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FDPE Spring 2015
Marko Tervi\[ODoubleDot] (Aalto University)\
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Cell["\<\

Pekkarinen, Tuomas and Roope Uusitalo. \
\[OpenCurlyDoubleQuote]Productivity-wage gaps and aging\", IZA working paper \
(2012).\
\>", "Text",
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     AxesLabel -> {
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        Scaled[0.02]}, {
        Scaled[0.05], 
        Scaled[0.05]}}, Ticks -> {Automatic, Automatic}}],FormBox[
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                    GrayLevel[0]]], 
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                    Opacity[1.], 
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                    GrayLevel[0]]], 
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                 GridBoxDividers -> {
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Altonji, Smith, and Vidangos: \[OpenCurlyDoubleQuote]Modeling Earnings \
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What explains the age-profile of earnings?  What explains cross-sectional \
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observed and unobserved heterogeneity of individuals and jobs\
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Shock variance, persistence, measurement error, state-dependent variance, etc \
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Persistent wage effect of unemployment shocks decomposition (lost tenure, \
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Cell["Very negative tenure effect, esp. for low-educated", "Item",
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  3.630679627425333*^9}}],

Cell["Wage offer shocks persistent across jobs", "Item",
 CellChangeTimes->{{3.6306788884109325`*^9, 3.6306789079637327`*^9}, {
  3.6306789826883326`*^9, 3.630679002724733*^9}, {3.630679053513133*^9, 
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  3.630679660672333*^9}, {3.630685427994933*^9, 3.630685436750533*^9}}],

Cell["Wage growth decomposition (job shopping, tenure, experience)", "Item",
 CellChangeTimes->{{3.6306788884109325`*^9, 3.6306789079637327`*^9}, {
  3.6306789826883326`*^9, 3.630679002724733*^9}, {3.630679053513133*^9, 
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  3.630679747595333*^9}, {3.630679787953933*^9, 3.630679813217333*^9}}],

Cell["\<\
Cross-section variance decomposition of hours, wages, earnings \
\>", "Item",
 CellChangeTimes->{{3.6306788884109325`*^9, 3.6306789079637327`*^9}, {
   3.6306789826883326`*^9, 3.630679002724733*^9}, {3.630679053513133*^9, 
   3.630679067430333*^9}, {3.6306792226417327`*^9, 3.630679229180133*^9}, {
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   3.630679747595333*^9}, {3.630679787953933*^9, 3.6306798285111327`*^9}, {
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}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

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Cell[CellGroupData[{

Cell["Decomposition of experience profile", "Subsubsection",
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  3.6306846233875327`*^9, 3.630684625761733*^9}, {3.630684688872533*^9, 
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(Log) wage rate determination in Altonji, Smith, and Vidangos (Ecma 2013)\
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