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Saving Patterns and Probability of Success in Individual ...

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<strong>Sav<strong>in</strong>g</strong> <strong>Patterns</strong> <strong>and</strong> <strong>Probability</strong> <strong>of</strong> … 3<br />

1- Introduction:<br />

The importance <strong>of</strong> regularity <strong>in</strong> sav<strong>in</strong>g patterns <strong>and</strong> its effect on chang<strong>in</strong>g savers’ behaviors <strong>in</strong><br />

IDA programs is a topic that has attracted much attention <strong>in</strong> recent years. 1 This issue not only<br />

affects the design <strong>of</strong> a successful program, but also is <strong>of</strong> relevance <strong>in</strong> the analysis <strong>of</strong> program<br />

costs. While there is some level <strong>of</strong> unanimity among IDA practitioners about the importance <strong>of</strong><br />

regularity <strong>in</strong> chang<strong>in</strong>g the behavior <strong>of</strong> low-<strong>in</strong>come savers, the jury is still out on the issue <strong>of</strong> what<br />

exactly results <strong>in</strong> this change. 2<br />

Many recent studies focus on the demographic attributes <strong>of</strong> savers such as age, ethnicity, sex,<br />

<strong>and</strong> marital status <strong>and</strong> their impact on sav<strong>in</strong>gs outcomes. In a series <strong>of</strong> articles, researchers,<br />

mostly from the Center for Social Development at the University <strong>of</strong> Wash<strong>in</strong>gton <strong>in</strong> St. Louis,<br />

have studied the IDA sav<strong>in</strong>gs outcomes us<strong>in</strong>g data from the American Dream Demonstration<br />

(ADD) project <strong>in</strong> Tulsa, Oklahoma. For example, Curley <strong>and</strong> Gr<strong>in</strong>ste<strong>in</strong>-Weiss (2003), studied the<br />

rural-urban sav<strong>in</strong>gs performance <strong>and</strong> concluded that Caucasians were among the least sav<strong>in</strong>g <strong>of</strong><br />

most ethnic groups <strong>in</strong> both the rural <strong>and</strong> urban areas. In analyz<strong>in</strong>g the behavior <strong>of</strong> the microenterprise<br />

IDA savers, Ssewamala <strong>and</strong> Sherraden (2004) concluded that while level <strong>of</strong> education,<br />

<strong>in</strong>come <strong>and</strong> ownership <strong>of</strong> other assets positively <strong>in</strong>fluenced sav<strong>in</strong>gs <strong>in</strong> micro-enterprise IDAs,<br />

number <strong>of</strong> children <strong>in</strong> the household had a negative impact on sav<strong>in</strong>gs outcomes among this<br />

group. This result was partly corroborated by Gr<strong>in</strong>ste<strong>in</strong>-Weiss <strong>and</strong> Ssewamala (2005). They<br />

recognized that the cost <strong>of</strong> rais<strong>in</strong>g children was a factor that impacted sav<strong>in</strong>gs outcomes <strong>in</strong> an<br />

adverse fashion, but partly <strong>of</strong>fsett<strong>in</strong>g that hypothesis, their analysis also confirmed the relevance<br />

<strong>of</strong> the <strong>in</strong>stitutional view <strong>of</strong> sav<strong>in</strong>gs. Us<strong>in</strong>g a Hierarchical OLS regression model, they concluded<br />

that proper <strong>in</strong>stitutions led to <strong>in</strong>creased sav<strong>in</strong>gs levels even among households with children.<br />

3

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