


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Front Matter</ti>
<augp>
</augp>
<pp>
<ppf>1</ppf>
<ppl>4</ppl>
</pp>
<ab> </ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.1</art_url>
<doi>10.1257/jel.48.2.1</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Articles</docty>
<artinfo>
<ti>Regression Discontinuity Designs in Economics</ti>
<augp>
<au><gnm>David S.</gnm><snm>Lee</snm><aff>Princeton U</aff></au>
<au><gnm>Thomas</gnm><snm>Lemieux</snm><aff>U British Columbia</aff></au>
</augp>
<pp>
<ppf>281</ppf>
<ppl>355</ppl>
</pp>
<ab>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 examples drawn from the growing body of empirical research using RD. ( JEL C21, C31)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.281</art_url>
<doi>10.1257/jel.48.2.281</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Forum on the Estimation of Treatment Effects</docty>
<artinfo>
<ti>Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy</ti>
<augp>
<au><gnm>James J.</gnm><snm>Heckman</snm><aff>U Chicago and U College Dublin</aff></au>
</augp>
<pp>
<ppf>356</ppf>
<ppl>98</ppl>
</pp>
<ab>This paper compares the structural approach to economic policy analysis with the program evaluation approach. It offers a third way to do policy analysis that combines the best features of both approaches. I illustrate the value of this alternative approach by making the implicit economics of LATE explicit, thereby extending the interpretability
and range of policy questions that LATE can answer. (JEL C21, E61)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.356</art_url>
<doi>10.1257/jel.48.2.356</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Forum on the Estimation of Treatment Effects</docty>
<artinfo>
<ti>Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)</ti>
<augp>
<au><gnm>Guido W.</gnm><snm>Imbens</snm><aff>Harvard U</aff></au>
</augp>
<pp>
<ppf>399</ppf>
<ppl>423</ppl>
</pp>
<ab>Two recent papers, Deaton (2009) and Heckman and Urzua (2009), argue against
what they see as an excessive and inappropriate use of experimental and quasi-experimental methods in empirical work in economics in the last decade. They specifically question the increased use of instrumental variables and natural experiments in labor
economics and of randomized experiments in development economics. In these comments, I will make the case that this move toward shoring up the internal validity of estimates, and toward clarifying the description of the population these estimates are
relevant for, has been important and beneficial in increasing the credibility of empirical work in economics. I also address some other concerns raised by the Deaton and
Heckman-Urzua papers. (JEL C21, C31)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.399</art_url>
<doi>10.1257/jel.48.2.399</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Forum on the Estimation of Treatment Effects</docty>
<artinfo>
<ti>Instruments, Randomization, and Learning about Development</ti>
<augp>
<au><gnm>Angus</gnm><snm>Deaton</snm><aff>Princeton U</aff></au>
</augp>
<pp>
<ppf>424</ppf>
<ppl>55</ppl>
</pp>
<ab>There is currently much debate about the effectiveness of foreign aid and about what kind of projects can engender economic development. There is skepticism about the ability of econometric analysis to resolve these issues or of development agencies to
learn from their own experience. In response, there is increasing use in development economics of randomized controlled trials (RCTs) to accumulate credible knowledge of what works, without overreliance on questionable theory or statistical methods. When RCTs are not possible, the proponents of these methods advocate quasi-randomization through instrumental variable (IV) techniques or natural experiments. I argue that many of these applications are unlikely to recover quantities that are useful for policy or understanding: two key issues are the misunderstanding of exogeneity
and the handling of heterogeneity. I illustrate from the literature on aid and growth. Actual randomization faces similar problems as does quasi-randomization, notwithstanding rhetoric to the contrary. I argue that experiments have no special ability to
produce more credible knowledge than other methods, and that actual experiments are frequently subject to practical problems that undermine any claims to statistical or epistemic superiority. I illustrate using prominent experiments in development
and elsewhere. As with IV methods, RCT-based evaluation of projects, without guidance from an understanding of underlying mechanisms, is unlikely to lead to scientific progress in the understanding of economic development. I welcome recent trends in development experimentation away from the evaluation of projects and toward the
evaluation of theoretical mechanisms. (JEL C21, F35, O19)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.424</art_url>
<doi>10.1257/jel.48.2.424</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Books</docty>
<artinfo>
<ti>Book Reviews</ti>
<augp>
</augp>
<pp>
<ppf>456</ppf>
<ppl>71</ppl>
</pp>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.456</art_url>
<doi>10.1257/jel.48.2.456</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Books</docty>
<artinfo>
<ti>Annotated Listing of New Books</ti>
<augp>
</augp>
<pp>
<ppf>472</ppf>
<ppl>586</ppl>
</pp>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.472</art_url>
<doi>10.1257/jel.48.2.472</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>0022-8282</issn>
<jrnti>Journal of Economic Literature</jrnti>
<jrnurl>http://www.aeaweb.org/journal.html</jrnurl>
</jrninfo>
<issinfo>
<vol>48</vol>
<iss>2</iss>
<cd>June 2010</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=JEL&volume=48&issue=2</iss_url>
</issinfo>
<docty>Books</docty>
<artinfo>
<ti>JEL Classification System</ti>
<augp>
</augp>
<pp>
<ppf>587</ppf>
<ppl>600</ppl>
</pp>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/jel.48.2.587</art_url>
<doi>10.1257/jel.48.2.587</doi>
</artinfo>
</head>


