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Papers Containing Keywords(s): 'innovate'

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Longitudinal Business Database - 19

National Science Foundation - 19

North American Industry Classification System - 15

Patent and Trademark Office - 11

Census Bureau Disclosure Review Board - 11

Federal Statistical Research Data Center - 11

Center for Economic Studies - 10

Disclosure Review Board - 9

Business Research and Development and Innovation Survey - 9

Annual Survey of Manufactures - 8

Bureau of Labor Statistics - 8

Longitudinal Employer Household Dynamics - 8

Business R&D and Innovation Survey - 7

Cornell Institute for Social and Economic Research - 7

Citizenship and Immigration Services - 7

Survey of Industrial Research and Development - 7

National Bureau of Economic Research - 6

Total Factor Productivity - 6

Economic Census - 6

Annual Business Survey - 6

National Center for Science and Engineering Statistics - 6

Business Register - 6

Business Dynamics Statistics - 5

Bureau of Economic Analysis - 5

Survey of Business Owners - 5

American Community Survey - 5

Annual Survey of Entrepreneurs - 5

Organization for Economic Cooperation and Development - 5

European Union - 5

Standard Industrial Classification - 5

Internal Revenue Service - 4

Ordinary Least Squares - 4

Census of Manufacturing Firms - 4

Survey of Manufacturing Technology - 4

Census Bureau Business Register - 4

Federal Reserve Bank - 4

Chicago Census Research Data Center - 4

Census Bureau Longitudinal Business Database - 3

Current Population Survey - 3

Metropolitan Statistical Area - 3

World Bank - 3

George Mason University - 3

Standard Statistical Establishment List - 3

National Research Council - 3

Computer Network Use Supplement - 3

Information and Communication Technology Survey - 3

Longitudinal Firm Trade Transactions Database - 3

Wal-Mart - 3

Census of Manufactures - 3

Electronic Data Interchange - 3

Longitudinal Research Database - 3

Viewing papers 31 through 33 of 33


  • Working Paper

    Measuring U.S. Innovative Activity

    March 2007

    Authors: B.K. Atrostic

    Working Paper Number:

    CES-07-11

    Innovation has long been credited as a leading source of economic strength and vitality in the United States because it leads to new goods and services and increases productivity, leading to better living standards. Better measures of innovative activities'activities including but not limited to innovation alone'could improve what we know about the sources of productivity and economic growth. The U.S. Census Bureau either currently collects, or has collected, data on some measures of innovative activities, such as the diffusion of innovations and technologies, human and organizational capital, entrepreneurship and other worker and firm characteristics, and the entry and exit of businesses, that research shows affect productivity and other measures of economic performance. But developing an understanding of how those effects work requires more than just measures of innovative activity. It also requires solid statistical information about core measures of the economy: that is, comprehensive coverage of all industries, including improved measures of output and sales and additional information on inputs and purchased materials at the micro (enterprise) level for the same economic unit over time (so the effects can be measured). Filling gaps in core data would allow us to rule out the possibility that a measure of innovative activity merely proxies for something that is omitted from or measured poorly in the core data, provide more information about innovative activities, and strengthen our ability to evaluate the performance of the entire economy. These gaps can be filled by better integrating existing data and by more structured collections of new data.
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  • Working Paper

    An Option-Value Approach to Technology in U.S. Maufacturing: Evidence from Plant-Level Data

    July 2000

    Authors: Adela Luque

    Working Paper Number:

    CES-00-12

    Numerous empirical studies have examined the role of firm and industry heterogeneity in the decision to adopt new technologies using a Net Present Value framework. However, as suggested by the recently developed option-value theory, these studies may have overlooked the role of investment reversibility and uncertainty as important determinants of technology adoption. Using the option-value investment model as my underlying theoretical framework, I examine how these two factors affect the decision to adopt three advanced manufacturing technologies. My results support the option-value model's prediction that plants operating in industries facing higher investment reversibility and lower degrees of demand and technological uncertainty are more likely to adopt advanced manufacturing technologies.
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  • Working Paper

    Technology Usage in U.S. Manufacturing Industries: New Evidence from the Survey of Manufacturing Technology

    October 1991

    Authors: Timothy Dunne

    Working Paper Number:

    CES-91-07

    Using a new dataset on technology usage in U.S. manufacturing plants, this paper describes how technology usage varies by plant and firm characteristics. The paper extends the previous literature in three important ways. First, it examines a wide range of relatively new technologies. Second, the paper uses a much larger and more representative set of firms and establishments than previous studies. Finally, the paper explores the role of firm R&D expenditures in the process of technology adoption. The main findings indicate that larger plants more readily use new technologies, plants owned by firms with high R&D-to-sales ratios adopt technologies more rapidly, and the relationship between plant age and technology usage is relatively weak.
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