L. Tamariz, Heidy N. Medina, M. Suarez, David Seo, A. Palacio
{"title":"Linking census data with electronic medical records for clinical research: A systematic review","authors":"L. Tamariz, Heidy N. Medina, M. Suarez, David Seo, A. Palacio","doi":"10.3233/JEM-180454","DOIUrl":"https://doi.org/10.3233/JEM-180454","url":null,"abstract":"","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-180454","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48437380","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 describe a new firm-level survey, the Annual Survey of Entrepreneurs (ASE), conducted by the Census Bureau in partnership with the Ewing Marion Kauffman Foundation and the Minority Business Development Agency. We provide the motivation for this new survey, context in terms of related surveys and products, and details about its sampling methodology and content. The paper is intended to inform potential users of publicly-available information from the ASE as well as researchers interested in using micro-level data through the Federal Statistical Research Data Center network. We close with a brief description of the ASE’s successor, the Annual Business Survey.
{"title":"The annual survey of entrepreneurs","authors":"L. Foster, Patrice Norman","doi":"10.3233/JEM-180446","DOIUrl":"https://doi.org/10.3233/JEM-180446","url":null,"abstract":"We describe a new firm-level survey, the Annual Survey of Entrepreneurs (ASE), conducted by the Census Bureau in partnership with the Ewing Marion Kauffman Foundation and the Minority Business Development Agency. We provide the motivation for this new survey, context in terms of related surveys and products, and details about its sampling methodology and content. The paper is intended to inform potential users of publicly-available information from the ASE as well as researchers interested in using micro-level data through the Federal Statistical Research Data Center network. We close with a brief description of the ASE’s successor, the Annual Business Survey.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"199-224"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-180446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42860018","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}
F. Ritchie, Michail Veliziotis, H. Drew, D. Whittard
Identifying genuine underpayment of minimum wages is not straightforward. Some well-known statistical issues affect the measurement of compliance rates, but factors such as processing or behavioural influences amongst respondents can also have an impact. We study the quantitative measurement of non-compliance with the minimum wage, using UK apprentices (who have particularly high non-compliance rates) as a case study. We show that understanding the institutional and behavioural context can be invaluable, as can triangulation of different sources. While the binary nature of compliance makes such problems easier to identify and evaluate, this analysis holds wider lessons for the understanding of the characteristics of large and complex datasets.
{"title":"Measuring compliance with minimum wages","authors":"F. Ritchie, Michail Veliziotis, H. Drew, D. Whittard","doi":"10.3233/JEM-180448","DOIUrl":"https://doi.org/10.3233/JEM-180448","url":null,"abstract":"Identifying genuine underpayment of minimum wages is not straightforward. Some well-known statistical issues affect the measurement of compliance rates, but factors such as processing or behavioural influences amongst respondents can also have an impact. We study the quantitative measurement of non-compliance with the minimum wage, using UK apprentices (who have particularly high non-compliance rates) as a case study. We show that understanding the institutional and behavioural context can be invaluable, as can triangulation of different sources. While the binary nature of compliance makes such problems easier to identify and evaluate, this analysis holds wider lessons for the understanding of the characteristics of large and complex datasets.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"249-270"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-180448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46004877","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 examines whether and to what extent the amount of Social Security benefits of older survey respondents in the Health and Retirement Study (HRS) are reported accurately. Inaccurate reporting leads to biased estimates of gross Social Security benefits, affecting estimates of elderly well-being, including the proportion of beneficiaries classified as poor or near poor. Our findings indicate that 73% of HRS respondents report only the net amount of Social Security benefits they receive, excluding Medicare premiums. The implication is that Social Security benefits in the HRS are underestimates of the true gross benefits. Therefore, the HRS data overestimate the proportion of the elderly respondents who are poor or nearly poor. Finally, even after correcting for gross benefits, Social Security income comprises at least 50% of the total family income for about half of elderly respondents.
{"title":"Reporting accuracy of Social Security benefits and its implications in the Health and Retirement Study","authors":"Irena Dushi, H. Iams","doi":"10.3233/JEM-180449","DOIUrl":"https://doi.org/10.3233/JEM-180449","url":null,"abstract":"This paper examines whether and to what extent the amount of Social Security benefits of older survey respondents in the Health and Retirement Study (HRS) are reported accurately. Inaccurate reporting leads to biased estimates of gross Social Security benefits, affecting estimates of elderly well-being, including the proportion of beneficiaries classified as poor or near poor. Our findings indicate that 73% of HRS respondents report only the net amount of Social Security benefits they receive, excluding Medicare premiums. The implication is that Social Security benefits in the HRS are underestimates of the true gross benefits. Therefore, the HRS data overestimate the proportion of the elderly respondents who are poor or nearly poor. Finally, even after correcting for gross benefits, Social Security income comprises at least 50% of the total family income for about half of elderly respondents.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"271-292"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-180449","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43791945","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 this article we examine whether the implementation of a standardized Spanish-language Household Food Security Survey Module (HFSSM) affects comparisons of food insecurity measures between Hispanic and non-Hispanic White households. We find that some of the food insecurity items are measuring different levels of the severity of (latent) food insecurity between these groups, but that these differences are small. While differences in the measured severity of food insecurity between Hispanic and non-Hispanic White households were small, implementation of the standardized Spanish-HFSSM improved the reliability and performance of the food insecurity items. Concerns about the bias associated with differences in the measured severity of food insecurity between these groups were assessed and found to be negligible, suggesting the Spanish- and English-language HFSSMs produce comparable measures of food insecurity.
{"title":"Rasch analyses of the standardized Spanish translation of the U.S. household food security survey module","authors":"M. Rabbitt, Alisha Coleman-Jensen","doi":"10.3233/JEM-170443","DOIUrl":"https://doi.org/10.3233/JEM-170443","url":null,"abstract":"In this article we examine whether the implementation of a standardized Spanish-language Household Food Security Survey Module (HFSSM) affects comparisons of food insecurity measures between Hispanic and non-Hispanic White households. We find that some of the food insecurity items are measuring different levels of the severity of (latent) food insecurity between these groups, but that these differences are small. While differences in the measured severity of food insecurity between Hispanic and non-Hispanic White households were small, implementation of the standardized Spanish-HFSSM improved the reliability and performance of the food insecurity items. Concerns about the bias associated with differences in the measured severity of food insecurity between these groups were assessed and found to be negligible, suggesting the Spanish- and English-language HFSSMs produce comparable measures of food insecurity.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"171-187"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-170443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42067812","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}
Data from large payroll processing companies are a potential source of regional job growth estimates that are timelier than official government statistics. Monthly private sector employment data from ADP, LLC is available for 29 U.S. states and Washington DC about 10 days prior to official employment data from the U.S. Bureau of Labor Statistics. Using a simple model with real-time data, lags of job growth and the coincident month ADP estimates, we find that for all 30 regions the information in the ADP is statistically significant in nowcasting the most recent month of job growth. Our results suggest that the ADP data are an important source of information for analysts conducting regional current analysis.
{"title":"Nowcasting regional job growth using payroll processing company data","authors":"K. Phillips, Christopher Slijk","doi":"10.3233/JEM-170442","DOIUrl":"https://doi.org/10.3233/JEM-170442","url":null,"abstract":"Data from large payroll processing companies are a potential source of regional job growth estimates that are timelier than official government statistics. Monthly private sector employment data from ADP, LLC is available for 29 U.S. states and Washington DC about 10 days prior to official employment data from the U.S. Bureau of Labor Statistics. Using a simple model with real-time data, lags of job growth and the coincident month ADP estimates, we find that for all 30 regions the information in the ADP is statistically significant in nowcasting the most recent month of job growth. Our results suggest that the ADP data are an important source of information for analysts conducting regional current analysis.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"189-198"},"PeriodicalIF":0.0,"publicationDate":"2017-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-170442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46285551","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}
The widely used PRODY indicator by Hausmann et al. (J Econ Growth 12(1):1–25, 2007) allows the calculation of product sophistication and factor intensities at high levels of disaggregation. In this chapter I deal with its measurement, its conceptional limitations, its sensitivity to subjective decision making, its alternatives, and how to reap the best possible benefit from its usage. I introduce a theory-based alternative and investigate the sensitivity of empirical results with respect to different measures. In particular, I re-estimate the main results of Hausmann et al. (J Econ Growth 12(1):1–25, 2007) with 75 different measures. Small changes to the sample, the aggregation level, or the construction of the indicator can make a difference. Moreover, I offer two Stata programs that ease the calculation of various PRODY variants.
{"title":"Indicators of Product Sophistication and Factor Intensities: Measurement Matters","authors":"S. Huber","doi":"10.2139/SSRN.2843713","DOIUrl":"https://doi.org/10.2139/SSRN.2843713","url":null,"abstract":"The widely used PRODY indicator by Hausmann et al. (J Econ Growth 12(1):1–25, 2007) allows the calculation of product sophistication and factor intensities at high levels of disaggregation. In this chapter I deal with its measurement, its conceptional limitations, its sensitivity to subjective decision making, its alternatives, and how to reap the best possible benefit from its usage. I introduce a theory-based alternative and investigate the sensitivity of empirical results with respect to different measures. In particular, I re-estimate the main results of Hausmann et al. (J Econ Growth 12(1):1–25, 2007) with 75 different measures. Small changes to the sample, the aggregation level, or the construction of the indicator can make a difference. Moreover, I offer two Stata programs that ease the calculation of various PRODY variants.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"42 1","pages":"27-65"},"PeriodicalIF":0.0,"publicationDate":"2017-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43432651","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}
Cristina da Felicidade Loureiro Fernandes, N. Crespo, Nádia Simões
With data for Portugal we propose an index of housing comfort based on the Household Budget Survey. This index covers housing and durable goods grouped in two dimensions: basic comfort and complementary comfort. Taking this index as starting point we make two contributions. First we quantify the phenomena of poverty, richness, and inequality in housing comfort. Second, using an ordered probit model, we evaluate the determinants of housing comfort in Portugal. The results show significant rates of poverty (12.41%) and richness (22.03%). The evidence sustains that the differences between households derive mainly from complementary comfort and to a lesser extent from basic comfort items. Inequality in housing comfort, measured by the Gini coefficient, stands at 0.1263. The econometric study reveals that the region of residence of the household and the educational level and labor market state of the household reference person are among the most critical determinant factors of housing comfort.
{"title":"Poverty, richness, and inequality: Evidence for Portugal using a housing comfort index","authors":"Cristina da Felicidade Loureiro Fernandes, N. Crespo, Nádia Simões","doi":"10.3233/JEM-170437","DOIUrl":"https://doi.org/10.3233/JEM-170437","url":null,"abstract":"With data for Portugal we propose an index of housing comfort based on the Household Budget Survey. This index covers housing and durable goods grouped in two dimensions: basic comfort and complementary comfort. Taking this index as starting point we make two contributions. First we quantify the phenomena of poverty, richness, and inequality in housing comfort. Second, using an ordered probit model, we evaluate the determinants of housing comfort in Portugal. The results show significant rates of poverty (12.41%) and richness (22.03%). The evidence sustains that the differences between households derive mainly from complementary comfort and to a lesser extent from basic comfort items. Inequality in housing comfort, measured by the Gini coefficient, stands at 0.1263. The econometric study reveals that the region of residence of the household and the educational level and labor market state of the household reference person are among the most critical determinant factors of housing comfort.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"41 1","pages":"371-394"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-170437","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47008977","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}
S. Cohen, Joel W. Cohen, M. Stagnitti, D. Lefkowitz
Recent changes in the provision and organization of health care initiated by the Affordable Care Act have led to concerns about how these changes interact with the medical provider organizational characteristics to affect access, use, and expenditures for care. To examine the impact on individuals' use of care and costs, linked information is needed on both the characteristics of the medical providers' organizations and the individuals receiving care. There is currently no nationally representative data source that provides this essential information. Consequently, a Medical Organizations Survey (MOS) has been added as a component of the Medical Expenditure Panel Survey (MEPS) to address this limitation. The MEPS-MOS will obtain essential data on provider organizational characteristics, policies, and treatment protocols for a nationally representative sample of physicians providing care to MEPS participants. This paper describes the survey and sample design of the MEPS-MOS, survey content and precision targets and its analytical focus. This addition will substantially enhance the analytic capacity of the MEPS by facilitating assessments of how provider organizational structures and policies impact on health care utilization and expenditures, health status, patient safety and the health outcomes of individuals.
{"title":"Implementation of a linked Medical Organization Survey in the Medical Expenditure Panel Survey","authors":"S. Cohen, Joel W. Cohen, M. Stagnitti, D. Lefkowitz","doi":"10.3233/JEM-170436","DOIUrl":"https://doi.org/10.3233/JEM-170436","url":null,"abstract":"Recent changes in the provision and organization of health care initiated by the Affordable Care Act have led to concerns about how these changes interact with the medical provider organizational characteristics to affect access, use, and expenditures for care. To examine the impact on individuals' use of care and costs, linked information is needed on both the characteristics of the medical providers' organizations and the individuals receiving care. There is currently no nationally representative data source that provides this essential information. Consequently, a Medical Organizations Survey (MOS) has been added as a component of the Medical Expenditure Panel Survey (MEPS) to address this limitation. The MEPS-MOS will obtain essential data on provider organizational characteristics, policies, and treatment protocols for a nationally representative sample of physicians providing care to MEPS participants. This paper describes the survey and sample design of the MEPS-MOS, survey content and precision targets and its analytical focus. This addition will substantially enhance the analytic capacity of the MEPS by facilitating assessments of how provider organizational structures and policies impact on health care utilization and expenditures, health status, patient safety and the health outcomes of individuals.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"41 1","pages":"417-432"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-170436","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42626269","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}
N. Barth, Å. Cappelen, T. Skjerpen, Steinar Todsen, T. Åbyholm
In the Norwegian national accounts, as in many other countries, it is quite common to use information on depreciation rates and profiles based on studies from the US, Canada and the Netherlands due to a lack of national studies. We present new results based on a survey of Norwegian firms concerning their perception of the expected economic service life of different types of capital assets and their assessments of the most realistic depreciation profiles. For some capital categories, information on acquisition prices and second-hand market prices were also collected, together with information on the age of capital assets when they were sold in second-hand markets. We present the companies' answers about expected service lives and depreciation profiles, and carry out an econometric analysis for two types of capital where second-hand markets exist, Machinery and equipment for mining and manufacturing, and Tools, instruments, furnishings etc. For the first group, the expected service life is estimated to be between 9 and 10 years, while, for the second group, the estimate is about 8 years. According to the descriptive analysis, the reported mean expected service lives are around 10 and 7 years, respectively. Our results are quite similar to those obtained in the literature.
{"title":"Expected service lives and depreciation profiles for capital assets: Evidence based on a survey of Norwegian firms","authors":"N. Barth, Å. Cappelen, T. Skjerpen, Steinar Todsen, T. Åbyholm","doi":"10.3233/JEM-160435","DOIUrl":"https://doi.org/10.3233/JEM-160435","url":null,"abstract":"In the Norwegian national accounts, as in many other countries, it is quite common to use information on depreciation rates and profiles based on studies from the US, Canada and the Netherlands due to a lack of national studies. We present new results based on a survey of Norwegian firms concerning their perception of the expected economic service life of different types of capital assets and their assessments of the most realistic depreciation profiles. For some capital categories, information on acquisition prices and second-hand market prices were also collected, together with information on the age of capital assets when they were sold in second-hand markets. We present the companies' answers about expected service lives and depreciation profiles, and carry out an econometric analysis for two types of capital where second-hand markets exist, Machinery and equipment for mining and manufacturing, and Tools, instruments, furnishings etc. For the first group, the expected service life is estimated to be between 9 and 10 years, while, for the second group, the estimate is about 8 years. According to the descriptive analysis, the reported mean expected service lives are around 10 and 7 years, respectively. Our results are quite similar to those obtained in the literature.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"41 1","pages":"329-369"},"PeriodicalIF":0.0,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-160435","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43798430","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}
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