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Relevant bibliographies by topics / Household surveys

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Academic literature on the topic 'Household surveys'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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Journal articles on the topic "Household surveys"

1

Clark, Robert G., and David G. Steel. "Sampling within households in household surveys." Journal of the Royal Statistical Society: Series A (Statistics in Society) 170, no. 1 (January 2007): 63–82. http://dx.doi.org/10.1111/j.1467-985x.2006.00434.x.

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Apoorva, R., Durba Biswas, and Veena Srinivasan. "Do household surveys estimate tap water use accurately? Evidence from pressure-sensor based estimates in Coimbatore, India." Journal of Water, Sanitation and Hygiene for Development 8, no. 2 (February 19, 2018): 278–89. http://dx.doi.org/10.2166/washdev.2018.127.

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Abstract Quantifying domestic water use at the household scale is crucial for any policy interventions towards ensuring adequate, equitable and safe water access. In developing country contexts, piped water supply is often one of several sources from which households access water and this is often unmetered. The most common approach to quantifying household water use from multiple sources is through household surveys. But there is no evidence that household surveys accurately estimate water use. This study utilized high-resolution pressure-sensor data as a reference to evaluate the effectiveness of conventional household survey methods through a sample of 82 households in Coimbatore city in South India. The pressure sensors produced detailed, continuous and accurate information on all sources of water accessed through the household storage infrastructure, but they were expensive and intrusive. Compared with pressure-sensor derived estimates of tap water use, household surveys alone fared very poorly. However, household surveys and well-designed water diaries of supply and pumping, coupled with simple one-time field measurements, emerged as a valid approach to quantifying household water use from taps under multiple source dependence.

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Sarioglo, V. "25 Years of Experience in Household Sample Surveys in the Official Statistics of Ukraine: Main Assets, Problems, Prospects." Statistics of Ukraine 100, no. 1 (March 31, 2023): 27–39. http://dx.doi.org/10.31767/su.1(100)2023.01.03.

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Since 1998, the state statistics of Ukraine has accumulated a huge experience in organizing and conducting household sample surveys in accordance with international recommendations and standards. Nowadays, the harmonized system of surveys includes the Household Living Conditions Survey, the Labor Force Survey and the Survey of Household Agricultural Activities in rural areas. About 100,000 households are surveyed annually, which represent all private households in various samples of these surveys. A significant number of specialists with the necessary knowledge and skills have been trained in the State Statistics Service of Ukraine (hereinafter - SSSU), territorial bodies of the SSSU. The article considers the main characteristics of the SSSU experience in the field of methodology and practice of organizing and conducting the household sample surveys, collecting and processing surveys’ data, statistical indicators estimation. The strengths and weaknesses of the acquired experience, potential directions for improvement of surveys, risks that may affect the quality of their results in the future, plans for the development of the system of sample surveys and the use of new methods of data collecting and processing are discussed. It is noted that the acquired experience made it possible to approach in 2021 to the development of the basis for introduction of such actual survey in Ukraine as the EU statistics on income and living conditions (EU-SILC), to foresee the use of new data collection technologies CAPI, CATI and CAWI without any particular problems. At the same time, it is shown that some important methodologies regarding the estimation of indicators based on survey results have not been implemented. It is noted that an urgent problem for the SSSU is the use of "big data" in household surveys, which provides the opportunity of significantly reducing the burden on households during the survey, improving the completeness and timeliness of information about them, reducing costs for survey providing, etc. Such data could provide also estimation of certain important statistical indicators during the war. The risks of an accelerated transition for conducting the state household sample surveys mainly using CATI and CAWI technologies are discussed, related to the possibility of a significant deterioration in the quality of the survey results due to the lack of relevant skills of the SSSU specialists, insufficient level of Internet use by the population, lack of population and household registers with quality data in Ukraine, etc.

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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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Babovic, Marija, and Slobodan Cvejic. "Survival strategies of Serbian households." Sociologija 44, no. 2 (2002): 97–126. http://dx.doi.org/10.2298/soc0202097b.

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Concept of household strategies was firstly used in poverty surveys in Africa and Latin America, and lately developed in economic changes surveys in Western developed societies. Connecting the structure and action, macro and micro level of analysis and focusing on households, rather than individual as basic unit of analysis, the concept opened possibilities for better understanding of household economic behavior during social and economic changes. New developments concept experienced in numerous surveys in post-socialist as well as 'post-fordists' societies. The economic household strategies surveys were conducted in Serbia in two waves - in summer of 2000. and autumn of 2002. Comparative analysis of results has not show significant changes in socio-economic position of households. However, changes were evident in the field of action (economic strategies of households and individuals). Decreasing of passive and defensive strategies and increasing of pro-active, particularly working strategies were significant trends from survey.

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Altmann, Kristina, René Bernard, Julia Le Blanc, Enikö Gabor-Toth, Malik Hebbat, Lisa Kothmayr, Tobias Schmidt, Panagiota Tzamourani, Daniel Werner, and Junyi Zhu. "The Panel on Household Finances (PHF) – Microdata on household wealth in Germany." German Economic Review 21, no. 3 (September 26, 2020): 373–400. http://dx.doi.org/10.1515/ger-2019-0122.

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AbstractThe Panel on Household Finances (PHF) has established itself as one of the leading sources of microdata on households’ wealth in Germany since its inception in 2010. Over the last ten years, more than 7,583 households have participated in the surveys in 2010–11, 2014 and 2017, many of them taking part more than once (3,734 households). This paper provides an overview of the contents, main methodological aspects and use of the PHF data. It also highlights differences to other surveys and addresses how the survey may develop in the future.

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Lipps, Oliver. "Interviewer Effects on Cooperation during Initial and Refusal Conversion Fieldwork Phases in Telephone Panel Surveys." Field Methods 31, no. 4 (September 11, 2019): 375–93. http://dx.doi.org/10.1177/1525822x19874285.

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Specific interviewer characteristics, interviewer continuity, or matching interviewer and household characteristics may increase cooperation, especially for difficult-to-convince households. In face-to-face surveys, unobserved heterogeneity often makes a proper analysis of interviewer effects impossible. Although surveys conducted in telephone centers usually assign households to interviewers at random, there is less research on interviewer effects on cooperation, probably because telephone surveys produce smaller effects. Using data from a large telephone panel survey, I find interviewer effects only for households that refused to participate in a previous wave. Interviewer continuity or matching interviewers and households on sociodemographic variables has weak effects for any type of household. Interviewer experience has positive effects for previously refusing households only. Telephone survey organizations therefore only need to worry about using specially trained interviewers for refusal conversion calls, while specific assignments of interviewers to households are not necessary.

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Aitken, C. K., and D. S. Ironmonger. "Household Expenditure Surveys." Australian Economic Review 28, no. 4 (October 1995): 86–88. http://dx.doi.org/10.1111/j.1467-8462.1995.tb00906.x.

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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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Murphy, Adrianna, Benjamin Palafox, Jephat Chifamba, Iolanthé M. Kruger, Brian J. Ncube, Tatenda L. Ncube, Sumathy Rangarajan, et al. "Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries." PLOS Global Public Health 3, no. 4 (April 4, 2023): e0001739. http://dx.doi.org/10.1371/journal.pgph.0001739.

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In most low- and middle-income countries (LMICs), household out-of-pocket (OOP) health spending constitutes a major source of healthcare financing. Household surveys are commonly used to monitor OOP health spending, but are prone to recall bias and unable to capture seasonal variation, and may underestimate expenditure–particularly among households with long-term chronic health conditions. Household expenditure diaries have been developed as an alternative to overcome the limitations of surveys, and pictorial diaries have been proposed where literacy levels may render traditional diary approaches inappropriate. This study compares estimates for general household and chronic healthcare expenditure in South Africa, Tanzania and Zimbabwe derived using survey and pictorial diary approaches. We selected a random sub-sample of 900 households across urban and rural communities participating in the Prospective Urban and Rural Epidemiology study. For a range of general and health-specific categories, OOP expenditure estimates use cross-sectional survey data collected via standardised questionnaire, and data from these same households collected via two-week pictorial diaries repeated four times over 2016–2019. In all countries, average monthly per capita expenditure on food, non-food/non-health items, health, and consequently, total household expenditure reported by pictorial diaries was consistently higher than that reported by surveys (each p<0.001). Differences were greatest for health expenditure. The share of total household expenditure allocated to health also differed by method, accounting for 2% in each country when using survey data, and from 8–20% when using diary data. Our findings suggest that the choice of data collection method may have significant implications for estimating OOP health spending and the burden it places on households. Despite several practical challenges to their implementation, pictorial diaries offer a method to assess potential bias in surveys or triangulate data from multiple sources. We offer some practical guidance when considering the use of pictorial diaries for estimating household expenditure.

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Dissertations / Theses on the topic "Household surveys"

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Von, Sanden Nicholas Darby. "Interviewer effects in household surveys estimation and design /." Access electronically, 2005. http://ro.uow.edu.au/theses/312.

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Coffey, Michael John. "A META-ANALYSIS OF HAITIAN RURAL HOUSEHOLD SURVEYS." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/203441.

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This dissertation makes use of data from three large and detailed rural household surveys conducted in Haiti to examine elements of economic behavior in poor rural households. We use the earliest survey to formulate a set of hypotheses and use statistical meta-analysis to test them against all three surveys. Results in the areas of household vulnerability, form, migration, and education contribute to theory-refinement in Economic Anthropology.

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Kerr, Emily W. Pham Van Hoang. "Micro-credit and household productivity evidence from Bangladesh /." Waco, Tex. : Baylor University, 2009. http://hdl.handle.net/2104/5359.

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Zhang, Fan. "Regional disparity in homeownership, investment choice, and intra-household bargaining : evidence from Chinese household surveys." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52103/.

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This thesis contains three studies that provide theoretical and empirical evidence on household decisions in housing and investment portfolios in China, using 2010-2014 data from the China Family Panel Studies (CFPS). The first study investigates regional disparities in homeownership and value of owner-occupied housing in Chinese cities by using panel data from 2010-2014 CFPS. The results show that demographic characteristics actively shape the housing outcomes of urban households in different regions. The results also reveal development trajectories of regional economies. The findings indicate that while urban households benefit from an emerging population and an enormous growth in the private sector in the Eastern and Central regions, in the Northeastern region households are hindered in homeownership by an ageing population and an economy dominated by oversized but inefficient state-owned enterprises (SoEs). The second study adopts a nested logit approach, applying three data sets from the 2010-2014 CFPS. This approach explores how household investment choice differs with personal and household characteristics (e.g., such as health, demographic features, and institutional factors) across the broad investment categories of financial assets, private businesses, and real estate. I also employ a sub-sample from the 2012 CFPS that is restricted to parental households to examine how parenthood alters household investment decisions by building a binomial logistic model. The empirical results show that migration and income have a positive effect on investment decisions in the nested logit models. The evidence from the subsample finds that there are significant differences in the impact of demographic composition between investment categories. Using the 2010-2014 CFPS panel data, the third study investigates how household investment holdings vary according to demographic composition and intra-household bargaining strength in urban China. In addition, to explore the allocation of household investment, a further examination is carried out in the fixed-effect model with the specification of the Working-Leser function and in a Tobit model with two limits. Empirical evidence supports the following hypotheses: (a) changes in demographic composition considerably alter household investment holdings; and (b) the existence of a higher proportion of female children is strongly associated with an increase in household investments in financial assets.

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Klick, Brendan. "Design and analysis of household studies of influenza." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B5016269X.

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Background: Influenza viruses cause substantial mortality and morbidity both worldwide and in Hong Kong. Furthermore, the possible emergence of future influenza pandemics remains a major threat to public health. Some studies have estimated that one third of all influenza transmission occurs in households. Household studies have been an important means of studying influenza transmissions and evaluating the efficacy of influenza control measures including vaccination, antiviral therapy and prophylaxis and non-pharmaceutical interventions. Household studies of influenza can be categorized as pertaining to one of two designs: household cohort and case-ascertained. In household cohort studies households are recruited before the start of an influenza season and then monitored during the influenza season for influenza infection. In case-ascertained studies a household is enrolled once influenza infection is identified in a household member. Objectives: This thesis comprises of two parts. The objective of the first part is to evaluate the resource efficiency of different designs for conducting household studies. The objective of the second part is to estimate community and household transmission parameters during the 2009 A(H1N1) pandemic in Hong Kong. Methods: Monte Carlo simulation parameterized with data from influenza studies in Hong Kong was used to compare the resource efficiency of competing study designs evaluating the efficacy of an influenza control intervention. Approaches to ascertaining infections in different types of studies, and their implications for resource efficiency were compared. With regard to the second part, extended Longini-Koopman models within a Bayesian framework were used on data from a Hong Kong household cohort study conducted from December 2008 to October 2009. Household and community transmission parameters were estimated by age-groups for two seasonal influenza strains circulating in the winter of 2008-09 and two seasonal and one pandemic strain circulating in the summer of 2009. Results: Simulations showed that RT-PCR outperformed both serology and self-report of symptoms as a resource efficient means of identifying influenza in household studies. Identification of influenza using self-report of symptomatology performed particularly poorly in terms of resource efficiency due to its low sensitivity and specificity when compared to laboratory methods. Case-ascertained studies appeared more resource efficient than cohort studies but the results were sensitive to the choice of parameter values particularly the serial interval of influenza. In statistical analyses of household data during the winter of 2008-09, it was found that transmissibility of seasonal influenza strains were similar to those previously reported in the literature. Analysis also showed for the summer 2009 the estimates of household transmissibility were similar for seasonal A(H3N2) and pandemic A(H1N1) especially after taking into account that some individuals were likely immune to infection. Conclusions: Careful consideration of study design can ensure that studies are resource efficient and have sufficient statistical power. Data from a household study suggested that during 2009 seasonal and pandemic influenza had similar transmission patterns.
published_or_final_version
Community Medicine
Doctoral
Doctor of Philosophy

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Rutkowski, Joshua Edward. "Understanding political ecologies of land use change using household surveys in Mankweng, South Africa." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4771.

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Thesis (M.A.)--West Virginia University, 2006.
Title from document title page. Document formatted into pages; contains vi, 35 p. : ill. (some col.), map. Includes abstract. Includes bibliographical references (p. 31-33).

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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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Wong, Kin-yoke. "Income distribution on the district level and individual self-reported health in Hong Kong : a multi-level analysis /." Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25100956.

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Lyons, Angela Christine. "Household liquidity and financial innovations : evidence from the Survey of consumer finances /." Digital version, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?3008384.

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Crommentuijn, Léon Emanuel Maria. "Regional household differentials structures and processes = Regionale huishoudensverschillen : structuren en processen /." Amsterdam : Thesis Publishers, 1997. http://catalog.hathitrust.org/api/volumes/oclc/37633887.html.

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Books on the topic "Household surveys"

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Zambia. Ministry of Community Development and Social Services and Public Welfare Assistance Scheme (Zambia), eds. National household survey. Lusaka]: [Ministry of Community Development and Social Services, Public Welfare Assistance Scheme], 2003.

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Räder, Christa. Private Haushalte: Definitionen, Theorien, Entwicklung eines Analysekonzeptes. Aachen: Alano, Edition Herodot, 1993.

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Todd, Jean Elizabeth. Changing the definition of a household: A study based on the 1981 Labour force survey in England to estimate the effect on housing data of a change in the definition of a household. London: H.M.S.O., 1986.

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statistik, Danmarks, Netherlands. Centraal Bureau voor de Statistiek., and Statistical Office of the European Communities., eds. European Community Household Panel (ECHP): Research. Luxembourg: Office for Official Publications of the European Communities, 1996.

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Iacovou, Maria. Young people in Europe: Two models of household formation. Colchester: Institute for Social and Economic Research, 1999.

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Iacovou, Maria. Young people in Europe: Two models of household formation. Colchester: ESRC Research Centre on Micro-Social Change, 1998.

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(Nigeria), Lagos State, ed. Household survey. Lagos, Nigeria: Central Office of Statistics, Ministry of Economic Planning and Budget, the Secretariat, 2006.

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National Health and Nutrition Examination Survey (U.S.), ed. Household screener questionnaire: NHANES III. Hyattsville, Md.?]: Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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Michele, Zimowski, Travel Model Improvement Program (U.S.), and Technology Sharing Program (U.S.), eds. Nonresponse in household travel surveys. [Washington, D.C.]: U.S. Dept. of Transportation, 1997.

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des finances et du budget. Secrétariat général Madagascar. Ministère de l'économie. Enquête périodique auprès des ménages 2005: Rapport principal. Antananarivo]: Repoblikan'i Madagasikara, Ministère de l'économie, des finances et du budget, Secrétariat général, 2006.

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Book chapters on the topic "Household surveys"

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Thomas, Duncan. "Household Surveys." In The New Palgrave Dictionary of Economics, 5961–67. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2696.

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Thomas, Duncan. "Household Surveys." In The New Palgrave Dictionary of Economics, 1–7. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2696-1.

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Birch, Elisa Rose, Anh T. Le, and Paul W. Miller. "Time Use Surveys." In Household Divisions of Labour, 3–14. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230245716_2.

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Wu, Changbao, and Mary E. Thompson. "Area Frame Household Surveys." In ICSA Book Series in Statistics, 259–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44246-0_12.

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Unayama, Takashi. "System of Japanese Household Surveys." In Introduction to Japanese Household Surveys, 1–32. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7680-0_1.

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Unayama, Takashi. "How Reliable Are Japanese Household Surveys?" In Introduction to Japanese Household Surveys, 33–64. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7680-0_2.

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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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Bogl, Leonie-Helen, Jaakko Kaprio, Claudia Brünings-Kuppe, Lauren Lissner, and Wolfgang Ahrens. "Interview on Kinship and Household." In Instruments for Health Surveys in Children and Adolescents, 291–301. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98857-3_14.

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Zhao, Yutong, and Dan Wang. "International Comparison of Residential Energy Consumption Surveys." In Household Energy Consumption in China: 2016 Report, 159–78. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_5.

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Macfarlane, Sarah B. "National Household Surveys: Collecting Data Where People Live." In The Palgrave Handbook of Global Health Data Methods for Policy and Practice, 145–64. London: Palgrave Macmillan UK, 2019. http://dx.doi.org/10.1057/978-1-137-54984-6_8.

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Conference papers on the topic "Household surveys"

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Hattas, Mahier, and Mariki Eloff. "Secure Digital Data Collection in household surveys." In AFRICON 2011. IEEE, 2011. http://dx.doi.org/10.1109/afrcon.2011.6072142.

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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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Covington, Hannah, Brian Woo-Shem, Chenli Wang, Thomas Roth, Cuong Nguyen, and Hohyun Lee. "Stochastic Method for Generating Residential Household Energy Models of Varying Income Level and Climate Zone for Testing Energy Fairness." In ASME 2023 17th International Conference on Energy Sustainability collocated with the ASME 2023 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/es2023-107421.

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Abstract Interest in residential energy management necessitates fairness testing of energy technology and policy developments. Considering income level is particularly important because increased utility bills put low-income households at higher risk of economic and health issues. This paper proposes a novel method for generating diverse household energy models of varying income level and climate zone, which can be used to test the fairness of residential energy developments. Models are stochastically generated using probability distributions based on data from national surveys. Included in the model are constant and time-variable features. Models capture the randomness inherent in the residential sector while still following realistic patterns in building structure, appliance stock, and occupant behavior. Validation of the model generation technique was done by comparing the energy consumption of simulated households to their counterparts in survey data. Models were validated with correlation analysis and t-tests, with the null hypothesis being that the slope found in correlation analysis was equal to 1. The null hypothesis could not be rejected (P > 0.05), and the data for all validation tests was very highly correlated (0.81 < r2 < 1.00).

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Şengül, Seda, and Çiler Sigeze. "The Consumption Expenditure of Households in Turkey: Demand System Estimation with Pseudo Panel Data." In International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00709.

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In this study, micro data sets obtained by 2005 and 2009 Household Budget Surveys compiled by Turkish Statistical Institute were used to estimate the parameters of household consumption demand and calculate the income-demand elasticities of consumer goods. Total expenditures of the households in this data set delivered into the following 12 different categories of goods and services. The expenditure share of these different categories of goods and services is the dependent variable of this model. In addition, the total household expenditure, the squared total household expenditure, the household size adjusted in accordance with the OECD equivalence scale and the logarithms of squared household size are the independent variables used in the study. The Seemingly Unrelated Regression Equations (SURE) is used to estimate the Quadratic Almost Ideal Demand System (QAIDS) so as to determine the demand parameters of the main commodity groups. The principal result of the study is that the consumption elasticities of the food and nonalcoholic beverages, housing, water, electricity, fuel, clothing and footwear, furniture and house appliances, communications, alcoholic beverages, cigarette and tobacco expenditure are less than 1. Therefore, it can be said that these commodity groups are considered to be mandatory goods. On the other hand, the consumption elasticities of the health, transportation, education services, entertainment and culture, restaurants, hotels, patisseries are more than 1. Thus, these commodity groups are considered to be luxury goods. In this regard, the study concludes that Turkey is considered to be a developing country in terms of the consumption characteristics.

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Elawad, Elmogiera, and Mohammed Bala Agied. "Reasons for Participation in Household Surveys in the Arab Gulf Countries, Qatar." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2016. http://dx.doi.org/10.5339/qfarc.2016.sshapp1355.

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Timofeev, Vladimir S., Vladislav Yu Shchekoldin, and Anastasiia Yu Timofeeva. "Identification Methods for Linear Regression Based on Data of Household Budget Surveys." In 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2018. http://dx.doi.org/10.1109/apeie.2018.8545726.

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"Evaluating watershed development impacts on physical capital using household surveys and Bayesian networks." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l16.patch.

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Tang, Lisa, Arnav Patel, Daniel J. Sweeney, Nilanjana Banerjee, Amit K. Thakur, Pranava Chaudhari, Rahul Kumar, and Jyeshtharaj Joshi. "Understanding Household Energy Challenges in Himalayan Communities Using Participatory Design Approaches." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67972.

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Abstract Traditional biomass-burning stoves are used for cooking and heating across the globe. These stoves generate smoke that results in household air pollution, which poses a significant risk to human health. In the past decades, there have been many efforts to promote the adoption of improved cookstove designs, but uptake of improved stoves is often slow due to high costs, inconsistent supply chains, and incompatibility with local cooking practices. This paper presents survey results from rural villages in Uttarakhand, India regarding routines and attitudes on cooking and space heating. Significant findings include the dual use of liquified petroleum gas and biomass fuels, the interconnected and seasonal nature of cooking and space heating, the cultural significance of traditional cookstoves, and the prominence of locally available materials in cookstove construction and maintenance. Comparisons of these surveys’ findings to previous investigations on energy use in the Himalayan region show many common trends, but also reveal regional differences. The paper concludes that due to the significance of culture and context in cookstove design, understanding user needs and behaviors and working with local communities are integral parts the design methodology for clean cookstoves. These results provide a case study which agrees with existing literature on the importance of participatory design in global development.

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Gourlay, Sydney. "Sensors for Soil Health: The Evolution of Soil Technologies and Integration with Household Surveys." In 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2019. http://dx.doi.org/10.1109/metroagrifor.2019.8909280.

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Jin, Xia, Hamidreza Asgari, and Md Sakoat Hossan. "Understanding Trip Misreporting in Household Travel Surveys by Comparing GPS-Assisted and Diary-Based Samples." In 14th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413623.326.

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Reports on the topic "Household surveys"

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Meyer, Bruce, Wallace K. C. Mok, and James Sullivan. Household Surveys in Crisis. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21399.

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Rost, Lucia. Measuring unpaid care work in household surveys. Oxfam, June 2018. http://dx.doi.org/10.21201/2018.2456.

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Chadwick, Meltem, Rennae Cherry, and Jaqueson K. Galimberti. Nonresponse Bias in Household Inflation Expectations Surveys. Asian Development Bank, December 2023. http://dx.doi.org/10.22617/wps230552-2.

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This work shows that some demographic groups end up underrepresented in household inflation expectations surveys due to item nonresponse. Nonresponses can lead to misleading inferences about inflation bias, and this paper shows how to correct for such nonresponse bias in average inflation expectations. These findings have important implications for how central banks use household inflation expectations measures, and how policymakers communicate with the population. One main implication is that policy outreach can be improved with more targeted communications.

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Gandelman, Néstor, and Santiago Acerenza. Household Education Spending in Latin America and the Caribbean: Evidence from Income and Expenditure Surveys. Inter-American Development Bank, March 2017. http://dx.doi.org/10.18235/0011785.

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This paper characterizes household spending in education using microdata from income and expenditure surveys for 12 Latin American and Caribbean countries and the United States. Bahamas, Chile and Mexico have the highest household spending in education while Bolivia, Brazil and Paraguay have the lowest. Tertiary education is the most important form of spending, and most educational spending is performed for individuals 18-23 years old. More educated and richer household heads spend more in the education of household members. Households with both parents present and those with a female main income provider spend more than their counterparts. Urban households also spend more than rural households. On average, education in Latin America and the Caribbean is a luxury good, while it may be a necessity in the United States. No gender bias is found in primary education, but households invest more in females of secondary age and up than same-age males.

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Hamid, Shahirah, ed. Why women are often overlooked in household surveys. Monash University, March 2022. http://dx.doi.org/10.54377/130c-7fa4.

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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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Lloyd, Cynthia B., and Catherine M. Marquette. Directory of Surveys in Developing Countries: Data on Families and Households, 1975–92. Population Council, 1992. http://dx.doi.org/10.31899/pgy1992.1000.

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This directory of surveys contains data on families and households in developing countries. The emphasis is on intergenerational linkages as well as conjugal ties and co-residential arrangements. Surveys that do not situate individuals within a family or household context are excluded. Thus, many labor force surveys with data on the employment status and earnings of men and women are not included unless they also collected data on respondents’ children and/or households. The same is true of contraceptive prevalence surveys that limit their attention to women’s reproductive behavior. The majority of surveys included in the directory are either household-based or woman-based. Most of the information for this directory was collected through two mailings to a total of 1,250 individuals or institutions in developing and developed countries. Requests for information were also mailed directly to various institutions involved in data collection and storage. Recipients were informed about the project’s goals and asked to complete a questionnaire on each survey for which they were responsible or of which they had specific knowledge.

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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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Kristen Miller, Stephanie Willson, Paul Scanlon, Brent Vickers, Meredith Massey, and Lauren Creamer. 2019 EVALUATION OF OPIOID-RELATED QUESTIONS FOR FEDERAL HOUSEHOLD SURVEYS. Hyattsville, MD: National Center for Health Statistics (U.S.), March 2022. http://dx.doi.org/10.15620/cdc/150776.

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