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Papers Containing Tag(s): 'National Science Foundation'

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Lars Vilhuber - 19

Peter Schott - 17

Kevin L. McKinney - 17

Lucia Foster - 14

Andrew Bernard - 14

Stephen Redding - 13

John Haltiwanger - 13

William Kerr - 11

Julia I. Lane - 9

Richard Burkhauser - 9

J. Bradford Jensen - 9

Catherine Buffington - 8

Nicholas Bloom - 8

Ron Jarmin - 8

Jeff Larrimore - 8

Nathan Goldschlag - 7

Ian M. Schmutte - 7

Javier Miranda - 6

Steven J. Davis - 6

Scott Ohlmacher - 6

Cheryl Grim - 6

Thomas Kemeny - 6

Abigail Cooke - 6

Shuaizhang Feng - 6

Wayne B Gray - 6

Paul A. Lengermann - 6

Erik Brynjolfsson - 5

Nikolas Zolas - 5

Jerome P. Reiter - 5

Joshua Drucker - 5

Ronald J Shadbegian - 5

Joseph Staudt - 4

Kristina McElheran - 4

Timothy R. Wojan - 4

Reed Walker - 4

Garrett Anstreicher - 4

J. David Brown - 4

John S. Earle - 4

Mee Jung Kim - 4

Kyung Min Lee - 4

Itay Saporta-Eksten - 4

Tania Babina - 4

Daniel Weinberg - 4

Rebecca Zarutskie - 4

Gordon M Phillips - 4

Edward Glaeser - 4

Simon Woodcock - 4

Chad Syverson - 4

Justin Pierce - 4

Stephen Jenkins - 4

James D Adams - 4

Nathaniel Hendren - 3

Zachary Kroff - 3

Richard Mansfield - 3

Sonya R. Porter - 3

Emin Dinlersoz - 3

James Tybout - 3

Mark J. Kutzbach - 3

James Davis - 3

Andrew S. Green - 3

Paige Ouimet - 3

John Van Reenen - 3

Kristin McCue - 3

Bruce Weinberg - 3

Francis Kramarz - 3

David L. Rigby - 3

Carolyn A. Liebler - 3

Fredrik Andersson - 3

Bryce Stephens - 3

Vojislav Maksimovic - 3

Charles Tolbert - 3

Troy Blanchard - 3

Thomas J Holmes - 3

Ali Hortacsu - 3

Yoonsoo Lee - 3

Edward Feser - 3

Timothy Dunne - 3

Timothy Bates - 3

Donald Siegel - 3

Frank R Lichtenberg - 3

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employ - 66

workforce - 66

production - 63

manufacturing - 62

industrial - 58

employed - 58

labor - 58

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earnings - 54

innovation - 50

economist - 49

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investment - 47

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sale - 39

statistical - 39

payroll - 39

entrepreneurship - 37

enterprise - 37

data - 36

export - 36

sector - 34

produce - 31

gdp - 30

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patent - 29

entrepreneur - 29

population - 29

technological - 29

agency - 29

endogeneity - 29

quarterly - 28

economically - 28

census bureau - 26

research - 26

report - 26

respondent - 25

worker - 25

demand - 24

salary - 24

researcher - 24

heterogeneity - 24

acquisition - 23

patenting - 23

metropolitan - 23

estimation - 22

finance - 22

ethnicity - 22

innovative - 22

organizational - 22

import - 22

entrepreneurial - 21

establishment - 21

immigrant - 21

merger - 20

minority - 20

microdata - 20

data census - 20

efficiency - 20

census research - 20

hiring - 19

earner - 19

venture - 19

manufacturer - 19

innovate - 19

exporter - 19

hispanic - 18

aggregate - 18

multinational - 18

employment growth - 18

analysis - 18

study - 18

invention - 17

technology - 17

factory - 17

economic census - 17

research census - 17

financial - 16

housing - 16

spillover - 16

disclosure - 16

ethnic - 16

geographically - 16

profit - 16

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employer household - 16

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regional - 16

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regulation - 16

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corporation - 13

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corporate - 12

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incorporated - 10

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employment estimates - 10

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labor statistics - 10

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aging - 10

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exogeneity - 9

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Viewing papers 131 through 140 of 334


  • Working Paper

    The Annual Survey of Entrepreneurs: An Introduction

    November 2015

    Working Paper Number:

    CES-15-40R

    The Census Bureau continually seeks to improve its measures of the U.S. economy as part of its mission. In some cases this means expanding or updating the content of its existing surveys, expanding the use of administrative data, and/or exploring the use of privately collected data. When these options cannot provide the needed data, the Census Bureau may consider fielding a new survey to fill the gap. This paper describes one such new survey, the Annual Survey of Entrepreneurs (ASE). Innovations in content, format, and process are designed to provide high-quality, timely, frequent information on the activities of one of the important drivers of economic growth: entrepreneurship. The ASE is collected through a partnership of the Census Bureau with the Kauffman Foundation and the Minority Business Development Agency. The first wave of the ASE collection started in fall of 2015 (for reference period 2014) and results will be released in summer 2016. Qualified researchers on approved projects will be able to access micro data from the ASE through the Federal Statistical Research Data Center (FSRDC) network.
    View Full Paper PDF
  • Working Paper

    How Does Labor Market Size Affect Firm Capital Structure? Evidence from Large Plant Openings

    November 2015

    Authors: Hyunseob Kim

    Working Paper Number:

    CES-15-38

    I examine how the labor market in which firms operate affects their capital structure decisions. Using the US Census Bureau data, I exploit a large plant opening as an abrupt increase in the size of a local labor market. I find that a new plant opening leads to a 2.6% to 3.9% increase in the debt-to-capital ratio of existing firms in the 'winner' county relative to the 'runner-up' choice. This result is consistent with larger labor markets making a job loss less costly, which in turn reduces indirect costs of financial distress. Moreover, this spillover effect is larger for firms 1) that have a larger fraction of employees in the affected county, 2) that employ the same type of workers as the new plant, and 3) that have larger unexploited benefits of debt.
    View Full Paper PDF
  • Working Paper

    Spillovers from Immigrant Diversity in Cities

    November 2015

    Working Paper Number:

    CES-15-37

    Using comprehensive longitudinal matched employer-employee data for the U.S., this paper provides new evidence on the relationship between productivity and immigration spawned urban diversity. Existing empirical work has uncovered a robust positive correlation between productivity and immigrant diversity, supporting theory suggesting that diversity acts as a local public good that makes workers more productive by enlarging the pool of knowledge available to them, as well as by fostering opportunities for them to recombine ideas to generate novelty. This paper makes several empirical and conceptual contributions. First, it improves on existing empirical work by addressing various sources of potential bias, especially from unobserved heterogeneity among individuals, work establishments, and cities. Second, it augments identification by using longitudinal data that permits examination of how diversity and productivity co-move. Third, the paper seeks to reveal whether diversity acts upon productivity chiefly at the scale of the city or the workplace. Findings confirm that urban immigrant diversity produces positive and nontrivial spillovers for U.S. workers. This social return represents a distinct channel through which immigration generates broad-based economic benefits.
    View Full Paper PDF
  • Working Paper

    The Human Factor in Acquisitions: Cross-Industry Labor Mobility and Corporate Diversification

    September 2015

    Working Paper Number:

    CES-15-31

    Internal labor markets facilitate cross-industry worker reallocation and collaboration, and the resulting benefits are largest when the markets include industries that utilize similar worker skills. We construct a matrix of industry pair-wise human capital transferability using information obtained from more than 11 million job changes. We show that diversifying acquisitions occur more frequently among industry pairs with higher human capital transferability. Such acquisitions result in larger labor productivity gains and are less often undone in subsequent divestitures. Moreover, acquirers retain more high skill workers and they exploit the real option to move workers from the target firm to jobs in other industries inside the merged firm. Overall, our results identify human capital as a source of value from corporate diversification and provide an explanation for seemingly unrelated acquisitions.
    View Full Paper PDF
  • Working Paper

    Input Linkages and the Transmission of Shocks: Firm-Level Evidence from the 2011 Tohoku Earthquake

    September 2015

    Working Paper Number:

    CES-15-28

    Using novel firm-level microdata and leveraging a natural experiment, this paper provides causal evidence for the role of trade and multinational firms in the cross-country transmission of shocks. Foreign multinational affiliates in the U.S. exhibit substantial intermediate input linkages with their source country. The scope for these linkages to generate cross-country spillovers in the domestic market depends on the elasticity of substitution with respect to other inputs. Using the 2011 Tohoku earthquake as an exogenous shock, we estimate this elasticity for those firms most reliant on Japanese imported inputs: the U.S. affiliates of Japanese multinationals. These firms suffered large drops in U.S. output in the months following the shock, roughly one-for-one with the drop in imports and consistent with a Leontief relationship between imported and domestic inputs. Structural estimates of the production function for these firms yield disaggregated production elasticities that are similarly low. Our results suggest that global supply chains are sufficiently rigid to play an important role in the cross-country transmission of shocks.
    View Full Paper PDF
  • Working Paper

    Modeling Endogenous Mobility in Wage Determiniation

    June 2015

    Working Paper Number:

    CES-15-18

    We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax the exogenous mobility assumptions by modeling the evolution of the matched data as an evolving bipartite graph using a Bayesian latent class framework. Our results suggest that endogenous mobility biases estimated firm effects toward zero. To assess validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates.
    View Full Paper PDF
  • Working Paper

    Why is Pollution from U.S. Manufacturing Declining? The Roles of Environmental Regulation, Productivity, and Trade

    January 2015

    Working Paper Number:

    CES-15-03R

    Between 1990 and 2008, air pollution emissions from U.S. manufacturing fell by 60 percent despite a substantial increase in manufacturing output. We show that these emissions reductions are primarily driven by within-product changes in emissions intensity rather than changes in output or in the composition of products produced. We then develop and estimate a quantitative model linking trade with the environment to better understand the economic forces driving these changes. Our estimates suggest that the implicit pollution tax that manufacturers face doubled between 1990 and 2008. These changes in environmental regulation, rather than changes in productivity and trade, account for most of the emissions reductions.
    View Full Paper PDF
  • Working Paper

    The Role of Industry Classification in the Estimation of Research and Development Expenditures

    November 2014

    Working Paper Number:

    CES-14-45

    This paper uses data from the National Science Foundation's surveys on business research and development (R&D) expenditures that have been linked with data from the Census Bureau's Longitudinal Business Database to produce consistent NAICS-based R&D time-series data based on the main product produced by the firm for 1976 to 2008.The results show that R&D spending has shifted away from domestic manufacturing industries in recent years. This is due in part to a shift in U.S. payrolls away from manufacturing establishments for R&D-performing firms.These findings support the notion of an increasingly fragmented production system for R&D-intensive manufacturing firms, whereby U.S. firms control output and provide intellectual property inputs in the form of R&D, but production takes place outside of the firms' U.S. establishments.
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  • Working Paper

    None

    September 2014

    Working Paper Number:

    CES-14-35

    This paper presents a novel empirical study of innovation practices of U.S. companies and their relation to productivity levels using new business micro data from the Business Research and Development and Innovation Survey (BRDIS) for the years 2008-2011. We use factor analysis to reduce a set of inputs and outputs of innovation activities into four latent unobserved innovation modes or practices. Companies are grouped according to their scores across the four factors to see that in large, small and medium companies more than one mode of innovation practices prevails. The next step in the analysis links different types of innovation practices to levels of productivity using regression analysis. The innovation modes have a statistically significant positive relation with the level of productivity. The paper demonstrates the possibility of taking into account the multidimensionality of innovation without the use of composite indicators.
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  • Working Paper

    NOISE INFUSION AS A CONFIDENTIALITY PROTECTION MEASURE FOR GRAPH-BASED STATISTICS

    September 2014

    Working Paper Number:

    CES-14-30

    We use the bipartite graph representation of longitudinally linked em-ployer-employee data, and the associated projections onto the employer and em-ployee nodes, respectively, to characterize the set of potential statistical summar-ies that the trusted custodian might produce. We consider noise infusion as the primary confidentiality protection method. We show that a relatively straightfor-ward extension of the dynamic noise-infusion method used in the U.S. Census Bureau's Quarterly Workforce Indicators can be adapted to provide the same confidentiality guarantees for the graph-based statistics: all inputs have been modified by a minimum percentage deviation (i.e., no actual respondent data are used) and, as the number of entities contributing to a particular statistic increases, the accuracy of that statistic approaches the unprotected value. Our method also ensures that the protected statistics will be identical in all releases based on the same inputs.
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