Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
No. 2,
2024
Abstract
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.
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Climate Change Exposure and the Value Relevance of Earnings and Book Values of Equity
Iftekhar Hasan, Joseph A. Micale, Donna Rapaccioli
Journal of Sustainable Finance and Accounting,
March
2024
Abstract
We investigate whether a firm’s exposure to climate change, as proxied by disclosures during quarterly earnings conference calls, provides forward-looking information to investors regarding the long-term association of stock prices with current earnings and the book values of equity. Following a key regulatory mandate around the formation of the cap-and-trade program to reduce emissions related to climate change, firms’ climate change exposure decreases the association between current earnings and stock prices while increasing the relevance of book values of equity (i.e., historical earnings). However, these relationships flip when the sentiment around climate change exposure is negative, suggesting that the risks related to climate change exposure provide forward-looking information to investors when they evaluate the ability of current earnings to predict firm values. Such a relationship is stronger for new economy firms and is sensitive to conservative accounting. We also observe that the inclusion of climate change disclosure to our models improves the joint ability of earnings and book values to predict stock prices.
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Frühzeitige Ermittlung stabiler Ergebnisse zum Bruttoinlandsprodukt bzw. realen Wirtschaftswachstum und der Bruttowertschöpfung auf Länderebene
Boris Blagov, Franziska Exß, Katja Heinisch, Oliver Holtemöller, Clara Krause, Torsten Schmidt
RWI Projektbericht. Essen,
2024
Abstract
In dieser Studie wird geprüft, ob die Genauigkeit der ersten Schätzung der Bruttowertschöpfung und des Bruttoinlandsprodukts für die Bundesländer erhöht und damit das Ausmaß der nachfolgenden Revisionen reduziert werden kann. Dazu werden alternative ökonometrische Methoden und zusätzliche Daten herangezogen. Zunächst wird untersucht, in welchen Bereichen die Revisionen stärker ausfallen als in anderen. Dabei werden das BIP und die Bruttowertschöpfung (BWS) auf der Wirtschaftszweig-Gliederungsebene A*10 mit Zusammenfassungen in die Untersuchung einbezogen. Anschließend werden die amtlichen Ergebnisse mit denen der alternativen Ansätze verglichen. Insgesamt ist das Ausmaß, in dem der Revisionsbedarf mit alternativen Methoden verringert werden konnte, relativ gering.
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