lessons from the eurobarometer 2007 additional analysis from the belgian perspective sergio perelman...
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Lessons from the Eurobarometer 2007
Additional analysis from the Belgian perspective
Sergio Perelman
CREPP, HEC-Ecole de Gestion, Université de Liège
Outline
• The Eurobarometer on UDW
• Puzzling results
• The limits of descriptive analysis
• Econometric treatment
• Lessons from the Eurobarometer
• A new survey in Belgium
The Eurobarometer on UDW
• A first international large scale attempt
• UDW dimensions retained
- Demand of services/products
- Supply: UDW as part of salary
Other undeclared activities
• Individual characteristics and perceptions
• An invaluable tool for research purposes
Puzzling results
NORDIC CONTINENTAL SOUTHERN EASTERN UDW
Yes Refusal Yes Refusal Yes Refusal Yes Refusal
DEMAND
Services and Products 20.8 1.1 10.2 2.4 10.1 10.1 11.0 8.3
SUPPLY
Part of salary 2.8 0.6 1.6 3.0 5.7 10.7 12.4 12.3
Other activities 10.7 1.1 4.3 2.2 2.8 4.5 5.5 4.5
NORDIC: DK, FI, SE
CONTINENTAL: AT, BE, DE, FR, LU, NL + UK + IE
SOUHTERN: CY, EL, ES, IT, MT, PT
EASTERN: BG, CZ, LV, LT, HU, EE, PL, RO, SI, SK
UDW and refusal rates
Puzzling results
Occupation UDW (2007)
EFT (2004)
Self-employed 5.4 6.2
Managers 1.9 3.0
Other white collars 28.1 25.8
Manual workers 11.2 12.1
House persons 7.5 7.7
Unemployed 7.9 6.9
Retired 27.6 26.8
Students 10.4 9.5
Other inactive - 1.8
ALL 100.0 100.0
Sample representativityBelgium: Population aged 15+
Puzzling results
NORDIC CONTINENTAL SOUTHERN EASTERN
Risk of being detected
Very high 2.4 7.7 7.1 6.1
Fairly high 18.2 25.7 28.6 23.8
Don’t know 2.8 9.1 14.3 13.1
Expected sanction
Normal tax/contribution 13.2 17.3 28.1 24.0
“ “ “ plus a fine 73.8 65.5 52.5 52.6
Prison 8.5 6.5 4.0 3.6
Don’t know 4.0 9.5 12.7 16.9
Perceptions and institutions
Puzzling results
NORDIC CONTINENTAL SOUTHERN EASTERN
Excellent 76.4 67.5 40.0 47.4
Fair 17.3 22.8 47.2 37.8
Average 5.7 7.9 10.3 12.6
Bad 0.7 1.7 2.5 2.3
Respondents’ cooperation
The limits of descriptive analysis
NORDIC CONTINENTAL SOUTHERN EASTERN Occupation
Yes Refusal Yes Refusal Yes Refusal Yes Refusal
Self -employed 17.8 3.1 10.6 2.7 1.8 5.9 10.2 4.0
Managers 4.9 0.9 2.6 4.7 0.1 4.8 6.6 5.1
Other white collars 8.0 0.8 3.4 2.0 2.0 5.4 5.9 4.7
Manual workers 24.7 0.2 6.3 2.6 3.6 6.0 7.5 5.6
House persons 6.1 5.2 2.4 3.5 2.2 2.3 5.1 2.0
Unemployed 8.5 1.6 5.7 0.9 11.8 7.2 12.3 7.3
Retired 4.3 1.1 1.1 1.6 1.3 4.0 1.2 3.4
Students 22.1 1.2 12.6 1.7 5.6 1.9 4.9 4.8
% UDW Other activities
The limits of descriptive analysis
NORTHERN CONTINENTAL SOUTHERN EASTERN Activity Sectors
Yes Refusal Yes Refusal Yes Refusal Yes Refusal
Construction 9.8 0.0 4.2 3.0 8.0 11.8 21.8 9.4
Industry 1.2 1.3 0.9 2.8 12.0 7.2 9.7 12.4
Household services 0.0 0.0 0.4 1.7 11.4 12.4 2.6 12.8
Transport 2.0 0.0 0.5 0.2 4.1 18.3 17.4 12.0
Personal services 1.8 0.8 1.0 1.8 3.4 4.4 17.7 9.0
Retail 6.6 1.6 3.8 4.9 4.9 12.7 13.2 12.7
Repair services 3.5 0.0 2.0 6.5 0.0 21.7 18.5 8.7
Hotel and restaurant 18.8 1.2 7.5 4.0 1.9 12.6 11.2 8.4
Agriculture 0.0 0.0 0.0 10.9 0.0 16.6 19.9 12.4
Others 0.0 0.0 5.6 18.5 4.2 38.9 9.7 37.8
% UDW Part of salary
Econometric treatment
• Probit/Logit Models
• UDW participation (Demand/Supply)
• Explanatory variables
- age, sex, education, family size, origin
- occupation, economic sector
- urban/rural areas, house ownership
• Control variables
- country dummies
- perceptions, respondents’ cooperation
Econometric treatmentDemand
Serv/Prod UDW
Part of salary UDW
Other activities Variables
Khi2 (Pr> Khi2) Khi2 (Pr> Khi2) Khi2 (Pr> Khi2)
Explanatory variables
Respondent occupation (7) 30.1 *** 4.4 * 124.7 ***
Subjective urbanization (3) 6.0 * 0.5 n.s. 3.4 n.s.
Education (end of) (3) 46.9 *** 8.8 ** 7.8 n.s.
Age (4) 16.8 *** 30.0 *** 108.0 ***
Sex (2) 50.0 *** 24.2 *** 113.8 ***
Born (Country/Europe/Other) 2.7 n.s. 1.8 n.s. 1.3 n.s.
Activities (11) 17.1 * 100.3 *** 89.6 ***
House ownership (2) 17.6 *** 0.8 n.s. 7.2 **
Marital status (3) 3.4 n.s. 0.4 n.s. 15.9 ***
Household composition
Adults 15+ 0.8 n.s. 5.7 ** 0.5 n.s.
Children < 10 2.7 * 1.6 n.s. 2.1 n.s.
Children 10-14 0.0 n.s. 0.6 n.s. 0.7 n.s.
Control variables
Country (27) 475.0 *** 378.5 *** 534.7 ***
Respondent cooperation 36.7 *** 0.7 n.s. 0.5 n.s.
Risk of being detected (6) 375.6 *** 34.0 *** 223.7 ***
Expected sanction (5) 15.9 *** 11.1 ** 40.1 ***
***, **, *: 1%, 5% and 10% Khi2 Test significativity
Econometric treatment
Occupation Age Education
Self -employed + 15-24 +++ < 15 years old - - -
Managers +++ 25-39 +++ 15 – 19 years old - - -
Other white collars +++ 40-54 ++ 20 + years old Ref
Manual workers Ref. 55 + Ref.
House persons +
Unemployed ++ House ownership Sex
Retired = Yes +++ Men +++
Students = No Ref. Woman Ref.
***, **, *: 1%, 5% and 10% Khi2 Test significativity
Undeclared work: Demand of services or products
Econometric treatment
Age Activity Sector
15-24 +++ Construction +++
25-39 +++ Industry =
40-54 ++ Household services =
55 + Ref. Transport ++
Education Personal services ++
< 15 years old ++ Retail +++
15 – 19 years old ++ Repair services +++
20 + years old Ref Hotel/Restaurant +++
Sex Agriculture ++
Men +++ Others Ref.
Woman Ref. DK/Refusal =
***, **, *: 1%, 5% and 10% Khi2 Test significativity
Undeclared work: Part of salary
Econometric treatment
***, **, *: 1%, 5% and 10% Khi2 Test significativity
Undeclared work: Other activitiesOccupation Age Activity Sector
Self -employed + 15-24 +++ Construction +++
Managers - - - 25-39 +++ Industry =
Other white collars - - - 40-54 +++ Household services =
Manual workers Ref. 55 + Ref. Transport =
House persons = Marital status Personal services =
Unemployed = Married/Couple - - - Retail =
Retired - - - Single - - Repair services ++
Students = Other Ref. Hotel/Restaurant =
Sex House ownership Agriculture =
Men +++ Yes - - - Others Ref.
Woman Ref. No Ref. DK/Refusal =
Lessons from the Eurobarometer• Preliminary econometric results
- Allowing to identify several actors’ characteristics
- Demand and supply driven by country specificities
- Perceptions on national institutions mater
- Robust results• Drawbacks
- Too small country sample size
- Limited UDW cases to be analyzed
A new Survey on UDW in Belgium
• Sample design
- Depending on demand and supply specificities studied
- For instance, supply of UDW
• Over sampled characteristics
- Construction, repair services, transport, hotels/restaurants
- Men aged less than 55 years old
- Occupations other than employees