Dynamic General Equilibrium Model Research Articles

Macroprudential policies and Brexit: A welfare analysis

AbstractBrexit will have implications on financial stability and the implementation of macroprudential policies. The United Kingdom (UK) will no longer be subject to the jurisdiction of the European Systemic Risk Board. This paper studies the welfare implications of this change of regime. By means of a dynamic stochastic general equilibrium model, I compare the pre‐Brexit scenario with the new one, in which the UK sets macroprudential policy independently. I find that, after Brexit, the UK is better off by setting its own macroprudential policy without taking into account Europe's welfare as a whole.

The impact of COVID‐19 pandemic on the Thai economy and the effectiveness of monetary policy: A Bayesian DSGE model approach

AbstractThis study estimates a medium‐scale dynamic stochastic general equilibrium model for the Thai economy to evaluate the impact of the COVID‐19 pandemic containment policy on key macroeconomic aggregates. The shock to labor supply is considered as the main transmission channel. The paper discussed the role of monetary policy in regard to economic recovery and also identified the dominant shocks driving the business cycle. Thai quarterly series from 2011Q1 to 2021Q2 is used for the Bayesian estimation of the model. Though the pandemic shock caused a sharp decline in output, consumption and investment, the results suggest a fast recovery in the growth rates of the variables in about 2.5 years. At the same time, the dominant shocks that account for output variation in the medium to long term are investment, labor supply and productivity shocks. Monetary policy is effective in shortening the recovery due to its impact on private investment. The key drivers of Thai household consumption in the long run are investment, labor supply and productivity shocks. On average, the investment shock appears to be the key driver of the business cycle at all horizons.

Debt-financed fiscal stimulus in South Africa

Levels of government debt-to-GDP have been rising substantially for over a decade in emerging market economies such as South Africa, which has led to much debate around the implementation of large-scale debt-financed fiscal stimulus programs in response to the economic fallout of the global covid-19 pandemic. Debt-financed fiscal policies directly stimulate aggregate demand through government expenditure or tax cuts, but their effectiveness is highly dependent on direct crowding-out of private sector expenditure, spill-over effects to the private sector through a higher risk premium on interest rates, and the interaction between fiscal policy and monetary policy. Using an open-economy dynamic stochastic general equilibrium model for South Africa, we identify the effect of six different fiscal policy instruments on short-term and long-term interest rates. These disaggregated expenditure and revenue shocks raise long-term real yields between 18 and 29 basis points, but there are non-negligible differences in the dynamic responses to each fiscal instrument. Our main findings suggest that, in the context of fiscal sustainability, an investment-driven debt-financed fiscal stimulus programme would reduce the government debt-to-GDP ratio, especially in periods of economic slack when monetary policy would typically be more accommodative. In fact, since the global financial crisis, monetary policy has reduced the burden of fiscal adjustment in response to rising debt and a rising risk premium. But further shocks to the risk premium could offset any gains from the current stance of monetary policy (for example, a credit rating shock raises the long-term government bond rate 155 basis points).

Would the Euro Area Benefit from Greater Labor Mobility?

We assess how within euro area labor mobility impacts economic dynamics in response to shocks. In the analysis we use an estimated two-region monetary union dynamic stochastic general equilibrium model that allows for a varying degree of labor mobility across regions. We find that, in contrast with traditional optimal currency area predictions, enhanced labor mobility can either mitigate or exacerbate the extent to which the two regions respond differently to shocks. The effects depend crucially on the nature of shocks and variable of interest. In some circumstances, even when it contributes to aligning the responses of the two regions, labor mobility may complicate monetary policy tradeoffs. Moreover, the presence and strength of financial frictions have important implications for the effects of labor mobility. If the periphery’s risk premium is more responsive to its indebtedness than our estimates, there are various shocks for which labor mobility may help stabilize the economy. Finally, the euro area’s economic performance following the Global Financial Crisis would not have been necessarily smoother with enhanced labor mobility.

Inter-industry trade and business cycle dynamics

Abstract Motivated by the increased importance of trade between industrialized and less-developed countries, we build a two-sector dynamic stochastic general equilibrium model featuring inter-industry trade as well as intra-industry trade to analyze the business cycle dynamics of industrialized countries. We find that import-competing sectors are more sensitive to domestic productivity shocks than exporting sectors, due to their stronger reliance on domestic demand. This generates pressure to adjust relative prices and to reallocate factors of production. It also propagates the international spillover effects of productivity shocks leading to stronger business cycle comovement across countries, relative to a traditional business cycle model that does not feature inter-industry trade.

Analysis of energy policy reform in Iran: Energy and emission intensity changes

The Subsidized energy system of Iran, with its high financial burden, failed to achieve its intended economic goals, resulting in increased energy consumption and pollutant emissions. Energy product subsidies in Iran are among the highest in the world and have important implications for developing countries. This study examines the impact of subsidy removal policy on energy and emission intensities using a Dynamic Computable General Equilibrium model. The findings reveal that after subsidy removal, total output experiences an annual growth of around 1.5%, with output composition changes mainly favoring agriculture and services that are less energy dependent. However, prices soar by at least 10% owing to the higher costs of energy products. The decreasing trend in energy intensity after subsidy reform is accompanied by a decrease in emission intensity. Higher prices of energy after subsidy removal and the corresponding improvement in the efficiency of energy consumption lead to lower emission intensity.

The macroeconomic effects of COVID-19 vaccinations in five Asian countries

COVID-19 vaccines were released en masse globally in 2021 and were regarded by policy makers as crucial in dealing with the coronavirus pandemic. An important question is thus to understand the benefits of the vaccines beyond the direct effects of reducing mortality and morbidity. Using available epidemiological evidence on the effectiveness of vaccines we estimate the economic benefits of vaccination in five important Asian economies – India, Indonesia, South Korea, the Philippines and Vietnam – by applying a dynamic multi-country general equilibrium model. This framework captures the direct and indirect effects of vaccination. Our results show net benefits in terms of GDP for all five economies ranging from 0.16% (India) to 1.1% (South Korea); these depend on the degree of vaccination amongst the population. South Korea shows the most significant benefits while other countries experience smaller benefits. Our findings are consistent with other studies estimating the economic benefits of vaccination.

The financialization of local government debt in China and its risk transmission to commercial banks

China's local government debt has risen sharply due to fiscal stimulus and decentralized financing. This debt expansion increases systemic risk as default risk is transmitted to banks, the primary holders of local debt. Using a Dynamic Stochastic General Equilibrium model incorporating local governments and banks, we show that local debt expansion increases banks' nonperforming loans and crowds out private credit, increasing bank risk-taking. We empirically examine 2010–2019 data on 350 Chinese banks and find that the level of local debt positively impacts bank risk-taking, especially low-capital, nonstate, and unlisted banks. The mechanisms operate through an increase in nonperforming loans due to default risk and a reduced regional repayment capacity due to crowded-out private credit. Our study reveals the impact of local debt on bank risk and financial stability in China. Policy implications include strengthening bank regulation and pursuing diversified government financing.

From parameters to policies: sensitivity analysis and fiscal and monetary reactions

PurposeThis 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.Design/methodology/approachThe 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.FindingsThis 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.Originality/valueThis 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.

A spatial macroeconomic analysis of the equity-efficiency trade-off of the European cohesion policy

ABSTRACT In this study we use a spatial dynamic general equilibrium model to analyse the macroeconomic impact of cohesion policy-like investments in nine net beneficiary member states of the European Union. We examine whether or not the objective of reducing regional disparities (equity) prevents the interventions from maximising their impact on national GDP impact (efficiency) by looking at GDP multipliers and interregional spillovers. We find that there may be an equity-efficiency trade-off depending on the characteristics of both the investments made and the targeted regional economies. Moreover, the analysis shows that the growth spillovers from more developed to less developed regions are limited. This implies that, in order to reduce regional disparities, investment must be made in the less developed regions of each country.

Analysing the response of CO2 emissions to business cycle in a developing economy: evidence for South Africa post-apartheid era

Introduction: This research addresses the response of CO2 emissions to economic fluctuations in South Africa post-Apartheid, covering the period 1990–2018. While previous studies focused on developed countries, limited attention has been given to sub-Saharan developing nations. The study challenges the assumption of constant emissions elasticity in current forecasts.Methods: The study employs a two-step strategy. Firstly, the rolling window regression with Hodrick-Prescott filtering was used to investigate whether the CO2 emissions elasticity varies over time. Secondly, a Markov-switching approach was used to examine the regime-switching behavior in GDP.Results and Discussion: Results suggest that CO2 emisssions elasticity varies over time. This was confirmed through alternative filtering techniques (Christiano-Fitzgerald, Baxter King, and the Butterworth filter). Markov-switching analysis revealed a regime-switching behavior in GDP, indicating negative CO2 emissions elasticity during recessions and positive elasticity during expansions. These findings persist even when accounting for monetary policy shocks and productivity shocks in the Environmental Dynamic Stochastic General Equilibrium (E-DSGE) model. Noteworthy is that South Africa is among the top 20 greenhouse gas emitters globally.Conclusion and recommendations: The study recommends tailored carbon-pricing policies that are conscious to the countercyclical nature of business cycles. Pricing emissions higher during economic upswings aligns with periods of growth. Additionally, the government is advised to invest in research and development for energy conservation, efficiency, and renewable technologies to counterbalance emissions growth. Implementing emission caps and tax incentives can further enforce pollution abatement measures. Policymakers should consider these asymmetrical responses when addressing global warming challenges in South Africa.

Computable general equilibrium analysis of neutral carbon trading scheme and revenue recycling impacts on income distribution in China

Utilizing a dynamic computable general equilibrium (CGE) model, this paper critically assesses the potential distortions and efficacy of various revenue-neutral carbon emission trading schemes (ETSs) in China, through government subsidies and value-added tax (VAT) relief strategies aimed at achieving peak carbon emissions before 2030. The analysis reveals that reallocating market revenues to the production sector, either through government subsidies or VAT reductions, can feasibly attain carbon peaking before 2030, with minimal impact on GDP. Notably, both government subsidies and VAT cuts foster output growth in the oil, gas, and ETS-covered sectors. Moreover, directing carbon market revenue toward ETS-covered industries via VAT relief emerges as the most effective approach to reducing income disparities. In contrast, redistributing carbon market revenue to non-ETS-covered industries via VAT relief is found to be the least effective in promoting social equity. The study emphasizes that the reallocation of carbon market revenues to ETS-covered sectors is paramount. This strategy not only regulates the overall energy consumption effectively but also steers the nation towards a more sustainable and optimized energy consumption pattern. In light of these findings, this paper offers detailed insights and tailored policy recommendations, aiming to assist policymakers in striking a balance between environmental goals and economic and social imperatives.

Distribution of economic damages due to climate-driven sea-level rise across European regions and sectors

Economic costs of climate change are conventionally assessed at the aggregated global and national levels, while adaptation is local. When present, regionalised assessments are confined to direct damages, hindered by both data and models’ limitations. This article goes beyond the aggregated analysis to explore direct and indirect economic consequences of sea level rise (SLR) at regional and sectoral levels in Europe. Using a dynamic computable general equilibrium model and novel datasets, we estimate the distribution of losses and gains across regions and sectors. A comparison of a high-end scenario against a no-climate-impact baseline suggests a GDP loss of 1.26% (€871.8 billion) for the whole EU&UK. Conversely our refined assessments show that some coastal regions lose 9.56–20.84% of GDP, revealing striking regional disparities. Inland regions grow due to the displaced demand from coastal areas, but the GDP gains are small (0–1.13%). While recovery benefits the construction sector, public services and industry face significant downturns. We show that prioritising recovery of critical sectors locally reduces massive regional GDP losses, at negligible costs to the overall European economy. Our analysis traces regional economic restructuring triggered by SLR, underscoring the necessity of region-specific adaptation policies that embrace uneven geographic impacts and unique sectoral profiles to inform resilient strategy design.

Inflation response in a New Keynesian model with money illusion

AbstractThis study investigates the role of money illusion (MI) in a dynamic stochastic general equilibrium model. We introduce MI such that households, in their intertemporal optimization, erroneously recognize nominal variables as real ones. We find that first, our model could exhibit money nonneutrality in the long run; second, the Taylor principle is a sufficient condition for determinacy but not a necessary condition; third, the response to output in monetary policy rule matters for the model not to exhibit money nonneutrality in the long run; and finally, MI could flatten the slope that represents the output‐inflation trade‐off.

Disaggregated effect of construction investments on the Saudi economy: a dynamic computable general equilibrium model of Saudi Arabia

The role of the construction industry in economic growth has been widely discussed in the extant literature, but existing studies have not investigated the disaggregated impact of construction investments on the production and social sectors. This study examines the disaggregated effect of construction investments on the Saudi economy. The study uses a social accounting matrix of Saudi Arabia and constructs a dynamic computable general equilibrium model. The findings reveal that construction investments significantly boosted GDP and aggregate investments in the first two periods; however, the growth declined in the following three periods. This finding underlines the importance of long-term investments in the construction sector and calls for continuous monitoring and updating of the investment policy for sustainable development. This study also presents the disaggregated impact of investments on the value-added by each sector of the economy. The ranking of sectors exhibits that mining and quarry activities underwent a high increase in value-added, second to construction activities. Other economic activities also experienced growth in value-added and some of them changed their ranks within the five years.

How should governments respond to energy price crises? A horse-race between fiscal policies

This paper compares the welfare and distributional implications of fiscal policies aimed at reducing a sudden and significant increase in the price of energy. A dynamic computable general equilibrium model with households disaggregated by income groups is used to compare the effectiveness of five energy price-reducing fiscal policies. The policies are assessed under two financing options, pure government debt and a mix of debt and windfall taxation on energy companies. Results from simulations demonstrate that targeted demand-side policies are more effective at reducing overall energy-driven inflation and increasing welfare. Supply-side policies and mixed demand and supply policies achieve a smaller reduction in the consumer price index but are more expansionary. Financing the policies partly through windfall taxation does not impact the ranking of policies but it delivers better distributional outcomes and higher welfare. The results motivate the use of windfall taxation if governments face high interest rates on debt financing and/ or if households care sufficiently about the provision of public goods. The optimal policy is likely a mix of supply-side measures such as production tax reductions or general price subsidies and either targeted energy price subsidies or targeted income subsidies financed where possible through windfall taxation.

Economic Impacts of Projected White Oak (Quercus alba L.) Timber Supply in Kentucky: A CGE Model Analysis

Demand for high-quality white oak sawlogs in Kentucky has been increasing for decades. Concurrently, Kentucky is witnessing ecological shifts in the historically white oak-dominated forests, mirroring the structural changes in oak forests in the eastern US. This demand–supply dissonance presents a growing concern among stakeholders on the sustainability of white oak and its associated economic implications. In this context, the objective of this study was to assess the potential economic impacts of the projected white oak timber supply following an overall increased supply of white oak sawlogs but reduced supply of high-quality white oak sawlogs in Kentucky. Results generated from a dynamic computable general equilibrium (CGE) model indicate a cumulative present-value GDP reduction of USD 3.66 billion, a USD 0.71 billion decline in consumer welfare, and other sectoral contractions over 40 years (2018–2058). These results can be used to advocate for more proactive forest management practices to stabilize a sustained supply of high-quality white oak timber in Kentucky and beyond.

Artificial intelligence and the skill premium: A numerical analysis of theoretical models

As a new engine in guiding China's high-quality economic development, it is important to study whether the development of artificial intelligence (AI) will increase the skill premium and affect labor income inequality. Based on Acemoglu and Restrepo's (2018a) task-based model, this study constructs a multi-sector dynamic general equilibrium (DGE) model to analyze the impact and mechanism of AI on the skill premium and performs a numerical simulation using China's industrial panel data from 2010 to 2019. The results show that AI widens the skill premium by substituting low-skilled labor with industrial robots and performing high-skilled labor tasks. The mechanism analysis reveals that AI also affects the skill premium by influencing factor flow and structural transformation. Based on these findings, this study provides policy suggestions for governments to mitigate the impact of AI on the labor market.

A Critical Analysis of the Financial Frictions Approach in a Minskyan Perspective

The concept of financial frictions is at the core of the Financial Frictions Approach (FFA) which underlines that to explain the financial crisis of 2007–2008 it is sufficient to add the financial system to the New Keynesian Dynamic Stochastic General Equilibrium (NK-DSGE) model. Many economists have cited Hyman Minsky among those who “emphasized the importance of financial frictions.” The aim of this work is: 1) to show that Minsky cannot be considered the precursor of the FFA and that FFA does not allow for a solid explanation of financial crises; and 2) to present a sound explanation of the financial instability affecting capitalist economies based on two teachings characterizing Minsky’s work. The first consists in Minsky’s interpretation of John Maynard Keynes’s General Theory, which recovers the revolutionary elements of Keynes’s thought neglected by the Neoclassical Synthesis. The second teaching consists in underlining the need to integrate Keynes’s and Joseph Schumpeter’s theoretical frameworks.

The economic and environmental effects of China's environmental expenditure under financing constraints.

Sound ecological and environmental governance systems are critical for promoting green and low-carbon economic transformation and high-quality development. However, financing constraints are major obstacle to the revitalization and transformation of China's real economy. In this study, we constructed an environmental dynamic stochastic general equilibrium (E-DSGE) model that incorporates two types of environmental expenditure and financing constraints, and discussed their economic and environmental effects. Based on this, we further considered the impacts of financing constraints on policy effects. Firstly, we found that increases in carbon emission reduction subsidies in government expenditure (1) increase total economic output and (2) motivate enterprises to increase emission reduction efforts and reduce pollution intensity and emissions, thereby reducing the inventory of environmental pollutants while balancing economic benefits and emission reduction. Secondly, increasing the proportion of government special expenditure on environmental protection promote output growth and directly reduces the pollution stock in the environment. However, such policies may also reduce the emission reduction efforts of enterprises, leading to increases in their pollution emissions and intensity. Lastly, the existence of financing constraints is not conducive to the growth of total output but increases the pollution control effect of emission reduction subsidies and pollution prevention expenditure. Application of the E-DSGE model offers new theoretical insight into environmental economics and macroeconomics. Moreover, the results of this study provide a reference for optimizing the structure of fiscal expenditure.