Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set
Robert W. Fairlie, Javier Miranda, Nikolas Zolas
ILR Review,
No. 5,
2019
Abstract
The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.
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Gender Stereotypes still in MIND: Information on Relative Performance and Competition Entry
Sabrina Jeworrek
Journal of Behavioral and Experimental Economics,
October
2019
Abstract
By conducting a laboratory experiment, I test whether the gender tournament gap diminishes in its size after providing information on the relative performance of the two genders. Indeed, the gap shrinks sizeably, it even becomes statistically insignificant. Hence, individuals’ entry decisions seem to be driven not only by incorrect self-assessments in general but also by incorrect stereotypical beliefs about the genders’ average abilities. Overconfident men opt less often for the tournament and, thereby, increase their expected payoff. Overall efficiency, however, is not affected by the intervention.
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On the Effect of Business and Economic University Education on Political Ideology: An Empirical Note
Manthos D. Delis, Iftekhar Hasan, Maria Iosifidi
Journal of Business Ethics,
2019
Abstract
We empirically test the hypothesis that a major in economics, management, business administration or accounting (for simplicity referred to as Business/Economics) leads to more-conservative (right-wing) political views. We use a panel dataset of individuals (repeated observations for the same individuals over time) living in the Netherlands, drawing data from the Longitudinal Internet Studies for the Social Sciences from 2008 through 2013. Our results show that when using a simple fixed effects model, which fully controls for individuals’ time-invariant traits, any statistically and quantitatively significant effect of a major in Business/Economics on the Political Ideology of these individuals disappears. We posit that, at least in our sample, there is no evidence for a causal effect of a major in Business/Economics on individuals’ Political Ideology.
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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
Abstract
>>A completely revised version of this paper has been published as: Dettmann, Eva; Giebler, Alexander; Weyh, Antje: flexpaneldid. A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration. IWH Discussion Paper 3/2020. Halle (Saale) 2020.<<
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
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Produktion und Einkommen im Material Product System (MPS)
Udo Ludwig
R. Mink, K. Voy (Hrsg.), Gesamtwirtschaftliche Einkommensbegriffe. Produktion und Einkommen im sozialpolitischen Kontext. Berliner Beiträge zu den volkswirtschaftlichen Gesamtrechnungen, Band 3. Marburg: Metropolis-Vertrag,
2019
Abstract
Der Beitrag behandelt die wirtschaftstheoretisch und sozioökonomisch bestimmten Besonderheiten der statistischen Erfassung von Entstehung, Verteilung und Umverteilung des Einkommens im Gesamtrechnungssystem der Zentralplanwirtschaften sowie deren Folgen für die wirtschaftspolitische Steuerung.
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18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
Steffen Müller
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Information Feedback in Temporal Networks as a Predictor of Market Crashes
Stjepan Begušić, Zvonko Kostanjčar, Dejan Kovač, Boris Podobnik, H. Eugene Stanley
Complexity,
September
2018
Abstract
In complex systems, statistical dependencies between individual components are often considered one of the key mechanisms which drive the system dynamics observed on a macroscopic level. In this paper, we study cross-sectional time-lagged dependencies in financial markets, quantified by nonparametric measures from information theory, and estimate directed temporal dependency networks in financial markets. We examine the emergence of strongly connected feedback components in the estimated networks, and hypothesize that the existence of information feedback in financial networks induces strong spatiotemporal spillover effects and thus indicates systemic risk. We obtain empirical results by applying our methodology on stock market and real estate data, and demonstrate that the estimated networks exhibit strongly connected components around periods of high volatility in the markets. To further study this phenomenon, we construct a systemic risk indicator based on the proposed approach, and show that it can be used to predict future market distress. Results from both the stock market and real estate data suggest that our approach can be useful in obtaining early-warning signals for crashes in financial markets.
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Public Investment Subsidies and Firm Performance – Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
Jahrbücher für Nationalökonomie und Statistik,
No. 2,
2018
Abstract
This paper assesses firm-level effects of the single largest investment subsidy programme in Germany. The analysis considers grants allocated to firms in East German regions over the period 2007 to 2013 under the regional policy scheme Joint Task ‘Improving Regional Economic Structures’ (GRW). We apply a coarsened exact matching (CEM) in combination with a fixed effects difference-in-differences (FEDiD) estimator to identify the effects of programme participation on the treated firms. For the assessment, we use administrative data from the Federal Statistical Office and the Offices of the Länder to demonstrate that this administrative database offers a huge potential for evidence-based policy advice. The results suggest that investment subsidies have a positive impact on different dimensions of firm development, but do not affect overall firm competitiveness. We find positive short- and medium-run effects on firm employment. The effects on firm turnover remain significant and positive only in the medium-run. Gross fixed capital formation responses positively to GRW funding only during the mean implementation period of the projects but becomes insignificant afterwards. Finally, the effect of GRW-funding on labour productivity remains insignificant throughout the whole period of analysis.
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Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers
Kimberly Bayard, Emin Dinlersoz, Timothy Dunne, John Haltiwanger, Javier Miranda, John Stevens
NBER Working Paper,
No. 24364,
2018
Abstract
This paper reports on the development and analysis of a newly constructed dataset on the early stages of business formation. The data are based on applications for Employer Identification Numbers (EINs) submitted in the United States, known as IRS Form SS-4 filings. The goal of the research is to develop high-frequency indicators of business formation at the national, state, and local levels. The analysis indicates that EIN applications provide forward-looking and very timely information on business formation. The signal of business formation provided by counts of applications is improved by using the characteristics of the applications to model the likelihood that applicants become employer businesses. The results also suggest that EIN applications are related to economic activity at the local level. For example, application activity is higher in counties that experienced higher employment growth since the end of the Great Recession, and application counts grew more rapidly in counties engaged in shale oil and gas extraction. Finally, the paper provides a description of new public-use dataset, the “Business Formation Statistics (BFS),” that contains new data series on business applications and formation. The initial release of the BFS shows that the number of business applications in the 3rd quarter of 2017 that have relatively high likelihood of becoming job creators is still far below pre-Great Recession levels.
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Does Administrative Status Matter for Urban Growth? – Evidence from Present and Former County Capitals in East Germany
Bastian Heider, Martin T. W. Rosenfeld, Albrecht Kauffmann
Growth and Change,
No. 1,
2018
Abstract
Public sector activities are often neglected in the economic approaches used to analyze the driving forces behind urban growth. The institutional status of a regional capital is a crucial aspect of public sector activities. This paper reports on a quasi-natural experiment on county towns in East Germany. Since 1990, cities in East Germany have demonstrated remarkable differences in population development. During this same period, many towns have lost their status as a county seat due to several administrative reforms. Using a difference-in-difference approach, the annual population development of former county capitals is compared to population change in towns that have successfully held on to their capital status throughout the observed period. The estimations show that maintaining county capital status has a statistically significant positive effect on annual changes in population. This effect is furthermore increasing over time after the implementation of the respective reforms.
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