The post-pandemic rise in consumer prices across the world has renewed interest in inflation dynamics after decades of global disinflation. This paper provides a spatial investigation of inflation synchronicity at the city level in Lithuania using disaggregated monthly data during the period 2000–2021. The empirical analysis provides strong evidence that (i) the co-movement of city-level inflation rates—estimated using the instantaneous quasi-correlation approach—is significantly weaker than the extent of synchronization suggested by the simple correlation analysis; (ii) there is substantial heterogeneity in the instantaneous quasi-correlation of inflation subcomponents between city pairs; and (iii) there are significant changes in the degree of city-level synchronization over time, reflecting important economic developments in history such as the global financial crisis, the adoption of euro, and the COVID-19 pandemic.

The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.

The strong post-pandemic economic recovery was leading to an overheating economy and demand-side inflationary pressures. The war in Ukraine, including its impact on commodity prices, has, however, negatively impacted economic activity and further intensified inflationary pressures. With higher inflation for longer, policies should aim at preserving stability over the near-term while supporting the economy adapt to a higher interest rate environment over the medium-term. Although the current sociopolitical situation is less conducive to structural reforms, these remain key to ensuring sustained productivity growth that will support high wage growth and faster income convergence with Western Europe.

This edition of the World Economic Outlook explores how a dramatic escalation of the financial crisis in September 2008 provoked an unprecedented contraction of activity and trade, despite active policy responses. It presents economic projections for 2009 and 2010, and also looks beyond the current crisis, considering factors that will shape the landscape of the global economy over the medium term, as businesses and households seek to repair the damage. The analysis also outlines the difficult policy challenges presented by the overwhelming imperative to take all steps necessary to restore financial stability and revive the global economy, and the longer-run need for national actions to be mutually supporting. The first of two analytical chapters, "What Kind of Economic Recovery?" explores the shape of the eventual recovery. The second, "The Transmission of Financial Stress from Advanced to Emerging and Developing Economies," focuses on the role of external financial linkages and financial stress in transmitting economic shocks.

This paper asks how well Okun’s Law fits short-run unemployment movements in the United States since 1948 and in twenty advanced economies since 1980. We find that Okun’s Law isa strong and stable relationship in most countries, one that did not change substantiallyduring the Great Recession. Accounts of breakdowns in the Law, such as the emergence of“jobless recoveries,” are flawed. We also find that the coefficient in the relationship—the effect of a one percent change in output on the unemployment rate—varies substantially across countries. This variation is partly explained by idiosyncratic features of national labormarkets, but it is not related to differences in employment protection legislation.

This guide is the result of a UN-Habitat initiative to provide local leaders and decision makers with the tools to support urban planning good practice. It includes several "how to" sections on all aspects of urban planning, including how to build resilience and reduce climate risks, with an example from Sorsogon, Philippines. It outlines practical ways to create and implement a vision for a city that will better prepare it to cope with growth and change. The overall guide offers insights from real experiences on what it takes to have an impact and to transform an urban reality through urban planning. It clearly links planning and financing and presents many successful practices that emphasize strategies to address real issues. It aims to inform leaders about the value that urban planning could bring to their cities and to facili.

Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.