中文目錄
1.如何使用自然實驗來估計錯配
2.法律與規(guī)范：經(jīng)驗證據(jù)
3.平行趨勢何時對函數(shù)形式敏感
4.稅收政策和投資行為：來自中國增值稅改革的證據(jù)
5.非金融企業(yè)的資產(chǎn)專有性
6.金融與綠色增長

1.How to Use Natural Experiments to Estimate Misallocation（AER2023）

Abstract: We propose a method to estimate the effect of firm policies (e.g., bankruptcy laws) on allocative efficiency using (quasi-)experimental evidence. Our approach takes general equilibrium effects into account and requires neither a structural estimation nor a precise assumption on how the experiment affects firms. Our aggregation formula relies on treatment effects of the policy on the distribution of output-to-capital ratios, which are easily estimated. We show this method is valid for a large class of commonly used models in macrofinance. We apply it to the French banking deregulation episode of the mid-1980s and find an increase in aggregate TFP of 5 percent.

2.Law and Norms: Empirical Evidence（AER2023）

Abstract: A large theoretical literature argues laws exert a causal effect on norms, but empirical evidence remains scant. Using a novel identification strategy, we provide a compelling empirical test of this proposition. We use incentivized vignette experiments to directly measure social norms relating to actions subject to legal thresholds. Our large-scale experiments (n = 7,000) run in the United Kingdom, United States, and China show that laws can causally influence social norms. Results are robust across different samples and methods of measuring norms, and are consistent with a model of social image concerns where individuals care about the inferences others make about their underlying prosociality.

3.When Is Parallel Trends Sensitive to Functional Form?（ECMA2023）

This paper assesses when the validity of difference-in-differences depends on functional form. We provide a novel characterization: the parallel trends assumption holds under all strictly monotonic transformations of the outcome if and only if a stronger “parallel trends”-type condition holds for the cumulative distribution function of untreated potential outcomes. This condition for parallel trends to be insensitive to functional form is satisfied if and essentially only if the population can be partitioned into a subgroup for which treatment is effectively randomly assigned and a remaining subgroup for which the distribution of untreated potential outcomes is stable over time. These conditions have testable implications, and we introduce falsification tests for the null that parallel trends is insensitive to functional form.

4.Tax Policy and?Lumpy Investment Behaviour: Evidence from China’s VAT Reform（RES2023）

We incorporate the lumpy nature of firm-level investment into the study of how tax policy affects investment behaviour. We show that tax policies can directly impact the lumpiness of investment. Extensive-margin responses to tax policy are key to understanding the effects of different tax reforms and to designing effective stimulus policies. We illustrate these results by studying China’s 2009 VAT reform, which lowered the tax cost of investment and reduced partial irreversibility—the price gap between new and used capital. Using comprehensive tax survey data and a difference-in-differences design, we estimate a 36%% relative investment increase that is driven by investment spikes. Using a dynamic investment model that fits the reduced-form effects of the reform, we show that policies that directly reduce the likelihood of firm inaction are more effective at stimulating investment.

5.Asset Specificity of Nonfinancial Firms（QJE2023）

We develop a new data set to study asset specificity among nonfinancial firms. Our data cover the liquidation values of each category of assets on firms’ balance sheets and provides information across major industries. First, we find that nonfinancial firms have high asset specificity. For example, the liquidation value of fixed assets is 35% of the net book value in the average industry. Second, we analyze the determinants of asset specificity and document that assets’ physical attributes (e.g., mobility, durability, and customization) play a crucial role. Third, we investigate several implications. Consistent with theories of investment irreversibility, high asset specificity is associated with less disinvestment and stronger effects of uncertainty on investment activities. We also find that the increasing prevalence of intangible assets has not significantly reduced firms’ liquidation values.

6.Finance and Green Growth（EJ2023）

We study how countries’ financial structure affects their transition to low-carbon growth. Using global industry-level data, we document that carbon-intensive industries reduce emissions faster in economies with deeper stock markets. The main channel underpinning this stylised fact is that stock markets facilitate green innovation in carbon-intensive sectors, resulting in lower carbon emissions per unit of output. More tentative evidence indicates that stock markets also help to reallocate investment towards more energy-efficient sectors. Cross-border spillovers are limited: less than 5% of these industry-level reductions in domestic emissions are offset by carbon embedded in imports. A firm-level analysis of an exogenous shock to the cost of equity in Belgium confirms our findings.