Tracking Weekly State-Level Economic Conditions
Christiane Baumeister, Danilo Leiva-León, Eric Sims
Review of Economics and Statistics,
forthcoming
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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Die Gemeinschaftsdiagnose. Wirtschaftspolitischer Hintergrund, Methoden und Prognosegüte
Oliver Holtemöller
WiSt - Wirtschaftswissenschaftliches Studium,
No. 9,
2023
Abstract
This paper presents the Joint Economic Forecast (Gemeinschaftsdiagnose, GD) of the leading German economic research institutes. The GD provides a reference for the federal government's macroeconomic projections on which the tax estimates are based, and it informs economic policy makers, the media and the general public about important economic developments. The reports are published each spring and fall.
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Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
No. 3,
2023
Abstract
This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.
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The Promise and Peril of Entrepreneurship
Robert W. Fairlie, Zachary Kroff, Javier Miranda, Nikolas Zolas
MIT Press,
2023
Abstract
Startups create jobs and power economic growth. That's an article of faith in the United States—but, as The Promise and Peril of Entrepreneurship reveals, our faith may be built on shaky ground. Economists Robert Fairlie, Zachary Kroff, Javier Miranda, and Nikolas Zolas—working with Census Bureau microdata—have developed a new data set, the Comprehensive Startup Panel, that tracks job creation and the survival of every startup in the country. In doing so, they recalibrate our understanding of how startups behave in the US economy. Specifically, their work seeks to answer three critical questions: How many jobs does each entrepreneur create? Do those jobs disappear quickly? And how long do entrepreneurial enterprises survive?
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Why Is the Roy-Borjas Model Unable to Predict International Migrant Selection on Education? Evidence from Urban and Rural Mexico
Stefan Leopold, Jens Ruhose, Simon Wiederhold
IWH Discussion Papers,
No. 16,
2023
Abstract
The Roy-Borjas model predicts that international migrants are less educated than nonmigrants because the returns to education are generally higher in developing (migrant-sending) than in developed (migrant-receiving) countries. However, empirical evidence often shows the opposite. Using the case of Mexico-U.S. migration, we show that this inconsistency between predictions and empirical evidence can be resolved when the human capital of migrants is assessed using a two-dimensional measure of occupational skills rather than by educational attainment. Thus, focusing on a single skill dimension when investigating migrant selection can lead to misleading conclusions about the underlying economic incentives and behavioral models of migration.
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AIECE General Report, Part 2, Spring 2023
Andrej Drygalla, Axel Lindner, Birgit Schultz
IWH Studies,
No. 4,
2023
Abstract
The Halle Institute for Economic Research (IWH) is a member of AIECE (Association d'Instituts Europeens de Conjoncture Economique/Association of European Conjuncture Institutes), an association of independent European institutes involved in surveying economic conditions and developments, and in short-term macroeconomic forecasting. The main objective of the Association is to stimulate the exchanges between its members with a view to improve their insight into international economic developments. This ranges from the exchange of statistical or institutional information to discussions on economic policy Guidelines to common research activities. The AIECE organises between its members an exchange of view, of information and of literature on international economic developments, in particular in Europe. The Association provides the framework for joint activities of its members in areas of common interest. Its structure allows its members to develop common views on the future cyclical development. In order to meet these objectives the Association has half-yearly plenary meetings, centred around a general report on the European conjuncture prepared in turn by one of the members in cooperation with the other member institutes, but also with discussions of the working group reports and of special surveys prepared by member institutes. In Spring 2023, the report was written by the Halle Institute for Economic Research (IWH).
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AIECE General Report, Part 1, Spring 2023
Andrej Drygalla, Axel Lindner, Birgit Schultz
IWH Studies,
No. 3,
2023
Abstract
The Halle Institute for Economic Research (IWH) is a member of AIECE (Association d'Instituts Europeens de Conjoncture Economique/Association of European Conjuncture Institutes), an association of independent European institutes involved in surveying economic conditions and developments, and in short-term macroeconomic forecasting. The main objective of the Association is to stimulate the exchanges between its members with a view to improve their insight into international economic developments. This ranges from the exchange of statistical or institutional information to discussions on economic policy Guidelines to common research activities. The AIECE organises between its members an exchange of view, of information and of literature on international economic developments, in particular in Europe. The Association provides the framework for joint activities of its members in areas of common interest. Its structure allows its members to develop common views on the future cyclical development. In order to meet these objectives the Association has half-yearly plenary meetings, centred around a general report on the European conjuncture prepared in turn by one of the members in cooperation with the other member institutes, but also with discussions of the working group reports and of special surveys prepared by member institutes. In Spring 2023, the report was written by the Halle Institute for Economic Research (IWH).
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Konjunktur aktuell: Belebung in Dienstleistungsbranchen, aber zunächst weiter schwache Industriekonjunktur
Konjunktur aktuell,
No. 2,
2023
Abstract
Im Sommer 2023 deuten Stimmungsindikatoren auf einen weltweiten Aufschwung in den Dienstleistungsbranchen, die Konjunktur im Verarbeitenden Gewerbe bleibt aber schwach. Hohe Inflation und gestiegene Leitzinsen dämpfen die Konjunktur in den meisten Weltregionen. In Europa belasten auch im langjährigen Vergleich hohe Energiepreise. Insgesamt bleibt die Dynamik der Weltwirtschaft im Jahr 2023 verhalten. Die deutsche Wirtschaft wird in mäßigem Tempo expandieren, denn mit sinkender Inflation und erhöhter Lohndynamik wird der private Konsum wieder zulegen. Das Bruttoinlandsprodukt dürfte 2023 um 0,3% zurückgehen, für das kommende Jahr ist ein Zuwachs von 1,7% prognostiziert. Für 2023 ist mit einer Inflationsrate von 6,1% und für 2024 mit 2,7% zu rechnen.
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23.05.2023 • 14/2023
Analysis of earnings calls: Blathering managers harm their company
If a senior executive refuses to give information to professional investors, the company's stock market value drops afterwards. This is shown in a study by the Halle Institute for Economic Research (IWH) after evaluating
1.2 million answers from tele-phone conferences.
Fabian Wöbbeking
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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,
No. 9,
2023
Abstract
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:
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