@article{ author = {Shahbazi, Mohse}, title = {A Method for Estimating Sensitive Attribute Proportion}, abstract ={This paper considers the problem of unbiased estimation of proportion of sensitive attribute in human society. In order to protect the respondent’s privacy, various techniques of randomized response (RR) rather than direct response are available. It is well-known that RR techniques are designed for sensitive characteristics to improve the respondent cooperation. In this paper we briefly describe Warner’s model and compare it to the survey with face to face interview. Then we examine two methods of randomized response of unrelated question and crosswise model. In the end, with the use of Warner's technique, we investigate the proportion of the usage of alcoholic drink in one of the universities.}, Keywords = {randomized response method, simple random sampling, estimator’s }, volume = {20}, Number = {1}, pages = {1-12}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-99-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-99-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {Moayedfar, Rozita and Ranjbaran, Mohamm}, title = {How is Housing Located in Esfahan City: Investigation of Households Utilities Maximization effects and Housing Market Distortion Factors}, abstract ={ Houshold choices affect housing location and It is one of the most important factors that forms Urbans texture. Therefore Urban Housing texture, based on locating shows the household choice pattern. This pattern, on one hand, is affected by household utility criterions and on the other hand, is affected by limited restraints. This article investigates the residency texture in Esfahan city to examine household locating theory with using population and housing census 2006. This research believes that this theory can not explain the formation of Esfahan city residency texture and location of housing. This is because the housing market is distorted (i.e. disability of housing market to lead the allocation of lands from production of housing to tradable goods with targeting the minimization of transporting cost) in Esfahan city.}, Keywords = {Housholds Locating, Urban Residences Texture and Housing Market}, volume = {20}, Number = {1}, pages = {13-40}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-95-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-95-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {Sadeghi, Rasoul}, title = {The Demographic Characteristics of Foreign Migrants in 2006 Census, Iran}, abstract ={ The scientific understanding of migration and migrant's characteristics constitute the pivotal context for migration policy-makings and management.  Such an understanding in developing countries including Iran is mainly attained through population censuses. In Iran, in spite of long-term considerable migration movements from neighboring countries and its consequences, the demographic characteristics of foreign migrants still remained unexplained. Thus, this paper aims at investigating demographic characteristics of foreign migrants using existing data derived from 2006 Iranian census. The research finding demonstrate that the high sex ratio, higher fertility rate than native population, young structure of population, large size of second generation migrants and geographical concentration  are among the most significant features of foreign migrants. It should be admitted that there is a significant difference among migrants groups. In addition, the results indicate that although the migrants are demographically different from that of their country of settlement, their population size is not so large to have considerable effect on Iranian population structure and dynamic.}, Keywords = { International migration, refugees, nationality, census, age structure, second generation}, volume = {20}, Number = {1}, pages = {41-74}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-98-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-98-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {Vaziri, Roya and Mirzaei, Roohallah and HaddadSoleymani, Mohamm}, title = {Study on Housing Units Sewage Disposal by Population, According to the results of the National Population and Housing Census 2006}, abstract ={ The 6th National Population and Housing Census was carried out from October 28 to November 17, 2006 in which three different questionnaires were used. Question number 55 of the 3rd questionnaire asked about Housing Units Sewage Disposal. This paper studies and analyzes the answers to the mentioned question in regional and national levels. Assessment of housing units sewage disposal conditions shows that the public sewer and cesspools were used commonly by households as sewage disposal places, i.e. major portion of housing units sewage was discharged into the cesspools and the public sewer. About 75.25 and 52.73 percent of the population discharged their toilet and kitchen sewage into cesspools, respectively. Moreover, 22.04 and 23.03 percent of the population discharged their toilet and kitchen sewage into the public sewer, respectively. Considering the public sewer as the main sewage disposal place, provinces Kordestan, Kermanshah and Khuzestan were ranked 1-3, and provinces Kerman and Zanjan were ranked 29-30.}, Keywords = { National Population and Housing Census, Sewage, Housing unit, Cesspool, Public sewer}, volume = {20}, Number = {1}, pages = {75-94}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-101-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-101-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {Pourmahmoud, Maryam and Navvabpour, rez}, title = {An Application of Cut off Sampling}, abstract ={ In order to obtain a society’s characteristics, information about the society members should be accessible. One method to collect this information is sample survey. Depending on how to choose sampling units, there are two different sampling methods: probability sampling and non-probability sampling. In non-probability sampling approach, parameter estimates are bias, so results in the class of biased estimators should be studied. This approach has been mostly considered in the most of the surveys for the good speed and low costs. One of the non-probability sampling methods is cut off sampling, which is more used in social-economic survey, especially in determining different economical indices (price index) such as industrial establishment survey, in national statistical offices. In this paper different types of cut-off sampling are discussed. Data drawn from industrial establishment census (establishments that had 10 workers and more in 1385), are used to estimate the added value (in the same year, 1385) for each establishment by using type 3 cut off sampling, and performance of two approaches, deleted and model assisted approaches, are compared. Results of this study show that under certain conditions model-based approach estimator has smaller MSE in comparison with that of the deleted approach.  Finally, results of the model assisted approach are compared with a classical method of estimation.}, Keywords = { probability sampling, non-probability sampling, cut-off sampling, cut-off threshold, deleted approach, model assisted approach, sample size}, volume = {20}, Number = {1}, pages = {95-122}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-96-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-96-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {Taheri, Qodrat}, title = {A Survey on the Effect of Socio-Economic and Demographic Factors on Urbanization in Iran Based on 2006 Census (Through Path Analysis)}, abstract ={The information concerning general housing statistics and public census are widely used as unprecedented information resources in planning and development plans. Such information enjoys acceptable and required credits. Hence, the information on some variables (indicators) has been collected and the effect of some information on urban-dwelling has been determined through a path analysis. Moreover, the distribution of indicators' frequency has been decided corresponding to a national average.  }, Keywords = {Path analysis diagram analysis, urbanization, employment rate, women literacy rate, population density, youngness of the population, higher educated literate persons, manufacturing sector workers.}, volume = {20}, Number = {1}, pages = {123-152}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-100-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-100-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} } @article{ author = {RezaeiGhahroodi, Zahr}, title = {Non-Bayesian Multiple Imputation}, abstract ={ Multiple imputation is a method specifically designed for variance estimation in the presence of missing data. Rubin’s combination formula requires that the imputation method is “proper,” which essentially means that the imputations are random draws from a posterior distribution in a Bayesian framework. In national statistical institutes (NSI’s) like Statistics Norway, the methods used for imputing for nonresponse are typically non-Bayesian, e.g., some kind of stratified hot-deck. Hence, Rubin’s method of multiple imputation is not valid and cannot be applied in NSI’s. This article deals with the problem of deriving an alternative combination formula that can be applied for imputation methods typically used in NSI’s and suggests an approach for studying this problem. Alternative combination formulas are derived for certain response mechanisms and hot-deck type imputation methods.}, Keywords = {Variance estimation, survey sampling, stratified sampling, logistic regression, nonresponse, hot-deck imputation.}, volume = {20}, Number = {1}, pages = {153-191}, publisher = {statistical Center of Iran}, url = {http://ijoss.srtc.ac.ir/article-1-97-en.html}, eprint = {http://ijoss.srtc.ac.ir/article-1-97-en.pdf}, journal = {Ijoss Iranian Journal of Official Statistics Studies}, issn = {2538-5798}, eissn = {2538-578x}, year = {2009} }