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We study the impact of bank credit on firm productivity. We exploit a matched firm-bank database covering all the credit relationships of Italian corporations, together with a natural experiment, to measure idiosyncratic supply-side shocks to credit availability and to estimate a production model augmented with financial frictions. We find that a contraction in credit supply causes a reduction of firm TFP growth and also harms IT-adoption, innovation, exporting, and adoption of superior management practices, while a credit expansion has limited impact. Quantitatively, the credit contraction between 2007 and 2009 accounts for about a quarter of observed the decline in TFP.
This paper relies on administrative data to study determinants and implications of US banks’ Information Technology (IT) investments, which have increased six-fold over two decades. Large and small banks had similar IT expenses a decade ago. Since then, large banks sharply increased their spending, especially those which were more exposed to competition from fintech lenders. Other local-level and bank-level factors, such as county income and bank income sources, also contribute to explain the heterogeneity in IT investments. Analysis of the mortgage market reveals that fintechs’ lending behavior is more similar to that of non-bank financial intermediaries rather than IT-savvy banks, suggesting that factors other than technology are responsible for the differences between banks and other lenders. However, both IT-savvy banks and fintech lend to lower income borrowers, pointing towards benefits for financial inclusion from higher IT adoption. Banks’ IT investments are also shown to matter for the responsiveness of bank lending to monetary policy.
This paper analyzes the importance of information technology (IT) in banking for entrepreneurship. To guide our empirical analysis, we build a parsimonious model of bank screening and lending that predicts that IT in banking can spur entrepreneurship by making it easier for startups to borrow against collateral. We provide empirical evidence that job creation by young firms is stronger in US counties that are more exposed to ITintensive banks. Consistent with a strengthened collateral lending channel for IT banks, entrepreneurship increases more in IT-exposed counties when house prices rise. In line with the model's implications, IT in banking increases startup activity without diminishing startup quality and it also weakens the importance of geographical distance between borrowers and lenders. These results suggest that banks' IT adoption can increase dynamism and productivity.
Using self-reported data on emissions for a global sample of 4,000 large, listed firms, we document large heterogeneity in environmental performance within the same industry and country. Laggards—firms with high emissions relative to the scale of their operations—are larger, operate older physical capital stocks, are less knowledge intensive and productive, and adopt worse management practices. To rationalize these findings, we build a novel general equilibrium heterogeneous-firm model in which firms choose capital vintages and R&D expenditure and hence emissions. The model matches the full empirical distribution of firm-level heterogeneity among other moments. Our counter-factual analysis shows that this heterogeneity matters for assessing the macroeconomic costs of mitigation policies, the channels through which policies act, and their distributional effects. We also quantify the gains from technology transfers to EMDEs.
The COVID-19 pandemic has increased insolvency risks, especially among small and medium enterprises (SMEs), which are vastly overrepresented in hard-hit sectors. Without government intervention, even firms that are viable a priori could end up being liquidated—particularly in sectors characterized by labor-intensive technologies, threatening both macroeconomic and social stability. This staff discussion note assesses the impact of the pandemic on SME insolvency risks and policy options to address them. It quantifies the impact of weaker aggregate demand, changes in sectoral consumption patterns, and lockdowns on firm balance sheets and estimates the impact of a range of policy options, for a large sample of SMEs in (mostly) advanced economies.
We study the costs of hospitalizations on patients’ earnings and labor supply, using the universe of hospital admissions in Denmark and full-population tax data. We evaluate the quality of treatment based on its ability to mitigate the labor market consequences of a given diagnosis and propose a new measure of hospital quality, the "Adjusted Earning Losses" (AEL). We find a 4 percentage points difference in lost earnings between the best and worst large Danish hospitals, all else equal. We show that AEL contains significant additional information relative to traditional measures and does not suffer from worse selection issues. We also document a large decline in the labor cost of hospitalizations over time, with large variations across diseases. We find that the average post-hospitalization reduction in labor earnings declined by 25 percent (50 percent) on the intensive (extensive) margin between 1998 and 2012.
Motivated by the world-wide surge of FinTech lending, we analyze the implications of lenders’ information technology adoption for financial stability. We estimate bank-level intensity of IT adoption before the global financial crisis using a novel dataset that provides information on hardware used in US commercial bank branches after mapping them to their parent bank. We find that higher intensity of IT-adoption led to significantly lower non-performing loans when the crisis hit: banks with a one standard deviation higher IT-adoption experienced 10% lower non-performing loans. High-IT-adoption banks were not less exposed to the crisis through their geographical footprint, business model, f...
The COVID-19 pandemic could result in large government interventions in the banking industry. To shed light on the possible consequences on market power, we rely on the experience of the global financial crisis and exploit granular data on government interventions in more than 800 banks across 27 countries between 2007 and 2017. For identification, we use a multivariate matching method. We find that intervened banks experience a significant decline in market power with respect to matched non-intervened banks. This effect is more pronounced for larger and longer interventions and is driven by a rise in costs—mostly because of higher loan impairment charges—which is not followed by a similar increase in prices.
We show that firms rely on price changes observed along their supply chain to form expectations about aggregate inflation, and that these expectations have a complete pass-through to sales prices. Leveraging a unique dataset on Chilean firms merging expectation surveys and records from the VAT and customs registries, we document that changes in prices at which firms purchase inputs inform their forecasts of the economy’s inflation. This is the case even if changes in input costs do not determine the inflation outcome. These findings reject the full-information rational-expectations hypothesis and are consistent with firms’ disagreement about future inflation and inattention to macroeconomic news, which we document for Chile. Our results from a firm-level Phillips’ curve estimation suggest that firms’ beliefs about inflation are a key determinant for their price-setting decisions. Therefore, we argue that the channel we highlight in this paper has the potential to lead to dispersion in inflation expectations, price dispersion, and weaken the expectation channel of policies.
Adenoviral Vectors for Gene Therapy, Second Edition provides detailed, comprehensive coverage of the gene delivery vehicles that are based on the adenovirus that is emerging as an important tool in gene therapy. These exciting new therapeutic agents have great potential for the treatment of disease, making gene therapy a fast-growing field for research. This book presents topics ranging from the basic biology of adenoviruses, through the construction and purification of adenoviral vectors, cutting-edge vectorology, and the use of adenoviral vectors in preclinical animal models, with final consideration of the regulatory issues surrounding human clinical gene therapy trials. This broad scope ...