Fixed effects estimators of panel models can be severely biased because of the wellknown incidental parameters problem. We develop analytical and jackknife bias corrections for nonlinear models with both individual and time effects. For asymptotics where the time-dimension (T ) grows with the cross-sectional dimension (N), the time effects introduce additional incidental parameter bias. As the ...

In retail operations, customer choices may be affected by stockout and promotion events. Given panel data with the transaction history of customers, and product availability and promotion data, our goal is to predict future individual purchases. We use a general nonparametric framework in which we represent customers by partial orders of preferences. In each store visit, each customer samples a...

Poland’s imminent entry into the EU re-emphasises the long-standing need for the restructuring of the country’s agricultural sector and the associated re-allocation of its bloated workforce. The transition matrix of net flows derived from an annual panel of micro-data taken from the LFS confirms the impression of the stagnation that is conveyed by gross movements that are computable from the pu...

In this article, we estimate the price elasticities of demand for subscription and consumer switching costs for mobile telephony. We use a panel of Portuguese consumer level data to estimate a series of multinomial and mixed logit models. The demand for subscription is elastic. Switching costs are large. We use the structural model to perform several policy exercises. Switching costs and brand ...

To improve the detection of the economic ”danger zones” from which severe banking crises emanate, this paper introduces classification tree ensembles to the banking crisis forecasting literature. I show that their out-of-sample performance in forecasting binary banking crisis indicators surpasses current best-practice early warning systems based on logit models by a substantial margin. I obtain...

Understanding the impact of smartphone-based multimodal information (SMMI) on travellers' P&R (park-and-ride) choice behaviour is very limited so far. The purpose this study to better understand how SMMI, social network information, and individual characteristics influence mode choices. A stated preference experiment consisting one option two auto-driving routes was conducted collect car commut...

This study aims to develop motorcycle ownership and usage models with consideration of the state dependence and heterogeneity effects based on a large-scale questionnaire panel survey on vehicle owners. To account for the independence among alternatives and heterogeneity among individuals, the modeling structure of motorcycle ownership adopts disaggregate choice models considering the multinomi...

On a shopping trip to a supermarket a customer may purchase a product in a given category and, if so, buys a particular brand. A previous paper by the authors models the brand choice part of this process. A multinomial logit model describes the selection of brand and size given that the customer makes a category purchase. Explanatory variables include store actions, such as price and promotion,...

The paper is concerned with the role of international outsourcing and import penetration for determining individual perceived job security. Combining industry-level outsourcing and trade measures with micro-level data from a large household panel survey, we estimate a number of conditional logit models accounting for the ordinal nature of reported job loss fears and individual unobserved hetero...