Structural Vector Autoregressions with Imperfect Identifying Information
Christiane Baumeister, James D. Hamilton
American Economic Association Papers and Proceedings,
May
2022
Abstract
The problem of identification is often the core challenge of empirical economic research. The traditional approach to identification is to bring in additional information in the form of identifying assumptions, such as restrictions that certain magnitudes have to be zero. In this paper, we suggest that what are usually thought of as identifying assumptions should more generally be described as information that the analyst had about the economic structure before seeing the data. Such information is most naturally represented as a Bayesian prior distribution over certain features of the economic structure.
Read article
Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
UC San Diego,
2021
Abstract
This paper discusses drawing structural conclusions from vector autoregressions. We call attention to a common error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one knows only the effects of a single structural shock and the covariance matrix of the reduced-form residuals. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns about the way that results are typically reported for VARs that are set-identified using sign and other restrictions.
Read article
IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for...
See page
CompNet Database
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
See page
Publications
Tracking Weekly State-Level Economic Conditions ...
See page
07.09.2021 • 22/2021
IWH Bankruptcy Update: Ongoing Decline in Bankruptcy Statistics
After hitting an all-time low in July, the number of firms declaring bankruptcy in Germany fell yet again in August. A new low was also registered in the number of impacted jobs. These are the headline findings of the IWH Bankruptcy Report, published by the Halle Institute for Economic Research (IWH), which provides a monthly update on German bankruptcy statistics.
Steffen Müller
Read press release
06.05.2021 • 13/2021
IWH Bankruptcy Update: Upward Trend in Bankruptcies Stopped; Reintroduction of Filing Requirement Unlikely to Generate Bankruptcy Wave
Following a rising trend in recent months, the number of corporate bankruptcies fell significantly in April. The number of impacted jobs also remained at modest levels. After a recent sharp rise in the bankruptcy statistics for microbusinesses (which has drawn little press attention), the upward trend for this subcategory loses steam. These are the key findings of the IWH Bankruptcy Update, which provides monthly statistics on corporate bankruptcies in Germany.
Steffen Müller
Read press release
05.11.2020 • 23/2020
IWH Bankruptcy Update: Bankruptcy Statistics Only See Slight Uptick, Despite Reinstatement of Filing Obligation
The number of German companies declaring bankruptcy trended somewhat higher in October, but total bankruptcy figures remain low. While the Halle Institute for Economic Research (IWH) anticipates a further rise in bankruptcy statistics over the final two months of the year, we do not expect a wave of bankruptcies this year.
Steffen Müller
Read press release
07.09.2020 • 17/2020
IWH Bankruptcy Update: Bankruptcies Hit New Low; New Outlook Feature
The number of companies reporting bankruptcy in Germany sank to a new low in August. Associated job losses also declined noticeably, following marked increases in prior months. Published by the Halle Institute for Economic Research, the IWH Bankruptcy Update provides monthly statistics on corporate bankruptcies in Germany. Starting this month, the update will also feature a two-month outlook.
Steffen Müller
Read press release
Credit Allocation when Borrowers are Economically Linked: An Empirical Analysis of Bank Loans to Corporate Customers
Iftekhar Hasan, Kristina Minnick, Kartik Raman
Journal of Corporate Finance,
June
2020
Abstract
Using detailed loan level data, we examine bank lending to corporate customers relying on principal suppliers. Customers experience larger loan spreads, higher intensity of covenants and greater likelihood of requiring collateral when they depend more on the principal supplier for inputs. The positive association between the customer’s loan spread and its dependence on the principal supplier is less pronounced when the bank has a prior loan outstanding with the principal supplier, and when the bank has higher market share in the industry. Longer relationships between the customer and its principal supplier, and between the bank and the principal supplier, mitigate lending constraints. The evidence is consistent with corporate suppliers serving as an informational bridge between the lender and the customer.
Read article
