- Twelfth Course/Workshop on
Sample Design for Household and Establishment/Enterprise Surveys held.
Twelfth Course/Workshop on Sample Design for Household and Establishment/Enterprise Surveys,
which is a regular annual training program of the United Nations Statistical Institute for Asia and the
Pacific (SIAP), has been conducted from 24 June to 19 July 2006, in Tehran, Islamic Republic of Iran, with
the collaboration of the Statistical Centre of Iran (SCI), government of the Islamic Republic of Iran.
The objective of the Course/Workshop was to respond to the need to improve the national capabilities in the
field of survey sampling in the developing countries of the Asian and Pacific region.
24 participants from the following countries have been contributed in the course: Bangladesh, Cambodia, China,
DPR Korea, Fiji, Hong Kong-China, Indonesia, Islamic Republic of Iran, Lao PDR, Malaysia, Maldives, Mongolia, Myanmar,
Nepal, Philippines, Republic of Korea, Sri Lanka, Thailand, Viet Nam.
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- The "Country Course on the Use of Administrative Registers in Producing Social and Cultural Statistics"
held (22 April 2006).
Twenty three experts from statistical units at administrative offices of the country attended the course scheduled
under Economic and Social Commission for Asia and the Pacific (ESCAP) and Statistical Institute for Asia and the
Pacific (SIAP) training programs. The course was held in synergy with the Statistical Center of Iran from 22 to
26 April 2006, at the Statistical Research and Training Center. The course aimed at the enhancement of the
country's statistical expert's statistical capabilities in use of administrative registers in producing social
and cultural statistics.
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- The research project for
"Density Estimation of Data and Statistics"
carried out (March 2006)
Summary:
Probability Density Function is of the principal concept in Probability and Statistics which,
one, being aware of it, can understand the stochastic behavior of estimators. Realizing the distribution
of statistics, not only make it possible to infer from random sample on population, but also provides
the users with the precision of estimators. The project elaborately introduces the existing methods for
estimating the density of data and statistics. After studying the density estimation methods on the
simulated data resulted from known distributions, a complex sampling project is simulated, and then after
calculation of bootstrap iterations of a given estimator in the project, the density estimation methods are
applied to the calculated iterations and then the density function of that estimator is estimated. Finally,
density estimation of employment rate based on data from chapter four of 1382(2002-2003) Employment and
Unemployment Survey is presented.
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- The research project for
"Investigation of Inflationary Inequality and
Factors Affecting it in Urban Areas (1974-2003)"
carried out (September 2005)
Summary:
The urban household consumer goods and services price index (CPI) is used as a criterion for evaluation
of household consumer goods and services inflation rate and conversion of national accounts from current
prices into constant prices. The general procedure for determining the CPI is such that the relative
weight of the households having higher expenditure is more than households having lower expenditure.
Such a practice causes the weights used in calculating CPI by Laspeyres method get closer to the affluent
households' weights. As a result, inflation rate for households with a lower income is different from formal
inflation rate. Therefore, for a more careful study of the consequences of the price increases on urban
household consumer behavior, we need to determine an inflationary index in which the consumer pattern for
choosing weights is not influenced by household expenditures. This is the so-called democratic index.
The present research is after the investigation of Iranian urban areas inflationary inequality and factors
affecting this inequality, which has been dealt with in five chapters.
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- The research project for
"Producer Price Index Calculation Method by the Consumer,
Capital and Intermediate Goods (case of industrial products price)"
carried out (August 2005)
Summary:
Considering that, the producer price index illustrates the changes in price of products for sale over a time span,
it is regarded as the best tool for measuring the prices trend and evaluation of government policies in price control.
In many countries the index is calculated by the type of consumption of goods (intermediate, capital, consumer),
different processing stages (raw stages materials stages, intermediate goods and manufactured goods)
or manufacturing stages, yet in Iran the index is produced in general and without observing the above
classifications. The project has been designed targeting the calculation of producer price index by its
three consumer types. The primary requirement for such a calculation is the availability of the results
of input-output table. Due to lack of information needed at the time of carrying out the project,
applicably, the project solely offers methods on calculation of producer price index by the consumer,
intermediate and capital goods in manufacturing sector.
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- The research project for
"Measurement Error in Price Index of Iranian Urban Household Consumer Goods
and Services (1995-2004)"
carried out (August 2005)
Summary:
Recent discussions on price index and consumer surplus reflect that CPI (Consumer Price Index) in Laspeyres Method
overstate the individual's (household's) annual cost increases. The main reason is the change of consumer's behavior
against the relative price changes. That is to say, the consumers in response to the relative price changes, change
their purchases of goods and services (with different proportions), yet in calculation of CPI such a compensation
for purchases would not be considered. Accordingly, with the substitution of goods by the households, the CPI grows
faster than living cost. So far, not all the factors that create bias in CPI have been recognized. Even a small
bias in CPI, considerably affects the monetary and financial policies, and other macro economic variables. The
project is seeking to identify the sources of CPI errors, measure these errors and give procedures for adjustment
of CPI to attain a more realistic analysis of macro economic variables.
The project report is in 5 chapters. Chapter 1 deals with the generalities of the project, chapter 2 with the
method of determining Consumer Price Index and its objectives, chapter 3 with the CPI errors, chapter 4 with the
studies done in this field and chapter 5 with different methods of CPI errors estimation and calculation of these errors.
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- The research project for
"Qualitative Adjustment of Price Index for selected items in urban
household's consumer basket"
carried out (Spring 2005)
Summary:
Chapter one gives a short history of producing price index in Iran, specifications of survey on urban household's consumer
goods and services price by Statistical Center of Iran and the process of creating the mentioned index.
Chapter two investigates the corresponding patterns and its related problems and deals with the significance of
qualitative adjusting and nature of quality change. The chapter also takes care of qualitative adjustment methods in brief.
Chapter three reviews the national and international literature of the topic and reveals that national studies are
relatively scarce and novel, but during the past decades many studies have been done internationally on qualitative
adjustment.
Chapter four elaborately sees to the qualitative adjustment methods.
Chapter five studies various groups of existing goods and services in urban household's consumer basket, and
examines the possibility of qualitative adjustment and proper method for each related items or group.
Chapter six selects three durable items, washing machine, automobile and television that each belongs to a
special group of items in the household's basket with Hedonic Price Index of each calculated and compared with
the price index calculated by Statistical Center of Iran.
Chapter seven recapitulates the past discussions and gives recommendations for consumer price index
qualitative adjustment to the Statistical Center of Iran.
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- The research project for
"Imputation of Nonresponses and its Effects on Estimation and Data Analysis"
carried out (Spring 2005)
Summary:
No researcher can avoid nonresponse in censuses and surveys completely. Several methods have been
introduced and studied for reduction of unit and item nonresponse. However, in some surveys, nonresponse
rate is still high, and analytical methods capable of giving fully reliable statistical results to the
researchers are needed. After explaining the essential concepts of missing data and mechanisms generating
such missingness, the research reviews some of weighting methods for adjusting estimators. The imputation
of the missing data that considerably reduces the complexity of data analysis, has been comprehensively
described and its various methods, among them the single and multiple imputations have been presented.
The research introduces the maximum entropy principle and fuzzy sets in the missing data imputation as
the two methods of single imputation, and elaborates on them with examples. The research has illustrated
popular softwares for single and multiple imputations, and multiple imputation has been applied in SAS
with an explicit example. The research also displays evaluation criteria of various imputation methods for
variables measured with nominal, ordinal, interval and ratio scales. The present situation of nonresponse
in Statistical Center of Iran and the way it is handled are also studied. Finally, various methods of
imputation have been applied to the household socio-economic characteristics survey at the Statistical Center
of Iran, and by utilizing evaluation criteria and comparing different methods, the research comes to the
conclusion that multiple imputation is the most suitable of all for the data in this survey.
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- Publishing the article,
"Poverty Distribution Among Iranian Households, 1992-2000 (1371-1379)"
in Quarterly Iranian Economic Research, No. 22, Spring 2005
Abstract:
The article calculates mode of poverty distribution among households by various social and economic
characteristics (urban or rural, head of household's education level, geographical region of household's
residence, head of the household's occupation, head of the household's economic activity), and by the
absolute and relative poverty criteria. The findings of the paper reveal that during the period of study,
the share of rural poverty from the total country has been more than urban poverty, and also, during the
same period the rural share had a descending trend whereas the urban share had an ascending one.
Households whose heads are among the age group of over 55 are poorer than the other age groups.
Households whose heads are agricultural and/or elementary occupation workers are poorer than the other
jobholders. Considering the head of household's status in employment it is apparent that the highest
rate of poverty belongs to the households whose heads are family workers and/or self-employed.
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- Subregional Training Course/Workshop on "Statistics for
Millennium Development Goals" was held.
Statistical Center of Iran with the collaboration of Statistical Institute for Asia and the Pacific (SIAP),
conducted the first sub regional training course/ workshop on statistics for millennium development goals, 10-12
Ordibehasht 1384 (30 April to 11 May 2005), at the Statistical Research and Training Center. The course aimed at
the statistical capacity building in the regional countries for generating qualitative and trustworthy statistics to
monitor progress toward millennium development goals as well as providing accurate national report in the above
ubject matter. The course lecturer was Ms. Margaritta Guerrero and its consultants were Messrs Gemini De Silva,
Bronden Poulsen and Mses Seeta Prabhu and Erlinda M. Capones. Fourteen experts attended the course from
Afghanistan, Bangladesh, Bhutan, India, Maldives, Sri Lanka, and Iran.
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- Publishing the Article, "The Decent
Work and its Indicators in Iran" Planning and Budget Journal, No. 86, Summer 2004
Abstract:
The article defines the decent work as a comprehensive concept for measuring the employment status in the country
and explains its diverse dimensions. Then, ILO-recommended statistical indicators for measuring the decent work is
introduced , and finally the values of a number of country's decent work indicators, whose calculation are possible,
are presented.
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- PTraining Workshop on
"Labor Force Statistics, Concepts and Methods" was Held
The training workshop on "Labor Force Statistics, Concepts, and Methods" was convened 28 -30 Dec. 2004 at Statistical
Research and Training Center to introduce international standards for definitions, concepts, and methods for
measuring labor force indexes , as well as presenting the experiences of the other countries. The workshop
instructor was Dr. Farhad Mehran (ILO senior statistician).
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- The research project for
"Offering Proper Procedures for Production of Household Income Statistics"
carried out (March 2005)
Summary:
In about 40 years of conducting the "household expenditure and income" survey at the Statistical Center of Iran,
the household average income has always been lower than its average expenditure. Since the household income
information is of high priority in such areas as income distribution, poverty statistics, and economic welfare
indexes and consequently in economic policymaking and evaluation, the accuracy and improvement of the data
quality pertaining to household income deserve great importance in macro planning of the country. For this
purpose, Statistical Research and Training Center by organizing a study group placed the above research
project in its agenda.
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