.. Jyväskylän yliopisto - Tilastotiede

                                                                                    

Challenges in Statistics Production for Domains and Small Areas

August 28-31, 2005

             

 

     

NEW: Conference proceedings (PDF) available here


  Keynote Speakers

 

SAE2005

Aims and Scope

Scientific Committee

Organizing Committee

Important Dates

Call for Papers

Registration Information

Invited Speakers and Contributed Papers

Program

Social Events

Accommodation

Travel Information

Location

Contact Addresses

Sponsors

Short Course on Tools for Small Area Estimation

EURAREA

 

   

 

Prof. Chris Elbers (Vrije Universiteit Amsterdam), Dr Jenny Lanjouw (University of California, Berkeley) and Dr Peter Lanjouw (The World Bank):
Poverty mapping and extensions

Dr Mike Hidiroglou and Dr Marie Cruddas (Office for National Statistics, UK):
Developing small area statistics for business surveys

Prof. Danny Pfeffermann (The Hebrew University of Jerusalem and University of Southampton):
(1) Small area estimation using time series models subject to benchmarking constraints
(2) Small area estimation under informative sampling

Prof. J.N.K. Rao (Carleton University):
Small area estimation: overview, new developments and practical issues

Prof. Carl-Erik Särndal (University of Montreal):
Reliable statistics for subpopulations - some unresolved issues

 

  Invited and Contributed Papers

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