Evidence-based Support for Adaptation Policies in Emerging Economies
Maximilian Banning, Anett Großmann, Katja Heinisch, Frank Hohmann, Christian Lutz, Christoph Schult
IWH Studies,
No. 2,
2023
Abstract
In recent years, the impacts of climate change become increasingly evident, both in magnitude and frequency. The design and implementation of adequate climate adaptation policies play an important role in the macroeconomic policy discourse to assess the impact of climate change on regional and sectoral economic growth. We propose different modelling approaches to quantify the socio-economic impacts of climate change and design specific adaptations in three emerging market economies (Kazakhstan, Georgia and Vietnam) which belong to the areas that are heavily exposed to climate change. A Dynamic General Equilibrium (DGE) model has been used for Vietnam and economy-energy-emission (E3) models for the other two countries. Our modelling results show how different climate hazards impact the economy up to the year 2050. Adaptation measures in particular in the agricultural sector have positive implications for the gross domestic product (GDP). However, some adaptation measures can even increase greenhouse gas emissions. In addition, the focus on GDP as the main indicator to evaluate policy measures can produce welfare-reducing policy decisions.
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VC Participation and Failure of Startups: Evidence from P2P Lending Platforms in China
Iftekhar Hasan, Xiaoyang Li
Finance Research Letters,
May
2021
Abstract
We investigate how VC participation affects the failure of startups. Using a unique dataset of the survival of peer-to-peer (P2P) platforms in China, we identify two types of failures, bankruptcy, and run off with investors' money. The Competing Risk Model results show that while VC participation reduces bankruptcy hazard, it has little impact on the runoff failures. The findings are robust to the use of matched subsamples that disentangle the influence of pre-investment screening by VC. Further analysis of exit routes reveals that conditional on failure, VC participation is associated with a higher chance of running for the exit.
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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
No. 5,
2015
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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Bank Bailouts and Moral Hazard: Evidence from Germany
Lammertjan Dam, Michael Koetter
Review of Financial Studies,
No. 8,
2012
Abstract
We use a structural econometric model to provide empirical evidence that safety nets in the banking industry lead to additional risk taking. To identify the moral hazard effect of bailout expectations on bank risk, we exploit the fact that regional political factors explain bank bailouts but not bank risk. The sample includes all observed capital preservation measures and distressed exits in the German banking industry during 1995–2006. A change of bailout expectations by two standard deviations increases the probability of official distress from 6.6% to 9.4%, which is economically significant.
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Incubation Time, Incubator Age, and Firm Survival after Graduation
Michael Schwartz
International Journal of Entrepreneurship and Innovation Management,
2012
Abstract
On the basis of a sample of 149 graduate firms from five German business incubators, this article contributes to incubator/incubation literature by investigating the effects of the age of the incubators and the firms´ incubation time in securing long-term survival of the firms after leaving the incubator facilities. The empirical findings from Cox proportional hazards regression and parametric accelerated failure time models reveal a statistically significant negative impact for both variables incubator age and incubation time on post-graduation firm survival. One important implication that follows from the empirical results for policy makers and managers of those initiatives is that, when incubator managers become increasingly involved in various regional development activities, this may reduce the effectiveness of incubator support. Also, our finding speaks in favour of a strict limitation of incubation times and reinforces arguments of the supporters of maximum tenancy.
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Human Capital and Fertility in Germany after 1990: Evidence from a Multi-Spell Model
Marco Sunder
IWH Discussion Papers,
No. 22,
2009
Abstract
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.
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