• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.553-568
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• 2022

The Household Income and Expenditure Survey is a representative survey of Statistics Korea, which aims to measure and analyze national income and consumption levels and their changes by understanding the current state of household balances. Recently, the disconnection problem in these time series caused by the large-scale reorganization of the survey methods in 2017 and 2019 has become an issue. In this study, we model the characteristics of the time series in the Household Income and Expenditure Survey up to 2016, and use the modeling to compute forecasts for linking the expenditures in 2017 and 2018. In order to evenly reflect the characteristics across all expenditure item series and to reduce the impact of a specific forecast model, we synthesize a total of 8 models such as regression models, time series models, and machine learning techniques. In particular, the noteworthy aspect of this study is that it improves the forecast by using the optimal combination technique that can exactly reflect the hierarchical structure of the Household Income and Expenditure Survey without loss of information as in the top-down or bottom-up methods. As a result of applying the proposed method to forecast expenditure series from 2017 to 2019, it contributed to the recovery of time series linkage and improved the forecast. In addition, it was confirmed that the hierarchical time series forecasts by the optimal combination method make linkage results closer to the actual survey series.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.563-567
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• 2023

본 연구는 한국 통계청이 수행하는 가계동향조사와 생활시간조사에서 자료처리 과정 및 방법을 혁신하려는 시도로, 기존의 통계 생산 방법론의 한계를 극복하고, 대규모 데이터의 효과적인 관리와 분석을 가능하게 하는 인공지능 기반의 통계 생산을 목표로 한다. 본 연구는 데이터 과학과 통계학의 교차점에서 진행되며, 인공지능 기술, 특히 자연어 처리와 딥러닝을 활용하여 비정형 텍스트 분류 방법의 성능을 검증하며, 인공지능 기반 통계분류 방법론의 확장성과 추가적인 조사 확대 적용의 가능성을 탐구한다. 이 연구의 결과는 통계 데이터의 품질 향상과 신뢰성 증가에 기여하며, 국민의 생활 패턴과 행동에 대한 더 깊고 정확한 이해를 제공한다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.43-49
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• 2019

The purpose of this study is to estimate the expenditure determinants of the leisure goods consumption market. In order to achieve the research purpose, 6597 samples of household trend survey data were used. Tobit model was applied to estimate expenditure determinants. As a result of analysis, expenditure determinants for sporting goods were influenced by marital status, education level, age, number of households, housing ownership and income level. The variables influencing spending on leisure items such as mountain climbing, fishing and hunting items were influenced by gender, marital status, education level, age, number of households, housing ownership and income level. The analysis results can be used as policy data for the establishment of leisure culture. The National Statistical Office's household trend survey is a yearly survey through a nationwide survey, but despite the fact that it is reliable data, it is not possible to apply various variables such as psychological characteristics to estimate consumer expenditure determinants more concretely. Has a limit of.

• KDI Journal of Economic Policy
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• v.33 no.3
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• pp.57-85
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• 2011

This paper investigates the effects of changes in household structure on service demand. The structure of households in Korea has been quickly changed due to low birth rate and population aging as well as increasing women's participation in the workforce. Their consumption patterns may have been altered by the structural changes. This paper focuses on the additional demand for market services replacing household activities such as household chores and care services. First, using a 3-sector time allocation model, we theoretically analyze the mechanism that marketization of household production can lead to the expansion of service industries. Next, in order to analyze the effects of changes in household structure on consumption demand, we estimate the Engel curves according to the QUAIDS model. For empirical work, the Survey of Household Finances was used. According to the results, structural changes in Korean households, such as an increase in single-person households, a decrease in families with a spouse or children under 6 years old, and an increase in dual-earner households, have caused an increase in medical expenses, education and training costs, and expenses for household services, which are typically substitutes for household production services.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.778-780
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• 2017

적절한 주택공급 및 주택정책을 위해서는 인구 및 가구 구조의 변화에 따른 주택수요의 예측의 정확성이 요구되고 있다. 본 연구에서는 기존 주택수요 예측에 있어서의 DB의 문제점들을 살펴보고 개선방안 및 빅데이터를 활용할 수 있는 DB 구축방안을 제시하였다. 향후, 기존에 활용되지 않고 있는 주택공시가격, 건축물대장, 가계동향조사, 인구주택 총조사 등을 활용하여 주택수요를 분석할 수 있도록 파일럿시스템을 개발하여 타당성을 검토할 예정이다.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.267-274
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• 2021

This paper examines the impact of the Basic Pension scheme in terms of poverty reduction and income distribution among elderly households by focusing on the differences in the household type. It compares the data before (2013) and after (2016, 2019) the introduction of Basic Pension by using Household Income and Expenditure Survey data. Empirical analyses indicate that, first, the overall income and the public income transfer of the elderly households increased during the period compared. Second, the poverty rate was considerably higher for the elderly living alone than for other household types. The government policy led to poverty-reduction for all types of elderly households, wherein the effect was most profound in the case of elderly living with spouse. Third, income distribution improved for all types of elderly households, though maximum margin was observed in the case of the elderly living alone. Fourth, according to the multivariate logit regression, the Basic Pension had a positive impact on reducing the risk of poverty (defined as below 40% of median income) among the elderly households.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5564-5577
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• 2014

This study examined how the differences in household characteristics influence consumer expenditure patterns. The Price-Scaling AIDS model with household income and expenditure survey data were used for the analysis. The results showed that the income elasticity of the service items is greater than non-service items, indicating an increase in higher demand of service items with the same increase in household income. The household expenditure patterns vary according to the commodities, holding age and income level. The so-called traditional pattern, which emphasizes spending for non-service items, changed to the one with a higher expenditure ratio for service items. Such a change in household expenditure patterns naturally derives the expansion of the relevant service market; hence, the growth of the related service industry. This highlights the need to formulate an appropriate response from the supply side that deals with the changes in the service market.

• Journal of Korean Society of Transportation
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• v.30 no.2
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• pp.7-20
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• 2012

The objective of this paper is to construct pseudo-panel data set and estimate price and income elasticities of car travel demand, using 1995-2007 household income and expenditure survey data, in order to provide quantitative information for analyzing related policy effects in the transport sector. We categorized household survey data into 14 cohorts based on the birth year of the household head. As the result, a total of 133 pseudo-panel data sets was created for estimating price and income elasticities of car travel demand. Especially, price and income elasticities of car travel demand were separately estimated both short-term and long-term. We analyzed the panel model considering fixed effect within cohorts, using explanatory variables such as previous year's fuel consumption, real household income after tax, education level of the household head, the number of children under five, and the share of household type averaged by cohorts. As results, the short-term and long-term price elasticities of car travel demand were calculated as 0.2974-0.4280 and 0.4087-0.6275, respectively. Similarly, the short-term and long-term income elasticities were calculated as 0.3364-0.6281 and 0.7098, respectively.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.660-670
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• 2019

The purpose of this study is to elaborate the logical configuration of livelihood benefits for the institutionalized recipients under the renewed custom-tailored benefit system of National Basic Livelihood Security System(NBLSS) and to present appropriate level of benefits in terms of coherency of the system. In July 2015, the NBLSS was reformed to adopt a relative level of benefit standard for the general recipients according to certain amount of ratio of standard median income. However, the benefit for the institutionalized recipients was still based on the cost of necessities of absolute poverty level. It is at this juncture that this study suggests livelihood benefits for the institutionalized recipients reflect standard median income to comply with the reform of the NBLSS. To this end, this study firstly derives basic living items for the institutionalized recipients based on the literature review and FGI. Secondly, it calculates the reflection ratio of livelihood benefits utilizing Household Trend Survey's consumption data under 40%. Finally, it applies equivalence scale of households to adjust the under-represented scale for large size institutions. To continue the reflection ratio method, it is necessary to review the consumption trends and the stability of the reflection ratio periodically.

• Journal of Environmental Policy
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• v.14 no.2
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• pp.101-131
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• 2015

A cap-and-trade program accounting for 60 percent of total national greenhouse gas emissions was launched in South Korea in 2015. Academic literature expects that the implementation of such a policy is likely to adversely impact income distribution among various socioeconomic groups in developed countries. South Korea is challenged by equity issues, as well circumstances, the distributional implications of carbon pricing policies need to be examined and reflected in the design of the program prior to implementation in order not to exacerbate social inequity. Using environmentally extended input-output analysis together with household expenditure data, this study finds that a carbon pricing policy will be regressive in South Korea, but the extent depends on whether relative burdens of a carbon pricing policy are measured based on current incomes or proxies of permanent incomes. Along with poor households, this paper finds that elderly and urban households will be more adversely impacted in South Korea. These burdens can be relieved if a small fraction of the revenue is redistributed to households.