计量经济分析 = Econometric analysis

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

We undertook a meta-analysis of six Crohn's disease genome-wide association studies (GWAS) comprising 6,333 affected individuals (cases) and 15,056 controls and followed up the top association signals in 15,694 cases, 14,026 controls and 414 parent-offspring trios. We identified 30 new susceptibility loci meeting genome-wide significance (P < 5 × 10⁻⁸). A series of in silico analyses highlighted particular genes within these loci and, together with manual curation, implicated functionally interesting candidate genes including SMAD3, ERAP2, IL10, IL2RA, TYK2, FUT2, DNMT3A, DENND1B, BACH2 and TAGAP. Combined with previously confirmed loci, these results identify 71 distinct loci with genome-wide significant evidence for association with Crohn's disease.

/pdf/genome-wide-meta-analysis-increases-to-71-the-number-of-53iv5li6wv.pdf

Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci

Statistics For Spatial Data

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https://link.springer.com/content/pdf/10.1057%2Fjors.1974.92.pdf

The Nature of Managerial Work

An investigation into the relationship between size and efficiency of the Italian hospitality sector: A window DEA approach

Criminal activity acts like a tax on the entire economy: it discourages domestic and foreign direct investments, it reduces firms' competitiveness, and reallocates resources creating uncertainty and inefficiency. Although the impact of economic variables on crime has been widely investigated, there is not much concern about crime also affecting the overall economic performance. This work aims to bridge this gap by presenting an empirical analysis of the macroeconomic consequences of criminal activity. Italy is the case study for the time span 1979–2002. Dealing with a state space framework, a time varying parameter approach is employed to measure the impact of criminality on real Gross Domestic Product along time, and to measure the asymmetric impact in recession and expansion periods. The analysis is completed evaluating the effects of crime fluctuations in the long period by an impulse response analysis. (This abstract was borrowed from another version of this item.)

Does Crime Affect Economic Growth

This paper analyses the linkage between tourism and crime with particular focus on the distortions generated onto criminal activities by the presence of visitors. Controlling for socio-demographic and economic variables, we empirically investigate the contribution of tourist arrivals to different types of crimes for 103 Italian provinces and for the year 2005. Possible spill-over effects of crime are taken into account by testing two spatial models (one spatial lag model and one spatial error model). We also test the hypothesis according to which the different geography of tourist destinations - i.e. urban, mountain, marine etc- alters the impact of tourism on crime. Finally, we measure the social cost of crime associated with tourist arrivals.

Crime as tourism externality

Does good governance attract tourists

We gauge the cost of crime in Italy by concentrating on a subset of offences covering about 64% of total recorded crimes in the year 2006. Following the breakdown of costs put forward by Brand and Price, we focus on the costs in anticipation, as a consequence, and in response to a specific offence. The estimated total social cost is more than €38 billion, which amounts to about 2.6% of Italy's GDP. To show the usefulness of these measures, we borrow the elasticity estimates from recent studies concerning the determinants of crime in Italy and calculate the cost associated with the surge in crime fuelled by unemployment and pardons. Indeed, in both cases such costs are substantial, implying that they should no longer be skipped when assessing the relative desirability of public policies towards crime.

Counting the cost of crime in Italy

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