Research background: Studying the impact of metrology on the economy is a complicated matter. This is due to the specific nature of both metrology and the economy. There is no established method for determining the impact of metrology on the economy. Purpose: The paper attempts to build an...

Understanding the developments of atmospheric ethane is essential for better identifying the anthropogenic sources of methane, a major greenhouse gas with high global warming potential. While previous studies have focused on analyzing past trends in ethane and modeling the inter-annual...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in nowcasting across simulation and six country cases, traditional econometric models tend to outperform...

Do trade imbalances boost incomes in surplus economies at the expense of deficit economies? We show that the answer is yes in an important subclass of quantitative trade models. This is the consequence of scale economies concentrated in the traded sector. A rise in net exports causes the traded...

This paper examines the spillover effects of bankruptcy by important tech industry banks-Silicon Valley Bank (SVB), Silvergate Bank, and Signature Bank-on the top 10 institutions in the MSCI Bank Index and the role that monetary policy by the US Federal Reserve (the Fed) played in this...

This paper shifts studies on macroeconomic models from a national to a regional scope. Regions, indeed, often follow growth trajectories that dif- fer greatly from others within the same country. In this study we propose a macroeconometric model for 20 economies corresponding to the Italian...

"This book is intended for graduate instruction in subjects like econometrics, economics, environmental science, social science and many other fields, at the Masters or PhD levels. It can be used as a textbook or as a reference guide. It covers a wide range of topics related to tools used in...

The article compares ARMA, boosting, neural network models, GARCH and HAR models, and proposes a new efficient method for forecasting one day ahead of the realized volatility of financial series. The GARCH and HAR models are taken as comparable models, which showed the best results in Manevich...

We suggest a simple yet novel solution for fitting negatively valued functions in economic modeling and treating the econometric issues of estimation arising. To this end, we suggest representing complex arguments by simpler, more intuitive arguments in polar coordinates which, in turn, allow us...

Since the late 1960s, the rising volatility of financial markets in the US has troubled econometricians and bank managers alike. Both professions have found it increasingly difficult to forecast savings deposit flows. This article explores these challenges by focusing on two developments. First,...

The study aims to research the correlation between unemployment and inflation in Sweden between March 2020 - November 2021 to provide further insight into the validity of the Phillips curve. Previous research has found a contradictive relationship between unemployment and inflation. In addition,...

The dominance of model-building in modern economics is far from a new finding. Marcel Boumans intends to separate himself from previous analyses by pursuing a specific focus, namely the development of a «separate methodology of models». To achieve this goal he focusses on the contributions by...

"*Network Models in Finance: Expanding the Tools for Portfolio and Risk Management* explores the application of network theory to asset management, emphasizing how network-based methodologies can enhance portfolio and risk management. The book integrates quantitative modeling, causal...

Importance of Filters in Data Processing Pipeline discusses about the challenges of dealing with real-world data and application of Kalman Filter to improve the reliability and accuracy of models -- Volatility Modeling discusses the common problem with volatility or variance and covers how...

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Some interventions or population attributes negate the effects of a treatment. This paper shows that incorporating these, what we call antidotal variables (AV), into a causal treatment effects analysis can with one cross-sectional regression identify the true causal effect, in addition to...

Ethanol has attracted considerable policy attention both for its use as a gasoline substitute, and as a way to enhance profits in rural areas. In this paper, we analyze the effects of government policy on the decisions of ethanol-producing firms to invest in building new ethanol plants in the...

The paper presents descriptive evidence from quantile regressions and more "structural" estimates from a human capital model with heterogenous returns to show that most of the increase in wage inequality between 1973 and 2005 is due to a dramatic increase in the return to post-secondary...

This paper analyzes the effects of maternal time allocation between work, child care, and leisure and non-parental child care on a child's cognitive development. By using data for the US from the Panel Study of Income Dynamics, we estimate a model that takes into account the heterogeneity in a...

This paper proposes a set of novel pricing factors for currency returns that are motivated by microstructure models. In so doing, we bring two strands of the exchange rate literature, namely market-microstructure and risk-based models, closer together. Our novel factors use order flow data to...

The paper provides an introductory guide for active managers that illustrates econometric techniques for alpha generation in active asset management. For modelling stock market returns three different model types are discussed: (i) fair value models that identify over- and undervaluations, (ii)...

This article examines the powerful combination of machine learning and econometric models to examine unstructured data. Researchers estimate an econometric model (e.g., logit regression, structural model) that relates an outcome of interest (e.g., sales) to a focal feature in unstructured data...

We lay out a tractable model for fiscal and monetary policy analysis in a currency union, and analyze its implications for the optimal design of such policies. Monetary policy is conducted by a common central bank, which sets the interest rate for the union as a whole. Fiscal policy is...

We construct linear projections of macro variables conditional on hypothetical paths of monetary policy, using as an example an identified VAR model. Hypothetical policies are restricted to ones where both the policy intervention and its impacts are consistent with history -- otherwise the...