Skip to main content

ASM-I

Import Registry Database

Description

  • Nature: Linkage of the ASM with the Import Registry Database, which, respectively, track the value of commodities imported by establishment and commodity type.
  • Usage: The database can be used to analyze the importing behaviour in manufacturing.
  • Content: The ASM–Import Registry Database includes all records in the ASM and in the Importer Registry.
  • Coverage period: 2002 to 2008

Funded Projects

This project aims to study how the signing of International Investment Agreements (IIAs) changes the structure of Canadian firms that trade and invest in IIA partner countries. The goal is to estimate how the investment protection portion of these agreements impacts Canadian firms’ decision to vertically integrate with its intermediate input suppliers in those countries or to horizontally integrate by expanding to new markets. The key issue is determining how much those agreements affect economic growth in Canada.

Additional dataset: Canadian Direct Investment Abroad (CDIA)

Related Data Sets
ASM-I, NALMF

Related Research Themes
Industry and Firm Analysis, International

All importing firms can then be allocated to one of four bins: two for direct importers(manufacturers and retailers), one for indirect importers (wholesalers) and one for the firms with a mix mode of imports (i.e. acting both as direct and as indirect importers). The relative importance of each of these modes can then be assessed either in terms of firm counts or in terms of import values. The main goal of this project is both to document the importance and characteristics of these bins and to test their main determinants using the case of import values only. The second goal of this project is to examine specific aspects of intermediation within the US/NAFTA context. This is linked to a fundamental aspect of intermediaries: their  advantage over direct importing is more significant for sources involving higher fixed and/or variable barriers to trade.

Data link: T2-Leap combined with import trade data, 2002-2012

Related Data Sets
ASM-I, T2-LEAP

Related Research Themes
International

Related Themes

Incomes

Learn More

Industry and Firm Analysis

Learn More

International

Learn More

Labour Markets

Learn More

Papers and Publications

July, 2018

This study investigates whether the Canada-U.S. Free Trade Agreement (CUSFTA) reduced resource misallocation in Canada. The implementation of CUSFTA can be viewed as a natural experiment, which makes it an ideal setting for estimating the causal effect of trade policy on the misallocation of resources. I perform this estimation using a dynamic panel data model with data from the Canadian Annual Surveys of Manufactures (ASM) for the period from 1980 to 1996. I use tariff rates from Trefler (2004) and measure resource misallocation using the dispersion in revenue total factor productivity (TFP) within industries. I find that CUSFTA did reduce resource misallocation by approximately four percent and, consequently, increased TFP by around four percent in Canada. This increase in TFP translates into a contribution of 23 percent to the overall TFP growth of Canada's manufacturing sector.

Related Data Sets
ASM, ASM-I

Related Research Themes
Industry and Firm Analysis, International

Keywords: Misallocation, Trade policy, CUSFTA, Productivity

JEL Codes: O11, O47, F14, F13

June, 2017

March, 2017

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