In the forbes article, kotlikoff explains that saving and investing decisions should be guided by strategies that maximize expected utility.
Saving can mean a variety of things to various people. Some believe that it requires making a bank deposit. Investing in stocks or making contributions to a retirement plan are some more definitions. Conversely, according to economists, saving is the act of using less of a specific amount of resources today in order to consume more later. So, the choice to delay consumption and put that delayed consumption in an asset is what is meant by saving.
Saving is either deferred consumption or revenue that is not spent. Putting money aside in various accounts, such as a savings account, a pension account, an investment fund, or in cash, counts as a saving strategy. In order to save, expenses like recurrent charges must be reduced.
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Answer:
The money in the 401(k) account is not taxed until withdrawn.
Explanation:
A 401 (k) can be defined as a type of compensation (savings) plan that is being sponsored by a business firm or company (employer) to avail its employees the opportunity to contribute into. As a company-sponsored and defined-contribution retirement savings plan, it offers tax advantages to the employees because it reduces their income tax for the particular year while taxing their withdrawals.
A good reason to contribute to a 401 (k) retirement account is that, the money in the 401 (k) account is not taxed until withdrawn. Thus, the money contributed by an employee to a 401 (k) will maintain its tax-deferred status until he or she withdraws it.
For example, a 401 (k) would be the best retirement savings option for a 50-year old medical doctor whose employer offers a 5% contribution match.
The answer is<u> "2. cluster sampling."</u>
Cluster sampling alludes to a kind of sampling technique . With cluster sampling, the scientist partitions the populace into isolated gatherings, called groups. At that point, a basic random sample of clusters is chosen from the populace. The analyst leads his investigation on information from the inspected clusters.
Contrasted with simple random sampling and stratified sampling, cluster sampling has points of interest and disservices. For instance, given equivalent example sizes, group testing normally gives less accuracy than either simple random sampling or stratified sampling. Then again, if travel costs between clusters are high, cluster sampling might be more practical than alternate strategies.
