Improving the Implementation and Effectiveness of Out‐of‐School‐Time Tutoring

School districts are spending millions on tutoring outside regular school day hours for economically and academically disadvantaged students in need of extra academic assistance. Under No Child Left Behind (NCLB), parents of children in persistently low‐performing schools were allowed to choose their child's tutoring provider, and together with school districts, they were also primarily responsible for holding providers in the private market accountable for performance. We present results from a multisite, mixed‐method longitudinal study of the impact of out‐of‐school time (OST) tutoring on student reading and mathematics achievement that link provider attributes and policy and program administration variables to tutoring program effectiveness. We find that many students are not getting enough hours of high‐quality, differentiated instruction to produce significant gains in their learning, in part because of high hourly rates charged by providers for tutoring. We identify strategies and policy levers that school districts can use to improve OST tutoring policy design and launch improved programs as waivers from NCLB are granted.     

Parental leave policies and parents' employment and leave‐taking

We describe trends in maternal employment and leave‐taking after birth of a newborn and analyze the extent to which these behaviors are influenced by parental leave policies. Data are from the June Current Population Survey (CPS) Fertility Supplements, merged with other months of the CPS, and cover the period 1987 to 1994. This time span is one during which parental leave legislation expanded at both the state and federal level. We also provide the first comprehensive examination of employment and leave‐taking by fathers of infants. Our main finding is that leave expansions are associated with increased leave‐taking by both mothers and fathers. The magnitudes of the changes are small in absolute terms but large relative to the baseline for men and much greater for college‐educated or married mothers than for their less‐educated or single counterparts. © 2009 by the Association for Public Policy Analysis and Management     

Voter Engagement,Electoral Inequality and First‐Time Compulsory Voting

This paper reviews the problem of declining turnout and proposes as a solution a system whereby each elector would be legally obliged to vote in the first election for which they were eligible. Popular attitudes toward first‐time compulsory voting are measured and probed by means of UK data. The main findings of the paper are that first‐time compulsory voting is a politically and administratively feasible proposal that appears tentatively to command popular support and has the potential to help address a number of the problems associated with declining turnout, and in particular low rates of electoral participation among younger citizens.     

Civil War and Social Cohesion: Lab‐in‐the‐Field Evidence from Nepal

We study effects of wartime violence on social cohesion in the context of Nepal's 10‐year civil war. We begin with the observation that violence increased levels of collective action like voting and community organization—a finding consistent with other recent studies of postconflict societies. We use lab‐in‐the‐field techniques to tease apart such effects. Our causal‐identification strategy exploits communities' exogenous isolation from the unpredictable path of insurgency combined with matching. We find that violence‐affected communities exhibit higher levels of prosocial motivation, measured by altruistic giving, public good contributions, investment in trust‐based transactions, and willingness to reciprocate trust‐based investments. We find evidence to support two social transformation mechanisms: (1) a purging mechanism by which less social persons disproportionately flee communities plagued by war and (2) a collective coping mechanism by which individuals who have few options to flee band together to cope with threats.     

Language Shapes People's Time Perspective and Support for Future‐Oriented Policies

Can the way we speak affect the way we perceive time and think about politics? Languages vary by how much they require speakers to grammatically encode temporal differences. Futureless tongues (e.g., Estonian) do not oblige speakers to distinguish between the present and future tense, whereas futured tongues do (e.g., Russian). By grammatically conflating “today” and “tomorrow,” we hypothesize that speakers of futureless tongues will view the future as temporally closer to the present, causing them to discount the future less and support future‐oriented policies more. Using an original survey experiment that randomly assigned the interview language to Estonian/Russian bilinguals, we find support for this proposition and document the absence of this language effect when a policy has no obvious time referent. We then replicate and extend our principal result through a cross‐national analysis of survey data. Our results imply that language may have significant consequences for mass opinion.     

Determinants of Pay‐as‐You‐Go Financing of Capital Projects: Evidence from the States

Although states have long practiced pay‐as‐you‐go in financing their capital projects as a supplement to debt, academia has paid scarce attention to pay‐go financing. This study fills in the niche by providing empirical evidence on what determines the use of pay‐go in financing capital projects. It develops a model that considers the preferences of both voters and politicians when they make capital financing decisions in a given institutional setting. The empirical results suggest that the use of pay‐go is affected by a state's income level, its economic conditions, the presence of a divided government, as well as its budgetary institutions.     

The Impact of Elections on Cooperation: Evidence from a Lab‐in‐the‐Field Experiment in Uganda

Communities often rely on sanctioning to induce public goods contributions. Past studies focus on how external agencies or peer sanctioning induce cooperation. In this article, we focus instead on the role played by centralized authorities, internal to the community. Combining “lab‐in‐the‐field” experiments with observational data on 1,541 Ugandan farmers from 50 communities, we demonstrate the positive effect of internal centralized sanctioning authorities on cooperative behavior. We also show that the size of this effect depends on the political process by which authority is granted: subjects electing leaders contribute more to public goods than subjects who were assigned leaders through a lottery. To test the ecological validity of our findings, we relate farmers’ behavior in the experiment to their level of cooperation in their community organization. We show that deference to authority in the controlled setting predicts cooperative behavior in the farmers’ natural environment, in which they face a similar social dilemma.     

On‐Bill Financing Programs to Support Low‐Carbon Energy Technologies: An Agent‐Oriented Assessment

On‐bill financing (OBF) schemes have been welcomed as innovative mechanisms for encouraging the adoption of low‐carbon energy technologies. Yet while the potential effects of these schemes have received growing attention, less is known about their actual performance. Departing from New Institutional Economics and insights from Behavioral Economics, this theory‐driven assessment examines the How$mart^® program in Kansas (United States) and the Green Deal in the United Kingdom. The study identifies the mechanisms designed to trigger behavioral change and technology adoption. We focus on market agents, and related market failures and behavioral anomalies that often prevent energy efficiency improvements. The paper adds to our theoretical and empirical understanding of public and utility‐driven OBF programs applied to the residential sector. Our findings suggest that simple, carefully designed on‐bill programs, where the financing of efficient technologies takes the form of a service rather than a loan, are more effective for the diffusion of low‐carbon energy technology and the reduction of transaction costs. At the same time, on bill‐financing schemes challenge the core business of utilities, and given the complexities and dynamics of energy efficiency markets and energy use, other policy interventions are needed.     

Learning from Second‐Hand Experience: Methodology for Extrapolation‐Oriented Case Research

Critics of public management reform complain that governments copy legitimated foreign practices. Recent work by Eugene Bardach helps to explain why: neither government analysts nor academic researchers possess an adequate methodology to examine practices in source sites, with a view toward adaptation in target sites. Rather than complain, Bardach takes steps to develop such a methodology, drawing analogies with reverse engineering. This article offers specific guidance about how researchers can effectively investigate practices in source sites to prepare the ground for disciplined and ingenious extrapolation of practices from source to target sites. The resulting translation is illustrated by an extrapolation‐oriented case study.     

Front‐Door Difference‐in‐Differences Estimators

We develop front‐door difference‐in‐differences estimators as an extension of front‐door estimators. Under one‐sided noncompliance, an exclusion restriction, and assumptions analogous to parallel trends assumptions, this extension allows identification when the front‐door criterion does not hold. Even if the assumptions are relaxed, we show that the front‐door and front‐door difference‐in‐differences estimators may be combined to form bounds. Finally, we show that under one‐sided noncompliance, these techniques do not require the use of control units. We illustrate these points with an application to a job training study and with an application to Florida's early in‐person voting program. For the job training study, we show that these techniques can recover an experimental benchmark. For the Florida program, we find some evidence that early in‐person voting had small positive effects on turnout in 2008. This provides a counterpoint to recent claims that early voting had a negative effect on turnout in 2008.     

Peasant federations and rural development policies in the Andes

This chapter focuses on a special type of structural social capital embedded in second-tier indigenous peasant federations in the Andean countries. It first examines the manifestations of this social capital and then goes on to analyze the strategies of the various social actors for its use, mainly to further the interests of poor and oppressed members, but often in the service of broader societal or narrower partisan purposes. Cases are presented to illustrate how such a social capital resource, once created, can be used or transformed for other than the original purposes. Sometimes these spillovers are socially beneficial, confirming the mutability thesis of Hirschman (1984); but in other cases the diversions can be harmful and disempowering. The authors conclude that even considering these varied uses, meso-level peasant federations, when incorporated into rural development policies, can help to achieve equity and sustainability.     

Pay‐as‐You‐Go Financing and Capital Outlay Volatility: Evidence from the States over Two Recent Economic Cycles

Pay‐as‐you‐go (pay‐go or cash) and pay‐as‐you‐use (pay‐use or debt) are two mechanisms to finance capital projects. While pay‐go faces multiple constraints, pay‐use smoothes outlays, stabilizes tax rates, and improves inter‐generational equity. Thus, pay‐use has dominated infrastructure financing for decades. In recent years, there has been revived academic interest in pay‐go as an alternate financing mechanism; however, there is a large gap in the literature and inadequate evidence on the effects of pay‐go, especially its effects on capital outlay volatility. This paper fills in the niche. Examining state experience over the two recent economic cycles, this paper finds evidence that suggests that pay‐go is associated with lower volatility in capital spending in the long run, but may increase short‐run variability. We recommend that states couple pay‐go in boom years with pay‐use in lean years. In unison, the two mechanisms can reduce aggregate volatility and increase long‐run stability of capital expenditures.     

What to Do about Missing Values in Time‐Series Cross‐Section Data

Applications of modern methods for analyzing data with missing values, based primarily on multiple imputation, have in the last half‐decade become common in American politics and political behavior. Scholars in this subset of political science have thus increasingly avoided the biases and inefficiencies caused by ad hoc methods like listwise deletion and best guess imputation. However, researchers in much of comparative politics and international relations, and others with similar data, have been unable to do the same because the best available imputation methods work poorly with the time‐series cross‐section data structures common in these fields. We attempt to rectify this situation with three related developments. First, we build a multiple imputation model that allows smooth time trends, shifts across cross‐sectional units, and correlations over time and space, resulting in far more accurate imputations. Second, we enable analysts to incorporate knowledge from area studies experts via priors on individual missing cell values, rather than on difficult‐to‐interpret model parameters. Third, because these tasks could not be accomplished within existing imputation algorithms, in that they cannot handle as many variables as needed even in the simpler cross‐sectional data for which they were designed, we also develop a new algorithm that substantially expands the range of computationally feasible data types and sizes for which multiple imputation can be used. These developments also make it possible to implement the methods introduced here in freely available open source software that is considerably more reliable than existing algorithms.     

The Cost‐Effectiveness of Welfare‐to‐Work Programs: A Meta‐Analysis

This article uses the tools of meta‐analysis to assess cost–benefit studies of 50 mandatory welfare‐to‐work programs that were targeted at Aid for Families with Dependent Children recipients and evaluated by random assignment. The findings suggest that the costs of a typical evaluated welfare‐to‐work program probably exceeded its benefits from the perspective of the government, but those assigned to the program, and possibly society as a whole, may reap small positive net benefits. However, there are individual programs that are very cost‐beneficial. Further analyses of the determinants of the cost‐benefits of welfare‐to‐work programs to government and society as a whole show that some services are cost‐neutral, but others entail net costs, which are sometimes substantial. The findings suggest that less successful programs might be made more cost‐beneficial by dropping vocational training and basic education as program components, leaving mainly lower cost components, such as mandated job search and sanctions, but also possibly the more costly financial incentives.     

Dynamic Pie: A Strategy for Modeling Trade‐Offs in Compositional Variables over Time

The substance of politics involves competition that evolves over time. While our theories about competition emphasize trade‐offs across multiple categories, most empirical models tend to oversimplify them by considering trade‐offs between one category and everything else. We propose a research strategy for testing theories about trade‐off relationships that shape dynamic compositional variables. This approach improves current methods used to analyze compositional dependent variables by addressing two limitations. First, although scholars have considered compositional dependent variables, they have done so in contexts that were not dynamic. Second, current approaches toward graphical presentations become unwieldy when the compositional dependent variable has more than three categories. We demonstrate the utility of our strategy to expand current theories of party support and political budgeting. In both cases, we can extend trade‐offs across pairs of alternatives (e.g., prime minister versus all other parties or spending on defense versus everything else) to competition across multiple alternatives.