Survey sampling methods in economic and social research

Janusz Wywiał, Wojciech Gamrot

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ISBN/ISSN:

978-83-7246-621-1

DOI:

Wydawnictwo:

Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach

Rok wydania:

2010

Liczba stron:

142

XML:ISBN/ISSN:

ONIX MARC21

Bibliografia:

. Survey sampling methods in economic and social research. Red. Wywiał, Janusz; Gamrot, Wojciech . Katowice: Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach, 2010, 142 s. ISBN 978-83-7246-621-1

Bibliografia refWorks:

RT Book, Whole

SR Electronic(1)

A2 Wywiał, J.

A2 Gamrot, W.

T1 Survey sampling methods in economic and social research

PB Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach

PP Katowice

YR 2010

SN 978-83-7246-621-1

Bibliografia BibTex:

@Book{ 7350, author = "", editor = "Wywiał, Janusz and Gamrot, Wojciech", title = "Survey sampling methods in economic and social research", publisher = "Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach", year = "2010", address = "Katowice", isbn = "978-83-7246-621-1" }

Bibliografia endNote:

TY - BOOK

AU -

ED - Wywiał, Janusz

ED - Gamrot, Wojciech

TI - Survey sampling methods in economic and social research

PB - Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach

CY - Katowice

PY - 2010

SN - 978-83-7246-621-1

ER -

Netografia (standard APA):

. Red. Wywiał, Janusz; Gamrot, Wojciech. Survey sampling methods in economic and social research [baza danych online] Katowice: Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach, 2010 [dostęp: 07 07 2024]. Dostęp w Ibuk Libra: https://libra.ibuk.pl/reader/survey-sampling-methods-in-economic-and-social-research-janusz-wywial-wojciech-gamrot-7350.

survey, sampling, estimation, economic research, social research, simulation analysis

Sample surveys provide one of the most challenging fields for applying statistical methodology. They confront the researcher with a vast diversity of unique practical problems encountered in studies of populations. They include, but are not limite...

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ISBN/ISSN:

978-83-7246-621-1

DOI:

Wydawnictwo:

Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach

Rok wydania:

2010

Liczba stron:

142

XML:ISBN/ISSN:

ONIX MARC21

Preface5
Agnieszka Zięba, Jan Kordos - Comparing three methods of standard error estimation for poverty measures9
Mauno Keto, Erkki Pahkinen - On sample allocation for effective EBLUP estimation of small area totals - "Experimental Allocation"25
Paola Maddalena Chiodini, Rita Lima , Giancarlo Manzi, Bianca Maria Martelli, Flavio Verrecchia - Criticalities in applying the Neyman's optimality in business surveys: a comparison35
Janusz Wywiał - Simulation analysis of accuracy estimation of population mean on the basis71
Tomasz Żądło - On some pseudo-EBLUP in the case of modeling longitudinal profiles81
Jan Kubacki, Alina Jędrzejczak - Estimation of Gini coefficient for regions from Polish Household Budget Survey using small area estimation methods97
Kateřina Gurinová, Vladimíra Hovorková Valentová - Treating statistical data set with missing values109
Ewa Dziwok - Yield curve estimation: a comparison of methods and the applications119
Wojciech Gamrot - Correlated response behavior and properties of population total estimates129

Preface

proposedpredictormaystillbeusedtopredictadomaintotalinanyperiod,in

thecaseofchangingdomainmembershipofpopulationunits.Itsproperties

werestudiedbymeansoftheMonteCarlosimulationandcomparedtothe

empiricalbestlinearunbiasedpredictoraswellastoHorvitz-Thompson

estimator.Themodel-misspecificationcaseisalsoexamined.

ThepaperbyJanKubackiandAlinaJędrzejczakpresentsthe

methodologyforestimatingtheGinicoefficientonthebasisofthePolish

HouseholdBudgetSurvey(PHBS).Design-basedandmodel-basedestimators

arecompared,includingEmpiricalBayes(EB)andEmpiricalBestLinear

UnbiasedPredictors(EBLUP).Thebootstrapmethodisusedtoexaminethe

precisionofestimates.ComputationsusingempiricaldatafromPHBSare

presented.ItisshownthatstochasticpropertiesofGinicoefficientestimates

fordomainsmaybesatisfactoryevenforverycomplexsurveys.

KatefinaGurinováandVladimíraHovorkováValentováaddressan

importantproblemofmissingsampledata.Theyconsiderseveralpossible

approachestoimputingordeletingthemissingvaluesimplementedin

statisticalsoftwarepackagesincludingmeansubstitution,groupmean

substitution,hotdeckimputation,regressionimputationaswellaslistwise

deletionandpairwisedeletion.Advantagesanddisadvantagesofindividual

methodsarediscussedwithrespecttovaryingmeasurementscales.Some

examplesofsimulateddataaregiventoillustratethepoint.

EwaDziwok’spaperisdevotedtotheestimationoftheyieldcurvefor

afinancialinstrument.Nelson-SiegelandSwenssonformulas(ormodels)for

itsparametricestimation,appliedbyvariouscentralbanks,areconsidered.

TwoapproachestocalculateRootMeanSquareError(RMSE)asacriterionto

fittheyieldcurveestimatearediscussed.Oneofthemisbasedonpriceerrors

whereasanotheroneisbasedonyielderrors.Itisconcludedthatanestimation

criterionbasedonminimisingpricedifferentialsleadstoasatisfactory

goodnessoffit.

WojciechGamrotdealswiththeproblemofcorrelatedresponse

behaviourofpopulationunits.Heconsidersastandardmodelofnon-response,

widelyusedintheliteraturebasedontheassumptionthatresponsesorrefusals

ofindividualunitsareindependentevents.Then,threealternativemodelsare

formulated.Eachofthemstatesthatapopulationisdividedintogroups

ofunitswhoseresponsebehaviourispositivelycorrelated.Asimulation

studyisthencarriedoutforallmodelstoassessthedistortionsinstochastic

propertiesoftwopopulationtotalestimatorsduetothiscorrelation.The

experimentswerecarriedoutfortheHàjekestimatoraswellasthereweighing-

-typeestimatorbasedonlogisticregressionmodel.Bothestimatorsareproved

toreactindifferentwaystothecorrelatedresponsebehaviour.

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