We undertake an extended discussion of the latest developments about the existing and new estimation methods of the shadow economy. New results on the shadow economy for 158 countries all over the world are presented over 1991 to 2015. Strengths and weaknesses of these methods are assessed and a critical comparison and evaluation of the methods is carried out. The average size of the shadow economy of the 158 countries over 1991 to 2015 is 31.9 percent. The largest ones are Zimbabwe with 60.6 percent, and Bolivia with 62.3 percent of GDP. The lowest ones are Austria with 8.9 percent, and Switzerland with 7.2 percent. The new methods, especially the new macro method, Currency Demand Approach (CDA) and Multiple Indicators Multiple Causes (MIMIC) in a structured hybrid-model based estimation procedure, are promising approaches from an econometric standpoint, alongside some new micro estimates. These estimations come quite close to others used by statistical offices or based on surveys.

Industrial policy is tainted with bad reputation among policymakers and academics and is often viewed as the road to perdition for developing economies. Yet the success of the Asian Miracles with industrial policy stands as an uncomfortable story that many ignore or claim it cannot be replicated. Using a theory and empirical evidence, we argue that one can learn more from miracles than failures. We suggest three key principles behind their success: (i) the support of domestic producers in sophisticated industries, beyond the initial comparative advantage; (ii) export orientation; and (iii) the pursuit of fierce competition with strict accountability.

The past two decades have seen a rapid increase in interest in financial inclusion, both from policymakers and researchers. This paper surveys the main findings from the literature, documenting the trends over time and gaps that have arisen across regions, income levels, and gender, among others. It points out that structural, as well as policy-related, factors, such as encouraging banking competition or channeling government payments through bank accounts, play an important role, and describes the potential macro and microeconomic benefits that can be derived from greater financial inclusion. It argues that policy should aim to identify and reduce frictions holding back financial inclusion, rather than targeting specific levels of inclusion. Finally, it suggests areas for future research.

There has been much discussion about eliminating the “zero lower bound” by eliminating paper currency. But such a radical and difficult approach as eliminating paper currency is not necessary. Much as during the Great Depression—when countries were able to revive their economies by going off the gold standard—all that is needed to empower monetary policy to cut interest rates as much as needed for economic stimulus now is to change from a paper standard to an electronic money standard, and to be willing to have paper currency go away from par. This paper develops the idea further and shows how such a mechanism can be implemented in a minimalist way by using a time-varying paper currency deposit fee between private banks and the central bank. This allows the central bank to create a crawling-peg exchange rate between paper currency and electronic money; the paper currency interest rate can be either lowered below zero or raised above zero. Such an ability to vary the paper currency interest rate along with other key interest rates, makes it possible to stimulate investment and net exports as much as needed to revive the economy, even when inflation, interest rates, and economic activity are quite low, as they are currently in many countries. The paper also examines different options available to the central bank to return to par when negative interest rates are no longer needed, and the associated implications for the financial sector and debt contracts. Finally, the paper discusses various legal, political, and economic challenges of putting in place such a framework and how policymakers could address them.

Some central banks have maintained overvalued official exchange rates, while unable to ensure that supply of foreign exchange meets legitimate demand for current account transactions at that price. A parallel exchange rate market develops, in such circumstances; and when the spread between the official and parallel rates is both substantial and sustained, price levels in the economy typically reflect the parallel market exchange rate. “Recognizing reality” by allowing economic agents to use a market clearing rate benefits economic activity without necessarily leading to more inflation. But a unified, market-clearing exchange rate will not stabilize without a supportive fiscal and monetary context. A number of country case studies are included; my thanks to Jie Ren for pulling together all the data for the country case studies, and the production of the charts.

The United States – Mexico – Canada Agreement (USMCA) was signed on November 30, 2018 and aims to replace and modernize the North-American Free Trade Agreement (NAFTA). This paper uses a global, multisector, computable-general-equilibrium model to provide an analytical assessment of five key provisions in the new agreement, including tighter rules of origin in the automotive, textiles and apparel sectors, more liberalized agricultural trade, and other trade facilitation measures. The results show that together these provisions would adversely affect trade in the automotive, textiles and apparel sectors, while generating modest aggregate gains in terms of welfare, mostly driven by improved goods market access, with a negligible effect on real GDP. The welfare benefits from USMCA would be greatly enhanced with the elimination of U.S. tariffs on steel and aluminum imports from Canada and Mexico and the elimination of the Canadian and Mexican import surtaxes imposed after the U.S. tariffs were put in place.

The level and trend in cash use in a country will influence the demand for central bank digital currency (CBDC). While access to digital currency will be more convenient than traveling to an ATM, it only makes CBDC like a bank debit card—not better. Demand for digital currency will thus be weak in countries where cash use is already very low, due to a preference for cash substitutes (cards, electronic money, mobile phone payments). Where cash use is very high, demand should be stronger, due to a lack of cash substitutes. As the demand for CBDC is tied to the current level of cash use, we estimate the level and trend in cash use for 11 countries using four different measures. A tentative forecast of cash use is also made. After showing that declining cash use is largely associated with demographic change, we tie the level of cash use to the likely demand for CBDC in different countries. In this process, we suggest that one measure of cash use is more useful than the others. If cash is important for monetary policy, payment instrument competition, or as an alternative payment instrument in the event of operational problems with privately supplied payment methods, the introduction of CBDC may best be introduced before cash substitutes become so ubiquitous that the viability of CBDC could be in doubt.

In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries’ predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we model non-parametrically the contemporaneous interdependencies across the United States, the euro area, and China via a conditional kernel density estimation of a joint distribution. Then, we characterize the potential ampli?cation e?ects stemming from other large economies in each region—also with kernel density estimations—and the reaction of all other economies with para-metric assumptions. Importantly, each economy’s predictive density also depends on a set of observable country-speci?c factors. Finally, the use of sampling techniques allows us to aggregate individual countries’ densities into a world aggregate while preserving the non-i.i.d. nature of the global GDP growth distribution. Out-of-sample metrics con?rm the accuracy of our approach.

The COVID-19 outbreak and the measures to contain the virus have caused severe disruptions to labor supply and demand worldwide. Understanding who is bearing the burden of the crisis and what drives it is crucial for designing policies going forward. Using the U.S. monthly Current Population Survey data, this paper analyzes differences in employment responses between men and women. The main finding is that less educated women with young children were the most adversely affected during the first nine months of the crisis.The loss of employment of women with young children due to the burden of additional childcare is estimated to account for 45 percent of the increase in the employment gender gap, and to reduce total output by 0.36 percent between April and November 2020.

Kurzarbeit (KA), Germany’s short-time work program, is widely credited with saving jobs and supporting domestic demand during the COVID-19 recession. We quantify the impact by exploiting state-level variation in exposure to the pandemic shock and KA take-up. We construct a shift-share measure of the labor demand shock and instrument KA take-up using the pre-existing, state-specific share of workers eligible for KA. We find, first, that KA was crucial in mitigating unemployment: absent its expansion the unemployment rate would have increased by an additional 3 pp on average at the trough of the recession. Second, KA also bolstered domestic demand: the contraction in consumption could have been 2 to 3 times larger absent the program. Finally, we provide preliminary evidence on the sensitivity of the medium-run reallocation of resources to the prevalence of jobretention schemes during the Global Financial Crisis.