Pseudo empirical likelihood method in the presence of missing data

In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study.     

Cash flow effects on economic growth

Policy makers have traditionally considered the macroeconomic relations and the variables that can affect the economic objectives that they pursue, such as prices, employment, balance of payments, and economic growth. Recently, microeconomic behavior has also been considered. To complete the analysis, it is necessary to include those variables that define the firm's evolution and activities, and cash flow could be this kind of variable to be included in the analysis. The main objective of this paper is to show the relationship between cash flow and one of the final economic policy targets, economic growth. This paper considers the relationship between cash flow and applied economics, then develops the effects of cash flow on economic growth.     

Police-Monitored Cameras and Crime*

We study the effects of police monitoring on crime. We exploit detailed information on the location and date of installation of police-monitored surveillance cameras, coupled with data at the street-segment level on all reported crimes in the city of Montevideo, Uruguay. We find that the introduction of police-monitored surveillance cameras reduces crime by about 20 percent in monitored areas relative to a pure control group located outside the city. We also explore potential displacement effects, and we do not find evidence of such effects.     

From real estate to consumption: the role of credit markets in the USA

The aim of this article is to test whether the credit market conditions affect the strength of transmission of real estate wealth effects on household consumption in the US economy. Although many different works have dealt with the analysis of the existence of a real estate wealth effect, most of them as a reaction to the dramatic increase of housing prices in several OECD countries, there are only few papers analysing whether the consumption response depends on the positive or negative sign of the wealth shock and, as far as we know, none of them takes the effects of credit market conditions on that asymmetric response into account. This article tries to fill the existing gap in the literature on this matter. From an econometric perspective, we estimate the asymmetries in the consumption response within the momentum threshold autoregressive model (M-TAR) proposed by Enders and Siklos (2001), but following Stevans (2004), it is applied to a multivariate framework. The main results show that the credit market conditions play a significant role in the transmission of changes in real estate wealth to consumption. In addition, we find that there exists an asymmetric behaviour in the US aggregate consumption spending responses to real estate wealth and credit market shocks, which is only significant when a negative shock takes place.     

Economic growth as a function of human capital,internet and work

The World Bank has suggested the need to enhance Information and Communication Technology skills in all sectors because a 10% increase in internet connectivity was found to boost GDP growth by 1.38%. Simultaneously, the OECD argued that high internet access rates generate a 2% increase in GDP. Because the internet positively affects economic growth, we investigated the relationship between an economically active population, human capital and technology to evaluate these effects in Mexico. A data series from 1991 to 2010 was analysed in three stages according to the least-squares method. A Cobb–Douglas function under the Solow model was considered. Technology and internet access were found to positively affect top-level students and graduate students and thus contribute to the global innovation index.     

Gender and regional inequality in human development: the case of Spain1

In this paper, we present estimates of the Human Development Index and the Gender-Related Development Index in the Autonomous Communities of Spain. Our case study of Spain, a developed country with clear gender and regional differences, demonstrates the importance of adjusting human development indices in accordance with gender discrimination and regional inequalities. We also show the significance of the income component in assessing the development level of women in countries like Spain, where lack of employment or low remuneration are the chief characteristics of women's inequality. Our analysis makes clear that the Gender-Related Human Development Index has limited applicability in developed countries; it also illustrates the need for alternative variables or models to assess inequality in those countries.     

‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife

The willingness to pay (WTP) for a coyote conservation program is estimated using a novel payment-vehicle, based on how many ‚problem’ coyotes respondents would be willing to sponsor for a year. This hypothetical scenario mimics an increasingly popular type of actual market. Data from a phone survey conducted in Prince Edward Island are analyzed using count data models that consider different processes explaining zero responses and the level of positive responses. This is particularly important in the case of coyotes, often regarded as an economic bad. Estimates of WTP per coyote per year around $18–$22 and annual WTP per contributor of about $46–$57 are obtained.      

The determinants of trade performance: influence of R&D on export flows

A theoretical model is presented, in which supply side differences between countries determine international trade flows. This model is empirically tested at a sectoral level for a group of EU countries, within a framework that focuses on changes through time and differences between countries. The results show that the validity of the theoretical model is limited at sectoral level. However, as expected, we find that the variable representing technological differences is significant and correctly signed for high-technology sectors. The evidence points to the existence of different production functions across countries and to the importance of supply side factors in determining the direction and the terms of trade.     

The introduction of seasonal unit roots and cointegration to test index aggregation optimality: An application to a Spanish farm price index

In this paper we present a methodological proposal of the way integration and cointegration analysis can best be used to test if the level of aggregation of an index is adequate. Using this proposal, we enquire the extent to which a Spanish aggregate farm price index captures the behavior of its components. First version received: October 1994/final version received: September 1998     

Regional and Sector-specific Determinants of Industry Dynamics and the Displacement–replacement Effects

In this paper, we empirically assess the importance of regional and sector-specific determinants of industry dynamics. To this aim we test three hypotheses (originally proposed by Shapiro and Khemani (1987, Int J Indust Organ 5:15–26)) for the relationship between the entry and exit of firms: independence, symmetry and simultaneity. Estimates from a panel data system of equations seem to confirm the simultaneity hypothesis for Spain, i.e. we find evidence of a displacement (replacement) effect between the gross rate of entry (exit) and the gross rate of exit (entry). Also, our results show that, irrespective of the hypothesis we use, both sectorial and regional variables affect entry and exit.