A number of invited and contributed papers will be presented featuring current methodological developments
and applications of small area estimation (list as in August 24):
Michele D'Alò, Loredana Di Consiglio, Stefano Falorsi and Fabrizio Solari
(ISTAT, Italy): Small area estimation of the Italian poverty rate
Esmail Amiri
(Imam Komeini International University, Iran): Bayesian study of small area racial disparities in heart disease mortality
in Ghazvin province (Iran)
Julia Aru
(University of Tartu, Estonia): Notes on sample covariance matrix under informative sampling
Ray Chambers and Nikos Tzavidis
(University of Southampton, UK): Bias adjusted distribution estimation for small areas
Hukum Chandra and Ray Chambers
(University of Southampton, UK): Comparing EBLUP and C-EBLUP for small area estimation
Coro Chasco-Yrigoyen
(Autonoma University of Madrid, Spain): Ecological inference: a new approach based on spatial econometrics
Philip Clarke
(Office for National Statistics, UK), Fernando Moura
(Federal University of Rio Janeiro, Brazil) and Danny Pfeffermann
(Hebrew University, Jerusalem, Israel): Small area estimation with varying boundaries by low level hierarchical modelling
using the synthetic estimator
Emanuela Conza (University of Lecce, Italy): Small area estimation or simulation by using
training images: the advent of multiple-point statistics (POSTER)
Gauri Datta (University of Georgia, USA): Composite estimation of small area means using
Fay-Herriot model
Grazyna Dehnel and Elzbieta Golata (University of Economics, Poznan, Poland):
Attempts to estimate basic information for small business in Poland
Kari Djerf (Statistics Finland): EBLUP estimator: comparison of the prediction
using true population information with sample level information
Enrico Fabrizi (University of Bergamo, Italy),
Maria Rosaria Ferrante and Silvia Pacei (University of Bologna, Italy): Estimation of poverty indicators at the subnational level
using univariate and multivariate small area models
Piero Demetrio Falorsi, Stefano Falorsi, Paolo Righi and Fabrizio Solari (ISTAT, Italy): Sampling
designs for small domains estimation through multi-way stratification techniques
Wojciech Gamrot (University of Economics, Katowice, Poland): Estimation of a domain under
nonresponse using double sampling
W. González-Manteiga, M.J. Lombardía
(Universidad de Santiago de Compostela, Spain), I. Molina
(Universidad Carlos III de Madrid, Spain), D. Morales and L. Santamaría
(Universidad Miguel Hernández de Elche, Spain): Bootstrap approximation of the mean squared error of empirical predictors
S.J. Haslett and G. Jones (Massey University, New Zealand): Small area estimation of poverty
and malnutrition in Bangladesh: some practical and statistical issues
Patrick Heady and Martin Ralphs (Office for National Statistics, UK): EURAREA:
an overview of the project and its findings
Natalja Jurevits (University of Tartu, Estonia): The bias-corrected regression
estimator
Jan Kordos (Warsaw School of Economics, Warsaw, Poland): Impact of the EURAREA project on research in small area estimation in Poland
Danutè Krapavickaitè (Institute of Mathematics and Informatics, Vilnius, Lithuania and Statistics Lithuania): Income estimation for small sample size
Nick Longford (SNTL, Leicester, UK): On standard errors of model-based small-area estimators.
Ana Militino (Universidad Publica de Navarra, Spain),
Patxi Garrido (Eustat, Spain),
Haritz Olaeta (Eustat, Spain) and Ana Militino (Universidad Publica de Navarra, Spain):
Small area estimations in the industrial survey of the Basque country (POSTER)
A.F. Militino, M.D. Ugarte and T. Goicoa
(Universidad Publica de Navarra, Spain): Combining sampling and model weights in agriculture small area estimation
Michal Mladý (Eurostat): Regional labour market statistics at a European level
- small number of survey respondents
Mikko Myrskylä (Statistics Finland): Study on the performance of four variance
estimators for logistic GREG estimator for domains
Ranko Nedeljkovic (Statistical Office of Serbia and Montenegro): Small area
estimation: importance and usage in compound statistical systems (POSTER)
Kari Nissinen
(University of Jyväskylä, Finland): EBLUP estimation of small area totals for unit-level panel data (POSTER)
Erkki Pahkinen (University of Jyväskylä, Finland): Education of experts in small area statistics
Jan
Paradysz and Tomasz Klimanek (University of Economics, Poznan, Poland): Adaptation of EURAREA experience in business statistics in Poland
Alessandra Petrucci
(Università degli
Studi di Firenze, Italy),
Monica Pratesi and
Nicola Salvati (Università degli Studi di Pisa, Italy):
Geographic
information in small area estimation. Small area models with spatially
correlated random area effects.
Krystyna Pruska (University of Lodz, Poland): Logistic regression models
in small area investigations
Cristina Rueda and José A. Menéndez (Universidad de Valladolid, Spain): A restricted model approach
to improve the precision of estimators (POSTER)
Ayoub Saei (University of Southampton, UK),
Li-Chun Zhang (Statistics Norway) and
Ray Chambers (University of Southampton, UK):
Generalized structure preserving estimation models for small areas
Jorge Saralegui, Montserrat Herrador
(Instituto Nacional de Estadística, Spain),
Domingo Morales and Agustín Pérez
(Universidad Miguel Hernández de Elche, Spain):
Small area estimation in the Spanish Labour Force Survey
Kaja Sõstra (Statistical Office of Estonia): General restriction estimator in small area estimation
Marja Tammilehto-Luode (Statistics Finland): Register-based statistics and geographic information
Nicola Torelli and Matilde Trevisani
(University of Trieste, Italy): Small area estimation by combining spatially misaligned data
Ari Veijanen (Statistics Finland),
Risto Lehtonen
(University of Jyväskylä) and
Carl-Erik Särndal (Canada): The effect of model quality on model-assisted and model-dependent estimators of totals and class frequencies for domains
Tomasz Zadlo (University of Economics in Katowice, Poland): On mean square error of EBLU predictors
based on the formula of Royall's BLU predictor
Li-Chun Zhang and Ib Thomsen (Statistics Norway):
A prediction approach to sampling design