Data and Code for: Cultural Affinity, Regulation and Market Structure: Evidence from the Canadian Retail Banking Industry

Principal Investigator(s): View help for Principal Investigator(s) Hector Perez Saiz, International Monetary Fund; Hongyu Xiao, Bank of Canada

Version: View help for Version V1

Name	File Type	Size	Last Modified
Data			01/06/2022 02:10:PM
Programs			01/06/2022 02:11:PM
Results			01/06/2022 02:11:PM
README.pdf	application/pdf	186.7 KB	01/06/2022 09:09:AM
changelog.txt	text/plain	585 bytes	01/06/2022 09:09:AM
file-manifest.txt	text/plain	364.9 KB	01/06/2022 09:09:AM

Project Citation:

Perez Saiz, Hector, and Xiao, Hongyu. Data and Code for: Cultural Affinity, Regulation and Market Structure: Evidence from the Canadian Retail Banking Industry. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-01-25. https://doi.org/10.3886/E127161V1

Project Description

Summary:

We estimate a perfect information static entry game to study the effect of cultural entry

barriers on entry and competition in the retail banking industry. Canada provides a favorable setting for analysis due to its high linguistic diversity, concentrated market, and regulatory entry barriers. We find that cultural affinity between customers and financial institutions that share a common cultural origin plays an important role in explaining the comparative advantages of these institutions in certain markets. Using several counterfactual experiments and additional empirical evidence, we show that the effectiveness of regulations intended to foster competition are significantly limited by cultural barriers, which is a key determinant that shapes the competitive landscape of the industry.

Scope of Project

Subject Terms: Commercial banks

JEL Classification:
      G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
      G28 Financial Institutions and Services: Government Policy and Regulation
      L13 Oligopoly and Other Imperfect Markets
      L51 Economics of Regulation

Geographic Coverage: Canada

Time Period(s): 2006 – 2006

Collection Date(s): 1/10/2013 – 6/20/2014; 1/10/2018 – 6/10/2020

Universe: 1. Census subdivisions in Canada
2. Main financial institutions in Canada
3. Employees of main financial institutions in Canada, by category

Data Type(s): census/enumeration data; geographic information system (GIS) data; survey data

Collection Notes: Part of the data has been manually collected by the authors.

Methodology

Response Rate: For census subdivisions data, Statistics Canada collects information for the entire universe of census subdivisions in Canada. The authors only use small and rural census subdivisions.

For job offers data, the authors manually compile and identify language requirements from all job postings for customer-facing employees of all Canadian financial institutions on

a major Canadian job search website (ca.indeed.com).

Table 1 uses a sample of 12,000 households per year, compiled by Ipsos Reid for the Canadian Financial Monitor data base (CFM).

Sampling: For census subdivisions data, the authors select subdivisions that have between 200 and 250,000 inhabitants, that are separated by at least 10 km, and eliminate those located less than 30 km away from any major urban center.

Data Source: 1. Census , geographic information, and other information from Statistics Canada
2. Financial Services Canada
3. Office of the Superintendent of Financial Institutions
4. Canadian Financial Monitor (Ipsos Reid)
5. Job postings from Indeed.com
6. BoardEx data base from WRDS
7. Online service NamePrism
8. Bank directory Canada (1972 edition)

Collection Mode(s): mail questionnaire; other; record abstracts

Unit(s) of Observation: Individuals (job listings), Census subdivisions, Households

Geographic Unit: Individuals (job listings)

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Published Versions

V1 [2022-01-25]

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