• [2001]

  Nezih Guner, Yuliya Kulikova, Arnau Valladares-Esteban

  Does the Added Worker Effect Matter?

  Abstract

  The added worker effect (AWE) measures the entry of individuals into the labor force due to their partners' job loss. We propose a new method to calculate the AWE, which allows us to estimate its effect on any labor market outcome. We show that the AWE reduces the fraction of households with two non-employed members. The AWE also accounts for why women's employment is less cyclical and more symmetric compared to men. In recessions, while some women lose their employment, others enter the labor market and nd jobs. This keeps the female employment relatively stable.




• [2002]

  Dante Amengual, Xinyue Bei, Enrique Sentana

  Hypothesis Tests with a Repeatedly Singular Information Matrix

  Abstract

  We study score-type tests in likelihood contexts in which the nullity of the information matrix under the null is larger than one, thereby generalizing earlier results in the literature. Examples include multivariate skew normal distributions, Hermite expansions of Gaussian copulas, purely non-linear predictive regressions, multiplicative seasonal time series models and multivariate regression models with selectivity. Our proposal, which involves higher order derivatives, is asymptotically equivalent to the likelihood ratio but only requires estimation under the null. We conduct extensive Monte Carlo exercises that study the finite sample size and power properties of our proposal and compare it to alternative approaches.

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