Marketing mix modeling has existed for decades now. Everyone has been using it, some tapped its potential with enormous success while others are yet to see its true potential. Rapidly changing marketing environment, consumer dynamics and multi touch points have made it even more complex to get...

Factor model is an appealing and effective analytic tool for high-dimensional time series, with a wide range of applications in economics, finance and statistics. One of the fundamental issues in using factor model for time series in practice is the determination of the number of factors to use....

More than five decades after the Green Revolution transformed agriculture in the Indian state of Punjab, with positive spillovers to the rest of India, the state’s economy has been struggling. Punjab has fallen behind in rankings of per capita state output, and is experiencing environmental...

This paper empirically examines the relationship between economic growth and structural change in India over recent decades. It first estimates panel regressions with state-level data, to examine the impact of structural change on growth and vice versa. Bidirectional causality is found, which...

Understanding the dynamics of interregional inequality is important when formulating development policies. In this paper, we investigate the convergence pattern in regional inequality within 49 African countries over the period 1992-2012 using satellite night-light based inequality proxies. We...

The IAB employment subsample is now available for researchers in a third, anonymized version. Following the so-called basic file and the regional file from the IAB employment subsample, which encompassed the years 1975 to 1990, the actualized version of the basic file covers now the years 1975...

This chapter describes the main impact evaluation methods, both experimental and quasi-experimental, and the statistical model underlying them. Some of the most important methodological advances to have recently been put forward in this field of research are presented. We focus not only on the...

Datasets that are terabytes in size are increasingly common, but computer bottlenecks often frustrate a complete analysis of the data. While more data are better than less, diminishing returns suggest that we may not need terabytes of data to estimate a parameter or test a hypothesis. But which...

Cet article présente les contributions originelles et essentielles de T. Sargent et C. Sims à la modélisation macro-économétrique. Après avoir exposé leur critique de la modélisation existante, cet article s'attache à préciser l'originalité de leurs approches respectives. La...

In a recent paper, Fajardo et al. (2009) propose an alternative semiparametric estimator of the fractional parameter in ARFIMA models which is robust to the presence of additive outliers. The results are very interesting, however, they use samples of 300 or 800 observations which are rarely...