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The economics of financial stress
No full textWe study the psychological costs of financial constraints and their economic consequences. Using a representative survey of U.S. households, we document the prevalence of financial stress in U.S. households and a strong relationship between financial stress and measures of financial constraints. We incorporate financial stress into an otherwise standard dynamic model of consumption and labour supply. We emphasize two key results. First, both financial stress itself and naivete about financial stress are important components of a psychology-based theory of the poverty trap. Sophisticated households, instead, save extra to escape high-stress states because they understand that doing so alleviates the economic consequences of financial stress. Second, the financial stress channel dampens or reverses the counterfactual large negative wealth effect on labour earnings because relieving stress frees up cognitive resources for productive work. Financial stress also has macroeconomic implications for wealth inequality and fiscal multipliers
Growth-rate and uncertainty shocks in consumption: cross-country evidence
No full textWe provide new estimates of the importance of growth-rate shocks and uncertainty shocks for developed countries. The shocks we estimate are large and correspond to well-known macroeconomic episodes such as the Great Moderation and the productivity slowdown. We compare our results to earlier estimates of "long-run risks" and assess the implications for asset pricing. Our estimates yield greater return predictability and a more volatile price-dividend ratio. In addition, we can explain a substantial fraction of cross-country variation in the equity premium. An advantage of our approach, based on macroeconomic data alone, is that the parameter estimates cannot be viewed as backward engineered to fit asset pricing data. We provide intuition for our results using the recently developed framework of shock-exposure and shock-price elasticities
Central Bank balance sheet policies without rational expectations
No full textWe study the effects of central bank balance sheet policies—namely, quantitative easing and foreign exchange interventions—in a model where people form expectations through an iterative level-k thinking process. We emphasize two main theoretical results. First, under a broad set of conditions, central bank interventions are effective under level-k thinking, while they are neutral in the rational expectations equilibrium. Second, when preferences exhibit constant relative risk aversion, asset purchases increase aggregate output if they target assets with pro-cyclical returns but reduce it if asset returns are counter-cyclical. Finally, we empirically show that forecast errors about future asset prices are predictable by balance sheet interventions, a property that differentiates our channel from popular alternatives, such as portfolio-balance and signaling channels
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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Essays on Macroeconomics and International Finance
Full text linkThis thesis addresses three topics in Macroeconomics and International Finance. Chapter 1 studies welfare implications of international financial integration in the presence of bank funding risks. Unregulated issuance of safe short-term liabilities by financial intermediaries leads to excessive reliance on this form of financing, which increases losses associated with financial crises. First, I show that integration increases the severity of potential financial crises in the countries that receive capital inflows. As a result, integration may reduce welfare for these countries. Second, I show that if macroprudential regulation of the banking sector is chosen by each country in an uncoordinated way, the outcome can be Pareto inefficient so that there is a role for global coordination of such policies. This effect arises because the macroprudential regulation that limits the overissuance of safe liabilities changes the international interest rate. The regulation may have an additional benefit from manipulating the interest rate. Third, the desire to manipulate the interest rate when regulating the local banking sector creates incentives to use two regulatory tools: macroprudential regulation of the banking sector and capital controls. Chapter 2, written jointly with Emi Nakamura and Jon Steinsson, quantifies the importance of long-run risks---persistent shocks to growth rates and uncertainty---in a panel of long-term aggregate consumption data for developed countries. We identify sizable and highly persistent world growth-rate shocks as well as less persistent country-specific growth rate shocks. The world growth-rate shocks capture the productivity speed-up and slow-down many countries experienced in the second half of the 20th century. We also identify large and persistent world shocks to uncertainty. Our world uncertainty process captures the large but uneven rise and fall of volatility that occurred over the course of the 20th century. We find that negative shocks to growth rates are correlated with shocks that increase uncertainty. Our estimates based on macroeconomic data alone line up well with earlier calibrations of the long-run risks model designed to match asset pricing data. We document how these dynamics, combined with Epstein-Zin-Weil preferences, help explain a number of asset pricing puzzles. Chapter 3, written jointly with Neil R. Mehrotra, investigates the relationship between sector-specific shocks, shifts in the Beveridge curve, and changes in the natural rate of unemployment. We document a significant correlation between shifts in the US Beveridge curve in postwar data and periods of elevated sectoral shocks relying on a factor analysis of sectoral employment to derive our sectoral shock index. We provide conditions under which sector-specific shocks in a multisector model augmented with labor market search generate outward shifts in the Beveridge curve and raise the natural rate of unemployment. Consistent with empirical evidence, our model also generates cyclical movements in aggregate matching function efficiency and mismatch across sectors. We calibrate a two-sector version of our model and demonstrate that a negative shock to construction employment calibrated to match employment shares can fully account for the outward shift in the Beveridge curve. We augment our standard multisector model with financial frictions to demonstrate that financial shocks or a binding zero lower bound can act like sectoral productivity shocks, generating a shift in the Beveridge curve that may be counteracted by expansionary monetary policy
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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