Author
Juan M. Sánchez
Other affiliations: University of Rochester, Federal Reserve System, National University of La Plata
Bio: Juan M. Sánchez is an academic researcher from Federal Reserve Bank of St. Louis. The author has contributed to research in topics: Debt & Recession. The author has an hindex of 21, co-authored 110 publications receiving 1512 citations. Previous affiliations of Juan M. Sánchez include University of Rochester & Federal Reserve System.
Topics: Debt, Recession, Unemployment, Intermediation, Bankruptcy
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors use newly available estimates on natural resources shares from Monge-Naranjo et al. (2017) to correctly measure the factor shares of physical and human capital for a large number of countries and periods.
Abstract: Is human capital allocated efficiently across countries? To answer this question, we need to differentiate misallocation from factor intensity differences. We use newly available estimates on natural resources shares from Monge-Naranjo et al. (2017) to correctly measure the factor shares of physical and human capital for a large number of countries and periods. We find that the global efficiency losses of the misallocation of human capital are around 60% of the world's output. Moreover, the misallocation of human capital seems to have worsened in the more recent years. Interestingly, we show that when physical and human capital can both be reallocated, physical capital would often ow from poor to rich countries, contrary to Lucas (1990)'s paradox.
5 citations
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TL;DR: For years, perhaps even decades, Japan's economy has struggled with low growth and low inflation, and a year ago, new policies were put into place to turn around the economy as discussed by the authors.
Abstract: For years, perhaps even decades, Japan’s economy has struggled with low growth and low inflation. A year ago, new policies were put into place to turn around the economy. Although there are similarities between Japan’s experience and that of other developed countries (including the U.S.), there are also many differences.
4 citations
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TL;DR: In this paper, the authors explore the efficiency in the allocation of physical capital and human capital across countries, and find that the world has decidedly moved in the direction of efficiency, from global output losses around 7% in the 1970s to a still substantial 2% by 2005.
Abstract: We explore the efficiency in the allocation of physical capital and human capital across countries. The observed marginal products can differ across countries because of differences in technology (i.e. production functions) and in distortions (i.e. differences in use of factors) across countries. To identify differences in technology, we use new data and propose a simple method to estimate output shares of natural resources, and thus adjust the estimated marginal products of physical and human capital. With a sample of 79 countries from 1970 to 2005, we find that the world has decidedly moved in the direction of efficiency in the allocation of physical capital, from global output losses around 7% in the 1970s to a still substantial 2% by 2005. This trend is accounted for by domestic capital accumulation, as external flows have had little impact. There is also a large degree of heterogeneity in the net gains across countries. For example, we find larger gains for countries with more interventionist policies. With respect to human capital, we uncover much larger global losses from its misallocation. Indeed, contrary to physical capital, we find that the human capital allocation had worsened over time.
4 citations
TL;DR: A delinquency rate of 15 percent for all student loan borrowers implies a delinquency ratio of 27.3 percent for borrowers with loans in repayment as discussed by the authors, which is the worst possible.
Abstract: A delinquency rate of 15 percent for all student loan borrowers implies a delinquency rate of 27.3 percent for borrowers with loans in repayment.
4 citations
TL;DR: In this article, the authors study the endogenous determination of corporate debt maturity in a setting with default risk and show that firms with poor prospects and firms in more unstable industries will choose shorter maturities even if it is feasible to issue longer debt.
Abstract: We study the endogenous determination of corporate debt maturity in a setting with default risk. We assume that firms must access the bond market and they issue debt with a flexible structure (coupon, face value, and maturity). Initially, the firm is in a low growth/illiquid state that requires debt refinancing if it matures. Since lenders do not refinance projects with positive but small net present value, firms may be forced to default in the first phase. We call this liquidity risk. The technology is such that earnings can switch to a higher (but riskier) level. In this second phase firms have access to the equity market but they may default if this is the best option. We call this strategic default risk. In the model optimal maturity balances these two risks. We show that firms with poor prospects and firms in more unstable industries will choose shorter maturities even if it is feasible to issue longer debt. The model also offers predictions on how asset maturity, asset salability, and leverage influence maturity. Even though our model is extremely stylized we find that the predictions are roughly consistent with the evidence. Moreover, it offers some insights into the factors that determine the structure of the debt.
4 citations
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TL;DR: In this paper, the authors formulate a version of the growth model in which production is carried out by heterogeneous establishments and calibrate it to US data, and argue that differences in the allocation of resources across establishments that differ in productivity may be an important factor in accounting for cross-country differences in output per capita.
1,299 citations
Journal Article•
TL;DR: Šonje et al. as mentioned in this paper used a sample of 35 countries for the period between 1860 and 1963 to show the relationship between income and financial depth measured by the ratio between bank's assets and GDP.
Abstract: relationship. All subsequent studies confirmed it (see for example King and Levine, 1993, and the review in: Pagano, 1993). Goldsmith used a sample of 35 countries for the period between 1860 and 1963 to show the relationship between income and financial depth measured by the ratio between bank's assets and GDP. He also showed that in periods of rapid growth, financial depth grows faster than income. More details about measuring financial depth can be found in this paper. FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH Velimir Šonje
891 citations
TL;DR: This article developed a model co-determining aggregate total factor productivity (TFP), sectoral TFP, and scales across industrial sectors and found that financial frictions disproportionately affect TFP in tradable sectors where production requires larger costs.
Abstract: Explaining levels of economic development hinges on explaining TFP dierences across coun- tries. In poor countries, total factor productivity (TFP) is particularly low in sectors producing tradable goods. We document that an important dierence between tradable and non-tradable sectors is their average establishment size: Tradable establishments operate at much larger scales. We develop a model co-determining aggregate TFP, sectoral TFP, and scales across industrial sectors. In our model, …nancial frictions disproportionately aect TFP in tradable sectors where production requires larger …xed costs. Our quantitative exercises show that …- nancial frictions explain a substantial part of the observed cross-country relationship between aggregate TFP, sectoral TFP, and output per worker.
884 citations
TL;DR: In this article, the role of financial frictions in determining total factor productivity (TFP) was evaluated using producer-level data, and a model of establishment dynamics was proposed to reduce TFP through two channels: finance frictions distort entry and technology adoption decisions.
Abstract: We use producer-level data to evaluate the role of financial frictions in determining total factor productivity (TFP). We study a model of establishment dynamics in which financial frictions reduce TFP through two channels. First, finance frictions distort entry and technology adoption decisions. Second, finance frictions generate dispersion in the returns to capital across existing producers and thus productivity losses from misallocation. Parameterizations of our model consistent with the data imply fairly small losses from misallocation, but potentially sizable losses from inefficiently low levels of entry and technology adoption. (JEL E32, E44, F41, G32, L60, O33, O47)
874 citations