This study aims to estimate of Business or Formality Index (FI) for business households at provincial and district levels in the rural areas of Vietnam. In order to construct the FI, we implemented a survey of 900 business households in three provinces in Vietnam. Then we estimate the FI for...

The Inequality Process (IP) is a particle system model similar to that of the Kinetic Theory of Gases. The IP is a parsimonious model of competition among people for wealth. The IP explains a wide scope of stable patterns in the distribution of personal income and wealth. Econophysicists have...

Poverty and disability are interrelated, but data that can disentangle to what extent one causes the other and vice versa is not available. However, data from Vietnam allows us to examine this interrelationship in a way not done previously. Using small area estimation techniques, we uncover...

Population migration flow is a component of population facing difficulties in measuring in the inter-census period of time. The rationale of this study is that Romanian statistics on international migration flows are of very poor quality, the availability of data on past trends being strongly...

This paper deals with the optimal transfer of binary information (BIT) on group membership between different statistical surveys of an identical population, a need arising frequently in socio-economic surveys. The limited number of questions asked in any one survey may necessitate information...

To estimate the poverty rate at the commune level, the Ministry of Labor, Invalids and Social Affairs firstly collects information on households’ income per capita, and compares their income with a defined poverty line. A household is identified as a poor one if their income per capita is...

It is known that semiparametric time series regression is often used without checking its suitability and compactness. In theory, this may result in dealing with an unnecessarily complicated model. In practice, one may encounter the computational difficulty caused by the spareness of the data....

Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...

Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...

Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...