<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Teaching the Tax Code: Earnings Responses to an Experiment with EITC Recipients</ti>
<augp>
<au><gnm>Raj</gnm><snm>Chetty</snm><aff>Littauer Center, Harvard U</aff></au>
<au><gnm>Emmanuel</gnm><snm>Saez</snm><aff>U CA, Berkeley</aff></au>
</augp>
<pp>
<ppf>1</ppf>
<ppl>31</ppl>
</pp>
<ab>We conducted a randomized experiment with 43,000 EITC recipients at H&R Block. Tax preparers gave simple, personalized information about the EITC schedule to half of their clients. We find no significant effects of information provision on earnings in the subsequent year in the full sample. Further exploration uncovers evidence of heterogeneous treatment effects on both self-employment income and wage earnings across the 1,461 tax preparers involved in the experiment. Providing information about tax incentives does not systematically effect earnings on average. However, tax preparers may influence their clients' earnings decisions by providing advice about how to respond to tax incentives. (JEL H23, H24, H26, J23, J31)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.1</art_url>
<doi>10.1257/app.5.1.1</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>The Trouble with Boys: Social Influences and the Gender Gap in Disruptive Behavior</ti>
<augp>
<au><gnm>Marianne</gnm><snm>Bertrand</snm><aff>U Chicago and IZA, Bonn</aff></au>
<au><gnm>Jessica</gnm><snm>Pan</snm><aff>National U Singapore</aff></au>
</augp>
<pp>
<ppf>32</ppf>
<ppl>64</ppl>
</pp>
<ab>This paper explores the importance of the home and school environments in explaining the gender gap in disruptive behavior. We
document large differences in the gender gap across key features of
the home environment -- boys do especially poorly in broken families.
In contrast, we find little impact of the early school environment on
noncognitive gaps. Differences in endowments explain a small part
of boys' noncognitive deficit in single-mother families. More importantly, noncognitive returns to parental inputs differ markedly by
gender. Broken families are associated with worse parental inputs,
and boys' noncognitive development, unlike that of girls', appears
extremely responsive to such inputs. (JEL I21, J12, J13, J16, Z13)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.32</art_url>
<doi>10.1257/app.5.1.32</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Real Wage Inequality</ti>
<augp>
<au><gnm>Enrico</gnm><snm>Moretti</snm><aff>U CA, Berkeley</aff></au>
</augp>
<pp>
<ppf>65</ppf>
<ppl>103</ppl>
</pp>
<ab>While nominal wage differences between skilled and unskilled workers
have increased since 1980, college graduates have experienced
larger increases in cost of living because they have increasingly
concentrated in cities with high cost of housing. Using a city-specific
CPI, I find that real wage differences between college and
high school graduates have grown significantly less than nominal
differences. Changes in the geographical location of different skill
groups are to a significant degree driven by city-specific shifts in
relative demand. I conclude that the increase in utility differences
between skilled and unskilled workers since 1980 is smaller than
previously thought based on nominal wage differences. (JEL J22,
J23, J24, J31, R23, R31)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.65</art_url>
<doi>10.1257/app.5.1.65</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Barriers to Household Risk Management: Evidence from India</ti>
<augp>
<au><gnm>Shawn</gnm><snm>Cole</snm><aff>Harvard U</aff></au>
<au><gnm>Xavier</gnm><snm>Gine</snm><aff>World Bank</aff></au>
<au><gnm>Jeremy</gnm><snm>Tobacman</snm><aff>U PA</aff></au>
<au><gnm>Petia</gnm><snm>Topalova</snm><aff>IMF</aff></au>
<au><gnm>Robert</gnm><snm>Townsend</snm><aff>MIT</aff></au>
<au><gnm>James</gnm><snm>Vickery</snm><aff>Federal Reserve Bank of New York</aff></au>
</augp>
<pp>
<ppf>104</ppf>
<ppl>35</ppl>
</pp>
<ab>Why do many households remain exposed to large exogenous
sources of nonsystematic income risk? We use a series of randomized
field experiments in rural India to test the importance of price and
nonprice factors in the adoption of an innovative rainfall insurance
product. Demand is significantly price sensitive, but widespread
take-up would not be achieved even if the product offered a payout
ratio comparable to US insurance contracts. We present evidence
suggesting that lack of trust, liquidity constraints, and limited
salience are significant nonprice frictions that constrain demand.
We suggest possible contract design improvements to mitigate these
frictions. (JEL D14, D81, O12, O13, O16, O18, Q12)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.104</art_url>
<doi>10.1257/app.5.1.104</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Back on the Rails: Competition and Productivity in State-Owned Industry</ti>
<augp>
<au><gnm>Sanghamitra</gnm><snm>Das</snm><aff>?</aff></au>
<au><gnm>Kala</gnm><snm>Krishna</snm><aff>PA State U and CESifo, Munich</aff></au>
<au><gnm>Sergey</gnm><snm>Lychagin</snm><aff>Central European U, Budapest</aff></au>
<au><gnm>Rohini</gnm><snm>Somanathan</snm><aff>Delhi School of Economics</aff></au>
</augp>
<pp>
<ppf>136</ppf>
<ppl>62</ppl>
</pp>
<ab>We use a proprietary dataset on the floor-level operations at the
largest rail mill in India to study the response of productivity to the
threat of entry. Output per active shift increased by 28 percent over
3 years with minimal changes in physical capital and employment.
By combining data on the timing of various training programs in the
mill with shift-level variation in worker composition, we are able
to attribute over half of the higher productivity to training specifically
targeted toward improving rail output. Our work suggests high
returns to knowledge-enhancing investment in emerging economies.
(JEL D22, D24, J24, L23, L32, L61, O14)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.136</art_url>
<doi>10.1257/app.5.1.136</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Savings Constraints and Microenterprise Development: Evidence from a Field Experiment in Kenya</ti>
<augp>
<au><gnm>Pascaline</gnm><snm>Dupas</snm><aff>Stanford U</aff></au>
<au><gnm>Jonathan</gnm><snm>Robinson</snm><aff>U CA, Santa Cruz</aff></au>
</augp>
<pp>
<ppf>163</ppf>
<ppl>92</ppl>
</pp>
<ab>Does limited access to formal savings services impede business
growth in poor countries? To shed light on this question, we randomized access to noninterest-bearing bank accounts among two types of self-employed individuals in rural Kenya: market vendors (who are mostly women) and men working as bicycle taxi drivers. Despite large withdrawal fees, a substantial share of market women used the accounts, were able to save more, and increased their productive investment and private expenditures. We see no impact for bicycle taxi drivers. These results imply significant barriers to savings and investment for market women in our study context. (JEL D14, G21, J16, J23, O12, O14, O16)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.163</art_url>
<doi>10.1257/app.5.1.163</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Cognitive Abilities and Household Financial Decision Making</ti>
<augp>
<au><gnm>Sumit</gnm><snm>Agarwal</snm><aff>National U Singapore</aff></au>
<au><gnm>Bhashkar</gnm><snm>Mazumder</snm><aff>Federal Reserve Bank of Chicago</aff></au>
</augp>
<pp>
<ppf>193</ppf>
<ppl>207</ppl>
</pp>
<ab>We analyze the effects of cognitive abilities on two examples of consumer financial decisions where suboptimal behavior is well defined. The first example features the optimal use of credit cards for convenience transactions after a balance transfer and the second involves a financial mistake on a home equity loan application. We find that consumers with higher overall test scores, and specifically those with higher math scores, are substantially less likely to make a financial mistake. These mistakes are generally not associated with nonmath test scores. (JEL D14, G21)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.193</art_url>
<doi>10.1257/app.5.1.193</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Do Oil Windfalls Improve Living Standards? Evidence from Brazil</ti>
<augp>
<au><gnm>Francesco</gnm><snm>Caselli</snm><aff>London School of Economics and Political Science</aff></au>
<au><gnm>Guy</gnm><snm>Michaels</snm><aff>London School of Economics and Political Science</aff></au>
</augp>
<pp>
<ppf>208</ppf>
<ppl>38</ppl>
</pp>
<ab>We use variation in oil output among Brazilian municipalities to
investigate the effects of resource windfalls on government behavior.
Oil-rich municipalities experience increases in revenues and report
corresponding increases in spending on public goods and services.
However, survey data and administrative records indicate that social
transfers, public good provision, infrastructure, and household
income increase less (if at all) than one might expect given the higher
reported spending. (JEL H41, H75, I31, O13, O15, O17, O18)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.208</art_url>
<doi>10.1257/app.5.1.208</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Slum Clearance and Urban Renewal in the United States</ti>
<augp>
<au><gnm>William J.</gnm><snm>Collins</snm><aff>Vanderbilt U</aff></au>
<au><gnm>Katharine L.</gnm><snm>Shester</snm><aff>Washington and Lee U</aff></au>
</augp>
<pp>
<ppf>239</ppf>
<ppl>73</ppl>
</pp>
<ab>We study the local effects of a federal program that helped cities clear
areas for redevelopment, rehabilitate structures, complete city plans,
and enforce building codes. We use an instrumental variable strategy
to estimate the program's effects on city-level measures of income,
property values, employment and poverty rates, and population. The
estimated effects on income, property values, and population are positive and economically significant. They are not driven by changes
in demographic composition. Estimated effects on poverty reduction
and employment are positive but imprecise. The results are consistent
with a model in which local productivity is enhanced. (JEL I32, N32,
N92, R23, R38, R58)</ab>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.239</art_url>
<doi>10.1257/app.5.1.239</doi>
</artinfo>
</head>


<head>
<pubinfo>
<pubnm>American Economic Association</pubnm>
<publoc>Nashville, TN</publoc>
</pubinfo>
<jrninfo>
<issn>1945-7782</issn>
<issn_online>1945-7790</issn_online>
<jrnti>American Economic Journal: Applied Economics</jrnti>
<jrnurl>http://www.aeaweb.org/aej-applied/</jrnurl>
</jrninfo>
<issinfo>
<vol>5</vol>
<iss>1</iss>
<cd>January 2013</cd>
<iss_url>http://www.aeaweb.org/issue.php?journal=APP&volume=5&issue=1</iss_url>
</issinfo>
<docty>Journal Article</docty>
<artinfo>
<ti>Front Matter</ti>
<augp>
</augp>
<pp>
<ppf>i</ppf>
<ppl>vi</ppl>
</pp>
<art_url>http://www.aeaweb.org/articles.php?doi=10.1257/app.5.1.i</art_url>
<doi>10.1257/app.5.1.i</doi>
</artinfo>
</head>


 