Incentive effects of unemployment insurance savings accounts: Evidence from Chile

The paper, the first one to empirically examine whether individual accounts internalize the cost of unemployment, estimates the determinants of job finding rates of unemployment benefit recipients under the Chilean program. This is a unique, innovative program that combines social insurance, provided via solidarity funding, with self-insurance in the form of unemployment insurance savings accounts (UISAs). The paper shows that beneficiaries who use solidarity funding are less likely to exit unemployment in early months than those relying on UISAs only. Moreover, job finding rates are found to be positively correlated with pre-separation UISA balances among those that use solidarity funding, but are found to be uncorrelated with balances for those relying on UISAs only. While the findings are consistent with the effects expected under the internalization of unemployment costs via UISAs, they do not pinpoint unambiguously the causal link, as alternative mechanisms may be responsible for the observed correlations, particularly selection into the use of UISAs.     

Testing, hold up and the dynamics of preferences

This paper presents an overlapping generations model with cultural transmission of preferences in an economy in which players face a hold up problem. One of the players, the firm, can use a testing technology which allows him to imperfectly monitor his partner's behaviour. This technology is completely useless with homogeneous preferences. We obtain that in the stable steady state of the economy there is a mixed distribution of preferences where both selfish and other-regarding preferences are present in the population. Moreover, with a good testing technology, the steady state is characterized by the first-best result in the investment decisions. JEL Classification: C78, D23, D63 The authors acknowledge financial support from the Spanish Ministry of Science and Technology project SEC2001-2763. This paper has also benefited from comments of participants in the XXVIII Spanish Symposium of Economic Analysis in Seville (Spain), in the International Workshop on Social and Behavioral Economics in Valencia (Spain), in the 2nd World Congress of the Game Theory Society in Marseille and in the VI Spanish Meeting on Game Theory and Practice in Elche (Spain).     

Further evidence on performance evaluation: Portfolio holdings,recommendations, and turnover costs

This paper analyzes the performance of mutual funds in Spain between January 1980 and June 1990. The robustness of results to alternative measurements and benchmarks are analyzed. The results indicate that, with monthly returns alone, it is not possible to distinguish between selectivity and timing. We are only able to measure the magnitude of total performance. To be more precise about the reasons behind performance, portfolio holdings are necessary. This work employs a new data set based on monthly portfolio holdings of a representative sample of funds. A comparison of results using monthly returns and monthly portfolio holdings is made. In particular, thanks to the availability of portfolio holdings, we are able to separate selectivity and timing. Finally, the impact of turnover costs is considered.     

Smiles, Bid‐ask Spreads and Option Pricing

Given the evidence provided by Longstaff (1995), and Peña, Rubio and Serna (1999) a serious candidate to explain the pronounced pattern of volatility estimates across exercise prices might be related to liquidity costs. Using all calls and puts transacted between 16:00 and 16:45 on the Spanish IBEX‐35 index futures from January 1994 to October 1998 we extend previous papers to study the influence of liquidity costs, as proxied by the relative bid‐ask spread, on the pricing of options. Surprisingly, alternative parametric option pricing models incorporating the bid‐ask spread seem to perform poorly relative to Black‐Scholes.     

The political economy of multidimensional child poverty measurement: a comparative analysis of Mexico and Uganda

ABSTRACT

As part of the 2030 Agenda, much effort has been exerted in comparing multidimensional child poverty measures both technically and conceptually. Yet, few countries have adopted and used any of these measures in policymaking. This paper explores the reasons for this absence from a political economy perspective. It develops an innovative political economy framework for poverty measurement and a hypothesis whereby a country will only produce and use reliable and sustainable multidimensional child poverty (MDCP) measures if and only if three conditions coalesce: consensus, capacity and polity. We explore this framework with two relevant case studies, Mexico and Uganda. Both countries satisfy the capacity condition required to measure MDCP but only Mexico satisfies the other two conditions. Our proposed political economy framework is normatively relevant because it identifies the conditions that need to change across multiple contexts before the effective adoption and use of an MDCP measure becomes more likely.     

Survival is for the fittest: Export survival patterns in Georgia

This paper analyzes the determinants of export flow survival in Georgia. The paper uses a unique Georgian firm-level dataset, in which firm characteristics and output dynamics are matched with their customs export transactions, for the period 2006–2012. We adopt a discrete survival model to explore the role of firm-level characteristics, diversification strategies and network effects on the survival rates of export flows. Low survival rates at the product level limit the ability of Georgian firms to consolidate new products in international markets. The analysis finds that it is production efficiency, rather than size, that boosts export survival chances, that firms’ diversification strategies matter for the prospects of survival, and that there is strong evidence of network effects in export survival. We also find that ratified foreign trade agreements contribute to increase the survival of export flows by reducing policy-induced trading costs and increasing information about destination markets.     

Preventing rather than punishing: An early warning model of malfeasance in public procurement

Is it possible to predict malfeasance in public procurement? With the proliferation of e-procurement systems in the public sector, anti-corruption agencies and watchdog organizations have access to valuable sources of information with which to identify transactions that are likely to become troublesome and why. In this article, we discuss the promises and challenges of using machine learning models to predict inefficiency and corruption in public procurement. We illustrate this approach with a dataset with more than two million public procurement contracts in Colombia. We trained machine learning models to predict which of them will result in corruption investigations, a breach of contract, or implementation inefficiencies. We then discuss how our models can help practitioners better understand the drivers of corruption and inefficiency in public procurement. Our approach will be useful to governments interested in exploiting large administrative datasets to improve the provision of public goods, and it highlights some of the tradeoffs and challenges that they might face throughout this process.     

Estimation and model selection based inference in single and multiple threshold models

This paper evaluates the properties of a joint and sequential estimation procedure for estimating the parameters of single and multiple threshold models. We initially proceed under the assumption that the number of regimes is known á priori but subsequently relax this assumption via the introduction of a model selection based procedure that allows the estimation of both the unknown parameters and their number to be performed jointly. Theoretical properties of the resulting estimators are derived and their finite sample properties investigated.     

Specification via model selection in vector error correction models

This paper proposes a model selection approach for the specification of the cointegrating rank in the VECM representation of VAR models. Asymptotic properties of estimates are derived and their features compared with the traditional likelihood ratio based approach.