ng

ary

Po

land

Esto

nia

Lith

ua

nia

Cro

atia

Ro

ma

nia

Latv

ia

Bu

lgaria

Pe

rce

nt

Population dynamics, 2010-2050

There was a recent shift in labor demand from

low-skill to higher-skill intensive sectors

5

18.3 1713.2

8.95.3

-4.2 -5.9-10.9

-20.1

-39.8-50

-40

-30

-20

-10

0

10

20

30IC

T

Fin

ancia

l se

rvic

es

Real e

sta

te

Busin

ess s

erv

ices

Art

s, e

nte

rta

inm

ent

Tra

de,

tra

nsp

ort

, h

ote

ls

Pub

lic a

dm

inis

tratio

n

Agri

cultu

re

Ma

nufa

ctu

ring

Co

nstr

uctio

n

Cumulative employment growth, 2008-2013

Source: WB calculations based on NSI data

Employment Composition (simple cross country average by type of

occupation)

(2000-2012)

20

25

30

35

40

45

50

Sh

are

in

to

tal e

mp

loym

en

t (%

)

OECD countries

Non-routine cognitive or inter-personal

Routine cognitive or manual

Non-routine manual

20

25

30

35

40

45

50

200020012002200320042005200620072008200920102011

Sh

are

in

to

tal e

mp

loym

en

t (%

)

Developing countries

Non-routine cognitive or inter-personal

Routine cognitive or manual

Non-routine manual

Source: WDR 2016 team, based on ILO KILM data. Skills classification follows Autor (2014).

There are concerns about the preparedness of

Bulgaria’s current workforce…

7

Worker education ranked as the

fourth-most important concern of

Bulgaria’s employers in 2008

This concern was especially

severe in IT sector and some sub-

sectors of manufacturing

… and future workforce to address the

demographic challenge

8

Distribution of students by proficiency level in

math, 2012

Source: PISA 2012 data.

Index of School Social Stratification

Bulgaria has the highest rate of

functional innumeracy in Europe…

…and the highest

level of school social

stratification

Objectives

9

• Examine the skills profile of Bulgaria’s current workforce

• Assess the relationship between skills and labor market

outcomes

Labor force participation

Employability

Public vs private employment

Earnings

Outline

10

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

The three dimensions of skills

11

Cognitive

Involving the use of logical, intuitive and

creative thinking

Problem solving ability (as opposed to having knowledge to solve a

specific problem)

Verbal ability, numeracy, problem solving, memory (working and long-term)

and mental speed

Socio-emotional

“Soft” skills, social skills, life-skills, personality

traits

Openness to experience, conscientiousness,

extraversion, agreeability, emotional

stability

Self-regulation, perseverance, decision making, interpersonal

skills

Technical

Involving manual dexterity and / or the use

of methods, materials, tools and instruments

Technical skills developed through

vocational schooling or acquired on the job

Skills related to a specific occupation (e.g. engineer, economist, IT

specialist, etc)

Socio-emotional skills are important to employers

12

0% 5% 10% 15% 20% 25% 30%

EMEA

Americas

Global

Bulgaria

Asia-Pacific

% of employers citing workplace competencies (soft skills) as reason for difficulty in filling a vacancy

Source: Manpower 2012 data.

Outline

13

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

The Bulgarian Longitudinal Inclusive Society

Survey (BLISS)

Implemented by the World Bank in partnership with

Open Society Institute – Sofia

Builds on the data collected in three rounds of

Bulgaria’s Crisis Monitoring Survey (CMS) in 2010-

2011

Sample: nationally-representative with 2,400 + 300

households in segregated (mostly Roma)

neighborhoods

Questionnaire: Changes focus from crisis impacts to

more structural issues on activation & skills

Innovative module on cognitive and socio-emotional

skills for a nationally-representative sample of the

adult (18-65) population

Cognitive skills assessment in BLISS

• Memory: short-term recall of increasingly longer number sequences, starting with two

numbers and ending with 9 numbers (12 items)

• Semantics: familiarity with synonyms, antonyms, idioms, complex sentence structure (7

multiple-choice items)

• Reading comprehension: ability to respond to questions about a short non-technical text

(5 multiple-choice items)

• Comprehension of tables and charts: ability to understand written instructions and ability

to read a timetable (4 multiple-choice items)

• Numeracy: ability to perform simple calculations (6 multiple-choice items)

What is the promotional price of

one bottle in the package?

Before the sale, how much did

three packages cost?

In cents, what is the reduction in

package price during the sale?

Socio-emotional skills assessment in BLISS (1/2)

Work and learning style factor: captures the individual’s attitude towards work and his

willingness to learn new things. It’s a combination of the following skills:

Conscientiousness: tendency to be organized, responsible, and hardworking (i.e.

When doing a task, are you very careful?).

Openness to experience: tendency to be open to new aesthetic, cultural, or

intellectual experiences (i.e. Are you very interested in learning new things?).

Grit: perseverance and passion for long-term goals (i.e. Do you finish whatever you

begin?).

Achievement-striving: facet of conscientiousness: need for personal achievement

and sense of direction (i.e. Do you do more than what's expected of you?).

Decision making: process of generating solutions and considering future

consequences (i.e. Do you think about how the things you do will affect you in the

future?).

Socio-emotional skills assessment in BLISS (2/2)

Relational factor: captures how the individual socializes. It’s a combination of the following

skills:

Extraversion: orientation of one’s interests and energies toward the outer world of

people and things rather than the inner world of subjective experience;

characterized by positive affect and sociability. (i.e. Are you talkative?).

Agreeableness: tendency to act in a cooperative, unselfish manner (i.e. Are you

generous to other people with your time or money?).

A facet of openness to experience: Do you enjoy beautiful things, like nature, art,

and music?

A facet of decision making: Do you ask for help when you don't understand

something?

Fixed mindset factor: belief that one’s personality is malleable or fixed (i.e. As much

as I hate to admit it, you can’t teach an old dog new tricks. You can’t really change their

deepest attributes).

Outline

18

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

Skills profile: Significant but not perfect

correlation with educational attainment

Notes: Significant differences from base category: * 10%, ** 5%, ***1%. Students aged less than 25 years old have been removed from the sample

******

*** ******

***

*** ***

** ** ****** *** *** *** ***

***

******

-1.5

-1

-0.5

0

0.5

1

1.5M

em

ory

Sem

antics

Re

adin

g o

f te

xts

Re

adin

g o

f o

ther

Nu

mera

cy

Overa

ll cogn

itiv

e

Re

lation

al fa

cto

r

Work

ing

/le

arn

ing s

tyle

facto

r

Fix

ed

min

dse

t fa

cto

r

Cognitive skills Socio-emotional skills

Sta

nd

ard

ized

sco

re

Average skills in Bulgaria's WAP, by Education

Primary or below

Secondary (base)

Bachelor

MA/PhD

Skills profile: Older adults have lower cognitive

but higher socio-emotional skills related to

socializing with others

Notes: Significant differences from base category, controlling for education: * 10%, ** 5%, ***1%.

Students aged less than 25 years old have been removed from the sample

** *** *** ***

***

-0.2

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

Me

mo

ry

Sem

antics

Re

adin

g o

f te

xts

Re

adin

g o

f o

ther

Nu

mera

cy

Overa

ll cogn

itiv

e

Re

lation

al fa

cto

r

Work

ing

/le

arn

ing s

tyle

facto

r

Fix

ed

min

dse

t fa

cto

r

Cognitive skills Socio-emotional skills

Sta

nd

ard

ized

sco

re

Average skills in Bulgaria's WAP, by Age

18-29

30-49 (base)

50-65

Skills profile: Almost no gender differences in

skills

Notes: Significant differences from base category: * 10%, ** 5%, ***1%. Students aged less than 25 years old have been removed from the sample

*

***

-0.15

-0.1

-0.05

0

0.05

0.1

0.15M

em

ory

Sem

antics

Re

adin

g o

f te

xts

Re

adin

g o

f o

ther

Nu

mera

cy

Overa

ll cogn

itiv

e

Re

lation

al fa

cto

r

Work

ing

/le

arn

ing s

tyle

facto

r

Fix

ed

min

dse

t fa

cto

r

Cognitive skills Socio-emotional skills

Sta

nd

ard

ized

sco

re

Average skills in Bulgaria's WAP, by Gender

Men (base)

Women

Skills Matter for the Employment of Men, While

Education Matters More for Women

*

**

**

**

**

**

-0.06

-0.04

-0.02

0

0.02

0.04

0.06

Cognitive skills Relational factor Work/learning style factor Fixed mindset factor

Men

Women

All

Socio-Emotional Skills Matter for the Type of

Employment of Women: Different Skills in the

Public and Private Sectors

**

*

*

-0.08

-0.06

-0.04

-0.02

0

0.02

0.04

0.06

0.08

Cognitive skills Relational factor Work/learning style factor Fixed mindset factor

Men

Women

All

Cognitive and Socio-Emotional Skills Are

Correlated with Earnings

***

**

***

*

***

-0.06

-0.04

-0.02

0

0.02

0.04

0.06

0.08

Cognitive skills Relational factor Work/learning style factor Fixed mindset factor

Men

Women

All

Summary

Being in the labor

force, for working-

age individuals

Being employed, for

active working-age

individuals

Being employed in

the private sector, for

working working-age

individuals

Earnings, for

employed working-

age individuals

Women Men Women Men Women Men Women Men

Cognitive skills

Relational factor

Work/learning style factor

Fixed mindset factor

Secondary education

Post-secondary education

Outline

26

Background: Why do skills matter in Bulgaria?

Definitions: What do we mean by skills?

Data: How do we measure skills?

Findings

Conclusions

Skill formation benefits from earlier investments

and is cumulative

27

Policy implications

28

• Early childhood and formal education:

• Expand access to preschool and early years

programs

• Delay vocationalization / early tracking

• Adapt school curriculum and teaching methods: – To Develop Socio-emotional skills

– For disadvantaged communities

• Active Labor Market Programs:

• Increase Participation

• Incorporate socio-emotional skills interventions*http://documents.worldbank.org/curated/en/2014/11/20426330/developing-social-emotional-skills-labor-market-practice-model

• In 2013, only 7% of Bulgarians aged 18-65

participated in any training to improve their skills in

the previous 12 months

• Reasons for non-participation varied significantly

with the LM status:

Unemployed lacked awareness of any suitable

training

Inactive were not interested in training programs

• There appears to be potential untapped demand

for training

One third of Bulgarians are likely or rather likely to

use PES vouchers to obtain training to improve their

employability

More than half (57.7%) of the unemployed would

be willing to use this service

Source: World Bank staff calculations and assessment

based on BLISS (2013)29

Although participation in ALMPs is low, there is a

latent demand for this service

0%

20%

40%

60%

80%

100%

18-29 30-49 50-65 Total

Reason to use the PES voucher

Other

Get skills in another specialization to get additional job

Personal interest

Get skills in another specialization to get a new job

Increase skills in own specialization to get a new job

Increase skills in own specialization to advance current job

Thank you

For questions and comments please contact

Ulrich Hoerning

[email protected], Tel: +1 202 473 4972

Victoria Levin

[email protected], Tel: +1 202 473 5392

Abla Safir

[email protected], Tel: +1 202 473 6015