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This thesis analysed the effect of female labor force participation rate (FLFPR) on economicgrowth and included changes in male labor force participation rate (MLFPR) to help improve thepower of the model. Here, three robust regressions were used on the sample of 16 Latin Countries(Argentina, Bolivia, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, Guatemala,Honduras, Venezuela, RB, Jamaica, Mexico, Nicaragua, Panama, Paraguay, El Salvador) for theperiod of 1995-2015 in order to identify the effect of each key variable when tested separately andwhen tested together. According to the results, the coefficients of FLFPR and MLFPR are differentand also the addition of MLFPR to the model that has an explanatory variable FLFPR anddependent variable economic growth clearly improves the predicting power of the model and helpsobtain better coefficients. It was also identified that FLFPR has a strong positive relationship witheconomic growth, while MLFPR has a negative effect on the latter. Finally, the existence of u-shape relationship between FLFPR and economic growth was reaffirmed in this thesis, while itwas also shown that MLFPR does not have a u-shape relationship with the economic growth.

The desire to understand and model the complex phenomenon of economic growth has been an old and interesting pursuit. Many such models have been proposed and two of the most prominent canditates are the Solow-Swan and Romer models. This paper investigates the similarities and differences of the a priori mentioned models on a balanced growth path and on a partial transition dynamics - only the capital dynamics - using numerical simulations. Furthermore, the problem of the speed of convergence shall be analyzed and a method for the analysis will be presented. The simulations are investigated by means of different economic scenarios, called experiments, and are used to illustrate the capabilities and incapabilities of each model. The findings of this paper are that both models are adequate for the investigation of economic growth. However, as seen by the mathematical analysis and the experiments, the incapability of the Solow-Swan model to adequately explain the technological growth rate is a strong disadvantage over the more modern Romer model. Furthermore, this paper summarizes the choices of the numerical values - using real world data - which should be used for the variables of the Solow-Swan and Romer models.