Daniel A. Ackerberg, David R. DeRemer, M. Riordan, Gregory L. Rosston, Bradley S. Wimmer
This policy study uses U.S. Census microdata to evaluate how subsidies for universal telephone service vary in their impact across low-income racial groups, gender, age, and home ownership. Our demand specification includes both the subsidized monthly price (Lifeline program) and the subsidized initial connection price (Linkup program) for local telephone service. Our quasi-maximum likelihood estimation controls for location differences and instruments for price endogeneity. The microdata allow us to estimate the effects of demographics on both elasticities of telephone penetration and the level of telephone penetration. Based on our preferred estimates, the subsidy programs increased aggregate penetration by 6.1% for households below the poverty line. Our results suggest that automatic enrollment programs are important and that Linkup is more cost-effective than Lifeline, which calls into question a recent FCC (2012) decision to reduce Linkup subsidies in favor of Lifeline. Our study can inform the evaluation of similar universal service policies for Internet access.
{"title":"Estimating the Impact of Low-Income Universal Service Programs","authors":"Daniel A. Ackerberg, David R. DeRemer, M. Riordan, Gregory L. Rosston, Bradley S. Wimmer","doi":"10.2139/ssrn.2286294","DOIUrl":"https://doi.org/10.2139/ssrn.2286294","url":null,"abstract":"This policy study uses U.S. Census microdata to evaluate how subsidies for universal telephone service vary in their impact across low-income racial groups, gender, age, and home ownership. Our demand specification includes both the subsidized monthly price (Lifeline program) and the subsidized initial connection price (Linkup program) for local telephone service. Our quasi-maximum likelihood estimation controls for location differences and instruments for price endogeneity. The microdata allow us to estimate the effects of demographics on both elasticities of telephone penetration and the level of telephone penetration. Based on our preferred estimates, the subsidy programs increased aggregate penetration by 6.1% for households below the poverty line. Our results suggest that automatic enrollment programs are important and that Linkup is more cost-effective than Lifeline, which calls into question a recent FCC (2012) decision to reduce Linkup subsidies in favor of Lifeline. Our study can inform the evaluation of similar universal service policies for Internet access.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76232345","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 explores the evolution of average wage paid to employees along the life-cycle of a manufacturing plant in U.S. Average wage starts out low for a new plant and increases along with labor productivity, as the plant survives and ages. As a plant experiences productivity decline and approaches exit, average wage falls, but more slowly than it rises in the case of surviving new plants. Moreover, average wage declines slower than productivity does in failing plants, while it rises relatively faster as productivity increases in surviving new plants. These empirical regularities are studied in a dynamic model of labor quality and quantity choice by plants, where labor quality is reflected in wages. The model’s parameters are estimated to assess the costs a plant incurs as it alters its labor quality and quantity in response to changes in its productivity over its life-cycle.
{"title":"Wage Dynamics along the Life-Cycle of Manufacturing Plants","authors":"Emin M. Dinlersoz, Henry R. Hyatt, S. Nguyen","doi":"10.2139/ssrn.1920701","DOIUrl":"https://doi.org/10.2139/ssrn.1920701","url":null,"abstract":"This paper explores the evolution of average wage paid to employees along the life-cycle of a manufacturing plant in U.S. Average wage starts out low for a new plant and increases along with labor productivity, as the plant survives and ages. As a plant experiences productivity decline and approaches exit, average wage falls, but more slowly than it rises in the case of surviving new plants. Moreover, average wage declines slower than productivity does in failing plants, while it rises relatively faster as productivity increases in surviving new plants. These empirical regularities are studied in a dynamic model of labor quality and quantity choice by plants, where labor quality is reflected in wages. The model’s parameters are estimated to assess the costs a plant incurs as it alters its labor quality and quantity in response to changes in its productivity over its life-cycle.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79429129","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 test for evidence of spatial, residence-based labor market networks. Turnover is lower for workers more connected to their neighbors generally and more connected to neighbors of the same race or ethnic group. Both results are consistent with networks producing better job matches, while the latter could also reflect preferences for working with neighbors of the same race or ethnicity. For earnings, we find a robust positive effect of the overall residence-based network measure, whereas we usually find a negative effect of the same-group measure, suggesting that the overall network measure reflects productivity-enhancing positive network effects, while the same-group measure may capture a non-wage amenity.
{"title":"Do Labor Market Networks Have an Important Spatial Dimension?","authors":"J. Hellerstein, Mark Kutzbach, D. Neumark","doi":"10.2139/ssrn.2205213","DOIUrl":"https://doi.org/10.2139/ssrn.2205213","url":null,"abstract":"We test for evidence of spatial, residence-based labor market networks. Turnover is lower for workers more connected to their neighbors generally and more connected to neighbors of the same race or ethnic group. Both results are consistent with networks producing better job matches, while the latter could also reflect preferences for working with neighbors of the same race or ethnicity. For earnings, we find a robust positive effect of the overall residence-based network measure, whereas we usually find a negative effect of the same-group measure, suggesting that the overall network measure reflects productivity-enhancing positive network effects, while the same-group measure may capture a non-wage amenity.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77597699","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}
Using firm-level data on export transactions, we uncover a rich set of results about the extensive margins of exporting and exporter responses during periods of global downturns. We perform our analysis with respect to firm size, age, ownership status, and sector to emphasize the role of firm heterogeneity. We uncover a larger role for firm entry and exit in changes in annual export flows of single-unit, smaller, and younger firms. Young, small firms perform best during both periods of crises as well as non-crises periods. We also decompose the margins of U.S. imports at the U.S. importer, foreign supplier, and U.S. importer-foreign supplier pair levels. While export flows are closely correlated with global business cycles, import flows more closely approximate U.S. economic cycles. Additionally, both pair and foreign supplier flows are far more volatile than U.S. import flows, that is, U.S. importer-foreign supplier matches experience more churning on average than do either U.S. importers or foreign suppliers.
{"title":"Decomposing Aggregate Trade Flows: New Evidence from U.S. Traders","authors":"Fariha Kamal, C. Krizan","doi":"10.2139/ssrn.2191586","DOIUrl":"https://doi.org/10.2139/ssrn.2191586","url":null,"abstract":"Using firm-level data on export transactions, we uncover a rich set of results about the extensive margins of exporting and exporter responses during periods of global downturns. We perform our analysis with respect to firm size, age, ownership status, and sector to emphasize the role of firm heterogeneity. We uncover a larger role for firm entry and exit in changes in annual export flows of single-unit, smaller, and younger firms. Young, small firms perform best during both periods of crises as well as non-crises periods. We also decompose the margins of U.S. imports at the U.S. importer, foreign supplier, and U.S. importer-foreign supplier pair levels. While export flows are closely correlated with global business cycles, import flows more closely approximate U.S. economic cycles. Additionally, both pair and foreign supplier flows are far more volatile than U.S. import flows, that is, U.S. importer-foreign supplier matches experience more churning on average than do either U.S. importers or foreign suppliers.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80752782","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}
A common caveat often accompanying results relying on household surveys regards respondent error. There is research using independent, presumably error-free administrative data, to estimate the extent of error in the data, the correlates of error, and potential corrections for the error. We investigate measurement error in occupation in the Current Population Survey (CPS) using the panel component of the CPS to identify those that incorrectly report changing occupation. We find evidence that individuals are inflating their occupation to higher skilled and higher paying occupations than the ones they actually perform. Occupation inflation biases the education and race coefficients in standard Mincer equation results within occupations.
{"title":"Occupation Inflation in the Current Population Survey","authors":"Jonathan D. Fisher, Christina A. Houseworth","doi":"10.2139/SSRN.2205198","DOIUrl":"https://doi.org/10.2139/SSRN.2205198","url":null,"abstract":"A common caveat often accompanying results relying on household surveys regards respondent error. There is research using independent, presumably error-free administrative data, to estimate the extent of error in the data, the correlates of error, and potential corrections for the error. We investigate measurement error in occupation in the Current Population Survey (CPS) using the panel component of the CPS to identify those that incorrectly report changing occupation. We find evidence that individuals are inflating their occupation to higher skilled and higher paying occupations than the ones they actually perform. Occupation inflation biases the education and race coefficients in standard Mincer equation results within occupations.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78511294","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}
Christopher Ordowich, David W. Cheney, J. Youtie, A. Fernandez-Ribas, P. Shapira
This work examines the impact of manufacturing extension services on establishment productivity. It builds on an earlier study conducted by Jarmin in the 1990s, by matching the Census of Manufacturers (CMF) with the Manufacturing Extension Partnership (MEP) customer and activity datasets to generate treatment and comparison groups for analysis. The scope of the study is the period 1997 to 2002, which was a period of economic downturn in the manufacturing sector and budgetary challenges for the MEP. The paper presents some preliminary findings from this analysis. Both lagged dependent variable (LDV) and difference in difference (DiD) models are employed to estimate the relationship between manufacturing extension and labor productivity. The results presented are inconclusive and paint a mixed picture as they demonstrate the benefits and limitations of using Census microdata in program evaluation. They also point to the need to conduct analyses that could help to better understand the dynamic impact of MEP services.
{"title":"Evaluating the Impact of MEP Services on Establishment Performance: A Preliminary Empirical Investigation","authors":"Christopher Ordowich, David W. Cheney, J. Youtie, A. Fernandez-Ribas, P. Shapira","doi":"10.2139/ssrn.2160471","DOIUrl":"https://doi.org/10.2139/ssrn.2160471","url":null,"abstract":"This work examines the impact of manufacturing extension services on establishment productivity. It builds on an earlier study conducted by Jarmin in the 1990s, by matching the Census of Manufacturers (CMF) with the Manufacturing Extension Partnership (MEP) customer and activity datasets to generate treatment and comparison groups for analysis. The scope of the study is the period 1997 to 2002, which was a period of economic downturn in the manufacturing sector and budgetary challenges for the MEP. The paper presents some preliminary findings from this analysis. Both lagged dependent variable (LDV) and difference in difference (DiD) models are employed to estimate the relationship between manufacturing extension and labor productivity. The results presented are inconclusive and paint a mixed picture as they demonstrate the benefits and limitations of using Census microdata in program evaluation. They also point to the need to conduct analyses that could help to better understand the dynamic impact of MEP services.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85225224","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}
Using linked employer-employee data, I compute firm-level measures of the labor supply elasticity facing each private non-farm firm in the US. I provide the first direct evidence of the positive relationship between a firm's labor supply elasticity and the earnings of its workers. I also contrast the dynamic model method employed by this paper with the more traditional use of concentration ratios to measure a firm's labor market power. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution.
{"title":"Firm Market Power and the Earnings Distribution","authors":"Douglas A. Webber","doi":"10.2139/ssrn.1969785","DOIUrl":"https://doi.org/10.2139/ssrn.1969785","url":null,"abstract":"Using linked employer-employee data, I compute firm-level measures of the labor supply elasticity facing each private non-farm firm in the US. I provide the first direct evidence of the positive relationship between a firm's labor supply elasticity and the earnings of its workers. I also contrast the dynamic model method employed by this paper with the more traditional use of concentration ratios to measure a firm's labor market power. Finally, I construct a counterfactual earnings distribution which allows the effects of firm market power to vary across the earnings distribution.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87790065","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}
A 2004 report by the author reviewed data from Census 2000 and concluded "There is a substantial gap in median earnings between men and women that is unexplained, even after controlling for work experience (to the extent it can be represented by age and presence of children), education, and occupation." This paper extends the analysis and concludes that once those characteristics are controlled for, no further explanatory power is attributable to race or Hispanic origin.
{"title":"Further Evidence from Census 2000 About Earnings by Detailed Occupation for Men and Women: The Role of Race and Hispanic Origin","authors":"D. Weinberg","doi":"10.2139/SSRN.1957194","DOIUrl":"https://doi.org/10.2139/SSRN.1957194","url":null,"abstract":"A 2004 report by the author reviewed data from Census 2000 and concluded \"There is a substantial gap in median earnings between men and women that is unexplained, even after controlling for work experience (to the extent it can be represented by age and presence of children), education, and occupation.\" This paper extends the analysis and concludes that once those characteristics are controlled for, no further explanatory power is attributable to race or Hispanic origin.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72636617","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 Economic Census is one of the most important activities that the U.S. Census Bureau performs. It is critical for updating firm ownership/structure and industry information for a large number of businesses in the Census Bureau’s Business Register, impacting most other economic programs. Also, it feeds into Bureau of Economic Analysis products, such as benchmark inputoutput accounts and Gross Domestic Product. The overall check-in rate for the 2007 Economic Census was just over 86%. Establishments owned by multi-location companies returned over 90% of their forms, as compared to the roughly two million single-establishment firms sampled in the Census that returned just over 80%. We model the check-in rate for single-establishment firms by using a large number of variables that might be correlated with whether or not a firm returns a form in the Economic Census. These variables are broadly categorized as the characteristics of firms, measures of external factors, and features of the survey design. We use the model for two purposes. First, by including many of the factors that may be correlated with returns we aim to focus limited advertising and outreach resources to low-return segments of the population. Second, we use the model to investigate the efficacy of an unplanned intervention expected to increase return rates: using certified mailing for one of the form follow-ups.
经济普查是美国人口普查局开展的最重要的活动之一。它对于更新人口普查局商业登记簿中大量企业的公司所有权/结构和行业信息至关重要，影响到大多数其他经济计划。此外，它还会被输入到美国经济分析局(Bureau of Economic Analysis)的产品中，比如基准投入产出账户和国内生产总值(gdp)。2007年经济普查的总体登记率刚刚超过86%。由多家公司拥有的企业上交了超过90%的表格，而在人口普查中抽样的大约200万家单一企业上交了超过80%的表格。我们通过使用大量可能与公司是否在经济普查中返回表格相关的变量来模拟单一公司的签到率。这些变量大致分为公司的特征、外部因素的测量和调查设计的特征。我们使用这个模型有两个目的。首先，通过纳入许多可能与回报相关的因素，我们的目标是将有限的广告和外展资源集中在低回报的人群上。其次，我们使用该模型来调查期望提高退货率的计划外干预的有效性:对其中一种形式的跟进使用认证邮件。
{"title":"Modeling Single Establishment Firm Returns to the 2007 Economic Census","authors":"Emin M. Dinlersoz, Shawn D. Klimek","doi":"10.2139/ssrn.1938998","DOIUrl":"https://doi.org/10.2139/ssrn.1938998","url":null,"abstract":"The Economic Census is one of the most important activities that the U.S. Census Bureau performs. It is critical for updating firm ownership/structure and industry information for a large number of businesses in the Census Bureau’s Business Register, impacting most other economic programs. Also, it feeds into Bureau of Economic Analysis products, such as benchmark inputoutput accounts and Gross Domestic Product. The overall check-in rate for the 2007 Economic Census was just over 86%. Establishments owned by multi-location companies returned over 90% of their forms, as compared to the roughly two million single-establishment firms sampled in the Census that returned just over 80%. We model the check-in rate for single-establishment firms by using a large number of variables that might be correlated with whether or not a firm returns a form in the Economic Census. These variables are broadly categorized as the characteristics of firms, measures of external factors, and features of the survey design. We use the model for two purposes. First, by including many of the factors that may be correlated with returns we aim to focus limited advertising and outreach resources to low-return segments of the population. Second, we use the model to investigate the efficacy of an unplanned intervention expected to increase return rates: using certified mailing for one of the form follow-ups.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75140229","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 Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) is conducted to provide nationally representative estimates on employer sponsored health insurance. MEPS-IC data are collected from private sector employers, as well as state and local governments. While similar information is gathered from these two sectors, differences in the survey process exist. The goal of this paper is to provide details on the public sector including types of state and local government employers, sample design, general information on the data collected in the MEPS-IC, and additional sources of information.
{"title":"A Guide to the MEPS-IC Government List Sample Microdata","authors":"Alice M. Zawacki","doi":"10.2139/SSRN.1938997","DOIUrl":"https://doi.org/10.2139/SSRN.1938997","url":null,"abstract":"The Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) is conducted to provide nationally representative estimates on employer sponsored health insurance. MEPS-IC data are collected from private sector employers, as well as state and local governments. While similar information is gathered from these two sectors, differences in the survey process exist. The goal of this paper is to provide details on the public sector including types of state and local government employers, sample design, general information on the data collected in the MEPS-IC, and additional sources of information.","PeriodicalId":92154,"journal":{"name":"U.S. Census Bureau Center for Economic Studies research paper series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88921048","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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