We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...

We investigate profit-maximizing versioning plans for an information goods monopolist. The analysis employs data obtained from a web-based field experiment in which potential buyers were offered information goods in varied price-quality configurations. Maximum simulated likelihood (MSL) methods...

We propose a method to generate flexible mixture distributions that are useful for estimating models such as the mixed logit model using simulation. The method is easy to implement, yet it can approximate essentially any mixture distribution. We test it with good results in a simulation study...

The paper explores the impact of a government sponsored microcredit program in India on women's decision-making agency across different socio-religious communities. The paper shows that women's participation in the Swarnajayanti Gram Swarojgar Yojona (SGSY) has resulted in varied patterns of...

The renewable energy consumption-economic growth nexus is a growing area of research over the last few years, emanating to mixed results. The aim of the current study is to quantitatively synthesise the empirical literature on the subject using the meta-analysis approach. In particular, a...

Purpose – The objective of this paper is to understand better the determinants of child labour and schooling in Bangladesh. Design/methodology/approach – This paper uses data from a survey based in rural Bangladesh and considers the children aged 5-17 years living in rural households in...

The renewable energy consumption-economic growth nexus is a growing area of research over the last few years, emanating to mixed results. The aim of the current study is to quantitatively synthesise the empirical literature on the subject using the meta-analysis approach. In particular, a...

Using the HILDA Survey, this study examines state-dependence and stepping stone effects of low pay in Australia. The results show that both state-dependence and stepping stone effects of low pay are present after observed and unobserved individual heterogeneity is accounted for. The results also...

The paper examines the impact of credit rating on capital adequacy ratios of Indian state-owned banks using quarterly data for the period 1997:1 to 2002:4. To this end, a multinomial logit model with multi credit rating indicators as dependent variable is estimated. The variables that can...

The binary and multinomial logit models are applied for prediction of the Russian banks defaults (license withdrawals) using data from bank balance sheets and macroeconomic indicators. Significantly different models correspond to the two main grounds for license withdrawal: financial insolvency...