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The article investigates potential output and output gap modelling and estimation in the Czech Republic in the period 1996-2021, including the global recession from 2008 and the recent crisis caused by government measures against the COVID-19 pandemic. The unobserved components (UC) methodology is applied, coefficients are estimated by the maximum likelihood method, unobserved variables are estimated using the Kalman filter. The standard UC model is modified in an original way to nonlinearly describe the hysteresis effect by allowing the output gap to have an asymmetrical influence on potential output. The econometric model verification proved significance of the hysteresis effect and showed a substantial inertia of negative consequences of both crises. Predictions of an impact of the War in Ukraine on the gap were also calculated and the uncertainty associated with these predictions was quantified.
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This article connects two salient economic features: (i) Fiscal shocks have asymmetric effects across business cycle phases (Gechert, Horn, & Paetz, 2019);(ii) the unemployment‐output trade‐off is time varying and may be unstable. The intertwined dynamic behaviour of fiscal deficit shocks and the unemployment‐output trade‐off is studied in this article using a time‐varying parameter (TVP) vector autoregression (VAR) with stochastic volatility techniques applied to the analysis of data from Canada, France, Germany, Japan, Spain, Sweden, United Kingdom and the United States of America. We confirm the trade‐off heterogeneity across country, and its time‐varying nature across time, showing in addition its fluctuation around a long‐run reference value. We document significant short‐run impacts of fiscal shocks on the unemployment‐output trade‐off which, based on the experience of the Global Financial Crisis, becomes larger in periods of economic turmoil. Policy‐wise, the rebalancing of public finances may have unexpected adverse effects on job creation if implemented during slumps, precisely when the labour market sensitivity with respect to the performance of the product market is likely to be more acute. This message is particularly relevant in the aftermath of the Covid‐19 pandemic.
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This paper documents the short-run macroeconomic impacts of influenza pandemics across 16 countries spanning 1871-2016 using the Jordà-Schularick-Taylor Macrohistory Database and the Human Mortality Database. We find pandemic-induced mortality contributed meaningfully to business cycle fluctuations in the post 1870 era. We identify negative causal impacts on the cyclical component of GDP using pandemics to instrument for working-age mortality. The analysis of short-run economic outcomes extends literature dominated by long-run economic growth outcomes and case studies of several specific health shocks such as the Black Death, Spanish Flu or COVID-19. Our findings illustrate that less catastrophic pandemics still have important economic implications.
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This paper proposes a reference quarterly chronology for periods of expansion and recession in France since 1970, carried out by the Dating Committee of the French Economic Association. The methodology is based on two pillars: 1) econometric estimations from various key data to identify candidate periods, and 2) a narrative approach that describes the economic background that prevailed at that time to finalize the dating chronology. Starting from 1970, the Committee has identified four economic recession periods: the two oil shocks 1974-1975 and 1980, the investment cycle of 1992-1993, and the Great Recession 2008-2009. For the Covid recession, the peak is dated in the last quarter of 2019 and the trough in the second quarter of 2020.
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PurposeThe main motivation of the present study is to understand the severity of the effect of health shock on Iran's oil economy and analyze the role of government under these conditions.Design/methodology/approachDynamic stochastic general equilibrium (DSGE) models can show the precise interactions between market decision-makers in the context of general equilibrium. Since the duration of the virus outbreak and its effect on the economy is not known, it is more appropriate to use these models.FindingsThe results of the survey of hands-on policies scenarios compared to the state of hands-off policy indicate that the effect of government expending shocks on the economy under pandemic disease conditions has much less feedback on macroeconomic variables.Originality/valueAs a proposed policy, it is recommended that the government play a stabilizing role under pandemic disease conditions.Key messages There is no study regarding health shock and its economic effects in Iran using DSGE models. Also, in foreign studies, the health shock in an oil economy has not been modeled.The general idea in the present study is how the prevalence of a pandemic infectious disease affects the dynamics of macroeconomic variables.In three different scenarios, according to the persistence of health disaster risk and the deterioration rate of health capital due to this shock, the model is simulated.In modeling pandemic diseases, quarantine hours are considered as part of the total time of individuals.According to the research findings, it is recommended that the government, as a policy-maker, play a stabilizing role under pandemic crises conditions.
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The economic and public health crisis caused by COVID-19 was devastating and disproportionately hurt Blacks and Hispanics and some other groups. Unemployment rates and other measures of material hardship were higher and increased more during the crisis among Blacks and Hispanics than among non-Hispanic Whites. Congress authorized a historic policy response, incorporating both targeted and universal supports, and expanding both the level and duration of benefits. This response yielded the remarkable result of an estimated decline in the Supplemental Poverty Measure between 2019 and 2020. We study administrative data to investigate the impact of the Supplemental Nutrition Assistance Program (SNAP) during the crisis. We find that participation in SNAP increased more in counties that experienced a larger employment shock. By contrast, the increase in total SNAP benefits was inversely related to the employment shock. The SNAP benefit increases were less generous to Black and Hispanic SNAP participants than to White.
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The consequences of graduating in a recession could be severe and long-lasting. Bachelor's graduates can, however, avoid entering the labour market by continuing their education. Using a Norwegian dataset containing information on all graduates and their applications to and enrolment in master's degree programmes over a 15-year period, we find that a one percentage point increase in the field-specific unemployment rate results in a 6.5 percentage points increase in applications and a 3.9 percentage points increase in enrolment. Moreover, using a survey of the 2020 bachelor's graduates cohort, that is, the Covid-19 cohort, we find evidence indicating that those pushed into a master's degree by conditions in the labour market differ substantially from those whose decision to enrol in a master's degree is not driven by labour market conditions.
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Based on a calibrated real options model, this paper examines a tax-subsidy program offered by a government to stimulate corporate investment under business cycles. We derive and discuss optimal incentive policies for different states of the economy. We find that it is optimal for the government to offer a combination of tax cuts and lump-sum subsidy for stimulating levered firms' investment under business cycles. Furthermore, the government should adopt counter-cyclical tax-subsidy policy, namely a higher (lower) tax cuts and a larger (smaller) lump-sum subsidy during recessions (booms). In particular, we provide a possible explanation why many governments around the world have reduced and even implemented negative interest rates to stimulate the economy during the COVID-19 pandemic in 2020. Finally, our conclusions also predict that the break-even tax-subsidy program always provides effective investment stimulus under business cycles. © 2023 Elsevier Inc.
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This research documents multidimensional facets of public value provided by public sector employment in regional Australia. Evidence and estimates of the contribution and impact of public sector employment to regional labour markets and economic activity are documented for the Illawarra, South Coast and Capital regions of New South Wales, Australia. Using a mixed methods approach, results presented illustrate that public sector employment embodies a significantly larger proportion of total employment and economic activity in most regional labour markets compared to Greater Sydney or Australia in general. Other analyses reveal both counter-seasonal and countercyclical contributions of public sector income and spending to regional economic activity. The main finding of this research is that public sector employment provides a stable foundation to regional economies that are otherwise strongly influenced by seasonal patterns associated with tourism and agriculture. The importance of public sector employment to the regional economies has been amplified in recent crisis periods associated with large scale bushfires and COVID-19.
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South Africa's fiscal balances have deteriorated significantly over the last decade, although the economy has been recording disappointing economic growth rates even prior to the COVID‐19 crisis. In this paper, we estimate a series of equations to test how sovereign risk premia affect capital buffers, while controlling for variables identified in the literature, such as size of banks and the economic cycle. Unlike other studies, we use actual capital buffers. We show that these are substantively different to the proxy buffers calculated using the common approach in the literature, indicating that results based on proxy measures should be interpreted with caution. Our overall results show a positive relationship between the sovereign risk premium and capital buffers. This suggests that banks are accumulating capital to mitigate against fiscal and other domestic policy risks. It is likely that this is contributing to higher lending rates.
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PurposeThe authors examine the short-term stock market reaction surrounding US layoffs during the coronavirus disease 2019 (COVID-19) period. The authors' specific interest is on any changes that may be observed in US stock markets during the COVID-19 outbreak. This information will help us assess the extent to which policymakers adopted at time revenue and expenditures measures to minimize its negative impact.Design/methodology/approachThe authors study the linkage between layoffs announced by firms and stock markets in US for the COVID-19 period between March 2020 and October 2020. This period shows important economic figures;a huge number of job cuts announced by blue-chip companies listed in the New York Stock Exchange (NYSE) due to widespread economic shutdowns. The authors examine whether and to what extent stock markets in US have reacted to layoff announcements during the COVID-19 pandemic using an event-study methodology.FindingsThe study's results show that US layoffs during the pandemic did not cause any abnormalities on the stock returns, either positive or negative. Based on the mean-adjusted volume, the authors find that layoffs increase the stocks' trading volume, especially on the event date and the day following the event. US stocks become more volatile on the days following the event. Interestingly, on the event date, the authors find that stocks get the highest abnormal volatility;however, the result is statistically insignificant.Practical implicationsThe authors suggest that layoffs announcements follow the business cycle quite closely in most industries. The study's results have implications for investors, regulators and policymakers as they permit to examine the effectiveness of the measures adopted.Social implicationsThe study's results show that policymakers reduced uncertainty implementing intensive measures quickly and should follow similar policy in the future pandemic and/or unexpected events.Originality/valueThis paper contributes to the literature in two directions: First, to the best of the authors' knowledge this is the first study that provides empirical evidence and assesses the extent to which a major global shock such as the COVID-19 pandemic may have altered the reaction of US stock markets to layoff announcements. Second, this is the first study on this topic that examines volume and volatility abnormalities, while the authors check the robustness of the findings with different methods to calculate abnormal returns.
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PurposeThis study aims to analyze the impact of COVID-19 on housing price within four major metropolitan areas in Texas: Austin, Dallas, Houston and San Antonio. The analysis intends to understand economic and mobility drivers behind the housing market under the inclusion of fixed and random effects.Design/methodology/approachThis study used a linear mixed effects model to assess the socioeconomic and housing and transport-related factors contributing to median home prices in four major cities in Texas and to capture unobserved factors operating at spatial and temporal level during the COVID-19 pandemic.FindingsThe regression results indicated that an increase in new COVID-19 cases resulted in an increase in housing price. Additionally, housing price had a significant and negative relationship with the following variables: business cycle index, mortgage rate, percent of single-family homes, population density and foot traffic. Interestingly, unemployment claims did not have a significant impact on housing price, contrary to previous COVID-19 housing market related literature.Originality/valuePrevious literature analyzed the housing market within the first phase of COVID-19, whereas this study analyzed the effects of the COVID-19 throughout the entirety of 2020. The mixed model includes spatial and temporal analyses as well as provides insight into how quantitative-based mobility behavior impacted housing price, rather than relying on qualitative indicators such as shutdown order implementation.
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As the European Central Bank implements a common monetary policy for all member states, the effectiveness of the policy hinges upon the synchronization and similarity of inflation and GDP growth between them. We examine the consequences of COVID-19 outbreak for GDP growth and inflation of the Eurozone countries. We find that business cycles have been diverging since the aftermath of the Financial Crisis;however, the outbreak of COVID-19 brought about synchronization on a record scale. However, this increase in comovement is accompanied by an increase in the dissimilarity in the rates of GDP growth. Ergo, synchronization without similarity.
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This paper investigates the impact of recent recessions on the origins of productivity growth. We show how business cycles affect productivity growth, with particular attention for the impact of job reallocation and labor hoarding. We find evidence that recessions induce productivity enhancing job reallocation in manufacturing but not in services industries and show that labor hoarding mitigates this cleansing effect of recessions. Furthermore, we show how entry and exit of firms and industry dynamics shape the evolution of aggregate productivity.Plain English SummaryDuring recessions, governments support firms via temporary unemployment programs to save jobs. A side effect is that job reallocation and exit of low-productive firms can be distorted, while such cleansing effects typically spur productivity growth. This paper investigates how recessions affect productivity growth, with particular attention for the impact of job reallocation and labor hoarding. We find evidence that recessions induce productivity enhancing job reallocation in manufacturing but not in services industries and show that labor hoarding mitigates this cleansing effect of recessions. Furthermore, we show how entry and exit of firms and industry dynamics shape the evolution of aggregate productivity. As many developed economies struggle with a slowdown in productivity growth, it is important that policy makers understand the impact of recessions on the micro origins of productivity growth and are aware of how temporary policies during recessions could affect long-term productivity growth.
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The objective of this work is to assess the effect of implementing countercyclical macroprudential regulation in Mexico with the objective of verify whether this type of policy is welfare-improving. Using a DSGE model, two kinds of macroprudential rules are tested: countercyclical bank capital requirements and countercyclical loan-to-value ratios. Results suggest that these rules are welfare-improving and avoid the formation of credit bubbles as well as facilitate loans in the presence of macroeconomic crises. Results suggest that the use of countercyclical rules is effective in keeping the debt level according to its long-term equilibrium. This paper presents a theoretical framework to analyze banking regulation for policy purposes and is the first attempt to analyze countercyclical regulation in Mexico using a microfounded model. Results can be used to rationalize the use of macroprudential tools during the COVID‑19 pandemic given the current interventions in the Mexican banking system. © 2021 The Author(s).
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PurposeThis study aims to assess the effect of the COVID 19 on small and medium-sized family firms' risk-taking in Iraq.Design/methodology/approachData was collected by distributing the questioners. The statistical population consists of 600 employers and small and medium-sized family and non-family firm managers. Hypothesis analysis was carried out after evaluating the questionnaire's validity and reliability using the structural equation method.FindingsThe results indicate that COVID 19 influences small and medium-size family and non-family firms' risk-taking.Originality/valueSince no study carried out so far on the effect of COVID 19 on risk-taking of family and non-family Iraqi small- and medium-enterprise firms and since the political-economic condition of Iraq has been affected recently due to the presence of ISIS, its effects, as well as the civil war that taken place before COVID 19, assessing such a topic can contribute to the development of science and knowledge in this field.
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This article investigates the determinants and consequences of manipulating COVID-19 statistics in an authoritarian federation using the Russian case. It abandons the interpretation of the authoritarian regime as a unitary actor and acknowledges the need to account for a complex interaction of various bureaucratic and political players to understand the spread and the logic of manipulation. Our estimation strategy takes advantage of a natural experiment where the onset of the pandemic adjourned the national referendum enabling new presidential terms for Putin. To implement the rescheduled referendum, Putin needed sub-national elites to manufacture favourable COVID-19 statistics to convince the public that the pandemic was under control. While virtually all regions engaged in data manipulation, there was a substantial variation in the degree of misreporting. A third of this variation can be explained by an asynchronous schedule of regional governors' elections, winning which depends almost exclusively on support from the federal authorities.
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The Great Financial Crisis and the COVID-19 pandemic have raised concerns about business cycles. In this paper, we examine the dynamics of past business cycles in CAEMC economies to infer the shapes of recessions and subsequent recoveries. We use annual GDP data covering the period 1960-2020 and non-parametric approach. The main results are fourfold. First, recessions are, on average, long with a positive duration dependence relationship and the strength of recoveries is independent of the duration and the depth of the associated recessions. Second, recessions and recoveries are not all alike, meaning that history cannot be used as a guide for forecasting issue. Third, nearly 45% of the recessions and subsequent recoveries are V-shaped, and the L, U and W patterns appear when governments are heavily indebted. Fourth, a regional cycle sometimes emerges. The results suggest a strengthening of the capacities of CAEMC states and a resilient supply chain management.
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Os ciclos econômicos possuem uma dinâmica que se manifesta no formato de ondas. A inflexão da fase de auge econômico (boom) para a fase de recessão é o momento de crise. Menosprezada por muitos, pode-se afirmar que os efeitos da crise pandêmica decorrente da Covid-19 ganharam implicações típicas de uma grande crise global, sobretudo no Brasil. Neste cenário de pandemia, segundo a Organização Mundial da Saúde (OMS), a economia global foi inserida numa grave crise socioeconômica. O objetivo fundamental do presente artigo é discutir a concepção conceitual de crise e de movimentos cíclicos em tempos de pandemia de Covid-19 e as principais implicações socioeconômicas no Brasil. Para alcançar esse objetivo, o artigo fará uso de metodologia de pesquisa do tipo exploratória e qualitativa. A principal conclusão é a de que a crise pandêmica trouxe para o Brasil uma série de problemas econômicos, tais como: desemprego e alta inflacionária, porém o fato mais grave foram os problemas de ordem social, principalmente o aumento significativo da pobreza e da desigualdade social. O uso do "auxílio emergencial", como política anticíclica e de apoio as estratificações sociais mais vulneráveis em tempos de pandemia, foi de extrema importância por ter criado um "colchão" de proteção social. Entretanto, tendo como base uma série de dados oficiais, pode-se afirmar que o governo Bolsonaro não conseguiu lograr êxito em sua empreitada para mitigar os impactos socioeconômicos da crise de Covid-19 no Brasil, muito disso por conta de uma retórica negacionista e de muita desinformação (fake news) em relação as vacinasAlternate :Economic cycles have a dynamic that manifests itself in the form of waves. The inflection from the economic boom phase to the recession phase is the moment of crisis. Disregarded by many, it can be said that the effects of the pandemic crisis resulting from Covid-19 have gained typical implications of a major global crisis, especially in Brazil. In this pandemic scenario, according to the World Health Organization (WHO), the global economy has been inserted into a serious socioeconomic crisis. The fundamental objective of this article is to discuss the conceptual conception of crisis and cyclical movements in times of the Covid-19 pandemic and the main socioeconomic implications in Brazil. To achieve this objective, the article will use exploratory and qualitative research methodology. The main conclusion is that the pandemic crisis brought to Brazil a series of economic problems, such as unemployment and high inflation, but the most serious fact was the social problems, mainly the significant increase in poverty and social inequality. . The use of "auxílio emergencial", as a counter-cyclical policy and to support the most vulnerable social stratifications in times of a pandemic, was extremely important for having created a "mattress" of social protection. However, based on a series of official data, it can be said that the Bolsonaro government was unable to succeed in its endeavor to mitigate the socioeconomic impacts of the Covid-19 crisis in Brazil, much of it due to denialist rhetoric and a lot of disinformation (fake news) about vaccines.
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Undoubtedly, the development of the renewable energy sector is linked to the goals of sustainable development [16,17,18,19], where the greatest emphasis is placed on caring for the environment and transitioning from classical energy sources to renewable and non-carbon sources. The authors emphasize the importance of a harmonized energy transition process, noting that the suspension of energy transformation processes may move from one region to the entire member state, or that it is possible for the economy of one of the countries, or a group of countries, to undergo a serious economic crisis. [...]eventualities would bring some countries back to the starting point and jeopardize the future of the entire EU energy project [24]. In [28], the authors focus on energy consumption in health care facilities, trying to set the determinants of electricity and thermal energy costs in relation to the size and intensity of work in Polish clinics. The authors of [29] deal with factors determining the demand for energy consumption from renewable sources in European countries.