Relevant bibliographies by topics / Household Survey

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Household Survey'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Household Survey"

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Vyas, Sangita, Nikhil Srivastav, Divya Mary, Neeta Goel, Sujatha Srinivasan, Ajaykumar Tannirkulam, Radu Ban, Dean Spears, and Diane Coffey. "Measuring open defecation in India using survey questions: evidence from a randomised survey experiment." BMJ Open 9, no. 9 (September 2019): e030152. http://dx.doi.org/10.1136/bmjopen-2019-030152.

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ObjectivesTo investigate differences in reported open defecation between a question about latrine use or open defecation for every household member and a household-level question.SettingRural India is home to most of the world’s open defecation. India’s Demographic and Health Survey (DHS) 2015–2016 estimates that 54% of households in rural India defecate in the open. This measure is based on a question asking about the behaviour of all household members in one question. Yet, studies in rural India find substantial open defecation among individuals living in households with latrines, suggesting that household-level questions underestimate true open defecation.ParticipantsIn 2018, we randomly assigned latrine-owning households in rural parts of four Indian states to receive one of two survey modules measuring sanitation behaviour. 1215 households were asked about latrine use or open defecation individually for every household member. 1216 households were asked the household-level question used in India’s DHS: what type of facility do members of the household usually use?ResultsWe compare reported open defecation between households asked the individual-level questions and those asked the household-level question. Using two methods for comparing open defecation by question type, the individual-level question found 20–21 (95% CI 16 to 25 for both estimates) percentage points more open defecation than the household-level question, among all households, and 28–29 (95% CI 22 to 35 for both estimates) percentage points more open defecation among households that received assistance to construct their latrines.ConclusionsWe provide the first evidence that individual-level questions find more open defecation than household-level questions. Because reducing open defecation in India is essential to meeting the Sustainable Development Goals, and exposure to open defecation has consequences for child mortality and development, it is essential to accurately monitor its progress.Trial registration numberRegistry for International Development Impact Evaluations (5b55458ca54d1).
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Ruranga, Charles, and Scott Hacker. "The Determinants of Households Having Savings Accounts in Rwanda." Rwanda Journal of Social Sciences, Humanities and Business 1, no. 1 (August 5, 2020): 6–19. http://dx.doi.org/10.4314/rjsshb.v1i1.2.

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This paper analyses the determinants of Rwandan households having savings accounts using Integrated Household Living Conditions Survey (IHLCS) data of 2010/11. After a background discussion and literature review an empirical analysis is presented with different variables adopted and analysed as determinants of household’s head having savings accounts. Poverty level, age, gender, residential area and level education of household head (literate or not) were considered as independent variables of the study. Findings from the estimations of logit models indicate the likelihood of a household having a savings account is positively and significantly related to each of the following: non-poor status of the household,the household residing in an urban area, the household head being male, and the household head being literate. Having the household head be literate tends to be more important for younger household heads and for non-poor households. The proportion of households having money in a savings account more than doubled over the decade between the IHLCS 2000/2001 survey and the IHLCS 2010/2011 survey. Government policies on savings and poverty reduction may explain the trend of increased cash balances in saving accounts. Key Words: Savings, Bank Accounts, Households, Determinants,
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Paterakis, Sophia E., and Michael Nelson. "A comparison between the National Food Survey and the Family Expenditure Survey food expenditure data." Public Health Nutrition 6, no. 6 (September 2003): 571–80. http://dx.doi.org/10.1079/phn2003469.

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AbstractObjective:Household budget surveys (HBSs) have been used to assess nutritional information for epidemiological purposes. The agreement between this information and other comparable data needs to be examined. The aim of this project was to compare household food expenditure data between two British HBSs: the National Food Survey (NFS) and the Family Expenditure Survey (FES).Design:Household food expenditure data were compared between the NFS and the FES for the years from 1982 to 1993. Differences in expenditure were assessed by year, by household composition, by income group and by region; for trends across time for all households and for regional, household composition and income group variations.Setting:Great Britain.Subjects:Approximately 88 000 NFS households and 85 000 FES households surveyed between 1982 and 1993 were used in this analysis.Results:Marked differences between the food expenditure data provided by the two surveys were observed. Furthermore, differences in time trends were substantial, which can lead to different conclusions regarding changes in consumption patterns.Conclusions:There is no obvious reason for the differences in household food expenditure between the NFS and the FES. Methodological differences between the two surveys cannot provide a full explanation for these discrepancies. The NFS and FES are now merged into a single survey (the Expenditure and Food Survey). If HBSs are to be used for epidemiological purposes their validity needs to be established.
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Fiedler, John L. "Food Crop Production, Nutrient Availability, and Nutrient Intakes in Bangladesh: Exploring the Agriculture—Nutrition Nexus with the 2010 Household Income and Expenditure Survey." Food and Nutrition Bulletin 35, no. 4 (December 2014): 487–508. http://dx.doi.org/10.1177/156482651403500410.

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Background Systematic collection of national agricultural data has been neglected in many low- and middle-income countries for the past 20 years. Commonly conducted nationally representative household surveys collect substantial quantities of highly underutilized food crop production data. Objective To demonstrate the potential usefulness of commonly available household survey databases for analyzing the agriculture—nutrition nexus. Methods Using household data from the 2010 Bangladesh Household Income and Expenditure Survey, the role and significance of crop selection, area planted, yield, nutrient production, and the disposition of 34 food crops in affecting the adequacy of farming households' nutrient availability and nutrient intake status are explored. The adequacy of each farming household's available energy, vitamin A, calcium, iron, and zinc and households' apparent intakes and intake adequacies are estimated. Each household's total apparent nutrient intake adequacies are estimated, taking into account the amount of each crop that households consume from their own production, together with food purchased or obtained from other sources. Results Even though rice contains relatively small amounts of micronutrients, has relatively low nutrient density, and is a relatively poor source of nutrients compared with what other crops can produce on a given tract of land, because so much rice is produced in Bangladesh, it is the source of 90% of the total available energy, 85% of the zinc, 67% of the calcium, and 55% of the iron produced by the agricultural sector. The domination of agriculture and diet by rice is a major constraint to improving nutrition in Bangladesh. Simple examples of how minor changes in the five most common cropping patterns could improve farming households' nutritional status are provided. Conclusions Household surveys' agricultural modules can provide a useful tool for better understanding national nutrient production realities and possibilities.
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Johnstone, Nick, and Ysé Serret. "Determinants of bottled and purified water consumption: results based on an OECD survey." Water Policy 14, no. 4 (October 16, 2011): 668–79. http://dx.doi.org/10.2166/wp.2011.048.

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In the face of dissatisfaction with the quality of public water supply, there is significant ‘willingness-to-pay’ for improved services. However, pressuring authorities for public sector investments in water quality services is not the only means at the disposal of households to bring about improvements in drinking water quality. On the one hand, households can invest in purification systems at the level of the individual household. On the other, they can consume bottled water for their drinking needs. Based on a survey of 10,000 households, this paper analyses the determinants of a household's decision to purchase bottled water or invest in a purification system. Negative perceptions of tap water quality (health and taste concerns) affect the decision to purchase bottled water and home purification, with much greater effect on bottled water consumption. The same is true of household income. Household size, the presence of children in the household and length of residence affects the decision to invest in purification, but not bottled water consumption. Concern about solid waste has a negative impact on bottled water consumption, and car ownership has a positive impact.
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Sekaringsih, Riswanti Budi. "Does Finance Access Matters for Children? An Evidence Form Indonesia Family Life Survey 5 and 4." Global Review of Islamic Economics and Business 5, no. 1 (December 7, 2017): 055. http://dx.doi.org/10.14421/grieb.2017.051-05.

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As explained in the declaration of Sustainable Development Goals (SDG) in January 2016, two of the achievements are good health and wellbeing and quality education. Households as one of the drivers of the economy, household should be able to improve this achievement. Because There are two kinds of household’s outcome such as; child health and child education. One of the factors that influence this outcome is household financial access. A household who had better access on finance was more sustain than the other. This study aims to examine the impact of household financial acces on child education and child health. Source of data that used is Indonesia Family Life Survey (IFLS/SAKERTI) year 2014 and 2007. The recognition that finance access is an input in a household's production function has major implications for development. It suggests that the acquisition of human capital and the establishment of a physical infrastructure needs to be complemented by human investment the estimation is done in three ways; pooled OLS, fixed effect and random effect. The result shows that finance access matters for child health, specially the availability of BRI and BMT in village. And for child education, finance access specially the availability of BRI and BMT in village have positive impact for child education.
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Rahman, Nora Azureen Abdul, Zunarni Kosim, and Siew Goh Yeok. "Household Indebtedness in Malaysia: A Survey Evidence." International Journal of Trade, Economics and Finance 7, no. 4 (August 2016): 102–4. http://dx.doi.org/10.18178/ijtef.2016.7.4.507.

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Huang, Tsung, Xin Xu, and Tsun-Feng Chiang. "Household Expectations for Future Economy and Risk-Taking Attitudes." Journal of Financial Counseling and Planning 27, no. 1 (2016): 109–21. http://dx.doi.org/10.1891/1052-3073.27.1.109.

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The purpose of this study is to examine factors associated with households’ willingness to take financial risks, particularly the effect of households’ expectations. The data used in this study are the Survey of Consumer Finances 2007 by which researchers can examine the household financial issues before the financial crisis. By employing multinomial logit regression, the new finding of this study is that when the households expect that the future economy will be better, they are not willing to take either no or substantial financial risk. This study uses the uncertainty theory with the timing of the survey to interpret this seemingly unintuitive result. Other findings are that age, more working people in a household, male, education, and majority race are household characteristics positively affecting the probability of the household’s willingness to take average and above average financial risks.
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Balanda, Kevin P., Ian T. Ring, Dawn Spinks, Jim Nixon, and W. Robert Pitt. "Reducing Childhood Home Injuries: The Role of Local Home Safety Surveys." Australasian Journal of Early Childhood 20, no. 2 (June 1995): 32–41. http://dx.doi.org/10.1177/183693919502000207.

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Fifty per cent of all childhood injuries, and 75% of those amongst children aged under five years, occur in private homes. In 1989 a random survey of 1050 Brisbane households was conducted to investigate their home injury risk profile and the knowledge, attitudes and beliefs of their residents. The survey comprised a personal interview with the householder and a visual assessment of the interior and exterior of the household. This paper summarises key results of the visual assessments and describes community knowledge, attitudes and beliefs regarding home safety. The paper argues that household home safety surveys are useful and necessary adjuncts to local injury surveillance collections. We give three examples of how they can contribute to the reduction of childhood home injury.
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Atamja, Louis, and Sungjoon Yoo. "Credit Constraint and Rural Household Welfare in the Mezam Division of the North-West Region of Cameroon." Sustainability 13, no. 11 (May 25, 2021): 5964. http://dx.doi.org/10.3390/su13115964.

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The purpose of this study is to examine the effect of the rural household’s head and household characteristics on credit accessibility. This study also seeks to investigate how credit constraint affects rural household welfare in the Mezam division of the North-West region of Cameroon. Using data from a household survey questionnaire, we found that 36.88% of the households were credit-constrained, while 63.13% were unconstrained. A probit regression model was used to examine the determinants of households’ credit access, while an endogenous switching regression model was used to analyze the impact of credit constraint on household welfare. The results from the probit regression model indicate the importance of the farmer’s or trader’s organization membership, occupation, and savings to the household’s likelihood of being credit-constrained. On the other hand, a prediction from the endogenous switching regression model confirms that households with access to credit have a better standard of welfare than a constrained household. From the results, it is necessary for the government to subsidize microfinance institutions, so that they can take on the risk of offering credit to rural households.
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Dissertations / Theses on the topic "Household Survey"

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de, Kock Samantha. "Household recycling behaviour in South Africa: Evidence from the 2018 General Household Survey." Master's thesis, Faculty of Commerce, 2021. http://hdl.handle.net/11427/32634.

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This paper is an investigation of the determinants of household recycling behaviour in South Africa. Waste generation around the world is growing exponentially. The proportion of South African households who recycle is very low and landfilling is the primary method of waste disposal. This is problematic because landfilling has a negative impact on the environment and human health. Therefore, alternatives to landfilling, like recycling are necessary. Thus, it is important to understand what determines recycling behaviour. A probit regression analysis was carried out using data from the 2018 General Household Survey in order to understand household recycling behaviour. The results of the regression suggest that age, race, province, urban-rural residence, the presence of a radio in the household, and owning a vehicle are significantly correlated with household recycling behaviour (p<.10). Additionally, gender, marital status and household income are also significantly correlated with household recycling behaviour. However, the relationship is weaker (p<.10). Surprisingly, education, employment, dwelling-type, tenure and the presence of a school child in the household have no effect on recycling participation. These results can help policy-makers understand what factors influence recycling behaviour and help them develop and implement effective policies that optimise recycling activity.
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Wang, Qian. "Smartphone-based Household Travel Survey - a Literature Review, an App, and a Pilot Survey." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc700116/.

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High precision data from household travel survey (HTS) is extremely important for the transportation research, traffic models and policy formulation. Traditional methods of data collection were imprecise because they relied on people’s memories of trip information, such as date and location, and the remainder data had to be obtained by certain supplemental tools. The traditional methods suffered from intensive labor, large time consumption, and unsatisfactory data precision. Recent research trends to employ smartphone apps to collect HTS data. In this study, there are two goals to be addressed. First, a smartphone app is developed to realize a smartphone-based method only for data collection. Second, the researcher evaluates whether this method can supply or replace the traditional tools of HTS. Based on this premise, the smartphone app, TravelSurvey, is specially developed and used for this study. TravelSurvey is currently compatible with iPhone 4 or higher and iPhone Operating System (iOS) 6 or higher, except iPhone 6 or iPhone 6 plus and iOS 8. To evaluate the feasibility, eight individuals are recruited to participate in a pilot HTS. Afterwards, seven of them are involved in a semi-structured interview. The interview is designed to collect interviewees’ feedback directly, so the interview mainly concerns the users’ experience of TravelSurvey. Generally, the feedback is positive. In this study, the pilot HTS data is successfully uploaded to the server by the participants, and the interviewees prefer this smartphone-based method. Therefore, as a new tool, the smartphone-based method feasibly supports a typical HTS for data collection.
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Ma, Shaoying. "The Effect of Income Inequality on Household Consumption: Evidence from China Household Finance Survey Data." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1511399435116049.

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Gray, Daniel. "Household finances, well-being and subjective financial situation : an empirical analysis of household survey data." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/5142/.

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This thesis aims to contribute to the existing literature relating to household finances and well-being by considering three related, yet distinct, topics. Recently, household finances and well-being have received increasing academic attention for numerous reasons, including the recent economic downturn. This thesis aims to explore household finances, well-being and the relationship between them. Chapter 2, the first empirical chapter, investigates the determinants of household financial portfolio allocation in the U.S. by exploring the proportion of total financial assets allocated to four distinct asset categories. The chapter employs a variety of econometric techniques to ascertain whether accounting for the proportional nature of the dependent variables influences the estimated coefficients. The analysis shows that it is important to separate decisions over holding different asset types and the proportions held. Chapter 3 explores the relationship between the household’s financial position and well-being in Britain, Australia and Germany. Building on the existing literature by employing panel data techniques, the analysis suggests that subjective financial position is an important determinant of well-being, while monetary levels of the household’s financial situation have a limited direct impact on well-being. Chapter 4 aims to ascertain the determinants of the subjective financial position and further explores the relationship between the head of household’s subjective financial position and overall life satisfaction in Australia and Germany. It is found that assets and net wealth are positively related to the subjective financial position, whereas debt levels are inversely related. In addition, risk attitudes are found to be an important determinant of subjective financial position. For Australia, once a joint modelling approach is implemented, there is no statistical relationship found between the head of household’s subjective financial position and overall life satisfaction. In Germany, the subjective financial position appears to mediate the relationship between monetary financial measures and overall life satisfaction.
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Rathore, Akash. "Tool for querying the National Household Travel Survey data." Kansas State University, 2018. http://hdl.handle.net/2097/38795.

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Master of Science
Department of Computer Science
Doina Caragea
The goal of the project is to create a database for storing the National Household Travel Survey (NHTS) data, and a user interface to query the database. Currently, the survey data is stored in excel files in the CSV format, which makes it hard to perform complex analyses over the data. Analyses of interest to transportation community include comparisons of the trips made by urban household to those made by rural household, finding the average trip time spent based on ethnicity, the total travel time of a particular household, the preferred vehicle by a specific household, average time spent per shopping trip, etc. The tool designed for the purpose of querying the NHTS database is a Python-based Web application. Django is used as the Web framework for this project and PostgreSQL is used for the back-end purpose. The user interface consists of various drop-down lists, text-boxes, buttons and other user interface components that facilitate querying the database and presenting the results in formats that allow easy interpretation. FusionCharts Django-Wrapper and FusionCharts Jquery-Plugin are used to visualize the data in the chart form. A Codebook of the NHTS dataset is also linked for the reference purpose at any point for the user. The tool built in the project allows the user to get a deeper understanding of the data, not only by plotting the data in the form of line charts, bar charts, two column graph, but also by providing the results of the queries in the CSV format for further analysis.
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Jim, Abongile. "Health seeking behaviours in South Africa: a household perspective using the general households survey of 2007." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1219_1360587139.

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This study is aimed at empirically examining health seeking behaviours in terms of illness response on household level at South Africa using 2007 General Household Survey and other
relevant secondary sources. It provides an assessment of health seeking behaviours at the household level using individuals as unit of analysis by exploring the type of health care provider sought, the reason for delay in health seeking and the cause for not consulting. This study also assesses the extent of dissatisfaction among households using medical centres and this factor in health care utilisation is considered as the main reason for not consulting health care services. All the demographic and health seeking variables utilised in this study are controlled for medical aid cover because it is a critical variable in health care seeking. Therefore this study makes distinction on illness reporting and they type of health care consulted by medical aid holders and non medical aid holders. Statistical analyses are conducted to explore and predict the way in which demographic variables and socio economic variables affect health care seeking behaviours.

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Finn, Arden. "Economic mobility in South Africa: evidence from household survey data." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/26903.

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High levels of inequality, poverty and unemployment are some of the most substantial challenges facing post-apartheid South Africa. Most of the research addressing these questions has used micro datasets to compare snapshots of welfare over time. Although these studies are both interesting and useful, they have been unable to extend their analysis into a nationally-representative dynamic setting, due to the lack of available data. The paucity of large longitudinal datasets has also limited the number of studies of economic mobility, which allows researchers to track the welfare measures of the same individuals over time. This means that while we know a great deal about how South Africans are doing at a particular point in time, we know far less about how they are faring dynamically. Understanding how and why economic mobility happens in South Africa is therefore a question that demands attention. From both a distributive justice as well as a policy point of view, the distinction that arises when we drop the assumption of anonymity and move from a cross-sectional measure of welfare to a dynamic one is important. This is because many of the conclusions about longer-run welfare are dependent on the level of economic mobility present in society. This study contributes to the body of work on welfare in South Africa by addressing three different aspects of economic mobility. The first of these is about how a particular kind of measurement error in household surveys is best detected, and what effect its presence has on the understanding of labour market mobility. The second is about how best to model money-metric poverty dynamics in South Africa in order to better understand who escapes poverty and who enters poverty over time. The third is about how the persistence of intergenerational earnings should be calculated in a society with high unemployment, and what the role of education is in shaping these mobility dynamics.
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Corrigall, Joanne. "Immunisation coverage of the Western Cape Province : household survey 2005." Master's thesis, University of Cape Town, 2009. http://hdl.handle.net/11427/9318.

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Includes bibliographical references.
[Objective] To determine the routine immunisation coverage rates in children aged 12-23 months in the Western Cape and factors affecting immunisation coverage. [Design] Cross-sectional Household Survey using an adaptation of the '30x7' cluster survey technique (multi-stage sampling). [Setting] Households across the Western Cape. [Subjects] 3705 caregivers of children aged 12-23 months who had been living in the Western Cape for at least 6 months. [Outcome Measures] Vaccination Status (1=fully vaccinated, 0=partially vaccinated) as recorded on a Road to Health card or given by history. Factors affecting caregivers' vaccination behaviour established from a questionnaire. [Results] The immunisation coverage was 76.8% for vaccines due by 9 months and 53.2% for vaccines due by 18 months. The reasons given for not being imunised were clinic-related factors (47%), lack of information (27%), lack of information (27%), caregiver being unable to attend the clinic (23%) and lack of motivation (14%). Of clinic factors cited, the two commonest factors were missed opportunities (34%) and being told by clinic staff to come back another time (20%). Factors enhancing coverage included possession of a Road-to-Health card, caregiver knowledge about vaccines and perceived attitude of clinic staff. Certain racial inequities in coverage were also apparent, particularly in the Boland-Overberg Region. [Conclusion] While the coverage indicated that a lot of good work has been done, the coverage was insufficient to prevent outbreaks of measles and other common childhood conditions including polio. The coverage was too low to consider not running periodic mass campaigns for measles and polio. The reasons given by caregivers for their children not being immunized and factors associated with increased coverage are valuable pointers as to where interventions should be focused.
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Ngum, Kimbung Julious. "Household access to water and willingness to pay in South Africa: evidence from the 2007 General Household Survey." University of the Western Cape, 2011. http://hdl.handle.net/11394/2897.

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Magister Philosophiae - MPhil
This study assesses the present level of household water access and the willingness to pay in South Africa. Although the general literature informs that progress has been made in positing South Africa above the levels found in most African countries, there are some marked inequalities among the population groups and across the provinces, with some performing well and others poorly in this regard. The study looks at the extent to which households differ in terms of water access and willingness to pay according to the province of residence. The study focuses on household heads; male and female, through different social and demographic attributes, by taking account of variables such as age, education attainment, geographic areas, and population group to name but a few. The data used in this study comes from the 2007 General Household Survey (GHS) conducted by Statistics South Africa. The scope is national and employs cross tabulation and logistic regression to establish relationships and the likelihood of living in a household with access to safe drinking water in South Africa. Results presented in this study suggest that the difference is determined by socio- demographic characteristics of each household such as age, gender, population group, level of education, employment status income, dwelling unit, dwelling ownership, living quarters, household size and income. It throws more light as to what needs to be taken into account when considering demand and supply of and priorities for water intervention from the household perspective.
South Africa
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Palmer, Django. "Estimating the LES demand system using Finnish household budget survey data." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-376293.

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Books on the topic "Household Survey"

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Foundation, Charities Aid. Charity household survey. Tonbridge: Charities Aid Foundation, 1990.

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Great Britain. Office of Population Censuses and Surveys. Social Survey Division. General household survey. London: HMSO, 1989.

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Office, Ireland Central Statistics. Quarterly National Household Survey. Dublin: Stationery Office, 1999.

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Fife (Scotland). Planning and Building Control Service. Fife household shopping survey. Glenrothes: Fife Council, Planning & Building Control Service, 2000.

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Office, Ireland Central Statistics. Quarterly National Household Survey. Dublin: Stationery Office, 1999.

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Senior, M. L. The household survey: Methodology. Salford: University of Salford, Department of Geography, 1991.

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Office, Ireland Central Statistics. Household budget survey 1987. Dublin: Central Statistics Office, 1989.

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Muhammad, Ashraf, Family Advancement for Life and Health, and Population Council, eds. Khuzdar: Baseline household survey. Islamabad: Family Advancement for Life and Health, 2009.

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Ralph, DiGaetano, Waksberg Joseph, United States. Agency for Health Care Policy and Research., and Center for General Health Services Intramural Research (U.S.), eds. Sample design of the 1987 household survey. Rockville, Md: Agency for Health Care Policy and Research, Center for General Health Services Intramural Research, 1991.

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McPeake, John. Ru ral household survey 1991. Belfast: Housing Executive, 1991.

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Book chapters on the topic "Household Survey"

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Jong Gierveld, Jenny. "The Collection of Survey Data on Household Structures." In Household Demography and Household Modeling, 137–62. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-5424-7_6.

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Alinovi, Luca, Erdgin Mane, and Donato Romano. "Measuring Household Resilience to Food Insecurity: Application to Palestinian Households." In Agricultural Survey Methods, 341–68. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470665480.ch21.

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Donni, Olivier, and Pierre-André Chiappori. "Nonunitary Models of Household Behavior: A Survey of the Literature." In Household Economic Behaviors, 1–40. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9431-8_1.

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Ashenfelter, Kathy. "Building Household Rosters Sensibly." In The Palgrave Handbook of Survey Research, 417–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54395-6_51.

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Daniels, Reza Che. "Introduction." In How Data Quality Affects our Understanding of the Earnings Distribution, 1–6. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3639-5_1.

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AbstractThis book is concerned with the measurement and quality of employee income from household survey (micro) data. The empirical applications are based on South African household surveys compiled by the national statistics agency (Statistics South Africa). Despite this specificity, the insights are generalisable to any household survey concerned with measuring income.
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Koch, Achim. "Within-household Selection of Respondents." In Advances in Comparative Survey Methods, 93–111. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118884997.ch5.

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Klag, Andrea. "Survey of Uses of Domestic Appliances in United Kingdom 1996." In Energy Efficiency in Household Appliances, 171–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60020-3_21.

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Ndesanjo, Ronald Boniphace, Ida Theilade, and Martin Reinhardt Nielsen. "Pathways to Enhance Climate Change Resilience among Pastoral Households in Northern Tanzania." In African Handbook of Climate Change Adaptation, 2591–609. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_128.

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AbstractThe objective of this study was to evaluate the pathways to enhance resilience to increased climate variability and directional change among pastoral households in Simanjiro District in Northern Tanzania. The study used household survey and rainfall and temperature data. Results indicate increasing temperature and decreasing precipitation trends over the past four decades. Also, extreme climatic events, particularly drought, have become more frequent. Food and water insecurity are key factors causing an increased household vulnerability. Increased climate change-induced malaria prevalence poses additional health risks. Household adaptive strategies include livelihood diversification and migration. Local institutions are instrumental in enhancing climate change resilience at the local level. We conclude that livelihood diversification and migration are key pathways to enhancing households’ climate change resilience.
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Motsholapheko, M. R., and B. N. Ngwenya. "Access to Water Resources and Household Vulnerability to Malaria in the Okavango Delta, Botswana." In African Handbook of Climate Change Adaptation, 1227–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_165.

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AbstractMalaria is a persistent health risk for most rural communities in tropical wetlands of developing countries, particularly in the advent of climate change. This chapter assesses household access to water resources, livelihood assets, and vulnerability to malaria in the Okavango Delta of north-western Botswana. Data were obtained from a cross-sectional survey of 355 households, key informant interviews, PRA-based focus group discussions (FDGs), interviews with experts in various related fields, PRA workshop participant interviews, and literature review. There was high access to natural capital, and most households engaged in nature-based livelihood activities. Access to resources determined type of livelihood activities that households engaged in. However, there was no association between household exposure and/or susceptibility, and type of livelihood activities pursued by households. Household vulnerability to malaria was higher in remote and rural locations than in urban neighborhoods. Malaria prevention and vulnerability aversion programs need to be coupled with improvements in housing and well-being in the Okavango Delta and similar wetlands.
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Chen, Yuqi, and Linong Dai. "User Survey Based on Household Product Consumption Experience." In Advances in Human Factors, Business Management and Leadership, 167–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80876-1_22.

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Conference papers on the topic "Household Survey"

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Turdalieva, Ainura, and Raziya Abdiyeva. "The Impact of Access to Irrigation on Rural Household Income in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2022. http://dx.doi.org/10.36880/c14.02666.

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Agriculture is the main source of income of households in rural area. Therefore, access to irrigation significantly impact the level of income of households. Consequently, the quality of irrigation infrastructure has essential effect on the level of household welfare and their economic performance. Improving water use efficiency and infrastructure will positively affect households’ income in rural areas. In this study we analyzed the impact of access to irrigation to household income in rural area by using of Life in Kyrgyzstan Survey data for the year of 2016. The effect of access to irrigation on income of households in Kyrgyzstan analyzed according to size of land, type of irrigation, amount of water used and cost of irrigation, gender, and age of household head by using ordinary least square regression model. Results showed that access to an irrigation canal and using the tillage method significantly increase household income.
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Aseinov, Dastan, Burulcha Sulaimanova, and Kamalbek Karymshakov. "Determinants of Capital Formation of Smallholder Farmers in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02032.

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Capital formation is crucial to increase output volume and quality in agricultural production activity of households. This study examines factors affecting capital formation of smallholder farmers in Kyrgyzstan ranging from household characteristics to location of farmers. Along with other traditional potential constraints that may have impact on capital formation, we examine the role of social network activities. These expenditures on customs and traditions may have both negative and positive effects on the capital formation in agriculture. Our empirical analysis is based on the cross-sectional household survey data for 2013. According to our findings, the amount of physical assets of households in Kyrgyzstan mainly depends on the share of expenses on customs and traditions, the total income, gender differences and the ethnicity of the head of household.
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Brush, A. J. Bernheim, and Tammara Combs Turner. "A survey of personal and household scheduling." In the 2005 international ACM SIGGROUP conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1099203.1099263.

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Karymshakov, Kamalbek, Kadyrbek Sultakeev, and Burulcha Sulaimanova. "The Impact of Microfinance on Entrepreneurship in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01412.

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This paper aims to investigate the impact of microfinance on entrepreneurship in Kyrgyzstan. For estimation the nationally representative "Kyrgyz Integrated Household Survey" for 2013 is used, which covers around 5000 households from all regions in the country. The main variable of interest, the probability of being an entrepreneur of household members depends on individual, household level characteristics and on microfinance loan receiving status. Following the literature, due to the endogeneity issue in using microcredit loan in estimation, this research applies binary response model with instrumental variables. Estimation results show that participation in the micro loan raises the probability of individual to be entrepreneur.
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Sloka, Biruta, Ieva Brence, and Henrijs Kalkis. "Application of information technologies for social inclusion: current trends and future prospective." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002652.

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Remote work and remote studies has increased in great extent the requirements of information technologies use and skills to apply information technologies. In European Union countries annually it is checked the availability of computer software as well as skills of information technologies use: there are annually conducted surveys on survey on use of information and communication technologies (ICT) in households and by individuals. The aim of the paper is to research theoretical aspects and to analyze internet use in regions of Latvia for checking on whether there is statistically significant use. The source of the data is the questionnaire No. ICT-persons “Use of computers and the internet in households”. As well as Labor Force Surveys, EU-SILC survey data. Research methods applied: scientific publication analysis, time-series analysis of internet use in Baltic countries, analysis of data on differences of availability of computers in households by regions of Latvia by analysis if variance or ANOVA, by territories (urban and rural) by t – test and by household size by ANOVA.
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Karymshakov, Kamalbek, Raziya Abdiyeva, and Burulcha Sulaimanova. "Worker’s Remittances and Poverty in Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00888.

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This paper aims to evaluate the impact of internal and international remittances on poverty in Kyrgyzstan using household survey data for 2011. Following Adams and Cuecuecha (2010) two-stage multinomial logit model suggested by Bourguigon et al. (2007) is used. Methodology use instrumental variables to solve the selectivity bias issue and then estimates counterfactual expenditure of households. Households are classified as international remittance receiving, internal remittance receiving and remittance non-receiving. For evaluation of remittances impact on poverty counterfactual expenditures are compared with observed actual expenditure by household types. Expenditure level for 2011 for definition of national poverty line in Kyrgyzstan is used as the benchmark for poverty impact of remittances. Results show that international remittances considerably decrease poverty level. Per capita expenditure of international remittance receiving households would be lower than expenditure of poverty line for 2011, if they did not receive remittances. Internal remittance receiving households also would decrease expenditures, but it would still be higher than poverty line.
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Xian, Kai, Zhili Liu, Dexin Zhang, and Huabing Du. "Expansion and Validation of Beijing Household Interview Survey Data." In Ninth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41064(358)181.

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Egamberdiev, Bekhzod, and Dilshod Zoirov. "Effect of Migration on Household and Left Behind Family Members: Case of Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02202.

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More than billion international and internal migrations around the world as well as the relationship between migrant and its family members have been one of the most discussed policy questions for several years. Main purpose of the paper is to examine the impact of labor migration on household, in order to address arising social problems due to the migration of family member. To find the impact, it was used secondary data named "Life in Kyrgyzstan" which is research based, open access and multi-topic longitudinal survey of households in Kyrgyzstan. It includes more than 3000 households which were recorded from 2010 to 2013. The result of the research is: there is a positive impact of remittances on child education, while negative on nonfood spending. Also housing condition is directly related with migration and significant impact can be seen in terms of facilities and type of household. Based on findings, it was provided some policy recommendations to simplicity of the social and other issues in the household of migrant's. One of the recommendations is: The Government of Kyrgyzstan should pay high attention on keeping citizens inside the country and should consider about shifting its policies which encourage labor migration, instead it should pay more attention on development of small and medium enterprise supporting method, which actually helps to create several number of job positions.
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Mukherjee, Himadri, Samarjit Kar, Swapan Paruya, Samarjit Kar, and Suchismita Roy. "Fuzzy Expert System for Rural Household Survey in West Bengal." In INTERNATIONAL CONFERENCE ON MODELING, OPTIMIZATION, AND COMPUTING (ICMOS 20110). AIP, 2010. http://dx.doi.org/10.1063/1.3516381.

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Wang, Chunmiao, Chao Yang, and Wen Ye. "Activity Patterns Identification Based on National Household Travel Survey Data." In 19th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2019. http://dx.doi.org/10.1061/9780784482292.523.

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Reports on the topic "Household Survey"

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Libra, Jesse Madden, and María Alejandra Baquero. FS 1.3 OLAS Household Survey Data Set. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004653.

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This fact sheet describes the OLAS Household Survey data set, created using data from national household surveys throughout the region, to serve as a set of water and sanitation indicators with uniform definitions for countries in LAC, allowing for more coherent comparison across countries. This fact sheet describes sectoral data issues with respect to water and sanitation access, benefits of the OLAS Household Survey data set, and its limitations.
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Hu, Patricia S., Tim Reuscher, Richard L. Schmoyer, and Shih-Miao Chin. Transferring 2001 National Household Travel Survey. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/931511.

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Crossley, Thomas, Liam Delaney, Joachim K. Winter, and Jochem de Bresser. Can survey participation alter household saving behavior? Institute for Fiscal Studies, March 2014. http://dx.doi.org/10.1920/wp.ifs.2014.1406.

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Beuermann, Diether, Laura Giles Álvarez, Bridget Hoffmann, and Diego A. Vera-Cossio. COVID-19 Household Telephone Survey in Barbados. Inter-American Development Bank, October 2020. http://dx.doi.org/10.18235/0002813.

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Libra, Jesse Madden, and María Alejandra Baquero. FS 1.5 OLAS Household Survey Data Set: Sanitation Access Indicator. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004651.

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This fact sheet describes and analyzes sanitation access indicators from the OLAS Household Survey data set. The dataset, created using data from national household surveys throughout the region, serves as a set of water and sanitation indicators with uniform definitions for countries in LAC, allowing for more coherent comparison across countries.
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Libra, Jesse Madden, and María Alejandra Baquero. FS 1.4 OLAS Household Survey Data Set: Water Access Indicators. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004652.

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This fact sheet describes and analyzes water access indicators from the OLAS Household Survey data set. The dataset, created using data from national household surveys throughout the region, serves as a set of water and sanitation indicators with uniform definitions for countries in LAC, allowing for more coherent comparison across countries.
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Research Institute (IFPRI), International Food Policy. Papua New Guinea survey report: Rural household survey on food systems. Washington, DC: International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133067.

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Cusbert, Tom. The Effect of Credit Constraints on Housing Prices: (Further) Evidence from a Survey Experiment. Reserve Bank of Australia, January 2023. http://dx.doi.org/10.47688/rdp2023-01.

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The response of housing prices to financing conditions is determined by the effect on the marginal buyer, not the average household. I use heterogeneous willingness to pay (WTP) data from a stated preference experiment in Fuster and Zafar (2021) to estimate the effects of changes in mortgage rates and collateral constraints on housing prices by analysing the structure of housing demand curves. This work builds on their research, which focused on average changes in WTP. Relaxing down payment constraints has a large average effect on WTP, but the effect on price is less than half as large. Financially constrained households tend to respond more to relaxed constraints, but those households often have WTPs that are too low to affect market prices. Changing the mortgage rate has the same average effect on WTPs and on market prices, because there is no systematic relationship between a household's response to mortgage rates and their location on the demand curve. I use a heterogeneous user cost model of individual WTPs to understand how household heterogeneity determines the structure of overall housing demand. An empirical model using observable household characteristics allows the experimental findings to be applied to other household survey data to simulate the effects of credit conditions. The simulated effects of easing collateral constraints in Australia are fairly stable over the past 20 years, and show a similar pattern to the US results.
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Rost, Lucia, and Sandrine A. Koissy-Kpein. Infrastructure and Equipment for Unpaid Care Work: Household survey findings from the Philippines, Uganda and Zimbabwe – 2017 Household Care Survey report. Oxfam GB, March 2018. http://dx.doi.org/10.21201/2017.1671.

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Hu, PS. Summary of Travel Trends 2001 National Household Travel Survey. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/885762.

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