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TEC

Trade by Exporter Characteristics

Description

  • Nature: Provides aggregate information on the number of exporting enterprises in Canada by industry and the value of exports attributable to these exporting enterprises.
  • Usage: Used to identify exporters, the declaring unit, and to link to the exporter in the Business Register, regardless of their status (location, company, establishment, enterprise).
  • Content: By identifying exporters captured by merchandise trade data within the Statistics Canada Business Register (BR), the information contained in the export records can be linked to the information available for the enterprise in the BR, namely business characteristics such as industry engaged in exporting (according to the NAICS of the exporting enterprise), therefore creating profiles of exporting enterprises. 
  • Period: 2013-2016

For more information, please visit Statistics Canada (external link)

Funded Projects

In economic models of trade, it is stated that firms that are more productive will export, while those that are less productive will sell products domestically, or completely exit the market. However, differences in productivity alone cannot explain why some firms export, and some do not. One aspect that may limit a firms international trading opportunities is a lack of information regarding such opportunities, or a lack of assurance that trading agreements will not be honoured. Members of migrant networks may play a role in overcoming such barriers by acting as mediator between the firm and potential trading partner. The objective of this research is to (1) determine the relationship between firms that export and the composition of their employees, and (2) how the Canadian immigration policy has shaped a firm’s ability to export. Specifically, this paper will explore if firms with foreign-born workers are more likely to export, if firms make hiring decisions based on the possibility of exporting, and if there is any evidence to suggest firms hire foreign-born workers to mitigate the information barriers discussed above.

Ananth Ramanarayanan is an Assistant Professor at Western University.

Related Data Sets
CEEDD, TEC

Related Research Themes
Industry and Firm Analysis, International

The CDER firm data will be studied to estimate how long top productive firms tend to stay highly productive and what their productivity level tends to be before (and potentially after) they are at the top end of the productivity distribution. Also being examined is whether changes in firm productivity have different dynamics depending upon whether such changes are negative versus positive, or small versus large. This project could influence most modern macroeconomic models, which tend to embed very simple dynamic processes.

Related Data Sets
NALMF, TEC

Related Research Themes
Industry and Firm Analysis

Related Themes

Industry and Firm Analysis

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International

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Papers and Publications

June, 2017

March, 2017

Related Data Sets
CEEDD, TEC

Related Research Themes
Industry and Firm Analysis, International

Keywords: RDC, CDER

Presented at Data Day

Related Data Sets
ASM, ASM-I, CBSA Customs, CEEDD, CIP, CFA, LEAP, LWF, NALMF, SFSME, SIBS, T2-LEAP, TEC, WES

Related Research Themes
Incomes, Industry and Firm Analysis, International, Labour Markets

Presented at Data Day

Author(s)

Natalie Goodwin, Statistics Canada RDC Analyst, Western University RDC

Related Data Sets
ASM, ASM-I, CBSA Customs, CEEDD, CFA, CIP, LEAP, LWF, NALMF, SFSME, SIBS, T2-LEAP, TEC, WES

Related Research Themes
Incomes, Industry and Firm Analysis, International, Labour Markets

Keywords: RDC

Presented at Data Day

Outline

Accessing business microdata for research purposes at the Canadian Centre for Data Development and Economic Research (CDER) at Statistics Canada

  • CDER basics
  • Data sets available for access to CDER
  • Application process
  • Future directions
  • Other information

Related Data Sets
ASM, ASM-I, CBSA Customs, CEEDD, CFA, CIP, LEAP, LWF, NALMF, SFSME, SIBS, T2-LEAP, TEC, WES

Related Research Themes
Incomes, Industry and Firm Analysis, International, Labour Markets

Keywords: CDER; microdata; data access

Presented at Data Day

May, 2015

Author(s)

Kim P. Huynh works at the Bank of Canada

Related Data Sets
ASM, ASM-I, CBSA Customs, CEEDD, CFA, CIP, LEAP, LWF, NALMF, SFSME, SIBS, T2-LEAP, TEC, WES

Related Research Themes
Incomes, Industry and Firm Analysis, International, Labour Markets

Keywords: CDER; proposal; microdata

JEL Codes: Y9

November, 2012