arXiv subjects

Nestor Gandelman

Publications and source records attributed to Nestor Gandelman.

3 recordsLinked to original sources

arXiv2026

The Markup falsification Adaptative Set

In this paper we provide a constructive way for researchers to salvage the classic De Loecker and Warzynski (2012) markup recovery procedure when falsified. To do this, we consider continuous relaxations of the standard assumptions behind markup estimation. By computing the values of the markup as a function of the relaxations across the set of non-falsified models, we obtain an identified set for the markup which generalizes the standard baseline markup estimand to account for possible falsification without the need to impose additional assumptions. We illustrate our results using Chilean data from Raval (2023).

econ.EM↗

arXiv2024

Revealed comparative advantages in scientific and technological disciplines in Uruguay

Based on bibliometric information from Scopus for the period 1996-2019, this document characterizes the evolution of Uruguayan scientific production and establishes the areas in which the country has a revealed comparative advantage (RCA). Methodologically, it is proposed that there is a RCA in an area if this area has a greater share in national scientific production than the share of the area in world scientific production. The evidence presented considers two measurements of scientific production (published articles and citations) and three levels of aggregation in the areas (a minor one with 5 large areas, a more detailed one with 27 disciplines and another even more granular with more than 300 disaggregations). Within Health Sciences there is a RCA in Veterinary, Nursing and Medicine. Within Life Sciences there is a RCA in Agricultural and Biological Sciences, Immunology and Microbiology and Biochemistry, Genetics and Molecular Biology. In Physical Sciences there is only a RCA in Environmental Science and in Social Sciences only in Economics, Econometrics and Finance.

econ.GN↗

arXiv2024

Opportunities to upgrade the scientific disciplines space

Knowledge generated in a given scientific domain may spill over into other close scientific disciplines, thereby improving performance. Using bibliometric data from the SCImago database drawn from a sample of 174 countries, we implement a measure of proximity based on revealed comparative advantage (RCA). Our estimates show that proximity between disciplines positively and significantly affects the RCA growth rate. This impact is larger on disciplines that currently do not have RCA.

econ.GN↗