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11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 11
Evaluating the Total Non-Response Evaluating the Total Non-Response Errors in the European-Union Errors in the European-Union Survey on Income and Living Survey on Income and Living
Conditions (EU-SILC): A Territorial Conditions (EU-SILC): A Territorial Quality ProfileQuality ProfileClaudio Claudio QUINTANOQUINTANO
Rosalia Rosalia CASTELLANOCASTELLANO
Gennaro Gennaro PUNZOPUNZO
European Conference on European Conference on Quality in Official Statistics Quality in Official Statistics
2008 2008 Rome, Italy – July 8-11, 2008Rome, Italy – July 8-11, 2008
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 22
AIM OF THE WORKAIM OF THE WORKEvaluating the ACCURACY of the Italian Section of EU-SILC Evaluating the ACCURACY of the Italian Section of EU-SILC data with focus on the NON-SAMPLING ERRORS deriving data with focus on the NON-SAMPLING ERRORS deriving from the several components of TOTAL NON-RESPONSEfrom the several components of TOTAL NON-RESPONSE
STEPSSTEPS
A SET OF AD HOC BASIC QUALITY INDICATORS A SET OF AD HOC BASIC QUALITY INDICATORS
(HIERARCHICAL FRAMEWORK)(HIERARCHICAL FRAMEWORK)
CLASSES OF SYNTHETIC QUALITY INDICATORSCLASSES OF SYNTHETIC QUALITY INDICATORS
BROKEN DOWN BY DIFFERENT TERRITORIAL LEVELSBROKEN DOWN BY DIFFERENT TERRITORIAL LEVELS
ONE-WAY RANDOM EFFECTS ANOVA MODEL (Singer, 1998)ONE-WAY RANDOM EFFECTS ANOVA MODEL (Singer, 1998)
RANKING ANALYSIS RANKING ANALYSIS TERRITORIAL QUALITY TERRITORIAL QUALITY
PROFILEPROFILE
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 33
EU-SILC: BACKGROUND AND MAIN EU-SILC: BACKGROUND AND MAIN FEATURES OF THE ITALIAN FEATURES OF THE ITALIAN
SEGMENTSEGMENT
PRIMARYSAMPLING
UNITS (PSU)
SECONDARY SAMPLING UNITS(SSU)
HOUSEHOLDSHOUSEHOLDS
A two-stages sampling design…A two-stages sampling design…
……drawn from municipality-drawn from municipality-registers registers
by a systematic samplingby a systematic sampling
MUNICIPALITIESMUNICIPALITIES
……STRATIFIED by STRATIFIED by demographic size, inside demographic size, inside
each NUTS2 regioneach NUTS2 region
288 STRATA288 STRATA
Self-RepresentingSelf-Representing Non Self-RepresentingNon Self-Representing First orderFirst order
Second orderSecond order
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 44
WAVES
LONGITUDINAL SUB-SAMPLES
2004
2005
2006
2007
2008
2009
INTEGRATED DESIGN BASED ON INTEGRATED DESIGN BASED ON FOUR YEARLY ROTATIONAL PANELSFOUR YEARLY ROTATIONAL PANELS
A(4) B(3) C(2) D1
B(4) D2C(3) E1
C(4) D3 E2 F1
D4 E3 F2 G1
E4 F3 G2 H1
F4 G3 H2 I1
CROSS-SECTIONALCROSS-SECTIONAL
WHOLE PANELWHOLE PANEL
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 55
Source: EU-SILC Quality Reports (2004 and 2005)
WavesWaves AA BB CC DD EE Total Total
20042004 7.9567.956 7.9937.993 7.9987.998 8.0458.045 –– 31.99231.992
20052005 –– 6.1796.179 6.1856.185 6.4146.414 8.0088.008 26.78626.786
EU-SILC SAMPLING DESIGN...EU-SILC SAMPLING DESIGN...
Table 1 – PSU stratification...Table 1 – PSU stratification...
Table 2 – Longitudinal replications in terms of Table 2 – Longitudinal replications in terms of SSU...SSU...
STRATASTRATA PSUPSU
Self-RepresentingSelf-RepresentingNon Self-Representing of First orderNon Self-Representing of First orderNon Self-Representing of Second orderNon Self-Representing of Second order
110110 3030148148
110110 6060592592
TotalTotal 288288 762762Source: Author’s elaborations on Istat data
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 66
SAMPLINGSAMPLINGUNITS UNITS
A THEORETICAL FRAMEWORKA THEORETICAL FRAMEWORK
IN-SCOPEIN-SCOPE
RESPONDENTS RESPONDENTS NONNONRESPONDENTS RESPONDENTS
NONNONACHIEVEMENTACHIEVEMENT
NONNONCONTACTEDCONTACTED REFUSEDREFUSED UNABLE TOUNABLE TO
RESPONSERESPONSE
INCORRECTINCORRECTADDRESSADDRESS
NOT LOCATEDNOT LOCATEDADDRESSADDRESS
UNABLE TOUNABLE TOACCESSACCESS
OUT-OF-SCOPEOUT-OF-SCOPE
TEMPORARILYTEMPORARILYNOT-AT-HOMENOT-AT-HOME
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 77
EU-SILC BASIC QUALITY EU-SILC BASIC QUALITY INDICATORSINDICATORS
IN-SCOPERATE
NON-ACHIEVEMENTRATE
REFUSALRATE
UNABLE-TO-RESPONSE RATE
INCORRECT ADDRESS RATE
NOT-LOCATEDADDRESS RATE
UNABLE-TO-ACCESS RATE
OUT-OF-SCOPERATE
TEMPORARILYNOT-AT-HOME
RATE
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 88
A THEORETICAL FRAMEWORKA THEORETICAL FRAMEWORK
IN-SCOPERATE
NON-ACHIEVEMENTRATE
REFUSALRATE
UNABLE-TO-RESPONSE RATE
INCORRECT ADDRESS RATE
NOT-LOCATEDADDRESS RATE
UNABLE-TO-ACCESS RATE
OUT-OF-SCOPERATE
TEMPORARILYNOT-AT-HOME
RATE
unitshouseholdsamplingtotal
unitshouseholdscopein unitshouseholdsamplingtotal
unitshouseholdscopeofout
contactsnonofnetunitsscopein
refusalsdecisive
contactsnonofnetunitsscopein
eparticipattoabilityoflacked
contactsnonofnetunitsscopein
tparticipannonlocatedresidual
unitshouseholdscopein
adresseslocatednot
unitshouseholdscopein
addressesaccesstounable
unitshouseholdscopein
addressesincorrect
contactsnonofnetunitsscopein
eatnotytemporaril
hom
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 99
THE PROCESS OF CONTACTING THE PROCESS OF CONTACTING THE EU-SILC SAMPLE THE EU-SILC SAMPLE
HOUSEHOLDS...HOUSEHOLDS...cross-sectional sample...cross-sectional sample...
20042004 20052005
In-Scope RateIn-Scope RateOut-of-Scope RateOut-of-Scope Rate
99.3699.36 0.640.64
98.8598.85 1.151.15
Source: Author’s elaborations on Istat data
Table 3 – Eligibility RatesTable 3 – Eligibility Rates
Table 4 – Non-Contact RatesTable 4 – Non-Contact Rates20042004 20052005
Not-Located Address RateNot-Located Address RateUnable-to-Access RateUnable-to-Access RateIncorrect Address RateIncorrect Address Rate
0.850.850.240.244.064.06
0.530.530.320.322.302.30
Source: Author’s elaborations on Istat data
unitshouseholdsamplingtotal
scopeofoutaddressesincorrect
0.53%
0.32%
0.30%
DECEASED
INSTITUTIONALIZED
TRANSFERRED
Table 5 – Frame Error RatesTable 5 – Frame Error Rates20042004 20052005
Frame Error RateFrame Error Rate 4.674.67 3.423.42Source: Author’s elaborations on Istat data
-0.32
-1.76
-1.25
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1010
... AND THEIR ACTUAL ... AND THEIR ACTUAL INVOLVEMENTINVOLVEMENT
EU-SILC cross-sectional sample...EU-SILC cross-sectional sample...
20042004 20052005
Refusal RateRefusal RateUnable-to-Response Rate Unable-to-Response Rate Non-Achievement RateNon-Achievement Rate Temporarily Not-at-Home RateTemporarily Not-at-Home Rate
8.628.621.091.099.789.782.732.73
7.747.740.910.915.445.443.713.71
Table 6 – Non-Participation RatesTable 6 – Non-Participation Rates
Source: Author’s elaborations on Istat data
-4.34
NON-ACHIEVEMENT RATE also includes a NON-ACHIEVEMENT RATE also includes a residual share of non-participant households, though residual share of non-participant households, though
successfully contacted, whose reasons are not specifiedsuccessfully contacted, whose reasons are not specified
-0.88
+0.98
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1111
COOPERATIONCOOPERATIONRATERATE
NON COOPERATION RATE
NON ACHIEVEMENT RATE
REFUSALRATE
UNABLE TORESPONSE RATE
householdscontactedlysuccessful
householdserviewedlysuccessful int
... A SYNTHESIS OF THE BASIC ... A SYNTHESIS OF THE BASIC QUALITY INDICATORS: A QUALITY INDICATORS: A
HIERACHICAL APPROACH HIERACHICAL APPROACH
COOPERATION RATECOOPERATION RATE
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1212
NONCONTACT RATE
CONTACTCONTACTRATERATE
INCORRECTADDRESS RATE
NOT LOCATEDADDRESS RATE
UNABLE TOACCESS RATE
... A SYNTHESIS OF THE BASIC ... A SYNTHESIS OF THE BASIC QUALITY INDICATORS: A QUALITY INDICATORS: A
HIERACHICAL APPROACH HIERACHICAL APPROACH
unitshouseholdscopein
householdscontactedlysuccessful
CONTACT RATECONTACT RATE
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1313
RESPONSERATE
CONTACTRATE
COOPERATIONRATE
COMPLETIONRATE
... A SYNTHESIS OF THE BASIC ... A SYNTHESIS OF THE BASIC QUALITY INDICATORS: A QUALITY INDICATORS: A
HIERACHICAL APPROACH HIERACHICAL APPROACH
householdscontactedsuccefully
householdserviewedlysuccessful int
unitshouseholdscopein
householdscontactedlysuccessful
unitshouseholdscopein
householdserviewedlysuccessful
int
x
unitshouseholdsamplingtotal
householdserviewedlysuccessful int
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1414
IN-SCOPEIN-SCOPE
RESPONDENTS NONNONRESPONDENTSRESPONDENTS
NONNONCONTACTEDCONTACTED CONTACTED
INCORRECTINCORRECTADDRESSADDRESS
NOT LOCATEDNOT LOCATEDADDRESSADDRESS
UNABLE TOUNABLE TOACCESSACCESS
OUT-OF-SCOPEOUT-OF-SCOPE
COOPERATING NON NON COOPERATINGCOOPERATING
NON ACHIEVEMENTNON ACHIEVEMENTREFUSEDREFUSED UNABLE TOUNABLE TORESPONSERESPONSE
SAMPLINGSAMPLINGUNITSUNITS
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1515
EVALUATING THE ACTUAL SURVEY PARTICIPATION OVER
TIMEEU-SILC cross-sectional and longitudinal samples...EU-SILC cross-sectional and longitudinal samples...
wave 2004wave 2004 AA BB CC DD TotalTotal
Cooperation RateCooperation RateContact RateContact RateResponse RateResponse Rate
79.3079.3095.2195.2175.5075.50
79.8079.8095.2395.2375.9975.99
80.1780.1794.3194.3175.6175.61
82.7182.7194.6794.6778.3178.31
80.5080.5094.8594.8576.3576.35
wave 2005wave 2005 BB CC DD EE TotalTotal
Cooperation RateCooperation RateContact RateContact RateResponse RateResponse Rate
87.0087.0097.4497.4484.7784.77
87.9787.9797.3597.3585.6385.63
86.8986.8997.2297.2284.4784.47
82.6182.6195.7195.7179.0679.06
85.9185.9196.8596.8583.2183.21
Table 7 – Synthetic Participation RatesTable 7 – Synthetic Participation Rates
Source: Author’s elaborations on Istat data
COMPLETION RATECOMPLETION RATE 75.86%
82.25%
wave 2004
wave 2005
+6.86
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1616
0.00
0.02
0.04
0.06
0.08
0.10Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
0.00
0.05
0.10
0.15
0.20
0.25
0.30Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
0.00
0.10
0.20
0.30
0.40Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
0.00
0.10
0.20
0.30
0.40Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
DOES TOTAL NON-PARTICIPATION DOES TOTAL NON-PARTICIPATION DIFFER ACROSS NATIONAL DIFFER ACROSS NATIONAL
TERRITORY? TERRITORY?
Fig. 3 – Non–Response Rates
Fig. 4 – Non–Completion Rates
Fig. 2 – Non–Contact RatesFig. 1 – Non–Cooperation Rates
wave 2004wave 2005
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1717
0.00
0.02
0.04
0.06
0.08Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
0.00
0.05
0.10
0.15Piedmont
Aosta ValleyLiguria
Lombardy
Bolzano
Trent
Veneto
Friuli Venezia Giulia
Emilia Romagna
MarcheTuscanyUmbria
Lazio
Campania
Abruzzo
Molise
Apulia
Basilicata
Calabria
SicilySardinia
DOES TOTAL NON-PARTICIPATION DOES TOTAL NON-PARTICIPATION DIFFER ACROSS NATIONAL DIFFER ACROSS NATIONAL
TERRITORY? TERRITORY?
Fig. 5 – Frame Error Rates Fig. 6 – Refusal Rates
wave 2004wave 2005
In order to investigate in-depth the territorial In order to investigate in-depth the territorial perspective, its role and significance, as well as the perspective, its role and significance, as well as the effects on the total non-response process...effects on the total non-response process...
ONE-WAY RANDOM EFFECTS ANOVA MODEL ONE-WAY RANDOM EFFECTS ANOVA MODEL (NULL MODEL)(NULL MODEL)
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1818
ijjij ru ̂
with with ii = 1, 2, ... = 1, 2, ...
,,mm
andand j = j = 1, 1,
2, ... , 212, ... , 21
municipalitiesmunicipalities
ONE-WAY RANDOM EFFECTS ANOVA ONE-WAY RANDOM EFFECTS ANOVA MODEL (NULL MODEL) MODEL (NULL MODEL)
NUTS2 regionsNUTS2 regions
fixed fixed effecteffect random random
effectseffects of belonging to the of belonging to the jjthth NUTS2 NUTS2 regionregion
difference between the difference between the iithth municipality municipality and the mean within the and the mean within the jjthth region region
),0(~ 2Nu j
),0(~ 2Nrij
22
2
measuring the effectmeasuring the effect
representing therepresenting the
intraclass intraclass correlationcorrelation
degree of homogeneity degree of homogeneity within NUTS2 regions within NUTS2 regions
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 1919
Outcome Rate (2004) Outcome Rate (2004) Non-ContactNon-Contact Non-CooperationNon-Cooperation Non-ResponseNon-Response
Fixed EffectFixed Effect: : InterceptInterceptRandom EffectRandom Effect::RegionRegion variance varianceResidual varianceResidual variance
0.0373 0.0373 (.00340)(.00340)
0.0006 0.0006 (.00009)(.00009)
0.0035 0.0035 (.00018)(.00018)
0.1575 0.1575 (.00812)(.00812)
0.0004 0.0004 (.00039)*(.00039)*
0.0463 0.0463 (.00240)(.00240)
0.1882 0.1882 (.00880)(.00880)
0.0062 0.0062 (.00053)(.00053)
0.0474 0.0474 (.00247)(.00247)
Outcome Rate (2005)Outcome Rate (2005) Non-ContactNon-Contact Non-CooperationNon-Cooperation Non-ResponseNon-Response
Fixed EffectFixed Effect: : InterceptInterceptRandom EffectRandom Effect::RegionRegion variance varianceResidual varianceResidual variance
0.0207 0.0207 (.00322)(.00322)
0.0007 0.0007 (.00008)(.00008)
0.0027 0.0027 (.00013)(.00013)
0. 1448 0. 1448 (.01308)(.01308)
0.0085 0.0085 (.00107)(.00107)
0.0558 0.0558 (.00265)(.00265)
0.1627 0.1627 (.01366)(.01366)
0.0098 0.0098 (.00122)(.00122)
0.0568 0.0568 (.00270)(.00270)
Table 8 – One-way random effects ANOVA model: main resultsTable 8 – One-way random effects ANOVA model: main results
Source: Author’s elaborations on Istat data
1363.02004 1165.02004
REGIONREGIONEFFECTEFFECT
1908.02005 1473.02005 1322.02005
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 2020
Outcome Rate (2004) Outcome Rate (2004) Frame ErrorFrame Error RefusalRefusal Non-CompletionNon-Completion
Fixed EffectFixed Effect: : InterceptInterceptRandom EffectRandom Effect::RegionRegion variance varianceResidual varianceResidual variance
0.0348 0.0348 (.00317)(.00317)
0.0005 0.0005 (.00008)(.00008)
0.0031 0.0031 (.00016)(.00016)
0.0625 0.0625 (.00463)(.00463)
0.0011 0.0011 (.00013)(.00013)
0.0061 0.0061 (.00032)(.00032)
0.1925 0.1925 (.00900)(.00900)
0.0071 0.0071 (.00056)(.00056)
0.0470 0.0470 (.00245)(.00245)
Outcome Rate (2005)Outcome Rate (2005) Frame ErrorFrame Error RefusalRefusal Non-CompletionNon-Completion
Fixed EffectFixed Effect: : InterceptInterceptRandom EffectRandom Effect::RegionRegion variance varianceResidual varianceResidual variance
0.0247 0.0247 (.00315)(.00315)
0.0006 0.0006 (.00008)(.00008)
0.0024 0.0024 (.00011)(.00011)
0. 0740 0. 0740 (.00668)(.00668)
0.0012 0.0012 (.00027)(.00027)
0.0243 0.0243 (.00116)(.00116)
0.1703 0.1703 (.01373)(.01373)
0.0113 0.0113 (.00123)(.00123)
0.0564 0.0564 (.00269)(.00269)Source: Author’s elaborations on Istat data
Table 9 – One-way random effects ANOVA model: main resultsTable 9 – One-way random effects ANOVA model: main results
1389.02004 REGIONREGIONEFFECTEFFECT
2000.02005
1527.02004
047.02005 1312.02004
1669.02005
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 2121
In order to inspect how far is from each Italian NUTS2 regionIn order to inspect how far is from each Italian NUTS2 regionor geographical macro area to the entire national territory or geographical macro area to the entire national territory
in terms of dissimilarities of data production process quality...in terms of dissimilarities of data production process quality...
SYNTHETIC SYNTHETIC
QUALITY QUALITY
INDICATORSINDICATORS
EXPLORING THE MAIN EXPLORING THE MAIN DIFFERENCES DIFFERENCES
IN EU-SILC PARTICIPATION IN EU-SILC PARTICIPATION ACROSS NATIONAL TERRITORYACROSS NATIONAL TERRITORY
SPATIAL SPATIAL
INDICESINDICES
RANKING ANALYSISRANKING ANALYSIS BY NUTS2 REGIONSBY NUTS2 REGIONS
BY MACRO AREASBY MACRO AREAS
COGRADUATIONCOGRADUATION KENDALL’S RANK KENDALL’S RANK
CORRELATIONCORRELATION
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 2222
RANKING ANALYSISRANKING ANALYSIS
Macro Macro AreaArea
NonNonContactContact
MacroMacroAreaArea
NonNonCooperat.Cooperat.
MacroMacroAreaArea
NonNonResponseResponse
CenterCenterNorth-WestNorth-WestNorth-EastNorth-EastIslandsIslandsSouthSouth
124.78124.78100.13100.13 97.3597.35 81.8981.89 74.8674.86
North-WestNorth-WestCenterCenterNorth-EastNorth-EastIslandsIslandsSouthSouth
114.63114.63110.24110.24 89.2289.22 85.9685.96 83.9383.93
CenterCenterNorth-WestNorth-WestNorth-EastNorth-EastIslandsIslandsSouthSouth
112.25112.25111.46111.46 91.0991.09 85.7385.73 82.8582.85
Macro Macro AreaArea
NonNonContactContact
MacroMacroAreaArea
NonNonCooperat.Cooperat.
MacroMacroAreaArea
NonNonResponseResponse
CenterCenterNorth-WestNorth-WestIslandsIslandsNorth-EastNorth-EastSouthSouth
146.96146.96111.90111.90 95.1895.18 75.5775.57 54.1254.12
North-WestNorth-WestCenterCenterNorth-EastNorth-EastIslandsIslandsSouthSouth
125.36125.36110.47110.47102.53102.53 71.4871.48 59.1059.10
North-WestNorth-WestCenterCenterNorth-EastNorth-EastIslandsIslandsSouthSouth
122.47122.47115.90115.90 98.1798.17 75.9875.98 58.8858.88
Table 10 – Ranking of Italian geographical macro areas Table 10 – Ranking of Italian geographical macro areas (Italy=100) -(Italy=100) -
waves 2004 and 2005waves 2004 and 2005
Source: Author’s elaborations on Istat data
Kendall’s rank correlationKendall’s rank correlation **80.02004 **60.02005
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 2323
NON-CONTACT, OVERALL NON-RESPONSE AND, OBVIOUSLY, NON-CONTACT, OVERALL NON-RESPONSE AND, OBVIOUSLY,
NON-COMPLETION RATES SIGNIFICANTLY DIFFER BY ITALIAN NON-COMPLETION RATES SIGNIFICANTLY DIFFER BY ITALIAN
NUTS2 REGIONS ON BOTH THE WAVES (2004 AND 2005) NUTS2 REGIONS ON BOTH THE WAVES (2004 AND 2005)
CONCLUDING REMARKS...CONCLUDING REMARKS...
DIFFERENTIALS ACROSS NUTS2 REGIONS ALSO CONCERN THE DIFFERENTIALS ACROSS NUTS2 REGIONS ALSO CONCERN THE
FRAME ERRORS AND REFUSALS AS THE TWO CRUCIAL SOURCES FRAME ERRORS AND REFUSALS AS THE TWO CRUCIAL SOURCES
OF NON-CONTACTS AND NON-COOPERATION, RESPECTIVELYOF NON-CONTACTS AND NON-COOPERATION, RESPECTIVELY
NON-COOPERATION RATES SEEM TO BE STATISTICALLY NON-COOPERATION RATES SEEM TO BE STATISTICALLY
DIFFERENT ACROSS NATIONAL TERRITORY ONLY IN 2005DIFFERENT ACROSS NATIONAL TERRITORY ONLY IN 2005
A DOWNWARD TREND OVER WAVE IS REVEALED FOR THE A DOWNWARD TREND OVER WAVE IS REVEALED FOR THE
OUTCOME QUALITY INDICATORS CONSIDERED ALSO DUE TO THE OUTCOME QUALITY INDICATORS CONSIDERED ALSO DUE TO THE
PANEL FRAMEWORK OF THE EU-SILC SURVEYPANEL FRAMEWORK OF THE EU-SILC SURVEY
STAYING PUT OF THE ITALIAN REGIONS IN THE SAME (OR IN A STAYING PUT OF THE ITALIAN REGIONS IN THE SAME (OR IN A
SIMILAR) RANKING FOR THE NON-CONTACT AND NON-SIMILAR) RANKING FOR THE NON-CONTACT AND NON-
COOPERATION RATES AS WELL AS FOR THE FRAME ERROR AND COOPERATION RATES AS WELL AS FOR THE FRAME ERROR AND
REFUSAL RATESREFUSAL RATES
11th July 200811th July 2008 University of Naples “Parthenope” – Faculty of Economics University of Naples “Parthenope” – Faculty of Economics
Department of Statistics and Mathematics for Economic Research Department of Statistics and Mathematics for Economic Research 2424
… … AND FURTHER AND FURTHER DEVELOPMENTSDEVELOPMENTS
URBANICITYURBANICITY POPULATION DENSITYPOPULATION DENSITY CRIME RATESCRIME RATES LACK OF SOCIAL COHESIONLACK OF SOCIAL COHESION AND SO ON...AND SO ON...
At a sub-national level, a variety of contextual factors At a sub-national level, a variety of contextual factors may influence survey participation, such as... may influence survey participation, such as...
REALLY...REALLY...
We deliberately neglected these aspects We deliberately neglected these aspects but but
we intend to examine them closely we intend to examine them closely afterwardsafterwards
SOCIO-ECONOMIC SOCIO-ECONOMIC
ENVIRONMENTENVIRONMENT
INFLUENCES ON SURVEY INFLUENCES ON SURVEY
PARTICIPATIONPARTICIPATION
(Groves and Couper, (Groves and Couper,
1998)1998)