Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
This paper develops a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.
Intuit QuickBooks Small Business Index: A New Employment Series for the US, Canada, and the UK
Ufuk Akcigit, Raman Chhina, Seyit Cilasun, Javier Miranda, Eren Ocakverdi, Nicolas Serrano-Velarde
IWH Discussion Papers,
Small and young businesses are essential for job creation, innovation, and economic growth. Even most of the superstar firms start their business life small and then grow over time. Small firms have less internal resources, which makes them more fragile and sensitive to macroeconomic conditions. This suggests the need for frequent and real-time monitoring of the small business sector’s health. Previously this was difficult due to a lack of appropriate data. This paper fills this important gap by developing a new Intuit QuickBooks Small Business Index that focuses on the smallest of small businesses with at most 9 workers in the US and the UK and at most 19 workers in Canada. The Index aggregates a sample of anonymous Quick- Books Online Payroll subscriber data (QBO Payroll sample) from 333,000 businesses in the US, 66,000 in Canada, and 25,000 in the UK. After comparing the QBO Payroll sample data to the official statistics, we remove the seasonal components and use a Flexible Least Squares method to calibrate the QBO Payroll sample data against official statistics. Finally, we use the estimated model and the QBO Payroll sample data to generate a near real-time index of economic activity. We show that the estimated model performs well both in-sample and out-of-sample. Additionally, we use this analysis for different regions and industries. Keywords:
Trust and Contracting with Foreign Banks: Evidence from China
Desheng Yin, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Asian Economics,
We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.
Blathering managers harm their company If a senior executive refuses to give information to professional investors, the...
Macroeconomic Reports Local and global: IWH regularly provides current economic...
IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for...
IWH Alumni The IWH would like to stay in contact with its former employees. We...
The Value of Early-Career Skills Christina Langer ...
IWH Flash Indicator
IWH Flash Indicator The IWH Flash Indicator is a forecasting tool which provides...
Productivity: More with Less by Better Available resources are scarce. To sustain our...