India is the second largest producer of the fruits and vegetables in the world after China. Since the 1980s the international trade in fruits and vegetables has expanded rapidly. The number of commodities as well as the number of varieties produced and traded have drastically increased during...

India's economic standing and its policy landscape have come a long way since the 1943 Bengal famine. History saw buffer stocking of food grains as a famine-combating tool. Today, apart from serving as an effective hedge in times of famines, such grain stocks are a conduit deployed by the...

The study revealed the strong impact of policy measures on production, procurement, stocks and trade. We detected several market distortions and mounting fiscal costs. Wheat and rice supply strongly and significantly respond to the minimum support price (MSP). Wholesale prices at planting or...

Since the early 2000s, many Indian states started reforming their agricultural marketing policies and allowed private traders to buy directly from farmers outside the state-regulated market system. The experience of these states during the period 2000 - 2012 can shed light on the impact of...

Markov models introduce persistence in the mixture distribution. In time series analysis, the mixture components relate to different persistent states characterizing the state-specific time series process. Model specification is discussed in a general form. Emphasis is put on the functional form...

There is now considerable evidence that business cycle variation in output and employment in the U.S. differs in expansions and contractions. We present nonparametric evidence that asymmetries are strongest in durable goods manufacturing. In a Markov switching framework, we find two leading...

In this article, we demonstrate that a small degree of stochastic variation in the depreciation rate of capital can greatly reduce the comovement between hours worked and labor productivity in a neoclassical growth model. The depreciation rate is modeled as a Markov process to place a strict...

Two Bayesian sampling schemes are outlined to estimate a K-state Markov switching model with time-varying transition probabilities. Data augmentation for the multinomial logit model of the transition probabilities is alternatively based on a random utility and a difference in random utility...

In this paper, we examine the evolution of the S&P500 returns volatility around market crashes using a Markov-Switching model. We find that volatility typically switches into the high volatility state well before a crash and remains in the high state for a considerable period of time after the...

In this paper, we propose a method for jointly estimating indexes of economic and financial conditions by exploiting the intertemporal link between their cyclical behavior. This method combines a dynamic factor model for the joint modeling of economic and financial variables with mixed...