Socioeconomic Index for Income and Poverty Prediction: A Sufficient Dimension Reduction Approach

The present paper introduces a novel method for the construction of Socioeconomic Status (SES) indices that are specific to a target variable of interest. It is based on the Sufficient Dimension Reduction (SDR) paradigm and uses a factorized model-based approach to simultaneously deal with predictor variables of mixed nature (i.e. quantitative, binary, and ordinal), which are usual in microeconomic data. These SES indices also identify relevant predictor variables using a two-step regularized matrix factorization approach. Using data from household surveys for Argentina (Encuesta Permanente de Hogares-EPH), the proposed method is compared with other existing dimension reduction algorithms such as standard Principal Component Analysis (PCA) and its version for mixed variables, regression on the full set of variables and Least Absolute Shrinkage and Selection Operator regression (LASSO).     

Linear Programs in Cost Accounting： A Linear Cost Model

This paper aims to find unit cost of a product for firms. It establishes a linear cost model to find unit cost. Linear goal programs assume a direct relationship between independent variable and dependent variable. Dependent variable of linear model is unit cost. Independent variables are cost accounting variables. They are supply cost, labor cost, and administration cost. This study assumes a direct relationship between supply-labor-administration costs and unit cost. Therefore, it establishes a linear cost model. The major research question of this study is to apply linear goal programming to cost accounting. The goal of this linear program is to find unit cost of product. This study uses quantitative method and human capital method. The main research result is linear costing model itself.     

Solving dynamic public insurance games with endogenous agent distributions: Theory and computational approximation

We make two contributions in this paper. First, we extend the characterization of equilibrium payoff correspondences in history-dependent dynamic policy games to a class with endogenously heterogeneous private agents. In contrast to policy games involving representative agents, this extension has interesting consequences as it implies additional nonlinearity (i.e., bilinearity) between the game states (distributions) and continuation/promised values in the policymaker’s objective and incentive constraints. The second contribution of our paper is in addressing the computational challenges arising from this payoff-relevant nonlinearity. Exploiting the game’s structure, we propose implementable approximate bilinear programming formulations to construct estimates of the equilibrium value correspondence. Our approximation method respects the property of upper hemicontinuity in the target correspondence. We provide small-scale computational examples as proofs of concept.     

Forecasts in times of crises

Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangements (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value, as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two-thirds of the key macroeconomic variables that we examine are forecast inefficiently, and six variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast biases. The forecasts for low-income countries are the main drivers of forecast biases and inefficiency, perhaps reflecting larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are influenced significantly by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.     

Points mechanisms and rewards programs

I study points programs, such as frequent flyer and other rewards programs, as a revenue management tool. I develop a two‐period contracting model where a capacity‐constrained firm faces consumers who privately learn their valuations over time. The firm cannot commit to long‐term contracts, but it can commit to allocate any unsold capacity through a points program. This points scheme creates an endogenous and type‐dependent outside option for consumers, which generates novel incentives in the firm's pricing problem. It induces the firm to screen less ex interim, and to offer lower equilibrium prices, reversing the intuition of demand cannibalization.     

Perceived benefits of loyalty programs: Scale development and implications for relational strategies

Positive outcomes of loyalty programs are clear for firms, yet little research examines customer perceptions. To address this gap, this article investigates various perceived benefits of loyalty programs using a multi-benefit framework based on utilitarian, hedonic, and relationship literature. Two quantitative studies, involving 658 French members of loyalty programs, provide a 16-item scale that measures five types of perceived benefits: monetary savings, exploration, entertainment, recognition, and social benefits. The five dimensions have different impacts on satisfaction with the program, loyalty to the program, and perceived relationship investment of the firm. This article offers a discussion of the theoretical and managerial implications of these findings for relationship marketing strategies.     

Modelling airline flight cancellation decisions

In order to predict airline responses to Traffic Management Initiatives (TMIs), and reveal the underlying preference structures that shape these responses, we study US domestic airlines’ cancellation decisions in response to the Federal Aviation Administration (FAA)’s TMIs, in particular, to Ground Delay Programs (GDPs). By observing the actual flight-cancellation choices made by airline dispatchers, the airlines’ cancellation utility functions can be inferred through the use of binary choice models. The model captures how delays to a given flight and potential delay savings to other flights affect flight cancellation decisions. We also find larger, fuller, less frequent, shorter-distance, and spoke-bound flights are less likely to be cancelled, and that there is inter-airline variation in flight cancellation behaviour.     

The distinct influence of power distance perception and power distance values on customer satisfaction in response to loyalty programs

In today's fiercely competitive environment, firms are increasingly relying on loyalty programs to influence customers' repeat purchase behavior. However, little is known about how customers' cultural values shape their satisfaction in response to loyalty programs. Such knowledge is important because it allows marketers to identify cultural segments that may be more or less likely to respond favorably to loyalty programs, and hence increase the effectiveness of such programs. In the current research, we propose that power distance perception — defined as the extent to which people observe power disparities in society — positively influences satisfaction of customers who hold loyalty status, but negatively influences satisfaction of customers who do not hold loyalty status with a firm. In contrast, power distance values — defined as the extent to which people endorse power disparities in society — negatively influences satisfaction of customers who hold loyalty status, but positively influences satisfaction of customers who do not hold loyalty status with a firm. A quasi-field study and several lab experiments support these propositions, shed light on the underlying mechanisms, and rule out alternative explanations. Our findings also uncover several distinct tools that marketers could use to influence non-loyalty status and loyalty status customers' satisfaction with businesses.     

The impact of leniency and whistle-blowing programs on cartels

Antitrust authorities have set up leniency programs for cartel members that denounce their collusive agreements. These programs help prosecute participants and can thereby deter collusion. We compare the impact of reduced fines and positive rewards and argue that rewarding individuals, including firm employees, can deter collusion in a more effective way.We discuss possible adverse effects of whistle-blowing programs on firms' behavior, and particularly on turnover, incentives to innovate and cooperation. We also explore explanations for the puzzling fact that managers keep incriminating evidence and argue reward programs actually provide additional incentives for keeping such evidence.     

Strategic take-back programs when consumers have heterogeneous environmental preferences

We look at the strategic introduction of take-back programs (TBPs) which offer consumers a discount on their next purchase (reward) when they drop off previous purchases. In a Hotelling duopoly, consumers are heterogeneous not only in terms of their location on the Hotelling line but also in terms of their recycling preferences. Firms introduce TBPs to obtain a market share advantage (reward effect) and/or to recover the intrinsic value of the recycled units (recycling effect); their choice of the optimal reward balances these two effects: for instance, a firm might be willing to introduce a TBP, even if this means losing money on each recycled unit, in order to prevent the competitor from gaining a too large market share advantage. Comparing the level of TBP uptake at the market equilibrium to the one that maximizes social welfare, we show that a lower or higher TBP uptake can be socially desirable, depending, among other, on the weight that is given to the environmental benefits of TBPs. Several extended producer responsibility policies are discussed in terms of their potential to encourage TBP uptake and their overall impact on social welfare.