flexpaneldid: A Stata Toolbox for Causal Analysis with Varying Treatment Time and Duration
Eva Dettmann, Alexander Giebler, Antje Weyh
IWH Discussion Papers,
Nr. 3,
2020
Abstract
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) for the staggered treatment adoption design and a Stata tool that implements the approach. This flexible conditional difference-in-differences approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations. Introducing more flexibility enables the user to consider individual treatment periods for the treated observations and thus circumventing problems arising in canonical difference-in-differences approaches. The open-source flexpaneldid toolbox for Stata implements the developed approach and allows comprehensive robustness checks and quality tests. The core of the paper gives comprehensive examples to explain the use of the commands and its options on the basis of a publicly accessible data set.
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Oxytocin, Empathy, Altruism and Charitable Giving: Experimental Evidence from Blood Donations
Irena Jukić, Dejan Kovač, Danijela Vuletić Čugalj
IWH Discussion Papers,
Nr. 4,
2023
Abstract
We conducted a field experiment in the natural setting of blood donations to test how oxytocin relates to empathy and altruism. We randomly assigned blood donors in the Croatian Institute for Transfusion Medicine to three groups with the aim to induce different levels of empathy by showing a neutral video to the donors from the control group and an emotional to the donors from the first and second treatment groups. In addition to watching the emotional video, donors from the second treatment group are given a gift which relates to the emotional story from the video. We find no effect of our treatment on induced levels of oxytocin. Null effects of our treatments could be explained by the above average baseline levels of oxytocin and inability of our treatments to provoke emotional stimuli in blood donors. Nonetheless, for our empathy measures we find the effect of gift exchange on empathic concerns, but not on perspective taking. After our experimental treatments, we followed the return of our blood donors for a whole year. We find that only variable which consistently predicts return for blood donation in stated period is the number of previous donations. From policy perspective it is an important finding. Especially for hospitals and other blood providers when faced with time and resource constraints.
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Toward a Taylor Rule for Fiscal Policy
Martin Kliem, Alexander Kriwoluzky
Review of Economic Dynamics,
Nr. 2,
2014
Abstract
In DSGE models, fiscal policy is typically described by simple rules in which tax rates respond to the level of output. We show that there is only weak empirical evidence in favor of such specifications in US data. Instead, the cyclical movements of labor and capital income tax rates are better described by a contemporaneous response to hours worked and investment, respectively. We show that conditioning on these variables is also desirable from a normative perspective as it significantly improves welfare relative to output-based rules.
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Der Ost-West-Produktivitätsunterschied: Was sagt die mikroökonomische Forschung?
Steffen Müller
Wirtschaftsdienst,
Konferenzband "30 Jahre Deutsche Einheit", März
2021
Abstract
Laut Volkswirtschaftlicher Gesamtrechnung erreicht die ostdeutsche Wirtschaft auch 30 Jahre nach dem Fall des Eisernen Vorhangs nur 80 % der westdeutschen Arbeitsproduktivität. Dieser Unterschied in der gesamtwirtschaftlichen Arbeitsproduktivität geht Hand in Hand mit vielen der wirtschaftlichen und gesellschaftlichen Probleme, denen Ostdeutschland heute gegenübersteht. Um die Ursachen des aggregierten Produktivitätsgefälles zu verstehen, wird die neuere Literatur zum Ost-West-Gefälle diskutiert, die granulare Daten auf Firmen- und Produktebene verwendet. Die Evidenz zeigt die Relevanz von Produktivitätsunterschieden auf Firmenebene für die aggregierte Lücke deutlich und stellt gängige Hypothesen infrage, die aus aggregierten Daten abgeleitet werden.
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O Brother, Where Start Thou? Sibling Spillovers on College and Major Choice in Four Countries
Adam Altmejd, Andrés Barrios-Fernández, Marin Drlje, Joshua Goodman, Michael Hurwitz, Dejan Kovač, Christine Mulhern, Christopher Neilson, Jonathan Smith
Quarterly Journal of Economics,
Nr. 3,
2021
Abstract
Family and social networks are widely believed to influence important life decisions, but causal identification of those effects is notoriously challenging. Using data from Chile, Croatia, Sweden, and the United States, we study within-family spillovers in college and major choice across a variety of national contexts. Exploiting college-specific admissions thresholds that directly affect older but not younger siblings’ college options, we show that in all four countries a meaningful portion of younger siblings follow their older sibling to the same college or college-major combination. Older siblings are followed regardless of whether their target and counterfactual options have large, small, or even negative differences in quality. Spillover effects disappear, however, if the older sibling drops out of college, suggesting that older siblings’ college experiences matter. That siblings influence important human capital investment decisions across such varied contexts suggests that our findings are not an artifact of particular institutional detail but a more generalizable description of human behavior. Causal links between the postsecondary paths of close peers may partly explain persistent college enrollment inequalities between social groups, and this suggests that interventions to improve college access may have multiplier effects.
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Names and Behavior in a War
Štěpán Jurajda, Dejan Kovač
Journal of Population Economics,
Nr. 1,
2021
Abstract
We implement a novel empirical strategy for measuring and studying a strong form of nationalism—the willingness to fight and die in a war for national independence—using name choices corresponding to a previous war leader. Based on data on almost half a million soldiers, we first show that having been given a first name that is synonymous with the leader(s) of the Croatian state during World War II predicts volunteering for service in the 1991–1995 Croatian war of independence and dying during the conflict. Next, we use the universe of Croatian birth certificates and the information about nationalism conveyed by first names to suggests that in ex-Yugoslav Croatia, nationalism rose continuously starting in the 1970s and that its rise was curbed in areas where concentration camps were located during WWII. Our evidence on intergenerational transmission of nationalism is consistent with nationalist fathers purposefully reflecting the trade-off between within-family and society-wide transmission channels of political values. We also link the nationalist values we proxy using first name choices to right-wing voting behavior in 2015, 20 years after the war.
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The Gender Reveal: The Effect of Sons on Young Fathers’ Criminal Behavior and Labor Market Activities
Kabir Dasgupta, André Diegmann, Tom Kirchmaier, Alexander Plum
Labour Economics,
October
2022
Abstract
Based on New Zealand’s administrative court charges data, we document child gender-specific differences in future criminal behavior of young fathers. The deterrent impact of having a son on the future likelihood of receiving convictions persists for as long as ten years post-childbirth. Utilizing population-wide monthly tax registers and Census data, we provide key insights into the role model hypothesis. We show that young fathers with a son have (i) a higher likelihood of being in employment, (ii) higher wages and salaries, (iii) lower benefit dependency, (iv) better qualification, and (v) a higher likelihood of being in a partnered relationship.
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IWH-Flash-Indikator III. und IV. Quartal 2023
Katja Heinisch, Oliver Holtemöller, Axel Lindner, Birgit Schultz
IWH-Flash-Indikator,
Nr. 3,
2023
Abstract
Im zweiten Quartal 2023 stagnierte die Wirtschaftsleistung in Deutschland. Die Konsumausgaben der privaten Haushalte konnten sich nach den deutlichen Rückgängen in den beiden Vorquartalen stabilisieren. Dazu dürfte wohl auch die sich in den vergangenen Monaten abschwächende Inflation beigetragen haben. Die Sorgen der Unternehmen stiegen hingegen weiter deutlich: So setzt das Gemisch aus hohen Energiepreisen, geopolitischen und regulatorischen Risiken, gestiegenen Zinsen und Fachkräftemangel vor allem das Verarbeitende Gewerbe kräftig unter Druck. Die damit verbundenen Anpassungen lassen eine konjunkturelle Besserung erst Ende des Jahres 2023 möglich erscheinen. Das Bruttoinlandsprodukt (BIP) dürfte daher laut IWH-Flash-Indikator im dritten Quartal 2023 um 0,3% sinken. Im vierten Quartal beträgt der Zuwachs dann gemäß Indikator 0,5% (vgl. Abbildung 1).
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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