Understanding import diversification: an empirical analysis

This paper analyzes import diversification in an aggregated perspective -- Using a dataset for 60 countries covering the period 1995-2010, we study the main determinants of import diversification -- We expect to contribute to the current literature, taking into account that there have been few empirical studies addressing import diversification and more specifically, at the cross-country level -- We take into account variables classified into four categories: Structural factors, macroeconomic factors, international trade factors and political factors -- We find robust evidence that total factor productivity (TFP), capital stock, real Exchange rates and terms of trade are key drivers of import diversification -- On the other hand, domestic consumption and trade openness exert an effect leading to import concentration -- We interpret this finding, taking into account the theoretical framework provided by the international trade and growth theories

Evidence that risk adjustment is unnecessary in estimates of the User cost of money

Investors value the special attributes of monetary assets (e.g., exchangeability, liquidity, and safety) and pay a premium for holding them in the form of a lower return rate -- The user cost of holding monetary assets can be measured approximately by the difference between the returns on illiquid risky assets and those of safer liquid assets -- A more appropriate measure should adjust this difference by the differential risk of the assets in question -- We investigate the impact that time non-separable preferences has on the estimation of the risk-adjusted user cost of money -- Using U.K. data from 1965Q1 to 2011Q1, we estimate a habit-based asset pricing model with money in the utility function and find that the risk adjustment for risky monetary assets is negligible -- Thus, researchers can dispense with risk adjusting the user cost of money in constructing monetary aggregate indexes

Empirical validation of CAPM

This paper pretends to show empirical evidence of the CAPM model of Sharpe-Lintner (1964) for Colombia from 2003 to 2010, whose validation is carried out using the method of Black, Jensen and Scholes (1972) but introducing certain methodological econometric type changes associated to the requirements imposed by the used sample -- Specifically, we found no empirical evidence to reject the CAPM for the Colombian economyin the period under analysis

Long-term relationship between energy consumption and GDP in Latin America: an empirical assessment using panel data

The main objetive of this research is to evaluate the long term relationship between energy consumption and GDP for some Latin American countries in the period 1980-2009 -- The estimation has been done through the non-stationary panel approach, using the production function in order to control other sources of GDP variation, such as capital and labor -- In addition to this, a panel unit root tests are used in order to identify the non-stationarity of these variables, followed by the application of panel cointegration test proposed by Pedroni (2004) to avoid a spurious regression (Entorf, 1997; Kao, 1999)