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Open AccessJournal ArticleDOI

The Costs of Environmental Regulation in a Concentrated Industry

Stephen P. Ryan
- 01 May 2012 - 
- Vol. 80, Iss: 3, pp 1019-1061
TLDR
In this paper, the authors evaluate the welfare costs of the 1990 Amendments to the Clean Air Act on the US Portland cement industry, accounting for these eects through a dynamic model of oligopoly in the tradition of Ericson and Pakes.
Abstract
The typical cost analysis of an environmental regulation consists of an engineering estimate of the compliance costs. In industries where fixed costs are an important determinant of market structure this static analysis ignores the dynamic eects of the regulation on entry, investment, and market power. I evaluate the welfare costs of the 1990 Amendments to the Clean Air Act on the US Portland cement industry, accounting for these eects through a dynamic model of oligopoly in the tradition of Ericson and Pakes (1995). Using a recently developed two-step estimator, I recover the entire cost structure of the industry, including the distribution of sunk entry costs and adjustment costs of investment. I find that the Amendments have significantly increased the sunk cost of entry. I solve for the Markov perfect Nash equilibrium (MPNE) of the model and simulate the welfare eects of the Amendments. A static analysis misses the welfare penalty on consumers, and may even obtain the wrong sign of the welfare eects on incumbent firms.

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Estimating Dynamic Models of Imperfect Competition

TL;DR: In this article, the authors describe a two-step algorithm for estimating dynamic games under the assumption that behavior is consistent with Markov perfect equilibrium, which applies to a broad class of models, including industry competition models with both discrete and continuous controls.
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Asymptotic Least Squares Estimators for Dynamic Games

TL;DR: A unified framework for the estimation of dynamic games with finite actions based on an equilibrium equation system has been proposed in this paper, where the authors derive the equation system that characterizes the Markovian equilibria and characterize conditions for identification.
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The impacts of environmental regulations on competitiveness

TL;DR: In this article, the authors review the empirical literature on the impacts of environmental regulations on firms' competitiveness as measured by trade, industry location, employment, productivity, and in-state productivity.
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Conditional choice probability estimation of dynamic discrete choice models with unobserved heterogeneity

TL;DR: This article adapt the expectation-maximization algorithm to incorporate unobserved heterogeneity into conditional choice probability (CCP) estimators of dynamic discrete choice problems, which can be time-invariant or follow a Markov chain.
ReportDOI

Markov perfect industry dynamics with many firms

TL;DR: In this article, a simple algorithm for computing an oblivious equilibrium, in which each firm is assumed to make decisions based only on its own state and knowledge of the long run average industry state, but where firms ignore current information about competitors' states.
References
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Journal ArticleDOI

Estimating production functions using inputs to control for unobservables

TL;DR: Olley and Pakes as discussed by the authors show that when intermediate inputs (i.e., those inputs which are typically subtracted out in a value-added production function) can also solve this simultaneity problem, and discuss some potential benefits of expanding the choice set of proxies to include these inputs.
ReportDOI

The Dynamics of Productivity in the Telecommunications Equipment Industry

G. Steven Olley, +1 more
- 01 Nov 1996 - 
TL;DR: In this paper, an empirical focus is on estimating the parameters of a production function for the equipment industry, and then using those estimates to analyze the evolution of plant-level productivity.
Book

Numerical methods in economics

TL;DR: In this article, the authors present techniques from the numerical analysis and applied mathematics literatures and show how to use them in economic analyses, including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods.
Journal ArticleDOI

Markov-Perfect Industry Dynamics: A Framework for Empirical Work

TL;DR: In this paper, the authors provide a model of firm and industry dynamics that allows for entry, exit, and firm-specific uncertainty generating variability in the fortunes of firms, focusing on the impact of uncertainty arising from investment in research and exploration.
Posted Content

Large sample estimation and hypothesis testing

TL;DR: In this article, conditions for obtaining cosistency and asymptotic normality of a very general class of estimators (extremum estimators) are presented, and the results are also extended to two-step estimators.
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