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This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.”

Given that China accounts for about half of global copper consumption, it is reasonable to expect that any significant change in Chinese copper consumption will have an impact on the global market.

This paper studies the effects of financial development, taking into account both formal and informal financing. Using cross-country firm-level data, we document that informal financing is utilized more by rich countries than poor countries.

Chinese real export growth decelerated considerably during the last decade. This paper argues that the slowdown largely resulted from China moving to a more sophisticated mix of exports: China produced more sophisticated goods over which it had pricing power instead of producing greater volumes of less sophisticated products.

This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.

Digital technologies—cloud computing, the Internet of Things, advanced robotics, big data analytics, artificial intelligence and machine learning, social media, 3D printing, augmented reality, virtual reality, e-money and distributed ledgers—are transforming the way busi-nesses operate. How does this transformation compare with past industrial revolutions? How are digital technologies changing production systems across industries? Agile firms that use knowledge intensively and have high levels of both organizational and human capital appear set to realize the greatest benefits from digitalization. Finally, what are the implications for productivity, labour markets, inflation and monetary policy as we transition to the digital economy?

The Big Six Canadian banks are a dominant component of the Canadian financial system. How they finance their business activities is fundamental to how effective they are. Retail and commercial deposits along with wholesale funding represent the two major sources of funds for Canadian banks. What wholesale funding instruments do the Big Six banks use? How do they choose between different funding sources, funding strategies and why? How have banks changed their funding mix since the 2007–09 global financial crisis?

Growth has slowed in many emerging-market economies (EMEs) since the 2007–09 global financial crisis, reflecting both cyclical and structural factors. In this context, it will be in-creasingly important for EMEs to raise potential growth by maintaining steady progress on structural reforms. How do structural reforms generally support growth? What are the re-form priorities for EMEs over recent history and today? Finally, what will be the impact of planned structural reforms on potential output growth among the world’s larger EMEs? These are some of the questions considered by the authors.

This paper quantifies the effects of improving public equity markets on macroeconomic aggregates and welfare. I use an open-economy extension of Angeletos (2007), where entrepreneurs face idiosyncratic productivity risk in privately held firms.

After 10 years of impressive growth, India is now the fourth largest economy in the world. Yet, to date, India's impact on global commodity markets has been muted. The authors examine how India's domestic and trade policies have distorted and constrained its demand for commodities.