Overlapping vs Non-overlapping returns

Suppose I want to estimate the following regression: $$R_t=\alpha + \beta X_{t-1} +\epsilon_t$$. Where I use asset returns as the dependent variable. Both overlapping as well as non-overlapping returns can be used as the dependent variable. Which considerations do you have to make to choose between these two? What are the advantages and disadvantages of both approaches?