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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Ownership Structure and the Cost of Debt: Evidence From the Chinese Corporate Bond Market
Sris Chatterjee, Xian Gu, Iftekhar Hasan, Haitian Lu
Journal of Empirical Finance,
September
2023
Abstract
Drawing upon evidence from the Chinese corporate bond market, we study how ownership structure affects the cost of debt for firms. Our results show that state, institutional and foreign ownership formats reduce the cost of debt for firms. The benefits of state ownership are accentuated when the issuer is headquartered in a province with highly developed market institutions, operates in an industry less dominated by the state or during the period after the 2012 anti-corruption reforms. Institutional ownership provides the most benefits in environments with lower levels of marketization, especially for firms with low credit quality. Our evidence sheds light on the nexus of ownership and debt cost in a political economy where state-owned enterprises (SOEs) and non-SOEs face productivity and credit frictions. It is also illustrative of how the market environment interacts with corporate ownership in affecting the cost of bond issuance.
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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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R&D Tax Credits and the Acquisition of Startups
William McShane, Merih Sevilir
IWH Discussion Papers,
No. 15,
2023
Abstract
We propose a novel mechanism through which established firms contribute to the startup ecosystem: the allocation of R&D tax credits to startups via the M&A channel. We show that when established firms become eligible for R&D tax credits, they increase their R&D and M&A activity. In particular, they acquire more venture capital (VC)-backed startups, but not non-VC-backed firms. Moreover, the impact of R&D tax credits on firms’ R&D is increasing with their acquisition of VC-backed startups. The results suggest that established firms respond to R&D tax credits by acquiring startups rather than solely focusing on increasing their R&D intensity in-house. We also highlight evidence that startups do not appear to benefit from R&D tax credits directly, perhaps because they typically lack the taxable income necessary to directly benefit from the tax credits. In this context, established firms can play an intermediary role by acquiring startups and reallocating R&D tax credits, effectively relaxing the financial constraints faced by startups.
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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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Micro Data on Robots from the IAB Establishment Panel
Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik,
No. 3,
2023
Abstract
Micro-data on robots have been very sparse in Germany so far. Consequently, a dedicated section has been introduced in the IAB Establishment Panel 2019 that includes questions on the number and type of robots used. This article describes the background and development of the survey questions, provides information on the quality of the data, possible checks and steps of data preparation. The resulting data is aggregated on industry level and compared with the frequently used robot data by the International Federation of Robotics (IFR) which contains robot supplier information on aggregate robot stocks and deliveries.
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