Meeting the Standards: An Analysis of Eight Grade Educational Assesment Test Scores in Maine

This paper examines the impact of socioeconomic factors on eighth grade achievement test scores in the face of federal and state initiatives for educational reform in Maine. We use student-level data over a five year period to provide a framework for understanding the policy implications of these initiatives. We model performance on standardized tests using a seemingly unrelated regressions approach and then determine the likelihood of meeting the standards defined by the adequate yearly progress requirements of the No Child Left Behind Act and Maine Learning Results initiatives. Our results indicate that the key factors influencing a student’s test scores include the education of a student’s parents, special services received for learning disabilities, and alternative measures of academic achievement.

Comparing two multivariate unit root tests

In this essay, a method for comparing the asymptotic power of the multivariate unit root tests proposed in Phillips & Durlauf (1986) and Flˆores, Preumont & Szafarz (1996) is proposed. In order to determine the asymptotic power of the tests the asymptotic distributions under the null hypothesis and under the set of alternative hypotheses described in Phillips (1988) are determined. In addition, a test which combines characteristics of both tests is proposed and its distributions under the null hypothesis and the same set of alternative hypotheses are determined. This allows us to determine what causes any difference in the asymptotic power of the two tests against the set of alternative hypotheses considered

Tests of conditional asset pricing models in the brazilian stock market

In this paper, we test a version of the conditional CAPM with respect to a local market portfolio, proxied by the Brazilian stock index during the period 1976-1992. We also test a conditional APT modeI by using the difference between the 3-day rate (Cdb) and the overnight rate as a second factor in addition to the market portfolio in order to capture the large inflation risk present during this period. The conditional CAPM and APT models are estimated by the Generalized Method of Moments (GMM) and tested on a set of size portfolios created from individual securities exchanged on the Brazilian markets. The inclusion of this second factor proves to be important for the appropriate pricing of the portfolios.

Nonparametric specification tests for conditional duration models

This paper deals with the testing of autoregressive conditional duration (ACD) models by gauging the distance between the parametric density and hazard rate functions implied by the duration process and their non-parametric estimates. We derive the asymptotic justification using the functional delta method for fixed and gamma kernels, and then investigate the finite-sample properties through Monte Carlo simulations. Although our tests display some size distortion, bootstrapping suffices to correct the size without compromising their excellent power. We show the practical usefulness of such testing procedures for the estimation of intraday volatility patterns.

Purchasing power parity and the unit root tests: a robust analysis

Empirical evidence suggests that real exchange rate is characterized by the presence of near-unity and additive outliers. Recent studeis have found evidence on favor PPP reversion by using the quasi-differencing (Elliott et al., 1996) unit root tests (ERS), which is more efficient against local alternatives but is still based on least squares estimation. Unit root tests basead on least saquares method usually tend to bias inference towards stationarity when additive out liers are present. In this paper, we incorporate quasi-differencing into M-estimation to construct a unit root test that is robust not only against near-unity root but also against nonGaussian behavior provoked by assitive outliers. We re-visit the PPP hypothesis and found less evidemce in favor PPP reversion when non-Gaussian behavior in real exchange rates is taken into account.

Robustness of stationary tests under long-memory alternatives

This paper investigates the presence of long memory in financiaI time series using four test statistics: V/S, KPSS, KS and modified R/S. There has been a large amount of study on the long memory behavior in economic and financiaI time series. However, there is still no consensus. We argue in this paper that spurious short-term memory may be found due to the incorrect use of data-dependent bandwidth to estimating the longrun variance. We propose a partially adaptive lag truncation procedure that is robust against the presence of long memory under the alternative hypothesis and revisit several economic and financiaI time series using the proposed bandwidth choice. Our results indicate the existence of spurious short memory in real exchange rates when Andrews' formula is employed, but long memory is detected when the proposed lag truncation procedure is used. Using stock market data, we also found short memory in returns and long memory in volatility.

Human capital and innovation: evidence from panel cointegration tests

Panel cointegration techniques applied to pooled data for 27 economies for the period 1960-2000 indicate that: i) government spending in education and innovation indicators are cointegrated; ii) education hierarchy is relevant when explaining innovation; and iii) the relation between education and innovation can be obtained after an accommodation of a level structural break.

Canal de crédito: um estudo sobre a influência das questões regulatórias no mercado de crédito brasileiro

A literatura econômica discute há algum tempo as influências da política monetária no nível de produto e emprego de longo-prazo. Paralelo a este debate seminal, surgiram ao longo dos últimos anos discussões sobre os canais de transmissão de política monetária. Dentre o conjunto de canais sugeridos pela literatura, o canal de crédito é um dos que mais tem motivado estudiosos a aprofundarem o conhecimento sobre a sua forma de interação com a economia monetária e real. Por esta razão, este trabalho busca evidências da presença de um canal de crédito no Brasil que funciona através de alterações endógenas no mercado de crédito, mais propriamente através da alteração das condições do balanço dos agentes e de mudanças nos seus custos de agência, que motivam uma queda dos saldos de crédito concedidos a estes. Mas mais do que isto, através dos testes empíricos desenvolvidos, procura-se evidenciar que a presença de um canal de crédito no Brasil é reforçado por exigências regulatórias impostas aos bancos, que os tornam mais conservadores na oferta de crédito marginal ao conjunto de tomadores novos e com operações de crédito já contratadas. Em especial, o teste toma como variável a série de saldos de crédito concedidos ao longo do tempo, baseada em resoluções do Banco Central que normatizam sobre o provisionamento de crédito, em que se supõe que um choque monetário seja capaz de piorar a qualidade do balanço dos agentes, forçando as instituições financeiras a reclassificarem-os para piores classes de risco. Esta reclassificação, por sua vez, deve aumentar a base de crédito sobre a qual residem os maiores percentuais de provisionamento, o que torna os banqueiros mais conservadores e menos desejosos em ofertar crédito para o conjunto de tomadores de maior risco e para os tomadores como um todo.

Nonparametric entropy-based tests of independence between stochastic processes

This paper develops nonparametric tests of independence between two stationary stochastic processes. The testing strategy boils down to gauging the closeness between the joint and the product of the marginal stationary densities. For that purpose, I take advantage of a generalized entropic measure so as to build a class of nonparametric tests of independence. Asymptotic normality and local power are derived using the functional delta method for kernels, whereas finite sample properties are investigated through Monte Carlo simulations.

Wald tests for IV regression with weak instruments

This dissertation deals with the problem of making inference when there is weak identification in models of instrumental variables regression. More specifically we are interested in one-sided hypothesis testing for the coefficient of the endogenous variable when the instruments are weak. The focus is on the conditional tests based on likelihood ratio, score and Wald statistics. Theoretical and numerical work shows that the conditional t-test based on the two-stage least square (2SLS) estimator performs well even when instruments are weakly correlated with the endogenous variable. The conditional approach correct uniformly its size and when the population F-statistic is as small as two, its power is near the power envelopes for similar and non-similar tests. This finding is surprising considering the bad performance of the two-sided conditional t-tests found in Andrews, Moreira and Stock (2007). Given this counter intuitive result, we propose novel two-sided t-tests which are approximately unbiased and can perform as well as the conditional likelihood ratio (CLR) test of Moreira (2003).

Contributions to the Theory of Optimal Tests

This paper considers tests which maximize the weighted average power (WAP). The focus is on determining WAP tests subject to an uncountable number of equalities and/or inequalities. The unifying theory allows us to obtain tests with correct size, similar tests, and unbiased tests, among others. A WAP test may be randomized and its characterization is not always possible. We show how to approximate the power of the optimal test by sequences of nonrandomized tests. Two alternative approximations are considered. The rst approach considers a sequence of similar tests for an increasing number of boundary conditions. This discretization allows us to implement the WAP tests in practice. The second method nds a sequence of tests which approximate the WAP test uniformly. This approximation allows us to show that WAP similar tests are admissible. The theoretical framework is readily applicable to several econometric models, including the important class of the curved-exponential family. In this paper, we consider the instrumental variable model with heteroskedastic and autocorrelated errors (HAC-IV) and the nearly integrated regressor model. In both models, we nd WAP similar and (locally) unbiased tests which dominate other available tests.

Drug battles and school achievement: evidence from Rio de Janeiro's favelas

This paper examines the effects of armed conflicts between drug gangs in Rio de Janeiro's favelas on student achievement. We explore variation in violence that occurs across time and space when gangs battle over territories. Within-school estimates indicate that students from schools exposed to violence score less in math exams. The effect of violence increases with conflict intensity, duration, and proximity to exam dates; and decreases with the distance between the school and the conflict location. Finally, we find that school supply is an important mechanism driving the achievement results; armed conflicts are significantly associated with higher teacher absenteeism, principal turnover, and temporary school closings.

Non- parametric specification tests for conditional duration models

This paper deals with the estimation and testing of conditional duration models by looking at the density and baseline hazard rate functions. More precisely, we foeus on the distance between the parametric density (or hazard rate) function implied by the duration process and its non-parametric estimate. Asymptotic justification is derived using the functional delta method for fixed and gamma kernels, whereas finite sample properties are investigated through Monte Carlo simulations. Finally, we show the practical usefulness of such testing procedures by carrying out an empirical assessment of whether autoregressive conditional duration models are appropriate to oIs for modelling price durations of stocks traded at the New York Stock Exchange.

Multivariate unit root tests

A new multivariate test for the detection ofunit roots is proposed. Use is made ofthe possible correlations between the disturbances of difIerent series, and constrained and unconstrained SURE estimators are employed. The corresponding asymptotic distributions, for the case oftwo series, are obtained and a table with criticai vaIues is generated. Some simulations indivate that the procedure performs better than the existing alternatives.