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Saving for a stormy day? The Jamaican Government Savings Bank and the precautionary savings motive

Published online by Cambridge University Press:  24 February 2025

Nekeisha Spencer*
Affiliation:
University of the West Indies Mona
Eric Strobl*
Affiliation:
University of Bern and University of Birmingham
*
Nekeisha Spencer, Department of Economics, University of the West Indies Mona, Kingston 7, Jamaica, email: nekeisha.spencer02@uwimona.edu.jm
Eric Strobl (corresponding author), Department of Economics, University of Bern, Hochschulstrasse 6, Bern 3012, Switzerland; University of Birmingham, Birmingham b15 2tt, United Kingdom, email: eastrobl13@gmail.com.
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Abstract

The Government Savings Bank of Jamaica (GSB) was created post-emancipation in order to serve the poor as a vehicle for precautionary savings and has been viewed as largely successful in this goal, at least after its restructuring in the late 1860s. We investigate this by examining GSB depositor behaviour after income shocks due to hurricanes. To this end, we combine digitized parish-level GSB account information with a hurricane damage index generated from historical storm tracks. Our results show little evidence of a precautionary savings motive by GSB account holders in that while net account balances and deposits drop after hurricanes, withdrawals and the number of accounts closed also fall. Additionally, the net decrease in account holders seems not to be driven by small savers, who are likely to be the poorest. Our findings are thus more in line with the GSB potentially being used to finance non-necessary consumption.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2025. Published by Cambridge University Press on behalf of the European Association for Banking and Financial History e.V
Figure 0

Figure 1. Aggregate trends in banking componentsNotes: The figure shows trends in total balance, deposits, withdrawals along with the mean parish-level hurricane index for the sample period.

Figure 1

Table 1. Summary statistics

Figure 2

Table 2. Occupational distribution of GSB account holders and general population

Figure 3

Figure 2. Share of accounts by value of total balanceNotes: The figure shows aggregate trends in the number of accounts by value of the total balance along with the mean parish-level hurricane index for the sample period.

Figure 4

Figure 3. Non-Indian and Indian immigrant banking componentsNotes: The figure shows trends in Indian and non-Indian immigrant total balance and number of accounts along with the parish-level mean hurricane index for the sample period.

Figure 5

Figure 4. Main and sub-branchesNotes: The figure shows trends in Indian and non-Indian immigrant total balance and number of accounts along with the parish-level mean hurricane index for the sample period.

Figure 6

Figure 5. Impact of hurricanes ($\beta _{H_{t-j}}$) on key banking componentsNotes: (i) Values represent estimated$\rm \beta _{H_{t-j}}$; (ii) Confidence bands are 95 per cent.

Figure 7

Figure 6. Impact of hurricanes ( $\beta _{H_{t-j}}$ ) on number of account holdersNotes: (i) Values represent estimated$\rm \beta _{H_{t-j}}$; (ii) Confidence bands are 95 per cent

Figure 8

Figure 7. Impact of hurricanes ( $\beta _{H_{t-j}}$ ) on number of account holders by account total balance valueNotes: (i) Values represent estimated$\rm \beta _{H_{t-j}}$; (ii) Confidence bands are 95 per cent.

Figure 9

Figure 8. Impact of hurricanes ($\beta _{H_{t-j}}$) on Indian immigrants and non-Indian immigrantsNotes: (i) Values represent estimated$\rm \beta _{H_{t-j}}$; (ii) Confidence bands are 95 per cent.

Figure 10

Figure 9. Impact of hurricanes ( $\beta _{H_{t-j}}$ ) on key banking components for main and sub-branchesNotes: (i) Values represent estimated$\rm \beta _{H_{t-j}}$; (ii) Confidence bands are 95 per cent.

Figure 11

Table 3. Comparative impact of income shocks on deposits and withdrawals