Mr.Haonan Qu

Ms.Aleksandra Zdzienicka

Davide Furceri

Mr.Shekhar Aiyar

Yi Ji

Mr.Romain A Duval

Daniel Garcia-Macia

Mr.John C Bluedorn

Davide Malacrino

Jesse Siminitz

Cross-country differences in economic resilience—in an economy’s ability to withstand and adjust to shocks—remain significant in the euro area. In part, the differences reflect the lack of a national nominal exchange rate as a mechanism to adjust to shocks. The IMF staff has argued that union-wide architectural changes such as the banking union, the capital markets union, and a central fiscal capacity can help foster greater international risk sharing. Yet even these changes cannot insure against all shocks. National policies thus have a vital role to play. This IMF staff discussion note analyzes how national structural policies can help euro area countries better deal with economic shocks. Using a mix of empirical and modeling approaches, the note finds that growth-enhancing reforms to labor and product market regulations, tailored to country-specific circumstances, would help individual euro area economies weather adverse shocks. Higher-quality insolvency regimes are associated with more efficient factor reallocation following a shock. The note also finds that structural and cyclical policies interact. Greater rigidities make economies more fragile, putting a higher burden on fiscal policy. This is especially true for members of a monetary union. Countries should build fiscal space in good times and tackle rigidities, reducing their need for countercyclical policies in bad times while making countercyclical policies more effective when deployed.

The Role of National Structural Reforms in Building Resilience

Strengthening the Euro Area

Shengrong Gong

Chunping Liu

Baojiang Zhong

Yonggang Li

Husheng Dong

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

Advanced Image and Video Processing Using MATLAB

Yi Ji

Books

Your next favorite book is out there