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This paper aims to examine whether Indonesian cross-border trade responds asymmetrically to exchange rate volatility (ERV).

An exponential generalized autorgressive conditional heteroscedasticity model is applied to estimate the ERV of Indonesia and ten main trade partners using quarterly data from 2006 to 2020. A nonlinear autoregressive distributed lag estimation is applied to estimate the impact of ERV on cross-border trade. Impacts from the global financial crisis (GFC) of 2008 and the COVID-19 pandemic are covered. Dynamic panel data is used for the robustness test.

In the short-run, ERV significantly affects exports to most of the top partners (positively, negatively or both). In the long run, asymmetric effects occur in Indonesia’s exports to five top destinations. The weakening of the Indonesian Rupiah mainly supports exports in the short term. Imports from top partners are also affected by ERV in both the short run and, to a lesser extent, in the long run. Both the GFC and the COVID-19 pandemic reduced trade: for most cases, in the short run. The dynamic panel model suggests that ERV has asymmetric impact on cross-border trade in the long run.

Exchange rate strategies need to avoid a single-side policy approach and, instead, account for exporter and importer differences in risk behaviour and an asymmetric response to ERV in trade. Policymakers need to consider policies that stabilise the currency.

This study provides evidence that cross-border trade can react asymmetrically to the exchange rate uncertainty and that the impacts of real ERV are asymmetric as well. The authors also apply a dynamic panel that signals that ERV matters in the long run for Indonesian trade with top partners.

The authors test the effect of expenditure decentralization and fiscal equalization on short- and long-run economic growth and estimate two-step generalized method of moment (GMM) simultaneous equations models, using panel data for China and India for the period 1985 to 2005. The authors estimate two simultaneous equations: a growth equation and equalization equation and find that expenditure decentralization has a negative and statistically significant effect at conventional levels on short-run economic growth for both China and India. However, the authors also find that this result is sensitive to the set of included explanatory variables. This leads the authors to conclude that expenditure decentralization has no effect on short-run economic growth for either country. The authors also find that expenditure decentralization has a positive and statistically significant effect on fiscal equalization for both countries but find no evidence that fiscal equalization affects short-run economic growth for either China or India. In contrast, the authors find that expenditure decentralization has a positive effect on long-run economic growth in the case of India, but not in the case of China. Finally, the authors report evidence that fiscal equalization has no effect on long-run economic growth in the case of China; however, the authors find that equalization has a positive and statistically significant at conventional levels effect on long-run economic growth in India.

The authors estimate two-step GMM simultaneous equations models, using panel data for China and India for the period 1985 to 2005. To examine the effect of fiscal decentralization (FD) policies on economic growth in China and India, the authors estimate two equations: a growth equation and an equalization equation. For the growth equation, the authors adopt a production-function-based model that is widely used in the empirical literature on growth; however, the authors do make some compromises with this specification due to the unavailability of certain data. For the equalization equation, the authors include variables that economic theory and empirical evidence suggest influence fiscal disparities among subnational governments which in turn influence the demand for horizontal fiscal equalization (HFE). To the extent possible, the authors employ the same econometric specification, variable constructions and sample periods for both China and India. The authors believe this strategy provides a more rigorous test of the FD hypothesis.

The authors find that expenditure decentralization has a negative and statistically significant effect at conventional levels on short-run economic growth for both China and India. However, the authors also find that this result is sensitive to the set of included explanatory variables. This leads to conclude that expenditure decentralization has no effect on short-run economic growth for either country. The authors also find that expenditure decentralization has a positive and statistically significant effect on fiscal equalization for both countries but find no evidence that fiscal equalization affects short-run economic growth for either China or India. In contrast, the authors find that expenditure decentralization has a positive effect on long-run economic growth in the case of India, but not in the case of China. Finally, the authors report evidence that fiscal equalization has no effect on long-run economic growth in the case of China; however, the authors find that equalization has a positive and statistically significant at conventional levels effect on long-run economic growth in India.

Due to the importance of FD policies, especially to many developing countries that are currently pursuing decentralization reforms, future research should examine the effect of FD on economic growth for other countries. Furthermore, although it would be difficult to do so, future research should examine whether FD promotes political stability on ethnically diverse countries.

To the best of the authors’ knowledge, no one has examined the effect of FD policies on India's growth experience. What is more is that this is also the first of its kind to have a comprehensive empirical investigation into these two major developing countries with very interesting similarities and differences in FD policies. It is thus of great importance to examine the effect of expenditure decentralization and HFE on economic growth in China and India.

This paper develops a cross-sectionally augmented distributed lag (CS-DL) approach to the estimation of long-run effects in large dynamic heterogeneous panel data models with cross-sectionally dependent errors. The asymptotic distribution of the CS-DL estimator is derived under coefficient heterogeneity in the case where the time dimension (T ) and the cross-section dimension (N ) are both large. The CS-DL approach is compared with more standard panel data estimators that are based on autoregressive distributed lag (ARDL) specifications. It is shown that unlike the ARDL-type estimator, the CS-DL estimator is robust to misspecification of dynamics and error serial correlation. The theoretical results are illustrated with small sample evidence obtained by means of Monte Carlo simulations, which suggest that the performance of the CS-DL approach is often superior to the alternative panel ARDL estimates, particularly when T is not too large and lies in the range of 30–50.

This study aims to explore the long- and short-run effects of daily confirmed cases of COVID-19 (C_t) on daily stock returns (R_t) for Kuwait. This is the first study that was applied to the case of Kuwait.

We employed the autoregressive distributed lag (ARDL) model of Pesaran et al. (2001) and the nonlinear autoregressive distributed lag (NARDL) model of Shin et al. (2001) for daily data over the period March 2020 to August 2021.

The findings first document the existence of a long-run relationship (cointegration). Second, the findings of the ARDL model show a significant positive long-run effect of daily confirmed cases of COVID-19 (C_t) on daily stock returns (R_t) but a significant negative short-run effect. As for the NARDL model, the findings showed that the increase and decrease of daily confirmed cases of COVID-19 (Ct−1+,Ct−1−) have symmetric long-run effects on daily stock returns but asymmetric short-run effects. Finally, the vector error correction model causality test shows significant long- and short-run unidirectional causality running from daily confirmed cases of COVID-19 (C_t) to daily stock returns (R_t).

To the best of the author’s knowledge, this is the first study that was applied to the case of Kuwait.

The purpose of this paper is to examine the effects of monetary policy on economic activity using a plethora of hitherto unemployed financial dynamics in inflation-chaotic African countries for the period of 1987-2010.Although in developed economies, changes in monetary policy affect real economic activity in the short-run, but only prices in the long-run, the question of whether these tendencies apply to developing countries remains open to debate.

Vector autoregresion (VARs) within the frameworks of Vector Error Correction Models and simple Granger causality models are used to estimate the long- and short-run effects, respectively. A battery of robustness checks are also used to ensure consistency in the specifications and results.

The tested hypotheses are valid under monetary policy independence and dependence, except few exceptions. H1: Monetary policy variables affect prices in the long-run but not in the short-run. For the first-half (long-run dimension) of the hypothesis, permanent changes in monetary policy variables (depth, efficiency, activity and size) affect permanent variations in prices in the long-term. But in cases of disequilibriums, only financial dynamic fundamentals of depth and size significantly adjust inflation to the cointegration relations. With respect to the second-half (short-run view) of the hypothesis, monetary policy does not overwhelmingly affect prices in the short-term. Hence, but for a thin exception, H1 is valid. H2: Monetary policy variables influence output in the short-term but not in the long-term. With regard to the short-term dimension of the hypothesis, only financial dynamics of depth and size affect real gross domestic product output in the short-run. As concerns the long-run dimension, the neutrality of monetary policy has been confirmed. Hence, the hypothesis is also broadly valid.

A wide range of policy implications are discussed. Inter alia: the long-run neutrality of money and business cycles, credit expansions and inflationary tendencies, inflation targeting and monetary policy independence implications. Country-/regional-specific implications, the manner in which the findings reconcile the ongoing debate, measures for fighting surplus liquidity and caveats and future research directions are also discussed.

By using a plethora of hitherto unemployed financial dynamics (that broadly reflect monetary policy), we provide significant contributions to the empirics of money. The conclusion of the analysis is a valuable contribution to the scholarly and policy debate on how money matters as an instrument of economic activity in developing countries.

Globalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – foreign direct investment, remittances and official development assistance – can be a key factor in the development of the economy. The purpose of this study is to analyze the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been used. As part of this study, an attempt was made to use a combined autoregressive distributed lag (ARDL) panel approach to study the short-term and long-run effects of financial flows on economic growth. The results indicate ambiguous effects. Economically, the effect of financial flows on economic growth depends on the investor’s expectations.

To study the short-run and long-run effects of financial flows on economic growth, this paper considers an empirical approach based on the panel ARDL. This model makes it possible to distinguish between the short-run effect and the long-run one. This type of model is based on three estimators, namely, mean group, pooled mean group (PMG) and dynamic fixed effect.

Results confirm the existence of a long-run relationship because the adjustment coefficient (error correction parameter) is negative and statistically significant. This paper finds that the PMG estimator is more consistent and more efficient. In the short-run, foreign direct investment do negatively affect economic growth, the effect is no significant in the long-run. On the other hand, the effect of remittances on economic growth is significant in the short-run. However, it is no significant in the long-run. Finally, the results suggest that the effect of official development assistance on economic growth is insignificant; both in the long-run and in the short-run.

To study the interaction between financial flows and economic growth, some empirical methodology are used such as the dynamic panel data and the autoregressive vector (VAR) model. In this study, we apply the panel ARDL model to analyze the short-run and the long-run effect for each financial flow on economic growth. The objective is to study the heterogeneity on dynamic adjustment in the short-term and long-term.

The main purpose of this study is to investigate the short-run and long-run asymmetric effects of fiscal policy, namely government spending on economic growth over the sample period 2004Q2 up to 2018Q1 for the South African economy.

Nonlinear autoregressive distributive lag model is used to examine the short-run and long-run asymmetric effects of government spending on economic growth.

The results exhibit the negative change effect of government spending is found to be greater than the positive change effect of government spending on economic growth. Real effective exchange rate is found to have a positive and significant effect on economic growth both in the short run and long run. Whereas, inflation rate affects economic growth negatively and significantly in the short run and long run.

Previous empirical studies on the effect of fiscal policy on growth, at least for South Africa, consider only the asymmetric short-run effect while this paper extends the literature by incorporating asymmetries into the long-run effect. It provides a detailed analysis to the recent controversies on the effects of fiscal policy on growth.

The purpose of this paper is to estimate benefits to debt reduction by using the natural experiment provided by the debt relief programs: the Heavily Indebted Poor Countries Initiative launched by the International Monetary Fund and World Bank in 1996 and the Multilateral Debt Relief Initiative extension in 2005.

The authors apply a time-shifted difference-in-differences strategy to evaluate the effects of this intervention. The date of each country’s decision to participate in the program is used as one treatment point while the date of the completion of the debt relief program is used as another treatment point. The exercise compares different economic outcomes such as domestic and foreign investment, schooling, and employment of the treated observations to the counterfactual of untreated country-years. The period between the decision and completion points is a short run while the period after the completion point is considered a long run.

The authors found that debt relief increased capital investment as much as 1.63 percent in the short run and 5.79 percent in the long run. However, there was no effect on foreign direct investment suggesting that debt overhang does not affect incentives of foreign investors. Output and schooling enrollment increased both in the short and long run.

This paper exploits a natural experiment of debt relief in a number of developing countries to shed light on the possible benefits to debt reduction. The authors are able to separate the short- and long-run effects of debt reduction. The finding that domestic but not foreign investment responds to debt reduction is suggestive of the differences in incentives across these two sources of investment.

The purpose of this paper is to provide an understanding of the effects of advertising based on economic cycles. To comprehend advertising effects in the restaurant industry from an economic cycle perspective, this study investigated both short- and long-run advertising effects under periods of economic contraction and expansion and compared those effects between the two economic periods.

The data were collected from the COMPUSTAT database for the restaurant industry (SIC 5,812) from 1979 to 2010. To estimate the economic cycles, the 2005 year-based real gross domestic product (GDP) was used from the Bureau of Economic Analysis. Also, all variables were depreciated by the value of the US dollar in 2005. For estimation, a single equation error correction model was used to examine the short-term and long-term effects of advertising.

The results of this study indicated that both the short- and long-term effects of advertising on sales growth were more obvious in contraction periods than in expansion periods. However, the short-run effects of advertising on brand equity did not significantly differ between expansion and contraction periods. Further, the long-term effects of advertising on brand equity were greater in expansion periods than in contraction periods. The findings suggest that restaurant firms should not reduce their advertising budgets during periods of economic contraction to take advantage of superior sales growth outcomes during these periods.

The results of this study provide restaurant managers with useful practical implications. During economic contraction periods, restaurant managers should not reduce advertising budgets to take an ascendant position in terms of sales growth. Though the net positive effect at year t + 1 of contraction periods was smaller than that of expansion periods for sales growth, this is temporal and the long-run positive effect on sales growth spreads into future periods. Thus, a counter-cyclical advertising strategy could compensate for reduced sales from weak customer demands during economic contraction periods.

There have been many empirical studies on the advertising effect in the literature. However, this study examined whether the effects of advertising differ between economic expansion and contraction periods. This specificity is helpful for industrial practitioners as well as academic researchers.