Por que filmes diferentes têm preços iguais? Uma análise sobre preços uniformes no parque exibidor brasileiro
30/12/2018
Rodrigo Lima Armando.
Orientador: Fábio Miessi Sanches.
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30/12/2018
Rodrigo Lima Armando.
Orientador: Fábio Miessi Sanches.
30/12/2018
Priscilla Chor Goldenstein.
Orientador: Maria de Nazareth Maciel.
30/12/2018
Gustavo Cardoso Schanaider.
Orientador: Walter Novaes.
30/12/2018
Gabriel Facundes Monteiro.
Orientador: Claudio Ferraz.
30/12/2018
Gabriel de Almeida Wainstok.
Orientador: Ruy Monteiro Ribeiro.
30/12/2018
Frederico Hufnagel Lee.
Orientador: Marcelo Nuno Carneiro de Sousa.
30/12/2018
Cecília Dutra Carolino.
Orientador: Paulo Mansur Levy.
20/12/2018
First of all, I would like to thank my wife, Luisa, for all the love and support received during these years dedicated to the Master’s degree. I would also like to thank my family, Lucia, Flavio and Walter for their support and for being a lifetime example of dedication and determination.
In all respects, I benefitted decisively from all the advice of my mentor Diogo Abry Guillén during classes and while working on my thesis, and I would like to thank him for the privilege of having his time and energy dedicated to this work.
I will never cease to appreciate the work done by the professors of the Macroeconomics and Finance master study program at PUC-Rio. Their thorough, inspiring work enabled me to gain access to a body of knowledge I would not be able to acquire otherwise. In particular, I would like to thank Carlos Viana de Carvalho and Waldyr Dutra Areosa for their comments about this work.
Diogo Luiz Duarte.
Orientador: Diogo Abry Guillén.
Banca: Carlos Viana de Carvalho. Waldyr Areosa.
10/12/2018
This thesis consists of three papers examining the impact of history on long-run development processes through the channels of institution and culture. The first paper studies land revenue institutions in colonial India and identifies a multi-channel mechanism through which variations in that institution have long-run consequences for agricultural investment and productivity. The second paper examines the relationship between various dimensions of cultural diversity and growth in Indian districts using an instrumental variables strategy. These results find the strongest impacts for religious diversity. The significant impact of religious diversity in increasing productivity and reducing poverty may be due to increased emphasis on secular institutions in the face of religious competition. The last paper studies the formation of cultural values as a channel through which development outcomes may be impacted by initial conditions. We find that inherent geographical traits render certain regions more likely to be agricultural, male-dominated societies with a lower propensity to worship female deities, which in turn leads to worse female literacy outcomes.
Aparajita Das.
Orientador: Juliano Assunção.
Banca: Arthur Amorim Bragança. Claudio Ferraz. Rudi Rocha. Lakshmi Iyer.
10/12/2018
Alan Dias de Vasconcelos.
Orientador: Eliane Gottlieb.
04/12/2018
Amanda Machado de Andrade.
Orientador: Claudio Ferraz.
O Globo e O Estado de S. Paulo, 30/11/2018
Rogério Werneck.
Quantitative Economics , v. 9, TD n. 2,
p. 1153-1194, 2018
Most empirical and theoretical econometric studies of dynamic discrete choice models assume the discount factor to be known. We show the knowledge of the discount factor is not necessary to identify parts, or even all, of the payoff function. We show the discount factor can be generically identified jointly with the payoff parameters. On the other hand, it is known the payoff function cannot be nonparametrically identified without any a priori restrictions. Our identification of the discount factor is robust to any normalization choice on the payoff parameters. In IO applications, normalizations are usually made on switching costs, such as entry costs and scrap values. We also show that switching costs can be nonparametrically identified, in closed‐form, independently of the discount factor and other parts of the payoff function. Our identification strategies are constructive. They lead to easy to compute estimands that are global solutions. We illustrate with a Monte Carlo study and the dataset used in Ryan (2012).
Tatiana Komarova, Sorawoot Srisuma, Fábio Miessi Sanches, Daniel Silva Junior.
23/11/2018
This thesis discusses the role of agents’ expectations regarding the conduction of monetary and fiscal policies in determining policy outcomes, economic dynamics and the volatilities of macroeconomic variables. The first Chapter shows that accounting for agents’ expectations of a possible regime change has critical effects in the responses of macroeconomic variables to shocks, even if this switch does not materialize itself along the path observed after the shock. Recognizing the possibility of regime switches also have important consequences for the volatilities of endogenous variables, which are higher than those obtained in the linear model and very dependent on the policy parameters chosen by monetary and fiscal authorities in each regime. In the second Chapter, I discuss the role of expectations in determining the depth of a crisis when the economy hits the zero lower bound on nominal interest rates. I show that when analysing the impact of a fiscal stimulus during a zero interest rate episode, there is more than just short-run multipliers. To have larger positive effects on output and inflation, monetary and fiscal policies should last longer than the duration of the shock and be coordinated in their actions. The third Chapter presents a thoughtful evaluation of a fiscal stimulus in terms of the implied welfare losses making clear that it should account not only for the effects of policies on short-run output and inflation, but also for the present discounted value of output and inflation in future periods as well. It also analyses how to obtain the optimal level for the nominal interest rate once the economy gets out of the crisis state, if the monetary authority wants to use the expectations channel to undermine the depth of the crisis.
Cyntia Freitas Azevedo.
Orientador: Tiago Couto Berriel.
Banca: Carlos Viana de Carvalho. Eduardo Henrique de Mello Motta Loyo. Eduardo Zilberman. Andre Minella.
Journal of Business & Economic Statistics, v. 36, TD n. 4,
p. 658-671, 2018
Hong and Shum (2006) show equilibrium restrictions in a search model can be used to identify quantiles of the search cost distribution from observed prices alone. These quantiles can be difficult to estimate in practice. This paper uses a minimum distance approach to estimate them that is easy to compute. A version of our estimator is a solution to a nonlinear least squares problem that can be straightforwardly programmed on softwares such as STATA. We show our estimator is consistent and has an asymptotic normal distribution. Its distribution can be consistently estimated by a bootstrap. Our estimator can be used to estimate the cost distribution nonparametrically on a larger support when prices from heterogeneous markets are available. We propose a two-step sieve estimator for that case. The first step estimates quantiles from each market. They are used in the second step as generated variables to perform nonparametric sieve estimation. We derive the uniform rate of convergence of the sieve estimator that can be used to quantify the errors incurred from interpolating data across markets. To illustrate we use online bookmaking odds for English football leagues' matches (as prices) and find evidence that suggests search costs for consumers have fallen following a change in the British law that allows gambling operators to advertise more widely.
Fábio Miessi Sanches, Daniel Silva Junior, Sorawoot Srisuma.
R Journal, v. 10,
p. 98-108, 2018
In this paper we introduce the ArCo package for R which consists of a set of functions to implement the the Artificial Counterfactual (ArCo) methodology to estimate causal effects of an intervention (treatment) on aggregated data and when a control group is not necessarily available. The ArCo method is a two-step procedure, where in the first stage a counterfactual is estimated from a large panel of time series from a pool of untreated peers. In the second-stage, the average treatment effect over the post-intervention sample is computed. Standard inferential procedures are available. The package is illustrated with both simulated and real datasets.
Gabriel F Vasconcelos, Yuri R Fonseca, Marcelo Medeiros, Ricardo Masini.
O Globo e O Estado de S. Paulo, 02/11/2018
Rogério Werneck.