This thesis deals with the influence of waves of migration in the European Union in 2014 and 2015 to change the capital. Specifically, the one-time change of capital in terms of effective labor. This objective has been addressed in the Solow model by adopting the method of fixed effects. Panel data used for the calculation was collected from the database of the World Bank, Eurostat and the Organisation for Economic Co-operation and Development (OECD). Based on the obtained data it was not possible to demonstrate the influence current migration wave to the capital change effective labor because of the absence of data for the last two years. For this reason, efforts were made to verify some quantitative conclusions Solow model on the resultant data set. Based on the results obtained for the use of data, we can say that we managed to confirm some conclusions about the growth factors and the influence of individual variables Solow model. Another finding relates to the inability to examine the potential economic effects of the current migration wave to the absence of data in recent years.

This diploma thesis has an ambition to evaluate the nominal, real and structural convergence process of the Visegrad group (also known as V4) countries to the euro area. It also discusses theoretical and methodological issues relating to this process. The first part of this paper deals with some theories which has just started to work with the concept of convergence and were imaginary springboard for the development of other theories. It analyses the Solow growth model that assume convergence between developed and developing countries. This chapter offers a general overview of real convergence measurement, which will be used by evaluation of convergence or divergence process in the V4 countries. We will not observe only the progress of real convergence. In the second part of this thesis we will also examine the nominal convergence trough the price level growth and development of inflation in comparison to the euro area. Next part focuses on identifying relationship between real and nominal convergence due to Balassa-Samuelson effect. The optimum currency area and selected structural parameters of the convergence process will be subject of the final part of this thesis, which will complete our observations of the real, nominal and structural convergence in the V4 countries.

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 middle-income trap (MIT) theory has gained popularity amongst policy makers looking to avoid the trap since it first arose in 2005. Multiple studies discuss the possible existence of the trap, what it is caused by and what possible solutions it might have. We use the empirical definition of the trap presented by Aiyar et al. (2018) to test for the middle-income trap in order to analyze the effect that international trade, defined by import and export, may have on the MIT. The Arellano-Bond estimator and random-effects probit model are used on data from the Penn World Data Table 9.1 to carry out this investigation. Based on our dataset we generate results slowdowns that give evidence to the MIT and find that import has a negative effect on a country’s risk of landing in an MIT whereas export has a positive effect on the risk.

The efficiency of physical capital accumulation plays a critical role for economic growth. This paper aims at examine if economic freedom promotes economic growth via physical capital accumulation. This is done by estimating a production function by replacing the inputs with institutional indices. The first input is GDP per capital growth rate which serve as a proxy for institutional aspects and the other input are the economic freedom indexes which will serve as proxies for physical capital accumulation. This is done by applying the augmented mean group (AMG) estimator that is designed for dealing with macro panel data analysis, including twenty developing countries where the economies have experienced a rapid growth, and the time period are between 1995 and 2017. The theoretical framework is based on the Solow growth model, institutional theory and marginal efficiency of capital (MEC). The results show that economic freedom promotes economic growth via physical capital accumulation where GDP per capital growth rate served as a proxy for institutional aspects and economic freedom indexes as proxies for physical capital accumulation. The results also show that the AMG estimator is the best fit for macro panel data analysis since it are designed for dealing with heterogeneity.

No description available.

The purpose of this study is to find out the effect of government spending on capital investments in the American Recovery and Reinvestment Act (ARRA) of 2009 on GDP and employment growth. This research utilized US quarterly data from 2003 QI to 2013 QII. In the first part the research used variables from the Keynes economic model and utilized two-stage least square analysis to assess the effect of government spending on GDP. The results from the regression analysis indicate that an increase of one dollar in government spending increases GDP by 1.569 dollars. The researcher found that the general government spending multiplier was 1.9. The coefficient for government spending in the Recovery Act was 0.383, implying that for every one dollar in government spending, Recovery Act spending on capital investments contributed 0.383 dollars. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection

The theory of economic growth predicts that poorer regions will eventually converge towards the income level of the wealthier regions (Barro & Sala-i-Martin, 2004). The aim of this Bachelor thesis is to establish if absolute convergence in Gross Regional Product (GRP) growth rates exists across LA-regions in Sweden during the period 1994-2004. The variables used in the model of absolute convergence are; the level of initial GRP per capita in the year 1994 and the growth rate of GRP per capita. The authors of this thesis find support of absolute convergence among Swedish LA-regions of 1.67 percent per year. Convergence estimations are also performed for high-, mid-, and low-performing groups of regions in respect to their income level per capita. The low-performing group of regions is in fact converging faster towards the income level of the wealthier regions in Sweden than the mid- and high-performing group. Alternative measurement of convergence is the so called sigma-convergence. The authors find that it only holds for the group of high-performing regions. However, this measurement cannot be considered reliable, as the existence of absolute convergence is necessary for sigma-convergence, but it is not sufficient. / Ekonomisk tillväxtteori förutspår att fattigare regioner med tiden kommer att konvergera mot samma inkomst nivå som rikare regioner har (Barro & Sala-i-Martin, 2004). Syftet med denna Kandidatuppsats är undersöka ifall det förekommer betingad konvergenstillväxt av Brutto Regional Produkt (BRP) nivåer mellan svenska LA-regioner under perioden 1994-2004. Variablerna som används i modellen för betingad konvergens är den ursprungliga nivån av BRP per capita under år 1994, och tillväxtnivån av BRP per capita under perioden 1994-2004. Författarna av denna uppsats har funnit stöd för betingad konvergens bland svenska LA-regioner med en konvergenstakt på 1,67 procent per år. En estimering av konvergens är därtill utförd för hög-, mellan- och lågpresterande grupper av regioner med respekt till deras inkomstnivå per capita. Den lågpresterande gruppen har en snabbare konvergeringstakt mot den inkomstnivå de rikare regionerna i Sverige har, än vad de mellan- och högpresterande grupperna. Ett alternativt mått på konvergens är den så kallade sigma-konvergensen. Författarna finner att detta mått endast håller för gruppen av högpresterande regioner. Emellertid kan inte detta mått räknas som tillförlitligt, då förekomsten av betingad konvergens är nödvändigt för sigma-konvergens, men det är inte tillräckligt.

<p>The theory of economic growth predicts that poorer regions will eventually converge towards the income level of the wealthier regions (Barro & Sala-i-Martin, 2004). The aim of this Bachelor thesis is to establish if absolute convergence in Gross Regional Product (GRP) growth rates exists across LA-regions in Sweden during the period 1994-2004. The variables used in the model of absolute convergence are; the level of initial GRP per capita in the year 1994 and the growth rate of GRP per capita. The authors of this thesis find support of absolute convergence among Swedish LA-regions of 1.67 percent per year. Convergence estimations are also performed for high-, mid-, and low-performing groups of regions in respect to their income level per capita. The low-performing group of regions is in fact converging faster towards the income level of the wealthier regions in Sweden than the mid- and high-performing group. Alternative measurement of convergence is the so called sigma-convergence. The authors find that it only holds for the group of high-performing regions. However, this measurement cannot be considered reliable, as the existence of absolute convergence is necessary for sigma-convergence, but it is not sufficient.</p> / <p>Ekonomisk tillväxtteori förutspår att fattigare regioner med tiden kommer att konvergera mot samma inkomst nivå som rikare regioner har (Barro & Sala-i-Martin, 2004). Syftet med denna Kandidatuppsats är undersöka ifall det förekommer betingad konvergenstillväxt av Brutto Regional Produkt (BRP) nivåer mellan svenska LA-regioner under perioden 1994-2004. Variablerna som används i modellen för betingad konvergens är den ursprungliga nivån av BRP per capita under år 1994, och tillväxtnivån av BRP per capita under perioden 1994-2004. Författarna av denna uppsats har funnit stöd för betingad konvergens bland svenska LA-regioner med en konvergenstakt på 1,67 procent per år. En estimering av konvergens är därtill utförd för hög-, mellan- och lågpresterande grupper av regioner med respekt till deras inkomstnivå per capita. Den lågpresterande gruppen har en snabbare konvergeringstakt mot den inkomstnivå de rikare regionerna i Sverige har, än vad de mellan- och högpresterande grupperna. Ett alternativt mått på konvergens är den så kallade sigma-konvergensen. Författarna finner att detta mått endast håller för gruppen av högpresterande regioner. Emellertid kan inte detta mått räknas som tillförlitligt, då förekomsten av betingad konvergens är nödvändigt för sigma-konvergens, men det är inte tillräckligt.</p>

This paper uses data for 255 NUTS-2 European regions over the period 1995-2003 to test the relative explanatory performance of two important rival theories seeking to explain variations in the level of economic development across regions, namely the neoclassical model originating from the work of Solow (1956) and the so-called Wage Equation, which is one of a set of simultaneous equations consistent with the short-run equilibrium of new economic geography (NEG) theory, as described by Fujita, Krugman and Venables (1999). The rivals are non-nested, so that testing is accomplished both by fitting the reduced form models individually and by simply combining the two rivals to create a composite model in an attempt to identify the dominant theory. We use different estimators for the resulting panel data model to account variously for interregional heterogeneity, endogeneity, and temporal and spatial dependence, including maximum likelihood with and without fixed effects, two stage least squares and feasible generalised spatial two stage least squares plus GMM; also most of these models embody a spatial autoregressive error process. These show that the estimated NEG model parameters correspond to theoretical expectation, whereas the parameter estimates derived from the neoclassical model reduced form are sometimes insignificant or take on counterintuitive signs. This casts doubt on the appropriateness of neoclassical theory as a basis for explaining cross-regional variation in economic development in Europe, whereas NEG theory seems to hold in the face of competition from its rival. (authors' abstract)