Showing papers in "Journal of Economic Perspectives in 2018"

Social Connectedness: Measurement, Determinants, and Effects

Abstract: Social networks can shape many aspects of social and economic activity: migration and trade, job-seeking, innovation, consumer preferences and sentiment, public health, social mobility, and more. In turn, social networks themselves are associated with geographic proximity, historical ties, political boundaries, and other factors. Traditionally, the unavailability of large-scale and representative data on social connectedness between individuals or geographic regions has posed a challenge for empirical research on social networks. More recently, a body of such research has begun to emerge using data on social connectedness from online social networking services such as Facebook, LinkedIn, and Twitter. To date, most of these research projects have been built on anonymized administrative microdata from Facebook, typically by working with coauthor teams that include Facebook employees. However, there is an inherent limit to the number of researchers that will be able to work with social network data through such collaborations. In this paper, we therefore introduce a new measure of social connectedness at the US county level. Our Social Connectedness Index is based on friendship links on Facebook, the global online social networking service. Specifically, the Social Connectedness Index corresponds to the relative frequency of Facebook friendship links between every county-pair in the United States, and between every US county and every foreign country. Given Facebook's scale as well as the relative representativeness of Facebook's user body, these data provide the first comprehensive measure of friendship networks at a national level.

The Economic Implications of Housing Supply

Abstract: In this essay, we review the basic economics of housing supply and the functioning of US housing markets to better understand the distribution of home prices, household wealth, and the spatial distribution of people across markets. We employ a cost-based approach to gauge whether a housing market is delivering appropriately priced units. Specifically, we investigate whether market prices (roughly) equal the costs of producing the housing unit. If so, the market is well-functioning in the sense that it efficiently delivers housing units at their production cost. The gap between price and production cost can be understood as a regulatory tax. The available evidence suggests, but does not definitively prove, that the implicit tax on development created by housing regulations is higher in many areas than any reasonable negative externalities associated with new construction. We discuss two main effects of developments in housing prices: on patterns of household wealth and on the incentives for relocation to high-wage, high-productivity areas. Finally, we turn to policy implications.

Identification in Macroeconomics

Abstract: This paper discusses empirical approaches macroeconomists use to answer questions like: What does monetary policy do? How large are the effects of fiscal stimulus? What caused the Great Recession? Why do some countries grow faster than others? Identification of causal effects plays two roles in this process. In certain cases, progress can be made using the direct approach of identifying plausibly exogenous variation in a policy and using this variation to assess the effect of the policy. However, external validity concerns limit what can be learned in this way. Carefully identified causal effects estimates can also be used as moments in a structural moment matching exercise. We use the term “identified moments” as a short-hand for “estimates of responses to identified structural shocks,” or what applied microeconomists would call “causal effects.” We argue that such identified moments are often powerful diagnostic tools for distinguishing between important classes of models (and thereby learning ...

Are Risk Preferences Stable

Abstract: It is ultimately an empirical question whether risk preferences are stable over time. The evidence comes from diverse strands of literature, covering the stability of risk preferences in panel data over shorter periods of time, life-cycle dynamics in risk preferences, the possibly long-lasting effects of exogenous shocks on risk preferences as well as temporary variations in risk preferences. Individual risk preferences appear to be persistent and moderately stable over time, but their degree of stability is too low to be reconciled with the assumption of perfect stability in neoclassical economic theory. We offer an alternative conceptual framework for preference stability that builds on research regarding the stability of personality traits in psychology. The definition of stability used in psychology implies high levels of rank-order stability across individuals and not that the individual will maintain the same level of a trait over time. Preference parameters are considered as distributions with a mean that is significantly but less than perfectly stable, plus some systematic variance. This framework accommodates evidence on systematic changes in risk preferences over the life cycle, due to exogenous shocks such as economic crises or natural catastrophes, and due to temporary changes in self-control resources, emotions, or stress. We note that research on the stability of (risk) preferences is conceptually at the heart of microeconomics and systematic changes in risk preferences have vital real-world consequences.

The Cost of Reducing Greenhouse Gas Emissions

Abstract: Most countries, including the United States, have an array of greenhouse gas mitigation policies, which provide subsidies or restrictions typically aimed at specific technologies or sectors. Such climate policies range from automobile fuel economy standards, to gasoline taxes, to mandating that a certain amount of electricity in a state comes from renewables, to subsidizing solar and wind electrical generation, to mandates requiring the blending of biofuels into the surface transportation fuel supply, to supply-side restrictions on fossil fuel extraction. This paper reviews the costs of various technologies and actions aimed at reducing greenhouse gas emissions. Our aim is twofold. First, we seek to provide an up-to-date summary of costs of actions that can be taken now using currently available technology. These costs focus on expenditures and emissions reductions over the life of a project compared to some business-as-usual benchmark—for example, replacing coal-fired electricity generation with wind, or weatherizing a home. We refer to these costs as static because they are costs over the life of a specific project undertaken now, and they ignore spillovers. Our second aim is to distinguish between dynamic and static costs and to argue that some actions taken today with seemingly high static costs can have low dynamic costs, and vice versa. We make this argument at a general level and through two case studies, of solar panels and of electric vehicles, technologies whose costs have fallen sharply. Under the right circumstances, dynamic effects will offer a justification for policies that have high costs according to a myopic calculation.

What Do Trade Agreements Really Do

Abstract: As trade agreements have evolved and gone beyond import tariffs and quotas into regulatory rules and harmonization, they have become more difficult to fit into received economic theory. Nevertheless, most economists continue to regard trade agreements such as the Trans Pacific Partnership (TPP) favorably. The default view seems to be that these arrangements get us closer to free trade by reducing transaction costs associated with regulatory differences or explicit protectionism. An alternative perspective is that trade agreements are the result of rent-seeking, self-interested behavior on the part of politically well-connected firms – international banks, pharmaceutical companies, multinational firms. They may result in freer, mutually beneficial trade, through exchange of market access. But they are as likely to produce purely redistributive outcomes under the guise of “freer trade.”

Quantifying Economic Damages from Climate Change

Abstract: Author(s): Auffhammer, M | Abstract: Climate scientists have spent billions of dollars and eons of supercomputer time studying how increased concentrations of greenhouse gases and changes in the reflectivity of the earth’s surface affect dimensions of the climate system relevant to human society: surface temperature, precipitation, humidity, and sea levels. Recent incarnations of physical climate models have become sophisticated enough to be able to simulate intensities and frequencies of some extreme events, like tropical storms, under different warming scenarios. In a stark juxtaposition, the efforts involved in and the public resources targeted at understanding how these physical changes translate into economic impacts are disproportionately smaller, with most of the major models being developed and maintained with little to no public funding support. The goal of this paper is first to shed light on how (mostly) economists have gone about calculating the “social cost of carbon” for regulatory purposes and to provide an overview of the past and currently used estimates. In the second part, I will focus on where empirical economists may have the highest value added in this enterprise: specifically, the calibration and estimation of economic damage functions, which map weather patterns transformed by climate change into economic benefits and damages. A broad variety of econometric methods have recently been used to parameterize the dose (climate) response (economic outcome) functions. The paper seeks to provide an accessible and comprehensive overview of how economists think about parameterizing damage functions and quantifying the economic damages of climate change.

On DSGE Models

Abstract: The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy A central challenge facing policymakers is how to assess the relative strength of those forces Economists have a range of tools that can be used to make such assessments Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner We review the state of mainstream DSGE models before the financial crisis and the Great Recession We then describe how DSGE models are estimated and evaluated We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath We discuss how current DSGE models are actually used by policymakers We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks

Finance and Business Cycles: The Credit-Driven Household Demand Channel

Abstract: What is the role of the financial sector in explaining business cycles? This question is as old as the field of macroeconomics, and an extensive body of research conducted since the Global Financial Crisis of 2008 has offered new answers. The specific idea put forward in this article is that expansions in credit supply, operating primarily through household demand, have been an important driver of business cycles. We call this the credit-driven household demand channel. While this channel helps explain the recent global recession, it also describes economic cycles in many countries over the past 40 years.

Microeconomic Heterogeneity and Macroeconomic Shocks

Abstract: In this essay, we discuss the emerging literature in macroeconomics that combines heterogeneous agent models, nominal rigidities, and aggregate shocks. This literature opens the door to the analysis of distributional issues, economic fluctuations, and stabilization policies—all within the same framework. In response to the limitations of the representative agent approach to economic fluctuations, a new framework has emerged that combines key features of heterogeneous agents (HA) and New Keynesian (NK) economies. These HANK models offer a much more accurate representation of household consumption behavior and can generate realistic distributions of income, wealth, and, albeit to a lesser degree, household balance sheets. At the same time, they can accommodate many sources of macroeconomic fluctuations, including those driven by aggregate demand. In sum, they provide a rich theoretical framework for quantitative analysis of the interaction between cross-sectional distributions and aggregate dynamics. In this article, we outline a state-of-the-art version of HANK together with its representative agent counterpart, and convey two broad messages about the role of household heterogeneity for the response of the macroeconomy to aggregate shocks: 1) the similarity between the Representative Agent New Keynesian (RANK) and HANK frameworks depends crucially on the shock being analyzed; and 2) certain important macroeconomic questions concerning economic fluctuations can only be addressed within heterogeneous agent models.

What Happened: Financial Factors in the Great Recession

Abstract: At the onset of the recent global financial crisis, the workhorse macroeconomic models assumed frictionless financial markets. These frameworks were thus not able to anticipate the crisis, nor to analyze how the disruption of credit markets changed what initially appeared like a mild downturn into the Great Recession. Since that time, an explosion of both theoretical and empirical research has investigated how the financial crisis emerged and how it was transmitted to the real sector. The goal of this paper is to describe what we have learned from this new research and how it can be used to understand what happened during the Great Recession. In the process, we also present some new empirical work. We argue that a complete description of the Great Recession must take account of the financial distress facing both households and banks and, as the crisis unfolded, nonfinancial firms as well. Exploiting both panel data and time series methods, we analyze the contribution of the house price decline, v...

Nonmonetary Incentives and the Implications of Work as a Source of Meaning

Abstract: Empirical research in economics has begun to explore the idea that workers care about nonmonetary aspects of work. An increasing number of economic studies using survey and experimental methods have shown that nonmonetary incentives and nonpecuniary aspects of one's job have substantial impacts on job satisfaction, productivity, and labor supply. By drawing on this evidence and relating it to the literature in psychology, this paper argues that work represents much more than simply earning an income: for many people, work is a source of meaning. In the next section, we give an economic interpretation of meaningful work and emphasize how it is affected by the mission of the organization and the extent to which job design fulfills the three psychological needs at the basis of self-determination theory: autonomy, competence, and relatedness. We point to the evidence that not everyone cares about having a meaningful job and discuss potential sources of this heterogeneity. We sketch a theoretical framework to start to formalize work as a source of meaning and think about how to incorporate this idea into agency theory and labor supply models. We discuss how workers' search for meaning may affect the design of monetary and nonmonetary incentives. We conclude by suggesting some insights and open questions for future research.

Universal Basic Incomes versus Targeted Transfers: Anti-Poverty Programs in Developing Countries

Abstract: Of the 17 Sustainable Development Goals articulated by the United Nations, number one is the elimination of extreme poverty by 2030. While future economic growth should continue to reduce poverty, it will not solve the problem by itself; thus, there is a potentially important role for national-level transfer programs that assist poor families in developing countries. Such programs are often run by developing country governments. Many countries have implemented transfer programs that seek to target beneficiaries: that is, to identify who is poor and then to restrict transfers to those individuals. Some people have begun to advocate for "universal basic income" programs, which dispense with trying to identify the poor and instead provide transfers to everyone. We begin by considering the universal basic income as part of the solution to an optimal income-taxation problem, focusing on the case of developing countries, where there is limited income data and inclusion in the formal tax system is low. We examine how the targeting of transfer programs is conducted in these settings, and provide empirical evidence on the tradeoffs involved between universal basic income and targeted transfer schemes using data from Indonesia and Peru—two countries that run nationwide transfer programs that are targeted to the poor. We conclude by linking our findings back to the broader policy debate on what tools should be preferred for redistribution, as well as the practical challenges of administering them in developing countries.

Homeownership and the American Dream

Abstract: For decades, it was taken as a given that an increased homeownership rate was a desirable goal But after the financial crises and Great Recession, in which roughly eight million homes were foreclosed on and about $7 trillion in home equity was erased, economists and policymakers are re-evaluating the role of homeownership in the American Dream Many question whether the American Dream should really include homeownership or instead focus more on other aspects of upward mobility, and most acknowledge that homeownership is not for everyone We take a detailed look at US homeownership from three different perspectives: 1) an international perspective, comparing US homeownership rates with those of other nations; 2) a demographic perspective, examining the correlation between changes in the US homeownership rate between 1985 and 2015 and factors like age, race/ethnicity, education, family status, and income; 3) and, a financial benefits perspective, using national data since 2002 to calculate the internal rate of return to homeownership compared to alternative investments Our overall conclusion: homeownership is a valuable institution While two decades of policies in the 1990s and early 2000s may have put too much faith in the benefits of homeownership, the pendulum seems to have swung too far the other way, and many now may have too little faith in homeownership as part of the American Dream

Risk Preference: A View from Psychology.

Abstract: Psychology offers conceptual and analytic tools that can advance the discussion on the nature of risk preference and its measurement in the behavioral sciences. We discuss the revealed and stated preference measurement traditions, which have coexisted in both psychology and economics in the study of risk preferences, and explore issues of temporal stability, convergent validity, and predictive validity with regard to measurement of risk preferences. As for temporal stability, does risk preference as a psychological trait show a degree of stability over time that approximates what has been established for other major traits, such as intelligence, or, alternatively, are they more similar in stability to transitory psychological states, such as emotional states? Convergent validity refers to the degree to which different measures of a psychological construct capture a common underlying characteristic or trait. Do measures of risk preference all capture a unitary psychological trait that is indicative of risky behavior across various domains, or do they capture various traits that independently contribute to risky behavior in specific areas of life, such as financial, health, and recreational domains? Predictive validity refers to the extent to which a psychological trait has power in forecasting behavior. Intelligence and major personality traits have been shown to predict important life outcomes, such as academic and professional achievement, which suggests there could be studies of the short- and long-term outcomes of risk preference—something lacking in current psychological (and economic) research. We discuss the current empirical knowledge on risk preferences in light of these considerations.

Outside the Box: Unconventional Monetary Policy in the Great Recession and Beyond

Abstract: This paper provides an overview of unconventional monetary policy as implemented by the U.S. Federal Reserve after the global financial crisis. First, it reviews the key features of the Fed’s Quantitative Easing and Forward Guidance policies. Second, it discusses the mechanisms through which the two policies may have affected financial markets, institutions, and the overall economy. Third, it surveys the evidence on the policies’ financial and economic impacts. Fourth, it considers some of the policies’ unintended side effects. The paper concludes with some thoughts on how unconventional monetary policy might be used in the future.

Should We Reject the Natural Rate Hypothesis

Abstract: Fifty years ago, Milton Friedman articulated the natural rate hypothesis. It was composed of two sub-hypotheses: First, the natural rate of unemployment is independent of monetary policy. Second, there is no long-run trade-off between the deviation of unemployment from the natural rate and inflation. Both propositions have been challenged. The paper reviews the arguments and the macro and micro evidence against each. It concludes that, in each case, the evidence is suggestive, but not conclusive. Policymakers should keep the natural rate hypothesis as their null hypothesis, but keep an open mind and put some weight on the alternatives.

Unconventional Monetary Policies in the Euro Area, Japan, and the United Kingdom

Abstract: The global financial crisis hit hard in the euro area, the United Kingdom, and Japan. Real GDP from peak to trough contracted by about 6 percent in the euro area and the United Kingdom and by 9 percent in Japan. In all three cases, central banks cut interest rates aggressively and then, as policy rates approached zero, deployed a variety of untested and unconventional monetary policies. In doing so, they hoped to restore the functioning of financial markets, and also to provide further monetary policy accommodation once the policy rate reached the zero lower bound. In all three jurisdictions, the strategy entailed generous liquidity support for banks and other financial intermediaries and large-scale purchases of public (and in some cases private) assets. As a result, central banks' balance sheets expanded to unprecedented levels. This paper examines the experience with unconventional monetary policies in the euro zone, the United Kingdom, and Japan. The paper starts with a discussion of how quantitative easing, forward guidance, and negative interest rate policies work in theory, and some of their potential side effects. It then reviews the implementation of unconventional monetary policy by the European Central Bank, the Bank of England, and the Bank of Japan, including a narrative of how central banks responded to the crisis and the evidence on the effects of unconventional monetary policy actions.

New Perspectives on the Decline of US Manufacturing Employment

Abstract: We use relatively unexplored dimensions of US microdata to examine how US manufacturing employment has evolved across industries, firms, establishments, and regions. These data provide support for both trade- and technology-based explanations of the overall decline of employment over this period, while also highlighting the difficulties of estimating an overall contribution for each mechanism. Toward that end, we discuss how more careful analysis of these trends might yield sharper insights.

Compensation and Incentives in the Workplace

Abstract: Labor is supplied because most of us must work to live. Indeed, it is called "work" in part because without compensation, the overwhelming majority of workers would not otherwise perform the tasks. The theme of this essay is that incentives affect behavior and that economics as a science has made good progress in specifying how compensation and its form influences worker effort. This is a broad topic, and the purpose here is not a comprehensive literature review on each of many topics. Instead, a sample of some of the most applicable papers are discussed with the goal of demonstrating that compensation, incentives, and productivity are inseparably linked.

Frictions or Mental Gaps: What's Behind the Information We (Don't) Use and When Do We Care?

Abstract: Consumers suffer significant losses from not acting on available information These losses stem from frictions such as search costs, switching costs, and rational inattention, as well as what we call mental gaps resulting from wrong priors/worldviews, or relevant features of a problem not being top of mind Most research studying such losses does not empirically distinguish between these mechanisms Instead, we show that most highly cited papers in this area presume one mechanism underlies consumer choices and assume away other potential explanations, or collapse many mechanisms together We discuss the empirical difficulties that arise in distinguishing between different mechanisms, and some promising approaches for making progress in doing so We also assess when it is more or less important for researchers to distinguish between these mechanisms Approaches that seek to identify true value from demand, without specifying mechanisms behind this wedge, are most useful when researchers are interested in evaluating allocation policies that strongly steer consumers towards better options with regulation, traditional policy instruments, and defaults On the other hand, understanding the precise mechanisms underlying consumer losses is essential to predicting the impact of mechanism policies aimed primarily at reducing specific frictions or mental gaps without otherwise steering consumers We make the case that papers engaging with these questions empirically should be clear about whether their analyses distinguish between mechanisms behind poorly informed choices, and what that implies for the questions they can answer We present examples from several empirical contexts to highlight these distinctions

Exchange-Traded Funds 101 for Economists

Abstract: Exchange-traded funds (ETFs) represent one of the most important financial innovations in decades. An ETF is an investment vehicle, with a specific architecture that typically seeks to track the performance of a specific index. The first US-listed ETF, the SPDR, was launched by State Street in January 1993 and seeks to track the S&P 500 index. It is still today the largest ETF by far, with assets of $178 billion. Following the introduction of the SPDR, new ETFs were launched tracking broad domestic and international indices, and more specialized sector, region, or country indexes. In recent years, ETFs have grown substantially in assets, diversity, and market significance, including substantial increases in assets in bond ETFs and so-called "smart beta" funds that track certain investment strategies often used by actively traded mutual funds and hedge funds. In this paper, we begin by describing the structure and organization of exchange-traded funds, contrasting them with mutual funds, which are close relatives of exchange-traded funds, describing the differences in how ETFs operate and their potential advantages in terms of liquidity, lower expenses, tax efficiency, and transparency. We then turn to concerns over whether the rise in ETFs may raise unexpected risks for investors or greater instability in financial markets. While concerns over financial fragility are worth serious consideration, some of the common concerns are overstated, and for others, a number of rules and practices are already in place that offer a substantial margin of safety.

An Economist's Guide to Climate Change Science

Abstract: Climate change management is a global challenge that requires social science as much as it requires natural science. We provide a brief introduction to the physical science of climate change, written to provide essential background for economists and other social scientists. We also highlight some key areas in which economists—including those studying macroeconomics, political economy, and development—are in a unique position to help climate science advance.

Modeling Risk Aversion in Economics

Abstract: To capture the risk-aversion intuition, the standard approach in economics has been to utilize the model of expected utility, in which risk aversion derives from diminishing marginal utility for wealth (or diminishing marginal utility for aggregate consumption). The expected utility model for risk aversion has been used to derive many important insights. But over the years, economists and psychologists have identified various problematic issues with expected utility as a descriptive model of choice. In this article, we urge economists to take seriously the research agenda of developing and assessing different ways to model risk aversion. We proceed in three main steps. First, we highlight that the basic intuition of risk aversion that drives many results in economics is not intimately tied to expected utility. Second, we describe a few alternative models that can also capture the basic intuition of risk aversion. Finally, we discuss that, while expected utility and the alternative models might all capture the basic intuition of risk aversion, the alternative models can generate additional, more nuanced implications not shared with expected utility, that in some cases seem to be borne out by data. We emphasize that these alternative models also are not perfect, and further research is needed to identify even better approaches.

Space, the Final Economic Frontier

Abstract: After decades of centralized control of economic activity in space, NASA and US policymakers have begun to cede the direction of human activities in space to commercial companies. NASA garnered more than 0.7 percent of GDP in the mid-1960s, but is only around 0.1 percent of GDP today. Meanwhile, space has become big business, with $300 billion in annual revenue. The shift from public to private priorities in space is especially significant because a widely shared goal among commercial space's leaders is the achievement of a large-scale, largely self-sufficient, developed space economy. Jeff Bezos, has stated that the mission of his firm Blue Origin is "millions of people living and working in space." Elon Musk, founder of SpaceX, has laid out plans to build a city of a million people on Mars within the next century. Both Neil deGrasse Tyson and Peter Diamandis have been given credit for stating that Earth's first trillionaire will be an asteroid-miner. Such visions are clearly not going to become reality in the near future. But detailed roadmaps to them are being produced and recent progress in the required technologies has been dramatic. If such space-economy visions are even partially realized, the implications for society will be enormous. Though economists should treat the prospect of a developed space economy with healthy skepticism, it would be irresponsible to treat it as science fiction. In this article, I provide an analytical framework—based on classic economic analysis of the role of government in market economies—for understanding and managing the development of the space economy.

On the Relationship between Cognitive Ability and Risk Preference

Abstract: Many decisions of individuals involve a combination of internal preferences and mental processes related to cognitive ability. As Frederick (2005) argued in this journal, "there is no good reason for ignoring the possibility that general intelligence or various more specific cognitive abilities are important causal determinants of decision making." Since then, a number of empirical studies have focused on the relationship between cognitive ability and decision-making in different contexts. This paper will focus on the relationship between cognitive ability and decision-making under risk and uncertainty. Taken as a whole, this research indicates that cognitive ability is associated with risk-taking behavior in various contexts and life domains, including incentivized choices between lotteries in controlled environments, behavior in nonexperimental settings, and self-reported tendency to take risks. We begin by clarifying some important distinctions between concepts and measurement of risk preference and cognitive ability. In particular, complexity and possible confusions arise because observed measures of risk preference and cognitive ability are used to represent the latent characteristics of these concepts. We discuss the substantial (and somewhat implausible) range of assumptions that need to be satisfied in order to be able to interpret a correlation between measures of risk preference and cognitive ability as a relationship between latent risk preference and latent cognitive ability. Drawing causal inferences from such relationships raises additional challenges. We go on to argue that it is nevertheless important and valuable to study whether cognitive ability is related to measured risk preference (see also Dohmen, Falk, Huffman, and Sunde 2010). Risk preference is typically measured by risky behavior (actual or self-reported). If risky behavior varies systematically with cognitive ability, this may reinforce or counteract the impact of cognitive ability on life outcomes, depending on the nature of the correlation. If there is a relationship, it also becomes important to control for cognitive ability when relating life outcomes to standard revealed preference measures of risk preference. If cognitive ability has a causal impact on measured risk preference, it is important to understand the mechanism, and some intriguing policy implications arise. We then take stock of what is known empirically on the connections between cognitive ability and measured risk preferences, looking at studies using real-world risky behavior, experimental measures of risky choice, and self-reported measures of willingness to take risks. One pattern that emerges frequently in these studies is that cognitive ability tends to be positively correlated with avoidance of harmful risky situations, but it tends to be negatively correlated with risk aversion in advantageous situations. This suggests that the relationship between cognitive ability and risk taking has a reinforcing effect on economic outcomes. There is also intriguing emerging evidence that measured risk preference is particularly strongly related to certain facets of cognitive ability, those that facilitate quantitative problem solving, with implications for understanding mechanisms and possibly for better targeting policy interventions. We conclude by discussing perspectives for future research, in particular the scope for the development of richer sets of elicitation instruments and measurement across a wider range of concepts. We also consider progress in neuroscience, but conclude that at present that field still seems relatively far from allowing definitive conclusions about latent risk preference and cognitive ability. Nevertheless, the existing empirical evidence suggests that interventions to influence cognitive ability, should they be possible, might have spillovers on risky choice.

The state of New Keynesian economics: a partial assessment

Abstract: I have benefited from the financial support of the Generalitat de Catalunya (AGAUR Grant 2017SGR1393) and the Ministerio de Economia, Industria y Competitividad (Grant ECO2017-87827).

Ending Global Poverty: Why Money Isn't Enough

Abstract: Between 1981 and 2013, the share of the global population living in extreme poverty fell by 34 percentage points. This paper argues that such rapid reductions will become increasingly hard to achieve for two reasons. First, the majority of the poor now live in middle-income countries where the benefits of growth have often been distributed selectively and unequally. Second, a reservoir of extreme poverty remains in low-income countries where growth is erratic and aid often fails to reach the poor. If the international community is to most effectively leverage available resources to end extreme poverty, it must ensure that its investments in institutions and physical infrastructure actually provide the poor the capabilities they need to craft an effective pathway out of poverty. We term the human and social systems that are required to form this pathway "invisible infrastructure" and argue that an effective domestic state is central to building this. By corollary, ending extreme poverty will require both expanding state capacity and giving the poor power to demand reforms they need by solving agency problems between citizens, politicians, and bureaucrats.

Sand Castles before the Tide? Affordable Housing in Expensive Cities

Abstract: This article focuses on cities with unprecedented economic success and a seemingly permanent crisis of affordable housing In the expensive cities, policymakers expend great amounts of energy trying to bring down housing costs with subsidies for affordable housing and sometimes with rent control But these efforts are undermined by planning decisions that make housing for most people vastly more expensive than it has to be by restricting the supply of new units even in the face of growing demand I begin by describing current housing policy in the expensive metro areas of the United States I then show how this combination of policies affecting housing, despite internal contradictions, makes sense from the perspective of the political coalitions that can form in a setting of fragmented local jurisdictions, local control over land use policies, and homeowner control over local government Finally, I propose some more effective approaches to housing policy My view is that the effects of the formal affordable housing policies of expensive cities are quite small in their impact when compared to the size of the problem—like sand castles before the tide I will argue that we can do more, potentially much more, to create subsidized affordable housing in high-cost American cities But more fundamentally, we will need to rethink the broader set of exclusionary land use policies that are the primary reason that housing in these cities has become so expensive We cannot solve the problem unless we fix the housing market itself

Measuring the Effects of Corporate Tax Cuts

Abstract: On December 22, 2017, President Donald Trump signed the Tax Cuts and Jobs Act (TCJA), the most sweeping revision of US tax law since the Tax Reform Act of 1986. The law introduced many significant changes. However, perhaps none was as important as the changes in the treatment of traditional "C" corporations—those corporations subject to a separate corporate income tax. Beginning in 2018, the federal corporate tax rate fell from 35 percent to 21 percent, some investment qualified for immediate deduction as an expense, and multinational corporations faced a substantially modified treatment of their activities. This paper seeks to evaluate the impact of the Tax Cuts and Jobs Act to understand its effects on resource allocation and distribution. It compares US corporate tax rates to other countries before the 2017 tax law, and describes ways in which the US corporate sector has evolved that are especially relevant to tax policy. The discussion then turns the main changes of the Tax Cuts and Jobs Act of 2017 for the corporate income tax. A range of estimates suggests that the law is likely to contribute to increased US capital investment and, through that, an increase in US wages. The magnitude of these increases is extremely difficult to predict. Indeed, the public debate about the benefits of the new corporate tax provisions enacted (and the alternatives not adopted) has highlighted the limitations of standard approaches in distributional analysis to assigning corporate tax burdens.