2010 and 2011 - Census Bureau

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Table A-5.2. HouseHold dAtA 1 data product description American Community Survey American Housing Survey Current Population Survey National Crime Victimization Survey National Longitudinal Mortality Study Survey of Income and Program Participation The American Community Survey (ACS) is a nationwide survey designed to provide communities a constantly refreshed look at how they are changing. The ACS has eliminated the need for the long form in the decennial population census. The survey collects information from U.S. households similar to what was collected on the Census 2000 long form, such as income, commute time to work, home value, veteran status, and other important data. The American Housing Survey (AHS) collects data on the nation’s housing, including apartments, single-family homes, mobile homes, vacant housing units, household characteristics, income, housing and neighborhood quality, housing costs, equipment and fuels, size of housing unit, and recent movers. National data are collected in odd-numbered years and data for each of 47 selected metropolitan areas are collected about every 4 years, with an average of 12 metropolitan areas included each year. The Current Population Survey (CPS) collects data concerning work experience, several sources of income, migration, household composition, health insurance coverage, and receipt of noncash benefits. The National Crime Victimization Survey (NCVS) collects data from respondents who are 12 years of age or older regarding the amount and kinds of crime committed against them during a specific 6-month reference period preceding the month of interview. The NCVS also collects detailed information about specific incidents of criminal victimization that the respondent reports for the 6-month reference period. The NCVS is also periodically used as the vehicle for fielding a number of supplements to provide additional information about crime and victimization. The National Longitudinal Mortality Study (NLMS) is a database developed for the purpose of studying the effects of demographic and socioeconomic characteristics on differentials in U.S. mortality rates. The NLMS consists of data from Current Population Surveys, Annual Social and Economic Supplements, and a subset of the 1980 Census combined with death certificate information to identify mortality status and cause of death. The Survey of Income and Program Participation (SIPP) collects data on the source and amount of income, labor force information, program participation and eligibility data, and general demographic characteristics. The data are used to measure the effectiveness of existing federal, state, and local programs, to estimate future costs and coverage for government programs, and to provide improved statistics on the distribution of income in the United States. new or updated years 2006–2010 2005, 2007–2009 2009, 2010 2008, 2009 78 Research at the Center for Economic Studies and the Research Data Centers: 2010–2011 U.S. Census Bureau 1998 2008 1 These demographic or decennial files maintained at the Center for Economic Studies and for the RDCs are the internal versions, and they provide researchers with variables and detailed information that are not available in the corresponding public-use files.
Table A-5.3. longitudinAl eMployer-HouseHold dynAMics (leHd) dAtA data product description Business Register Bridge Employer Characteristics File Employment History File Geocoded Address List Individual Characteristics File The Business Register Bridge (BRB) is a link between LEHD employer microdata and Business Register (BR) firms, and establishment microdata. Since the concepts of “firm” and “establishment” differ between the LEHD employer microdata and the BR, the BRB provides a crosswalk at various levels of business-unit aggregation. The most detailed crosswalk is at the level of Employer Identification Number (EIN)—State-four-digit Standard Industry Classification (SIC) Industry- County. The bridge includes the full list of establishments in the LEHD data and in the BR that are associated with the business units (e.g., EIN-four-digit SIC-State-County) in the crosswalk and measures of activity (e.g., employment, sales). The Employer Characteristics File (ECF) consolidates most firm-level information (size, location, industry, etc.) into two easily accessible files. The firm-level file has one record for every year and quarter in which a firm is present in either the covered Employment and Wages (ES-202) program data or the unemployment insurance system (UI) wage records. Firms are identified by the LEHD State Employer Identification Number (SEIN). The data in the firm-level file is aggregated from the core establishment-level file, where establishments are identified by reporting unit number within SEIN, called SEINUNIT. The Employment History File (EHF) provides a full time series of earnings at all within-state jobs for all quarters covered by the LEHD system and provided by the state. It also provides activity calendars at a job, firm and sub-firm reporting unit level. It can be linked to other Census Bureau files through the Protected Identity Key (PIK) and the LEHD SEIN. The Geocoded Address List (GAL) is a dataset containing unique commercial and residential addresses in a state geocoded to the census block and latitude/longitude coordinates. It consists of the GAL and a crosswalk for each processed file-year. The GAL contains each unique address, a GAL identifier, its geocodes, a flag for each fileyear in which it appears, data quality indicators, and data processing information. The GAL Crosswalk contains the GAL identifier. The Individual Characteristics File (ICF) for each state contains one record for every person who has ever been employed in that state over the period spanned by the state’s unemployment insurance records. It consolidates information from multiple input sources on gender, age, citizenship, point-in-time residence, and education. Information on gender, education, and age is imputed ten times when missing. new or updated years 1990–2008 1989–2008 1985–2008 1990–2008 1985–2008 U.S. Census Bureau Research at the Center for Economic Studies and the Research Data Centers: 2010–2011 79
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Center for Economic Studies and Res
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Chapter 2. real-time Analysis infor
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Figure 2. Less Variation in 2010 Pa
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Figure 6. Productivity Varies Widel
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Figure 8. Enumeration Reduces Respo
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Table 1. Model vAriAbles: descripti
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interactions of various business ch
Page 34 and 35: eFerences Petroni, R., R. Sigman, D
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Page 41 and 42: Campbell, Benjamin A., Martin Ganco
Page 43 and 44: Hipp, John R. 2010. “Resident Per
Page 45 and 46: Woodcock, Simon D. 2010. “Heterog
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Page 49 and 50: Isenberg, Emily Pas. 2010. “The E
Page 51: Saldanha, Terence J., Nigel P. Melv
Page 54 and 55: geogrApHic deregulAtion oF u.s. bAn
Page 56 and 57: MeAsuring outcoMes FroM pollution A
Page 58 and 59: coMMunity HAzArd MitigAtion And tHe
Page 60 and 61: tHe power oF tHe pill in sHAping u.
Page 63 and 64: Appendix 3-B. AbstrActs oF proJects
Page 65 and 66: tHe role oF MAcroeconoMic condition
Page 67 and 68: eFFects oF clinicAl depression on l
Page 69 and 70: tHe sHort- And long-terM eFFects oF
Page 71 and 72: tHe eFFects oF tHe Food stAMp progr
Page 73: does tHe neigHborHood Food environM
Page 76 and 77: 10-24 “Past Experience and Future
Page 78 and 79: 11-30 “Job Displacement and the D
Page 80 and 81: data product description Census of
Page 82 and 83: data product description Manufactur
Page 86 and 87: data product description Quarterly
Page 88 and 89: triangle census rdc (duke and rti)
Page 90 and 91: California Steve Saxton, Chief Labo
Page 92 and 93: Puerto Rico Elda Ivelisse Pares, Di
Page 94 and 95: Kristin Sandusky Economist Liliana
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2010 and 2011 - Census Bureau

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