Search

Begin New Search Topic Early Warning Political Geography Global Focus

1. Is “High Inflation” Always and Everywhere an Exchange Rate Phenomenon?

Author:
Tural Yusifzada, Hasan Cömert, and Kagan Parmaksiz
Publication Date:
10-2024
Content Type:
Working Paper
Institution:
Political Economy Research Institute (PERI), University of Massachusetts Amherst
Abstract:
After decades of stable and low levels of inflation throughout the world, the recent global upsurge in inflation has once again triggered extensive debate among economists about the underlying reasons for the rising trend in inflation. This study aims to contribute to this ongoing discussion by exploring a potential channel that could be fundamental to our understanding of the high inflation levels common across a large number of countries. Drawing upon a rich historical dataset spanning from 1961 to 2023 and employing a random effects panel probit model, our research reveals that the nominal exchange rate depreciation emerges as a strong predictor of “high inflation” episodes across different economies and time periods. Notably, this predictive capability extends to countries with varying income levels, with high-income, upper-middle-income, and lower-middle-income nations exhibiting success rates of 70%, 77%, and 63%, respectively, in forecasting “high inflation” based solely on exchange rate depreciation. Furthermore, food and energy prices also emerge as other important contributors to inflation. These findings have important implications for recognizing exchange rate depreciation as a vital early warning signal for high inflation not only facilitates more timely and effective policy interventions but also emphasizes the critical role of historical exchange rate dynamics and supplyside factors in comprehending the complexities of “high inflation.”
Topic:
Economy, Inflation, Exchange Rates, Early Warning, and Panel Probit Model
Political Geography:
Global Focus

2. Countries at Risk for Intrastate Mass Killing 2024–25: Early Warning Project Statistical Risk Assessment Results

Author:
Simon-Skjodt Center for the Prevention of Genocide
Publication Date:
12-2024
Content Type:
Special Report
Institution:
Simon-Skjodt Center for the Prevention of Genocide, United States Holocaust Memorial Museum
Abstract:
Policy makers face the challenge of simultaneously responding to ongoing mass atrocities and trying to prevent entirely new mass atrocity situations. A critical first step toward prevention is accurate and reliable assessment of countries at risk for future violence. The Early Warning Project’s Statistical Risk Assessment uses publicly available data and statistical modeling to produce a list of countries ranked by their estimated risk of experiencing a new episode, or onset, of intrastate mass killing. This report aims to help identify countries where preventive actions may be needed. Earlier identification of risk broadens the scope of possible preventive actions. In essence, our statistical model identifies patterns in historical data to answer the following question: Which countries today look most similar to countries that experienced mass killings in the past, in the year or two before those mass killings began? The historical data include basic country characteristics, as well as data on governance, war and conflict, human rights and civil liberties, and socioeconomic factors. This report highlights findings from our Statistical Risk Assessment for 2024–25, focusing on: Countries with the highest estimated risk of a new mass killing in 2024 or 2025 Countries where estimated risk has been consistently high over multiple years Countries where estimated risk has increased or decreased significantly from our last assessment Countries with unexpected results We emphasize that this assessment is just one tool. It is meant to be a starting point for discussion and further research, not a definitive conclusion. We aim to help governments, international organizations, and nongovernmental organizations determine where to devote resources for additional analysis, policy attention, and, ultimately, preventive action. We hope that this report and our Early Warning Project as a whole inspire governments and other organizations to invest in their own early warning capabilities.
Topic:
Genocide, Atrocity Prevention, Early Warning, and Risk Assessment
Political Geography:
Global Focus

3. Can Emerging Technologies Lead a Revival of Conflict Early Warning/Early Action? Lessons from the Field

Author:
Branka Panic
Publication Date:
04-2022
Content Type:
Special Report
Institution:
Center on International Cooperation (CIC)
Abstract:
The early warning/early action (EWEA) community has been working for decades on analytics to help prevent conflict. The field has evolved significantly since its inception in the 1970s and 80s. The systems have served with variable success to predict conflict trends, alert communities to risk, inform decision makers, provide inputs to action strategies, and initiate a response to violent conflict. Present systems must now address the increasingly complex and protracted nature of conflicts in which factors previously considered peripheral have become core elements in conflict dynamics.
Topic:
Science and Technology, Conflict, Risk, and Early Warning
Political Geography:
Global Focus

4. Behavior Change in the Face of Disaster Risk Finance

Author:
Theodore Ezike
Publication Date:
09-2022
Content Type:
Working Paper
Institution:
Feinstein International Center, Tufts University
Abstract:
Large-scale Disaster Risk Finance (DRF) mechanisms are relatively new tools in the field of humanitarian assistance and anticipatory action that can have significant positive effects on disaster recovery. However, there is a lack of analysis on how DRF can affect behavior or risk perception, which is important for countries to understand. We sought to answer two questions in this Conversation Starter: Does the presence of DRF or similar mechanisms cause behavior change in people covered and if so, how? What role does risk communication play in DRF and behavior change? Drawing on findings from similar programs, such as community health and microfinance, provided insights on areas where DRF may have impact on behavior. The available research indicates that disasters make people risk averse and that insurance and other DRF mechanisms can enable beneficial outcomes. Trust in public institutions, ideally the ones that manage DRF, alongside accurate and timely information from government or other relevant actors, is needed for acceptable levels of risk to be communicated and for appropriate corresponding actions to be taken,
Topic:
Climate Change, Natural Disasters, Risk, Resilience, Safety Net, and Early Warning
Political Geography:
Global Focus

5. Fragile States Index 2021 – Annual Report

Author:
Natalie Fiertz, Nate Haken, Patricia Taft, Emily Sample, and Wendy Wilson
Publication Date:
05-2021
Content Type:
Special Report
Institution:
The Fund for Peace
Abstract:
The Fragile States Index, produced by The Fund for Peace, is a critical tool in highlighting not only the normal pressures that all states experience, but also in identifying when those pressures are pushing a state towards the brink of failure. By highlighting pertinent issues in weak and failing states, The Fragile States Index—and the social science framework and software application upon which it is built—makes political risk assessment and early warning of conflict accessible to policy-makers and the public at large.
Topic:
Climate Change, Authoritarianism, Employment, Fragile States, Economy, Political stability, Conflict, Crisis Management, Peace, Resilience, COVID-19, Health Crisis, Early Warning, and Risk Assessment
Political Geography:
Africa, Europe, Middle East, Tajikistan, Germany, Armenia, Central America, Spain, Lebanon, Timor-Leste, North America, Ethiopia, Southeast Asia, El Salvador, Global Focus, and United States of America