Analysis of Domestic Factors Affecting Outward Foreign Direct Investment in Brazil

Developing markets have increasingly gained prominence in the world economy, but the domestic factors behind this success are not well established. This uncertainty may interfere with multinational expansion plans. In this article, we examine several macroeconomic and institutional factors affecting Brazilian outward foreign direct investment in 17 destination countries. We applied a pooled ordinary least squares regression over the 2001–2014 period. The findings suggest that macroeconomic factors are still statistically significant to explain investment abroad, but several institutional factors such as corruption have emerged, having a negative effect and political violence having a positive effect on Brazilian outward foreign direct investment.     

The determinants of service exports from Central and Eastern Europe

The transition economies of Central and Eastern Europe (CEE) have become important exporters of many types of services to Western Europe. We identify the sources of CEE’s advantages over competing exporters, such as India, China and Brazil, using disaggregated data on service exports and a novel estimation technique for the gravity equation. Our results indicate that the importance of geographical distance varies substantially across types of service exports. Geography is important for exports of construction services, but it has a negligible impact on computer‐related services. However, the relative quality of legal institutions influences trade across a broad range of service categories. The results demonstrate that aggregating services that are not homogeneous could conceal important differences in the effects of geographical distance and other variables on the pattern of service trade.     

Trade integration and within-plant productivity evolution in Chile

We analyze the impact of trade integration on plant TFP using Chilean plant-level data (1982–1999) and 3-digit bilateral trade flows. Our contribution is to disentangle the impact of export and import barriers, estimated as border effects within a multilateral context. A fall in export barriers is positively correlated with plant productivity in traded sectors. The reduction of import barriers, however, can only be associated to productivity improvements in export-oriented sectors. In import-competing sectors a robust positive correlation shows up between plant productivity and protection. We then test several channels linking trade integration and firm productivity.     

Britt,Steuart Henderson. Psychological Principles of Marketing and Consumer Behavior. Lexington,Mass.: Lexington Books, 1978

Abstract

Conventionally, an advertiser's spending on the creative component of an advertising campaign is small in relation to the media budget and is channeled exclusively to a single advertising agency. Gross challenged those conventions more than 20 years ago, using a mathematical model of advertising effectiveness. His model suggested spending more on the creative component and doing so in a competition among several independent sources. The model assumed a normal distribution of effectiveness of advertisements. Data on response to consumer product ads show that the distribution of effectiveness is not normal, but quite skewed. Using Monté Carlo simulations and Gross's framework, the authors find that the skewness strengthens the case for competition. Shifting a sizable percentage of a campaign budget away from media spending and into competitive generation of creative renderings apparently can be very profitable.     

The Compatibility of Advertising Regulation and the First Amendment

This article argues that advertising regulation and the First Amendment are not nearly so incompatible as has been popularly suggested. The reason lies in their common historical roots. Advertising regulation has its origins in the law of caveat emptor, a law of freedom of speech established from the same philosophical background as was the First Amendment. This relationship is described, and implications for present and future regulation are discussed.     

Economy as a Social System: Niklas Luhmann's Contribution and its Significance for Economics

Niklas Luhmann's (1927–1998) ambitious research project was aimed not only at describing society as a global social system, but it also analyzed various subsystems (including an economic one). The article assesses Luhmann's vision of the economy, summarized mainly in his Wirtschaft der Gesellschaft, wherein he addresses basic economic notions: the economic system, money, prices, rationality, and the market. I then interpret his ideas in the context of modern discussions in economics (intersubjective structures, complex systems, and evolutionary modeling). I also propose some heuristics implied by Luhmann's economic ontology, which are potentially interesting for methodological and theoretical strategies of modern economics.     

Sequential estimate for linear regression models with uncertain number of effective variables

As a result of novel data collection technologies, it is now common to encounter data in which the number of explanatory variables collected is large, while the number of variables that actually contribute to the model remains small. Thus, a method that can identify those variables with impact on the model without inferring other noneffective ones will make analysis much more efficient. Many methods are proposed to resolve the model selection problems under such circumstances, however, it is still unknown how large a sample size is sufficient to identify those “effective” variables. In this paper, we apply sequential sampling method so that the effective variables can be identified efficiently, and the sampling is stopped as soon as the “effective” variables are identified and their corresponding regression coefficients are estimated with satisfactory accuracy, which is new to sequential estimation. Both fixed and adaptive designs are considered. The asymptotic properties of estimates of the number of effective variables and their coefficients are established, and the proposed sequential estimation procedure is shown to be asymptotically optimal. Simulation studies are conducted to illustrate the performance of the proposed estimation method, and a diabetes data set is used as an example.     

Perceptions of Change in Business Relationships and Networks

Our research deals with the role of actors in change in business relationships and networks. In this study, we explore how cognitive elaboration of experience of a relationship affects the relationship development. The link between behaviors and cognitive elaborations has been the object of recent research in marketing, but little attention has been given to the issue of cognition and behaviors when actors interact in business relationships. Given the role of relationships and their dynamics for the development of business networks, we believe that the issue deserves more attention. Also, compared to the interest in the space dimension of business networks, i.e., network pictures, perceptions of time have been under-investigated. We report findings from 84 bilateral interviews with managers involved as customers or suppliers in 21 relationships with ICT Security at two points in time. We collected their interpretations and reinterpretations of past developments, outcomes, and desired outcomes of the relationships in which they were involved. Our data suggest that the link between managers' cognitive elaborations and relationship dynamics is less direct than commonly assumed. We argue that evolution of a relationship cannot be explained by individual interpretations of the parties involved in the relationship; a preliminary finding is that actors' intentions appear more to shape the interpretations, rather than the contrary.