DOES TEACHER‐FAMILY EXPERIENCE AFFECT TEST SCORES?

Since families play a pivotal role in elementary schools, student learning may be influenced by how well the teacher knows a family and how well the parents know the teacher. We test this hypothesis by evaluating whether assignment to a teacher who has previously taught an older sibling affects test scores. We refer to teachers who have previously taught the older sibling as having “teacher‐family experience” when teaching the younger sibling. Using a novel data set that includes administrative data on students and teachers matched to family identifiers, we find that when the older sibling's teacher is teaching in the younger sibling's grade, 40% of younger siblings are assigned their older sibling teachers. We find that teacher‐family experience does not have any significant effects on test scores and we can statistically rule out small effects. (JEL I20)     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Resources and Student Achievement—Evidence from a Swedish Policy Reform*

A policy change is used to estimate the effect of teacher density on student performance. We find that an increase in teacher density has a positive effect on student achievement. The baseline estimate—obtained by using the grade‐point average as the outcome variable—implies that resource increases corresponding to the class‐size reduction in the STAR experiment (a reduction of seven students) improves performance by 2.6 percentile ranks (or 0.08 standard deviations). When we used test‐score data for men, potentially a more objective measure of student performance, the effect of resources appears to be twice as large.     

Incentive Matters!—The Benefit of Reminding Students About Their Academic Standing in Introductory Economics Courses

In this article, the authors illustrate how incentives can improve student performance in introductory economics courses. They implemented a policy experiment in a large introductory economics class in which they reminded students who scored below an announced cutoff score on the midterm exam about the risk of failing the course. The authors employed a regression-discontinuity method to estimate the causal impact of their policy on students’ performance on the final exam. The results suggest that the policy had a significant impact on students’ performance on the final exam. In fact, the gain in test scores was sufficient to boost a student's overall course grade by one letter grade.     

Public sector decentralization and school performance: International evidence

Using a panel of international student test scores 1980-2000 (PISA and TIMSS), panel fixed effects estimates suggest that government spending decentralization is conducive to student performance. The effect does not appear to be mediated through levels of educational spending.     

Industrial actions in schools: strikes and student achievement

Many jurisdictions ban teacher strikes on the assumption that they negatively affect student achievement, but there is surprisingly little research on this question. The majority of existing studies make cross‐section comparisons of the achievement of students who do or do not experience a strike. They conclude that strikes do not have an impact. I present new estimates of this impact of strikes using an empirical strategy that controls for fixed student characteristics at the school cohort level, and a sample of industrial actions by teachers in the province of Ontario. The results indicate that teacher strikes in grades 5 or 6 have a negative, statistically significant impact on test score growth between grade 3 and grade 6. The largest impact is on math scores: 29% of the standard deviation of test scores across school/grade cohorts.     

The effects of spending on test pass rates: evidence from Michigan

This study uses data on standardized test scores from 1992 through 1998 at Michigan schools to determine the effects of spending on student performance. The years in the data set straddle 1994, when Michigan dramatically changed the way that K-12 schools are funded, and moved toward equalization of spending across schools. Focusing on pass rates for a fourth-grade math tests (the most complete and consistent data available for Michigan), I find that increases in spending have nontrivial, statistically significant effects on math test pass rates, and the effects are largest for schools with initially poor performance.     

Schooling as a Lottery: Racial Differences in School Advancement in Urban South Africa

This paper analyzes the large racial differences in progress through secondary school in South Africa. Using recently collected longitudinal data we find that grade advancement is strongly associated with scores on a baseline literacy and numeracy test. In grades 8-11 the effect of these scores on grade progression is much stronger for white and coloured students than for African students, while there is no racial difference in the impact of the scores on passing the nationally standardized grade 12 matriculation exam. We develop a stochastic model of grade repetition that generates predictions consistent with these results. The model predicts that a larger stochastic component in the link between learning and measured performance will generate higher enrollment, higher failure rates, and a weaker link between ability and grade progression. The results suggest that grade progression in African schools is poorly linked to actual ability and learning. The results point to the importance of considering the stochastic component of grade repetition in analyzing school systems with high failure rates.     

THE IMPACT OF PUBLICLY PROVIDED EARLY CHILDHOOD EDUCATION PROGRAMS ON DISTRICT‐LEVEL TEST SCORES

While the existing literature largely finds that standardized test scores are positively associated with participation in pre‐kindergarten programs at the student level, there is little research on the policy effect of publicly providing these programs to entire school districts. We attempt to partially fill this void by examining the effect that publicly provided pre‐kindergarten and full‐day kindergarten programs have on fourth grade student achievement in math and reading at the district level. The models utilize panel data from districts in Wisconsin along with fixed effects estimations. We find that once time‐invariant unobserved heterogeneity of a district is accounted for, preschool programs have small but significant impacts on a cohort's future math scores, particularly in less‐educated communities. Additionally, there is no evidence that preschool or full‐day kindergarten has an impact on future reading scores at the district level. (JEL I20, I28)     

The impact of immigrant concentration in schools on grade retention in Spain: a difference-in-differences approach

Since the late 1990s, Spain has played host to a sizeable flow of immigrants who have been absorbed into the compulsory stage of the education system. In this article, our aim is to assess the impact of that exogenous increase in the number of immigrant students from 2003 to 2009 on grade retention using Spanish data from PISA 2003 and 2009. For this purpose, we use the difference-in-differences method as a dose treatment capable of detecting whether the immigrant concentration has had a significant effect on student performance. Our results evidenced that their arrival does not on average decrease school promotion rates with respect to 2003 and is even beneficial to native students. However, although the concentration of immigrant students at the same school does have a negative impact on immigrant students generating more grade retention, native students are unaffected until concentrations of immigrant students is above 15%.     

Students' Characteristics and Performance in Economic Statistics

The vast majority of studies in college economics have dealt with the introductory principles course. In one of the rare research projects dealing with other courses, Professor Cohn attempts to identify factors affecting student performance in economic statistics. He considers such variables as grade point average, graduate vs. undergraduate status, major field, sex and credits in economics, mathematics and statistics. There are a few recognized limitations to his model, but the reader will find some of his results to be surprising indeed.     

EXAM SCHEDULING AND STUDENT PERFORMANCE

This paper uses data from a single School of a UK university to estimate the impact of a switch from end‐of‐semester to end‐of‐year final exams on student performance. The identification strategy exploits the fact that while the timing of final exams changed, the timing of mid‐term exams remained the same. Estimates are based on a difference‐in‐differences methodology that compares final and mid‐term exam scores after the switch, with final and mid‐term exam scores before the switch. The empirical findings suggest that the shift of final exams to the end of the academic year had a negative effect on student achievement. Many changes in higher education are often done on the basis of financial, administrative or ideological considerations, underestimating the magnitude of their effect on student learning and student performance.     

Individual teacher incentives and student performance

This paper is the first to systematically document the relationship between individual teacher performance incentives and student achievement using the United States data. We combine data from the National Education Longitudinal Survey on schools, students, and their families with our own survey conducted in 2000 regarding the use of teacher incentives. This survey on teacher incentives has unique data on frequency and magnitude of merit raises and bonuses, teacher evaluation, and teacher termination. We find that test scores are higher in schools that offer individual financial incentives for good performance. Moreover, the estimated relationship between the presence of merit pay in teacher compensation and student test scores is strongest in schools that may have the least parental oversight. The association between teacher incentives and student performance could be due to better schools adopting teacher incentives or to teacher incentives eliciting more effort from teachers; it is impossible to rule out the former explanation with our cross sectional data.     

Do accountability and voucher threats improve low-performing schools?

We study the effects of the threat of vouchers and stigma in Florida on the performance of “low-performing” schools. Estimates of the change in raw test scores from the first year of the reform are consistent with the early results which claimed large improvements associated with the threat of vouchers. However, we also find that much of this estimated effect may be due to other factors. The relative gains in reading are largely explained by changing student characteristics and the gains in math—though larger—appear limited to the high-stakes grade. We also find some evidence that these improvements were due more to the stigma of receiving the low grade rather than the threat of vouchers.     

INCOME INEQUALITY AND POVERTY: SOME PROBLEMS

In an important recent book dealing with the measurement of income inequality with particular reference to poverty,¹ Prof. N. Kakwani derives several poverty indices, investigates the effect of negative income tax schemes with the help of those indices and gives a numerical illustration based on Malaysian data.
The aim of this note is to point out some logical flaws in his argument. Some of the ideas expressed in the part of his book we are concerned with have been disseminated for some time now² and referred to in subsequent literature;³ yet their shortcomings do not seem to have attracted anyone's attention. The introductory section gives a concise presentation of the relevant part of Kakwani's contribution. The next two sections deal with some problems with his approach.     

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.     

Thomas Robert Malthus and Samuel Hollander: A Review

In large part we follow the order of Hollander's text, ¹ and page references to Hollander are given by [H, p()]. References to Malthus are from The Works as edited by E. A. Wrigley and David Souden,² and are given by [M, (vol. no.), (abbreviated title of volume), (p())].     

International Differences in Student Achievement: An Economic Perspective

Abstract. International comparisons reveal large cross‐country differentials in average student performance. Although there is considerable public debate about these differences, their sources are hardly identified. Using school, teacher and student data from the Third International Mathematics and Science Study (TIMSS), the present paper attempts to explain what causes between‐country gaps in mathematics test score distributions. Following a three‐pronged strategy of micro‐level and cross‐country regressions as well as bilateral country comparisons, we show how these gaps are explained by differences in school, teacher and student characteristics, or financial resources devoted to the school system. Institutional characteristics, such as competition between schools and the composition of the faculty can also help to understand international differences in student achievement.     

The Overconfident Principles of Economics Student: An Examination of a Metacognitive Skill

Students in a large principles of macroeconomics class were asked to predict their performance on a regularly scheduled midterm examination. The author collected and analyzed data to examine the effect of various demographic characteristics, academic endowments, course preparation, and course performance variables on the accuracy of pretest expectations. A two-equation recursive model was estimated by the author to determine which factors influenced the accuracy of student expectations (predictive calibration). The results indicated that a pervasive degree of overconfidence existed within the sample. Although age and overall academic performance were found to temper overconfidence, students with credit in a previous economics course had a greater probability of reporting overconfident expectations. Overconfidence was found to be associated with lower degrees of predictive calibration. Misjudgments concerning the scope of the midterm were found to lower predictive calibration scores, ceteris paribus. These and other results indicate that unmet student performance expectations may be a root cause for the routinely observed student dissatisfaction within the traditional principles course.     

An IMPOSSIBILITY THEOREM IN PURE PUBLIC GOODS ECONOMIES WITH FEASIBILITY CONSTRAINTS: VOTING BY COMMITTEES IN NON-RECTANGULAR FEASIBLE SETS*

We consider the problem of choosing an alternative in a pure public goods economy with feasibility constraints when voters have "additively-separable and single-peaked"preferences.Our purpose is to identify tops-only voting procedures satisfying "nonmanipulability" and "voter sovereignty". First, we show that such procedures are generalizations of the schemes of "voting by committees"¹)introduced by Barbera, Sonnenschein and Zhou (1991) in the sense that these procedures are defined similarly for the generalized feasible set. Second, we establish that when no two goods can be simultaneously produced at their maximal feasible levels, the procedures are characterized by the existence of a very powerful voter.