Small area estimation and microsimulation modeling
نویسندگان
چکیده
منابع مشابه
Methodological Issues in Spatial Microsimulation Modelling for Small Area Estimation
In this paper, some vital methodological issues of spatial microsimulation modelling for small area estimation have been addressed, with a particular emphasis given to the reweighting techniques. Most of the review articles in small area estimation have highlighted methodologies based on various statistical models and theories. However, spatial microsimulation modelling is emerging as a very us...
متن کاملSmall Area Housing Deficit Estimation: A Spatial Microsimulation Approach
This paper presents our first attempts to develop a new methodology for measuring housing deficit at small areas. It combines the advantages of two types of census data: (a) individual-level sample data, which are very useful for depicting many dimensions of the housing deficit, but do not present detailed geographic information; and (b) universal data with detailed spatial resolution (census t...
متن کاملSome New Developments in Small Area Estimation
Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
متن کاملComparison of Small Area Estimation Methods for Estimating Unemployment Rate
Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...
متن کاملIntroduction to Small Area Estimation
In this vignette we will describe an example on how to produce Small Area Estimates using different types of techniques. Different direct and model based estimators will be briefly described and their computation using the Rsoftware will be illustrated with a simulated data set. Small Area Estimation tackles the problem of providing reliable estimates of one or several variables of interest in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Computation and Simulation
سال: 2019
ISSN: 0094-9655,1563-5163
DOI: 10.1080/00949655.2019.1628900