Spatial Modeling in Technology Adoption Decisions: The Case of Shuttle Train Elevators

This article empirically models a strategic game of technology adoption of shuttle train grain elevators with information on location of the firm and its competitors. A spatial econometric model illustrates the role of spatial interdependence of rivals' decisions as well as agronomic and competitive variables on discrete adoption decisions. The analysis assesses equilibria conditions that characterize technology adoption, in this case of shuttle train adoption, and the results provide an explanation of shuttle train adoption decisions in the grain handling industry in which spatial competition is critical.     

Estimating the direct impact of bank liquidity shocks on the real economy: Evidence from letter‐of‐credit import transactions in Colombia

This study identifies and provides an estimate of the impact of bank liquidity shocks on real economic activity by exploring letter‐of‐credit import transactions in Colombia during the 2008 to 2009 global financial crisis. The detailed dataset on letter‐of‐credit transactions allows for exploiting within‐importer–exporter variation across issuing banks. The study finds substantial effects of bank liquidity shocks on letter‐of‐credit import transactions: banks that were more vulnerable to adverse liquidity shocks—proxied by the ex ante reliance on wholesale funding or borrowings from foreign banks—reduced letter‐of‐credit issuances more in both intensive and extensive margins. The study also confirms that it had real effects: importer–exporter pairs that relied more on letter‐of‐credit transactions experienced a greater reduction in their total imports in response to adverse bank liquidity shocks.     

Dynamics of Beef Supply in the Presence of Cointegration: A New Test of the Backward-Bending Hypothesis

Following a general-to-specific strategy of model development, we develop error-correction equations for fed beef supply and feeder cattle demand. Starting with a theoretically acceptable set of variables, preliminary tests for unit roots and cointegrating vectors show stationary quantity variables and cointegrated prices. Simplification of the lag structure leads to equations with considerably richer dynamics than in previous studies. The final model passes several misspecification tests, is robust when estimated on subsamples of data, and makes more accurate out-of-sample forecasts than other models. In beef supply, the estimated error-correction model decomposes the backward-bending supply hypothesis into negative short-run and positive long-run supply elasticities at the monthly frequency.     

Inequality and criminality revisited: further evidence from Brazil

The objective of this study is to shed light on the determinants of criminality rates in Brazil. A panel data model was estimated using Brazilian states’ data. Our main result suggests that income inequality plays an important role in the determination of the crime rate. Furthermore, there are evidence suggesting that both unemployment and urbanization rates are positively related to crime. Based on a GMM approach we find the existence of an “inertial effect” on criminality. Besides that, the GMM results show that public security spending is effective in reducing criminality rates. Contrary to the common wisdom, we could not find evidence that poverty increases violent crimes. Finally, we have evidence that income inequality Granger causes crime, but not the reverse.     

Applying the capture-recapture method to estimate road traffic deaths and injuries in three non-contiguous cities in the Philippines

In establishing goals for the Philippine road safety plan, police data were used. Police reports are likely underreporting. We apply capture-recapture analysis to determine expansion factors and estimate the true incidence. Three cities were visited where data on deaths (2014) and injury (January–March 2014) from hospitals, police and civil registry were collected. Matching was done to generate a final list of injured and dead individuals. The Chapman method was used for estimating the true number of cases. Police data exhibited underreporting in all site. Expansion factors of the police data range from 5.4 to 29× for deaths and 3.2 to 47× for non-fatal injuries. Expansion factors are likely useful to estimate the true incidence of road traffic injuries in areas with weak injury surveillance systems such as the Philippines.     

Evaluation of the effect of investor psychology on an artificial stock market through its degree of efficiency

The main objective of this article is to develop a Cellular Automaton Model in which more than one type of stockbroker interact, and where the use and exchange of information between investors describe the complexity measured through the estimation of the Hurst exponent. This exponent represents an efficient or random market when it has a value equal to 0.5. Thanks to the various proposals, it can be determined in this investigation that a rational component must exist in the simulator in order to generate an efficient behavior.     

Optimal fiscal policy in the Uzawa-Lucas model with CES production

This paper devises an endogenous growth model with human capital in the Uzawa-Lucas framework in which the average human capital has a positive external effect on the goods sector. Unlike previous works, this paper assumes that output is produced with a CES technology and analyzes the existence, uniqueness, and stability of equilibrium. Also, a fiscal policy is devised that is capable of providing the required incentives to optimize the competitive equilibrium. In order to correct the market failure caused by the externality, the authors introduce a subsidy to human capital and analyze how it can be financed in an optimal way. Some simulation results are presented.     

The examination of pecan price differences using spatial correlation estimation

A spatial analysis is used to model factors that explain the price received by pecan growers. Besides the statistical aspect of the study focussing on spatial autoregressive residuals, the economic analysis of the paper identifies linkages between the price for in-shell pecans received by growers and the characteristics of the orchard, production costs and resources, and the orchard location.     

Evaluación del efecto de la psicología del inversionista en un mercado bursátil artificial mediante su grado de eficiencia

The main objective in this paper is developing a cellular automaton model where interact more than one kind of broker, where the use and exchange of information between the investors explain the complexity through the Hurst coefficient estimation, this, represents an efficient or random market when the value is equal to 0.5. Due to the variants proposed in this research it can be determined that should exist a rational component in the simulator in order to generate an efficient behavior.     

The application of proxy methods for estimating the cost of equity for unlisted companies: evidence from listed firms

Review of Quantitative Finance and Accounting - The Campbell and Vuolteenaho (Am Econ Rev 94(5):1249–1275, 2004) two–beta model decomposes the systematic risk in the sensitivity of cash...