Skip to main content

LEAP

Longitudinal Employment Analysis Program

Description

  • Nature: Longitudinal administrative database of enterprises.
  • Usage: The database can be used to support research on employment dynamics. It is the primary source for studies on employment creation and destruction in Canada. The longitudinal nature of LEAP allows entry and exit times to be measured with precision. Entrants (or 'births') in any given year are firms that have current payroll data, but that did not have payroll data in the previous year. Similarly, exits (or 'deaths') in any given year are identified by the absence of current payroll data, where such data had existed in the previous year.
  • Content: Employment and payroll information for each employer business in Canada.
  • Coverage period: 1991 to 2012.

Funded Projects

This project looks at the employment growth of firms in Canada. The analysis emphasizes that differences occur across firms. These differences relate to the size and age of a firm, along with industry and annual conditions. The purpose of the project is to capture, examine and determine the relative importance of the impact of size, age, industry and year on firm growth.

Related Data Sets
LEAP

Related Research Themes
Industry and Firm Analysis

Related Themes

Industry and Firm Analysis

Learn More

Papers and Publications

May, 2020

     Data on businesses collected by statistical agencies are challenging to protect. Many businesses have unique characteristics, and distributions of employment, sales, and profits are highly skewed. Attackers wishing to conduct identication attacks often have access to much more information than for any individual. As a consequence, most disclosure avoidance mechanisms fail to strike an acceptable balance between usefulness and condentiality protection. Detailed aggregate statistics by geography or detailed industry classes are rare, public-use microdata on businesses are virtually inexistant, and access to condential microdata can be burdensome. Synthetic microdata have been proposed as a secure mechanism to publish microdata, as part of a broader discussion of how to provide broader access to such datasets to researchers.

     In this article, we document an experiment to create analytically valid synthetic data, using the exact same model and methods previously employed for the United States, for data from two dierent countries: Canada (Longitudinal Employment Analysis Program (LEAP)) and Germany (Establishment History Panel (BHP)). We assess utility and protection, and provide an assessment of the feasibility of extending such an approach in a cost-eective way to other data.

Author(s)

M. Jahangir Alam, Benoit Dostie, Jörg Drechsler, Lars Vilhuber

Related Data Sets
LEAP

Related Research Themes
Industry and Firm Analysis, International

Keywords: synthetic data; longitudinal business data; transferability of methods; confidentiality protection

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