Financial Literacy and Self-employment
The Journal of Consumer Affairs,
In this paper, we study the relationship between financial literacy and self‐employment. We use established financial literacy questions to measure literacy levels. The analysis shows a highly significant and positive correlation between the index and self‐employment. We address the direction of causality by applying instrumental variable techniques based on information about maternal education. We also exploit information on financial support and family background to account for concerns about the exclusion restriction. The results provide support for a positive effect of financial literacy on the probability of being self‐employed. As financial literacy is acquirable, the findings suggest that entrepreneurial activities might be increased by enhancing financial literacy.
The Regional Effects of a Place-based Policy – Causal Evidence from Germany
Regional Science and Urban Economics,
The German government provides discretionary investment grants to structurally weak regions in order to reduce regional inequality. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of regional actors to receive investment grants to identify the causal effects of the policy. We find positive effects of the programme on district-level gross value-added and productivity growth, but no effects on employment and gross wage growth.
flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration
IWH Discussion Papers,
The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.
DPE Faculty A B C D E F G H I J...
Financial Literacy and Self-employment ...
Evidenzbasierte Politikberatung (IWH-CEP)
Zentrum für evidenzbasierte Politikberatung (IWH-CEP) ...
Study programme The course programme is a structured curriculum that provides...
Human Capital and Fertility in Germany after 1990: Evidence from a Multi-Spell Model
IWH Discussion Papers,
We analyze the timing of birth of the first three children based on German panel
data (GSOEP) within a hazard rate framework. A random effects estimator is
used to accommodate correlation across spells. We consider the role of human
capital – approximated by a Mincer-type regression – and its gender-specific
effects on postponement of parenthood and possible recuperation at higherorder
births. An advantage of the use of panel data in this context consists in
its prospective nature, so that determinants of fertility can be measured when
at risk rather than ex-post, thus helping to reduce the risk of reverse causality.
The analysis finds evidence for strong recuperation effects, i.e., women with
greater human capital endowments follow, on average, a different birth history
trajectory, but with negligible curtailment of completed fertility.