Absenteeism and Undergraduate Exam Performance

The author investigates the relationship between students' absenteeism during a principles of microeconomics course and their subsequent performance on exams. Records were maintained regarding the specific class periods that each student missed during the semester. Records were also kept of the class meeting when the material corresponding to each multiple-choice test question was covered. A qualitative choice model reveals that students who missed class on a given date were significantly more likely to respond incorrectly to questions relating to material covered that day than students who were present.     

A Survey of Textbooks for Industrial Organization and Public Policy

All teachers of economics will be interested in the author's dissection of the industrial organization course into its components. Teachers of this specialty will find this survey particularly useful for its examination of how the major texts treat each of the components.     

ARE CONSUMERS MORE LOYAL TO NATIONAL BRANDS THAN TO PRIVATE LABELS?

The evolution of private labels (PLs) can be understood in terms of a strategy adopted by the retail industry with the aim of competing with national brands (NBs). In the 1990s, this strategy led to the development of ‘me too’ products, which currently represent the largest share of store brand products. Since the early 2000s, retailers have widened the range of their store brands by introducing high‐quality products. The aim of this study was to estimate consumers’ attachment to ‘me‐too’ and niche PLs respectively, as compared to NBs. We captured the degree of maturity of these PLs through their price‐elasticities, computed for three staple goods offered by three mass retail companies. It was found that price sensitivity does not differ much between the ‘me‐too’ PLs and the corresponding NBs. This result confirms that ‘me‐too’ products are now considered reliable quality brands. However, in the high quality segment, consumers remain more sensitive to the price of PLs than to that of NBs, a characteristic which may relate to their recent introduction on the market.     

The Endurance and Eclipse of the Controlled Vote: A Formal Model of Vote Brokerage Under the Secret Ballot

Throughout much of mankind's experience with elections, vote brokers – local elites who direct the voting decisions of a subset of the electorate – have been able to make or break political careers. In various polities, brokers have thrived in spite of the secret ballot, a surprising outcome given that vote secrecy would ostensibly allow citizens to pocket the inducements offered by such individuals and vote their consciences anyway. To address this puzzle, we develop a framework for understanding the persistence and demise of vote brokerage under the secret ballot. In our model, a broker contracts with voters using an outcome contingent contract: some fixed benefit is promised to all voters sharing one of several observable profiles should the broker's candidate win the election. Using this framework, we demonstrate that the existence of brokerage depends on the size of the electorate contained within the jurisdiction controlled by the broker, with large jurisdiction sizes tending to drive brokerage out of existence. Moreover, we detail the manner in which the strategies employed by brokers depend on their economic power, the size of social groups, and ideological polarization. Empirical evidence from Minas Gerais, Brazil is used to evaluate the performance of the model.     

Supply function equilibria: Step functions and continuous representations

In most electricity markets generators must submit step-function offers to a uniform price auction. These markets are often modelled as simpler pure-strategy Supply Function Equilibria (SFE) with continuous supply functions. Critics argue that the discreteness and discontinuity of the required steps drastically change Nash equilibria, invalidating predictions of the SFE model. We prove that there are sufficient conditions, offered quantities can be continuously varied, offered prices are selected from a finite set, and the density of the additive demand shock is not too steep, where the resulting stepped SFE converges to the continuous SFE as the number of steps increases, reconciling the apparently very disparate approaches to modelling electricity markets.     

Growth,convergence and public investment. A Bayesian model averaging approach

The aim of this study is twofold. First, the determinants of economic growth are studied among a wide set of potential variables for the Spanish provinces (NUTS3). Among others, various types of private, public and human capital in the group of growth factors are included. Also, it is analysed whether Spanish provinces have converged in economic terms in recent decades. The second objective is to obtain cross-section and panel data parameter estimates that are robust to model specification. For this purpose, a Bayesian Model Averaging (BMA) approach is used. Bayesian methodology constructs parameter estimates as a weighted average of linear regression estimates for every possible combination of included variables. The weight of each regression estimate is given by the posterior probability of each model.     

Do retail mergers affect competition? Evidence from grocery retailing

This study estimates the price effects of horizontal mergers in the U.S. grocery retailing industry. We examine fourteen regions affected by mergers, including mergers in highly concentrated and relatively unconcentrated markets. We identify price effects by comparing markets affected by mergers to unaffected markets using difference‐in‐difference estimation with three different comparison groups, propensity score weights, and by using the synthetic control method. Our results are robust to the choice of control group and estimation technique. We find that mergers in highly concentrated markets are most frequently associated with price increases, and mergers in less concentrated markets are most often associated with price decreases.     

CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.