Volumen 44 Número 88 (2021)

Permanent URI for this collectionhttp://54.81.141.168/handle/123456789/186802

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SPECIAL: Preferential Trade Agreements, Trade and Multilateral Liberalization
  • Presentation Garcia, Luis; Tovar, Patricia
  • Trade Creation and Diversion Effects under the Free Trade Agreement between Peru and the United States: A Gravitational Analysis Arrieta Padilla, Gabriel Lewis; 1-22
  • Do preferential trade agreements favor the liberalization of trade with non-members? The case of the Andean Community Castillo Thorne, Lakshmi Isabel; 23-44
  • Import competition in the manufacturing sector in Peru: Its impact on informality and wages Morales, Fernando; Pierola, Martha Denisse; Sanchez-Navarro, Dennis; 45-75

    • Articles
  • Conditional vs Unconditional Quantile Regression Models: A Guide to Practitioners Alejo, Javier; Favata, Federico; Montes-Rojas, Gabriel; Trombetta, Martín; 76-93

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      Conditional vs Unconditional Quantile Regression Models: A Guide to Practitioners
      (Pontificia Universidad Católica del Perú, 2021-12-31) Alejo, Javier; Favata, Federico; Montes-Rojas, Gabriel; Trombetta, Martín
      This paper analyzes two econometric tools that are used to evaluate distributional effects, conditional quantile regression (CQR) and unconditional quantile regression (UQR). Our main objective is to shed light on the similarities and differences between these methodologies. An interesting theoretical derivation to connect CQR and UQR is that, for the effect of a continuous covariate, the UQR is a weighted average of the CQR. This imposes clear bounds on the values that UQR coefficients can take and provides a way to detect misspecification. The key here is a match between CQR whose predicted values are the closest to the unconditional quantile. For a binary covariate, however, we derive a new analytical relationship. We illustrate these models using age returns and gender gap in Argentina for 2019 and 2020.