A New General Equilibrium Welfare Measure, with Application to Labor Income Taxes

In this paper we extend the Hicksian compensating variation welfare measure in two directions. First, we adjust the size of the compensating variation in order to account for the fact that the compensating transfers will result in changes in output, as well as in prices, because labor and, in dynamic models, capital will adjust in response to these transfers. Second, we extend the measure to a dynamic setting with possibly time non-separable preferences. We find that these considerations become more significant for the welfare cost of higher labor income taxes as one moves from static to dynamic models, to models with time non-separable preferences, and finally to models with uncertainty.

How does fiscal austerity impact on poverty and inequality? The Spanish case

The aim of this paper is contributing to fill the gap between the macroeconomic effects of policy reforms and the microeconomic and social ones, considering simultaneously both kind of impacts. Regarding fiscal adjustments, concern about the sustainability of public deficit and debt resulting from the Great Recession led governments to adopt austerity measures in most European countries. Our analysis considers the redistributive effects of such adjustments for the Spanish economy by simulating a hypothetical reduction of public deficit and distinguishing between spending cuts and tax hikes. In terms of analytical approach, a Computable General Equilibrium (CGE) model and a microsimulation model are integrated to include the general equilibrium effects of these measures as well as the effects on income distribution. The results contribute to the growing but limited literature on the distributional effects of fiscal consolidations by showing that policymakers have to choose between more inequality or more poverty.

External Shocks and Their Transmission Channels in Nigeria: A Dynamic Stochastic General Equilibrium Approach

The study examines the sources of external shocks and investigates their transmission channels in Nigeria using the trade-weighted variables from the country’s five top trading partners. Based on the assumption of the small open economy model, the study adopts the New Keynesian Dynamic Stochastic General Equilibrium Model on quarterly data between 1981 and 2018 using the Bayesian estimation technique. Findings from the study reveal that external shocks have a temporary and short-lived effect on the Nigerian economy. In addition, the article shows that oil price, foreign output, and foreign inflation shock have positive impacts on output gap and inflation, while the impact of foreign interest rate shock on the output gap and inflation is negative and not significant. The study also reveals that external shocks collectively explain 86% and 39%of total fluctuations in the output gap and inflation, respectively. Lastly, the study finds that external shocks transmit to the Nigerian economy via different channels. The study, therefore, concludes that terms of trade and exchange rate channels are the dominant transmitters of external shocks in Nigeria. Based on the findings from the study, important policy implications are highlighted.

Impact of COVID-19 on the US and Texas Economy: A General Equilibrium Approach

This paper examines the impact of COVID-19 on the US and Texas economy using a computable general equilibrium model, REMI PI+. We consider three scenarios based on economic forecasts from various sources, including the University of Michigan’s RSQE (Research Seminar in Quantitative Economics), IMF, and the Wi orld Bank. We report a GDP loss of $106 million (a 6% decline) with 1.2 million jobs lost (6.6%) in Texas in 2020. At the national level, GDP loss is $996 billion (a 5% decline) with 11.5 million jobs lost (5.5%) in the same year. By 2026, the aggregate total GDP loss in Texas ranges from $378 to $629 million. The estimated unemployment rate in Texas in 2021 ranges from 5% to 7.7%, depending on modeling assumptions. The granularity of the CGE results allow examination of the most and least impacted industries. Health Care and Social Assistance, Construction, and Accommodation and Food Services incur the most job loss while State and Local Government and Farm will likely see an increase in jobs for 2020. These insights separate our work from most current impact studies.