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David C Folch

Datos Biográficos

ID1341337
NOMBREDavid C Folch
NOMBRESDavid C
APELLIDOFolch
FIRMAFOLCH D C
AFILIACIONESNorthern Arizona University
ORCID0000-0002-8167-1118
VERIFICADOSí
TOTAL DE OBRAS11
TOTAL DE CITAS28
OBRAS COMO AUTOR11
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2014
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H3
  • Quantifying the Impact of Sampling Error in Composite Index Construction

    Open Access•Daniel Feldmeyer, David C Folch et al.•ARTICLE•Social Indicators Research•2026•Referencias: 3

    Composite indicators are widely used to assess multifaceted phenomena; however, they rarely account for the uncertainty inherent in input data. This study quantifies the uncertainty of composite index scores by propagating sampling error from input data, providing a foundation for more effective decision-making by reducing maladaptation when data quality is ignored. We analyze how the margin of error (MOE) propagates across different methodologic…

  • Airborne Lead Exposure and Childhood Cognition

    Lisa M Gatzke‐kopp, Michael T Willoughby et al.•ARTICLE•American Journal of Public Health•2024•Citada por: 1•Referencias: 15

    Objectives. To examine whether a previously reported association between airborne lead exposure and children’s cognitive function replicates across a geographically diverse sample of the United States. Methods. Residential addresses of children ( Results. An IQR increase in airborne lead was associated with a 0.74-point lower mean IQ score (b = −0.74; 95% confidence interval = −1.00, −0.48). The association between lead and EF was nonlinear and w…

  • Patterns of Multidimensional Poverty in the United States

    David C Folch, Matthew Laird•ARTICLE•Annals of the American…•2024•Referencias: 42

    The accurate accounting of where and for whom deprivations occur is fundamental to addressing poverty. In the United States, the official poverty measure considers only a person’s income, although poverty is increasingly understood internationally as a set of multiple, interlinked deprivations. This article introduces a decomposable multidimensional poverty (MDP) measure that addresses these shortcomings by using thirteen American Community Surve…

  • The Impact of Covariance on American Community Survey Margins of Error

    Open Access•David C Folch, Seth E Spielman et al.•ARTICLE•Population Research and Policy…•2023•Citada por: 1•Referencias: 9

  • Proximity to sources of airborne lead is associated with reductions in Children's executive function in the first four years of life

    Open Access•Lisa M Gatzke‐kopp, Siri Warkentien et al.•ARTICLE•Health & Place•2021•Citada por: 3

  • Evaluating social vulnerability indicators

    Open Access•Seth E Spielman, Joseph V Tuccillo et al.•ARTICLE•Natural Hazards•2020

  • A A comparative study of urban occupational structures

    Open Access•Clauber Scherer, Clauber Eduardo Marchezan Scherer et al.•ARTICLE•Revista Brasileira de Estudos de…•2019

    This paper compares the occupational structure of cities in Brazil and United States aiming to evaluate the extent to which the economic structure of these urban agglomerations is associated with the different stages of development, specifically when comparing a rich country with a developing one. Using a harmonized occupational database and microdata from the Brazilian 2010 Demographic Census and the U.S. American Community Survey (2008-2012), r…

  • The centralization index

    Open Access•David C Folch, Sergio Rey•ARTICLE•Papers of the Regional Science…•2016•Citada por: 4•Referencias: 25

  • Spatial Variation in the Quality of American Community Survey Estimates

    Open Access•David C Folch, Daniel Arribas-Bel et al.•ARTICLE•Demography•2016•Citada por: 18•Referencias: 18

    Social science research, public and private sector decisions, and allocations of federal resources often rely on data from the American Community Survey (ACS). However, this critical data source has high uncertainty in some of its most frequently used estimates. Using 2006–2010 ACS median household income estimates at the census tract scale as a test case, we explore spatial and nonspatial patterns in ACS estimate quality. We find that spatial pa…

  • SpMorph

    Open Access•Juan C Duque, Xinyue Ye et al.•ARTICLE•Papers of the Regional Science…•2015•Citada por: 1•Referencias: 2

  • Patterns and causes of uncertainty in the American Community Survey

    Open Access•Seth E Spielman, David Folch et al.•ARTICLE•Applied Geography•2014

  • Spatial Variation in the Quality of American Community Survey Estimates

    Open Access•David C Folch, Daniel Arribas-Bel et al.•ARTICLE•Demography•2016•Citada por: 18•Referencias: 18

    Social science research, public and private sector decisions, and allocations of federal resources often rely on data from the American Community Survey (ACS). However, this critical data source has high uncertainty in some of its most frequently used estimates. Using 2006–2010 ACS median household income estimates at the census tract scale as a test case, we explore spatial and nonspatial patterns in ACS estimate quality. We find that spatial pa…

  • The centralization index

    Open Access•David C Folch, Sergio Rey•ARTICLE•Papers of the Regional Science…•2016•Citada por: 4•Referencias: 25

  • Proximity to sources of airborne lead is associated with reductions in Children's executive function in the first four years of life

    Open Access•Lisa M Gatzke‐kopp, Siri Warkentien et al.•ARTICLE•Health & Place•2021•Citada por: 3

  • Airborne Lead Exposure and Childhood Cognition

    Lisa M Gatzke‐kopp, Michael T Willoughby et al.•ARTICLE•American Journal of Public Health•2024•Citada por: 1•Referencias: 15

    Objectives. To examine whether a previously reported association between airborne lead exposure and children’s cognitive function replicates across a geographically diverse sample of the United States. Methods. Residential addresses of children ( Results. An IQR increase in airborne lead was associated with a 0.74-point lower mean IQ score (b = −0.74; 95% confidence interval = −1.00, −0.48). The association between lead and EF was nonlinear and w…

  • The Impact of Covariance on American Community Survey Margins of Error

    Open Access•David C Folch, Seth E Spielman et al.•ARTICLE•Population Research and Policy…•2023•Citada por: 1•Referencias: 9

  • SpMorph

    Open Access•Juan C Duque, Xinyue Ye et al.•ARTICLE•Papers of the Regional Science…•2015•Citada por: 1•Referencias: 2

  • Patterns and causes of uncertainty in the American Community Survey

    Open Access•Seth E Spielman, David Folch et al.•ARTICLE•Applied Geography•2014

  • SpMorph

    Open Access•Juan C Duque, Xinyue Ye et al.•ARTICLE•Papers of the Regional Science…•2015•Citada por: 1•Referencias: 2

  • The centralization index

    Open Access•David C Folch, Sergio Rey•ARTICLE•Papers of the Regional Science…•2016•Citada por: 4•Referencias: 25

  • Spatial Variation in the Quality of American Community Survey Estimates

    Open Access•David C Folch, Daniel Arribas-Bel et al.•ARTICLE•Demography•2016•Citada por: 18•Referencias: 18

    Social science research, public and private sector decisions, and allocations of federal resources often rely on data from the American Community Survey (ACS). However, this critical data source has high uncertainty in some of its most frequently used estimates. Using 2006–2010 ACS median household income estimates at the census tract scale as a test case, we explore spatial and nonspatial patterns in ACS estimate quality. We find that spatial pa…

  • A A comparative study of urban occupational structures

    Open Access•Clauber Scherer, Clauber Eduardo Marchezan Scherer et al.•ARTICLE•Revista Brasileira de Estudos de…•2019

    This paper compares the occupational structure of cities in Brazil and United States aiming to evaluate the extent to which the economic structure of these urban agglomerations is associated with the different stages of development, specifically when comparing a rich country with a developing one. Using a harmonized occupational database and microdata from the Brazilian 2010 Demographic Census and the U.S. American Community Survey (2008-2012), r…

  • Evaluating social vulnerability indicators

    Open Access•Seth E Spielman, Joseph V Tuccillo et al.•ARTICLE•Natural Hazards•2020

  • Proximity to sources of airborne lead is associated with reductions in Children's executive function in the first four years of life

    Open Access•Lisa M Gatzke‐kopp, Siri Warkentien et al.•ARTICLE•Health & Place•2021•Citada por: 3

  • The Impact of Covariance on American Community Survey Margins of Error

    Open Access•David C Folch, Seth E Spielman et al.•ARTICLE•Population Research and Policy…•2023•Citada por: 1•Referencias: 9

  • Airborne Lead Exposure and Childhood Cognition

    Lisa M Gatzke‐kopp, Michael T Willoughby et al.•ARTICLE•American Journal of Public Health•2024•Citada por: 1•Referencias: 15

    Objectives. To examine whether a previously reported association between airborne lead exposure and children’s cognitive function replicates across a geographically diverse sample of the United States. Methods. Residential addresses of children ( Results. An IQR increase in airborne lead was associated with a 0.74-point lower mean IQ score (b = −0.74; 95% confidence interval = −1.00, −0.48). The association between lead and EF was nonlinear and w…

  • Patterns of Multidimensional Poverty in the United States

    David C Folch, Matthew Laird•ARTICLE•Annals of the American…•2024•Referencias: 42

    The accurate accounting of where and for whom deprivations occur is fundamental to addressing poverty. In the United States, the official poverty measure considers only a person’s income, although poverty is increasingly understood internationally as a set of multiple, interlinked deprivations. This article introduces a decomposable multidimensional poverty (MDP) measure that addresses these shortcomings by using thirteen American Community Surve…

  • Quantifying the Impact of Sampling Error in Composite Index Construction

    Open Access•Daniel Feldmeyer, David C Folch et al.•ARTICLE•Social Indicators Research•2026•Referencias: 3

    Composite indicators are widely used to assess multifaceted phenomena; however, they rarely account for the uncertainty inherent in input data. This study quantifies the uncertainty of composite index scores by propagating sampling error from input data, providing a foundation for more effective decision-making by reducing maladaptation when data quality is ignored. We analyze how the margin of error (MOE) propagates across different methodologic…

Demography (6 obras) · Economics (6 obras) · Geography (6 obras) · Sociology (6 obras) · Urban, Neighborhood, and Segregation Studies (6 obras) · Census (5 obras) · Computer Science (5 obras) · Population (5 obras) · Demography (4 obras) · Econometrics (4 obras)

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