Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program

Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. We demonstrate that following Proposition 99 tobacco consumption fell markedly in California relative to a comparable synthetic control region. We estimate that by the year 2000 annual per-capita cigarette sales in California were about 26 packs lower than what they would have been in the absence of Proposition 99. Given that many policy interventions and events of interest in social sciences take place at an aggregate level (countries, regions, cities, etc.) and affect a small number of aggregate units, the potential applicability of synthetic control methods to comparative case studies is very large, especially in situations where traditional regression methods are not appropriate. The methods proposed in this article produce informative inference regardless of the number of available comparison units, the number of available time periods, and whether the data are individual (micro) or aggregate (macro). Software to compute the estimators proposed in this article is available at the authors' web-pages.

Synth: An R Package for Synthetic Control Methods in Comparative Case Studies

The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal effects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to investigate events occurring at an aggregate level (i.e., countries, cities, regions, etc.) and affecting a relatively small number of units. Benefits and features of the Synth package are illustrated using data from Abadie and Gardeazabal (2003), which examined the economic impact of the terrorist conflict in the Basque Country.

Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program

Building on an idea in Abadie and Gardeazabal (2003), this article investigates the application of synthetic control methods to comparative case studies. We discuss the advantages of these methods and apply them to study the effects of Proposition 99, a large-scale tobacco control program that California implemented in 1988. We demonstrate that following Proposition 99 tobacco consumption fell markedly in California relative to a comparable synthetic control region. We estimate that by the year 2000 annual per-capita cigarette sales in California were about 26 packs lower than what they would have been in the absence of Proposition 99. Given that many policy interventions and events of interest in social sciences take place at an aggregate level (countries, regions, cities, etc.) and affect a small number of aggregate units, the potential applicability of synthetic control methods to comparative case studies is very large, especially in situations where traditional regression methods are not appropriate. The methods proposed in this article produce informative inference regardless of the number of available comparison units, the number of available time periods, and whether the data are individual (micro) or aggregate (macro). Software to compute the estimators proposed in this article is available at the authors' web-pages.

Synth: An R Package for Synthetic Control Methods in Comparative Case Studies

The R package Synth implements synthetic control methods for comparative case studies designed to estimate the causal e ects of policy interventions and other events of interest (Abadie and Gardeazabal 2003; Abadie, Diamond, and Hainmueller 2010). These techniques are particularly well-suited to investigate events occurring at an aggregate level (i.e., countries, cities, regions, etc.) and a ffecting a relatively small number of units. Bene ts and features of the Synth package are illustrated using data from Abadie and Gardeazabal (2003), which examined the economic impact of the terrorist conflict in the Basque Country.National Science Foundation (U.S.) (grant SES-0350645

Male gays in the female gaze: women who watch m/m pornography

This paper draws on a piece of wide-scale mixed-methods research that examines the motivations behind women who watch gay male pornography. To date there has been very little interdisciplinary research investigating this phenomenon, despite a recent survey by PornHub (one of the largest online porn sites in the world) showing that gay male porn is the second most popular choice for women porn users out of 25+ possible genre choices. While both academic literature and popular culture have looked at the interest that (heterosexual) men have in lesbian pornography, considerably less attention has been paid to the consumption of gay male pornography by women. Research looking at women's consumption of pornography from within the Social Sciences is very focused around heterosexual (and, to a lesser extent, lesbian) pornography. Research looking more generally at gay pornography/erotica (and the subversion of the ‘male gaze’/concept of ‘male as erotic object’) often makes mention of female interest in this area, but only briefly, and often relies on anecdotal or observational evidence. Research looking at women's involvement in slashfic (primarily from within media studies), while very thorough and rich, tends to view slash writing as a somewhat isolated phenomenon (indeed, in her influential article on women's involvement in slash, Bacon-Smith talks about how ‘only a small number’ of female slash writers and readers have any interest in gay literature or pornography more generally, and this phenomenon is not often discussed in more recent analyses of slash); so while there has been a great deal of very interesting research done in this field, little attempt has been made to couch it more generally within women's consumption and use of pornography and erotica or to explore what women enjoy about watching gay male pornography. Through a series of focus groups, interviews, and an online questionnaire (n = 275), this exploratory piece of work looks at what women enjoy about gay male pornography, and how it sits within their consumption of erotica/pornography more generally. The article investigates what this has to say about the existence and nature of a ‘female gaze’

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

Incomplete market dynamics and cross-sectional distributions

The size distributions of many economic variables seem to obey the double power law, that is, the power law holds in both the upper and the lower tails. I explain this emergence of the double power law-which has important economic, econometric, and social implications-using a tractable dynamic stochastic general equilibrium model with heterogeneous agents subject to aggregate and idiosyncratic investment risks. I establish theoretical properties such as existence, uniqueness, and constrained efficiency of equilibrium, and provide a numerical algorithm that is guaranteed to converge. The model is widely applicable: it allows for arbitrary homothetic CRRA recursive preferences, an arbitrary Markov process governing aggregate shocks, and an arbitrary number of technologies and assets with arbitrary portfolio constraints