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A simultaneous equation model is used to estimate export demand and supply functions for US soybeans. Price, income, exchange rate and other effects on exports to four world regions are estimated. Inclusion of export supply relationships have very significant implications for estimated price‐, income‐, and exchange‐rate elasticities of export demand. Results fail to support the usual empirical assumption of infinite supply price elasticity for soybeans.

This paper aims to investigate the determinants of bilateral exports of India to the USA by taking the non-linearity issue in export demand equations which is neglected so far in the empirical work. The study tries to know the reaction of change in exports to exchange rate changes in a non-liner fashion. For this purpose, non-linear autoregressive distributed lag (NARDL) bounds testing approach of Shin et al. (2011) has been used. This approach allows testing for non-linearities both in the short and long run, which might give indications of strategic pricing and non-linearities in exchange rate. The empirical analysis is carried out for bilateral export demand relationships of India with the USA for the period from January 1993 until December 2013. The overall results show that exports are determined in the long run by foreign demand, exchange rates and relative prices. The assumed linearity in export demand functions might be too restrictive. Thereby, the one threshold model that distinguishes exchange rate effects between appreciations and depreciations delivers plausible results. If exchange rate non-linearities are detected, it would seem that exports respond stronger to appreciations than to depreciations. A reason for this might be that firms perform strategic pricing in international trade to gain or maintain market shares.

The paper uses the newly developed non-linear ARDL framework of Shin et al. (2011) to investigate whether there are non-linearities with respect to the exchange rate for India’s exports to the USA. One of the important features of this framework is that it is free from unit root pre-testing and can be applied regardless of whether variables are I(0) or I(1). In addition, ARDL and NARDL technique efficiently determines the cointegrating relation in small sample. The short-run and long-run parameters with appropriate asymptotic inferences can be obtained by applying OLS to NARDL with an appropriate lag length. Following is the NARDL representation of equation 4(a) and 4(b). For brevity, this is illustrated for 4(a) only, where is the first difference operator, P is the drift component and it is the white noise residual, the coefficients ?_1 to ?_4 represent the long-run relationship, whereas remaining expressions with summation sign represent the short-term dynamics of the model. This equation nests the linear ARDL model presented in Pesarean et al. (2001) for the case of d_k^+=d_k^-and ?_2=?_3for all k. Thus, equation is less restrictive than a linear model. For this test, as its distribution is non-standard, Pesarean et al. (2001) tabulate the critical values. The bound test is used to examine the existence of the long-run relationship among the variables in the system. This test is based on Wald/F-statistic and follows a non-standard distribution. To check whether a cointegrating relationship exists, one has to test the null hypothesis ?_1=?_2=?_3=?_4 = 0 in the equation. Pesarean et al. (2001) provide two sets of critical values in which lower critical bound assumes that all the variables in the ARDL are I(0) and upper critical bound assumes I(1). The null hypothesis of cointegration is rejected if the calculated F-statistics is greater than the upper bound critical values. If the F-statistics is below than the lower critical bound, then null hypothesis cannot be rejected; this indicates no cointegration among the variables. If it lies within the lower and upper bounds, the result is inconclusive. After examining the cointegration, long-run coefficients are calculated by estimating the model with the appropriate lag orders based on the Schwarz Information Criteria (SIC). Further, the short-run dynamics of the model is also analyzed by using unrestricted error correction model based on the assumption made by Pesarean et al. (2001). Thus, the error correction version of the NARDL model pertaining to the central export equation can be expressed as: 10; 10, where ? is the speed of adjustment parameter, and EC is the residuals that are obtained from the estimated cointegration model of equation 4(a). The EC term is expressed as 10; 10, where are the OLS estimators obtained from the equation (5a). The coefficients of the lagged variables provide the short-run dynamics of the model covering the equilibrium path. The error correction coefficient ( ) is expected to be less than zero, and its significant value implies the cointegration relation among the variables. Finally, various tests such as serial correlation, functional form, normality and heteroskedasticity have been conducted to check the performance of the model.

Many empirical studies have estimated the elasticities of different final export demand components with respect to the exports because of their importance in trade policy formulation. But all the work has accounted only linearity in the exchange rate in export demand equation. Hence, in this paper, we tried to estimate non-linearities in export demand equation. The study fills the gap in the literature by improving on existing literature with the incorporation of the newly developed NARDL approach of Shin et al. (2011). This approach allows testing for non-linearities both in the short- and in the long run which might give indications of strategic pricing and non-linearities in exchange rate. The empirical analysis is carried out for bilateral export demand relationships of India with the USA for the period from January 1993 until December 2013. The bound test shows that there exists cointegration among the variables. Results show that exports are determined in the long run by foreign demand, exchange rates and relative prices. The long-run coefficients have got the expected sign and are of reasonable magnitude and statistically significant. Regarding non-linearities, the results show that assuming linearity in export demand functions might be too restrictive. Thereby, the one threshold model that distinguishes exchange rate effects between appreciations and depreciations deliver plausible results. If exchange rate non-linearities are detected, it seems that exports respond stronger to appreciations than to depreciations. A reason for this might be that firms perform strategic pricing in international trade to gain or maintain market shares.

The originality of this paper lies in the fact that it applies NARDL approach to Indian trade data (export demand) and analyzes the asymmetrical and non-linear impact of exchange rate changes on Indian exports.

The paper aims to examine the effects of exchange rate fluctuations on real output, the price level, and the real value of components of aggregate demand in Egypt and Turkey.

Building on a theoretical model that decomposes movements in the exchange rate into anticipated and unanticipated components, the empirical investigation traces the effects through demand and supply channels.

In Turkey, anticipated exchange rate appreciation has significant adverse effects, contracting the growth of real output and the demand for investment and exports, while raising price inflation. Random fluctuations in Turkey have asymmetric effects that highlight the importance of unanticipated depreciation in shrinking output growth and the growth of private consumption and investment, despite an increase in export growth. In Egypt, anticipated exchange rate appreciation decreases export growth. Given asymmetry, the net effect of unanticipated exchange rate fluctuations, in Egypt, decreases real output and consumption growth and increases export growth, on average, over time.

In light of the country‐specific evidence, future research should extend the investigation using panel estimation, incorporating various demand and supply shocks along with exchange rate fluctuations, to establish the relative importance of various shocks on macroeconomic performance across MENA countries.

While adhering to a flexible exchange rate policy to boost competitiveness, managing fundamentals to reduce excessive volatility impinging on the economic system over time should top the policy agenda.

Excessive volatility in the real effective exchange rate could be detrimental to real growth, over time, as the evidence for Turkey and Egypt illustrates.

Applies new tests for parameter instability in cointegrated models to evaluate the traditional export demand function. The determinants of exports considered are world real income, export price and competitors’ export price. The data for Singapore (a newly industrializing economy), from 1973‐1997, are used as a case study. Results suggest that Singapore does not satisfy the conditions of a small, price‐taking country in world trade. Irrespective of whether one normalizes export demand function by price or quantity, the state of external demand appears to be a key ingredient in Singapore’s export growth. This finding differs markedly from Riedel’s evidence. It is found that the estimation of Singapore’s export demand model requires the inclusion of some dummy variables in order to achieve not only cointegration but also long‐run parameter stability. However, once the structural breaks are accounted for, a stable relation is found, which resists a series of specification tests.

Due to the emergence of global production networks, trade statistics have became less accurate in describing the dependence of emerging Asia on external demand. This chapter analyses, using an update of the Asian International Input–Output (AIO) table, the interdependence of emerging Asian economies, the United States, the EU15, and Japan via trade and production linkages. According to the results, we do not find evidence of the decoupling of emerging Asia from the rest of the world. On the contrary, we find evidence on increasing trade integration, both globally and regionally. Nonetheless, our analysis indicates that emerging Asia's dependence on exports is only about one-third of its GDP, that is, well below the 50% exposure suggested by trade data. This finding can be explained by the high import content of exports in these economies, which is a result of the increasing segmentation of production across the region.

This paper aims to examine the influence of exchange rate variability on the demand for Malaysia's top five electrical exports as classified by Standard International Trade Classification (SITC) product groups.

The autoregressive distributed lag (ARDL) modelling approach to co‐integration is employed in order to estimate the influence of exchange rate variability on export demand.

The empirical results indicate that foreign income and prices are important determinants of export demand for all of the five electrical exports, in both the long run and the short run, over the sample period 1990‐2001. More interestingly, this paper supports the view that exchange rate variability has an adverse effect on Malaysia's electrical exports.

One limitation of the study is the appropriateness of the ARDL modelling approach to examine the influence of exchange rate variability (which is stationary, I(0)) on trade behaviour such as export demand behaviour.

This paper is important to policymakers for the design of both exchange rate and trade policies in order to promote export growth, which could lead to Malaysia's transition towards high‐technology industrialisation.

This paper examines the influence of exchange rate variability on the demand for Malaysia's top five electrical exports as classified by SITC product groups, information which is not available in the existing literature.

The assignment of targets to instruments in developing countries cannot satisfactorily follow any simple universal rule. Which approach is appropriate is influenced by whether the economy is dominated by primary exports, by the importance of the domestic bond market and bank credit, by the extent of existing restriction in foreign exchange and financial markets, by the presence or absence of persistent high inflation, and by the existence or non‐existence of an active international market in the country's currency. Eighteen observations and maxims on stabilisation policy are tentatively drawn (pp. 64–8) from the material reviewed, and the maxims are partly summarised (pp. 69–71) in a schematic assignment, with variations, of targets to instruments.