a b s t r a c tWages, labor market participation, hours worked, and savings differ by gender and marital status. In addition, women and married people make up a large fraction of the population and of labor market participants, total hours worked, and total earnings. For the most part, macroeconomists have been ignoring women and marriage in setting up structural models and in calibrating them using data on males only. In this paper, we ask whether ignoring gender and marriage in both models and data implies that the resulting calibration matches well the key economic aggregates. We find that it does not and we ask whether there are other calibration strategies or relatively simple models of marriage that can improve the fit of the model to aggregate data.Ó 2017 Published by Elsevier B.V.
IntroductionWages, labor market participation, hours worked, and savings differ by gender and marital status. In addition, women and married people 1 make up a large fraction of the population and of labor market participants, total hours worked, and total earnings. For the most part, macroeconomists have been ignoring women and marriage in setting up life-cycle structural models and in calibrating them using data on males only. In this paper, we ask whether ignoring gender and marriage in both models and data implies that the resulting calibration matches well the key economic aggregates of labor participation, hours worked, labor income, and net worth. We find that it does not and we ask whether there are other calibration strategies or relatively simple models of marriage that can improve the model fit along these important dimensions.To investigate the aggregate importance of gender and marriage and to determine what might be the simplest model that best captures the most important aggregates, we construct and calibrate four different economies. Economy 1 is a ''No marriage, only men", economy that adopts a standard one-gender, no marriage, lifecycle framework, and only uses data on men for calibration purposes, as usually done in quantitative macro models. We find that this model economy (and calibration) misses the observed economy's aggregate outcomes, including labor supply, earnings, and hours by a large amount over all of the working period. More specifically, this economy drastically overestimates participation by about 10-20 percentage points, overestimates average hours by over one-third of actual aggregate hours, and also overestimates average earnings by over one-third over the entire working period. It also underestimates retirement savings.Economy 2 is a ''No marriage, men and women together" economy that uses the same model as Economy 1, but is calibrated using data on both men and women together, as individual-level data, thus ignoring any gender differences and whether individuals are in couples or not. If this kind of ''aggregation" were to match the aggregates well, this would be a possible way to take gender and marriage into account without writing a more complicated model. The biggest success of this ca...