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Olivier Cadot

Researcher at University of Lausanne

Publications -  216
Citations -  5241

Olivier Cadot is an academic researcher from University of Lausanne. The author has contributed to research in topics: Rules of origin & Commercial policy. The author has an hindex of 33, co-authored 211 publications receiving 4810 citations. Previous affiliations of Olivier Cadot include Center for Economic and Policy Research & World Bank.

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Export Diversification: What’s behind the Hump?

TL;DR: In this paper, the authors explore the evolution of export diversification patterns along the economic development path using a large database with 156 countries over 19 years at the HS6 level of disaggregation (4'991 product lines).
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Export Diversification: What's behind the Hump?

TL;DR: In this article, the authors argue that the Heckscher-Ohlin model implies that export patterns are largely determined by endowments, so, if anything, we should worry about factor accumulation, not diversification.
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Corruption as a gamble

TL;DR: In this paper, a simple game is set up whose players are a government official granting a permit, conditional on a test, and a candidate requesting the permit, and the game is solved under different assumptions as to the information sets of the players: perfect information, asymmetric information and imperfect information on both sides.
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Contribution to Productivity or Pork Barrel? : The Two Faces of Infrastructure Investment

TL;DR: In this paper, a simultaneous-equation approach to the estimation of the contribution of transport infrastructure accumulation to regional growth is proposed, and empirical findings on a panel of France's regions over 1985-92 suggest that electoral concerns and influence activities were significant determinants of the cross-regional allocation of transportation infrastructure investments.

A practical guide to trade policy analysis

TL;DR: In this article, the authors introduce the main techniques of trade and trade policy data analysis and present the databases needed to construct these indices as well as the challenges faced in collecting and processing these data, such as measurement errors or aggregation bias.