Correcting the fixed-effect estimator for endogenous switching

In this paper, we propose a two-step estimator for panel data models in which a binary covariate is endogenous. In the first stage, a random-effects probit model is estimated, having the endogenous variable as the left-hand side variable. Correction terms are then constructed and included in the main regression.

Desafios que enfrenta a ANP para regular a indústria de petróleo no Brasil depois da quebra do monopólio em 1997 ate o ano de 2005

This work is analyzing the challenges which the National Petrol Agency is facing to regulate the Petrol industry in Brazil after the Monopoly crash in the period between 1997 until 2005. Due to the necessities of adaptation of its political strategies to the rules which determine the international economic flows, Brazil was forced to use the Economic Regulation in order to control the market. The regulation established in Brazil is not indifferent to imperfect markets. Thus can be find a conflict of interests among companies, the government and consumers within this process of regulation. The established agency does not have enough autonomy for administrating a regulation. The State with its paternalism power does not allow the agency to fulfill its function for which it was established, even though its function was established by law. A regulating policy which is clearly defined will establish a strong and independent agency with a clear limitation of its competences, avoiding divergent interpretation which prioritizes investments and promotes economic development. The agency will have the challenge to regulate the companies that enter the sector, allowing the opening of the market for new initiatives of investments which contribute to the welfare of the country and breaking at the same time the monopoly that is lead by Petrobras since 1953. Combining a stable set of rules with agility in order to adapt to changes will provide the regulator with a great decision-making power. The flexibility in the regulation will improve the correcting of the rules that were set in the beginning, being more efficient, which are based on acquired experience and achieved results. The structure of the agency and the flexibility of the regulation should be orientated on the promotion of competition in order to achieve economic and social development.

Perfil da administração tributária em municipios com ate 30.000 habitantes: esforço fiscal e viabilidade municipal

Analisa a questão do esforço fiscal e da viabilidade municipal em termos de arrecadação potencial nos municípios brasileiros. Avalia a formação educacional do primeiro escalão do executivo municipal e da Secretaria de Finanças nos municípios com até 30.000 habitantes, e o quantitativo, por função, do quadro funcional destas últimas

Escola pública em Macapa: como, ate quando e porque

A Escola Pública de Macapá possui uma qualidade que justifica sua prevalência sobre a Particular. Além disso, ela tem sido o tipo de instituição predominante no atendimento da população em idade escolar. O presente estudo analisa a concepção dos educadores macapaenses sobre a importância da preservação da Escola Pública. Procurou-se verificar, também, o grau de consciência destes profissionais sobre o privilégio de usufruir do ensino público. Trata-se de uma pesquisa que visa chamar a atenção dos educadores para a importância de sua participação no resgate da credibilidade da Escola Pública em Macapá.

Revisiting the synthetic control estimator

The synthetic control (SC) method has been recently proposed as an alternative to estimate treatment effects in comparative case studies. The SC relies on the assumption that there is a weighted average of the control units that reconstruct the potential outcome of the treated unit in the absence of treatment. If these weights were known, then one could estimate the counterfactual for the treated unit using this weighted average. With these weights, the SC would provide an unbiased estimator for the treatment effect even if selection into treatment is correlated with the unobserved heterogeneity. In this paper, we revisit the SC method in a linear factor model where the SC weights are considered nuisance parameters that are estimated to construct the SC estimator. We show that, when the number of control units is fixed, the estimated SC weights will generally not converge to the weights that reconstruct the factor loadings of the treated unit, even when the number of pre-intervention periods goes to infinity. As a consequence, the SC estimator will be asymptotically biased if treatment assignment is correlated with the unobserved heterogeneity. The asymptotic bias only vanishes when the variance of the idiosyncratic error goes to zero. We suggest a slight modification in the SC method that guarantees that the SC estimator is asymptotically unbiased and has a lower asymptotic variance than the difference-in-differences (DID) estimator when the DID identification assumption is satisfied. If the DID assumption is not satisfied, then both estimators would be asymptotically biased, and it would not be possible to rank them in terms of their asymptotic bias.