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The Impact of Online Competition on Local Newspapers: Evidence from the Introduction of Craigslist

Milena Djourelova, Ruben Durante, and Gregory J. Martin

How does competition from online platforms affect the organization, performance, and editorial choices of newspapers? What are the implications of these changes for the information voters are exposed to and for their political choices? We study these questions using the staggered introduction of Craigslist—the world’s largest online platform for classified advertising — across US counties between 1995 and 2009. This setting allows us to separate the effect of competition for classified advertising from other changes brought about by the Internet, and to compare newspapers that relied more or less heavily on classified ads ex ante.

Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games

Adam Dearing and Jason R. Blevins

We propose a new sequential Efficient Pseudo-Likelihood (k-EPL) estimator for dynamic discrete choice games of incomplete information. k-EPL considers the joint behavior of multiple players simultaneously, as opposed to individual responses to other agents’ equilibrium play. This, in addition to reframing the problem from conditional choice probability (CCP) space to value function space, yields a computationally tractable, stable, and efficient estimator. We show that each iteration in the k-EPL sequence is consistent and asymptotically efficient, so the first-order asymptotic properties do not vary across iterations.

(Successful) Democracies Breed Their Own Support

Daron Acemoglu, Nicolás Ajzenman, Cevat Giray Aksoy, Martin Fiszbein, and Carlos Molina

Using large-scale survey data covering more than 110 countries and exploiting within-country variation across cohorts and surveys, we show that individuals with longer exposure to democracy display stronger support for democratic institutions, and that this effect is almost entirely driven by exposure to democracies with successful performance in terms of economic growth, control of corruption, peace and political stability, and public goods provision.

A Theory of Socially Responsible Investment

Martin Oehmke and Marcus M. Opp

We characterize the conditions under which a socially responsible (SR) fund induces firms to reduce externalities, even when profit-seeking capital is in perfectly elastic supply. Such impact requires that the SR fund’s mandate permits the fund to trade off financial performance against reductions in social costs — relative to the counterfactual in which the fund does not invest in a given firm. Based on such an impact mandate, we derive the social profitability index (SPI), an investment criterion that characterizes the optimal ranking of impact investments when SR capital is scarce.

Tapping into Talent: Coupling Education and Innovation Policies for Economic Growth

Ufuk Akcigit, Jeremy Pearce, and Marta Prato

How do innovation and education policy affect individual career choices and aggregate productivity? This paper analyzes the effect of R&D subsidies and higher education policy on productivity growth through the supply of innovative talent. We put scarce talent, higher education attainment, and career choice at the center of a new endogenous growth framework with individual-level heterogeneity in talent, financial resources, and preferences. We link the model to micro-level data from Denmark on the backgrounds of who obtains a PhD and becomes an inventor and the outcomes of a set of policy interventions.

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Our paper on Amazon deforestation is out! Grateful to everyone who helped along the way. I'd like to highlight one thing that made a huge difference: clear and thoughtful guidance from the editor.

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Using frailty as the measure of health, a new paper by @roozbeh52, @KopeckyEcon and Zhao, recently accepted to #REStud, finds that health inequality accounts for 28 percent of lifetime earnings inequality.

https://www.restud.com/how-important-is-health-inequality-for-lifetime-earnings-inequality/

#EconSky #health #frailty #disability

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"This study estimates the carbon-efficient forest cover in the Brazilian Amazon. A $10/ton carbon tax could preserve 95% of the efficient carbon stock, avoiding 42B tons of CO2 & yielding $1.6T in welfare gains."

New paper from @AraujoCRRafael, @_FranciscoCosta
& Sant'Anna:

👇

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Recently accepted to #REStud, "Barriers to Entry and Regional Economic Growth in China," from Brandt, Kambourov, and Storesletten:

https://www.restud.com/barriers-to-entry-and-regional-economic-growth-in-china/

#econtwitter #China #SOE

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