What Drives Discretion in Bank Lending? Some Evidence and a Link to Private Information
Gene Ambrocio, Iftekhar Hasan
Journal of Banking and Finance,
2019
Abstract
We assess the extent to which discretion, unexplained variations in the terms of a loan contract, has varied across time and lending institutions and show that part of this discretion is due to private information that lenders have on their borrowers. We find that discretion is lower for secured loans and loans granted by a larger group of lenders, and is larger when the lenders are larger and more profitable. Over time, discretion is also lower around recessions although the private information content is higher. The results suggest that bank discretionary and private information acquisition behavior may be important features of the credit cycle.
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On DSGE Models
Lawrence J. Christiano, Martin S. Eichenbaum, Mathias Trabandt
Journal of Economic Perspectives,
Nr. 3,
2018
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.
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Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers
Kimberly Bayard, Emin Dinlersoz, Timothy Dunne, John Haltiwanger, Javier Miranda, John Stevens
NBER Working Paper,
Nr. 24364,
2018
Abstract
This paper reports on the development and analysis of a newly constructed dataset on the early stages of business formation. The data are based on applications for Employer Identification Numbers (EINs) submitted in the United States, known as IRS Form SS-4 filings. The goal of the research is to develop high-frequency indicators of business formation at the national, state, and local levels. The analysis indicates that EIN applications provide forward-looking and very timely information on business formation. The signal of business formation provided by counts of applications is improved by using the characteristics of the applications to model the likelihood that applicants become employer businesses. The results also suggest that EIN applications are related to economic activity at the local level. For example, application activity is higher in counties that experienced higher employment growth since the end of the Great Recession, and application counts grew more rapidly in counties engaged in shale oil and gas extraction. Finally, the paper provides a description of new public-use dataset, the “Business Formation Statistics (BFS),” that contains new data series on business applications and formation. The initial release of the BFS shows that the number of business applications in the 3rd quarter of 2017 that have relatively high likelihood of becoming job creators is still far below pre-Great Recession levels.
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The Effects of Fiscal Policy in an Estimated DSGE Model – The Case of the German Stimulus Packages During the Great Recession
Andrej Drygalla, Oliver Holtemöller, Konstantin Kiesel
Abstract
In this paper, we analyse the effects of the stimulus packages adopted by the German government during the Great Recession. We employ a standard medium-scale dynamic stochastic general equilibrium (DSGE) model extended by non-optimising households and a detailed fiscal sector. In particular, the dynamics of spending and revenue variables are modeled as feedback rules with respect to the cyclical component of output. Based on the estimated rules, fiscal shocks are identified. According to the results, fiscal policy, in particular public consumption, investment, transfers and changes in labour tax rates including social security contributions prevented a sharper and prolonged decline of German output at the beginning of the Great Recession, suggesting a timely response of fiscal policy. The overall effects, however, are small when compared to other domestic and international shocks that contributed to the economic downturn. Our overall findings are not sensitive to the allowance of fiscal foresight.
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Wage Bargaining Regimes and Firms‘ Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
IWH-CompNet Discussion Papers,
Nr. 1,
2017
Abstract
The paper aims at investigating to what extent wage negotiation set-ups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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Wage Bargaining Regimes and Firms' Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
ECB Working Paper,
Nr. 2051,
2017
Abstract
The paper aims at investigating to what extent wage negotiation setups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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To Invest or Not to Invest, That Is the Question: Analysis of Firm Behavior under Anticipated Shocks
Dejan Kovač, Nikola Kleut, Boris Podobnik, Vuk Vukovic
Plos One,
Nr. 8,
2016
Abstract
When companies are faced with an upcoming and expected economic shock some of them tend to react better than others. They adapt by initiating investments thus successfully weathering the storm, while others, even though they possess the same information set, fail to adopt the same business strategy and eventually succumb to the crisis. We use a unique setting of the recent financial crisis in Croatia as an exogenous shock that hit the country with a time lag, allowing the domestic firms to adapt. We perform a survival analysis on the entire population of 144,000 firms in Croatia during the period from 2003 to 2015, and test whether investment prior to the anticipated shock makes firms more likely to survive the recession. We find that small and micro firms, which decided to invest, had between 60 and 70% higher survival rates than similar firms that chose not to invest. This claim is supported by both non-parametric and parametric tests in the survival analysis. From a normative perspective this finding could be important in mitigating the negative effects on aggregate demand during strong recessionary periods.
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