class: center, middle, inverse, title-slide # Impact of Political Families ## Economic and Political Consequences --- # Outline
.pull-left[ **Economic consequences** - MPLADS - PMGSY - NREGA ] .pull-right[ **Political Consequnces** - Turnout - Margin ] --- class: center, middle, inverse ## Economic consequences --- ##MPLADS -- .pull-left[ ### Variables of interest - Days to sanction - Cost sanctioned - Type of the projects ] -- .pull-right[ ### Available datasets Replication data from - Bohlken, Anjali Thomas, 2018, “Targeting Ordinary Voters or Political Elites? Why Pork Is Distributed Along Partisan Lines in India.” - Velasco Rivera, Carlos, 2019, "Replication Data for: Loyalty or Incentives? How party alignment affects bureaucratic performance" ] --- .pull-left[ ### UP **MPLADS Carlos** <img src="impact/mplads_carlos.png" width="100%" height="50%" /> ---- <br> <br> **MPLADS Bohlekn** <img src="impact/mplads_bohlekn.png" width="120%" /> ] -- .pull-right[ ### India **MPLADS Carlos** <img src="impact/carlos_india.png" width="150%" height="120" /> - In UP, we observed that Family politicians get delayed sanctions, but when we looked at India, we see the exact opposite. - We ran models for Both UP and India keeping the `Number of weeks for approval` as the outcome variable. However, in both cases the family dummy variable turned out to be **insignificant** as the model became more rigorous ] --- # PMGSY .pull-left[ ### Variables of interest - Sanctioned cost - Number of roads built - Road length ] .pull-right[ ### Available datasets - Data source? ] --- ## UP .pull-left[ PMGSY 2012 summary <img src="impact/pmgsy_tops.png" width="100%" /> ] -- .pull-right[ Outcome variable: Number of roads built in a constituency <img src="impact/pmgsy_nroads.png" width="60%" /> ] --- ## PMGSY contd. .pull-left[ Outcome variable:: Length of the road built <img src="impact/pmgsy_road_length.png" width="100%" /> ] -- .pull-right[ Outcome variable: Cost sanctioned for the road <img src="impact/pmgsy_cost.png" width="100%" /> ] ---