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Training, wages, and sample selection: estimating sharp bounds on treatment effects
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Year: 2005 Publisher: Cambridge, Mass. NBER

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Atlas of North American freshwater fishes, 1980-et seq.
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Year: 1980 Publisher: North Carolina State Museum of Natural History

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The electoral advantage to incumbency and voters' valuation of politicians' experience : a regression discontinuity analysis of elections to the US House
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Year: 2001 Publisher: Cambridge (Mass.): National bureau of economic research

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Regression Discontinuity Designs in Economics
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Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a "quasi-experimental" design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using using examples drawn from the growing body of empirical research using RD.


Digital
Program Evaluation and Research Designs
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Year: 2010 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This chapter provides a selective review of some contemporary approaches to program evaluation. One motivation for our review is the recent emergence and increasing use of a particular kind of “program” in applied microeconomic research, the so-called Regression Discontinuity (RD) Design of Thistlethwaite and Campbell (1960).  We organize our discussion of these various research designs by how they secure internal validity:  in this view, the RD design can been seen as a close “cousin” of the randomized experiment. An important distinction which emerges from our discussion of  “heterogeneous treatment effects” is between ex post (descriptive) and ex ante (predictive) evaluations; these two types of evaluations have distinct, but complementary goals.  A second important distinction we make is between statistical statements that are descriptions of our knowledge of the program assignment process and statistical statements that are structural assumptions about individual behavior. Using these distinctions, we examine some commonly employed evaluation strategies, and assess them with a common set of criteria for “internal validity”, the foremost goal of an ex post evaluation.  In some cases, we also provide some concrete illustrations of how internally valid causal estimates can be supplemented with specific structural assumptions to address “external validity”: the estimate from an internally valid "experimental" estimate  can be viewed as a “leading term” in an extrapolation for a parameter of interest in an ex ante evaluation.


Digital
The impact of unionization on establishment closure: a regression discontinuity analysis of representation elections
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Year: 2002 Publisher: Cambridge, Mass. NBER

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Economic impacts of unionization on private sector employers: 1984-2001
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Year: 2004 Publisher: Cambridge, Mass. NBER

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Crime, punishment, and myopia
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Year: 2005 Publisher: Cambridge, Mass. NBER

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Handbook of Complex Percutaneous Carotid Intervention
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ISBN: 1280831936 9786610831937 1597450022 1588296059 Year: 2007 Publisher: Totowa, NJ : Humana Press : Imprint: Humana,

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Deals with the use of a catheter threaded into the carotid artery to prevent stroke or relieve pre-stroke symptoms, followed by the placement of a stent. This book also covers intracranial as well as extracranial procedures.


Digital
Regression Kink Design : Theory and Practice
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Year: 2016 Publisher: Cambridge, Mass. National Bureau of Economic Research

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A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in Austria, and discuss implementation issues that may arise in similar settings, including the use of bandwidth selection algorithms and bias-correction procedures. Although recent developments in nonparametric estimation (e.g. Imbens et al. (2012) and Calonico et al. (2014)) are sometimes interpreted by practitioners as pointing to a default estimation procedure, we show that in any given application different procedures may perform better or worse. In particular, Monte Carlo simulations based on data generating processes that closely resemble the data from our application show that some asymptotically dominant procedures may actually perform worse than "sub-optimal" alternatives in a given empirical application.

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