Business Dynamics of Globally Engaged Firms Fariha Kamal J. Bradford - - PowerPoint PPT Presentation

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Business Dynamics of Globally Engaged Firms Fariha Kamal J. Bradford - - PowerPoint PPT Presentation

Business Dynamics of Globally Engaged Firms Fariha Kamal J. Bradford Jensen U.S. Census Bureau Georgetown University and U.S. Census Bureau FESAC June 9, 2017 Disclaimer Any opinions and conclusions expressed herein are those of the authors and do


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Business Dynamics of Globally Engaged Firms

FESAC June 9, 2017

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Disclaimer Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed.

Fariha Kamal

U.S. Census Bureau

  • J. Bradford Jensen

Georgetown University and U.S. Census Bureau

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Business Dynamics Statistics

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Source: Haltiwanger, Jarmin, Miranda (2013)

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Business Dynamics Statistics: Background

  • BDS (https://www.census.gov/ces/dataproducts/bds/)

– Provides annual measures of business dynamics (such as job creation and destruction, establishment births and deaths, and firm startups and shutdowns) for the economy and aggregated by establishment and firm characteristics.

  • Joint project between Research & Methodology and Economic Programs

– Currently available: 1976‐2014

  • Selected research output

– Decker, Haltiwanger, Miranda (2014; 2016); Haltiwanger, Jarmin, Miranda (2013); Fort, Haltiwanger, Jarmin, Miranda (2013)

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Broad Motivating Questions

  • Outsized role of globally engaged firms in the U.S. economy
  • Bernard, Jensen, Redding Schott (2007; 2016), Bernard, Jensen, Schott (2009),

Antràs & Yeaple (2014)

  • Labor market consequences of globalization
  • Import competition: Autor, Dorn, Hanson (2013), Pierce & Schott (2016),

Bernard, Jensen, Schott (2006)

  • Offshoring: Harrison & McMillan (2011); Hummels, Jorgensen, Munch,

Xiang (2014), Hummels, Munch, Xiang (2016), Mion & Zhu (2013), Panadalai‐ Nayar, Boehm, Flaaen (2016), Kamal and Lovely (2017)

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Business Dynamics Statistics of Globally Engaged Firms

  • BDS‐Exporting Firms

– Export merchandise transactions‐firm linked microdata (LFTTD)

  • BDS‐Importing Firms

– Import merchandise transactions‐firm linked microdata (LFTTD)

  • BDS‐Multinational Firms

– Identify multinational firms using BEA surveys (Multinational Crosswalk)

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The Business Dynamics Statistics of U.S. Goods Trading Firms

  • Microdata links
  • Confidential linked firm‐trade transactions microdata (LFTTD)
  • Improve upon previous research output (Bernard, Jensen, Schott, 2009)
  • Data outputs
  • LFTTD: Accessible through the U.S. Federal Statistical Research Data

Center network (currently available: 1992‐2014)

  • Planned public use BDS of U.S. Trading Firms
  • Tabulations
  • Visualizations

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Merchandise Trade Transaction‐Firm Match

7 LFTTD Import and Non‐ Canadian Export Transactions Business Register Name Canadian Export Transactions EIN LFTTD Longitudinal Business Database BDS of Trading Firms After various aggregations Firm ID

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MNC‐Firm Match

8 Multinational Crosswalk BE‐10/BE‐11 Business Register EIN, Name, Address BE‐12/BE‐15 Multinational Crosswalk Longitudinal Business Database BDS of Multinationals After various aggregations Firm ID

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Proposed Statistics: Proposed Tables:

Counts (total, entrants, exiters) Economy‐wide

  • Firms
  • Establishments
  • Employment

Firm age Firm size Sector State Job creation

  • Births
  • Incumbents

Job destruction

  • Deaths
  • Incumbents

By Exporter, Importer, Multinational

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Selected Statistics for Goods Exporters

All calculations based on beta version; Revisions expected.

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Share of Firms and Employment

Average 2001‐2011

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0.00 0.20 0.40 0.60 0.80 1.00

Exporter Non Exporter Firms Employment

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Share of Exporting Firms

By Firm Size, Average 1992‐2011

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0.01 0.02 0.04 0.07 0.12 0.18 0.25 0.34 0.43 0.55 0.62 0.71 0.03

2001 ‐ 2011

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Percent of Exporting Establishments

By SIC, Average 2001‐2011

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0.006 0.034 0.005 0.187 0.036 0.167 0.015 0.008 0.010 0.000 0.020 0.040 0.060 0.080 0.100 0.120 0.140 0.160 0.180 0.200

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Gross Job Creation and Destruction

By Exporting Status and Firm Age, Average 2001‐2011

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Job Creation Rate Job Destruction Rate

0.05 0.1 0.15 0.2 0.25 0.3 0.35 b) 1 c) 2 d) 3 e) 4 f) 5 g) 6 to 10 h) 11 to 15 i) 16 to 20 j) 21 to 25 k) 26+ l) Pre 1976 Exporter Non Exporter 0.05 0.1 0.15 0.2 0.25 0.3 0.35 b) 1 c) 2 d) 3 e) 4 f) 5 g) 6 to 10 h) 11 to 15 i) 16 to 20 j) 21 to 25 k) 26+ l) Pre 1976 Exporter Non Exporter

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Net Job Creation

By Exporting Status, Manufacturing

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Important Challenges

  • Representativeness

– Unmatched transactions – Improve coverage of low‐value merchandise traders

  • Identification of all traders

– Trade in services

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Composition of U.S. Labor Force, 2012

Business Services 24% Personal Services 27% Wholesale trade 4% Retail trade 11% Transportation and warehousing 3% Government 16% Manufacturing 8% Construction 4% Mining 1% Utilities 0% Agriculture 2%

Source: 2012 Economic Census and Census of Governments

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Service Sector: Overview

  • Service sector historically relatively poorly measured

– Historically under‐classified – No measure of capital stock – No measure similar to production/non‐production workers

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Construction 5% Wholesale trade 5% Retail trade 12% Transportation and warehousing 3% Federal Government 2% State and Local Government 12% Utilities 0% Mining & Ag. 1% Manufacturing 10% Business Services 25% Personal Services 25%

Source: 2007 Economic Census, Census of Governments and 2006 Occupational Employment Survey

470 6‐digit NAICS codes 28,000 workers/industry FY 2009 $17.8M $60/establishment Capital and skill measures at establishment level 10,000 HS categories $38M at Census $10M at DHS 47 Services categories $14M at BEA 325 6‐digit NAICS Codes 208,000 workers/industry FY 2009 $39.9M $9/establishment No measures of inputs at establishment level

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Trade in Services: Coverage

  • Service sector trade relatively poorly measured

– 10,000 HS codes vs. 47 service trade categories – Administrative system (transaction) vs. survey collection (firm) – Higher exemption levels

  • Cut‐off for goods transactions: $2,500
  • Cut‐off for trade in services reporting: If total transactions in any of the

categories exceeded $2 million for receipts or $1 million for payments, the U.S. person is required to provide detailed information by type of service and by country.

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Trade in Services: Collection System

  • Multiple collection systems for services trade data

– BEA Trade in Services (2006 – on‐going)

  • Firm level, measure of service activity traded, imports and exports

– Economic Census (1992 – on‐going)

  • Select industries, establishment level, industry exporting, no imports

– Company Organization Survey (2006)

  • Enterprise level exporting and importing
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Trade in Services: Collaborative Efforts

  • Joint BEA‐Census project to investigate feasibility of combining

various measures of services trade to incorporate in BDS‐Exporting Firms and BDS‐Importing Firms

– BEA trade in services surveys 2007 – Economic Census 2007 – Company Organization Survey (2006 special supplement)

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Trade in Services: Suggestions

  • Collect capital data for service industries at establishment level in

Economic Census

  • Collect exempt/non‐exempt break‐outs of employment at establishment

level in Economic Census

  • Collect imports and exports of services at establishment level across all

industries in Economic Census

  • Explore expanded coordination between BEA and Census on trade in

services collection

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Representativeness

  • Unmatched transactions

– Probabilistic matching methods being explored

  • Coverage of “Small” Traders

– Low value transactions are not covered in customs records

  • Potential collaborators: Small package courier companies (e.g. FedEX, UPS)
  • Variables to be collected: mailing addresses (domestic and foreign)
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Questions for FESAC

  • How to improve representativeness?

– Unmatched transactions – Improve coverage of low‐value merchandise traders

  • How to improve identification of all traders?

– Using existing trade in services data – Future trade in services data collection efforts