The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

In this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade.Gravity Equation, Flexible Least Squares, Geographical Distance

The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

In this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade.Gravity Equation; Flexible Least Squares; Geographical Distance

The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

In this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade.Gravity Equation; Flexible Least Squares; Geographical Distance

Testing the finance-growth link: is there a difference between developed and developing countries?

We revisit the evidence of the existence of a long-run link between financial intermediation and economic growth, by testing of cointegration between the growth rate of real GDP, control variables and three series reflecting financial intermediation. We consider a model with a factor structure that allows us to determine whether the finance-growth link is due to cross countries dependence and/or whether it characterises countries with strong heterogeneities. We employ techniques recently proposed in the panel data literature, such as PANIC analysis and cointegration in common factor models. Our results show differences between the developed and developing countries. We run a comparative regression analysis on the 1980-2006 period and find that financial intermediation is a positive determinant of growth in developed countries, while it acts negatively on the economic growth of developing countries.financial intermediation, growth, common factor, panel data, PANIC analysis

A SIMPLE FRACTIONALLY INTEGRATED MODEL WITH A TIME-VARYING LONG MEMORY PARAMETER Dt

This paper generalizes the standard long memory modeling by assuming that the long memory parameter d is stochastic and time varying: we introduce a STAR process on this parameter characterized by a logistic function. We propose an estimation method of this model. Some simulation experiments are conducted. The empirical results suggest that this new model offers an interesting alternative competing framework to describe the persistent dynamics in modelling some financial series.Long-memory, Logistic function, STAR

Modelling squared returns using a SETAR model with long-memory dynamics

This paper presents a 2-regime SETAR model for the volatility with a long-memory process in the first regime and a short-memory process in the second regime. Persistence properties are studied and estimation methods are proposed. Such a process is applied to stock indices and individual asset prices.SETAR - Long-memory - FARIMA models - Stock indices

The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?

International audienceIn this paper, we address the problem of the role of the distance between trading partners by assuming the variability of coefficients in a standard gravity model. The distance can be interpreted as an indicator of the cost of entry in a market (a fixed cost): the greater the distance, the higher the entry cost, and the more we need to have a large market to be able to cover a high cost of entry. To explore this idea, the paper uses a method called Flexible Least Squares. By allowing the parameters of the gravity model to vary over the observations, our main result is that the more the partner's GDP is large, the less the distance is an obstacle to trade

Changing-regime volatility: A fractionally integrated SETAR model

This paper presents a 2-regime SETAR model with different long-memory processes in both regimes. We briefly present the memory properties of this model and propose an estimation method. Such a process is applied to the absolute and squared returns of five stock indices. A comparison with simple FARIMA models is made using some forecastibility criteria. Our empirical results suggest that our model offers an interesting alternative competing framework to describe the persistent dynamics in modeling the returns.SETAR ;Long-memory ;Stock indices ;Forecasting

A fractionally integrated exponential STAR model applied to the US real effective exchange rate

The aim of this paper is to study the dynamics of the US real effective exchange rate by capturing nonlinearity and long memory features. In this context, we use the family of fractionally integrated STAR (FISTAR) models proposed by van Dijk, Franses and Paap (2002) in the case when the transition function is an exponential function and we develop an estimation procedure. Indeed, these models can take into account processes characterized by several distinct dynamic regimes and persistence phenomena.Fractional integration; Nonlinearity; STAR models,; Long memory; Real effective exchange rate; Forecasting.

TESTING THE FINANCE-GROWTH LINK: IS THERE A DIFFERENCE BETWEEN DEVELOPED AND DEVELOPING COUNTRIES?

We revisit the evidence of the existence of a long-run link between financial intermediation and economic growth, by testing of cointegration between the growth rate of real GDP, control variables and three series reflecting financial intermediation. We consider a model with a factor structure that allows us to determine whether the finance-growth link is due to cross countries dependence and/or whether it characterises countries with strong heterogeneities. We employ techniques recently proposed in the panel data literature, such as PANIC analysis and cointegration in common factor models. Our results show differences between the developed and developing countries. We run a comparative regression analysis on the 1980-2006 period and find that financial intermediation is a positive determinant of growth in developed countries, while it acts negatively on the economic growth of developing countries