Model specification is the process of determining the appropriate form and structure of a statistical model to best represent the relationship between the dependent variable and the independent variables. It is a crucial step in regression analysis, as the model specification directly impacts the interpretation of regression coefficients, such as elasticity and the use of logarithmic transformations.