Macroeconomic Effects Research Articles

Macroeconomic impact of forced migration on Lebanon with a focus on labor market dynamics and policy strategies for sustainable economic growth

This article explores the profound macroeconomic consequences of forced migration on Lebanon's economy, with a specific focus on labor market dynamics. Drawing from extensive research and analysis, the study examines the factors driving migration, its impacts on the labor market, and the resultant economic challenges. It delves into the wage disparities, employment rates, and the informal sector's expansion due to the influx of migrants. The article also evaluates existing public policies and proposes strategic interventions aimed at fostering migrant integration and promoting sustainable economic growth. By addressing these critical issues, the forced aims to provide comprehensive policy recommendations to mitigate the adverse effects of forced migration and enhance Lebanon's economic resilience.

Heterogeneous biased expectations of young and old individuals: macroeconomic effects and policy implications

Abstract This paper examines the effects of heterogeneous biased expectations between the young and old on business cycles and explores its policy implications. Empirical findings reveal that individuals, particularly the young, can have more optimistic or pessimistic views about the future state of the economy compared to the data-generating measure. This study relates these results to the learning-from-experience literature, which suggests that individuals, particularly the young, place greater weight on recent observations when forming their expectations. Incorporating household weighting schemes into a life-cycle learning model, I show that household sensitivity to recent observations amplifies the effects of economic shocks. However, the amplification effects become less extensive as the population ages due to the lower sensitivity of the old. My simulation results indicate that a 10 percentage point increase in the old population ratio leads to a 16 percent decrease in output volatility. Regarding policy implications, this paper suggests that the government spending multiplier declines by approximately 10 percent when the old population ratio rises by 10 percentage points due to weak amplification effects. Moreover, the weakened output effects deteriorate the welfare of the population, particularly that of the young.

Oil Price and Long-run Economic Growth in Oil-importing Developing Countries

The recent spikes in oil prices are a significant setback for the world economy, which has already faced multiple challenges due to the COVID-19 pandemic. This is particularly concerning for developing countries as maintaining a sustained growth in real GDP is crucial for lifting their population out of poverty. While the short-run negative macroeconomic effects of a spike in oil prices are well established in the context of the developed world, the long-run growth effect has received little attention, especially in developing countries. Using the World Bank's development indicators database covering the period 1990 to 2020, this study aims to investigate the oil price-growth nexus in low and middle-income net oil-importing countries to shed light on how oil price increases could be a challenge for sustainable development. Specifically, we first set up a theoretical model to establish the relationship between growth in output per capita and oil price. Following the traditional growth regression approaches, we empirically estimate the causal effect of growth in oil prices on the economic growth of 65 net oil-importing developing countries using fixed effect panel IV regression methods. The empirical results confirm statistically significant negative effects of oil prices, indicating that a higher oil price reduces long-run economic growth in oil-importing developing countries. Our results on the other determinants of growth are consistent with the existing empirical growth literature. Oil-importing developing countries, therefore, must allocate resources towards alternative domestic energy sources, in addition to pursuing fuel efficiency and conservation strategies, to mitigate the negative effects of oil price fluctuations on their long-run economic output and uphold sustainable development.

Credit Supply or Demand? The Changing Role of Structural Market Forces in Bank Lending*

ABSTRACT Recent crises have shown that disruptions in credit markets can have serious macroeconomic consequences. This paper aims to assess the structural drivers of the bank lending market to non-financial corporations using the structural VAR methodology in a small, open, and bank-based euro area economy – Slovakia. The results show that credit demand shocks (loans demanded by firms) are at least as important as credit supply shocks (loans supplied by banks) in the lending market, and that this importance changes over the cycle. These findings have important policy implications, as responding to these shocks may require different policy measures.

Correction to: The Macroeconomic Effects of EU Regional Structural Funds

Correction to: The Macroeconomic Effects of EU Regional Structural Funds

Possible development path for agricultural economic and trade cooperation in FTAAP: A numerical simulation

Exploring the path of developing agricultural economy and trade cooperation in the Free Trade Area of the Asia Pacific (FTAAP) is of great practical significance for deepening economic integration in the Asia Pacific region and strengthening regional agricultural development. This paper proposes three feasible paths based on RCEP, CPTPP, and the integration of RCEP and CPTPP to establish FTAAP. Moreover, a dynamic computable general equilibrium model of global trade is used to simulate the macroeconomic effects and the agricultural effects represented by China in forming FTAAP under these three paths. The research results show that six common policy nodes will promote macroeconomic growth in participating countries, and the effects of the in-depth implementation of RCEP and CPTPP will be greater than those of the initial implementation. Due to the broader base of participating economies and the higher level of openness, establishing FTAAP under Path 3 will yield greater macroeconomic effects and agricultural effects. Therefore, the path based on the integration of RCEP and CPTPP is an optimal selection for economic and trade cooperation of agriculture in FTAAP. All parties should actively overcome the obstacles to forming FTAAP and provide a stable internal and external industrial development environment for regional agricultural economic and trade cooperation.

R&D expenditure and its macroeconomic effects: A comparative study of Israel and South Caucasus countries

The impact of research and development (R&D) expenditure is crucial for understanding contemporary economic development strategies. This study investigates the relationship between R&D spending as a percentage of GDP and economic growth, focusing on the South Caucasus countries (Azerbaijan, Georgia, and Armenia) and Israel, which is notable for its substantial R&D expenditure (5.71% of GDP in 2020). The objective is to evaluate the impact of R&D expenditure on economic development through the application of rigorous empirical methods. By employing a quantitative approach, this study aims to offer a detailed analysis of the impact of R&D investment on economic growth across various countries. Ordinary least squares (OLS) regression analyzes the association between R&D expenditure and GDP levels. Granger causality tests are utilized to investigate the causal relationships. The results demonstrate a significant positive relationship between R&D expenditure and GDP across all studied countries. Furthermore, the analysis reveals that GDP growth stimulates increased R&D investments in Azerbaijan and Armenia, as evidenced by Granger causality tests. To sum up, this paper underscores the critical role of R&D spending in driving economic development and highlights the necessity for policy initiatives focused on strengthening R&D frameworks.

30 Years of Macroeconomic Effects in Zambia-VECM, ARDL & IRF Approaches

Purpose: This study examines the impact of selected time series macroeconomic variables on Zambia’s economic progress for thirty (30) years (1992 to 2022) Methodology: The study employs the autoregressive distributed lag (ARDL), vector error correction models (VECMs) and the impulse response functions (IRFs) approaches. Findings: The VECM regression estimates indicate that in the long-run, ceteris paribus, a 1% increase in inflation and population growth rates cause a significant positive impact on economic progress of 0.36% and 0.68 % respectively whereas the total public debt stock causes decrease in economic growth of 0.45%. The ARDL long-run regression estimates indicate that ceteris paribus, a 1% increase in inflation and public debt significantly reduces real GDP by 0.2% and 0.03%, respectively, but a 1% increase in population growth rate increases real GDP by 23.11%. The IRF estimates show that a negative shock to the real GDP causes a mildly negative effect on the inflation rate, causes a significant positive increase in the population growth rate, which dissipates after 9.5 years and causes a significant positive increase in public debt, which dissipates after 10 years. Unique Contribution to Theory, Policy and Practice: Therefore, the study recommends that the Zambian government should prioritize repayment of the outstanding public debt by bringing down the debt-to-GDP ratio to sustainable levels, adhering to prudent public financial management and continuing to grow the domestic revenue base. The policies to promote population growth should be pursued cautiously because rapid population growth rates could erode the future economic growth prospects of Zambia.

Unwinding quantitative easing: State dependency and household heterogeneity

This paper studies the asymmetry in the macroeconomic effects of central bank asset market operations induced by state dependency and the associated role of household heterogeneity. We build a New Keynesian model with borrowers and savers in which quantitative easing and tightening operate through portfolio rebalancing between short-term and long-term government bonds. We highlight the significance of an occasionally binding zero lower bound in explaining a weaker aggregate impact of asset sales relative to asset purchases. In this context, when close to the lower bound, raising the nominal interest rate prior to unwinding quantitative easing mitigates the economic costs of monetary policy normalization. Furthermore, our results imply that household heterogeneity in combination with state dependency amplifies the revealed asymmetry, while household heterogeneity alone does not enhance the aggregate effects of asset market operations.

Þarfir netsins

Sú fallvatnsorka sem seld hefur verið til stóriðju hefur skilað óverulegum hagnaði og fyrirséð er að hún mun ekki skila verulegum hagnaði nema dregið verði úr skuldsetningu raforkufyrirtækjanna. Söluverðið er þekkt og að hluta til fast. Væntingar um að stóriðja verði leið til að styrkja iðnað í landinu og auka fjölbreytni útflutnings hafa snúist upp í andhverfu sína. Stóriðjugeirinn skapar ekki fjölda starfa og margföldunaráhrifin eru ekki mikil. Þjóðhagslseg áhrif eru mest á byggingartíma virkjananna. Niðurstaðan er að virkjun fallvatna hefur skilað litlu; orkusölu til fimm fjölþjóðafyrirtækja og óverulegum skatttekjum, utan tímabundins orkuskatts sem nú hefur verið aflagður. Fræðileg nálgun er að mestu sótt til Max Weber; annars vegar tilgátunnar um yfirburði regluveldisins, læsingu ákvarðanatöku í járnbúr, og hins vegar um að markleitin skynsemi, verkfærnin, geti umpólast þannig að leiðin verði að markmiði. Þannig hefur virkjun og orkuveita orðið að sérstakri atvinnugrein sem hefur eigin vöxt að markmiði undir yfirskini arðsemi. Yfirlýst markmið um samfélagslega ábyrgð, skyldur við nærsamfélagið og ábyrga umgengni við náttúruna eru löguð að fyrirætlunum og framkvæmd, þ.e. "heildsölu á raforku til stórnotenda innan rammaáætlunar.

Macroeconomic effects of monetary policy in Japan: an analysis using interest rate futures surprises

AbstractWe estimate the effects of monetary policy on the aggregate economy in Japan during the last three decades when the effective lower bound (ELB) on interest rates was occasionally binding. We use monetary policy surprises from the interest rate futures market as the external instrument to identify monetary policy shocks in the vector autoregressive model. We find that monetary policy has been effective in Japan during the last three decades, and the effect was more persistent in the ELB regime than in the non-ELB regime. In a simulation exercise, we further show that a New Keynesian model with forward guidance can replicate our empirical finding.

The Technical Default Spread

Abstract We study the quantitative impact of lender control rights on corporate investment, asset prices, and the aggregate economy. We build a general equilibrium model in which the breaching of a loan covenant (technical default) entails a switch in investment control rights from borrowers to lenders. Lenders optimally choose low-risk projects, thus mitigating borrowers’ risk-taking incentives and lowering the cost of equity. This mechanism generates strong macroeconomic effects and mitigates the financial accelerator. Consistent with our model, proximity to technical default in the data is associated with 4.12% lower returns and lower exposure to systematic risk.

The Impact of Interest Rate Changes on Consumer Spending

This research was justified by the need to establish the impact of shifts in interest rates on consumption expenditures, which is a key factor in economic growth. Thus, the research’s objectives are to explore the influence of monetary policy actions performed by central banks in the context of their impact on consumers. It makes it possible for any given policymaker to work out measures which are favourable for both economic growth and stability. Further, these insights are useful in deciding the future business strategy since they give the companies an idea of what to expect in the market. In general, the study aims at expanding the existing knowledge concerning the macroeconomic consequences of interest rate volatility.

Terror and taxes: how attacks impact corporate tax avoidance

Purpose The purpose of this study is to examine the effect of terrorist attacks on tax avoidance. Further, the authors identify the possible channel leading to our main result and examine the role of social pressure. Design/methodology/approach Data pertaining to terrorist attacks within the USA are procured from the Global Terrorism Database. The final sample consists of 45,524 firm-year observations from 1993 to 2017. The methodology uses ordinary least squares regressions. Findings The authors find that firms located in close proximity to terrorist attacks (i.e. impact firms) significantly decrease their tax avoidance practices after the attacks. The authors further find that these impact firms are willing to pay more taxes post attack when their headquarters are located in higher social capital regions. Originality/value Studies have mainly focused on the macroeconomic effects of terrorism, and only recently have researchers shifted their focus to firm-level impacts. The authors provide strong evidence that extends the second line of the literature by exploring corporate tax activities attributed to terrorist events.

Macroeconomic shock effects on beef carcass premiums

Macroeconomic shock effects on beef carcass premiums

To stay or to migrate? When Becker meets Harris-Todaro

Allowing migration as an integral part of demographic transition and economic development, we construct a dynamic competitive migration equilibrium framework with rural agents heterogeneous in skills and fertility preferences to establish a location-fertility trade-off and explore its macroeconomic consequences. We characterize a mixed migration equilibrium where an endogenously determined fraction of high-skilled agents with high fertility preferences or low-skilled agents with low fertility preferences ultimately moves. By calibrating the model to fit the data from China, whose migration and population control policies offer a rich array of issues for quantitative investigation, we find strong interactions between migration and fertility decisions – the location-fertility trade-off – and rich interplay between the joint responses of these choices to changes in migration and population control policies. Our results indicate that both output per capita and urbanization rates are more responsive than Total Fertility Rate (TFR) to migration and population policies: A one-percent decrease in TFR corresponds to an over one-percent increase in output per capita and a more than two-percent rise in urbanization rates. Overlooking the location-fertility trade-off may thus lead to nonnegligible biases in assessing the implications and effectiveness of government policies.

Synchronisation of Quantitative Easing and Fiscal Expansion: Macroeconomic Effects in Times of Crises

Synchronisation of Quantitative Easing and Fiscal Expansion: Macroeconomic Effects in Times of Crises

Regional inequalities in the age of nearshoring

AbstractWhile the literature is rich in anecdotal cases of firms going through nearshoring strategies, understood as the relocation of production inputs in a geographically closer area, a study on the macroeconomic effects of nearshoring at regional level, in terms of both growth and regional inequalities, is still missing. Instead, understanding the potential regional variations in the outcomes of nearshoring practices is crucial for policymakers and stakeholders aiming to strike a balance between the imperative of strategic autonomy and the need to address existing regional disparities. The paper picks up such a challenge and, once nearshoring has been defined at the macroeconomic level as a process according to which the EU relative to extra‐EU inputs ratio increases, compared with a reference period in the past, it analyses regional inequality effects of such a phenomenon in Europe. The results show that nearshoring turns out to be notably diverse and contingent upon the efficiency gains the target regions offer. In some cases, it produces potential adverse consequences, going against the already complex process of decreasing regional disparities.

Fiscal policy in the Bundestag: Textual analysis and macroeconomic effects

Fiscal policy is made in parliaments. We go to the roots of changes of fiscal policy in Germany and use a novel data set on all parliamentary speeches in the Bundestag from 1960 to 2021. We propose an embedding-based approach, which allows the representation of words and documents in a shared vector space, in order to measure fiscal policy-related sentiment in parliamentary debates at a scale from contractionary to expansionary. We also distinguish between sentiment related to exogenous and endogenous fiscal policy. We put fiscal sentiment into a series of recursively-identified vector autoregressive models to show that a change in fiscal sentiment causes a shift in government spending and has significant effects on the macroeconomy. The results support the notion that the debate in parliament contains information for the identification of government spending shocks.

The simple macroeconomics of AI

Abstract This paper evaluates claims about large macroeconomic implications of new advances in AI. It starts from a task-based model of AI’s effects, working through automation and task complementarities. So long as AI’s microeconomic effects are driven by cost savings/productivity improvements at the task level, its macroeconomic consequences will be given by a version of Hulten’s theorem: GDP and aggregate productivity gains can be estimated by what fraction of tasks are impacted and average task-level cost savings. Using existing estimates on exposure to AI and productivity improvements at the task level, these macroeconomic effects appear nontrivial but modest—no more than a 0.66% increase in total factor productivity (TFP) over 10 years. The paper then argues that even these estimates could be exaggerated, because early evidence is from easy-to-learn tasks, whereas some of the future effects will come from hard-to-learn tasks, where there are many context-dependent factors affecting decision-making and no objective outcome measures from which to learn successful performance. Consequently, predicted TFP gains over the next 10 years are even more modest and are predicted to be less than 0.53%. I also explore AI’s wage and inequality effects. I show theoretically that even when AI improves the productivity of low-skill workers in certain tasks (without creating new tasks for them), this may increase rather than reduce inequality. Empirically, I find that AI advances are unlikely to increase inequality as much as previous automation technologies because their impact is more equally distributed across demographic groups, but there is also no evidence that AI will reduce labor income inequality. Instead, AI is predicted to widen the gap between capital and labor income. Finally, some of the new tasks created by AI may have negative social value (such as design of algorithms for online manipulation), and I discuss how to incorporate the macroeconomic effects of new tasks that may have negative social value.