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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: 25 July 2025

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Journal articles on the topic "Household surveys"

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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 (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 (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 effectivene

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Vopravil, Jiří, and Barbora Linhartová Jiřičková. "Household Surveys Integration: Household Budget Survey methodology in Czechia." Statistika: Statistics and Economy Journal 104, no. 3 (2024): 364–70. http://dx.doi.org/10.54694/stat.2024.6.

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The article aims at mapping the history of the Czech version of the Household Budget Survey (HBS), i.e. Statistika rodinných účtů (SRÚ), and on the historical changes in its methodology. Statistika rodinných účtů is a survey focused mainly on private household expenditure in all the regions of the Czech Republic. The first official SRÚ survey was conducted in 1920 by the Statistical office of the former Czechoslovak Republic. This article offers a brief overview of the more than 100 years of the survey, which have been shaped significantly throughout the different eras it had underwent, both b

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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 (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

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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 (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, nu

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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 s

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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 (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 effe

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Altmann, Kristina, René Bernard, Julia Le Blanc, et al. "The Panel on Household Finances (PHF) – Microdata on household wealth in Germany." German Economic Review 21, no. 3 (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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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 (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 househol

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Murphy, Adrianna, Benjamin Palafox, Jephat Chifamba, 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 (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 approac

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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 indicat

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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 per

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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.<br>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

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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. [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. 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. 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. Office for Official Publications of the European Communities, 1996.

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

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

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(Nigeria), Lagos State, ed. Household survey. 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. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, 1988.

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9

Michele, Zimowski, Travel Model Improvement Program (U.S.), and Technology Sharing Program (U.S.), eds. Nonresponse in household travel surveys. 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. 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. 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. 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. 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. 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. 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. 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. 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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Dale, Angela, Sara Arber, and Michael Procter. "Conceptualizing variables in household-based surveys." In Doing Secondary Analysis. Routledge, 2025. https://doi.org/10.4324/9781003632467-9.

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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. 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. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7523-1_5.

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Conference papers on the topic "Household surveys"

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Dou, Kai, Zekai Fan, Yuhan Zhang, Wenhan Wu, Feng Ye, and Jun Chen. "Exploring the Use of Large AI Models for Floor Live Load Surveys: A Preliminary Study." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2435.

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<p>Reliable live load values are essential for the reliability design of civil structures. Due to the inherent randomness of live loads, collecting a large amount of sample data is crucial for accurate load modeling. Traditional survey methods typically rely on sampling to investigate floor live loads, which poses several challenges, such as low efficiency, high costs, and privacy concerns. Additionally, weighing large indoor items on-site, such as heavy furniture or household appliances, presents significant difficulties, further limiting the accuracy of load surveys.</p><p>

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Huang, Juncheng, Lei Gong, Tian Lei, Zheng Zhang, and Jia Wang. "Border effect in metropolitan area with household travel survey data." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054831.

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Mišljenović, Nemanja, Matej Žnidarec, Goran Knežević, and Danijel Topić. "Electric Vehicles as Flexible Assets for Households and System Operators: Survey Results." In 2024 International Conference on Smart Systems and Technologies (SST). IEEE, 2024. http://dx.doi.org/10.1109/sst61991.2024.10755290.

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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

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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 th

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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 househo

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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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Reports on the topic "Household surveys"

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

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Rost, Lucia. Measuring unpaid care work in household surveys. Oxfam, 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, 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, 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 inc

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Hamid, Shahirah, ed. Why women are often overlooked in household surveys. Monash University, 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, 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 majori

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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, 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, 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. National Center for Health Statistics (U.S.), 2022. http://dx.doi.org/10.15620/cdc/150776.

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