Resampling Procedures for Sample Surveys

2021 ◽  
pp. 1-8
Author(s):  
Daniela Cocchi ◽  
Riccardo Ievoli
Keyword(s):  
Sample Surveys

The Role of Migration in the Formation of Regional Labour Markets Amidst the Second Wave of Depopulation in Modern Russia

2020 ◽  
Vol 27 (6) ◽  
pp. 26-36
Author(s):  
A. V. Topilin ◽  
A. S. Maksimova
Keyword(s):  
Labour Market ◽  
Oil And Gas ◽  
Labour Markets ◽  
Labour Migration ◽  
Sample Surveys ◽  
Balance Sheets ◽  
Permanent Migration ◽  
Regional Labour Markets ◽  
The Impact

The article reflects the results of a study of the impact of migration on regional labour markets amidst a decline in the working-age population in Russia. After substantiating the relevance of the issues under consideration, the authors propose a methodological analysis toolkit, the author’s own methodology for calculating the coefficients of permanent long-term external and internal labour migration in regional labour markets, and the coefficient of total migration burden. In addition, the authors provide an overview of the information and statistical base of the study. According to current migration records, data of Rosstat sample surveys on Russian labour migrants leaving for employment in other regions, regional labour resources balance sheets based on the calculated coefficients of labour market pressures, the authors analyzed the impact of migration on the Russian regional labour markets over the past decade. It revealed an increasing role of internal labour migration in many regions, primarily in the largest economic agglomerations and oil and gas territories. At the same time, the role of external labour migration remains stable and minimum indicators of the contribution of permanent migration to the formation of regional labour markets continue to decrease. It has been established that irrational counter flows of external and internal labour migration have developed, which indicates not only an imbalance in labour demand and supply but also a discrepancy between the qualitative composition of migrants and the needs of the economy. It is concluded that the state does not effectively regulate certain types of migration, considering its impact on the labour market. The authors justified the need for conducting regular household sample surveys according to specific programs to collect information about labour migrants and the conditions for using their labour. In addition to the current migration records, using interregional analysis, this information allows making more informed decisions at the federal and regional levels to correct the negative situation that has developed in the regional labour markets even before the coronavirus pandemic had struck.

Usability of India’s government statistics1

2020 ◽  
pp. 1-17
Author(s):  
Vikas Kumar
Keyword(s):  
National Sample ◽  
Poor Quality ◽  
Sample Surveys ◽  
Sources Of Information ◽  
Cross Sectional ◽  
Jammu And Kashmir ◽  
The Poor ◽  
Government Statistics

The quality of metadata is a crucial determinant of usability/interpretability of data. This paper draws attention to the poor quality of India’s government statistics and the paucity of metadata necessary to understand the problems. The paper suggests that there has been a decline in India both in terms of the availability and quality of metadata for key government sources of information including maps, decennial population censuses and National Sample Surveys amidst growing sophistication in the understanding of metadata. The poor quality of metadata impairs cross-sectional as well as inter-temporal comparisons and policymaking apart from concealing biases and lapses of government statisticians. The paper draws on the experience of three states – erstwhile Jammu and Kashmir, Manipur and Nagaland – where government statistics have been affected by serious errors that are not well-understood due to the lack of adequate metadata.

scholarly journals Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience sample surveys

2016 ◽  
Vol 92 (6) ◽  
pp. 455-463 ◽  
Author(s):  
Philip Prah ◽  
Ford Hickson ◽  
Chris Bonell ◽  
Lisa M McDaid ◽  
Anne M Johnson ◽  
...  
Keyword(s):  
Great Britain ◽  
Sample Surveys ◽  
Convenience Sample ◽  
Sex With Men

A Note on Handling Nonresponse in Sample Surveys

1994 ◽  
Vol 89 (426) ◽  
pp. 693-696 ◽  
Author(s):  
Phillip S. Kott
Keyword(s):  
Sample Surveys

The Development of Household Sample Surveys

1969 ◽  
Vol 64 (328) ◽  
pp. 1134-1140
Author(s):  
Max A. Bershad ◽  
Benjamin J. Tepping
Keyword(s):  
Sample Surveys

Restricted quasi-score estimating functions for sample survey data

2004 ◽  
Vol 41 (A) ◽  
pp. 119-130
Author(s):  
Y.-X. Lin ◽  
D. Steel ◽  
R. L Chambers
Keyword(s):  
Maximum Likelihood ◽  
Survey Data ◽  
Sample Survey ◽  
Likelihood Method ◽  
Sample Surveys ◽  
Estimating Functions ◽  
Limit Theory ◽  
Normal Probability ◽  
Probability Structure ◽  
Sample Survey Data

This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework for sample surveys which is less dependent on the exact underlying probability structure using the quasi-likelihood method.

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