The paper quantifies the most likely trade effects of the exceptional cases of the GATT/WTO system, namely, Regional Integration Agreements, on the selected member as well as non-member countries of the EU, NAFTA, MERCOSUR and AFTA. To this end, the gravity model was estimated through fixed...

A two-equation integrated model is developed to capture bank profit and risk-avoidance decisions. Output is limited to customer loans. The profit function is based on output and selected inputs. Risk-avoidance (using the capitalization ratio) depends on micro and micro∗macro interactive...

The paper exploits the distributional dynamics and structural changes in the endogenous distribution of economic freedom across countries over time by utilizing the Rosenblatt–Parzen Kernel density estimator compared to the original distribution based on the methodology proposed by the...

There are two major hypotheses regarding the talent distribution among the teams that would maximize the total revenues in a sports league; dominant teams versus parity. This paper examines the revenue structure of National Football League and proposes policy recommendations regarding talent...

The paper presents a small macro model for Pakistan economy focusing the impact of investment in human capital on the key macroeconomic variables. The demand side is modeled along the Keynesian lines while the supply side is modeled as per neoclassical theory of production. This framework allows...

We develop and estimate a medium-sized, semi-structural model for the Brazilian economy during the inflation targeting period. The model describes fairly well key features of the economy and allows us to decompose the transmission mechanism of monetary policy. In the baseline decomposition, the...

A spatial error model is classified as a geostatistical model or a weight matrix model on the basis of the method of specification of spatial autocorrelation in the disturbance. Specification errors cannot be assumed to be absent, and the robustness of alternative specifications is useful for...

The Chinese economic development affects GDP growth and inflation in the advanced countries. The size of the effects is inferred from multivariate time series and structural econometric methods. In particular, the GVAR and the NiGEM are employed to examine the interdependencies between the...

This article contributes to the literature by investigating the dynamic relationship between carbon dioxide (CO2) emissions, output (GDP), energy consumption, and trade using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1971–2008. The...

We develop a methodology of parametric modeling of time series dynamics when the underlying loss function is linear-exponential (Linex). We propose to directly model the dynamics of the conditional expectation that determines the optimal predictor. The procedure hinges on the exponential quasi...