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Skewed Idiosyncratic Income Risk over the Business Cycle: Sources and Insurance. (2020). Madera, Rocio ; Guvenen, Fatih ; Domeij, David ; Busch, Christopher.
In: Working Papers.
RePEc:bge:wpaper:1180.

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  1. Indirect inference estimation of stochastic production frontier models with skew-normal noise. (2023). Kumbhakar, Subal C ; Lai, Hung-Pin.
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  2. Earnings dynamics of immigrants and natives in Sweden 1985–2016. (2021). Laun, Lisa ; Friedrich, Benjamin ; Meghir, Costas.
    In: Working Paper Series.
    RePEc:hhs:ifauwp:2021_015.

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  3. Five Facts about the Distributional Income Effects of Monetary Policy. (2021). Amberg, Niklas ; Picco, Anna Rogantini ; Klein, Mathias ; Jansson, Thomas.
    In: CESifo Working Paper Series.
    RePEc:ces:ceswps:_9062.

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  4. Trade-induced local labor market shocks and asymmetrical labor income risk. (2020). Martinez, Tomas Rodriguez ; Mello, Ursula.
    In: Economics Working Papers.
    RePEc:upf:upfgen:1764.

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  5. The Long-Term Distributional and Welfare Effects of Covid-19 School Closures. (2020). Ludwig, Alexander ; Krueger, Dirk ; Fuchs-Schuendeln, Nicola ; Popova, Irina ; Fuchs-Schundeln, Nicola.
    In: NBER Working Papers.
    RePEc:nbr:nberwo:27773.

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  6. Trade-induced Local Labor Market Shocks and Asymmetrical Labor Income Risk. (2020). Martinez, Tomas Rodriguez ; Mello, Ursula.
    In: Working Papers.
    RePEc:bge:wpaper:1230.

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  1. Age. The age variable recorded in the PSID survey does not necessarily increase by 1 from one year to the next. This may be perfectly correct, since the survey date changes every year. For example, an individual can report being 20 years old in 1990, 20 in 1991, and 22 in 1992. We thus create a consistent age variable by taking the age reported in the first year that the individual appears in the survey and add 1 to this variable in each subsequent year. Education Level. In the PSID, the education variable is not reported every year and it is sometimes inconsistent. To deal with this problem, we use the highest education level that an individual ever reports as the education variable for each year. Since our sample contains only individuals that are at least 25 years old, this procedure does not affect our education variable in a major way.
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  2. Angelopoulos, K., Lazarakis, S. and Malley, J. (2019). Cyclical income risk in Great Britain. Working paper no. 7594, CESifo.

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  37. Taxes. The PSID reports own estimates for total taxes until 1991. For the remaining years, we estimate taxes using TAXSIM. Public Transfers. Transfers are considered at the family unit level whenever possible. We group social and welfare programs into three broad categories. Due to changes in the PSID design, the specific definition of each program is different every year. We give an overview below and leave the specific replication details for the online Data
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  38. vom Berge, P., Burghardt, A. and Trenkle, S. (2013). Sample-of-IntegratedLabour -Market-Biographies Regional-File 1975-2010 (SIAB-R 7510). Tech. rep., Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB). Appendices A Data Appendix This appendix briefly describes the variables used for each of the datasets and lists the numbers of observations after the sample selection steps. A.1 PSID Variables Demographic and Socioeconomic Head and Relationship to Head. We identify current heads and spouses as those individuals within the family unit with Sequence Number equal to 1 and 2, respectively. In the PSID, the man is labelled as the household head and the woman as his spouse. Only when the household is headed by a woman alone is she considered the head. If the family is a split-off family from a sampled family, then a new head is selected.

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