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Purpose – The present note shows the interaction between technological differences between countries and the level of trade costs as a determinant of trade patterns.

Methodology/approach – It takes the work of Kikuchi et al.'s (2008) Chamberlinian–Ricardian model as its point of departure, and extends the analysis to include both a continuum of industries, as did Dornbusch et al. (1977), and iceberg transport costs.

Findings – It will be shown that trade liberalization drastically changes the nature of trade patterns, particularly the emergence of intra-industry trade.

Originality/value – This present model extends the Chamberlinian–Ricardian model to include positive trade costs.

This paper aims to revisit the theme of fiscal-monetary coordination in a general equilibrium setup that allows for unconventional monetary policy, monetary policy transmission and developing country characteristics.

This paper uses a calibrated new Keynesian dynamic stochastic general equilibrium (DSGE) model to study fiscal-monetary interaction.

Debt sits at the center of monetary-fiscal interaction. Under high-debt conditions, the inflation-output trade-off rises with an increase in the strictness with which monetary policy targets inflation, undermining the standard prescription of strict inflation targeting. At the same time, the transmission of monetary policy is also impeded, due to which unconventional monetary policy becomes more appropriate. The need for coordination among the policies gets enhanced in the presence of borrowing cost channel. While the presence of borrowing cost channel increases the need for policy coordination regardless of the debt situation, features like higher share of non-Ricardian households and weaker monetary policy transmission affect monetary-fiscal interaction to a greater extent under high-debt environment.

First, this paper uses inflation-output trade-off as a metric, to analyze fiscal-monetary interaction. Second, this paper considers the impact of developing country characteristics (such as a higher share of non-Ricardian households, impeded monetary policy transmission and supply constraints/borrowing cost channel) on fiscal-monetary interaction. Third, the DSGE model developed in this paper incorporates open market operations that could shed light on the role of unconventional monetary policy in the presence of high fiscal deficit and debt, which is particularly relevant in the current context of the COVID-19 pandemic. Fourth, the model also permits an investigation into monetary policy transmission under different debt regimes.

This chapter applies the new heterogeneous firm CGE model of Caliendo and Parro (2009) to determine what the Ricardian gains are from changing partners for members of a trade bloc. We focus on the MERCOSUR case, using a model with 48 sectors and 5 countries. Motivated by recent policy discussions, we quantify Uruguay's trade and welfare effects from signing a Free Trade Agreement with the United States and leaving MERCOSUR. We find positive welfare effects for Uruguay from bilaterally reducing tariffs with the United States. Most of the gains come from having access to lower-cost intermediate inputs for production. We then consider the policy experiment of bilaterally eliminating tariffs between all members of MERCOSUR and the United States. We find that Uruguay has the largest gains, while Argentina and Brazil do not benefit much. This chapter also illustrates how new models are a promising tool for the analysis of trade.

This article provides a detailed investigation of how Lewis revisited classical and Marxian concepts such as productive/unproductive labor, economic surplus, subsistence wages, reserve army, and capital accumulation in his investigation of economic development. The Lewis 1954 development model is compared to other models advanced at the time by Harrod, Domar, Swan, Kaldor, Solow, von Neumann, Nurkse, Rosenstein-Rodan, Myint, and others. Lewis applied the notion of economic duality to open and closed economies.

The authors introduce non-Ricardian (“hand-to-mouth”) myopic agents into an otherwise standard real-business-cycle (RBC) setup augmented with a detailed government sector. The authors investigate the quantitative importance of the presence of nonoptimizing households for cyclical fluctuations in Bulgaria.

The authors calibrate the RBC model to Bulgarian data for the period following the introduction of the currency board arrangement (1999–2018).

The authors find that the inclusion of such non-Ricardian households improves model performance along several dimensions and generally provides a better match vis-a-vis data, as compared to the standard model populated with Ricardian agents only.

This is a novel finding in the macroeconomic studies on Bulgaria using modern quantitative methods.

This paper seeks to explore the sensitivity of these parameters and their impact on fiscal policy outcomes. We use the existing literature to establish possible ranges for each parameter, and we examine how changes within these ranges can alter the outcomes of fiscal policy. In this way, we aim to highlight the importance of these parameters in the formulation and evaluation of fiscal policy.

The role of fiscal policy, its effects and multipliers continues to be a subject of intense debate in macroeconomics. Despite adopting a New Keynesian approach within a macroeconomic model, the reactions of macroeconomic variables to fiscal shocks can vary across different contexts and theoretical frameworks. This paper aims to investigate these diverse reactions by conducting a sensitivity analysis of parameters. Specifically, the study examines how key variables respond to fiscal shocks under different parameter settings. By analyzing the behavioral dynamics of these variables, this research contributes to the ongoing discussion on fiscal policy. The findings offer valuable insights to enrich the understanding of the complex relationship between fiscal shocks and macroeconomic outcomes, thus facilitating informed policy debates.

This paper aims to investigate key elements of New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models. The focus is on the calibration of parameters and their impact on macroeconomic variables, such as output and inflation. The study also examines how different parameter settings affect the response of monetary policy to fiscal measures. In conclusion, this study has relied on theoretical exploration and a comprehensive review of existing literature. The parameters and their relationships have been analyzed within a robust theoretical framework, offering valuable insights for further research on how these factors influence model forecasts and inform policy recommendations derived from New Keynesian DSGE models. Moving forward, it is recommended that future work includes empirical analyses to test the reliability and effectiveness of parameter calibrations in real-world conditions. This will contribute to enhancing the accuracy and relevance of DSGE models for economic policy decision-making.

This study is motivated by the aim to provide a deeper understanding of the roles macroeconomic model parameters play concerning responses to expansionary fiscal policies and the subsequent reactions of monetary authorities. Comprehensive reviews that encompass this breadth of relationships within a single text are rare in the literature, making this work a valuable contribution to stimulating discussions on macroeconomic policies.

In this chapter, I explore the impacts of international capital movements on income distribution within countries and the value of trade in goods. Jones (1980) introduces sector-specific capital into a simple Ricardian setting and examines the role of comparative and absolute advantage in determining the allocation of capital between countries. I introduce a simple structure of the demand for commodities into Jones (1980) so that commodity prices are determined endogenously in commodity markets. This extension allows us to show how the pattern of demand plays a crucial role in the effects of capital movements on income distribution and goods trade.

This paper argues that the recent rise in China Dutch trade is a typical example of two nations trading tasks rather than goods.

China Dutch trade growth between 1996 and 2010 is compared with China's trade growth with its main partners. In addition, the composition of China Dutch trade (based on level 1 and level 3 standard international trade classification (SITC)) between 1996 and 2010 is evaluated and three short case studies are discussed.

China Dutch trade has been growing too fast and too high tech to be explained by Ricardian trade theory. Instead the data fit neatly to the recently proposed theory of trade in tasks. It seems the Dutch have outsourced tasks such as assembly and production to China and other Asian countries, while China has been outsourcing distribution and trade management activities to The Netherlands.

This paper uses sound reasoning and some empirical evidence but no formal model or regression. The arguments of this paper could be strengthened further by using for example gravity equations of Dutch China trade.

The governments of China and The Netherlands should invest in strengthening their respective comparative advantages in tasks. Currently, there is too much focus on R&D. Instead, the Chinese Government should invest more in their innovation capability and the working conditions of assembly workers. The Dutch should focus more on knowledge and skill in the orchestration of production and distribution.

This paper proposes a very different view on trade and provides a recent and typical example of two nations exchanging tasks.

This study aims to examine the impact of fiscal deficit, exchange rate and trade openness on current account deficit (CAD). The study tried to empirically investigate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.

Autoregressive distributed lagARDL) bound test approach was used by taking annual time series data from 1978 to 2021. The estimates confirm a significant long-run and short-run relationship between dependent variables, i.e. CAD and independent variables such as the fiscal deficit, exchange rate and trade openness.

The results show that positive shocks of all explanatory variables significantly affect the CAD. CAD and fiscal deficit are significantly associated, as the coefficient of fiscal deficit is positive and significant. The study also found that exchange rate and trade openness significantly affect the CAD. The coefficients of exchange rate and trade openness are positive and significant. The findings show that an increase in CADs results from liberal trade policies that help domestic industries grow their trade and expansionary fiscal policy, leading to a higher fiscal deficit. The negative and significant error correction term suggests that short-run disequilibrium converges to long-run equilibrium at a speed of 19.2%. The findings validate the ‘twin deficits hypothesis’ and ‘compensation hypothesis’ in the Indian context.

It can be inferred from the study that liberal policy to promote economic growth and trade openness should be designed and promoted judiciously. An excessive liberalised approach may impact other macroeconomic variables such as current account balances. Integrating the domestic market with global markets poses a big challenge for countries like India that aspire to penetrate global markets. Furthermore, the Indian policy makers should rigorously work and promote the policies such as Fiscal Responsibility and Budget Management (FRBM) as reduction in fiscal deficits, trade imbalances will also be reduced.

This study contributes to the existing literature on ‘twin deficit’ and trade openness by giving new evidence on the trilemma between designing sustainable fiscal policy by spending wisely without imperilling the country's global presence and CAD.