Again and again, Latin America has seen the populist scenario played to an unfortunate end. Upon gaining power, populist governments attempt to revive the economy through massive spending. After an initial recovery, inflation reemerges and the government responds with wage an price controls. Shortages, overvaluation, burgeoning deficits, and capital flight soon precipitate economic crisis, with a subsequent collapse of the populist regime. The lessons of this experience are especially valuable for countries in Eastern Europe, as they face major political and economic decisions. Economists and political scientists from the United States and Latin America detail in this volume how and why such programs go wrong and what leads policymakers to repeatedly adopt these policies despite a history of failure. Authors examine this pattern in Argentina, Brazil, Chile, Mexico, Nicaragua, and Peru—and show how Colombia managed to avoid it. Despite differences in how each country implemented its policies, the macroeconomic consequences were remarkably similar. Scholars of Latin America will find this work a valuable resource, offering a distinctive macroeconomic perspective on the continuing controversy over the dynamics of populism.

The “middle-income trap” is the phenomenon of hitherto rapidly growing economies stagnating at middle-income levels and failing to graduate into the ranks of high-income countries. In this study we examine the middle-income trap as a special case of growth slowdowns, which are identified as large sudden and sustained deviations from the growth path predicted by a basic conditional convergence framework. We then examine their determinants by means of probit regressions, looking into the role of institutions, demography, infrastructure, the macroeconomic environment, output structure and trade structure. Two variants of Bayesian Model Averaging are used as robustness checks. The results—including some that indeed speak to the special status of middle-income countries—are then used to derive policy implications, with a particular focus on Asian economies.

We evaluate the direct employment effect of the public investment in key infrastructure—electricity, roads, schools and hospitals, and water and sanitation. Using rich firm-level panel data from 41 countries over 19 years, we estimate that US$1 million of public spending in infrastructure create 3–7 jobs in advanced economies, 10–17 jobs in emerging market economies, and 16–30 jobs in low-income developing countries. As a comparison, US$1 million public spending on R&D yields 5–11 jobs in R&D in OECD countries. Green investment and investment with a larger R&D component deliver higher employment effect. Overall, we estimate that one percent of global GDP in public investment can create more than seven million jobs worldwide through its direct employment effects alone.

We explore the impact of major labor and product market reforms on current account dynamics using a new “narrative” database of major changes in employment protection for regular workers and product market regulation for non-manufacturing industries covering 26 advanced economies over the past four decades. Our main finding is that product market deregulation is associated with a weakening of the current account, while labor market deregulation is associated with an improvement. These effects are transitory and driven by both saving and investment responses. Labor and product market reforms both have a more positive impact on the current account balance when implemented under weak macroeconomic conditions. Our results are broadly consistent with predictions from recent DSGE models with endogenous producer entry and labor market frictions.

This paper develops a model based on Schumpeter's process of creative destruction. It departs from existing models of endogenous growth in emphasizing obsolescence of old technologies induced by the accumulation of knowledge and the resulting process or industrial innovations. This has both positive and normative implications for growth. In positive terms, the prospect of a high level of research in the future can deter research today by threatening the fruits of that research with rapid obsolescence. In normative terms, obsolescence creates a negative externality from innovations, and hence a tendency for laissez-faire economies to generate too many innovations, i.e too much growth. This "business-stealing" effect is partly compensated by the fact that innovations tend to be too small under laissez-faire. The model possesses a unique balanced growth equilibrium in which the log of GNP follows a random walk with drift. The size of the drift is the average growth rate of the economy and it is endogenous to the model ; in particular it depends on the size and likelihood of innovations resulting from research and also on the degree of market power available to an innovator.

Simple macroeconomic frameworks like the IS/LM have survived because they help us conceptualize complex problems while also providing ‘back of the envelope’ estimates of macroeconomic outcomes. Herein, a bare-bones New Keynesian extension of the IS/LM model yields solutions for core macro variables (output gap, inflation, interest rate, real exchange rate misvaluation)—expressed in percent. We then extend that standard model to also generate a corresponding set of demand-side elements—expressed in currency units. A key aim of the paper is to reconcile these two metrics in ways that also aid communication and intuition—including through IS/LM-style graphs.

There are, by now, several long term, time series data sets on important housing & macro variables, such as land prices, house prices, and the housing wealth-to-income ratio. However, an appropriate theory that can be employed to think about such data and associated research questions has been lacking. We present a new housing & macro model that is designed specifically to analyze the long term. As an illustrative application, we demonstrate that the calibrated model replicates, with remarkable accuracy, the historical evolution of housing wealth (relative to income) after World War II and suggests a further considerable increase in the future. The model also accounts for the close connection of house prices to land prices in the data. We also compare our framework to the canonical housing & macro model, typically employed to analyze business cycles, and highlight the main differences.