Christopher L. Foote, Tyler Hounshell, W. Nordhaus, D. Rivers, Pamela Torola
This study presents the results of a rapid, low-cost survey that collected labor market data for individuals in the United States during the COVID-19 pandemic. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey, the government’s main source of household labor market statistics. The YLS’s advantages include its timeliness, its low cost, and its ability to develop new questions quickly to study labor market patterns during the pandemic. The results of the YLS show that online surveys can be used to gather economic and demographic data with reasonable accuracy and at low cost. Such surveys can therefore be useful complements to less-frequent government surveys, particularly when the labor market is stressed and real-time data are especially valuable.
{"title":"Measuring the US employment situation using online panels: The Yale Labor Survey","authors":"Christopher L. Foote, Tyler Hounshell, W. Nordhaus, D. Rivers, Pamela Torola","doi":"10.3233/jem-230486","DOIUrl":"https://doi.org/10.3233/jem-230486","url":null,"abstract":"This study presents the results of a rapid, low-cost survey that collected labor market data for individuals in the United States during the COVID-19 pandemic. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey, the government’s main source of household labor market statistics. The YLS’s advantages include its timeliness, its low cost, and its ability to develop new questions quickly to study labor market patterns during the pandemic. The results of the YLS show that online surveys can be used to gather economic and demographic data with reasonable accuracy and at low cost. Such surveys can therefore be useful complements to less-frequent government surveys, particularly when the labor market is stressed and real-time data are especially valuable.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44853839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper compares conditional and unconditional cost-of-living indexes (COLI) when tastes change, focusing on the Constant Elasticity of Substitution model. A consumer price index typically targets a conditional COLI, which evaluates price change given set of preferences. An unconditional COLI aims to also capture the welfare effects of changing tastes, but it requires stronger assumptions. Using retail scanner data for food and beverage products, I find COLIs conditioning on current period tastes exceed those conditioning on prior period tastes. Consistent with previous studies, I find an unconditional COLI tends to reflect negative direct contributions from taste change.
{"title":"Revisiting taste change in cost-of-living measurement","authors":"Robert S. Martin","doi":"10.3233/jem-220485","DOIUrl":"https://doi.org/10.3233/jem-220485","url":null,"abstract":"This paper compares conditional and unconditional cost-of-living indexes (COLI) when tastes change, focusing on the Constant Elasticity of Substitution model. A consumer price index typically targets a conditional COLI, which evaluates price change given set of preferences. An unconditional COLI aims to also capture the welfare effects of changing tastes, but it requires stronger assumptions. Using retail scanner data for food and beverage products, I find COLIs conditioning on current period tastes exceed those conditioning on prior period tastes. Consistent with previous studies, I find an unconditional COLI tends to reflect negative direct contributions from taste change.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46814359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a few weighting class variables correlated with PSAQ response propensity and survey variables. Third, surprisingly, base-weighted estimates of preventive service utilization changed little despite multiple post-survey adjustments, suggesting no substantial nonresponse bias. Additionally, the study finds moderate to near-perfect concordance in responses to selected preventive service questions across interview modes.
{"title":"Assessing the potential for nonresponse bias and measurement concordance in the clinical preventive services self-administered questionnaire survey1","authors":"P. Muhuri","doi":"10.3233/jem-220483","DOIUrl":"https://doi.org/10.3233/jem-220483","url":null,"abstract":"Health survey statistics are essential for setting national targets, monitoring population-level trends, and tracking progress in adults’ utilization of preventive health services. However, survey estimates can be subject to nonresponse bias. This paper primarily assesses the potential for nonresponse bias in six utilization estimates from the Clinical Preventive Services Self-Administered Questionnaire (PSAQ) survey. The article highlights several findings. First, the eligible PSAQ sample person’s selective nonresponse associated with influenza vaccinations and blood pressure check-ups reported in the Medical Expenditure Panel Survey provides indirect evidence of overestimating the utilization of those services in the PSAQ survey. Second, the study found a few weighting class variables correlated with PSAQ response propensity and survey variables. Third, surprisingly, base-weighted estimates of preventive service utilization changed little despite multiple post-survey adjustments, suggesting no substantial nonresponse bias. Additionally, the study finds moderate to near-perfect concordance in responses to selected preventive service questions across interview modes.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41799175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In official statistics, excess winter mortality, the number of additional deaths in a winter period, is typically defined as the difference between mortality in a winter period relative to the nonwinter periods before and after. We note two limitations of this approach: (1) the data for the period after winter is available only later, so estimates of excess winter mortality are not timely; (2) unusually high or low numbers of deaths in the non-winter periods can affect estimates. We propose an alternative statistic based on the application of standard seasonal adjustment procedures. We compare the approaches and present some illustrative analyses. The new statistic provides a more objective and timely official series, but is susceptible to revisions, which are shown to be small in practice. We recommend it as the basis of more detailed monitoring and modelling.
{"title":"An improved definition of official excess winter mortality statistics as the basis for detailed analysis and monitoring","authors":"Paul Smith, Atanaska Nikolova, D. Elliott","doi":"10.3233/jem-210482","DOIUrl":"https://doi.org/10.3233/jem-210482","url":null,"abstract":"In official statistics, excess winter mortality, the number of additional deaths in a winter period, is typically defined as the difference between mortality in a winter period relative to the nonwinter periods before and after. We note two limitations of this approach: (1) the data for the period after winter is available only later, so estimates of excess winter mortality are not timely; (2) unusually high or low numbers of deaths in the non-winter periods can affect estimates. We propose an alternative statistic based on the application of standard seasonal adjustment procedures. We compare the approaches and present some illustrative analyses. The new statistic provides a more objective and timely official series, but is susceptible to revisions, which are shown to be small in practice. We recommend it as the basis of more detailed monitoring and modelling.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49062511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01Epub Date: 2022-05-11DOI: 10.3233/jem-210480
Sarah Flood, Renae Rodgers, José Pacas, Devon Kristiansen, Ben Klaas
The Current Population Survey (CPS) has been the nation's primary source of information about employment and unemployment for decades. The data are widely used by social scientists and policy makers to study labor force participation, poverty, and other high-priority topics. An underutilized feature of the CPS is its short-run panel component. This paper discusses the unique challenges encountered when linking basic monthly data as well as when linking the March basic monthly data to the Annual Social and Economic (ASEC) Supplement in the 1976-1988 period. We describe strategies to address linking obstacles and document linkage rates.
{"title":"Extending Current Population Survey Linkages: Obstacles and Solutions for Linking Monthly Data from 1976 to 1988.","authors":"Sarah Flood, Renae Rodgers, José Pacas, Devon Kristiansen, Ben Klaas","doi":"10.3233/jem-210480","DOIUrl":"10.3233/jem-210480","url":null,"abstract":"<p><p>The Current Population Survey (CPS) has been the nation's primary source of information about employment and unemployment for decades. The data are widely used by social scientists and policy makers to study labor force participation, poverty, and other high-priority topics. An underutilized feature of the CPS is its short-run panel component. This paper discusses the unique challenges encountered when linking basic monthly data as well as when linking the March basic monthly data to the Annual Social and Economic (ASEC) Supplement in the 1976-1988 period. We describe strategies to address linking obstacles and document linkage rates.</p>","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"46 1","pages":"1-28"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158754/pdf/nihms-1678821.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9453547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Zimmer, Allison H. Snyder, Amanda J. Miller, Timothy F. Slaper
The study examines wage differentials of individuals experiencing unemployment episodes using a multivariate analysis of wage and unemployment records. The focus is the wage effect of small distance geographic mobility (micro-mobility) during job seeking. The results identify limitations on geographic micro-mobility as a source of wage disparity in the re-employment market. The study isolates persistent gender differences in geographic mobility rates and hypothesizes this as a potential source of gender-wage disparity in both the re-employment and greater labor market. The data and methods are unique. The dataset is Indiana administrative wage records over a ten-year period for individuals that experience unemployment episodes. The study assesses unemployment as an exogenous shock on wages to determine underlying influences in the labor market. The novel approach is unconstrained by limitations associated with aggregated or proxy data.
{"title":"The influence of geographic mobility and gender on Indiana wages","authors":"T. Zimmer, Allison H. Snyder, Amanda J. Miller, Timothy F. Slaper","doi":"10.3233/jem-210481","DOIUrl":"https://doi.org/10.3233/jem-210481","url":null,"abstract":"The study examines wage differentials of individuals experiencing unemployment episodes using a multivariate analysis of wage and unemployment records. The focus is the wage effect of small distance geographic mobility (micro-mobility) during job seeking. The results identify limitations on geographic micro-mobility as a source of wage disparity in the re-employment market. The study isolates persistent gender differences in geographic mobility rates and hypothesizes this as a potential source of gender-wage disparity in both the re-employment and greater labor market. The data and methods are unique. The dataset is Indiana administrative wage records over a ten-year period for individuals that experience unemployment episodes. The study assesses unemployment as an exogenous shock on wages to determine underlying influences in the labor market. The novel approach is unconstrained by limitations associated with aggregated or proxy data.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41969000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We document changes in wealth inequality across American households with a member aged 55 or older, comparing data in the Health and Retirement Study (HRS) with that in the Survey of Consumer Finances (SCF) between 1998 and 2016. We examine net wealth including housing, financial and nonfinancial assets and debt, without the cash value of insurances, DB pensions or Social Security wealth. We find very similar distributions of net wealth in the two surveys between the 25th and 90th percentiles, but substantially higher wealth in the SCF at the top of the distribution. Both surveys show an increase in wealth inequality between 1998 and 2016, first mostly due to increased wealth at the top, and, after 2012, due to an increase in the share of households with very little wealth as well. Both surveys agree that wealth inequality by education and race, already substantial in 1998, increased further by 2016.
{"title":"Recent trends in wealth inequality among older Americans in two surveys.","authors":"G. Kézdi, Margaret J. Lay, D. Weir","doi":"10.3233/jem-210477","DOIUrl":"https://doi.org/10.3233/jem-210477","url":null,"abstract":"We document changes in wealth inequality across American households with a member aged 55 or older, comparing data in the Health and Retirement Study (HRS) with that in the Survey of Consumer Finances (SCF) between 1998 and 2016. We examine net wealth including housing, financial and nonfinancial assets and debt, without the cash value of insurances, DB pensions or Social Security wealth. We find very similar distributions of net wealth in the two surveys between the 25th and 90th percentiles, but substantially higher wealth in the SCF at the top of the distribution. Both surveys show an increase in wealth inequality between 1998 and 2016, first mostly due to increased wealth at the top, and, after 2012, due to an increase in the share of households with very little wealth as well. Both surveys agree that wealth inequality by education and race, already substantial in 1998, increased further by 2016.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"45 3-4 1","pages":"215-236"},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45993474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We explore the dimensionality of the U.S. Department of Agriculture’s household food security survey module among households with children. Using a novel methodological approach to measuring food security, we find that there is multidimensionality in the module for households with children that is associated with the overall household, adult, and child dimensions of food security. Additional analyses suggest official estimates of food security among households with children are robust to this multidimensionality. However, we also find that accounting for the multidimensionality of food security among these households provides new insights into the correlates of food security at the household, adult, and child levels of measurement.
{"title":"Assessing the dimensionality of food-security measures","authors":"M. Rabbitt, G. Engelhard, J. K. Jennings","doi":"10.3233/jem-210476","DOIUrl":"https://doi.org/10.3233/jem-210476","url":null,"abstract":"We explore the dimensionality of the U.S. Department of Agriculture’s household food security survey module among households with children. Using a novel methodological approach to measuring food security, we find that there is multidimensionality in the module for households with children that is associated with the overall household, adult, and child dimensions of food security. Additional analyses suggest official estimates of food security among households with children are robust to this multidimensionality. However, we also find that accounting for the multidimensionality of food security among these households provides new insights into the correlates of food security at the household, adult, and child levels of measurement.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42109064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Abildgren, A. Kuchler, America Solange Lohmann Rasmussen, Henrik Sejerbo Sørensen
In recent years it has come into focus whether longitudinal microdata on consumption derived from administrative registers can constitute an attractive supplement to survey data. This paper explores the consistency between register-imputed and survey-based consumption figures at the household level for Denmark over the period 2002–15. Moreover, it presents estimated consumer demand functions based on the two types of microdata for the same households. The paper finds no significant differences between the marginal propensities to consume out of income estimated on the basis of the two data sources. Furthermore, it demonstrates a close match between total private consumption in the national-accounts statistics and the register-based consumption microdata aggregated over all households.
{"title":"Registers or surveys – does the type of microdata matter for empirical analyses of consumption behavior?","authors":"K. Abildgren, A. Kuchler, America Solange Lohmann Rasmussen, Henrik Sejerbo Sørensen","doi":"10.3233/jem-210478","DOIUrl":"https://doi.org/10.3233/jem-210478","url":null,"abstract":"In recent years it has come into focus whether longitudinal microdata on consumption derived from administrative registers can constitute an attractive supplement to survey data. This paper explores the consistency between register-imputed and survey-based consumption figures at the household level for Denmark over the period 2002–15. Moreover, it presents estimated consumer demand functions based on the two types of microdata for the same households. The paper finds no significant differences between the marginal propensities to consume out of income estimated on the basis of the two data sources. Furthermore, it demonstrates a close match between total private consumption in the national-accounts statistics and the register-based consumption microdata aggregated over all households.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49444602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Food insecurity, defined as a condition of limited or uncertain access to adequate food, is a widely used measure of well-being in the U.S. The survey module in the Current Population Survey (CPS) that is used to generate the official U.S. food insecurity measure is also included on multiple waves of the Panel Study of Income Dynamics (PSID), offering the first opportunity to answer key research questions on the persistence of food insecurity within and across generations. We assess the validity of the food insecurity measure in the PSID by comparing it to the CPS. We find that, although estimated food insecurity rates in the PSID are lower than those in the CPS, the trends over time in the two datasets are similar, and the rates converge from the 1999–2003 period to the 2015–17 period. Our findings lend credence to the use of the PSID for food insecurity research.
{"title":"Food insecurity in the PSID: A comparison with the levels, trends, and determinants in the CPS, 1999–2017","authors":"L. Tiehen, Cody N. Vaughn, James P. Ziliak","doi":"10.3233/JEM-210474","DOIUrl":"https://doi.org/10.3233/JEM-210474","url":null,"abstract":"Food insecurity, defined as a condition of limited or uncertain access to adequate food, is a widely used measure of well-being in the U.S. The survey module in the Current Population Survey (CPS) that is used to generate the official U.S. food insecurity measure is also included on multiple waves of the Panel Study of Income Dynamics (PSID), offering the first opportunity to answer key research questions on the persistence of food insecurity within and across generations. We assess the validity of the food insecurity measure in the PSID by comparing it to the CPS. We find that, although estimated food insecurity rates in the PSID are lower than those in the CPS, the trends over time in the two datasets are similar, and the rates converge from the 1999–2003 period to the 2015–17 period. Our findings lend credence to the use of the PSID for food insecurity research.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-210474","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70068694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：