On Measurement of Economic Growth

This article continues the discussion raised in the pages of the journal on the methodological problems of justifying economic policy [1]. Problems of measuring the inflationary component of economic growth and in product competitiveness in the internal market and external markets are considered. A procedure to measure economic growth, taking into account the balance of interests of the current and future generations, is proposed.     

Multinationals: Too Many or Too Few?— The Proximity–concentration Trade-off

The paper builds an analytically tractable model that illustrates the “proximity–concentration trade-off” involved in horizontal multinationals. For low trade costs, firms are single-plant firms, for intermediate costs, some are single-plant firms whereas others are multinationals, for large trade costs, firms are multinationals. Because of the modeling strategy, the model is suited for a welfare analysis of multinationals. It shows that too many firms choose to concentrate their production in only one location. Also, for some transport costs, a reduction in transport costs worsens welfare.

Tax system and informal economy: a cross-country analysis

This article analyses determinants of informal economy. By using qualitative aspects of tax systems, first, we create a ‘Smithian’ tax system index based on Adam Smith’s four maxims. Then, using this index and other control variables, we study determinants of informal economy. We use unique panel data set that is constructed by using various sources. After taking into account the endogeneity of tax burden and GDP per capita, our results show that ‘Smithian’ tax system index does not significantly affect informal economy. Our results suggest that rule of law, complexity of a tax system and tax burden affect informal economy negatively, while labour market regulations affect positively.     

Politically stable pay-as-you-go pension systems: When the social-insurance budget is too small in a democracy

The essay analyzes in an overlapping-generations model, to which extent a pay-as-you-go pension system will be the outcome of majority voting, given specific institutional set-ups. Clearly, the vote of an active person depends on his expectations about how the present decision (i.e., his contribution) is linked to the future (i.e., his benefits), when he will be retired. In the paper we employ the assumption of a basic social contract where each active voter's future benefits are positively related to his contributions. It is shown that in this framework a steady-state with a positive (though lower than optimal) level of the pension system exists, even if a new majority decision about the system takes place every period.     

Evidence of Stock Returns and Abnormal Trading Volume: A Threshold Quantile Regression Approach

This paper presents a capital asset pricing model‐based threshold quantile regression model with a generalized autoregressive conditional heteroscedastic specification to examine relations between excess stock returns and “abnormal trading volume”. We employ an adaptive Bayesian Markov chain Monte Carlo method with asymmetric Laplace distribution to study six daily Dow Jones Industrial stocks. The proposed model captures asymmetric risk through market beta and volume coefficients, which change discretely between regimes. Moreover, they are driven by market information and various quantile levels. This study finds that abnormal volume has significantly negative effects on excess stock returns under low quantile levels; however, there are significantly positive effects under high quantile levels. The evidence indicates that each market beta varies with different quantile levels, capturing different states of market conditions.     

The Impacts of Promotions/Marketing, Scheduling, and Economic Factors on Total Gross Revenues for Minor League Baseball Teams

The purpose of this empirical study is to identify the key marketing and scheduling determinants of game attendance at minor league baseball games. Identification of such marketing and scheduling factors can provide the management of minor league teams in similar environments with information to more efficiently pursue the goal of game attendance maximization. To ensure greater comparability of data between teams and hence relevance of results, this study focuses upon a single grouping of teams, the Carolina League, and a single minor league baseball season, 2006. The Carolina League consists of eight teams serving eight metropolitan areas: Lynchburg City, VA; Winston-Salem, NC; Wilmington, DE; Salem City, VA; Myrtle Beach, SC; Prince William County, VA; Lenoir City, NC; and Frederick County, MD.