This paper establishes conditions for nonparametric identification of dynamic optimization models in which agents make both discrete and continuous choices. We consider identification of both the payoff function and the distribution of unobservables. Models of this kind are prevalent in applied...

Gross Domestic Product (GDP) is one of the most important indicators that reflects the evolution and resilience of national economies. The importance of this macroeconomic indicator is growing in the current economic context, context in which international studies start to emphasize the...

This paper evaluates the effects of the North American Free Trade Agreement on the economic growth of Mexico, the United States and Canada by means of an augmented Solow growth model. Such a model is estimated with panel data through two econometric methods: 1) the Arellano-Bond dynamic panel...

The goal of this research paper is to empirically assess the potential effects of macroeconomic determinants of economic growth and to determine the impact of income inequality on economic growth in the long-run in ten former socialist countries from Central and Eastern Europe (CEE) which are...

The objective of the paper is to examine the asymmetric relationships between ICT, globalization, and human development in India by analysing the annual data from 1991 to 2019 through the non-linear autoregressive distributed lag (NARDL) model. The result shows that positive (negative) change in...

The purpose of this study was to investigate direct effects of capital inflow, financial deepe- ning on economic growth in Nigeria due to diverse contentions it stirred among researchers from 1981 to 2018 using the Autoregressive Dis- tributive Lag (ARDL) co-integration approach. The findings...

This paper considers a functional-coefficient spatial Durbin model with nonparametric spatial weights. Applying the series approximation method, we estimate the unknown functional coefficients and spatial weighting functions via a nonparametric two-stage least squares (or 2SLS) estimation...

This study intends to understand how disaster is related to countries' production efficiency using a sample of 137 countries over 1980 - 2011. We analyze the effect of the number of man-made and natural disaster occurrences on countries' technological change (swift of the frontier) and...

The present study applies a bootstrapped data envelopment analysis (DEA) procedure to compute bias-corrected measures of agricultural total factor productivity (TFP) change and its components (technical change and technical efficiency change) using a panel data of 19 regions of Bangladesh...

This paper is the first to study a comparatively new Environmental Kuznets Curve which traces empirically the relationship between environmental abatement and real GDP. Our model is a partial linear semi parametric model that allows for two way fixed effects to eliminate the bias arising from...