Some factors determined early in life are key determinants of the lifetime value of earnings, consumption and wealth. Furthermore, some of these variables are determined by parental background (ability) or passed on directly from parents (initial wealth). In this paper, I study an overlapping generations economy with a life cycle structure, with borrowing constraints and costly human capital acquisition, in which initial conditions are determined by parental background. The cost of human capital may prevent constrained agents to optimally acquire human capital and intergenerational transmission of wealth may alleviate this effect for wealthy household. With a preliminary calibration, I find the initial wealth is as important as human capital, and ability has a secondary role. This result is in stark contrast with the results previously found in the literature. This result suggests that accounting for borrowing constraints and intergenerational links is key to assess the quantitative impact of initial conditions.

Several pieces of evidence are interpreted as if workers search on-the-job to prevent a layoff, so that it is not unusual they accept wage cuts when moving to new jobs. We conceptualize this behavior as a self-insurance mechanism obtained by exerting effort. Since on-the-job search insures against idiosyncratic risk unlike assets, it helps understand limited participation in asset markets. We formalize these intuitions by constructing an economy with idiosyncratic dismissal shocks and costly on-the-job search. Workers may use on-the-job search not only as a mechanism to climb the wage ladder, but also to avoid future bad shocks and hence, on-the-job search acts as an insurance mechanism. We show that consumption evolves according to a standard Euler equation in which current effort impacts the income distribution tomorrow. We solve and calibrate the model to assess its quantitative empirical performance.

I develop a quantitative model to study the impact of taxation in wealth inequality and wealth mobility across generations. I consider progressive income taxes, corporate taxes and estate taxes. The model is used to estimate the fraction of inherited wealth in the economy and the impact of taxes in wealth inequality, wealth mobility and self-made wealth.

I generalize the 1-dimensional golden search method to solve optimization problems in economics. I show that the rate of convergence is the same as the standard golden search method. Therefore, the algorithm is capable to handle several decision variables and is robust to corner solutions. The algorithm is fast an accurate.


Instructor, NYU Shanghai

  • Labor Economics (Spring 2021)
  • Introduction to Macroeconomics (Fall 2020, Spring 2021)

Instructor, New York University

  • Introduction to Macroeconomics (Summer 2018, Summer 2019)

Teaching Assistant, New York University

  • Intermediate Macroeconomics (Fall 2014, Fall 2015, Fall 2016, Fall 2018, Spring 2019, Fall 2019)
  • Introduction to Macroeconomics (Spring 2015)
  • Macroeconomic Theory and Analysis (Spring 2016)
  • International Economics (Spring 2017)
  • Statistics (Fall 2017)
  • Introduction to Econometrics (Spring 2018)

Teaching Assistant, University of Chile

  • Introduction to Economics (Fall 2010, Fall 2011),
  • Macroeconomics (Spring 2010, Fall 2011, Spring 2011)
  • Finance II (Spring 2011)
  • Microeconomics (Fall 2012, Spring 2012)
  • Macroeconomics I, Master’s Program (Fall 2011, Fall 2012)
  • Macroeconomics II, Master’s Program (Spring 2011, Spring 2012)
  • Microeconomics I, Master’s Program (Fall 2012)