Exchange rate and inflation dynamics in dollarized economies

We use a panel of a hundred-plus countries with differing degrees of dollarization to perform an empirical analysis of the effects on inflation of exchange rate depreciations. The results qualify the common view that countries with higher dollarization exhibit higher inflation pass-through. We show that large depreciations tend to generate a negative impact on the pass-through coefficient, this impact being more intense the higher the level of dollarization of the economy. We interpret this as evidence that, in highly dollarized economies, the classic inflationary effects of a real depreciation—higher internal demand and imported inflation—can be offset or diminished by both the larger financial costs and the balance-sheet effect, especially if the depreciation is “large”. Additionally, the exchange rate regime is shown to matter: countries with fixed exchange rates suffer more noticeably the balance-sheet effects of large depreciations.     

Linear SAM models for inequality changes analysis: an application to the Extremadurian economy

Social accounting matrices are adequate databases for the economic modelling. These matrices emphasize the role of households in the economy, and so, they usually disaggregate the household sector into several groups. This disaggregation allows social accounting matrices to be used for diverse income distribution analysis. The objective of this work is to use the linear SAM models to study how inequality is modified by several exogenous injections of income. The set of multipliers and indicators presented is applied to the economy of Extremadura – a region situated in the southwest of Spain. In particular, together with the accounting multipliers, two redistributed income matrices are presented to show how changes in final demand and in income transfers cause opposite effects in inequality. For contrasting these results, Gini and Theil indices are also used. Finally, a major reduction in both would result from an appropriate re-allocation of transfers.     

Convergence of fiscal pressure in the EU: a time series approach

The study of fiscal convergence in the EU is a relevant issue in the context of economic integration and fiscal harmonization and we report new empirical evidence on this topic using a time series approach. We apply unit root and stationarity tests with an endogenous break for the study of long run, deterministic and stochastic convergence of the national tax burden taking Germany, the United Kingdom and the European average as benchmarks. Only the United Kingdom and Germany show long run convergence and few countries converge despite harmonization efforts and fiscal competition.     

The effect of output specification on the optimal policy design for electric utilities

We show that the manner in which the production process is seen when analyzing data on electricity production has an impact on the policy conclusions. In particular, we show that the different specifications of output found in the literature can generate quite diverse views regarding regulation and optimal industry structure, even when using the same data to estimate a cost function. To illustrate this we use information gathered from the Spanish Electric Industry and analyze electricity activities following three approaches: the traditional aggregate activity view, the multistage model and the multioutput-multistage approach. We estimate the degree of economies of scale S and derive marginal costs for all models, plus economies of vertical integration (EVI) for the last two ones. Then we compare these results and verify that the aggregate analysis can mislead policymaking.     

Mergers and acquisition trends in Europe

The research revises, in a first step, the different European waves of mergers and acquisitions and their differences with the American waves. Mergers and acquisitions are defined as an important corporate restructuring method with four main different ways to make them. The body of this paper analyzes the merger and acquisition situation in 1994 in Europe compared with the situation in previous years. Mergers and acquisitions activity in major European countries in 1993 and 1994, various volume transactions in mergers and acquisitions activity, cross-border deals in Europe between 1989 and 1994, and the big buyers in cross-border deals in 1994 are analyzed. The paper also emphasizes the different characteristics and their evolution.     

Structural Breaks and Convergence in the Regions of Peru: 1970–2010

The aim of this paper is the analysis of stochastic and β‐convergence in the relative regional per capita outputs using different unit root tests both with and without structural breaks and using a further test that is robust to the presence of I(0) or I(1) errors. It allows robust inference on the estimates of the initial per capita output (intercepts) and the respective growth rates (slopes). The results of the application of unit root tests without structural breaks show the absence of stochastic convergence. However, by incorporating the presence of endogenous breaks, the results are reversed for all regions. In the case of β‐convergence, the results of the robust test W_RQF show that all regions have a structural break at some point during the period 1970–2010. We find different behavior for different regions. There is a catching‐up process and a lagging‐behind process for different groups of regions towards more negative or more positive paths.     

Unlocking the power of marketing: understanding the links between customer mindset metrics,behavior, and profitability

Recent evidence about the central role played by perceptual constructs in driving performance outcomes has produced a renewed interest in studying customer mindset metrics (CMMs; e.g., satisfaction, service quality, and loyalty intentions). However, we still lack a proper understanding of how (i.e., process) and to what extent (i.e., magnitude) these CMMs ultimately translate into profitability at the customer level. In this study, we integrate CMMs into an individual-level framework of customer behavior and profitability and provide a conceptual understanding of the process through which these metrics influence customer profitability. Specifically, we propose three mechanisms through which CMMs affect customer behavior and profitability: behavioral effect, marketing effectiveness effect, and marketing efficiency effect. We empirically test this framework across two distinct contexts, a B2B high-tech firm and a B2C telecommunications firm. The results demonstrate that these unobservable CMMs have a significant and multi-dimensional impact on customer behavior and customer profitability. Furthermore, we compute the increases in customer behavior and customer profitability that each firm can expect due to increases in CMMs to help firms improve resource allocation and make better decisions about how much (and when) to invest in CMMs.     

Legal form and risk exposure in Spanish firms

Abstract. It is well-known that the legal form adopted by a firm determines the type of legal responsibility borne by its owners in case of bankruptcy. In this paper we argue that a firm under a limited liability status should be characterized by a higher than average bankruptcy probability, which ultimately captures their risk exposure when output is affected by exogenous shocks. To test this prediction we extend Lee's (1976) switching regressions model to a panel dataset of 1313 Spanish firms from 1990–1994, separating them into corporate and entrepreneurial forms (with/without limited liability, respectively). We consider both random effects and fixed effects panel data models, taking into account the potential endogeneity between risk exposure and the legal form choice. Our results confirm the hypothesis that firms under limited liability have significant higher risk exposure than firms under unlimited liability. The authors gratefully acknowledge valuable suggestions from Maite Martínez-Granado, A. Jorge Padilla, Javier Suárez and two anonymous referees. Data and financial support provided by the Fundación Empresa Pública (Madrid) and comments from participants at seminars held at CEMFI, Simposio de Análisis Económico and Universidad de Vigo are also sincerely appreciated. Mr. Campos particularly acknowledges research funding by the University of Las Palmas.     

Input cost, capacity utilization and substitution in the short run

This article studies the behavior of input cost shares in an environment where labor is costly to adjust, materials can be adjusted at no cost and capital is fixed. A model relating cost shares with relative prices and adjustment costs is proposed, allowing joint estimation of the elasticity of substitution and the adjustment cost function, which is an unknown function of the capacity utilization. Based on a panel of more than 700 manufacturing firms, we find evidence of strong input share variations according to the degree of capacity utilization. The estimated shapes of adjustment costs curves of labor are in agreement with our theoretical model, and we obtain sensible elasticities of substitution estimates. Based on such estimates, we find evidence of a negative (positive) bias in downturns (recoveries) in conventional productivity growth measures.     

An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals

In this paper we provide an alternative approach to analyze the demand for international tourism in the Balearic Islands, Spain, by using a neural network model that incorporates time-varying conditional volatility. We consider daily air passenger arrivals to Palma de Mallorca, Ibiza and Mahon, which are located in the islands of Mallorca, Ibiza and Menorca, respectively, as a proxy for international tourism demand for the Balearic Islands. Spain is a world leader in terms of total international tourist arrivals and receipts, and Mallorca is one of the most popular destinations in Spain. For tourism management and marketing, it is essential to forecast high frequency international tourist demand accurately. As it is important to provide sensible international tourism demand forecast intervals, it is also necessary to model their variances accurately. Moreover, time-varying variances provide useful information regarding the risks associated with variations in international tourist arrivals.