Estimating Protectionism through Residuals from the Gravity Model
نویسنده
چکیده
منابع مشابه
Modified Maximum Likelihood Estimation in First-Order Autoregressive Moving Average Models with some Non-Normal Residuals
When modeling time series data using autoregressive-moving average processes, it is a common practice to presume that the residuals are normally distributed. However, sometimes we encounter non-normal residuals and asymmetry of data marginal distribution. Despite widespread use of pure autoregressive processes for modeling non-normal time series, the autoregressive-moving average models have le...
متن کاملEstimation of 3D density distribution of chromites deposit using gravity data
We inverse the surface gravity data to recover subsurface 3D density distribution with two strategy. In the first strategy, we assumed wide density model bound for inverting gravity data and In the second strategy, the inversion procedure have been carried out by limited bound density. Wediscretize the earth model into rectangular cells of constant andunidentified density. The number of cells i...
متن کاملTrade bloc formation in inter-war Japan.: A gravity model analysis
The purpose of this paper is to discuss the trading system in the inter-war period concerning the Japanese Empire by means of border effect analysis in the gravity model. The results show sizeable and steadily increasing trading bloc border effects from the 1910s through the 1930s. This sizeable border effect might have resulted from many possible factors: trade diversion and creation due to in...
متن کاملThe Sanctions and Geographical Shift in Trading Partners: Evidence from Iran and Russia through a Gravity Model
T his paper is an attempt investigating the relationship between sanctions implications and geographical shift in trading partners. To this end, we analyze separately foreign trade patterns of two countries namely Iran and Russia - which are under imposed sanctions experience - with two United Nations Regional Groups (The Asia-Pacific and the Western European groups) using a gravity...
متن کاملNon-linear stochastic inversion of regional Bouguer anomalies by means of Particle Swarm Optimization: Application to the Zagros Mountains
Estimating the lateral depth variations of the Earth’s crust from gravity data is a non-linear ill-posed problem. The ill-posedness of the problem is due to the presence of noise in the data, and also the non-uniqueness of the problem. Particle Swarm Optimization (PSO) is a stochastic population-based optimizer, originally inspired by the social behavior of fish schools and bird flocks. PSO is ...
متن کامل