This paper examines the aftermath of postwar financial crises in advanced countries. We construct a new semiannual series on financial distress in 24 OECD countries for the period 1967-2012. The series is based on assessments of the health of countries' financial systems from a consistent, real-time narrative source, and classifies financial distress on a relatively fine scale. We find that the average decline in output following a financial crisis is statistically significant and persistent, but only moderate in size. More important, we find that the average decline is sensitive to the specification and sample, and that the aftermath of crises is highly variable across major episodes. A simple forecasting exercise suggests that one important driver of the variation is the severity and persistence of financial distress itself. At the same time, we find little evidence of nonlinearities in the relationship between financial distress and the aftermaths of crises.
This statistic shows public evaluation of who was to blame for the economic problems in each country as of 2012. 78 percent of respondents in Spain felt that it was the banks and financial institutions that were most to blame for the current economic problems in their own country as of 2012.
This research was conducted in Bulgaria in February-March 2010 as part of the second round of The Financial Crisis Survey. Data from 152 establishments from private nonagricultural formal sector was analyzed to quantify the effect of the 2008 global financial crisis on companies in Bulgaria.
Researchers revisited establishments interviewed in Bulgaria Enterprise Survey 2009. Efforts were made to contact all respondents of the baseline survey to determine which of the companies were still operating and which were not. From the information collected during telephone interviews, indicators were computed to measure the effects of the financial crisis on key elements of the private economy: sales, employment, finances, and expectations of the future.
National
The primary sampling unit of the study was the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The manufacturing and services sectors were the primary business sectors of interest. This corresponded to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies were targeted for interviews. Services firms included construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government ownership were excluded.
Sample survey data [ssd]
288 establishments that participated in Bulgaria Enterprise Survey 2009 were contacted for The Financial Crisis Survey. The implementing contractor received directions that the final achieved sample should include at least 150 establishments.
For Bulgaria Enterprise Survey 2009, the sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.
Industry stratification was designed in the way that follows: the universe was stratified into 23 manufacturing industries, 2 services industries -retail and IT-, and one residual sector. Each sector had a target of 90 interviews.
Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in six regions. These regions are Severozapaden, Severen Tsentralen, Severoiztochen, Yugozapaden, Yuzhen Tsentralen and Yugoiztochen.
Two sample frames were used for Bulgaria Enterprise Survey 2009. The first was supplied by the World Bank and consisted of enterprises interviewed in BEEPS 2005. That sample was referred to as the Panel. Some of the establishments in the Panel had less than five employees. The second sample frame was purchased from the Bulgarian National Statistical Institute (BNSI). The frame contained a full list of establishments in the target sectors of the survey. The latest available version was published in 2007, although it related to updates at the end of 2005.
Computer Assisted Telephone Interview [cati]
The following survey instrument is available: - Financial Crisis Survey Questionnaire
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks and callbacks.
This research was conducted in Lithuania in June-July 2010 as part of the third round of The Financial Crisis Survey. Data from 217 establishments from private nonagricultural formal sector was analyzed to quantify the effect of the 2008 global financial crisis on companies in Lithuania.
Researchers revisited establishments interviewed in Lithuania Enterprise Survey 2009. Efforts were made to contact all respondents of the baseline survey to determine which of the companies were still operating and which were not. From the information collected during telephone interviews, indicators were computed to measure the effects of the financial crisis on key elements of the private economy: sales, employment, finances, and expectations of the future.
National
The primary sampling unit of the study was the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.
The manufacturing and services sectors were the primary business sectors of interest. This corresponded to firms classified with International Standard Industrial Classification of All Economic Activities (ISIC) codes 15-37, 45, 50-52, 55, 60-64, and 72 (ISIC Rev.3.1). Formal (registered) companies were targeted for interviews. Services firms included construction, retail, wholesale, hotels, restaurants, transport, storage, communications, and IT. Firms with 100% government ownership were excluded.
Sample survey data [ssd]
276 establishments that participated in Lithuania Enterprise Survey 2009 were contacted for The Financial Crisis Survey. The implementing contractor received directions that the final achieved sample should include at least 120 establishments.
For Lithuania Enterprise Survey 2009, the sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.
Industry stratification was designed in the way that follows: the universe was stratified into manufacturing industries, services industries, and one residual (core) sector. Each industry had a target of 90 interviews.
Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.
Regional stratification was defined in 4 regions. These regions are Coast and West, North East, South West and Vilniaus.
Given the stratified design, sample frames containing a complete and updated list of establishments for the selected regions were required. Great efforts were made to obtain the best source for these listings. However, the quality of the sample frames was not optimal and, therefore, some adjustments were needed to correct for the presence of ineligible units. These adjustments are reflected in the weights computation.
For most countries covered in 2008-2009 BEEPS two sample frames were used. The first source of the sample frame was Creditreform Lietuva - 2008- Organization database. A copy of that frame was sent to the statistical team in London to select the establishments for interview. The second frame, supplied by the World Bank/EBRD, consisted of enterprises interviewed in BEEPS 2005. The clients required that the attempts should be made to re-interview establishments responding to the BEEPS 2005 survey where they were within the selected geographical regions and met eligibility criteria. That sample is referred to as the Panel.
The quality of the frame was assessed at the onset of the project. The frame proved to be useful though it showed positive rates of non-eligibility, repetition, non-existent units, etc. These problems are typical of establishment surveys, but given the impact these inaccuracies may have on the results, adjustments were needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of contacts to complete the survey was 25.1% (446 out of 1777 establishments).
Computer Assisted Telephone Interview [cati]
The following survey instrument is available: - Financial Crisis Survey Questionnaire
Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks and callbacks.
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This dataset is about book series. It has 1 row and is filtered where the books is Global financial crisis : global impact and solutions. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in International Coordination of Economic Policies in the Global Financial Crisis: Successes, Failures, and Consequences, PIIE Working Paper 19-11.
If you use the data, please cite as: Truman, Edwin M. (2019). International Coordination of Economic Policies in the Global Financial Crisis: Successes, Failures, and Consequences. PIIE Working Paper 19-11. Peterson Institute for International Economics.
The Long Depression was, by a large margin, the longest-lasting recession in U.S. history. It began in the U.S. with the Panic of 1873, and lasted for over five years. This depression was the largest in a series of recessions at the turn of the 20th century, which proved to be a period of overall stagnation as the U.S. financial markets failed to keep pace with industrialization and changes in monetary policy. Great Depression The Great Depression, however, is widely considered to have been the most severe recession in U.S. history. Following the Wall Street Crash in 1929, the country's economy collapsed, wages fell and a quarter of the workforce was unemployed. It would take almost four years for recovery to begin. Additionally, U.S. expansion and integration in international markets allowed the depression to become a global event, which became a major catalyst in the build up to the Second World War. Decreasing severity When comparing recessions before and after the Great Depression, they have generally become shorter and less frequent over time. Only three recessions in the latter period have lasted more than one year. Additionally, while there were 12 recessions between 1880 and 1920, there were only six recessions between 1980 and 2020. The most severe recession in recent years was the financial crisis of 2007 (known as the Great Recession), where irresponsible lending policies and lack of government regulation allowed for a property bubble to develop and become detached from the economy over time, this eventually became untenable and the bubble burst. Although the causes of both the Great Depression and Great Recession were similar in many aspects, economists have been able to use historical evidence to try and predict, prevent, or limit the impact of future recessions.
This data package includes the underlying data files to replicate the data and charts presented in Egypt’s 2023-24 economic crisis: Will this time be different? by Ruchir Agarwal and Adnan Mazarei, PIIE Policy Brief 24-6.
If you use the data, please cite as: Agarwal, Ruchir, and Adnan Mazarei. 2024. Egypt’s 2023-24 economic crisis: Will this time be different?. PIIE Policy Brief 24-6. Washington, DC: Peterson Institute for International Economics.
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Explore The economic and financial crisis : impacts on an emerging economy : Ukraine through data • Key facts: author, publication date, book publisher, book series, book subjects • Real-time news, visualizations and datasets
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An empirical model of multiple asset classes across countries is formulated in a latent factor framework. A special feature of the model is that financial market linkages during periods of financial crises, including spillover and contagion effects, are formally specified. The model also captures a range of common factors including global shocks, country and market shocks, and idiosyncratic shocks. The framework is applied to modelling linkages between currency and equity markets during the East Asian financial crisis of 1997-98. The results provide strong evidence that cross-market links are important. Spillovers have a relatively larger effect on volatility than contagion, but both are statistically significant.
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The article starts by examining the idea of conservation laws as applied to market economies. It formulates a measure of financial entropy and gives numerical simula-tions indicating that this tends to rise. We discuss an analogue for free energy released during this process. The concepts of real and symbolic appropriation are introduced as a means to analyse debt and taxation. We then examine the conflict between the conservation laws that apply to commodity exchange with the exponential growth implied by capital accumulation and how these have necessitated a sequence of evolutionary forms for money, and go on to present a simple stochastic model for the formation of rates of interest and a model for the time evolution of the rate of profit.
Do international lenders of last resort create financial instability by generating moral hazard? The evidence is thin and plagued with measurement error. We use the number of American troops hosted by third countries to measure the strength of American commitment to ensuring the countries’ economic health. We test several hypotheses against a dataset covering about sixty-eight countries between 1960 and 2009. Using evidence from fixed-effects and instrumental-variable models, we find that increasing the number of US troops by one standard deviation above the mean raises the probability of a financial crisis in the host country by up to 13 percentage points. We also investigate the channels through which moral hazard materializes. Countries with more US troops conduct more expansionary fiscal and monetary policies, implement riskier financial regulations, and receive more capital, especially from US banks. While many scholars of international relations view the American overseas military presence as a source of stability, we identify an underexplored mechanism by which it generates instability.
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We performed a comprehensive time series segmentation study on the 36 Nikkei Jap anese industry indices from 1 January 1996 to 11 June 2010. From the temporal distributions of the clustered segments, we found that the Japanese economy never fully recovered from the extended 1997–2003 crisis, and responded to the most recent global financial crisis in five stages. Of these, the second and main stage affecting 21 industries lasted only 27 days, in contrast to the two-and-a-half-years across-the-board recovery from the 1997–2003 financial crisis. We constructed the minimum spanning trees (MSTs) to visualize the Pearson cross correlations between Japanese industries over five macroeconomic periods: (i) 1997–1999 (Asian Financial Crisis), (ii) 2000–2002 (Technology Bubble Crisis), (iii) 2003–2006 (economic growth), (iv) 2007–2008 (Subprime Crisis), and (iv) 2008–2010 (Lehman Brothers Crisis). In these MSTs, the Chemicals and Electric Machinery industries are consistently hubs. Finally, we present evidence from the segment-to-segment MSTs for flights to quality within the Japanese stock market.
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ABSTRACT The 2007-2008 international financial crisis (IFC) and the ‘Great Recession’ (GR) had worldwide effects. In the case of Argentina and Brazil, the reduction and improvement in composition of public external debt, the previous policy of international reserves accumulation combined with left-wing political affinity between governments, provided some space for countercyclical macroeconomic policies. Consequently, its governments were able to face the IFC and GR without following traditional tightened or pro-cyclical macroeconomic policies. This article examines the consequences of the IFC and the GR in Argentina and Brazil and the countercyclical macroeconomic policies that were implemented during the period 2009-2014.
https://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58
Formaat: Adobe FlashOmvang: 4,8 MBDuur: 02:21Online beschikbaar: [07-01-2015]Standard Youtube LicenseUploaded on Mar 14, 2011Beschrijving:In a two-part series, Martin Khor addresses issues relating to debt and international trade. Since the debt crisis began in the 1970s, many developing countries have had to agree to new loan conditions imposed on them by the International Monetary Fund (IMF). These conditions, of benefit to many western commercial interests, often prevent national governments from implementing their own key economic, development and environmental policies. Trade liberalization is one such condition. Dr Khor describes the adverse effects a liberal trade agenda can have on these countries, particularly on their farmers and small industries. He argues that developing countries must be given the freedom to adopt policies of their own. Finally, he welcomes the G8's decision to cancel the debt of some 18 countries, but warns that the terms and scope will need careful study.Dit betreft enkel deel 1, deel 2 is opgeslagen als "Handboek kwalitatief onderzoek: kunst én kunde - 10. "Martin Khor - Debt in the Developing World—Part Two".
This paper studies the long run effects of financial crises using new bank and town level data from around the Great Depression. We find evidence that banking markets became much more concentrated in areas that experienced a greater initial collapse in the local banking system. There is also evidence that financial regulation after the Great Depression, and in particular limits on bank branching, may have helped to render the effects of the initial collapse persistent. All of this suggests a reason why post-crisis financial regulation, while potentially reducing financial instability, might also have longer run real consequences.
This paper takes stock of what we have learned from the "Renaissance" in fiscal research in the ten years since the financial crisis. I first discuss the new innovations in methodology and various strengths and weaknesses of the main approaches to estimating fiscal multipliers. Reviewing the estimates, I come to the surprising conclusion that the bulk of the estimates for average spending and tax change multipliers lie in a fairly narrow range, 0.6 to 1 for spending multipliers and -2 to -3 for tax change multipliers. However, I identify economic circumstances in which multipliers lie outside those ranges. Finally, I review the debate on whether multipliers were higher for the 2009 Obama stimulus spending in the United States or for fiscal consolidations in Europe.
https://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58
Larry Elliott and Dan Atkinson on how the excesses of banks, big business and the super-rich have shattered our economic systemFormaat: PDFOmvang: 141 kbOnline beschikbaar: [01-12-2014]This article appeared on p10 of the G2 section of the Guardian on Wednesday 4 June 2008. It was published on the Guardian website at 00.01 BST on Wednesday 4 June 2008. It was last modified at 08.34 BST on Wednesday 4 June 2008. It was first published at 00.04 BST on Wednesday 4 June 2008.© Larry Elliott and Dan Atkinson 2008.
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Statistical results of the optimal performed model after financial crisis -daily frequency.
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We investigate the impact of an economic downturn on natality and birth weight for newborns when parents prefer sons. We examine South Korea, unexpectedly hit by the Asian financial crisis in 1997. For identification, we exploit regional and time variation in the crisis, focusing on women who were already pregnant when the downturn began. We find that the number of girls would have been 2% higher absent the crisis and that birth outcomes for girls were no better than those for boys-findings that differ from the Trivers-Willard Hypothesis. This relative disadvantage of girls is more severe among newborns who have at least two older siblings.
This paper examines the aftermath of postwar financial crises in advanced countries. We construct a new semiannual series on financial distress in 24 OECD countries for the period 1967-2012. The series is based on assessments of the health of countries' financial systems from a consistent, real-time narrative source, and classifies financial distress on a relatively fine scale. We find that the average decline in output following a financial crisis is statistically significant and persistent, but only moderate in size. More important, we find that the average decline is sensitive to the specification and sample, and that the aftermath of crises is highly variable across major episodes. A simple forecasting exercise suggests that one important driver of the variation is the severity and persistence of financial distress itself. At the same time, we find little evidence of nonlinearities in the relationship between financial distress and the aftermaths of crises.