Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/197881 
Year of Publication: 
2018
Series/Report no.: 
Bank of Canada Staff Working Paper No. 2018-28
Publisher: 
Bank of Canada, Ottawa
Abstract: 
This paper proposes a new bootstrap procedure for mean squared errors of robust smallarea estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite sample performance through Monte Carlo simulations. The results show that our procedure performs well and outperforms existing ones. We also apply our procedure to the estimation of the total volume and value of cash, debit card and credit card transactions in Canada as well as in its provinces and subgroups of households. In particular, we find that there is a significant average annual decline rate of 3.1 percent in the volume of cash transactions, and that this decline is relatively higher among highincome households living in heavily populated provinces. Our bootstrap estimator also provides indicators of quality useful in selecting the best small-area predictors from among several alternatives in practice.
Subjects: 
Econometric and statistical methods
Bank notes
JEL: 
C13
C15
C83
E
E41
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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